id	sid	tid	token	lemma	pos
easat-9249	1	1	edelweiss	edelweiss	PROPN
easat-9249	1	2	applied	apply	VERB
easat-9249	1	3	science	science	NOUN
easat-9249	1	4	and	and	CCONJ
easat-9249	1	5	technology	technology	NOUN
easat-9249	1	6	issn	issn	PROPN
easat-9249	1	7	:	:	PUNCT
easat-9249	1	8	2576	2576	NUM
easat-9249	1	9	-	-	SYM
easat-9249	1	10	8484	8484	NUM
easat-9249	1	11	vol	vol	NOUN
easat-9249	1	12	.	.	PROPN
easat-9249	2	1	9	9	NUM
easat-9249	2	2	,	,	PUNCT
easat-9249	2	3	no	no	INTJ
easat-9249	2	4	.	.	NOUN
easat-9249	2	5	8	8	NUM
easat-9249	2	6	,	,	PUNCT
easat-9249	2	7	148	148	NUM
easat-9249	2	8	-	-	SYM
easat-9249	2	9	178	178	NUM
easat-9249	2	10	2025	2025	NUM
easat-9249	2	11	publisher	publisher	NOUN
easat-9249	2	12	:	:	PUNCT
easat-9249	2	13	learning	learn	VERB
easat-9249	2	14	gate	gate	NOUN
easat-9249	2	15	doi	doi	PROPN
easat-9249	2	16	:	:	PUNCT
easat-9249	2	17	10.55214/2576	10.55214/2576	NUM
easat-9249	2	18	-	-	SYM
easat-9249	2	19	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	2	20	©	©	ADP
easat-9249	2	21	2025	2025	NUM
easat-9249	2	22	by	by	ADP
easat-9249	2	23	the	the	DET
easat-9249	2	24	authors	author	NOUN
easat-9249	2	25	;	;	PUNCT
easat-9249	2	26	licensee	licensee	PROPN
easat-9249	2	27	learning	learning	NOUN
easat-9249	2	28	gate	gate	NOUN
easat-9249	3	1	©	©	PROPN
easat-9249	3	2	2025	2025	NUM
easat-9249	3	3	by	by	ADP
easat-9249	3	4	the	the	DET
easat-9249	3	5	authors	author	NOUN
easat-9249	3	6	;	;	PUNCT
easat-9249	3	7	licensee	licensee	PROPN
easat-9249	3	8	learning	learning	NOUN
easat-9249	3	9	gate	gate	NOUN
easat-9249	3	10	history	history	NOUN
easat-9249	3	11	:	:	PUNCT
easat-9249	3	12	received	receive	VERB
easat-9249	3	13	:	:	PUNCT
easat-9249	3	14	26	26	NUM
easat-9249	3	15	may	may	PROPN
easat-9249	3	16	2025	2025	NUM
easat-9249	3	17	;	;	PUNCT
easat-9249	3	18	revised	revise	VERB
easat-9249	3	19	:	:	PUNCT
easat-9249	3	20	8	8	NUM
easat-9249	3	21	july	july	NOUN
easat-9249	3	22	2025	2025	NUM
easat-9249	3	23	;	;	PUNCT
easat-9249	3	24	accepted	accept	VERB
easat-9249	3	25	:	:	PUNCT
easat-9249	3	26	11	11	NUM
easat-9249	3	27	july	july	NOUN
easat-9249	3	28	2025	2025	NUM
easat-9249	3	29	;	;	PUNCT
easat-9249	3	30	published	publish	VERB
easat-9249	3	31	:	:	PUNCT
easat-9249	3	32	4	4	NUM
easat-9249	3	33	august	august	PROPN
easat-9249	3	34	2025	2025	NUM
easat-9249	3	35	*	*	PUNCT
easat-9249	3	36	correspondence	correspondence	NOUN
easat-9249	3	37	:	:	PUNCT
easat-9249	3	38	ibidun.obagbuwa@spu.ac.za	ibidun.obagbuwa@spu.ac.za	DET
easat-9249	3	39	machine	machine	NOUN
easat-9249	3	40	learning	learning	NOUN
easat-9249	3	41	models	model	NOUN
easat-9249	3	42	for	for	ADP
easat-9249	3	43	rainfall	rainfall	NOUN
easat-9249	3	44	prediction	prediction	NOUN
easat-9249	3	45	over	over	ADP
easat-9249	3	46	arid	arid	ADJ
easat-9249	3	47	climatic	climatic	ADJ
easat-9249	3	48	regions	region	NOUN
easat-9249	3	49	of	of	ADP
easat-9249	3	50	south	south	PROPN
easat-9249	3	51	africa	africa	PROPN
easat-9249	3	52	jeremiah	jeremiah	PROPN
easat-9249	3	53	ayodele	ayodele	PROPN
easat-9249	3	54	ogunniyi1	ogunniyi1	PROPN
easat-9249	3	55	,	,	PUNCT
easat-9249	3	56	mohamed	mohamed	PROPN
easat-9249	3	57	a.	a.	PROPN
easat-9249	3	58	m.	m.	PROPN
easat-9249	3	59	abd	abd	PROPN
easat-9249	3	60	elbasit2	elbasit2	PROPN
easat-9249	3	61	,	,	PUNCT
easat-9249	3	62	ibidun	ibidun	PROPN
easat-9249	3	63	christiana	christiana	PROPN
easat-9249	3	64	obagbuwa1	obagbuwa1	PROPN
easat-9249	3	65	*	*	PROPN
easat-9249	3	66	1department	1department	NUM
easat-9249	3	67	of	of	ADP
easat-9249	3	68	computer	computer	NOUN
easat-9249	3	69	science	science	NOUN
easat-9249	3	70	and	and	CCONJ
easat-9249	3	71	information	information	NOUN
easat-9249	3	72	technology	technology	NOUN
easat-9249	3	73	,	,	PUNCT
easat-9249	3	74	faculty	faculty	NOUN
easat-9249	3	75	of	of	ADP
easat-9249	3	76	natural	natural	ADJ
easat-9249	3	77	and	and	CCONJ
easat-9249	3	78	applied	applied	ADJ
easat-9249	3	79	sciences	science	NOUN
easat-9249	3	80	,	,	PUNCT
easat-9249	3	81	sol	sol	PROPN
easat-9249	3	82	plaatje	plaatje	PROPN
easat-9249	3	83	university	university	PROPN
easat-9249	3	84	,	,	PUNCT
easat-9249	3	85	south	south	PROPN
easat-9249	3	86	africa	africa	PROPN
easat-9249	3	87	;	;	PUNCT
easat-9249	3	88	ibidun.obagbuwa@spu.ac.za	ibidun.obagbuwa@spu.ac.za	PRON
easat-9249	3	89	(	(	PUNCT
easat-9249	3	90	i.c.o	i.c.o	NOUN
easat-9249	3	91	.	.	PUNCT
easat-9249	3	92	)	)	PUNCT
easat-9249	3	93	.	.	PUNCT
easat-9249	4	1	2department	2department	NUM
easat-9249	4	2	of	of	ADP
easat-9249	4	3	physical	physical	ADJ
easat-9249	4	4	and	and	CCONJ
easat-9249	4	5	earth	earth	NOUN
easat-9249	4	6	sciences	science	NOUN
easat-9249	4	7	,	,	PUNCT
easat-9249	4	8	faculty	faculty	NOUN
easat-9249	4	9	of	of	ADP
easat-9249	4	10	natural	natural	ADJ
easat-9249	4	11	and	and	CCONJ
easat-9249	4	12	applied	applied	ADJ
easat-9249	4	13	sciences	science	NOUN
easat-9249	4	14	,	,	PUNCT
easat-9249	4	15	sol	sol	PROPN
easat-9249	4	16	plaatje	plaatje	PROPN
easat-9249	4	17	university	university	PROPN
easat-9249	4	18	,	,	PUNCT
easat-9249	4	19	south	south	PROPN
easat-9249	4	20	africa	africa	PROPN
easat-9249	4	21	.	.	PUNCT
easat-9249	5	1	abstract	abstract	ADJ
easat-9249	5	2	:	:	PUNCT
easat-9249	5	3	this	this	DET
easat-9249	5	4	study	study	NOUN
easat-9249	5	5	focused	focus	VERB
easat-9249	5	6	on	on	ADP
easat-9249	5	7	predicting	predict	VERB
easat-9249	5	8	rainfall	rainfall	NOUN
easat-9249	5	9	in	in	ADP
easat-9249	5	10	four	four	NUM
easat-9249	5	11	arid	arid	ADJ
easat-9249	5	12	climatic	climatic	ADJ
easat-9249	5	13	zones	zone	NOUN
easat-9249	5	14	in	in	ADP
easat-9249	5	15	south	south	PROPN
easat-9249	5	16	africa	africa	PROPN
easat-9249	5	17	using	use	VERB
easat-9249	5	18	four	four	NUM
easat-9249	5	19	machine	machine	NOUN
easat-9249	5	20	learning	learning	NOUN
easat-9249	5	21	models	model	NOUN
easat-9249	5	22	.	.	PUNCT
easat-9249	6	1	prior	prior	ADV
easat-9249	6	2	to	to	ADP
easat-9249	6	3	this	this	PRON
easat-9249	6	4	,	,	PUNCT
easat-9249	6	5	numerical	numerical	ADJ
easat-9249	6	6	models	model	NOUN
easat-9249	6	7	were	be	AUX
easat-9249	6	8	used	use	VERB
easat-9249	6	9	for	for	ADP
easat-9249	6	10	weather	weather	NOUN
easat-9249	6	11	forecasts	forecast	NOUN
easat-9249	6	12	in	in	ADP
easat-9249	6	13	south	south	PROPN
easat-9249	6	14	africa	africa	PROPN
easat-9249	6	15	.	.	PUNCT
easat-9249	7	1	therefore	therefore	ADV
easat-9249	7	2	,	,	PUNCT
easat-9249	7	3	this	this	DET
easat-9249	7	4	study	study	NOUN
easat-9249	7	5	explores	explore	VERB
easat-9249	7	6	the	the	DET
easat-9249	7	7	use	use	NOUN
easat-9249	7	8	of	of	ADP
easat-9249	7	9	machine	machine	NOUN
easat-9249	7	10	learning	learning	NOUN
easat-9249	7	11	models	model	NOUN
easat-9249	7	12	for	for	ADP
easat-9249	7	13	rainfall	rainfall	NOUN
easat-9249	7	14	prediction	prediction	NOUN
easat-9249	7	15	.	.	PUNCT
easat-9249	8	1	the	the	DET
easat-9249	8	2	models	model	NOUN
easat-9249	8	3	used	use	VERB
easat-9249	8	4	include	include	VERB
easat-9249	8	5	linear	linear	PROPN
easat-9249	8	6	regression	regression	NOUN
easat-9249	8	7	,	,	PUNCT
easat-9249	8	8	random	random	ADJ
easat-9249	8	9	forest	forest	NOUN
easat-9249	8	10	,	,	PUNCT
easat-9249	8	11	support	support	NOUN
easat-9249	8	12	vector	vector	NOUN
easat-9249	8	13	machine	machine	NOUN
easat-9249	8	14	,	,	PUNCT
easat-9249	8	15	and	and	CCONJ
easat-9249	8	16	ridge	ridge	NOUN
easat-9249	8	17	and	and	CCONJ
easat-9249	8	18	lasso	lasso	NOUN
easat-9249	8	19	regression	regression	NOUN
easat-9249	8	20	.	.	PUNCT
easat-9249	9	1	the	the	DET
easat-9249	9	2	arid	arid	ADJ
easat-9249	9	3	climatic	climatic	ADJ
easat-9249	9	4	zones	zone	NOUN
easat-9249	9	5	were	be	AUX
easat-9249	9	6	divided	divide	VERB
easat-9249	9	7	into	into	ADP
easat-9249	9	8	four	four	NUM
easat-9249	9	9	regions	region	NOUN
easat-9249	9	10	using	use	VERB
easat-9249	9	11	the	the	DET
easat-9249	9	12	koppen	koppen	PROPN
easat-9249	9	13	-	-	PUNCT
easat-9249	9	14	geiger	geiger	NOUN
easat-9249	9	15	climate	climate	NOUN
easat-9249	9	16	classification	classification	NOUN
easat-9249	9	17	system	system	NOUN
easat-9249	9	18	,	,	PUNCT
easat-9249	9	19	with	with	ADP
easat-9249	9	20	three	three	NUM
easat-9249	9	21	locations	location	NOUN
easat-9249	9	22	selected	select	VERB
easat-9249	9	23	for	for	ADP
easat-9249	9	24	each	each	DET
easat-9249	9	25	zone	zone	NOUN
easat-9249	9	26	.	.	PUNCT
easat-9249	10	1	atmospheric	atmospheric	ADJ
easat-9249	10	2	datasets	dataset	NOUN
easat-9249	10	3	from	from	ADP
easat-9249	10	4	the	the	DET
easat-9249	10	5	south	south	ADJ
easat-9249	10	6	african	african	ADJ
easat-9249	10	7	weather	weather	NOUN
easat-9249	10	8	service	service	NOUN
easat-9249	10	9	(	(	PUNCT
easat-9249	10	10	1991–2023	1991–2023	NUM
easat-9249	10	11	)	)	PUNCT
easat-9249	10	12	and	and	CCONJ
easat-9249	10	13	nasa	nasa	PROPN
easat-9249	10	14	(	(	PUNCT
easat-9249	10	15	1983–2023	1983–2023	NUM
easat-9249	10	16	)	)	PUNCT
easat-9249	10	17	were	be	AUX
easat-9249	10	18	utilized	utilize	VERB
easat-9249	10	19	.	.	PUNCT
easat-9249	11	1	these	these	DET
easat-9249	11	2	datasets	dataset	NOUN
easat-9249	11	3	were	be	AUX
easat-9249	11	4	trained	train	VERB
easat-9249	11	5	from	from	ADP
easat-9249	11	6	1983	1983	NUM
easat-9249	11	7	to	to	ADP
easat-9249	11	8	2014	2014	NUM
easat-9249	11	9	and	and	CCONJ
easat-9249	11	10	tested	test	VERB
easat-9249	11	11	from	from	ADP
easat-9249	11	12	2015	2015	NUM
easat-9249	11	13	to	to	ADP
easat-9249	11	14	2023	2023	NUM
easat-9249	11	15	using	use	VERB
easat-9249	11	16	the	the	DET
easat-9249	11	17	four	four	NUM
easat-9249	11	18	models	model	NOUN
easat-9249	11	19	.	.	PUNCT
easat-9249	12	1	the	the	DET
easat-9249	12	2	monthly	monthly	ADJ
easat-9249	12	3	rainfall	rainfall	NOUN
easat-9249	12	4	predictions	prediction	NOUN
easat-9249	12	5	obtained	obtain	VERB
easat-9249	12	6	after	after	ADP
easat-9249	12	7	training	training	NOUN
easat-9249	12	8	and	and	CCONJ
easat-9249	12	9	testing	testing	NOUN
easat-9249	12	10	were	be	AUX
easat-9249	12	11	compared	compare	VERB
easat-9249	12	12	with	with	ADP
easat-9249	12	13	actual	actual	ADJ
easat-9249	12	14	data	datum	NOUN
easat-9249	12	15	to	to	PART
easat-9249	12	16	validate	validate	VERB
easat-9249	12	17	the	the	DET
easat-9249	12	18	models	model	NOUN
easat-9249	12	19	'	'	PART
easat-9249	12	20	accuracy	accuracy	NOUN
easat-9249	12	21	.	.	PUNCT
easat-9249	13	1	evaluation	evaluation	NOUN
easat-9249	13	2	metrics	metric	NOUN
easat-9249	13	3	such	such	ADJ
easat-9249	13	4	as	as	ADP
easat-9249	13	5	mean	mean	ADJ
easat-9249	13	6	absolute	absolute	ADJ
easat-9249	13	7	error	error	NOUN
easat-9249	13	8	,	,	PUNCT
easat-9249	13	9	mean	mean	ADJ
easat-9249	13	10	square	square	NOUN
easat-9249	13	11	error	error	NOUN
easat-9249	13	12	,	,	PUNCT
easat-9249	13	13	root	root	NOUN
easat-9249	13	14	mean	mean	VERB
easat-9249	13	15	square	square	NOUN
easat-9249	13	16	error	error	NOUN
easat-9249	13	17	,	,	PUNCT
easat-9249	13	18	correlation	correlation	NOUN
easat-9249	13	19	coefficient	coefficient	NOUN
easat-9249	13	20	,	,	PUNCT
easat-9249	13	21	and	and	CCONJ
easat-9249	13	22	coefficient	coefficient	NOUN
easat-9249	13	23	of	of	ADP
easat-9249	13	24	determination	determination	NOUN
easat-9249	13	25	were	be	AUX
easat-9249	13	26	used	use	VERB
easat-9249	13	27	to	to	PART
easat-9249	13	28	assess	assess	VERB
easat-9249	13	29	each	each	DET
easat-9249	13	30	model	model	NOUN
easat-9249	13	31	's	's	PART
easat-9249	13	32	performance	performance	NOUN
easat-9249	13	33	.	.	PUNCT
easat-9249	14	1	support	support	NOUN
easat-9249	14	2	vector	vector	NOUN
easat-9249	14	3	machine	machine	NOUN
easat-9249	14	4	and	and	CCONJ
easat-9249	14	5	random	random	ADJ
easat-9249	14	6	forest	forest	NOUN
easat-9249	14	7	were	be	AUX
easat-9249	14	8	the	the	DET
easat-9249	14	9	most	most	ADV
easat-9249	14	10	accurate	accurate	ADJ
easat-9249	14	11	models	model	NOUN
easat-9249	14	12	across	across	ADP
easat-9249	14	13	nearly	nearly	ADV
easat-9249	14	14	all	all	PRON
easat-9249	14	15	climatic	climatic	ADJ
easat-9249	14	16	zones	zone	NOUN
easat-9249	14	17	.	.	PUNCT
easat-9249	15	1	linear	linear	ADJ
easat-9249	15	2	regression	regression	NOUN
easat-9249	15	3	,	,	PUNCT
easat-9249	15	4	as	as	ADV
easat-9249	15	5	well	well	ADV
easat-9249	15	6	as	as	ADP
easat-9249	15	7	ridge	ridge	NOUN
easat-9249	15	8	and	and	CCONJ
easat-9249	15	9	lasso	lasso	NOUN
easat-9249	15	10	regression	regression	NOUN
easat-9249	15	11	,	,	PUNCT
easat-9249	15	12	also	also	ADV
easat-9249	15	13	performed	perform	VERB
easat-9249	15	14	well	well	ADV
easat-9249	15	15	in	in	ADP
easat-9249	15	16	various	various	ADJ
easat-9249	15	17	regions	region	NOUN
easat-9249	15	18	.	.	PUNCT
easat-9249	16	1	the	the	DET
easat-9249	16	2	study	study	NOUN
easat-9249	16	3	further	far	ADV
easat-9249	16	4	indicated	indicate	VERB
easat-9249	16	5	that	that	SCONJ
easat-9249	16	6	atmospheric	atmospheric	ADJ
easat-9249	16	7	parameters	parameter	NOUN
easat-9249	16	8	such	such	ADJ
easat-9249	16	9	as	as	ADP
easat-9249	16	10	dew	dew	NOUN
easat-9249	16	11	point	point	NOUN
easat-9249	16	12	,	,	PUNCT
easat-9249	16	13	cloud	cloud	NOUN
easat-9249	16	14	cover	cover	NOUN
easat-9249	16	15	,	,	PUNCT
easat-9249	16	16	and	and	CCONJ
easat-9249	16	17	water	water	NOUN
easat-9249	16	18	vapor	vapor	NOUN
easat-9249	16	19	are	be	AUX
easat-9249	16	20	essential	essential	ADJ
easat-9249	16	21	at	at	ADP
easat-9249	16	22	similar	similar	ADJ
easat-9249	16	23	time	time	NOUN
easat-9249	16	24	lags	lag	VERB
easat-9249	16	25	for	for	ADP
easat-9249	16	26	improved	improve	VERB
easat-9249	16	27	predictive	predictive	ADJ
easat-9249	16	28	performance	performance	NOUN
easat-9249	16	29	.	.	PUNCT
easat-9249	17	1	keywords	keyword	NOUN
easat-9249	17	2	:	:	PUNCT
easat-9249	17	3	arid	arid	NOUN
easat-9249	17	4	climate	climate	NOUN
easat-9249	17	5	,	,	PUNCT
easat-9249	17	6	climate	climate	NOUN
easat-9249	17	7	data	datum	NOUN
easat-9249	17	8	,	,	PUNCT
easat-9249	17	9	climatic	climatic	ADJ
easat-9249	17	10	regions	region	NOUN
easat-9249	17	11	,	,	PUNCT
easat-9249	17	12	machine	machine	NOUN
easat-9249	17	13	learning	learning	NOUN
easat-9249	17	14	,	,	PUNCT
easat-9249	17	15	predictive	predictive	ADJ
easat-9249	17	16	modeling	modeling	NOUN
easat-9249	17	17	,	,	PUNCT
easat-9249	17	18	rainfall	rainfall	NOUN
easat-9249	17	19	prediction	prediction	NOUN
easat-9249	17	20	,	,	PUNCT
easat-9249	17	21	south	south	PROPN
easat-9249	17	22	africa	africa	PROPN
easat-9249	17	23	,	,	PUNCT
easat-9249	17	24	time	time	NOUN
easat-9249	17	25	series	series	PROPN
easat-9249	17	26	analysis	analysis	NOUN
easat-9249	17	27	,	,	PUNCT
easat-9249	17	28	weather	weather	NOUN
easat-9249	17	29	forecasting	forecasting	NOUN
easat-9249	17	30	.	.	PUNCT
easat-9249	18	1	1	1	X
easat-9249	18	2	.	.	X
easat-9249	18	3	introduction	introduction	NOUN
easat-9249	18	4	the	the	DET
easat-9249	18	5	impact	impact	NOUN
easat-9249	18	6	of	of	ADP
easat-9249	18	7	weather	weather	NOUN
easat-9249	18	8	and	and	CCONJ
easat-9249	18	9	climate	climate	NOUN
easat-9249	18	10	on	on	ADP
easat-9249	18	11	daily	daily	ADJ
easat-9249	18	12	activities	activity	NOUN
easat-9249	18	13	can	can	AUX
easat-9249	18	14	not	not	PART
easat-9249	18	15	be	be	AUX
easat-9249	18	16	over	over	ADV
easat-9249	18	17	-	-	PUNCT
easat-9249	18	18	emphasized	emphasize	VERB
easat-9249	18	19	.	.	PUNCT
easat-9249	19	1	different	different	ADJ
easat-9249	19	2	human	human	ADJ
easat-9249	19	3	activities	activity	NOUN
easat-9249	19	4	and	and	CCONJ
easat-9249	19	5	programs	program	NOUN
easat-9249	19	6	,	,	PUNCT
easat-9249	19	7	such	such	ADJ
easat-9249	19	8	as	as	ADP
easat-9249	19	9	environmental	environmental	ADJ
easat-9249	19	10	,	,	PUNCT
easat-9249	19	11	economic	economic	ADJ
easat-9249	19	12	,	,	PUNCT
easat-9249	19	13	social	social	ADJ
easat-9249	19	14	,	,	PUNCT
easat-9249	19	15	and	and	CCONJ
easat-9249	19	16	political	political	ADJ
easat-9249	19	17	,	,	PUNCT
easat-9249	19	18	often	often	ADV
easat-9249	19	19	rely	rely	VERB
easat-9249	19	20	on	on	ADP
easat-9249	19	21	accurate	accurate	ADJ
easat-9249	19	22	weather	weather	NOUN
easat-9249	19	23	predictions	prediction	NOUN
easat-9249	19	24	.	.	PUNCT
easat-9249	20	1	these	these	DET
easat-9249	20	2	predictions	prediction	NOUN
easat-9249	20	3	are	be	AUX
easat-9249	20	4	made	make	VERB
easat-9249	20	5	using	use	VERB
easat-9249	20	6	hydrological	hydrological	ADJ
easat-9249	20	7	numerical	numerical	ADJ
easat-9249	20	8	models	model	NOUN
easat-9249	20	9	[	[	X
easat-9249	20	10	1	1	NUM
easat-9249	20	11	]	]	PUNCT
easat-9249	20	12	.	.	PUNCT
easat-9249	21	1	these	these	DET
easat-9249	21	2	models	model	NOUN
easat-9249	21	3	are	be	AUX
easat-9249	21	4	based	base	VERB
easat-9249	21	5	on	on	ADP
easat-9249	21	6	physical	physical	ADJ
easat-9249	21	7	laws	law	NOUN
easat-9249	21	8	such	such	ADJ
easat-9249	21	9	as	as	ADP
easat-9249	21	10	momentum	momentum	NOUN
easat-9249	21	11	,	,	PUNCT
easat-9249	21	12	energy	energy	NOUN
easat-9249	21	13	,	,	PUNCT
easat-9249	21	14	and	and	CCONJ
easat-9249	21	15	conservation	conservation	NOUN
easat-9249	21	16	of	of	ADP
easat-9249	21	17	mass	mass	PROPN
easat-9249	21	18	.	.	PUNCT
easat-9249	22	1	using	use	VERB
easat-9249	22	2	numerical	numerical	ADJ
easat-9249	22	3	models	model	NOUN
easat-9249	22	4	,	,	PUNCT
easat-9249	22	5	the	the	DET
easat-9249	22	6	important	important	ADJ
easat-9249	22	7	physical	physical	ADJ
easat-9249	22	8	processes	process	NOUN
easat-9249	22	9	at	at	ADP
easat-9249	22	10	all	all	DET
easat-9249	22	11	levels	level	NOUN
easat-9249	22	12	(	(	PUNCT
easat-9249	22	13	atmosphere	atmosphere	NOUN
easat-9249	22	14	,	,	PUNCT
easat-9249	22	15	ground	ground	NOUN
easat-9249	22	16	level	level	NOUN
easat-9249	22	17	,	,	PUNCT
easat-9249	22	18	and	and	CCONJ
easat-9249	22	19	soil	soil	NOUN
easat-9249	22	20	)	)	PUNCT
easat-9249	22	21	are	be	AUX
easat-9249	22	22	described	describe	VERB
easat-9249	22	23	with	with	ADP
easat-9249	22	24	their	their	PRON
easat-9249	22	25	impact	impact	NOUN
easat-9249	22	26	on	on	ADP
easat-9249	22	27	variables	variable	NOUN
easat-9249	22	28	such	such	ADJ
easat-9249	22	29	as	as	ADP
easat-9249	22	30	wind	wind	NOUN
easat-9249	22	31	,	,	PUNCT
easat-9249	22	32	water	water	NOUN
easat-9249	22	33	vapour	vapour	NOUN
easat-9249	22	34	,	,	PUNCT
easat-9249	22	35	temperature	temperature	NOUN
easat-9249	22	36	,	,	PUNCT
easat-9249	22	37	precipitation	precipitation	NOUN
easat-9249	22	38	,	,	PUNCT
easat-9249	22	39	clouds	cloud	NOUN
easat-9249	22	40	,	,	PUNCT
easat-9249	22	41	and	and	CCONJ
easat-9249	22	42	pressure	pressure	NOUN
easat-9249	22	43	.	.	PUNCT
easat-9249	23	1	however	however	ADV
easat-9249	23	2	,	,	PUNCT
easat-9249	23	3	these	these	DET
easat-9249	23	4	complex	complex	ADJ
easat-9249	23	5	models	model	NOUN
easat-9249	23	6	depend	depend	VERB
easat-9249	23	7	highly	highly	ADV
easat-9249	23	8	on	on	ADP
easat-9249	23	9	correct	correct	ADJ
easat-9249	23	10	information	information	NOUN
easat-9249	23	11	,	,	PUNCT
easat-9249	23	12	equations	equation	NOUN
easat-9249	23	13	,	,	PUNCT
easat-9249	23	14	and	and	CCONJ
easat-9249	23	15	many	many	ADJ
easat-9249	23	16	supercomputers	supercomputer	NOUN
easat-9249	23	17	,	,	PUNCT
easat-9249	23	18	making	make	VERB
easat-9249	23	19	the	the	DET
easat-9249	23	20	process	process	NOUN
easat-9249	23	21	challenging	challenge	VERB
easat-9249	23	22	.	.	PUNCT
easat-9249	24	1	with	with	ADP
easat-9249	24	2	the	the	DET
easat-9249	24	3	increase	increase	NOUN
easat-9249	24	4	in	in	ADP
easat-9249	24	5	the	the	DET
easat-9249	24	6	daily	daily	ADJ
easat-9249	24	7	data	data	PROPN
easat-9249	24	8	,	,	PUNCT
easat-9249	24	9	numerical	numerical	ADJ
easat-9249	24	10	models	model	NOUN
easat-9249	24	11	will	will	AUX
easat-9249	24	12	only	only	ADV
easat-9249	24	13	get	get	VERB
easat-9249	24	14	more	more	ADV
easat-9249	24	15	complex	complex	ADJ
easat-9249	24	16	in	in	ADP
easat-9249	24	17	accurately	accurately	ADV
easat-9249	24	18	predicting	predict	VERB
easat-9249	24	19	weather	weather	NOUN
easat-9249	24	20	and	and	CCONJ
easat-9249	24	21	climate	climate	NOUN
easat-9249	24	22	parameters	parameter	NOUN
easat-9249	24	23	while	while	SCONJ
easat-9249	24	24	also	also	ADV
easat-9249	24	25	increasing	increase	VERB
easat-9249	24	26	the	the	DET
easat-9249	24	27	probability	probability	NOUN
easat-9249	24	28	of	of	ADP
easat-9249	24	29	errors	error	NOUN
easat-9249	24	30	[	[	X
easat-9249	24	31	2	2	NUM
easat-9249	24	32	]	]	PUNCT
easat-9249	24	33	.	.	PUNCT
easat-9249	25	1	post	post	ADJ
easat-9249	25	2	-	-	ADJ
easat-9249	25	3	processing	processing	NOUN
easat-9249	25	4	is	be	AUX
easat-9249	25	5	done	do	VERB
easat-9249	25	6	to	to	PART
easat-9249	25	7	eliminate	eliminate	VERB
easat-9249	25	8	these	these	DET
easat-9249	25	9	model	model	NOUN
easat-9249	25	10	errors	error	NOUN
easat-9249	25	11	[	[	X
easat-9249	25	12	3	3	NUM
easat-9249	25	13	]	]	PUNCT
easat-9249	25	14	.	.	PUNCT
easat-9249	26	1	however	however	ADV
easat-9249	26	2	,	,	PUNCT
easat-9249	26	3	since	since	SCONJ
easat-9249	26	4	most	most	ADJ
easat-9249	26	5	quantities	quantity	NOUN
easat-9249	26	6	to	to	PART
easat-9249	26	7	be	be	AUX
easat-9249	26	8	measured	measure	VERB
easat-9249	26	9	have	have	VERB
easat-9249	26	10	limited	limit	VERB
easat-9249	26	11	time	time	NOUN
easat-9249	26	12	scales	scale	NOUN
easat-9249	26	13	,	,	PUNCT
easat-9249	26	14	it	it	PRON
easat-9249	26	15	reduces	reduce	VERB
easat-9249	26	16	the	the	DET
easat-9249	26	17	effectiveness	effectiveness	NOUN
easat-9249	26	18	of	of	ADP
easat-9249	26	19	eliminating	eliminate	VERB
easat-9249	26	20	errors	error	NOUN
easat-9249	26	21	[	[	X
easat-9249	26	22	4	4	NUM
easat-9249	26	23	]	]	PUNCT
easat-9249	26	24	.	.	PUNCT
easat-9249	27	1	this	this	PRON
easat-9249	27	2	leads	lead	VERB
easat-9249	27	3	to	to	ADP
easat-9249	27	4	the	the	DET
easat-9249	27	5	need	need	NOUN
easat-9249	27	6	for	for	ADP
easat-9249	27	7	machine	machine	NOUN
easat-9249	27	8	learning	learning	NOUN
easat-9249	27	9	(	(	PUNCT
easat-9249	27	10	ml	ml	NOUN
easat-9249	27	11	)	)	PUNCT
easat-9249	27	12	models	model	NOUN
easat-9249	27	13	and	and	CCONJ
easat-9249	27	14	algorithms	algorithm	NOUN
easat-9249	27	15	for	for	ADP
easat-9249	27	16	weather	weather	NOUN
easat-9249	27	17	prediction	prediction	NOUN
easat-9249	27	18	.	.	PUNCT
easat-9249	28	1	the	the	DET
easat-9249	28	2	advent	advent	NOUN
easat-9249	28	3	of	of	ADP
easat-9249	28	4	the	the	DET
easat-9249	28	5	21st	21st	ADJ
easat-9249	28	6	century	century	NOUN
easat-9249	28	7	brought	bring	VERB
easat-9249	28	8	about	about	ADP
easat-9249	28	9	an	an	DET
easat-9249	28	10	increase	increase	NOUN
easat-9249	28	11	in	in	ADP
easat-9249	28	12	big	big	ADJ
easat-9249	28	13	data	datum	NOUN
easat-9249	28	14	supercomputers	supercomputer	NOUN
easat-9249	28	15	with	with	ADP
easat-9249	28	16	high	high	ADJ
easat-9249	28	17	computational	computational	ADJ
easat-9249	28	18	power	power	NOUN
easat-9249	28	19	.	.	PUNCT
easat-9249	29	1	this	this	PRON
easat-9249	29	2	led	lead	VERB
easat-9249	29	3	to	to	ADP
easat-9249	29	4	the	the	DET
easat-9249	29	5	era	era	NOUN
easat-9249	29	6	of	of	ADP
easat-9249	29	7	machine	machine	NOUN
easat-9249	29	8	learning	learning	NOUN
easat-9249	29	9	and	and	CCONJ
easat-9249	29	10	artificial	artificial	ADJ
easat-9249	29	11	intelligence	intelligence	NOUN
easat-9249	29	12	,	,	PUNCT
easat-9249	29	13	with	with	ADP
easat-9249	29	14	one	one	NUM
easat-9249	29	15	of	of	ADP
easat-9249	29	16	its	its	PRON
easat-9249	29	17	applications	application	NOUN
easat-9249	29	18	being	be	AUX
easat-9249	29	19	weather	weather	NOUN
easat-9249	29	20	forecasting	forecasting	NOUN
easat-9249	29	21	.	.	PUNCT
easat-9249	30	1	machine	machine	NOUN
easat-9249	30	2	learning	learning	NOUN
easat-9249	30	3	models	model	NOUN
easat-9249	30	4	in	in	ADP
easat-9249	30	5	weather	weather	NOUN
easat-9249	30	6	forecasts	forecast	NOUN
easat-9249	30	7	have	have	AUX
easat-9249	30	8	been	be	AUX
easat-9249	30	9	limited	limit	VERB
easat-9249	30	10	https://orcid.org/0000-0002-7965-2823	https://orcid.org/0000-0002-7965-2823	ADJ
easat-9249	30	11	149	149	NUM
easat-9249	30	12	edelweiss	edelweiss	PROPN
easat-9249	30	13	applied	apply	VERB
easat-9249	30	14	science	science	NOUN
easat-9249	30	15	and	and	CCONJ
easat-9249	30	16	technology	technology	NOUN
easat-9249	30	17	issn	issn	PROPN
easat-9249	30	18	:	:	PUNCT
easat-9249	30	19	2576	2576	NUM
easat-9249	30	20	-	-	SYM
easat-9249	30	21	8484	8484	NUM
easat-9249	30	22	vol	vol	NOUN
easat-9249	30	23	.	.	PROPN
easat-9249	31	1	9	9	NUM
easat-9249	31	2	,	,	PUNCT
easat-9249	31	3	no	no	INTJ
easat-9249	31	4	.	.	NOUN
easat-9249	31	5	8	8	NUM
easat-9249	31	6	:	:	SYM
easat-9249	31	7	148	148	NUM
easat-9249	31	8	-	-	SYM
easat-9249	31	9	178	178	NUM
easat-9249	31	10	,	,	PUNCT
easat-9249	31	11	2025	2025	NUM
easat-9249	31	12	doi	doi	NOUN
easat-9249	31	13	:	:	PUNCT
easat-9249	31	14	10.55214/2576	10.55214/2576	NUM
easat-9249	31	15	-	-	SYM
easat-9249	31	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	31	17	©	©	ADP
easat-9249	31	18	2025	2025	NUM
easat-9249	31	19	by	by	ADP
easat-9249	31	20	the	the	DET
easat-9249	31	21	authors	author	NOUN
easat-9249	31	22	;	;	PUNCT
easat-9249	31	23	licensee	licensee	PROPN
easat-9249	31	24	learning	learn	VERB
easat-9249	31	25	gate	gate	NOUN
easat-9249	31	26	in	in	ADP
easat-9249	31	27	their	their	PRON
easat-9249	31	28	application	application	NOUN
easat-9249	31	29	due	due	ADP
easat-9249	31	30	to	to	ADP
easat-9249	31	31	computational	computational	ADJ
easat-9249	31	32	architecture	architecture	NOUN
easat-9249	31	33	and	and	CCONJ
easat-9249	31	34	power	power	NOUN
easat-9249	31	35	constraints	constraint	NOUN
easat-9249	31	36	.	.	PUNCT
easat-9249	32	1	however	however	ADV
easat-9249	32	2	,	,	PUNCT
easat-9249	32	3	in	in	ADP
easat-9249	32	4	recent	recent	ADJ
easat-9249	32	5	times	time	NOUN
easat-9249	32	6	,	,	PUNCT
easat-9249	32	7	these	these	DET
easat-9249	32	8	constraints	constraint	NOUN
easat-9249	32	9	have	have	AUX
easat-9249	32	10	been	be	AUX
easat-9249	32	11	overcome	overcome	VERB
easat-9249	32	12	with	with	ADP
easat-9249	32	13	the	the	DET
easat-9249	32	14	use	use	NOUN
easat-9249	32	15	of	of	ADP
easat-9249	32	16	the	the	DET
easat-9249	32	17	graphic	graphic	ADJ
easat-9249	32	18	processing	processing	NOUN
easat-9249	32	19	unit	unit	NOUN
easat-9249	32	20	(	(	PUNCT
easat-9249	32	21	which	which	PRON
easat-9249	32	22	is	be	AUX
easat-9249	32	23	faster	fast	ADV
easat-9249	32	24	)	)	PUNCT
easat-9249	32	25	and	and	CCONJ
easat-9249	32	26	increased	increase	VERB
easat-9249	32	27	computer	computer	NOUN
easat-9249	32	28	memory	memory	NOUN
easat-9249	32	29	,	,	PUNCT
easat-9249	32	30	which	which	PRON
easat-9249	32	31	makes	make	VERB
easat-9249	32	32	calculations	calculation	NOUN
easat-9249	32	33	efficient	efficient	ADJ
easat-9249	32	34	.	.	PUNCT
easat-9249	33	1	these	these	DET
easat-9249	33	2	new	new	ADJ
easat-9249	33	3	computational	computational	ADJ
easat-9249	33	4	methods	method	NOUN
easat-9249	33	5	include	include	VERB
easat-9249	33	6	big	big	ADJ
easat-9249	33	7	data	datum	NOUN
easat-9249	33	8	,	,	PUNCT
easat-9249	33	9	machine	machine	NOUN
easat-9249	33	10	learning	learning	NOUN
easat-9249	33	11	,	,	PUNCT
easat-9249	33	12	and	and	CCONJ
easat-9249	33	13	artificial	artificial	ADJ
easat-9249	33	14	intelligence	intelligence	NOUN
easat-9249	33	15	[	[	X
easat-9249	33	16	5	5	NUM
easat-9249	33	17	]	]	PUNCT
easat-9249	33	18	.	.	PUNCT
easat-9249	34	1	many	many	ADJ
easat-9249	34	2	researchers	researcher	NOUN
easat-9249	34	3	have	have	AUX
easat-9249	34	4	written	write	VERB
easat-9249	34	5	about	about	ADP
easat-9249	34	6	the	the	DET
easat-9249	34	7	importance	importance	NOUN
easat-9249	34	8	and	and	CCONJ
easat-9249	34	9	significance	significance	NOUN
easat-9249	34	10	of	of	ADP
easat-9249	34	11	machine	machine	NOUN
easat-9249	34	12	learning	learn	VERB
easat-9249	34	13	algorithms	algorithm	NOUN
easat-9249	34	14	for	for	ADP
easat-9249	34	15	various	various	ADJ
easat-9249	34	16	applications	application	NOUN
easat-9249	34	17	.	.	PUNCT
easat-9249	35	1	when	when	SCONJ
easat-9249	35	2	labelled	label	VERB
easat-9249	35	3	datasets	dataset	NOUN
easat-9249	35	4	are	be	AUX
easat-9249	35	5	available	available	ADJ
easat-9249	35	6	,	,	PUNCT
easat-9249	35	7	they	they	PRON
easat-9249	35	8	can	can	AUX
easat-9249	35	9	be	be	AUX
easat-9249	35	10	used	use	VERB
easat-9249	35	11	as	as	ADP
easat-9249	35	12	training	train	VERB
easat-9249	35	13	datasets	dataset	NOUN
easat-9249	35	14	to	to	PART
easat-9249	35	15	build	build	VERB
easat-9249	35	16	models	model	NOUN
easat-9249	35	17	that	that	PRON
easat-9249	35	18	can	can	AUX
easat-9249	35	19	be	be	AUX
easat-9249	35	20	tested	test	VERB
easat-9249	35	21	and	and	CCONJ
easat-9249	35	22	evaluated	evaluate	VERB
easat-9249	35	23	.	.	PUNCT
easat-9249	36	1	if	if	SCONJ
easat-9249	36	2	the	the	DET
easat-9249	36	3	result	result	NOUN
easat-9249	36	4	of	of	ADP
easat-9249	36	5	the	the	DET
easat-9249	36	6	model	model	NOUN
easat-9249	36	7	is	be	AUX
easat-9249	36	8	satisfactory	satisfactory	ADJ
easat-9249	36	9	,	,	PUNCT
easat-9249	36	10	such	such	ADJ
easat-9249	36	11	models	model	NOUN
easat-9249	36	12	can	can	AUX
easat-9249	36	13	be	be	AUX
easat-9249	36	14	used	use	VERB
easat-9249	36	15	for	for	ADP
easat-9249	36	16	any	any	DET
easat-9249	36	17	classification	classification	NOUN
easat-9249	36	18	and	and	CCONJ
easat-9249	36	19	regression	regression	NOUN
easat-9249	36	20	.	.	PUNCT
easat-9249	37	1	these	these	DET
easat-9249	37	2	models	model	NOUN
easat-9249	37	3	are	be	AUX
easat-9249	37	4	called	call	VERB
easat-9249	37	5	supervised	supervised	ADJ
easat-9249	37	6	learning	learning	NOUN
easat-9249	37	7	.	.	PUNCT
easat-9249	38	1	under	under	ADP
easat-9249	38	2	supervised	supervised	ADJ
easat-9249	38	3	learnings	learning	NOUN
easat-9249	38	4	,	,	PUNCT
easat-9249	38	5	we	we	PRON
easat-9249	38	6	have	have	VERB
easat-9249	38	7	models	model	NOUN
easat-9249	38	8	such	such	ADJ
easat-9249	38	9	as	as	ADP
easat-9249	38	10	support	support	NOUN
easat-9249	38	11	vector	vector	NOUN
easat-9249	38	12	machines	machine	NOUN
easat-9249	38	13	(	(	PUNCT
easat-9249	38	14	svm	svm	PROPN
easat-9249	38	15	)	)	PUNCT
easat-9249	38	16	,	,	PUNCT
easat-9249	38	17	random	random	ADJ
easat-9249	38	18	forest	forest	NOUN
easat-9249	38	19	(	(	PUNCT
easat-9249	38	20	rf	rf	NOUN
easat-9249	38	21	)	)	PUNCT
easat-9249	38	22	,	,	PUNCT
easat-9249	38	23	logistic	logistic	ADJ
easat-9249	38	24	regression	regression	NOUN
easat-9249	38	25	,	,	PUNCT
easat-9249	38	26	k	k	X
easat-9249	38	27	-	-	PUNCT
easat-9249	38	28	nearest	near	ADJ
easat-9249	38	29	neighbor	neighbor	NOUN
easat-9249	38	30	(	(	PUNCT
easat-9249	38	31	knn	knn	PROPN
easat-9249	38	32	)	)	PUNCT
easat-9249	38	33	,	,	PUNCT
easat-9249	38	34	neural	neural	ADJ
easat-9249	38	35	networks	network	NOUN
easat-9249	38	36	(	(	PUNCT
easat-9249	38	37	nn	nn	NOUN
easat-9249	38	38	)	)	PUNCT
easat-9249	38	39	,	,	PUNCT
easat-9249	38	40	xgboost	xgboost	X
easat-9249	38	41	(	(	PUNCT
easat-9249	38	42	xgb	xgb	PROPN
easat-9249	38	43	)	)	PUNCT
easat-9249	38	44	,	,	PUNCT
easat-9249	38	45	linear	linear	ADJ
easat-9249	38	46	regression	regression	NOUN
easat-9249	38	47	models	model	NOUN
easat-9249	38	48	(	(	PUNCT
easat-9249	38	49	lrm	lrm	PROPN
easat-9249	38	50	)	)	PUNCT
easat-9249	38	51	,	,	PUNCT
easat-9249	38	52	generalized	generalize	VERB
easat-9249	38	53	linear	linear	NOUN
easat-9249	38	54	models	model	NOUN
easat-9249	38	55	(	(	PUNCT
easat-9249	38	56	glm	glm	PROPN
easat-9249	38	57	)	)	PUNCT
easat-9249	38	58	among	among	ADP
easat-9249	38	59	others	other	NOUN
easat-9249	38	60	.	.	PUNCT
easat-9249	39	1	there	there	PRON
easat-9249	39	2	is	be	VERB
easat-9249	39	3	another	another	DET
easat-9249	39	4	group	group	NOUN
easat-9249	39	5	of	of	ADP
easat-9249	39	6	machine	machine	NOUN
easat-9249	39	7	learning	learn	VERB
easat-9249	39	8	algorithms	algorithm	NOUN
easat-9249	39	9	that	that	PRON
easat-9249	39	10	do	do	AUX
easat-9249	39	11	not	not	PART
easat-9249	39	12	need	need	VERB
easat-9249	39	13	the	the	DET
easat-9249	39	14	datasets	dataset	NOUN
easat-9249	39	15	to	to	PART
easat-9249	39	16	be	be	AUX
easat-9249	39	17	labelled	label	VERB
easat-9249	39	18	for	for	ADP
easat-9249	39	19	prediction	prediction	NOUN
easat-9249	39	20	.	.	PUNCT
easat-9249	40	1	this	this	PRON
easat-9249	40	2	is	be	AUX
easat-9249	40	3	known	know	VERB
easat-9249	40	4	as	as	ADP
easat-9249	40	5	unsupervised	unsupervised	ADJ
easat-9249	40	6	learning	learning	NOUN
easat-9249	40	7	.	.	PUNCT
easat-9249	41	1	examples	example	NOUN
easat-9249	41	2	include	include	VERB
easat-9249	41	3	principal	principal	ADJ
easat-9249	41	4	component	component	NOUN
easat-9249	41	5	analysis	analysis	NOUN
easat-9249	41	6	(	(	PUNCT
easat-9249	41	7	pca	pca	NOUN
easat-9249	41	8	)	)	PUNCT
easat-9249	41	9	,	,	PUNCT
easat-9249	41	10	kmeans	kmean	NOUN
easat-9249	41	11	,	,	PUNCT
easat-9249	41	12	hierarchical	hierarchical	ADJ
easat-9249	41	13	clustering	clustering	NOUN
easat-9249	41	14	[	[	X
easat-9249	41	15	6	6	NUM
easat-9249	41	16	]	]	PUNCT
easat-9249	41	17	.	.	PUNCT
easat-9249	42	1	these	these	DET
easat-9249	42	2	applications	application	NOUN
easat-9249	42	3	have	have	AUX
easat-9249	42	4	improved	improve	VERB
easat-9249	42	5	transport	transport	NOUN
easat-9249	42	6	systems	system	NOUN
easat-9249	42	7	,	,	PUNCT
easat-9249	42	8	healthcare	healthcare	PROPN
easat-9249	42	9	,	,	PUNCT
easat-9249	42	10	security	security	NOUN
easat-9249	42	11	,	,	PUNCT
easat-9249	42	12	and	and	CCONJ
easat-9249	42	13	defense	defense	NOUN
easat-9249	42	14	networks	network	NOUN
easat-9249	42	15	in	in	ADP
easat-9249	42	16	every	every	DET
easat-9249	42	17	area	area	NOUN
easat-9249	42	18	of	of	ADP
easat-9249	42	19	life	life	NOUN
easat-9249	42	20	.	.	PUNCT
easat-9249	43	1	the	the	DET
easat-9249	43	2	availability	availability	NOUN
easat-9249	43	3	of	of	ADP
easat-9249	43	4	these	these	DET
easat-9249	43	5	datasets	dataset	NOUN
easat-9249	43	6	and	and	CCONJ
easat-9249	43	7	supercomputers	supercomputer	NOUN
easat-9249	43	8	with	with	ADP
easat-9249	43	9	high	high	ADJ
easat-9249	43	10	computational	computational	ADJ
easat-9249	43	11	power	power	NOUN
easat-9249	43	12	and	and	CCONJ
easat-9249	43	13	speed	speed	NOUN
easat-9249	43	14	have	have	AUX
easat-9249	43	15	made	make	VERB
easat-9249	43	16	prediction	prediction	NOUN
easat-9249	43	17	accuracy	accuracy	NOUN
easat-9249	43	18	better	well	ADJ
easat-9249	43	19	and	and	CCONJ
easat-9249	43	20	faster	fast	ADV
easat-9249	43	21	with	with	ADP
easat-9249	43	22	reduced	reduced	ADJ
easat-9249	43	23	levels	level	NOUN
easat-9249	43	24	of	of	ADP
easat-9249	43	25	uncertainty	uncertainty	NOUN
easat-9249	43	26	[	[	X
easat-9249	43	27	5	5	NUM
easat-9249	43	28	]	]	PUNCT
easat-9249	43	29	.	.	PUNCT
easat-9249	44	1	in	in	ADP
easat-9249	44	2	recent	recent	ADJ
easat-9249	44	3	times	time	NOUN
easat-9249	44	4	,	,	PUNCT
easat-9249	44	5	researchers	researcher	NOUN
easat-9249	44	6	have	have	AUX
easat-9249	44	7	suggested	suggest	VERB
easat-9249	44	8	the	the	DET
easat-9249	44	9	use	use	NOUN
easat-9249	44	10	of	of	ADP
easat-9249	44	11	machine	machine	NOUN
easat-9249	44	12	learning	learn	VERB
easat-9249	44	13	algorithms	algorithm	NOUN
easat-9249	44	14	for	for	ADP
easat-9249	44	15	weather	weather	NOUN
easat-9249	44	16	prediction	prediction	NOUN
easat-9249	44	17	.	.	PUNCT
easat-9249	45	1	bochenek	bochenek	NOUN
easat-9249	45	2	and	and	CCONJ
easat-9249	45	3	ustrnul	ustrnul	VERB
easat-9249	45	4	[	[	X
easat-9249	45	5	6	6	NUM
easat-9249	45	6	]	]	PUNCT
easat-9249	45	7	reviewed	review	VERB
easat-9249	45	8	about	about	ADV
easat-9249	45	9	500	500	NUM
easat-9249	45	10	publications	publication	NOUN
easat-9249	45	11	from	from	ADP
easat-9249	45	12	2018	2018	NUM
easat-9249	45	13	to	to	PART
easat-9249	45	14	determine	determine	VERB
easat-9249	45	15	the	the	DET
easat-9249	45	16	future	future	NOUN
easat-9249	45	17	of	of	ADP
easat-9249	45	18	weather	weather	NOUN
easat-9249	45	19	and	and	CCONJ
easat-9249	45	20	climate	climate	NOUN
easat-9249	45	21	prediction	prediction	NOUN
easat-9249	45	22	and	and	CCONJ
easat-9249	45	23	concluded	conclude	VERB
easat-9249	45	24	that	that	SCONJ
easat-9249	45	25	machine	machine	NOUN
easat-9249	45	26	learning	learning	NOUN
easat-9249	45	27	models	model	NOUN
easat-9249	45	28	are	be	AUX
easat-9249	45	29	the	the	DET
easat-9249	45	30	future	future	NOUN
easat-9249	45	31	of	of	ADP
easat-9249	45	32	weather	weather	NOUN
easat-9249	45	33	forecasting	forecasting	NOUN
easat-9249	45	34	.	.	PUNCT
easat-9249	46	1	wang	wang	PROPN
easat-9249	46	2	,	,	PUNCT
easat-9249	46	3	et	et	PROPN
easat-9249	46	4	al	al	PROPN
easat-9249	46	5	.	.	PUNCT
easat-9249	47	1	[	[	X
easat-9249	47	2	7	7	X
easat-9249	47	3	]	]	PUNCT
easat-9249	47	4	also	also	ADV
easat-9249	47	5	suggested	suggest	VERB
easat-9249	47	6	the	the	DET
easat-9249	47	7	use	use	NOUN
easat-9249	47	8	of	of	ADP
easat-9249	47	9	machine	machine	NOUN
easat-9249	47	10	learning	learn	VERB
easat-9249	47	11	algorithms	algorithm	NOUN
easat-9249	47	12	for	for	ADP
easat-9249	47	13	weather	weather	NOUN
easat-9249	47	14	prediction	prediction	NOUN
easat-9249	47	15	due	due	ADP
easat-9249	47	16	to	to	ADP
easat-9249	47	17	unsatisfactory	unsatisfactory	ADJ
easat-9249	47	18	performance	performance	NOUN
easat-9249	47	19	while	while	SCONJ
easat-9249	47	20	using	use	VERB
easat-9249	47	21	numerical	numerical	ADJ
easat-9249	47	22	weather	weather	PROPN
easat-9249	47	23	prediction	prediction	NOUN
easat-9249	47	24	.	.	PUNCT
easat-9249	48	1	hewage	hewage	NOUN
easat-9249	48	2	,	,	PUNCT
easat-9249	48	3	et	et	PROPN
easat-9249	48	4	al	al	PROPN
easat-9249	48	5	.	.	PUNCT
easat-9249	49	1	[	[	X
easat-9249	49	2	8	8	NUM
easat-9249	49	3	]	]	PUNCT
easat-9249	49	4	pointed	point	VERB
easat-9249	49	5	to	to	ADP
easat-9249	49	6	the	the	DET
easat-9249	49	7	high	high	ADJ
easat-9249	49	8	computational	computational	ADJ
easat-9249	49	9	power	power	NOUN
easat-9249	49	10	and	and	CCONJ
easat-9249	49	11	complex	complex	ADJ
easat-9249	49	12	mathematical	mathematical	ADJ
easat-9249	49	13	equations	equation	NOUN
easat-9249	49	14	to	to	PART
easat-9249	49	15	solve	solve	VERB
easat-9249	49	16	as	as	ADP
easat-9249	49	17	reasons	reason	NOUN
easat-9249	49	18	to	to	PART
easat-9249	49	19	change	change	VERB
easat-9249	49	20	from	from	ADP
easat-9249	49	21	numerical	numerical	ADJ
easat-9249	49	22	weather	weather	PROPN
easat-9249	49	23	prediction	prediction	NOUN
easat-9249	49	24	to	to	ADP
easat-9249	49	25	machine	machine	NOUN
easat-9249	49	26	learning	learning	NOUN
easat-9249	49	27	models	model	NOUN
easat-9249	49	28	.	.	PUNCT
easat-9249	50	1	their	their	PRON
easat-9249	50	2	results	result	NOUN
easat-9249	50	3	showed	show	VERB
easat-9249	50	4	that	that	SCONJ
easat-9249	50	5	though	though	SCONJ
easat-9249	50	6	machine	machine	NOUN
easat-9249	50	7	learning	learning	NOUN
easat-9249	50	8	models	model	NOUN
easat-9249	50	9	were	be	AUX
easat-9249	50	10	‘	'	PUNCT
easat-9249	50	11	lightweight	lightweight	ADJ
easat-9249	50	12	datadriven	datadriven	ADJ
easat-9249	50	13	’	'	PUNCT
easat-9249	50	14	,	,	PUNCT
easat-9249	50	15	they	they	PRON
easat-9249	50	16	performed	perform	VERB
easat-9249	50	17	better	well	ADV
easat-9249	50	18	than	than	ADP
easat-9249	50	19	the	the	DET
easat-9249	50	20	numerical	numerical	ADJ
easat-9249	50	21	models	model	NOUN
easat-9249	50	22	.	.	PUNCT
easat-9249	51	1	in	in	ADP
easat-9249	51	2	south	south	PROPN
easat-9249	51	3	africa	africa	PROPN
easat-9249	51	4	,	,	PUNCT
easat-9249	51	5	numerical	numerical	PROPN
easat-9249	51	6	weather	weather	NOUN
easat-9249	51	7	models	model	NOUN
easat-9249	51	8	are	be	AUX
easat-9249	51	9	still	still	ADV
easat-9249	51	10	being	be	AUX
easat-9249	51	11	used	use	VERB
easat-9249	51	12	for	for	ADP
easat-9249	51	13	prediction	prediction	NOUN
easat-9249	51	14	[	[	X
easat-9249	51	15	9	9	NUM
easat-9249	51	16	,	,	PUNCT
easat-9249	51	17	10	10	NUM
easat-9249	51	18	]	]	PUNCT
easat-9249	51	19	.	.	PUNCT
easat-9249	52	1	south	south	ADJ
easat-9249	52	2	african	african	ADJ
easat-9249	52	3	weather	weather	PROPN
easat-9249	52	4	service	service	NOUN
easat-9249	52	5	uses	use	VERB
easat-9249	52	6	the	the	DET
easat-9249	52	7	unified	unified	ADJ
easat-9249	52	8	model	model	NOUN
easat-9249	52	9	of	of	ADP
easat-9249	52	10	the	the	DET
easat-9249	52	11	united	united	PROPN
easat-9249	52	12	kingdom	kingdom	PROPN
easat-9249	52	13	met	meet	VERB
easat-9249	52	14	office	office	NOUN
easat-9249	52	15	,	,	PUNCT
easat-9249	52	16	which	which	PRON
easat-9249	52	17	is	be	AUX
easat-9249	52	18	also	also	ADV
easat-9249	52	19	used	use	VERB
easat-9249	52	20	in	in	ADP
easat-9249	52	21	other	other	ADJ
easat-9249	52	22	southern	southern	ADJ
easat-9249	52	23	african	african	ADJ
easat-9249	52	24	countries	country	NOUN
easat-9249	52	25	[	[	X
easat-9249	52	26	11	11	NUM
easat-9249	52	27	]	]	PUNCT
easat-9249	52	28	.	.	PUNCT
easat-9249	53	1	the	the	DET
easat-9249	53	2	forecasts	forecast	NOUN
easat-9249	53	3	are	be	AUX
easat-9249	53	4	made	make	VERB
easat-9249	53	5	using	use	VERB
easat-9249	53	6	the	the	DET
easat-9249	53	7	south	south	ADJ
easat-9249	53	8	african	african	ADJ
easat-9249	53	9	weather	weather	NOUN
easat-9249	53	10	service	service	NOUN
easat-9249	53	11	cray	cray	NOUN
easat-9249	53	12	xc30	xc30	PROPN
easat-9249	53	13	,	,	PUNCT
easat-9249	53	14	a	a	DET
easat-9249	53	15	high	high	ADV
easat-9249	53	16	-	-	PUNCT
easat-9249	53	17	performing	perform	VERB
easat-9249	53	18	computing	computing	NOUN
easat-9249	53	19	system	system	NOUN
easat-9249	53	20	.	.	PUNCT
easat-9249	54	1	using	use	VERB
easat-9249	54	2	a	a	DET
easat-9249	54	3	grid	grid	NOUN
easat-9249	54	4	spacing	spacing	NOUN
easat-9249	54	5	of	of	ADP
easat-9249	54	6	4.4	4.4	NUM
easat-9249	54	7	km	km	NOUN
easat-9249	54	8	,	,	PUNCT
easat-9249	54	9	the	the	DET
easat-9249	54	10	united	united	PROPN
easat-9249	54	11	model	model	PROPN
easat-9249	54	12	can	can	AUX
easat-9249	54	13	forecast	forecast	VERB
easat-9249	54	14	up	up	ADP
easat-9249	54	15	to	to	PART
easat-9249	54	16	3	3	NUM
easat-9249	54	17	days	day	NOUN
easat-9249	54	18	.	.	PUNCT
easat-9249	55	1	if	if	SCONJ
easat-9249	55	2	the	the	DET
easat-9249	55	3	grid	grid	NOUN
easat-9249	55	4	spacing	spacing	NOUN
easat-9249	55	5	is	be	AUX
easat-9249	55	6	expanded	expand	VERB
easat-9249	55	7	to	to	ADP
easat-9249	55	8	16	16	NUM
easat-9249	55	9	km	km	NOUN
easat-9249	55	10	,	,	PUNCT
easat-9249	55	11	the	the	DET
easat-9249	55	12	forecast	forecast	NOUN
easat-9249	55	13	can	can	AUX
easat-9249	55	14	be	be	AUX
easat-9249	55	15	made	make	VERB
easat-9249	55	16	up	up	ADP
easat-9249	55	17	to	to	PART
easat-9249	55	18	10	10	NUM
easat-9249	55	19	days	day	NOUN
easat-9249	55	20	[	[	X
easat-9249	55	21	11	11	NUM
easat-9249	55	22	]	]	PUNCT
easat-9249	55	23	.	.	PUNCT
easat-9249	56	1	this	this	PRON
easat-9249	56	2	shows	show	VERB
easat-9249	56	3	the	the	DET
easat-9249	56	4	limitation	limitation	NOUN
easat-9249	56	5	of	of	ADP
easat-9249	56	6	the	the	DET
easat-9249	56	7	numerical	numerical	ADJ
easat-9249	56	8	method	method	NOUN
easat-9249	56	9	for	for	ADP
easat-9249	56	10	rainfall	rainfall	NOUN
easat-9249	56	11	and	and	CCONJ
easat-9249	56	12	weather	weather	NOUN
easat-9249	56	13	prediction	prediction	NOUN
easat-9249	56	14	,	,	PUNCT
easat-9249	56	15	as	as	SCONJ
easat-9249	56	16	it	it	PRON
easat-9249	56	17	can	can	AUX
easat-9249	56	18	not	not	PART
easat-9249	56	19	predict	predict	VERB
easat-9249	56	20	beyond	beyond	ADP
easat-9249	56	21	ten	ten	NUM
easat-9249	56	22	days	day	NOUN
easat-9249	56	23	at	at	ADV
easat-9249	56	24	most	most	ADV
easat-9249	56	25	.	.	PUNCT
easat-9249	57	1	with	with	ADP
easat-9249	57	2	the	the	DET
easat-9249	57	3	success	success	NOUN
easat-9249	57	4	of	of	ADP
easat-9249	57	5	machine	machine	NOUN
easat-9249	57	6	learning	learning	NOUN
easat-9249	57	7	models	model	NOUN
easat-9249	57	8	in	in	ADP
easat-9249	57	9	rainfall	rainfall	NOUN
easat-9249	57	10	prediction	prediction	NOUN
easat-9249	57	11	worldwide	worldwide	ADV
easat-9249	57	12	,	,	PUNCT
easat-9249	57	13	this	this	DET
easat-9249	57	14	work	work	NOUN
easat-9249	57	15	seeks	seek	VERB
easat-9249	57	16	to	to	PART
easat-9249	57	17	explore	explore	VERB
easat-9249	57	18	different	different	ADJ
easat-9249	57	19	models	model	NOUN
easat-9249	57	20	for	for	ADP
easat-9249	57	21	a	a	DET
easat-9249	57	22	long	long	ADJ
easat-9249	57	23	-	-	PUNCT
easat-9249	57	24	term	term	NOUN
easat-9249	57	25	(	(	PUNCT
easat-9249	57	26	1	1	NUM
easat-9249	57	27	-	-	PUNCT
easat-9249	57	28	year	year	NOUN
easat-9249	57	29	)	)	PUNCT
easat-9249	57	30	forecast	forecast	NOUN
easat-9249	57	31	.	.	PUNCT
easat-9249	58	1	despite	despite	SCONJ
easat-9249	58	2	south	south	PROPN
easat-9249	58	3	africa	africa	PROPN
easat-9249	58	4	being	be	AUX
easat-9249	58	5	bounded	bound	VERB
easat-9249	58	6	by	by	ADP
easat-9249	58	7	the	the	DET
easat-9249	58	8	atlantic	atlantic	PROPN
easat-9249	58	9	and	and	CCONJ
easat-9249	58	10	indian	indian	ADJ
easat-9249	58	11	oceans	ocean	NOUN
easat-9249	58	12	,	,	PUNCT
easat-9249	58	13	it	it	PRON
easat-9249	58	14	is	be	AUX
easat-9249	58	15	susceptible	susceptible	ADJ
easat-9249	58	16	to	to	ADP
easat-9249	58	17	drought	drought	NOUN
easat-9249	59	1	[	[	X
easat-9249	59	2	12	12	NUM
easat-9249	59	3	]	]	PUNCT
easat-9249	59	4	.	.	PUNCT
easat-9249	60	1	extreme	extreme	ADJ
easat-9249	60	2	droughts	drought	NOUN
easat-9249	60	3	that	that	PRON
easat-9249	60	4	last	last	ADJ
easat-9249	60	5	for	for	ADP
easat-9249	60	6	years	year	NOUN
easat-9249	60	7	are	be	AUX
easat-9249	60	8	mostly	mostly	ADV
easat-9249	60	9	caused	cause	VERB
easat-9249	60	10	by	by	ADP
easat-9249	60	11	el	el	PROPN
easat-9249	60	12	nino	nino	PROPN
easat-9249	60	13	southern	southern	PROPN
easat-9249	60	14	oscillation	oscillation	NOUN
easat-9249	60	15	(	(	PUNCT
easat-9249	60	16	enso	enso	PROPN
easat-9249	60	17	)	)	PUNCT
easat-9249	60	18	,	,	PUNCT
easat-9249	60	19	a	a	DET
easat-9249	60	20	quasi	quasi	ADJ
easat-9249	60	21	-	-	ADJ
easat-9249	60	22	periodic	periodic	ADJ
easat-9249	60	23	invasion	invasion	NOUN
easat-9249	60	24	of	of	ADP
easat-9249	60	25	war	war	NOUN
easat-9249	60	26	sea	sea	NOUN
easat-9249	60	27	surface	surface	NOUN
easat-9249	60	28	waters	water	NOUN
easat-9249	60	29	into	into	ADP
easat-9249	60	30	the	the	DET
easat-9249	60	31	pacific	pacific	PROPN
easat-9249	60	32	ocean	ocean	PROPN
easat-9249	60	33	.	.	PUNCT
easat-9249	61	1	south	south	PROPN
easat-9249	61	2	africa	africa	PROPN
easat-9249	61	3	experienced	experience	VERB
easat-9249	61	4	drought	drought	NOUN
easat-9249	61	5	in	in	ADP
easat-9249	61	6	2015	2015	NUM
easat-9249	61	7	and	and	CCONJ
easat-9249	61	8	2016	2016	NUM
easat-9249	61	9	due	due	ADP
easat-9249	61	10	to	to	ADP
easat-9249	61	11	an	an	DET
easat-9249	61	12	intense	intense	ADJ
easat-9249	61	13	el	el	PROPN
easat-9249	61	14	nino	nino	PROPN
easat-9249	61	15	event	event	NOUN
easat-9249	61	16	[	[	X
easat-9249	61	17	13	13	NUM
easat-9249	61	18	]	]	PUNCT
easat-9249	61	19	.	.	PUNCT
easat-9249	62	1	this	this	PRON
easat-9249	62	2	resulted	result	VERB
easat-9249	62	3	in	in	ADP
easat-9249	62	4	reduced	reduced	ADJ
easat-9249	62	5	agricultural	agricultural	ADJ
easat-9249	62	6	productivity	productivity	NOUN
easat-9249	62	7	,	,	PUNCT
easat-9249	62	8	leading	lead	VERB
easat-9249	62	9	to	to	ADP
easat-9249	62	10	importing	import	VERB
easat-9249	62	11	grains	grain	NOUN
easat-9249	62	12	instead	instead	ADV
easat-9249	62	13	of	of	ADP
easat-9249	62	14	exports	export	NOUN
easat-9249	62	15	,	,	PUNCT
easat-9249	62	16	water	water	NOUN
easat-9249	62	17	shortages	shortage	NOUN
easat-9249	62	18	,	,	PUNCT
easat-9249	62	19	and	and	CCONJ
easat-9249	62	20	a	a	DET
easat-9249	62	21	significant	significant	ADJ
easat-9249	62	22	negative	negative	ADJ
easat-9249	62	23	economic	economic	ADJ
easat-9249	62	24	impact	impact	NOUN
easat-9249	62	25	.	.	PUNCT
easat-9249	63	1	this	this	DET
easat-9249	63	2	drought	drought	NOUN
easat-9249	63	3	was	be	AUX
easat-9249	63	4	the	the	DET
easat-9249	63	5	worst	bad	ADJ
easat-9249	63	6	in	in	ADP
easat-9249	63	7	23	23	NUM
easat-9249	63	8	years	year	NOUN
easat-9249	63	9	,	,	PUNCT
easat-9249	63	10	from	from	ADP
easat-9249	63	11	1992	1992	NUM
easat-9249	63	12	to	to	ADP
easat-9249	63	13	1995	1995	NUM
easat-9249	63	14	.	.	PUNCT
easat-9249	64	1	drought	drought	NOUN
easat-9249	64	2	leads	lead	VERB
easat-9249	64	3	to	to	ADP
easat-9249	64	4	reduced	reduced	ADJ
easat-9249	64	5	crop	crop	NOUN
easat-9249	64	6	yields	yield	NOUN
easat-9249	64	7	and	and	CCONJ
easat-9249	64	8	animal	animal	NOUN
easat-9249	64	9	productivity	productivity	NOUN
easat-9249	64	10	,	,	PUNCT
easat-9249	64	11	and	and	CCONJ
easat-9249	64	12	it	it	PRON
easat-9249	64	13	is	be	AUX
easat-9249	64	14	expected	expect	VERB
easat-9249	64	15	that	that	SCONJ
easat-9249	64	16	the	the	DET
easat-9249	64	17	frequency	frequency	NOUN
easat-9249	64	18	,	,	PUNCT
easat-9249	64	19	intensity	intensity	NOUN
easat-9249	64	20	,	,	PUNCT
easat-9249	64	21	and	and	CCONJ
easat-9249	64	22	duration	duration	NOUN
easat-9249	64	23	of	of	ADP
easat-9249	64	24	droughts	drought	NOUN
easat-9249	64	25	will	will	AUX
easat-9249	64	26	increase	increase	VERB
easat-9249	64	27	due	due	ADJ
easat-9249	64	28	to	to	ADP
easat-9249	64	29	climate	climate	NOUN
easat-9249	64	30	change	change	NOUN
easat-9249	64	31	and	and	CCONJ
easat-9249	64	32	anthropogenic	anthropogenic	ADJ
easat-9249	64	33	activities	activity	NOUN
easat-9249	64	34	,	,	PUNCT
easat-9249	64	35	affecting	affect	VERB
easat-9249	64	36	livelihood	livelihood	NOUN
easat-9249	65	1	[	[	X
easat-9249	65	2	14	14	NUM
easat-9249	65	3	]	]	PUNCT
easat-9249	65	4	.	.	PUNCT
easat-9249	66	1	in	in	ADP
easat-9249	66	2	2015	2015	NUM
easat-9249	66	3	,	,	PUNCT
easat-9249	66	4	the	the	DET
easat-9249	66	5	economic	economic	ADJ
easat-9249	66	6	damage	damage	NOUN
easat-9249	66	7	attributed	attribute	VERB
easat-9249	66	8	to	to	ADP
easat-9249	66	9	drought	drought	NOUN
easat-9249	66	10	in	in	ADP
easat-9249	66	11	africa	africa	PROPN
easat-9249	66	12	was	be	AUX
easat-9249	66	13	estimated	estimate	VERB
easat-9249	66	14	to	to	PART
easat-9249	66	15	be	be	AUX
easat-9249	66	16	about	about	ADP
easat-9249	66	17	us	we	PRON
easat-9249	66	18	$	$	SYM
easat-9249	66	19	2.4	2.4	NUM
easat-9249	66	20	billion	billion	NUM
easat-9249	66	21	,	,	PUNCT
easat-9249	66	22	and	and	CCONJ
easat-9249	66	23	us$	us$	SYM
easat-9249	66	24	354	354	NUM
easat-9249	66	25	million	million	NUM
easat-9249	66	26	in	in	ADP
easat-9249	66	27	the	the	DET
easat-9249	66	28	southern	southern	ADJ
easat-9249	66	29	african	african	ADJ
easat-9249	66	30	region	region	NOUN
easat-9249	66	31	affected	affect	VERB
easat-9249	66	32	about	about	ADV
easat-9249	66	33	3.2	3.2	NUM
easat-9249	66	34	million	million	NUM
easat-9249	66	35	people	people	NOUN
easat-9249	66	36	.	.	PUNCT
easat-9249	67	1	in	in	ADP
easat-9249	67	2	south	south	PROPN
easat-9249	67	3	africa	africa	PROPN
easat-9249	67	4	,	,	PUNCT
easat-9249	67	5	the	the	DET
easat-9249	67	6	damage	damage	NOUN
easat-9249	67	7	was	be	AUX
easat-9249	67	8	about	about	ADP
easat-9249	67	9	us	we	PRON
easat-9249	67	10	$	$	SYM
easat-9249	67	11	250	250	NUM
easat-9249	67	12	million	million	NUM
easat-9249	67	13	,	,	PUNCT
easat-9249	67	14	with	with	ADP
easat-9249	67	15	2.7	2.7	NUM
easat-9249	67	16	million	million	NUM
easat-9249	67	17	people	people	NOUN
easat-9249	67	18	affected	affect	VERB
easat-9249	67	19	,	,	PUNCT
easat-9249	67	20	resulting	result	VERB
easat-9249	67	21	in	in	ADP
easat-9249	67	22	an	an	DET
easat-9249	67	23	8.4	8.4	NUM
easat-9249	67	24	%	%	NOUN
easat-9249	67	25	reduction	reduction	NOUN
easat-9249	67	26	in	in	ADP
easat-9249	67	27	agricultural	agricultural	ADJ
easat-9249	67	28	production	production	NOUN
easat-9249	67	29	and	and	CCONJ
easat-9249	67	30	a	a	DET
easat-9249	67	31	15	15	NUM
easat-9249	67	32	%	%	NOUN
easat-9249	67	33	reduction	reduction	NOUN
easat-9249	67	34	in	in	ADP
easat-9249	67	35	livestock	livestock	NOUN
easat-9249	67	36	.	.	PUNCT
easat-9249	68	1	accurate	accurate	ADJ
easat-9249	68	2	rainfall	rainfall	NOUN
easat-9249	68	3	prediction	prediction	NOUN
easat-9249	68	4	might	might	AUX
easat-9249	68	5	have	have	AUX
easat-9249	68	6	reduced	reduce	VERB
easat-9249	68	7	the	the	DET
easat-9249	68	8	advance	advance	NOUN
easat-9249	68	9	effect	effect	NOUN
easat-9249	68	10	caused	cause	VERB
easat-9249	68	11	by	by	ADP
easat-9249	68	12	the	the	DET
easat-9249	68	13	drought	drought	NOUN
easat-9249	68	14	as	as	ADP
easat-9249	68	15	farmers	farmer	NOUN
easat-9249	68	16	and	and	CCONJ
easat-9249	68	17	the	the	DET
easat-9249	68	18	government	government	NOUN
easat-9249	68	19	would	would	AUX
easat-9249	68	20	have	have	AUX
easat-9249	68	21	been	be	AUX
easat-9249	68	22	better	well	ADV
easat-9249	68	23	prepared	prepare	VERB
easat-9249	68	24	instead	instead	ADV
easat-9249	68	25	of	of	ADP
easat-9249	68	26	spending	spend	VERB
easat-9249	68	27	almost	almost	ADV
easat-9249	68	28	a	a	DET
easat-9249	68	29	billion	billion	NUM
easat-9249	68	30	rand	rand	NOUN
easat-9249	68	31	on	on	ADP
easat-9249	68	32	relief	relief	NOUN
easat-9249	68	33	and	and	CCONJ
easat-9249	68	34	support	support	NOUN
easat-9249	68	35	for	for	ADP
easat-9249	68	36	farmers	farmer	NOUN
easat-9249	68	37	.	.	PUNCT
easat-9249	69	1	however	however	ADV
easat-9249	69	2	,	,	PUNCT
easat-9249	69	3	150	150	NUM
easat-9249	69	4	edelweiss	edelweiss	PROPN
easat-9249	69	5	applied	apply	VERB
easat-9249	69	6	science	science	NOUN
easat-9249	69	7	and	and	CCONJ
easat-9249	69	8	technology	technology	NOUN
easat-9249	69	9	issn	issn	PROPN
easat-9249	69	10	:	:	PUNCT
easat-9249	69	11	2576	2576	NUM
easat-9249	69	12	-	-	SYM
easat-9249	69	13	8484	8484	NUM
easat-9249	69	14	vol	vol	NOUN
easat-9249	69	15	.	.	PROPN
easat-9249	70	1	9	9	NUM
easat-9249	70	2	,	,	PUNCT
easat-9249	70	3	no	no	INTJ
easat-9249	70	4	.	.	NOUN
easat-9249	70	5	8	8	NUM
easat-9249	70	6	:	:	SYM
easat-9249	70	7	148	148	NUM
easat-9249	70	8	-	-	SYM
easat-9249	70	9	178	178	NUM
easat-9249	70	10	,	,	PUNCT
easat-9249	70	11	2025	2025	NUM
easat-9249	70	12	doi	doi	NOUN
easat-9249	70	13	:	:	PUNCT
easat-9249	70	14	10.55214/2576	10.55214/2576	NUM
easat-9249	70	15	-	-	SYM
easat-9249	70	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	70	17	©	©	ADP
easat-9249	70	18	2025	2025	NUM
easat-9249	70	19	by	by	ADP
easat-9249	70	20	the	the	DET
easat-9249	70	21	authors	author	NOUN
easat-9249	70	22	;	;	PUNCT
easat-9249	70	23	licensee	licensee	PROPN
easat-9249	70	24	learning	learning	NOUN
easat-9249	70	25	gate	gate	NOUN
easat-9249	70	26	due	due	ADP
easat-9249	70	27	to	to	ADP
easat-9249	70	28	global	global	ADJ
easat-9249	70	29	warming	warming	NOUN
easat-9249	70	30	and	and	CCONJ
easat-9249	70	31	climate	climate	NOUN
easat-9249	70	32	change	change	NOUN
easat-9249	70	33	,	,	PUNCT
easat-9249	70	34	it	it	PRON
easat-9249	70	35	is	be	AUX
easat-9249	70	36	becoming	become	VERB
easat-9249	70	37	increasingly	increasingly	ADV
easat-9249	70	38	difficult	difficult	ADJ
easat-9249	70	39	to	to	PART
easat-9249	70	40	accurately	accurately	ADV
easat-9249	70	41	predict	predict	VERB
easat-9249	70	42	rainfall	rainfall	NOUN
easat-9249	70	43	as	as	SCONJ
easat-9249	70	44	it	it	PRON
easat-9249	70	45	depends	depend	VERB
easat-9249	70	46	on	on	ADP
easat-9249	70	47	several	several	ADJ
easat-9249	70	48	physical	physical	ADJ
easat-9249	70	49	factors	factor	NOUN
easat-9249	70	50	of	of	ADP
easat-9249	70	51	the	the	DET
easat-9249	70	52	hydrological	hydrological	ADJ
easat-9249	70	53	cycle	cycle	NOUN
easat-9249	70	54	.	.	PUNCT
easat-9249	71	1	the	the	DET
easat-9249	71	2	results	result	NOUN
easat-9249	71	3	of	of	ADP
easat-9249	71	4	accurate	accurate	ADJ
easat-9249	71	5	rainfall	rainfall	NOUN
easat-9249	71	6	prediction	prediction	NOUN
easat-9249	71	7	can	can	AUX
easat-9249	71	8	be	be	AUX
easat-9249	71	9	applied	apply	VERB
easat-9249	71	10	to	to	ADP
easat-9249	71	11	various	various	ADJ
easat-9249	71	12	aspects	aspect	NOUN
easat-9249	71	13	and	and	CCONJ
easat-9249	71	14	sectors	sector	NOUN
easat-9249	71	15	such	such	ADJ
easat-9249	71	16	as	as	ADP
easat-9249	71	17	water	water	NOUN
easat-9249	71	18	management	management	NOUN
easat-9249	71	19	planning	planning	NOUN
easat-9249	71	20	,	,	PUNCT
easat-9249	71	21	mitigating	mitigate	VERB
easat-9249	71	22	natural	natural	ADJ
easat-9249	71	23	disaster	disaster	NOUN
easat-9249	71	24	and	and	CCONJ
easat-9249	71	25	early	early	ADJ
easat-9249	71	26	warning	warning	NOUN
easat-9249	71	27	systems	system	NOUN
easat-9249	71	28	,	,	PUNCT
easat-9249	71	29	water	water	NOUN
easat-9249	71	30	allocation	allocation	NOUN
easat-9249	71	31	for	for	ADP
easat-9249	71	32	agricultural	agricultural	ADJ
easat-9249	71	33	purposes	purpose	NOUN
easat-9249	71	34	,	,	PUNCT
easat-9249	71	35	water	water	NOUN
easat-9249	71	36	storage	storage	NOUN
easat-9249	71	37	in	in	ADP
easat-9249	71	38	dams	dam	NOUN
easat-9249	71	39	for	for	ADP
easat-9249	71	40	hydroelectricity	hydroelectricity	NOUN
easat-9249	71	41	,	,	PUNCT
easat-9249	71	42	monitoring	monitoring	NOUN
easat-9249	71	43	of	of	ADP
easat-9249	71	44	droughts	drought	NOUN
easat-9249	71	45	,	,	PUNCT
easat-9249	71	46	inflow	inflow	NOUN
easat-9249	71	47	and	and	CCONJ
easat-9249	71	48	outflow	outflow	NOUN
easat-9249	71	49	of	of	ADP
easat-9249	71	50	water	water	NOUN
easat-9249	71	51	in	in	ADP
easat-9249	71	52	dams	dam	NOUN
easat-9249	71	53	and	and	CCONJ
easat-9249	71	54	reservoirs	reservoir	NOUN
easat-9249	71	55	among	among	ADP
easat-9249	71	56	others	other	NOUN
easat-9249	71	57	.	.	PUNCT
easat-9249	72	1	with	with	ADP
easat-9249	72	2	adequate	adequate	ADJ
easat-9249	72	3	information	information	NOUN
easat-9249	72	4	on	on	ADP
easat-9249	72	5	the	the	DET
easat-9249	72	6	amount	amount	NOUN
easat-9249	72	7	of	of	ADP
easat-9249	72	8	water	water	NOUN
easat-9249	72	9	in	in	ADP
easat-9249	72	10	a	a	DET
easat-9249	72	11	region	region	NOUN
easat-9249	72	12	,	,	PUNCT
easat-9249	72	13	it	it	PRON
easat-9249	72	14	will	will	AUX
easat-9249	72	15	be	be	AUX
easat-9249	72	16	challenging	challenge	VERB
easat-9249	72	17	to	to	PART
easat-9249	72	18	maximise	maximise	VERB
easat-9249	72	19	water	water	NOUN
easat-9249	72	20	usage	usage	NOUN
easat-9249	72	21	.	.	PUNCT
easat-9249	73	1	therefore	therefore	ADV
easat-9249	73	2	,	,	PUNCT
easat-9249	73	3	this	this	DET
easat-9249	73	4	work	work	NOUN
easat-9249	73	5	is	be	AUX
easat-9249	73	6	expected	expect	VERB
easat-9249	73	7	to	to	PART
easat-9249	73	8	reveal	reveal	VERB
easat-9249	73	9	the	the	DET
easat-9249	73	10	potential	potential	NOUN
easat-9249	73	11	of	of	ADP
easat-9249	73	12	machine	machine	NOUN
easat-9249	73	13	learning	learn	VERB
easat-9249	73	14	algorithms	algorithm	NOUN
easat-9249	73	15	for	for	ADP
easat-9249	73	16	weather	weather	NOUN
easat-9249	73	17	prediction	prediction	NOUN
easat-9249	73	18	in	in	ADP
easat-9249	73	19	south	south	PROPN
easat-9249	73	20	africa	africa	PROPN
easat-9249	73	21	.	.	PUNCT
easat-9249	74	1	it	it	PRON
easat-9249	74	2	will	will	AUX
easat-9249	74	3	also	also	ADV
easat-9249	74	4	show	show	VERB
easat-9249	74	5	which	which	DET
easat-9249	74	6	model	model	NOUN
easat-9249	74	7	is	be	AUX
easat-9249	74	8	best	well	ADV
easat-9249	74	9	suited	suit	VERB
easat-9249	74	10	for	for	ADP
easat-9249	74	11	the	the	DET
easat-9249	74	12	various	various	ADJ
easat-9249	74	13	provinces	province	NOUN
easat-9249	74	14	.	.	PUNCT
easat-9249	75	1	this	this	DET
easat-9249	75	2	work	work	NOUN
easat-9249	75	3	is	be	AUX
easat-9249	75	4	expected	expect	VERB
easat-9249	75	5	to	to	PART
easat-9249	75	6	build	build	VERB
easat-9249	75	7	a	a	DET
easat-9249	75	8	foundation	foundation	NOUN
easat-9249	75	9	for	for	ADP
easat-9249	75	10	exploring	explore	VERB
easat-9249	75	11	machine	machine	NOUN
easat-9249	75	12	learning	learning	NOUN
easat-9249	75	13	models	model	NOUN
easat-9249	75	14	for	for	ADP
easat-9249	75	15	weather	weather	NOUN
easat-9249	75	16	prediction	prediction	NOUN
easat-9249	75	17	in	in	ADP
easat-9249	75	18	southern	southern	PROPN
easat-9249	75	19	africa	africa	PROPN
easat-9249	75	20	.	.	PUNCT
easat-9249	76	1	2	2	X
easat-9249	76	2	.	.	X
easat-9249	76	3	methodology	methodology	NOUN
easat-9249	76	4	the	the	DET
easat-9249	76	5	locations	location	NOUN
easat-9249	76	6	chosen	choose	VERB
easat-9249	76	7	for	for	ADP
easat-9249	76	8	this	this	DET
easat-9249	76	9	study	study	NOUN
easat-9249	76	10	were	be	AUX
easat-9249	76	11	selected	select	VERB
easat-9249	76	12	based	base	VERB
easat-9249	76	13	on	on	ADP
easat-9249	76	14	two	two	NUM
easat-9249	76	15	criteria	criterion	NOUN
easat-9249	76	16	.	.	PUNCT
easat-9249	77	1	they	they	PRON
easat-9249	77	2	were	be	AUX
easat-9249	77	3	chosen	choose	VERB
easat-9249	77	4	using	use	VERB
easat-9249	77	5	the	the	DET
easat-9249	77	6	different	different	ADJ
easat-9249	77	7	climatic	climatic	ADJ
easat-9249	77	8	zones	zone	NOUN
easat-9249	77	9	under	under	ADP
easat-9249	77	10	the	the	DET
easat-9249	77	11	arid	arid	NOUN
easat-9249	77	12	climate	climate	NOUN
easat-9249	77	13	classification	classification	NOUN
easat-9249	77	14	.	.	PUNCT
easat-9249	78	1	cities	city	NOUN
easat-9249	78	2	in	in	ADP
easat-9249	78	3	different	different	ADJ
easat-9249	78	4	regions	region	NOUN
easat-9249	78	5	of	of	ADP
easat-9249	78	6	south	south	PROPN
easat-9249	78	7	africa	africa	PROPN
easat-9249	78	8	(	(	PUNCT
easat-9249	78	9	four	four	NUM
easat-9249	78	10	cities	city	NOUN
easat-9249	78	11	in	in	ADP
easat-9249	78	12	free	free	ADJ
easat-9249	78	13	state	state	NOUN
easat-9249	78	14	province	province	NOUN
easat-9249	78	15	,	,	PUNCT
easat-9249	78	16	four	four	NUM
easat-9249	78	17	cities	city	NOUN
easat-9249	78	18	in	in	ADP
easat-9249	78	19	northern	northern	ADJ
easat-9249	78	20	cape	cape	NOUN
easat-9249	78	21	province	province	NOUN
easat-9249	78	22	,	,	PUNCT
easat-9249	78	23	and	and	CCONJ
easat-9249	78	24	one	one	NUM
easat-9249	78	25	city	city	NOUN
easat-9249	78	26	each	each	PRON
easat-9249	78	27	in	in	ADP
easat-9249	78	28	western	western	ADJ
easat-9249	78	29	cape	cape	NOUN
easat-9249	78	30	province	province	NOUN
easat-9249	78	31	,	,	PUNCT
easat-9249	78	32	limpopo	limpopo	PROPN
easat-9249	78	33	province	province	PROPN
easat-9249	78	34	,	,	PUNCT
easat-9249	78	35	eastern	eastern	ADJ
easat-9249	78	36	cape	cape	NOUN
easat-9249	78	37	province	province	NOUN
easat-9249	78	38	,	,	PUNCT
easat-9249	78	39	and	and	CCONJ
easat-9249	78	40	northwest	northwest	PROPN
easat-9249	78	41	province	province	NOUN
easat-9249	78	42	)	)	PUNCT
easat-9249	78	43	were	be	AUX
easat-9249	78	44	also	also	ADV
easat-9249	78	45	chosen	choose	VERB
easat-9249	78	46	.	.	PUNCT
easat-9249	79	1	the	the	DET
easat-9249	79	2	purpose	purpose	NOUN
easat-9249	79	3	of	of	ADP
easat-9249	79	4	these	these	DET
easat-9249	79	5	criteria	criterion	NOUN
easat-9249	79	6	is	be	AUX
easat-9249	79	7	to	to	PART
easat-9249	79	8	ensure	ensure	VERB
easat-9249	79	9	that	that	SCONJ
easat-9249	79	10	there	there	PRON
easat-9249	79	11	is	be	VERB
easat-9249	79	12	no	no	DET
easat-9249	79	13	model	model	NOUN
easat-9249	79	14	bias	bias	NOUN
easat-9249	79	15	regarding	regard	VERB
easat-9249	79	16	climate	climate	NOUN
easat-9249	79	17	or	or	CCONJ
easat-9249	79	18	region	region	NOUN
easat-9249	79	19	.	.	PUNCT
easat-9249	80	1	therefore	therefore	ADV
easat-9249	80	2	,	,	PUNCT
easat-9249	80	3	some	some	DET
easat-9249	80	4	cities	city	NOUN
easat-9249	80	5	were	be	AUX
easat-9249	80	6	selected	select	VERB
easat-9249	80	7	with	with	ADP
easat-9249	80	8	the	the	DET
easat-9249	80	9	same	same	ADJ
easat-9249	80	10	climatic	climatic	ADJ
easat-9249	80	11	conditions	condition	NOUN
easat-9249	80	12	but	but	CCONJ
easat-9249	80	13	in	in	ADP
easat-9249	80	14	different	different	ADJ
easat-9249	80	15	regions	region	NOUN
easat-9249	80	16	.	.	PUNCT
easat-9249	81	1	this	this	PRON
easat-9249	81	2	will	will	AUX
easat-9249	81	3	also	also	ADV
easat-9249	81	4	assist	assist	VERB
easat-9249	81	5	in	in	ADP
easat-9249	81	6	determining	determine	VERB
easat-9249	81	7	whether	whether	SCONJ
easat-9249	81	8	some	some	DET
easat-9249	81	9	models	model	NOUN
easat-9249	81	10	perform	perform	VERB
easat-9249	81	11	better	well	ADV
easat-9249	81	12	under	under	ADP
easat-9249	81	13	certain	certain	ADJ
easat-9249	81	14	climatic	climatic	ADJ
easat-9249	81	15	conditions	condition	NOUN
easat-9249	81	16	or	or	CCONJ
easat-9249	81	17	if	if	SCONJ
easat-9249	81	18	some	some	DET
easat-9249	81	19	regions	region	NOUN
easat-9249	81	20	are	be	AUX
easat-9249	81	21	more	more	ADV
easat-9249	81	22	accessible	accessible	ADJ
easat-9249	81	23	to	to	PART
easat-9249	81	24	predict	predict	VERB
easat-9249	81	25	.	.	PUNCT
easat-9249	82	1	if	if	SCONJ
easat-9249	82	2	the	the	DET
easat-9249	82	3	models	model	NOUN
easat-9249	82	4	perform	perform	VERB
easat-9249	82	5	well	well	ADV
easat-9249	82	6	across	across	ADP
easat-9249	82	7	all	all	DET
easat-9249	82	8	climatic	climatic	ADJ
easat-9249	82	9	regions	region	NOUN
easat-9249	82	10	,	,	PUNCT
easat-9249	82	11	the	the	DET
easat-9249	82	12	models	model	NOUN
easat-9249	82	13	can	can	AUX
easat-9249	82	14	be	be	AUX
easat-9249	82	15	generalized	generalize	VERB
easat-9249	82	16	.	.	PUNCT
easat-9249	83	1	40	40	NUM
easat-9249	83	2	-	-	PUNCT
easat-9249	83	3	year	year	NOUN
easat-9249	83	4	continuous	continuous	ADJ
easat-9249	83	5	datasets	dataset	NOUN
easat-9249	83	6	obtained	obtain	VERB
easat-9249	83	7	from	from	ADP
easat-9249	83	8	the	the	DET
easat-9249	83	9	national	national	ADJ
easat-9249	83	10	aeronautics	aeronautics	PROPN
easat-9249	83	11	and	and	CCONJ
easat-9249	83	12	space	space	PROPN
easat-9249	83	13	administration	administration	PROPN
easat-9249	83	14	(	(	PUNCT
easat-9249	83	15	nasa	nasa	PROPN
easat-9249	83	16	)	)	PUNCT
easat-9249	83	17	website	website	NOUN
easat-9249	83	18	from	from	ADP
easat-9249	83	19	1983	1983	NUM
easat-9249	83	20	were	be	AUX
easat-9249	83	21	used	use	VERB
easat-9249	83	22	for	for	ADP
easat-9249	83	23	this	this	DET
easat-9249	83	24	study	study	NOUN
easat-9249	83	25	,	,	PUNCT
easat-9249	83	26	obtainable	obtainable	ADJ
easat-9249	83	27	in	in	ADP
easat-9249	83	28	the	the	DET
easat-9249	83	29	giovanni	giovanni	PROPN
easat-9249	83	30	interactive	interactive	ADJ
easat-9249	83	31	visualization	visualization	NOUN
easat-9249	83	32	page	page	NOUN
easat-9249	83	33	.	.	PUNCT
easat-9249	84	1	this	this	PRON
easat-9249	84	2	was	be	AUX
easat-9249	84	3	combined	combine	VERB
easat-9249	84	4	with	with	ADP
easat-9249	84	5	south	south	ADJ
easat-9249	84	6	african	african	ADJ
easat-9249	84	7	weather	weather	NOUN
easat-9249	84	8	service	service	NOUN
easat-9249	84	9	(	(	PUNCT
easat-9249	84	10	saws	saw	NOUN
easat-9249	84	11	)	)	PUNCT
easat-9249	84	12	datasets	dataset	NOUN
easat-9249	84	13	.	.	PUNCT
easat-9249	85	1	seven	seven	NUM
easat-9249	85	2	weather	weather	NOUN
easat-9249	85	3	parameters	parameter	NOUN
easat-9249	85	4	daily	daily	ADJ
easat-9249	85	5	measurements	measurement	NOUN
easat-9249	85	6	(	(	PUNCT
easat-9249	85	7	dew	dew	NOUN
easat-9249	85	8	point	point	NOUN
easat-9249	85	9	,	,	PUNCT
easat-9249	85	10	temperature	temperature	NOUN
easat-9249	85	11	,	,	PUNCT
easat-9249	85	12	rainfall	rainfall	NOUN
easat-9249	85	13	,	,	PUNCT
easat-9249	85	14	wind	wind	NOUN
easat-9249	85	15	speed	speed	NOUN
easat-9249	85	16	,	,	PUNCT
easat-9249	85	17	relative	relative	ADJ
easat-9249	85	18	humidity	humidity	NOUN
easat-9249	85	19	,	,	PUNCT
easat-9249	85	20	water	water	NOUN
easat-9249	85	21	vapour	vapour	NOUN
easat-9249	85	22	,	,	PUNCT
easat-9249	85	23	and	and	CCONJ
easat-9249	85	24	cloud	cloud	NOUN
easat-9249	85	25	cover	cover	NOUN
easat-9249	85	26	)	)	PUNCT
easat-9249	85	27	were	be	AUX
easat-9249	85	28	retrieved	retrieve	VERB
easat-9249	85	29	for	for	ADP
easat-9249	85	30	each	each	DET
easat-9249	85	31	climatic	climatic	ADJ
easat-9249	85	32	zone	zone	NOUN
easat-9249	85	33	and	and	CCONJ
easat-9249	85	34	used	use	VERB
easat-9249	85	35	for	for	ADP
easat-9249	85	36	this	this	DET
easat-9249	85	37	study	study	NOUN
easat-9249	85	38	.	.	PUNCT
easat-9249	86	1	using	use	VERB
easat-9249	86	2	the	the	DET
easat-9249	86	3	koppen	koppen	PROPN
easat-9249	86	4	-	-	PUNCT
easat-9249	86	5	geiger	geiger	NOUN
easat-9249	86	6	climate	climate	NOUN
easat-9249	86	7	classification	classification	NOUN
easat-9249	86	8	,	,	PUNCT
easat-9249	86	9	a	a	DET
easat-9249	86	10	point	point	NOUN
easat-9249	86	11	corresponding	correspond	VERB
easat-9249	86	12	to	to	ADP
easat-9249	86	13	a	a	DET
easat-9249	86	14	major	major	ADJ
easat-9249	86	15	city	city	NOUN
easat-9249	86	16	will	will	AUX
easat-9249	86	17	be	be	AUX
easat-9249	86	18	picked	pick	VERB
easat-9249	86	19	in	in	ADP
easat-9249	86	20	each	each	DET
easat-9249	86	21	climatic	climatic	ADJ
easat-9249	86	22	zones	zone	NOUN
easat-9249	86	23	for	for	ADP
easat-9249	86	24	analysis	analysis	NOUN
easat-9249	86	25	.	.	PUNCT
easat-9249	87	1	once	once	SCONJ
easat-9249	87	2	the	the	DET
easat-9249	87	3	data	data	NOUN
easat-9249	87	4	sets	set	NOUN
easat-9249	87	5	were	be	AUX
easat-9249	87	6	obtained	obtain	VERB
easat-9249	87	7	,	,	PUNCT
easat-9249	87	8	pre	pre	ADJ
easat-9249	87	9	-	-	ADJ
easat-9249	87	10	processing	processing	NOUN
easat-9249	87	11	was	be	AUX
easat-9249	87	12	done	do	VERB
easat-9249	87	13	to	to	PART
easat-9249	87	14	identify	identify	VERB
easat-9249	87	15	the	the	DET
easat-9249	87	16	missing	miss	VERB
easat-9249	87	17	values	value	NOUN
easat-9249	87	18	,	,	PUNCT
easat-9249	87	19	eliminate	eliminate	VERB
easat-9249	87	20	them	they	PRON
easat-9249	87	21	,	,	PUNCT
easat-9249	87	22	and	and	CCONJ
easat-9249	87	23	duplicate	duplicate	VERB
easat-9249	87	24	them	they	PRON
easat-9249	87	25	.	.	PUNCT
easat-9249	88	1	outliers	outlier	NOUN
easat-9249	88	2	were	be	AUX
easat-9249	88	3	then	then	ADV
easat-9249	88	4	identified	identify	VERB
easat-9249	88	5	and	and	CCONJ
easat-9249	88	6	removed	remove	VERB
easat-9249	88	7	from	from	ADP
easat-9249	88	8	the	the	DET
easat-9249	88	9	datasets	dataset	NOUN
easat-9249	88	10	.	.	PUNCT
easat-9249	89	1	the	the	DET
easat-9249	89	2	daily	daily	ADJ
easat-9249	89	3	datasets	dataset	NOUN
easat-9249	89	4	were	be	AUX
easat-9249	89	5	then	then	ADV
easat-9249	89	6	converted	convert	VERB
easat-9249	89	7	to	to	ADP
easat-9249	89	8	monthly	monthly	ADJ
easat-9249	89	9	averages	average	NOUN
easat-9249	89	10	.	.	PUNCT
easat-9249	90	1	the	the	DET
easat-9249	90	2	models	model	NOUN
easat-9249	90	3	were	be	AUX
easat-9249	90	4	trained	train	VERB
easat-9249	90	5	using	use	VERB
easat-9249	90	6	the	the	DET
easat-9249	90	7	abovementioned	abovementioned	ADJ
easat-9249	90	8	four	four	NUM
easat-9249	90	9	models	model	NOUN
easat-9249	90	10	on	on	ADP
easat-9249	90	11	80	80	NUM
easat-9249	90	12	%	%	NOUN
easat-9249	90	13	of	of	ADP
easat-9249	90	14	the	the	DET
easat-9249	90	15	datasets	dataset	NOUN
easat-9249	90	16	.	.	PUNCT
easat-9249	91	1	the	the	DET
easat-9249	91	2	mean	mean	ADJ
easat-9249	91	3	square	square	ADJ
easat-9249	91	4	error	error	NOUN
easat-9249	91	5	(	(	PUNCT
easat-9249	91	6	mse	mse	NOUN
easat-9249	91	7	)	)	PUNCT
easat-9249	91	8	,	,	PUNCT
easat-9249	91	9	the	the	DET
easat-9249	91	10	root	root	NOUN
easat-9249	91	11	mean	mean	VERB
easat-9249	91	12	square	square	ADJ
easat-9249	91	13	error	error	NOUN
easat-9249	91	14	(	(	PUNCT
easat-9249	91	15	rmse	rmse	NOUN
easat-9249	91	16	)	)	PUNCT
easat-9249	91	17	,	,	PUNCT
easat-9249	91	18	the	the	DET
easat-9249	91	19	mean	mean	ADJ
easat-9249	91	20	absolute	absolute	ADJ
easat-9249	91	21	error	error	NOUN
easat-9249	91	22	(	(	PUNCT
easat-9249	91	23	mae	mae	PROPN
easat-9249	91	24	)	)	PUNCT
easat-9249	91	25	,	,	PUNCT
easat-9249	91	26	the	the	DET
easat-9249	91	27	correlation	correlation	NOUN
easat-9249	91	28	coefficient	coefficient	NOUN
easat-9249	91	29	,	,	PUNCT
easat-9249	91	30	and	and	CCONJ
easat-9249	91	31	the	the	DET
easat-9249	91	32	coefficient	coefficient	NOUN
easat-9249	91	33	of	of	ADP
easat-9249	91	34	determination	determination	NOUN
easat-9249	91	35	for	for	ADP
easat-9249	91	36	each	each	DET
easat-9249	91	37	model	model	NOUN
easat-9249	91	38	in	in	ADP
easat-9249	91	39	all	all	DET
easat-9249	91	40	selected	select	VERB
easat-9249	91	41	locations	location	NOUN
easat-9249	91	42	will	will	AUX
easat-9249	91	43	also	also	ADV
easat-9249	91	44	be	be	AUX
easat-9249	91	45	determined	determine	VERB
easat-9249	91	46	to	to	PART
easat-9249	91	47	assess	assess	VERB
easat-9249	91	48	the	the	DET
easat-9249	91	49	predictive	predictive	ADJ
easat-9249	91	50	accuracy	accuracy	NOUN
easat-9249	91	51	of	of	ADP
easat-9249	91	52	the	the	DET
easat-9249	91	53	models	model	NOUN
easat-9249	91	54	.	.	PUNCT
easat-9249	92	1	2.1	2.1	NUM
easat-9249	92	2	.	.	PUNCT
easat-9249	92	3	study	study	NOUN
easat-9249	92	4	location	location	NOUN
easat-9249	92	5	the	the	DET
easat-9249	92	6	study	study	NOUN
easat-9249	92	7	location	location	NOUN
easat-9249	92	8	is	be	AUX
easat-9249	92	9	based	base	VERB
easat-9249	92	10	on	on	ADP
easat-9249	92	11	the	the	DET
easat-9249	92	12	arid	arid	ADJ
easat-9249	92	13	climatic	climatic	ADJ
easat-9249	92	14	zone	zone	NOUN
easat-9249	92	15	of	of	ADP
easat-9249	92	16	the	the	DET
easat-9249	92	17	koppen	koppen	NOUN
easat-9249	92	18	-	-	PUNCT
easat-9249	92	19	gieger	gieger	NOUN
easat-9249	92	20	climate	climate	NOUN
easat-9249	92	21	classification	classification	NOUN
easat-9249	92	22	of	of	ADP
easat-9249	92	23	south	south	PROPN
easat-9249	92	24	africa	africa	PROPN
easat-9249	92	25	.	.	PUNCT
easat-9249	93	1	the	the	DET
easat-9249	93	2	arid	arid	NOUN
easat-9249	93	3	climate	climate	NOUN
easat-9249	93	4	classification	classification	NOUN
easat-9249	93	5	was	be	AUX
easat-9249	93	6	divided	divide	VERB
easat-9249	93	7	into	into	ADP
easat-9249	93	8	the	the	DET
easat-9249	93	9	cold	cold	ADJ
easat-9249	93	10	and	and	CCONJ
easat-9249	93	11	semi	semi	ADJ
easat-9249	93	12	-	-	ADJ
easat-9249	93	13	arid	arid	ADJ
easat-9249	93	14	steppe	steppe	NOUN
easat-9249	93	15	,	,	PUNCT
easat-9249	93	16	cold	cold	ADJ
easat-9249	93	17	arid	arid	NOUN
easat-9249	93	18	desert	desert	PROPN
easat-9249	93	19	,	,	PUNCT
easat-9249	93	20	hot	hot	ADJ
easat-9249	93	21	and	and	CCONJ
easat-9249	93	22	semi	semi	ADJ
easat-9249	93	23	-	-	ADJ
easat-9249	93	24	arid	arid	ADJ
easat-9249	93	25	steppe	steppe	NOUN
easat-9249	93	26	,	,	PUNCT
easat-9249	93	27	and	and	CCONJ
easat-9249	93	28	hot	hot	ADJ
easat-9249	93	29	arid	arid	NOUN
easat-9249	93	30	desert	desert	NOUN
easat-9249	93	31	.	.	PUNCT
easat-9249	94	1	for	for	ADP
easat-9249	94	2	each	each	DET
easat-9249	94	3	division	division	NOUN
easat-9249	94	4	,	,	PUNCT
easat-9249	94	5	three	three	NUM
easat-9249	94	6	locations	location	NOUN
easat-9249	94	7	are	be	AUX
easat-9249	94	8	randomly	randomly	ADV
easat-9249	94	9	selected	select	VERB
easat-9249	94	10	for	for	ADP
easat-9249	94	11	rainfall	rainfall	NOUN
easat-9249	94	12	prediction	prediction	NOUN
easat-9249	94	13	.	.	PUNCT
easat-9249	95	1	this	this	DET
easat-9249	95	2	climate	climate	NOUN
easat-9249	95	3	classification	classification	NOUN
easat-9249	95	4	is	be	AUX
easat-9249	95	5	mostly	mostly	ADV
easat-9249	95	6	found	find	VERB
easat-9249	95	7	in	in	ADP
easat-9249	95	8	the	the	DET
easat-9249	95	9	free	free	ADJ
easat-9249	95	10	state	state	NOUN
easat-9249	95	11	and	and	CCONJ
easat-9249	95	12	northern	northern	ADJ
easat-9249	95	13	cape	cape	NOUN
easat-9249	95	14	provinces	province	NOUN
easat-9249	95	15	of	of	ADP
easat-9249	95	16	south	south	PROPN
easat-9249	95	17	africa	africa	PROPN
easat-9249	95	18	.	.	PUNCT
easat-9249	96	1	table	table	NOUN
easat-9249	96	2	1	1	NUM
easat-9249	96	3	shows	show	VERB
easat-9249	96	4	the	the	DET
easat-9249	96	5	subdivisions	subdivision	NOUN
easat-9249	96	6	and	and	CCONJ
easat-9249	96	7	locations	location	NOUN
easat-9249	96	8	selected	select	VERB
easat-9249	96	9	for	for	ADP
easat-9249	96	10	the	the	DET
easat-9249	96	11	study	study	NOUN
easat-9249	96	12	and	and	CCONJ
easat-9249	96	13	their	their	PRON
easat-9249	96	14	average	average	ADJ
easat-9249	96	15	annual	annual	ADJ
easat-9249	96	16	temperature	temperature	NOUN
easat-9249	96	17	and	and	CCONJ
easat-9249	96	18	rainfall	rainfall	NOUN
easat-9249	96	19	.	.	PUNCT
easat-9249	97	1	151	151	NUM
easat-9249	97	2	edelweiss	edelweiss	PROPN
easat-9249	97	3	applied	apply	VERB
easat-9249	97	4	science	science	NOUN
easat-9249	97	5	and	and	CCONJ
easat-9249	97	6	technology	technology	NOUN
easat-9249	97	7	issn	issn	PROPN
easat-9249	97	8	:	:	PUNCT
easat-9249	97	9	2576	2576	NUM
easat-9249	97	10	-	-	SYM
easat-9249	97	11	8484	8484	NUM
easat-9249	97	12	vol	vol	NOUN
easat-9249	97	13	.	.	PROPN
easat-9249	98	1	9	9	NUM
easat-9249	98	2	,	,	PUNCT
easat-9249	98	3	no	no	INTJ
easat-9249	98	4	.	.	NOUN
easat-9249	98	5	8	8	NUM
easat-9249	98	6	:	:	SYM
easat-9249	98	7	148	148	NUM
easat-9249	98	8	-	-	SYM
easat-9249	98	9	178	178	NUM
easat-9249	98	10	,	,	PUNCT
easat-9249	98	11	2025	2025	NUM
easat-9249	98	12	doi	doi	NOUN
easat-9249	98	13	:	:	PUNCT
easat-9249	98	14	10.55214/2576	10.55214/2576	NUM
easat-9249	98	15	-	-	SYM
easat-9249	98	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	98	17	©	©	ADP
easat-9249	98	18	2025	2025	NUM
easat-9249	98	19	by	by	ADP
easat-9249	98	20	the	the	DET
easat-9249	98	21	authors	author	NOUN
easat-9249	98	22	;	;	PUNCT
easat-9249	98	23	licensee	licensee	PROPN
easat-9249	98	24	learning	learn	VERB
easat-9249	98	25	gate	gate	NOUN
easat-9249	98	26	table	table	NOUN
easat-9249	98	27	1	1	NUM
easat-9249	98	28	.	.	PUNCT
easat-9249	98	29	table	table	NOUN
easat-9249	98	30	showing	show	VERB
easat-9249	98	31	the	the	DET
easat-9249	98	32	koppen	koppen	PROPN
easat-9249	98	33	-	-	PUNCT
easat-9249	98	34	geiger	geiger	NOUN
easat-9249	98	35	climate	climate	NOUN
easat-9249	98	36	classification	classification	NOUN
easat-9249	98	37	of	of	ADP
easat-9249	98	38	south	south	PROPN
easat-9249	98	39	africa	africa	PROPN
easat-9249	98	40	,	,	PUNCT
easat-9249	98	41	the	the	DET
easat-9249	98	42	sub	sub	NOUN
easat-9249	98	43	-	-	NOUN
easat-9249	98	44	divisions	division	NOUN
easat-9249	98	45	,	,	PUNCT
easat-9249	98	46	study	study	NOUN
easat-9249	98	47	locations	location	NOUN
easat-9249	98	48	,	,	PUNCT
easat-9249	98	49	annual	annual	ADJ
easat-9249	98	50	average	average	ADJ
easat-9249	98	51	temperature	temperature	NOUN
easat-9249	98	52	,	,	PUNCT
easat-9249	98	53	and	and	CCONJ
easat-9249	98	54	annual	annual	ADJ
easat-9249	98	55	average	average	ADJ
easat-9249	98	56	rainfall	rainfall	NOUN
easat-9249	98	57	.	.	PUNCT
easat-9249	99	1	climate	climate	NOUN
easat-9249	99	2	classification	classification	NOUN
easat-9249	99	3	sub	sub	ADJ
easat-9249	99	4	-	-	ADJ
easat-9249	99	5	division	division	ADJ
easat-9249	99	6	location	location	NOUN
easat-9249	99	7	average	average	ADJ
easat-9249	99	8	temperature	temperature	NOUN
easat-9249	99	9	(	(	PUNCT
easat-9249	99	10	oc	oc	NOUN
easat-9249	99	11	)	)	PUNCT
easat-9249	99	12	annual	annual	ADJ
easat-9249	99	13	rainfall	rainfall	NOUN
easat-9249	99	14	(	(	PUNCT
easat-9249	99	15	mm	mm	NOUN
easat-9249	99	16	)	)	PUNCT
easat-9249	99	17	summer	summer	NOUN
easat-9249	99	18	(	(	PUNCT
easat-9249	99	19	january	january	PROPN
easat-9249	99	20	)	)	PUNCT
easat-9249	99	21	winter	winter	NOUN
easat-9249	99	22	(	(	PUNCT
easat-9249	99	23	july	july	PROPN
easat-9249	99	24	)	)	PUNCT
easat-9249	99	25	max	max	PROPN
easat-9249	99	26	.	.	PUNCT
easat-9249	100	1	min	min	PROPN
easat-9249	100	2	.	.	PROPN
easat-9249	100	3	max	max	PROPN
easat-9249	100	4	.	.	PUNCT
easat-9249	101	1	min	min	PROPN
easat-9249	101	2	.	.	PROPN
easat-9249	101	3	arid	arid	PROPN
easat-9249	101	4	cold	cold	ADJ
easat-9249	101	5	and	and	CCONJ
easat-9249	101	6	semi	semi	ADJ
easat-9249	101	7	-	-	ADJ
easat-9249	101	8	arid	arid	ADJ
easat-9249	101	9	steppe	steppe	PROPN
easat-9249	101	10	bloemfontein	bloemfontein	PROPN
easat-9249	101	11	29	29	NUM
easat-9249	101	12	15	15	NUM
easat-9249	101	13	15	15	NUM
easat-9249	101	14	-2	-2	NOUN
easat-9249	101	15	469	469	NUM
easat-9249	101	16	springfontein	springfontein	NOUN
easat-9249	101	17	29	29	NUM
easat-9249	101	18	16	16	NUM
easat-9249	101	19	14	14	NUM
easat-9249	101	20	3	3	NUM
easat-9249	101	21	287	287	NUM
easat-9249	101	22	welkom	welkom	NOUN
easat-9249	101	23	32	32	NUM
easat-9249	101	24	17	17	NUM
easat-9249	101	25	20	20	NUM
easat-9249	101	26	2	2	NUM
easat-9249	101	27	577	577	NUM
easat-9249	101	28	cold	cold	ADJ
easat-9249	101	29	arid	arid	NOUN
easat-9249	101	30	desert	desert	PROPN
easat-9249	101	31	alexander	alexander	PROPN
easat-9249	101	32	bay	bay	PROPN
easat-9249	101	33	25	25	NUM
easat-9249	102	1	16	16	NUM
easat-9249	102	2	23	23	NUM
easat-9249	102	3	9	9	NUM
easat-9249	102	4	50	50	NUM
easat-9249	102	5	beautfort	beautfort	NOUN
easat-9249	102	6	west	west	NOUN
easat-9249	102	7	33	33	NUM
easat-9249	102	8	16	16	NUM
easat-9249	102	9	19	19	NUM
easat-9249	102	10	6	6	NUM
easat-9249	102	11	392	392	NUM
easat-9249	102	12	bristown	bristown	VERB
easat-9249	102	13	31	31	NUM
easat-9249	102	14	20	20	NUM
easat-9249	102	15	15	15	NUM
easat-9249	102	16	5	5	NUM
easat-9249	102	17	168	168	NUM
easat-9249	102	18	hot	hot	ADJ
easat-9249	102	19	and	and	CCONJ
easat-9249	102	20	semi	semi	ADJ
easat-9249	102	21	-	-	ADJ
easat-9249	102	22	arid	arid	ADJ
easat-9249	102	23	steppe	steppe	NOUN
easat-9249	102	24	kimberly	kimberly	ADV
easat-9249	102	25	33	33	NUM
easat-9249	102	26	18	18	NUM
easat-9249	102	27	19	19	NUM
easat-9249	102	28	3	3	NUM
easat-9249	102	29	350	350	NUM
easat-9249	102	30	mahikeng	mahikeng	PROPN
easat-9249	102	31	31	31	NUM
easat-9249	102	32	17	17	NUM
easat-9249	102	33	22	22	NUM
easat-9249	102	34	4	4	NUM
easat-9249	102	35	571	571	NUM
easat-9249	102	36	port	port	NOUN
easat-9249	102	37	elizabeth	elizabeth	PROPN
easat-9249	102	38	25	25	NUM
easat-9249	102	39	18	18	NUM
easat-9249	102	40	20	20	NUM
easat-9249	102	41	9	9	NUM
easat-9249	102	42	563	563	NUM
easat-9249	102	43	hot	hot	ADJ
easat-9249	102	44	arid	arid	NOUN
easat-9249	102	45	desert	desert	NOUN
easat-9249	102	46	lauville	lauville	NOUN
easat-9249	102	47	21	21	NUM
easat-9249	102	48	13	13	NUM
easat-9249	102	49	16	16	NUM
easat-9249	102	50	10	10	NUM
easat-9249	102	51	301	301	NUM
easat-9249	102	52	musina	musina	NOUN
easat-9249	102	53	34	34	NUM
easat-9249	102	54	21	21	NUM
easat-9249	102	55	25	25	NUM
easat-9249	102	56	7	7	NUM
easat-9249	102	57	372	372	NUM
easat-9249	102	58	upington	upington	NOUN
easat-9249	102	59	36	36	NUM
easat-9249	102	60	20	20	NUM
easat-9249	102	61	21	21	NUM
easat-9249	102	62	4	4	NUM
easat-9249	102	63	219	219	NUM
easat-9249	102	64	3	3	NUM
easat-9249	102	65	results	result	NOUN
easat-9249	102	66	and	and	CCONJ
easat-9249	102	67	discussion	discussion	NOUN
easat-9249	102	68	3.1	3.1	NUM
easat-9249	102	69	.	.	PUNCT
easat-9249	103	1	correlation	correlation	NOUN
easat-9249	103	2	between	between	ADP
easat-9249	103	3	atmospheric	atmospheric	ADJ
easat-9249	103	4	variables	variable	NOUN
easat-9249	103	5	from	from	ADP
easat-9249	103	6	the	the	DET
easat-9249	103	7	heatmap	heatmap	NOUN
easat-9249	103	8	in	in	ADP
easat-9249	103	9	figure	figure	NOUN
easat-9249	103	10	1	1	NUM
easat-9249	103	11	,	,	PUNCT
easat-9249	103	12	dew	dew	NOUN
easat-9249	103	13	point	point	NOUN
easat-9249	103	14	,	,	PUNCT
easat-9249	103	15	cloud	cloud	NOUN
easat-9249	103	16	cover	cover	NOUN
easat-9249	103	17	,	,	PUNCT
easat-9249	103	18	and	and	CCONJ
easat-9249	103	19	water	water	NOUN
easat-9249	103	20	vapour	vapour	NOUN
easat-9249	103	21	are	be	AUX
easat-9249	103	22	essential	essential	ADJ
easat-9249	103	23	for	for	ADP
easat-9249	103	24	rainfall	rainfall	NOUN
easat-9249	103	25	prediction	prediction	NOUN
easat-9249	103	26	in	in	ADP
easat-9249	103	27	bloemfontein	bloemfontein	NOUN
easat-9249	103	28	as	as	ADP
easat-9249	103	29	their	their	PRON
easat-9249	103	30	correlation	correlation	NOUN
easat-9249	103	31	with	with	ADP
easat-9249	103	32	rainfall	rainfall	NOUN
easat-9249	103	33	is	be	AUX
easat-9249	103	34	0.67,0.69	0.67,0.69	NOUN
easat-9249	103	35	,	,	PUNCT
easat-9249	103	36	and	and	CCONJ
easat-9249	103	37	0.68	0.68	NUM
easat-9249	103	38	,	,	PUNCT
easat-9249	103	39	respectively	respectively	ADV
easat-9249	103	40	.	.	PUNCT
easat-9249	104	1	these	these	DET
easat-9249	104	2	same	same	ADJ
easat-9249	104	3	parameters	parameter	NOUN
easat-9249	104	4	correlated	correlate	VERB
easat-9249	104	5	with	with	ADP
easat-9249	104	6	rainfall	rainfall	NOUN
easat-9249	104	7	with	with	ADP
easat-9249	104	8	coefficients	coefficient	NOUN
easat-9249	104	9	of	of	ADP
easat-9249	104	10	0.72,0.71	0.72,0.71	NOUN
easat-9249	104	11	,	,	PUNCT
easat-9249	104	12	0.71	0.71	NUM
easat-9249	104	13	for	for	ADP
easat-9249	104	14	dew	dew	NOUN
easat-9249	104	15	point	point	NOUN
easat-9249	104	16	,	,	PUNCT
easat-9249	104	17	cloud	cloud	NOUN
easat-9249	104	18	cover	cover	NOUN
easat-9249	104	19	,	,	PUNCT
easat-9249	104	20	and	and	CCONJ
easat-9249	104	21	water	water	NOUN
easat-9249	104	22	vapour	vapour	NOUN
easat-9249	104	23	,	,	PUNCT
easat-9249	104	24	respectively	respectively	ADV
easat-9249	104	25	,	,	PUNCT
easat-9249	104	26	for	for	ADP
easat-9249	104	27	springfontein	springfontein	NOUN
easat-9249	104	28	.	.	PUNCT
easat-9249	105	1	in	in	ADP
easat-9249	105	2	welkom	welkom	NOUN
easat-9249	105	3	,	,	PUNCT
easat-9249	105	4	the	the	DET
easat-9249	105	5	parameters	parameter	NOUN
easat-9249	105	6	that	that	PRON
easat-9249	105	7	correlated	correlate	VERB
easat-9249	105	8	best	well	ADV
easat-9249	105	9	with	with	ADP
easat-9249	105	10	rainfall	rainfall	NOUN
easat-9249	105	11	were	be	AUX
easat-9249	105	12	dew	dew	NOUN
easat-9249	105	13	point	point	NOUN
easat-9249	105	14	,	,	PUNCT
easat-9249	105	15	cloud	cloud	NOUN
easat-9249	105	16	cover	cover	NOUN
easat-9249	105	17	,	,	PUNCT
easat-9249	105	18	water	water	NOUN
easat-9249	105	19	vapour	vapour	NOUN
easat-9249	105	20	,	,	PUNCT
easat-9249	105	21	and	and	CCONJ
easat-9249	105	22	temperature	temperature	NOUN
easat-9249	105	23	,	,	PUNCT
easat-9249	105	24	corresponding	correspond	VERB
easat-9249	105	25	to	to	ADP
easat-9249	105	26	0.68	0.68	NUM
easat-9249	105	27	,	,	PUNCT
easat-9249	105	28	except	except	SCONJ
easat-9249	105	29	for	for	ADP
easat-9249	105	30	temperature	temperature	NOUN
easat-9249	105	31	,	,	PUNCT
easat-9249	105	32	with	with	ADP
easat-9249	105	33	a	a	DET
easat-9249	105	34	correlation	correlation	NOUN
easat-9249	105	35	coefficient	coefficient	NOUN
easat-9249	105	36	of	of	ADP
easat-9249	105	37	0.56	0.56	NUM
easat-9249	105	38	.	.	PUNCT
easat-9249	106	1	relative	relative	ADJ
easat-9249	106	2	humidity	humidity	NOUN
easat-9249	106	3	and	and	CCONJ
easat-9249	106	4	wind	wind	NOUN
easat-9249	106	5	speed	speed	NOUN
easat-9249	106	6	had	have	VERB
easat-9249	106	7	the	the	DET
easat-9249	106	8	lowest	low	ADJ
easat-9249	106	9	coefficients	coefficient	NOUN
easat-9249	106	10	of	of	ADP
easat-9249	106	11	0.11	0.11	NUM
easat-9249	106	12	and	and	CCONJ
easat-9249	106	13	-0.13	-0.13	NUM
easat-9249	106	14	in	in	ADP
easat-9249	106	15	bloemfontein	bloemfontein	PROPN
easat-9249	106	16	.	.	PUNCT
easat-9249	107	1	these	these	DET
easat-9249	107	2	two	two	NUM
easat-9249	107	3	variables	variable	NOUN
easat-9249	107	4	also	also	ADV
easat-9249	107	5	had	have	VERB
easat-9249	107	6	the	the	DET
easat-9249	107	7	lowest	low	ADJ
easat-9249	107	8	in	in	ADP
easat-9249	107	9	springfontein	springfontein	NOUN
easat-9249	107	10	,	,	PUNCT
easat-9249	107	11	corresponding	correspond	VERB
easat-9249	107	12	to	to	ADP
easat-9249	107	13	0.16	0.16	NUM
easat-9249	107	14	and	and	CCONJ
easat-9249	107	15	-0.29	-0.29	ADJ
easat-9249	107	16	for	for	ADP
easat-9249	107	17	relative	relative	ADJ
easat-9249	107	18	humidity	humidity	NOUN
easat-9249	107	19	and	and	CCONJ
easat-9249	107	20	wind	wind	NOUN
easat-9249	107	21	speed	speed	NOUN
easat-9249	107	22	,	,	PUNCT
easat-9249	107	23	respectively	respectively	ADV
easat-9249	107	24	.	.	PUNCT
easat-9249	108	1	in	in	ADP
easat-9249	108	2	welkom	welkom	NOUN
easat-9249	108	3	,	,	PUNCT
easat-9249	108	4	relative	relative	ADJ
easat-9249	108	5	humidity	humidity	NOUN
easat-9249	108	6	and	and	CCONJ
easat-9249	108	7	rainfall	rainfall	NOUN
easat-9249	108	8	correlated	correlate	VERB
easat-9249	108	9	at	at	ADP
easat-9249	108	10	0.29	0.29	NUM
easat-9249	108	11	,	,	PUNCT
easat-9249	108	12	while	while	SCONJ
easat-9249	108	13	rains	rain	NOUN
easat-9249	108	14	and	and	CCONJ
easat-9249	108	15	windspeed	windspeed	NOUN
easat-9249	108	16	correlated	correlate	VERB
easat-9249	108	17	at	at	ADP
easat-9249	108	18	-0.026	-0.026	PUNCT
easat-9249	108	19	.	.	PUNCT
easat-9249	109	1	this	this	DET
easat-9249	109	2	result	result	NOUN
easat-9249	109	3	reveals	reveal	VERB
easat-9249	109	4	that	that	SCONJ
easat-9249	109	5	relative	relative	ADJ
easat-9249	109	6	humidity	humidity	NOUN
easat-9249	109	7	and	and	CCONJ
easat-9249	109	8	wind	wind	NOUN
easat-9249	109	9	speed	speed	NOUN
easat-9249	109	10	are	be	AUX
easat-9249	109	11	not	not	PART
easat-9249	109	12	essential	essential	ADJ
easat-9249	109	13	for	for	ADP
easat-9249	109	14	rainfall	rainfall	NOUN
easat-9249	109	15	prediction	prediction	NOUN
easat-9249	109	16	for	for	ADP
easat-9249	109	17	cold	cold	ADJ
easat-9249	109	18	and	and	CCONJ
easat-9249	109	19	semiarid	semiarid	ADJ
easat-9249	109	20	steppes	steppe	NOUN
easat-9249	109	21	.	.	PUNCT
easat-9249	110	1	atmospheric	atmospheric	ADJ
easat-9249	110	2	parameters	parameter	NOUN
easat-9249	110	3	such	such	ADJ
easat-9249	110	4	as	as	ADP
easat-9249	110	5	dewpoint	dewpoint	NOUN
easat-9249	110	6	,	,	PUNCT
easat-9249	110	7	water	water	NOUN
easat-9249	110	8	vapour	vapour	NOUN
easat-9249	110	9	,	,	PUNCT
easat-9249	110	10	cloud	cloud	NOUN
easat-9249	110	11	cover	cover	NOUN
easat-9249	110	12	,	,	PUNCT
easat-9249	110	13	and	and	CCONJ
easat-9249	110	14	temperature	temperature	NOUN
easat-9249	110	15	should	should	AUX
easat-9249	110	16	be	be	AUX
easat-9249	110	17	used	use	VERB
easat-9249	110	18	for	for	ADP
easat-9249	110	19	accurate	accurate	ADJ
easat-9249	110	20	predictions	prediction	NOUN
easat-9249	110	21	.	.	PUNCT
easat-9249	111	1	the	the	DET
easat-9249	111	2	heatmap	heatmap	NOUN
easat-9249	111	3	in	in	ADP
easat-9249	111	4	figure	figure	NOUN
easat-9249	111	5	1	1	NUM
easat-9249	111	6	also	also	ADV
easat-9249	111	7	showed	show	VERB
easat-9249	111	8	that	that	SCONJ
easat-9249	111	9	no	no	DET
easat-9249	111	10	atmospheric	atmospheric	ADJ
easat-9249	111	11	parameter	parameter	NOUN
easat-9249	111	12	correlated	correlate	VERB
easat-9249	111	13	with	with	ADP
easat-9249	111	14	rainfall	rainfall	NOUN
easat-9249	111	15	in	in	ADP
easat-9249	111	16	alexander	alexander	PROPN
easat-9249	111	17	bay	bay	PROPN
easat-9249	111	18	.	.	PUNCT
easat-9249	112	1	this	this	PRON
easat-9249	112	2	may	may	AUX
easat-9249	112	3	be	be	AUX
easat-9249	112	4	expected	expect	VERB
easat-9249	112	5	as	as	SCONJ
easat-9249	112	6	this	this	DET
easat-9249	112	7	city	city	NOUN
easat-9249	112	8	has	have	VERB
easat-9249	112	9	little	little	ADJ
easat-9249	112	10	or	or	CCONJ
easat-9249	112	11	no	no	PRON
easat-9249	112	12	rainfall	rainfall	NOUN
easat-9249	112	13	.	.	PUNCT
easat-9249	113	1	the	the	DET
easat-9249	113	2	atmospheric	atmospheric	ADJ
easat-9249	113	3	variables	variable	NOUN
easat-9249	113	4	used	use	VERB
easat-9249	113	5	for	for	ADP
easat-9249	113	6	this	this	DET
easat-9249	113	7	study	study	NOUN
easat-9249	113	8	had	have	VERB
easat-9249	113	9	correlation	correlation	NOUN
easat-9249	113	10	coefficients	coefficient	NOUN
easat-9249	113	11	of	of	ADP
easat-9249	113	12	0.084	0.084	NUM
easat-9249	113	13	,	,	PUNCT
easat-9249	113	14	0.018	0.018	NUM
easat-9249	113	15	,	,	PUNCT
easat-9249	113	16	-0.078	-0.078	PROPN
easat-9249	113	17	,	,	PUNCT
easat-9249	113	18	0.20	0.20	NUM
easat-9249	113	19	,	,	PUNCT
easat-9249	113	20	0.11	0.11	NUM
easat-9249	113	21	,	,	PUNCT
easat-9249	113	22	and	and	CCONJ
easat-9249	113	23	-0.096	-0.096	PUNCT
easat-9249	113	24	for	for	ADP
easat-9249	113	25	dewpoint	dewpoint	PROPN
easat-9249	113	26	,	,	PUNCT
easat-9249	113	27	relative	relative	ADJ
easat-9249	113	28	humidity	humidity	NOUN
easat-9249	113	29	,	,	PUNCT
easat-9249	113	30	temperature	temperature	NOUN
easat-9249	113	31	,	,	PUNCT
easat-9249	113	32	cloud	cloud	NOUN
easat-9249	113	33	cover	cover	NOUN
easat-9249	113	34	,	,	PUNCT
easat-9249	113	35	water	water	NOUN
easat-9249	113	36	vapour	vapour	NOUN
easat-9249	113	37	,	,	PUNCT
easat-9249	113	38	and	and	CCONJ
easat-9249	113	39	wind	wind	NOUN
easat-9249	113	40	speed	speed	NOUN
easat-9249	113	41	,	,	PUNCT
easat-9249	113	42	respectively	respectively	ADV
easat-9249	113	43	.	.	PUNCT
easat-9249	114	1	therefore	therefore	ADV
easat-9249	114	2	,	,	PUNCT
easat-9249	114	3	to	to	PART
easat-9249	114	4	make	make	VERB
easat-9249	114	5	any	any	DET
easat-9249	114	6	prediction	prediction	NOUN
easat-9249	114	7	,	,	PUNCT
easat-9249	114	8	historical	historical	ADJ
easat-9249	114	9	rainfall	rainfall	NOUN
easat-9249	114	10	datasets	dataset	NOUN
easat-9249	114	11	would	would	AUX
easat-9249	114	12	be	be	AUX
easat-9249	114	13	the	the	DET
easat-9249	114	14	best	good	ADJ
easat-9249	114	15	datasets	dataset	NOUN
easat-9249	114	16	to	to	PART
easat-9249	114	17	be	be	AUX
easat-9249	114	18	used	use	VERB
easat-9249	114	19	.	.	PUNCT
easat-9249	115	1	however	however	ADV
easat-9249	115	2	,	,	PUNCT
easat-9249	115	3	other	other	ADJ
easat-9249	115	4	atmospheric	atmospheric	ADJ
easat-9249	115	5	variables	variable	NOUN
easat-9249	115	6	had	have	VERB
easat-9249	115	7	high	high	ADJ
easat-9249	115	8	correlation	correlation	NOUN
easat-9249	115	9	between	between	ADP
easat-9249	115	10	them	they	PRON
easat-9249	115	11	,	,	PUNCT
easat-9249	115	12	especially	especially	ADV
easat-9249	115	13	with	with	ADP
easat-9249	115	14	dewpoint	dewpoint	PROPN
easat-9249	115	15	.	.	PUNCT
easat-9249	116	1	dewpoint	dewpoint	PROPN
easat-9249	116	2	correlated	correlate	VERB
easat-9249	116	3	0.91	0.91	NUM
easat-9249	116	4	,	,	PUNCT
easat-9249	116	5	0.92	0.92	NUM
easat-9249	116	6	,	,	PUNCT
easat-9249	116	7	and	and	CCONJ
easat-9249	116	8	0.76	0.76	NUM
easat-9249	116	9	with	with	ADP
easat-9249	116	10	relative	relative	ADJ
easat-9249	116	11	humidity	humidity	NOUN
easat-9249	116	12	,	,	PUNCT
easat-9249	116	13	water	water	NOUN
easat-9249	116	14	vapour	vapour	NOUN
easat-9249	116	15	,	,	PUNCT
easat-9249	116	16	and	and	CCONJ
easat-9249	116	17	temperature	temperature	NOUN
easat-9249	116	18	.	.	PUNCT
easat-9249	117	1	for	for	ADP
easat-9249	117	2	beaufort	beaufort	PROPN
easat-9249	117	3	west	west	PROPN
easat-9249	117	4	,	,	PUNCT
easat-9249	117	5	only	only	ADV
easat-9249	117	6	dew	dew	NOUN
easat-9249	117	7	point	point	NOUN
easat-9249	117	8	and	and	CCONJ
easat-9249	117	9	water	water	NOUN
easat-9249	117	10	vapour	vapour	NOUN
easat-9249	117	11	correlated	correlate	VERB
easat-9249	117	12	0.50	0.50	NUM
easat-9249	117	13	with	with	ADP
easat-9249	117	14	rainfall	rainfall	NOUN
easat-9249	117	15	.	.	PUNCT
easat-9249	118	1	the	the	DET
easat-9249	118	2	dew	dew	NOUN
easat-9249	118	3	point	point	NOUN
easat-9249	118	4	corresponded	correspond	VERB
easat-9249	118	5	to	to	ADP
easat-9249	118	6	0.55	0.55	NUM
easat-9249	118	7	,	,	PUNCT
easat-9249	118	8	while	while	SCONJ
easat-9249	118	9	water	water	NOUN
easat-9249	118	10	vapour	vapour	NOUN
easat-9249	118	11	corresponded	correspond	VERB
easat-9249	118	12	to	to	ADP
easat-9249	118	13	0.57	0.57	NUM
easat-9249	118	14	.	.	PUNCT
easat-9249	119	1	for	for	ADP
easat-9249	119	2	other	other	ADJ
easat-9249	119	3	atmospheric	atmospheric	ADJ
easat-9249	119	4	variables	variable	NOUN
easat-9249	119	5	,	,	PUNCT
easat-9249	119	6	their	their	PRON
easat-9249	119	7	correlation	correlation	NOUN
easat-9249	119	8	with	with	ADP
easat-9249	119	9	rainfall	rainfall	NOUN
easat-9249	119	10	corresponds	correspond	VERB
easat-9249	119	11	to	to	ADP
easat-9249	119	12	0.045	0.045	NUM
easat-9249	119	13	,	,	PUNCT
easat-9249	119	14	0.27	0.27	NUM
easat-9249	119	15	,	,	PUNCT
easat-9249	119	16	0.37	0.37	NUM
easat-9249	119	17	,	,	PUNCT
easat-9249	119	18	and	and	CCONJ
easat-9249	119	19	-0.38	-0.38	PROPN
easat-9249	119	20	for	for	ADP
easat-9249	119	21	relative	relative	ADJ
easat-9249	119	22	humidity	humidity	NOUN
easat-9249	119	23	,	,	PUNCT
easat-9249	119	24	temperature	temperature	NOUN
easat-9249	119	25	,	,	PUNCT
easat-9249	119	26	cloud	cloud	NOUN
easat-9249	119	27	cover	cover	NOUN
easat-9249	119	28	,	,	PUNCT
easat-9249	119	29	and	and	CCONJ
easat-9249	119	30	wind	wind	NOUN
easat-9249	119	31	speed	speed	NOUN
easat-9249	119	32	.	.	PUNCT
easat-9249	120	1	similar	similar	ADJ
easat-9249	120	2	to	to	ADP
easat-9249	120	3	locations	location	NOUN
easat-9249	120	4	under	under	ADP
easat-9249	120	5	the	the	DET
easat-9249	120	6	cold	cold	ADJ
easat-9249	120	7	and	and	CCONJ
easat-9249	120	8	semi	semi	ADJ
easat-9249	120	9	-	-	ADJ
easat-9249	120	10	arid	arid	ADJ
easat-9249	120	11	steppe	steppe	NOUN
easat-9249	120	12	climate	climate	NOUN
easat-9249	120	13	,	,	PUNCT
easat-9249	120	14	rainfall	rainfall	NOUN
easat-9249	120	15	in	in	ADP
easat-9249	120	16	bristown	bristown	PROPN
easat-9249	120	17	had	have	VERB
easat-9249	120	18	the	the	DET
easat-9249	120	19	best	good	ADJ
easat-9249	120	20	correlation	correlation	NOUN
easat-9249	120	21	coefficient	coefficient	NOUN
easat-9249	120	22	corresponding	correspond	VERB
easat-9249	120	23	to	to	ADP
easat-9249	120	24	0.65	0.65	NUM
easat-9249	120	25	,	,	PUNCT
easat-9249	120	26	0.66	0.66	NUM
easat-9249	120	27	,	,	PUNCT
easat-9249	120	28	and	and	CCONJ
easat-9249	120	29	0.64	0.64	NUM
easat-9249	120	30	for	for	ADP
easat-9249	120	31	dew	dew	NOUN
easat-9249	120	32	point	point	NOUN
easat-9249	120	33	,	,	PUNCT
easat-9249	120	34	cloud	cloud	NOUN
easat-9249	120	35	cover	cover	NOUN
easat-9249	120	36	,	,	PUNCT
easat-9249	120	37	and	and	CCONJ
easat-9249	120	38	water	water	NOUN
easat-9249	120	39	vapour	vapour	NOUN
easat-9249	120	40	,	,	PUNCT
easat-9249	120	41	respectively	respectively	ADV
easat-9249	120	42	.	.	PUNCT
easat-9249	121	1	its	its	PRON
easat-9249	121	2	correlation	correlation	NOUN
easat-9249	121	3	with	with	ADP
easat-9249	121	4	relative	relative	ADJ
easat-9249	121	5	humidity	humidity	NOUN
easat-9249	121	6	,	,	PUNCT
easat-9249	121	7	temperature	temperature	NOUN
easat-9249	121	8	,	,	PUNCT
easat-9249	121	9	and	and	CCONJ
easat-9249	121	10	wind	wind	NOUN
easat-9249	121	11	speed	speed	NOUN
easat-9249	121	12	are	be	AUX
easat-9249	121	13	0.22	0.22	NUM
easat-9249	121	14	,	,	PUNCT
easat-9249	121	15	0.29	0.29	NUM
easat-9249	121	16	,	,	PUNCT
easat-9249	121	17	and	and	CCONJ
easat-9249	121	18	-0.35	-0.35	NOUN
easat-9249	121	19	.	.	PUNCT
easat-9249	122	1	this	this	PRON
easat-9249	122	2	shows	show	VERB
easat-9249	122	3	that	that	SCONJ
easat-9249	122	4	the	the	DET
easat-9249	122	5	most	most	ADV
easat-9249	122	6	important	important	ADJ
easat-9249	122	7	variables	variable	NOUN
easat-9249	122	8	for	for	ADP
easat-9249	122	9	rainfall	rainfall	NOUN
easat-9249	122	10	prediction	prediction	NOUN
easat-9249	122	11	are	be	AUX
easat-9249	122	12	dewpoint	dewpoint	NOUN
easat-9249	122	13	,	,	PUNCT
easat-9249	122	14	water	water	NOUN
easat-9249	122	15	vapour	vapour	NOUN
easat-9249	122	16	,	,	PUNCT
easat-9249	122	17	and	and	CCONJ
easat-9249	122	18	cloud	cloud	NOUN
easat-9249	122	19	cover	cover	NOUN
easat-9249	122	20	in	in	ADP
easat-9249	122	21	the	the	DET
easat-9249	122	22	cold	cold	ADJ
easat-9249	122	23	arid	arid	PROPN
easat-9249	122	24	desert	desert	PROPN
easat-9249	122	25	.	.	PUNCT
easat-9249	123	1	152	152	NUM
easat-9249	123	2	edelweiss	edelweiss	PROPN
easat-9249	123	3	applied	apply	VERB
easat-9249	123	4	science	science	NOUN
easat-9249	123	5	and	and	CCONJ
easat-9249	123	6	technology	technology	NOUN
easat-9249	123	7	issn	issn	PROPN
easat-9249	123	8	:	:	PUNCT
easat-9249	123	9	2576	2576	NUM
easat-9249	123	10	-	-	SYM
easat-9249	123	11	8484	8484	NUM
easat-9249	123	12	vol	vol	NOUN
easat-9249	123	13	.	.	PROPN
easat-9249	124	1	9	9	NUM
easat-9249	124	2	,	,	PUNCT
easat-9249	124	3	no	no	INTJ
easat-9249	124	4	.	.	NOUN
easat-9249	124	5	8	8	NUM
easat-9249	124	6	:	:	SYM
easat-9249	124	7	148	148	NUM
easat-9249	124	8	-	-	SYM
easat-9249	124	9	178	178	NUM
easat-9249	124	10	,	,	PUNCT
easat-9249	124	11	2025	2025	NUM
easat-9249	124	12	doi	doi	NOUN
easat-9249	124	13	:	:	PUNCT
easat-9249	124	14	10.55214/2576	10.55214/2576	NUM
easat-9249	124	15	-	-	SYM
easat-9249	124	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	124	17	©	©	ADP
easat-9249	124	18	2025	2025	NUM
easat-9249	124	19	by	by	ADP
easat-9249	124	20	the	the	DET
easat-9249	124	21	authors	author	NOUN
easat-9249	124	22	;	;	PUNCT
easat-9249	124	23	licensee	licensee	PROPN
easat-9249	124	24	learning	learning	NOUN
easat-9249	124	25	gate	gate	VERB
easat-9249	124	26	the	the	DET
easat-9249	124	27	heatmap	heatmap	NOUN
easat-9249	124	28	for	for	ADP
easat-9249	124	29	the	the	DET
easat-9249	124	30	correlation	correlation	NOUN
easat-9249	124	31	between	between	ADP
easat-9249	124	32	rainfall	rainfall	NOUN
easat-9249	124	33	and	and	CCONJ
easat-9249	124	34	other	other	ADJ
easat-9249	124	35	atmospheric	atmospheric	ADJ
easat-9249	124	36	variables	variable	NOUN
easat-9249	124	37	under	under	ADP
easat-9249	124	38	the	the	DET
easat-9249	124	39	hot	hot	ADJ
easat-9249	124	40	and	and	CCONJ
easat-9249	124	41	semi	semi	ADJ
easat-9249	124	42	-	-	ADJ
easat-9249	124	43	arid	arid	ADJ
easat-9249	124	44	steppe	steppe	NOUN
easat-9249	124	45	is	be	AUX
easat-9249	124	46	also	also	ADV
easat-9249	124	47	shown	show	VERB
easat-9249	124	48	in	in	ADP
easat-9249	124	49	figure	figure	NOUN
easat-9249	124	50	1	1	NUM
easat-9249	124	51	.	.	PUNCT
easat-9249	125	1	the	the	DET
easat-9249	125	2	result	result	NOUN
easat-9249	125	3	reveals	reveal	VERB
easat-9249	125	4	that	that	SCONJ
easat-9249	125	5	all	all	DET
easat-9249	125	6	atmospheric	atmospheric	ADJ
easat-9249	125	7	variables	variable	NOUN
easat-9249	125	8	in	in	ADP
easat-9249	125	9	mahikeng	mahikeng	PROPN
easat-9249	125	10	had	have	VERB
easat-9249	125	11	a	a	DET
easat-9249	125	12	correlation	correlation	NOUN
easat-9249	125	13	coefficient	coefficient	NOUN
easat-9249	125	14	with	with	ADP
easat-9249	125	15	rainfall	rainfall	NOUN
easat-9249	125	16	exceeding	exceed	VERB
easat-9249	125	17	0.50	0.50	NUM
easat-9249	125	18	except	except	SCONJ
easat-9249	125	19	wind	wind	NOUN
easat-9249	125	20	speed	speed	NOUN
easat-9249	125	21	,	,	PUNCT
easat-9249	125	22	which	which	PRON
easat-9249	125	23	correlated	correlate	VERB
easat-9249	125	24	with	with	ADP
easat-9249	125	25	-0.18	-0.18	PROPN
easat-9249	125	26	.	.	PUNCT
easat-9249	126	1	dewpoint	dewpoint	PROPN
easat-9249	126	2	,	,	PUNCT
easat-9249	126	3	relative	relative	ADJ
easat-9249	126	4	humidity	humidity	NOUN
easat-9249	126	5	,	,	PUNCT
easat-9249	126	6	temperature	temperature	NOUN
easat-9249	126	7	,	,	PUNCT
easat-9249	126	8	cloud	cloud	NOUN
easat-9249	126	9	cover	cover	NOUN
easat-9249	126	10	,	,	PUNCT
easat-9249	126	11	and	and	CCONJ
easat-9249	126	12	water	water	NOUN
easat-9249	126	13	vapour	vapour	NOUN
easat-9249	126	14	correlation	correlation	NOUN
easat-9249	126	15	coefficients	coefficient	NOUN
easat-9249	126	16	correspond	correspond	VERB
easat-9249	126	17	to	to	ADP
easat-9249	126	18	0.76	0.76	NUM
easat-9249	126	19	,	,	PUNCT
easat-9249	126	20	0.55	0.55	NUM
easat-9249	126	21	,	,	PUNCT
easat-9249	126	22	0.56	0.56	NUM
easat-9249	126	23	,	,	PUNCT
easat-9249	126	24	0.74	0.74	NUM
easat-9249	126	25	,	,	PUNCT
easat-9249	126	26	and	and	CCONJ
easat-9249	126	27	0.78	0.78	NUM
easat-9249	126	28	,	,	PUNCT
easat-9249	126	29	respectively	respectively	ADV
easat-9249	126	30	.	.	PUNCT
easat-9249	127	1	as	as	ADP
easat-9249	127	2	with	with	ADP
easat-9249	127	3	most	most	ADJ
easat-9249	127	4	cities	city	NOUN
easat-9249	127	5	under	under	ADP
easat-9249	127	6	the	the	DET
easat-9249	127	7	arid	arid	NOUN
easat-9249	127	8	climate	climate	NOUN
easat-9249	127	9	classification	classification	NOUN
easat-9249	127	10	,	,	PUNCT
easat-9249	127	11	dewpoint	dewpoint	NOUN
easat-9249	127	12	,	,	PUNCT
easat-9249	127	13	water	water	NOUN
easat-9249	127	14	vapour	vapour	NOUN
easat-9249	127	15	,	,	PUNCT
easat-9249	127	16	and	and	CCONJ
easat-9249	127	17	cloud	cloud	PROPN
easat-9249	127	18	clover	clover	NOUN
easat-9249	127	19	had	have	VERB
easat-9249	127	20	the	the	DET
easat-9249	127	21	highest	high	ADJ
easat-9249	127	22	correlation	correlation	NOUN
easat-9249	127	23	with	with	ADP
easat-9249	127	24	rainfall	rainfall	NOUN
easat-9249	127	25	.	.	PUNCT
easat-9249	128	1	in	in	ADP
easat-9249	128	2	kimberly	kimberly	NOUN
easat-9249	128	3	,	,	PUNCT
easat-9249	128	4	water	water	NOUN
easat-9249	128	5	vapour	vapour	NOUN
easat-9249	128	6	had	have	VERB
easat-9249	128	7	the	the	DET
easat-9249	128	8	highest	high	ADJ
easat-9249	128	9	correlation	correlation	NOUN
easat-9249	128	10	with	with	ADP
easat-9249	128	11	rainfall	rainfall	NOUN
easat-9249	128	12	with	with	ADP
easat-9249	128	13	a	a	DET
easat-9249	128	14	coefficient	coefficient	NOUN
easat-9249	128	15	of	of	ADP
easat-9249	128	16	0.78	0.78	NUM
easat-9249	128	17	,	,	PUNCT
easat-9249	128	18	closely	closely	ADV
easat-9249	128	19	followed	follow	VERB
easat-9249	128	20	by	by	ADP
easat-9249	128	21	cloud	cloud	NOUN
easat-9249	128	22	cover	cover	NOUN
easat-9249	128	23	and	and	CCONJ
easat-9249	128	24	dew	dew	NOUN
easat-9249	128	25	point	point	NOUN
easat-9249	128	26	corresponding	correspond	VERB
easat-9249	128	27	to	to	ADP
easat-9249	128	28	0.77	0.77	NUM
easat-9249	128	29	and	and	CCONJ
easat-9249	128	30	0.76	0.76	NUM
easat-9249	128	31	,	,	PUNCT
easat-9249	128	32	respectively	respectively	ADV
easat-9249	128	33	.	.	PUNCT
easat-9249	129	1	in	in	ADP
easat-9249	129	2	contrast	contrast	NOUN
easat-9249	129	3	,	,	PUNCT
easat-9249	129	4	temperature	temperature	NOUN
easat-9249	129	5	had	have	VERB
easat-9249	129	6	a	a	DET
easat-9249	129	7	coefficient	coefficient	NOUN
easat-9249	129	8	of	of	ADP
easat-9249	129	9	0.50	0.50	NUM
easat-9249	129	10	.	.	PUNCT
easat-9249	130	1	their	their	PRON
easat-9249	130	2	correlation	correlation	NOUN
easat-9249	130	3	coefficients	coefficient	VERB
easat-9249	130	4	with	with	ADP
easat-9249	130	5	rainfall	rainfall	NOUN
easat-9249	130	6	were	be	AUX
easat-9249	130	7	0.36	0.36	NUM
easat-9249	130	8	and	and	CCONJ
easat-9249	130	9	-0.33	-0.33	NOUN
easat-9249	130	10	for	for	ADP
easat-9249	130	11	relative	relative	ADJ
easat-9249	130	12	humidity	humidity	NOUN
easat-9249	130	13	and	and	CCONJ
easat-9249	130	14	wind	wind	NOUN
easat-9249	130	15	speed	speed	NOUN
easat-9249	130	16	,	,	PUNCT
easat-9249	130	17	respectively	respectively	ADV
easat-9249	130	18	.	.	PUNCT
easat-9249	131	1	port	port	PROPN
easat-9249	131	2	elizabeth	elizabeth	PROPN
easat-9249	131	3	showed	show	VERB
easat-9249	131	4	a	a	DET
easat-9249	131	5	similar	similar	ADJ
easat-9249	131	6	pattern	pattern	NOUN
easat-9249	131	7	to	to	ADP
easat-9249	131	8	what	what	PRON
easat-9249	131	9	was	be	AUX
easat-9249	131	10	obtained	obtain	VERB
easat-9249	131	11	in	in	ADP
easat-9249	131	12	alexander	alexander	PROPN
easat-9249	131	13	bay	bay	PROPN
easat-9249	131	14	,	,	PUNCT
easat-9249	131	15	with	with	ADP
easat-9249	131	16	all	all	DET
easat-9249	131	17	atmospheric	atmospheric	ADJ
easat-9249	131	18	variables	variable	NOUN
easat-9249	131	19	having	have	VERB
easat-9249	131	20	a	a	DET
easat-9249	131	21	low	low	ADJ
easat-9249	131	22	correlation	correlation	NOUN
easat-9249	131	23	with	with	ADP
easat-9249	131	24	rainfall	rainfall	NOUN
easat-9249	131	25	.	.	PUNCT
easat-9249	132	1	the	the	DET
easat-9249	132	2	result	result	NOUN
easat-9249	132	3	indicates	indicate	VERB
easat-9249	132	4	that	that	SCONJ
easat-9249	132	5	dewpoint	dewpoint	NOUN
easat-9249	132	6	,	,	PUNCT
easat-9249	132	7	relative	relative	ADJ
easat-9249	132	8	humidity	humidity	NOUN
easat-9249	132	9	,	,	PUNCT
easat-9249	132	10	temperature	temperature	NOUN
easat-9249	132	11	,	,	PUNCT
easat-9249	132	12	cloud	cloud	NOUN
easat-9249	132	13	cover	cover	NOUN
easat-9249	132	14	,	,	PUNCT
easat-9249	132	15	water	water	NOUN
easat-9249	132	16	vapour	vapour	NOUN
easat-9249	132	17	,	,	PUNCT
easat-9249	132	18	and	and	CCONJ
easat-9249	132	19	wind	wind	NOUN
easat-9249	132	20	speed	speed	NOUN
easat-9249	132	21	correlated	correlate	VERB
easat-9249	132	22	with	with	ADP
easat-9249	132	23	rainfall	rainfall	NOUN
easat-9249	132	24	with	with	ADP
easat-9249	132	25	0.17	0.17	NUM
easat-9249	132	26	,	,	PUNCT
easat-9249	132	27	0.20	0.20	NUM
easat-9249	132	28	,	,	PUNCT
easat-9249	132	29	0.06	0.06	NUM
easat-9249	132	30	,	,	PUNCT
easat-9249	132	31	0.25	0.25	NUM
easat-9249	132	32	,	,	PUNCT
easat-9249	132	33	0.21	0.21	NUM
easat-9249	132	34	,	,	PUNCT
easat-9249	132	35	and	and	CCONJ
easat-9249	132	36	0.054	0.054	NUM
easat-9249	132	37	coefficients	coefficient	NOUN
easat-9249	132	38	,	,	PUNCT
easat-9249	132	39	respectively	respectively	ADV
easat-9249	132	40	.	.	PUNCT
easat-9249	133	1	also	also	ADV
easat-9249	133	2	,	,	PUNCT
easat-9249	133	3	as	as	ADP
easat-9249	133	4	in	in	ADP
easat-9249	133	5	alexander	alexander	PROPN
easat-9249	133	6	bay	bay	PROPN
easat-9249	133	7	,	,	PUNCT
easat-9249	133	8	relative	relative	ADJ
easat-9249	133	9	humidity	humidity	NOUN
easat-9249	133	10	,	,	PUNCT
easat-9249	133	11	temperature	temperature	NOUN
easat-9249	133	12	,	,	PUNCT
easat-9249	133	13	and	and	CCONJ
easat-9249	133	14	water	water	NOUN
easat-9249	133	15	vapour	vapour	NOUN
easat-9249	133	16	had	have	VERB
easat-9249	133	17	a	a	DET
easat-9249	133	18	high	high	ADJ
easat-9249	133	19	correlation	correlation	NOUN
easat-9249	133	20	with	with	ADP
easat-9249	133	21	dewpoint	dewpoint	NOUN
easat-9249	133	22	corresponding	correspond	VERB
easat-9249	133	23	to	to	ADP
easat-9249	133	24	0.91	0.91	NUM
easat-9249	133	25	,	,	PUNCT
easat-9249	133	26	0.78	0.78	NUM
easat-9249	133	27	,	,	PUNCT
easat-9249	133	28	and	and	CCONJ
easat-9249	133	29	0.98	0.98	NUM
easat-9249	133	30	,	,	PUNCT
easat-9249	133	31	respectively	respectively	ADV
easat-9249	133	32	.	.	PUNCT
easat-9249	134	1	the	the	DET
easat-9249	134	2	heatmap	heatmap	NOUN
easat-9249	134	3	of	of	ADP
easat-9249	134	4	the	the	DET
easat-9249	134	5	correlation	correlation	NOUN
easat-9249	134	6	of	of	ADP
easat-9249	134	7	atmospheric	atmospheric	ADJ
easat-9249	134	8	parameters	parameter	NOUN
easat-9249	134	9	with	with	ADP
easat-9249	134	10	rainfall	rainfall	NOUN
easat-9249	134	11	showed	show	VERB
easat-9249	134	12	that	that	SCONJ
easat-9249	134	13	cloud	cloud	NOUN
easat-9249	134	14	cover	cover	NOUN
easat-9249	134	15	had	have	VERB
easat-9249	134	16	the	the	DET
easat-9249	134	17	best	good	ADJ
easat-9249	134	18	coefficient	coefficient	NOUN
easat-9249	134	19	in	in	ADP
easat-9249	134	20	lauville	lauville	NOUN
easat-9249	134	21	and	and	CCONJ
easat-9249	134	22	upington	upington	NOUN
easat-9249	134	23	,	,	PUNCT
easat-9249	134	24	corresponding	correspond	VERB
easat-9249	134	25	to	to	ADP
easat-9249	134	26	0.65	0.65	NUM
easat-9249	134	27	and	and	CCONJ
easat-9249	134	28	0.61	0.61	NUM
easat-9249	134	29	,	,	PUNCT
easat-9249	134	30	respectively	respectively	ADV
easat-9249	134	31	.	.	PUNCT
easat-9249	135	1	in	in	ADP
easat-9249	135	2	musina	musina	PROPN
easat-9249	135	3	,	,	PUNCT
easat-9249	135	4	the	the	DET
easat-9249	135	5	best	good	ADJ
easat-9249	135	6	correlation	correlation	NOUN
easat-9249	135	7	with	with	ADP
easat-9249	135	8	rainfall	rainfall	NOUN
easat-9249	135	9	was	be	AUX
easat-9249	135	10	with	with	ADP
easat-9249	135	11	water	water	NOUN
easat-9249	135	12	vapour	vapour	NOUN
easat-9249	135	13	reaching	reach	VERB
easat-9249	135	14	0.64	0.64	NUM
easat-9249	135	15	,	,	PUNCT
easat-9249	135	16	followed	follow	VERB
easat-9249	135	17	by	by	ADP
easat-9249	135	18	cloud	cloud	NOUN
easat-9249	135	19	cover	cover	NOUN
easat-9249	135	20	and	and	CCONJ
easat-9249	135	21	dew	dew	NOUN
easat-9249	135	22	point	point	NOUN
easat-9249	135	23	corresponding	correspond	VERB
easat-9249	135	24	to	to	ADP
easat-9249	135	25	0.62	0.62	NUM
easat-9249	135	26	and	and	CCONJ
easat-9249	135	27	0.60	0.60	NUM
easat-9249	135	28	,	,	PUNCT
easat-9249	135	29	respectively	respectively	ADV
easat-9249	135	30	.	.	PUNCT
easat-9249	136	1	other	other	ADJ
easat-9249	136	2	atmospheric	atmospheric	ADJ
easat-9249	136	3	variables	variable	NOUN
easat-9249	136	4	also	also	ADV
easat-9249	136	5	had	have	VERB
easat-9249	136	6	a	a	DET
easat-9249	136	7	good	good	ADJ
easat-9249	136	8	correlation	correlation	NOUN
easat-9249	136	9	with	with	ADP
easat-9249	136	10	rainfall	rainfall	NOUN
easat-9249	136	11	in	in	ADP
easat-9249	136	12	lauville	lauville	NOUN
easat-9249	136	13	.	.	PUNCT
easat-9249	137	1	dewpoint	dewpoint	NOUN
easat-9249	137	2	,	,	PUNCT
easat-9249	137	3	relative	relative	ADJ
easat-9249	137	4	humidity	humidity	NOUN
easat-9249	137	5	,	,	PUNCT
easat-9249	137	6	temperature	temperature	NOUN
easat-9249	137	7	,	,	PUNCT
easat-9249	137	8	and	and	CCONJ
easat-9249	137	9	water	water	NOUN
easat-9249	137	10	vapour	vapour	NOUN
easat-9249	137	11	all	all	PRON
easat-9249	137	12	correlated	correlate	VERB
easat-9249	137	13	with	with	ADP
easat-9249	137	14	rainfall	rainfall	NOUN
easat-9249	137	15	with	with	ADP
easat-9249	137	16	coefficients	coefficient	NOUN
easat-9249	137	17	corresponding	correspond	VERB
easat-9249	137	18	to	to	ADP
easat-9249	137	19	0.51	0.51	NUM
easat-9249	137	20	,	,	PUNCT
easat-9249	137	21	0.55	0.55	NUM
easat-9249	137	22	,	,	PUNCT
easat-9249	137	23	0.45	0.45	NUM
easat-9249	137	24	,	,	PUNCT
easat-9249	137	25	and	and	CCONJ
easat-9249	137	26	0.58	0.58	NUM
easat-9249	137	27	,	,	PUNCT
easat-9249	137	28	respectively	respectively	ADV
easat-9249	137	29	.	.	PUNCT
easat-9249	138	1	although	although	SCONJ
easat-9249	138	2	most	most	ADJ
easat-9249	138	3	atmospheric	atmospheric	ADJ
easat-9249	138	4	variables	variable	NOUN
easat-9249	138	5	had	have	VERB
easat-9249	138	6	a	a	DET
easat-9249	138	7	correlation	correlation	NOUN
easat-9249	138	8	coefficient	coefficient	NOUN
easat-9249	138	9	greater	great	ADJ
easat-9249	138	10	than	than	ADP
easat-9249	138	11	0.50	0.50	NUM
easat-9249	138	12	with	with	ADP
easat-9249	138	13	rains	rain	NOUN
easat-9249	138	14	,	,	PUNCT
easat-9249	138	15	the	the	DET
easat-9249	138	16	correlation	correlation	NOUN
easat-9249	138	17	coefficient	coefficient	NOUN
easat-9249	138	18	is	be	AUX
easat-9249	138	19	higher	high	ADJ
easat-9249	138	20	than	than	ADP
easat-9249	138	21	0.60	0.60	NUM
easat-9249	138	22	in	in	ADP
easat-9249	138	23	lauville	lauville	NOUN
easat-9249	138	24	only	only	ADV
easat-9249	138	25	for	for	ADP
easat-9249	138	26	cloud	cloud	ADJ
easat-9249	138	27	cover	cover	NOUN
easat-9249	138	28	.	.	PUNCT
easat-9249	139	1	this	this	PRON
easat-9249	139	2	is	be	AUX
easat-9249	139	3	similar	similar	ADJ
easat-9249	139	4	to	to	ADP
easat-9249	139	5	upington	upington	NOUN
easat-9249	139	6	,	,	PUNCT
easat-9249	139	7	as	as	ADP
easat-9249	139	8	only	only	ADV
easat-9249	139	9	cloud	cloud	NOUN
easat-9249	139	10	cover	cover	NOUN
easat-9249	139	11	correlated	correlate	VERB
easat-9249	139	12	with	with	ADP
easat-9249	139	13	rainfall	rainfall	NOUN
easat-9249	139	14	with	with	ADP
easat-9249	139	15	a	a	DET
easat-9249	139	16	coefficient	coefficient	NOUN
easat-9249	139	17	greater	great	ADJ
easat-9249	139	18	than	than	ADP
easat-9249	139	19	0.60	0.60	NUM
easat-9249	139	20	.	.	PUNCT
easat-9249	140	1	dewpoint	dewpoint	NOUN
easat-9249	140	2	,	,	PUNCT
easat-9249	140	3	relative	relative	ADJ
easat-9249	140	4	humidity	humidity	NOUN
easat-9249	140	5	,	,	PUNCT
easat-9249	140	6	temperature	temperature	NOUN
easat-9249	140	7	,	,	PUNCT
easat-9249	140	8	water	water	NOUN
easat-9249	140	9	vapour	vapour	NOUN
easat-9249	140	10	,	,	PUNCT
easat-9249	140	11	and	and	CCONJ
easat-9249	140	12	wind	wind	NOUN
easat-9249	140	13	speed	speed	NOUN
easat-9249	140	14	had	have	VERB
easat-9249	140	15	correlation	correlation	NOUN
easat-9249	140	16	coefficients	coefficient	NOUN
easat-9249	140	17	of	of	ADP
easat-9249	140	18	0.59	0.59	NUM
easat-9249	140	19	,	,	PUNCT
easat-9249	140	20	0.35	0.35	NUM
easat-9249	140	21	,	,	PUNCT
easat-9249	140	22	0.23	0.23	NUM
easat-9249	140	23	,	,	PUNCT
easat-9249	140	24	0.56	0.56	NUM
easat-9249	140	25	,	,	PUNCT
easat-9249	140	26	and	and	CCONJ
easat-9249	140	27	-0.41	-0.41	CCONJ
easat-9249	140	28	,	,	PUNCT
easat-9249	140	29	respectively	respectively	ADV
easat-9249	140	30	,	,	PUNCT
easat-9249	140	31	with	with	ADP
easat-9249	140	32	rainfall	rainfall	NOUN
easat-9249	140	33	at	at	ADP
easat-9249	140	34	upington	upington	NOUN
easat-9249	140	35	.	.	PUNCT
easat-9249	141	1	in	in	ADP
easat-9249	141	2	musina	musina	NOUN
easat-9249	141	3	,	,	PUNCT
easat-9249	141	4	only	only	ADV
easat-9249	141	5	relative	relative	ADJ
easat-9249	141	6	humidity	humidity	NOUN
easat-9249	141	7	,	,	PUNCT
easat-9249	141	8	temperature	temperature	NOUN
easat-9249	141	9	,	,	PUNCT
easat-9249	141	10	and	and	CCONJ
easat-9249	141	11	wind	wind	NOUN
easat-9249	141	12	speed	speed	NOUN
easat-9249	141	13	correlated	correlate	VERB
easat-9249	141	14	with	with	ADP
easat-9249	141	15	rainfall	rainfall	NOUN
easat-9249	141	16	with	with	ADP
easat-9249	141	17	coefficients	coefficient	NOUN
easat-9249	141	18	below	below	ADP
easat-9249	141	19	0.60	0.60	NUM
easat-9249	141	20	.	.	PUNCT
easat-9249	142	1	the	the	DET
easat-9249	142	2	values	value	NOUN
easat-9249	142	3	correspond	correspond	VERB
easat-9249	142	4	to	to	ADP
easat-9249	142	5	0.37	0.37	NUM
easat-9249	142	6	,	,	PUNCT
easat-9249	142	7	0.39	0.39	NUM
easat-9249	142	8	,	,	PUNCT
easat-9249	142	9	and	and	CCONJ
easat-9249	142	10	0.14	0.14	NUM
easat-9249	142	11	for	for	ADP
easat-9249	142	12	relative	relative	ADJ
easat-9249	142	13	humidity	humidity	NOUN
easat-9249	142	14	,	,	PUNCT
easat-9249	142	15	temperature	temperature	NOUN
easat-9249	142	16	,	,	PUNCT
easat-9249	142	17	and	and	CCONJ
easat-9249	142	18	wind	wind	NOUN
easat-9249	142	19	speed	speed	NOUN
easat-9249	142	20	,	,	PUNCT
easat-9249	142	21	respectively	respectively	ADV
easat-9249	142	22	.	.	PUNCT
easat-9249	143	1	153	153	NUM
easat-9249	143	2	edelweiss	edelweiss	PROPN
easat-9249	143	3	applied	apply	VERB
easat-9249	143	4	science	science	NOUN
easat-9249	143	5	and	and	CCONJ
easat-9249	143	6	technology	technology	NOUN
easat-9249	143	7	issn	issn	PROPN
easat-9249	143	8	:	:	PUNCT
easat-9249	143	9	2576	2576	NUM
easat-9249	143	10	-	-	SYM
easat-9249	143	11	8484	8484	NUM
easat-9249	143	12	vol	vol	NOUN
easat-9249	143	13	.	.	PROPN
easat-9249	144	1	9	9	NUM
easat-9249	144	2	,	,	PUNCT
easat-9249	144	3	no	no	INTJ
easat-9249	144	4	.	.	NOUN
easat-9249	144	5	8	8	NUM
easat-9249	144	6	:	:	SYM
easat-9249	144	7	148	148	NUM
easat-9249	144	8	-	-	SYM
easat-9249	144	9	178	178	NUM
easat-9249	144	10	,	,	PUNCT
easat-9249	144	11	2025	2025	NUM
easat-9249	144	12	doi	doi	NOUN
easat-9249	144	13	:	:	PUNCT
easat-9249	144	14	10.55214/2576	10.55214/2576	NUM
easat-9249	144	15	-	-	SYM
easat-9249	144	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	144	17	©	©	ADP
easat-9249	144	18	2025	2025	NUM
easat-9249	144	19	by	by	ADP
easat-9249	144	20	the	the	DET
easat-9249	144	21	authors	author	NOUN
easat-9249	144	22	;	;	PUNCT
easat-9249	144	23	licensee	licensee	PROPN
easat-9249	144	24	learning	learning	NOUN
easat-9249	144	25	gate	gate	PROPN
easat-9249	144	26	154	154	NUM
easat-9249	144	27	edelweiss	edelweiss	PROPN
easat-9249	144	28	applied	apply	VERB
easat-9249	144	29	science	science	NOUN
easat-9249	144	30	and	and	CCONJ
easat-9249	144	31	technology	technology	NOUN
easat-9249	144	32	issn	issn	PROPN
easat-9249	144	33	:	:	PUNCT
easat-9249	144	34	2576	2576	NUM
easat-9249	144	35	-	-	SYM
easat-9249	144	36	8484	8484	NUM
easat-9249	144	37	vol	vol	NOUN
easat-9249	144	38	.	.	PROPN
easat-9249	145	1	9	9	NUM
easat-9249	145	2	,	,	PUNCT
easat-9249	145	3	no	no	INTJ
easat-9249	145	4	.	.	NOUN
easat-9249	145	5	8	8	NUM
easat-9249	145	6	:	:	SYM
easat-9249	145	7	148	148	NUM
easat-9249	145	8	-	-	SYM
easat-9249	145	9	178	178	NUM
easat-9249	145	10	,	,	PUNCT
easat-9249	145	11	2025	2025	NUM
easat-9249	145	12	doi	doi	NOUN
easat-9249	145	13	:	:	PUNCT
easat-9249	145	14	10.55214/2576	10.55214/2576	NUM
easat-9249	145	15	-	-	SYM
easat-9249	145	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	145	17	©	©	ADP
easat-9249	145	18	2025	2025	NUM
easat-9249	145	19	by	by	ADP
easat-9249	145	20	the	the	DET
easat-9249	145	21	authors	author	NOUN
easat-9249	145	22	;	;	PUNCT
easat-9249	145	23	licensee	licensee	PROPN
easat-9249	145	24	learning	learn	VERB
easat-9249	145	25	gate	gate	NOUN
easat-9249	145	26	figure	figure	NOUN
easat-9249	145	27	1	1	NUM
easat-9249	145	28	.	.	PUNCT
easat-9249	145	29	correlation	correlation	NOUN
easat-9249	145	30	coefficient	coefficient	NOUN
easat-9249	145	31	of	of	ADP
easat-9249	145	32	atmospheric	atmospheric	ADJ
easat-9249	145	33	variables	variable	NOUN
easat-9249	145	34	used	use	VERB
easat-9249	145	35	for	for	ADP
easat-9249	145	36	the	the	DET
easat-9249	145	37	study	study	NOUN
easat-9249	145	38	.	.	PUNCT
easat-9249	146	1	3.2	3.2	NUM
easat-9249	146	2	.	.	PUNCT
easat-9249	147	1	rainfall	rainfall	NOUN
easat-9249	147	2	prediction	prediction	NOUN
easat-9249	147	3	over	over	ADP
easat-9249	147	4	different	different	ADJ
easat-9249	147	5	climatic	climatic	ADJ
easat-9249	147	6	zones	zone	NOUN
easat-9249	147	7	3.2.1	3.2.1	NUM
easat-9249	147	8	.	.	PUNCT
easat-9249	148	1	cold	cold	ADJ
easat-9249	148	2	and	and	CCONJ
easat-9249	148	3	semi	semi	ADJ
easat-9249	148	4	-	-	ADJ
easat-9249	148	5	arid	arid	ADJ
easat-9249	148	6	steppe	steppe	NOUN
easat-9249	148	7	table	table	NOUN
easat-9249	148	8	2	2	NUM
easat-9249	148	9	shows	show	VERB
easat-9249	148	10	the	the	DET
easat-9249	148	11	evaluation	evaluation	NOUN
easat-9249	148	12	metrics	metric	NOUN
easat-9249	148	13	for	for	ADP
easat-9249	148	14	rainfall	rainfall	NOUN
easat-9249	148	15	prediction	prediction	NOUN
easat-9249	148	16	for	for	ADP
easat-9249	148	17	three	three	NUM
easat-9249	148	18	locations	location	NOUN
easat-9249	148	19	(	(	PUNCT
easat-9249	148	20	bloemfontein	bloemfontein	NOUN
easat-9249	148	21	,	,	PUNCT
easat-9249	148	22	springfontein	springfontein	NOUN
easat-9249	148	23	,	,	PUNCT
easat-9249	148	24	and	and	CCONJ
easat-9249	148	25	welkom	welkom	NOUN
easat-9249	148	26	)	)	PUNCT
easat-9249	148	27	under	under	ADP
easat-9249	148	28	the	the	DET
easat-9249	148	29	cold	cold	ADJ
easat-9249	148	30	and	and	CCONJ
easat-9249	148	31	semi	semi	ADJ
easat-9249	148	32	-	-	ADJ
easat-9249	148	33	arid	arid	ADJ
easat-9249	148	34	steppe	steppe	NOUN
easat-9249	148	35	climate	climate	NOUN
easat-9249	148	36	classification	classification	NOUN
easat-9249	148	37	.	.	PUNCT
easat-9249	149	1	the	the	DET
easat-9249	149	2	result	result	NOUN
easat-9249	149	3	reveals	reveal	VERB
easat-9249	149	4	that	that	SCONJ
easat-9249	149	5	all	all	DET
easat-9249	149	6	four	four	NUM
easat-9249	149	7	machine	machine	NOUN
easat-9249	149	8	learning	learning	NOUN
easat-9249	149	9	models	model	NOUN
easat-9249	149	10	can	can	AUX
easat-9249	149	11	be	be	AUX
easat-9249	149	12	employed	employ	VERB
easat-9249	149	13	in	in	ADP
easat-9249	149	14	the	the	DET
easat-9249	149	15	region	region	NOUN
easat-9249	149	16	.	.	PUNCT
easat-9249	150	1	the	the	DET
easat-9249	150	2	support	support	NOUN
easat-9249	150	3	vector	vector	NOUN
easat-9249	150	4	machine	machine	NOUN
easat-9249	150	5	had	have	VERB
easat-9249	150	6	the	the	DET
easat-9249	150	7	highest	high	ADJ
easat-9249	150	8	correlation	correlation	NOUN
easat-9249	150	9	coefficient	coefficient	NOUN
easat-9249	150	10	for	for	ADP
easat-9249	150	11	all	all	DET
easat-9249	150	12	three	three	NUM
easat-9249	150	13	locations	location	NOUN
easat-9249	150	14	,	,	PUNCT
easat-9249	150	15	corresponding	correspond	VERB
easat-9249	150	16	to	to	ADP
easat-9249	150	17	0.79	0.79	NUM
easat-9249	150	18	,	,	PUNCT
easat-9249	150	19	0.74	0.74	NUM
easat-9249	150	20	,	,	PUNCT
easat-9249	150	21	and	and	CCONJ
easat-9249	150	22	0.80	0.80	NUM
easat-9249	150	23	for	for	ADP
easat-9249	150	24	bloemfontein	bloemfontein	NOUN
easat-9249	150	25	,	,	PUNCT
easat-9249	150	26	springfontein	springfontein	NOUN
easat-9249	150	27	,	,	PUNCT
easat-9249	150	28	and	and	CCONJ
easat-9249	150	29	welkom	welkom	NOUN
easat-9249	150	30	,	,	PUNCT
easat-9249	150	31	respectively	respectively	ADV
easat-9249	150	32	.	.	PUNCT
easat-9249	151	1	this	this	PRON
easat-9249	151	2	is	be	AUX
easat-9249	151	3	closely	closely	ADV
easat-9249	151	4	followed	follow	VERB
easat-9249	151	5	by	by	ADP
easat-9249	151	6	linear	linear	ADJ
easat-9249	151	7	regression	regression	NOUN
easat-9249	151	8	and	and	CCONJ
easat-9249	151	9	then	then	ADV
easat-9249	151	10	ridge	ridge	PROPN
easat-9249	151	11	and	and	CCONJ
easat-9249	151	12	lasso	lasso	PROPN
easat-9249	151	13	.	.	PUNCT
easat-9249	152	1	however	however	ADV
easat-9249	152	2	,	,	PUNCT
easat-9249	152	3	for	for	ADP
easat-9249	152	4	the	the	DET
easat-9249	152	5	coefficient	coefficient	NOUN
easat-9249	152	6	of	of	ADP
easat-9249	152	7	determination	determination	NOUN
easat-9249	152	8	(	(	PUNCT
easat-9249	152	9	r2	r2	PROPN
easat-9249	152	10	)	)	PUNCT
easat-9249	152	11	,	,	PUNCT
easat-9249	152	12	the	the	DET
easat-9249	152	13	best	good	ADJ
easat-9249	152	14	model	model	NOUN
easat-9249	152	15	was	be	AUX
easat-9249	152	16	the	the	DET
easat-9249	152	17	linear	linear	ADJ
easat-9249	152	18	regression	regression	NOUN
easat-9249	152	19	with	with	ADP
easat-9249	152	20	values	value	NOUN
easat-9249	152	21	of	of	ADP
easat-9249	152	22	0.80	0.80	NUM
easat-9249	152	23	,	,	PUNCT
easat-9249	152	24	0.76	0.76	NUM
easat-9249	152	25	,	,	PUNCT
easat-9249	152	26	and	and	CCONJ
easat-9249	152	27	0.82	0.82	NUM
easat-9249	152	28	for	for	ADP
easat-9249	152	29	bloemfontein	bloemfontein	PROPN
easat-9249	152	30	,	,	PUNCT
easat-9249	152	31	springfontein	springfontein	NOUN
easat-9249	152	32	,	,	PUNCT
easat-9249	152	33	and	and	CCONJ
easat-9249	152	34	welkom	welkom	NOUN
easat-9249	152	35	respectively	respectively	ADV
easat-9249	152	36	,	,	PUNCT
easat-9249	152	37	followed	follow	VERB
easat-9249	152	38	by	by	ADP
easat-9249	152	39	the	the	DET
easat-9249	152	40	ridge	ridge	NOUN
easat-9249	152	41	and	and	CCONJ
easat-9249	152	42	lasso	lasso	NOUN
easat-9249	152	43	.	.	PUNCT
easat-9249	153	1	for	for	ADP
easat-9249	153	2	both	both	CCONJ
easat-9249	153	3	random	random	ADJ
easat-9249	153	4	forest	forest	NOUN
easat-9249	153	5	and	and	CCONJ
easat-9249	153	6	support	support	VERB
easat-9249	153	7	vector	vector	NOUN
easat-9249	153	8	machine	machine	NOUN
easat-9249	153	9	,	,	PUNCT
easat-9249	153	10	the	the	DET
easat-9249	153	11	values	value	NOUN
easat-9249	153	12	were	be	AUX
easat-9249	153	13	below	below	ADP
easat-9249	153	14	0.50	0.50	NUM
easat-9249	153	15	except	except	SCONJ
easat-9249	153	16	for	for	ADP
easat-9249	153	17	random	random	ADJ
easat-9249	153	18	forest	forest	NOUN
easat-9249	153	19	in	in	ADP
easat-9249	153	20	welkom	welkom	NOUN
easat-9249	153	21	.	.	PUNCT
easat-9249	154	1	previously	previously	ADV
easat-9249	154	2	,	,	PUNCT
easat-9249	154	3	moeletsi	moeletsi	PROPN
easat-9249	154	4	,	,	PUNCT
easat-9249	154	5	et	et	PROPN
easat-9249	154	6	al	al	PROPN
easat-9249	154	7	.	.	PUNCT
easat-9249	155	1	[	[	X
easat-9249	155	2	15	15	NUM
easat-9249	155	3	]	]	PUNCT
easat-9249	155	4	evaluated	evaluate	VERB
easat-9249	155	5	an	an	DET
easat-9249	155	6	inverse	inverse	NOUN
easat-9249	155	7	weighting	weighting	NOUN
easat-9249	155	8	method	method	NOUN
easat-9249	155	9	(	(	PUNCT
easat-9249	155	10	idw	idw	PROPN
easat-9249	155	11	)	)	PUNCT
easat-9249	155	12	for	for	ADP
easat-9249	155	13	patching	patch	VERB
easat-9249	155	14	daily	daily	ADJ
easat-9249	155	15	and	and	CCONJ
easat-9249	155	16	10	10	NUM
easat-9249	155	17	-	-	PUNCT
easat-9249	155	18	day	day	NOUN
easat-9249	155	19	rainfall	rainfall	NOUN
easat-9249	155	20	for	for	ADP
easat-9249	155	21	six	six	NUM
easat-9249	155	22	weather	weather	NOUN
easat-9249	155	23	stations	station	NOUN
easat-9249	155	24	in	in	ADP
easat-9249	155	25	free	free	ADJ
easat-9249	155	26	state	state	PROPN
easat-9249	155	27	south	south	PROPN
easat-9249	155	28	africa	africa	PROPN
easat-9249	155	29	using	use	VERB
easat-9249	155	30	58	58	NUM
easat-9249	155	31	-	-	PUNCT
easat-9249	155	32	year	year	NOUN
easat-9249	155	33	datasets	dataset	NOUN
easat-9249	155	34	.	.	PUNCT
easat-9249	156	1	they	they	PRON
easat-9249	156	2	showed	show	VERB
easat-9249	156	3	that	that	SCONJ
easat-9249	156	4	their	their	PRON
easat-9249	156	5	idw	idw	PROPN
easat-9249	156	6	155	155	NUM
easat-9249	156	7	edelweiss	edelweiss	PROPN
easat-9249	156	8	applied	apply	VERB
easat-9249	156	9	science	science	NOUN
easat-9249	156	10	and	and	CCONJ
easat-9249	156	11	technology	technology	NOUN
easat-9249	156	12	issn	issn	PROPN
easat-9249	156	13	:	:	PUNCT
easat-9249	156	14	2576	2576	NUM
easat-9249	156	15	-	-	SYM
easat-9249	156	16	8484	8484	NUM
easat-9249	156	17	vol	vol	NOUN
easat-9249	156	18	.	.	PROPN
easat-9249	157	1	9	9	NUM
easat-9249	157	2	,	,	PUNCT
easat-9249	157	3	no	no	INTJ
easat-9249	157	4	.	.	NOUN
easat-9249	157	5	8	8	NUM
easat-9249	157	6	:	:	SYM
easat-9249	157	7	148	148	NUM
easat-9249	157	8	-	-	SYM
easat-9249	157	9	178	178	NUM
easat-9249	157	10	,	,	PUNCT
easat-9249	157	11	2025	2025	NUM
easat-9249	157	12	doi	doi	NOUN
easat-9249	157	13	:	:	PUNCT
easat-9249	157	14	10.55214/2576	10.55214/2576	NUM
easat-9249	157	15	-	-	SYM
easat-9249	157	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	157	17	©	©	ADP
easat-9249	157	18	2025	2025	NUM
easat-9249	157	19	by	by	ADP
easat-9249	157	20	the	the	DET
easat-9249	157	21	authors	author	NOUN
easat-9249	157	22	;	;	PUNCT
easat-9249	157	23	licensee	licensee	PROPN
easat-9249	157	24	learning	learn	VERB
easat-9249	157	25	gate	gate	NOUN
easat-9249	157	26	method	method	NOUN
easat-9249	157	27	was	be	AUX
easat-9249	157	28	highly	highly	ADV
easat-9249	157	29	effective	effective	ADJ
easat-9249	157	30	for	for	ADP
easat-9249	157	31	daily	daily	ADJ
easat-9249	157	32	and	and	CCONJ
easat-9249	157	33	10	10	NUM
easat-9249	157	34	-	-	PUNCT
easat-9249	157	35	day	day	NOUN
easat-9249	157	36	predictions	prediction	NOUN
easat-9249	157	37	.	.	PUNCT
easat-9249	158	1	bloemfontein	bloemfontein	PROPN
easat-9249	158	2	and	and	CCONJ
easat-9249	158	3	welkom	welkom	PROPN
easat-9249	158	4	obtained	obtain	VERB
easat-9249	158	5	an	an	DET
easat-9249	158	6	r2	r2	NOUN
easat-9249	158	7	value	value	NOUN
easat-9249	158	8	of	of	ADP
easat-9249	158	9	0.90	0.90	NUM
easat-9249	158	10	and	and	CCONJ
easat-9249	158	11	0.78	0.78	NUM
easat-9249	158	12	and	and	CCONJ
easat-9249	158	13	a	a	DET
easat-9249	158	14	mae	mae	PROPN
easat-9249	158	15	of	of	ADP
easat-9249	158	16	3.17	3.17	NUM
easat-9249	158	17	and	and	CCONJ
easat-9249	158	18	5.60	5.60	NUM
easat-9249	158	19	for	for	ADP
easat-9249	158	20	both	both	DET
easat-9249	158	21	locations	location	NOUN
easat-9249	158	22	,	,	PUNCT
easat-9249	158	23	respectively	respectively	ADV
easat-9249	158	24	.	.	PUNCT
easat-9249	159	1	figure	figure	NOUN
easat-9249	159	2	2	2	NUM
easat-9249	159	3	shows	show	VERB
easat-9249	159	4	temporal	temporal	ADJ
easat-9249	159	5	variation	variation	NOUN
easat-9249	159	6	in	in	ADP
easat-9249	159	7	rainfall	rainfall	NOUN
easat-9249	159	8	for	for	ADP
easat-9249	159	9	the	the	DET
easat-9249	159	10	three	three	NUM
easat-9249	159	11	locations	location	NOUN
easat-9249	159	12	under	under	ADP
easat-9249	159	13	the	the	DET
easat-9249	159	14	cold	cold	ADJ
easat-9249	159	15	and	and	CCONJ
easat-9249	159	16	semi	semi	ADJ
easat-9249	159	17	-	-	ADJ
easat-9249	159	18	arid	arid	ADJ
easat-9249	159	19	steppe	steppe	NOUN
easat-9249	159	20	for	for	ADP
easat-9249	159	21	linear	linear	PROPN
easat-9249	159	22	regression	regression	NOUN
easat-9249	159	23	,	,	PUNCT
easat-9249	159	24	random	random	ADJ
easat-9249	159	25	forest	forest	NOUN
easat-9249	159	26	,	,	PUNCT
easat-9249	159	27	support	support	NOUN
easat-9249	159	28	vector	vector	NOUN
easat-9249	159	29	machine	machine	NOUN
easat-9249	159	30	,	,	PUNCT
easat-9249	159	31	and	and	CCONJ
easat-9249	159	32	the	the	DET
easat-9249	159	33	ridge	ridge	NOUN
easat-9249	159	34	and	and	CCONJ
easat-9249	159	35	lasso	lasso	NOUN
easat-9249	159	36	.	.	PUNCT
easat-9249	160	1	the	the	DET
easat-9249	160	2	results	result	NOUN
easat-9249	160	3	showed	show	VERB
easat-9249	160	4	that	that	SCONJ
easat-9249	160	5	for	for	ADP
easat-9249	160	6	all	all	DET
easat-9249	160	7	locations	location	NOUN
easat-9249	160	8	and	and	CCONJ
easat-9249	160	9	algorithms	algorithm	NOUN
easat-9249	160	10	,	,	PUNCT
easat-9249	160	11	the	the	DET
easat-9249	160	12	model	model	NOUN
easat-9249	160	13	accurately	accurately	ADV
easat-9249	160	14	predicted	predict	VERB
easat-9249	160	15	the	the	DET
easat-9249	160	16	seasonal	seasonal	ADJ
easat-9249	160	17	variability	variability	NOUN
easat-9249	160	18	of	of	ADP
easat-9249	160	19	rainfall	rainfall	NOUN
easat-9249	160	20	,	,	PUNCT
easat-9249	160	21	though	though	SCONJ
easat-9249	160	22	they	they	PRON
easat-9249	160	23	all	all	PRON
easat-9249	160	24	underestimated	underestimate	VERB
easat-9249	160	25	the	the	DET
easat-9249	160	26	amount	amount	NOUN
easat-9249	160	27	of	of	ADP
easat-9249	160	28	rainfall	rainfall	NOUN
easat-9249	160	29	received	receive	VERB
easat-9249	160	30	.	.	PUNCT
easat-9249	161	1	for	for	ADP
easat-9249	161	2	springfontein	springfontein	NOUN
easat-9249	161	3	,	,	PUNCT
easat-9249	161	4	the	the	DET
easat-9249	161	5	model	model	NOUN
easat-9249	161	6	correctly	correctly	ADV
easat-9249	161	7	predicted	predict	VERB
easat-9249	161	8	the	the	DET
easat-9249	161	9	seasonal	seasonal	ADJ
easat-9249	161	10	variation	variation	NOUN
easat-9249	161	11	with	with	ADP
easat-9249	161	12	90	90	NUM
easat-9249	161	13	%	%	NOUN
easat-9249	161	14	accuracy	accuracy	NOUN
easat-9249	161	15	for	for	ADP
easat-9249	161	16	the	the	DET
easat-9249	161	17	first	first	ADJ
easat-9249	161	18	five	five	NUM
easat-9249	161	19	years	year	NOUN
easat-9249	161	20	between	between	ADP
easat-9249	161	21	2015	2015	NUM
easat-9249	161	22	and	and	CCONJ
easat-9249	161	23	2019	2019	NUM
easat-9249	161	24	but	but	CCONJ
easat-9249	161	25	underestimated	underestimate	VERB
easat-9249	161	26	it	it	PRON
easat-9249	161	27	,	,	PUNCT
easat-9249	161	28	especially	especially	ADV
easat-9249	161	29	in	in	ADP
easat-9249	161	30	2021	2021	NUM
easat-9249	161	31	and	and	CCONJ
easat-9249	161	32	2022	2022	NUM
easat-9249	161	33	.	.	PUNCT
easat-9249	162	1	linear	linear	ADJ
easat-9249	162	2	regression	regression	NOUN
easat-9249	162	3	,	,	PUNCT
easat-9249	162	4	random	random	ADJ
easat-9249	162	5	forest	forest	NOUN
easat-9249	162	6	,	,	PUNCT
easat-9249	162	7	and	and	CCONJ
easat-9249	162	8	the	the	DET
easat-9249	162	9	support	support	NOUN
easat-9249	162	10	vector	vector	NOUN
easat-9249	162	11	machine	machine	NOUN
easat-9249	162	12	modelled	model	VERB
easat-9249	162	13	the	the	DET
easat-9249	162	14	spike	spike	NOUN
easat-9249	162	15	in	in	ADP
easat-9249	162	16	2017	2017	NUM
easat-9249	162	17	rainfall	rainfall	NOUN
easat-9249	162	18	estimates	estimate	NOUN
easat-9249	162	19	but	but	CCONJ
easat-9249	162	20	overestimated	overestimate	VERB
easat-9249	162	21	the	the	DET
easat-9249	162	22	increase	increase	NOUN
easat-9249	162	23	from	from	ADP
easat-9249	162	24	2019	2019	NUM
easat-9249	162	25	.	.	PUNCT
easat-9249	163	1	they	they	PRON
easat-9249	163	2	all	all	PRON
easat-9249	163	3	underestimated	underestimate	VERB
easat-9249	163	4	the	the	DET
easat-9249	163	5	amount	amount	NOUN
easat-9249	163	6	of	of	ADP
easat-9249	163	7	rainfall	rainfall	NOUN
easat-9249	163	8	received	receive	VERB
easat-9249	163	9	in	in	ADP
easat-9249	163	10	springfontein	springfontein	NOUN
easat-9249	163	11	.	.	PUNCT
easat-9249	164	1	the	the	DET
easat-9249	164	2	underestimation	underestimation	NOUN
easat-9249	164	3	in	in	ADP
easat-9249	164	4	2021	2021	NUM
easat-9249	164	5	and	and	CCONJ
easat-9249	164	6	2022	2022	NUM
easat-9249	164	7	may	may	AUX
easat-9249	164	8	be	be	AUX
easat-9249	164	9	due	due	ADJ
easat-9249	164	10	to	to	ADP
easat-9249	164	11	the	the	DET
easat-9249	164	12	region	region	NOUN
easat-9249	164	13	receiving	receive	VERB
easat-9249	164	14	more	more	ADJ
easat-9249	164	15	rainfall	rainfall	NOUN
easat-9249	164	16	than	than	ADP
easat-9249	164	17	usual	usual	ADJ
easat-9249	164	18	.	.	PUNCT
easat-9249	165	1	in	in	ADP
easat-9249	165	2	a	a	DET
easat-9249	165	3	semi	semi	ADJ
easat-9249	165	4	-	-	ADJ
easat-9249	165	5	arid	arid	ADJ
easat-9249	165	6	climate	climate	NOUN
easat-9249	165	7	,	,	PUNCT
easat-9249	165	8	it	it	PRON
easat-9249	165	9	experiences	experience	VERB
easat-9249	165	10	over	over	ADP
easat-9249	165	11	230	230	NUM
easat-9249	165	12	dry	dry	ADJ
easat-9249	165	13	days	day	NOUN
easat-9249	165	14	a	a	DET
easat-9249	165	15	year	year	NOUN
easat-9249	165	16	,	,	PUNCT
easat-9249	165	17	an	an	DET
easat-9249	165	18	average	average	ADJ
easat-9249	165	19	annual	annual	ADJ
easat-9249	165	20	temperature	temperature	NOUN
easat-9249	165	21	of	of	ADP
easat-9249	165	22	22oc	22oc	NUM
easat-9249	165	23	,	,	PUNCT
easat-9249	165	24	and	and	CCONJ
easat-9249	165	25	an	an	DET
easat-9249	165	26	average	average	ADJ
easat-9249	165	27	humidity	humidity	NOUN
easat-9249	165	28	of	of	ADP
easat-9249	165	29	48	48	NUM
easat-9249	165	30	%	%	NOUN
easat-9249	165	31	.	.	PUNCT
easat-9249	166	1	unfortunately	unfortunately	ADV
easat-9249	166	2	,	,	PUNCT
easat-9249	166	3	none	none	NOUN
easat-9249	166	4	of	of	ADP
easat-9249	166	5	the	the	DET
easat-9249	166	6	models	model	NOUN
easat-9249	166	7	could	could	AUX
easat-9249	166	8	accurately	accurately	ADV
easat-9249	166	9	predict	predict	VERB
easat-9249	166	10	the	the	DET
easat-9249	166	11	unexpected	unexpected	ADJ
easat-9249	166	12	spike	spike	NOUN
easat-9249	166	13	in	in	ADP
easat-9249	166	14	the	the	DET
easat-9249	166	15	yearly	yearly	ADJ
easat-9249	166	16	rainfall	rainfall	NOUN
easat-9249	166	17	.	.	PUNCT
easat-9249	167	1	this	this	DET
easat-9249	167	2	increase	increase	NOUN
easat-9249	167	3	in	in	ADP
easat-9249	167	4	2021	2021	NUM
easat-9249	167	5	was	be	AUX
easat-9249	167	6	also	also	ADV
easat-9249	167	7	recorded	record	VERB
easat-9249	167	8	in	in	ADP
easat-9249	167	9	bloemfontein	bloemfontein	NOUN
easat-9249	167	10	by	by	ADP
easat-9249	167	11	all	all	DET
easat-9249	167	12	models	model	NOUN
easat-9249	167	13	.	.	PUNCT
easat-9249	168	1	bochenek	bochenek	NOUN
easat-9249	168	2	and	and	CCONJ
easat-9249	168	3	ustrnul	ustrnul	VERB
easat-9249	168	4	[	[	X
easat-9249	168	5	6	6	NUM
easat-9249	168	6	]	]	PUNCT
easat-9249	168	7	reported	report	VERB
easat-9249	168	8	that	that	SCONJ
easat-9249	168	9	rainfall	rainfall	NOUN
easat-9249	168	10	in	in	ADP
easat-9249	168	11	bloemfontein	bloemfontein	NOUN
easat-9249	168	12	in	in	ADP
easat-9249	168	13	2021	2021	NUM
easat-9249	168	14	increased	increase	VERB
easat-9249	168	15	by	by	ADP
easat-9249	168	16	about	about	ADV
easat-9249	168	17	150	150	NUM
easat-9249	168	18	mm	mm	NOUN
easat-9249	168	19	compared	compare	VERB
easat-9249	168	20	to	to	ADP
easat-9249	168	21	the	the	DET
easat-9249	168	22	decadal	decadal	NOUN
easat-9249	168	23	average	average	NOUN
easat-9249	168	24	.	.	PUNCT
easat-9249	169	1	although	although	SCONJ
easat-9249	169	2	a	a	DET
easat-9249	169	3	similar	similar	ADJ
easat-9249	169	4	increase	increase	NOUN
easat-9249	169	5	was	be	AUX
easat-9249	169	6	experienced	experience	VERB
easat-9249	169	7	in	in	ADP
easat-9249	169	8	welkom	welkom	NOUN
easat-9249	169	9	,	,	PUNCT
easat-9249	169	10	all	all	DET
easat-9249	169	11	the	the	DET
easat-9249	169	12	models	model	NOUN
easat-9249	169	13	could	could	AUX
easat-9249	169	14	predict	predict	VERB
easat-9249	169	15	the	the	DET
easat-9249	169	16	spike	spike	NOUN
easat-9249	169	17	.	.	PUNCT
easat-9249	170	1	however	however	ADV
easat-9249	170	2	,	,	PUNCT
easat-9249	170	3	none	none	NOUN
easat-9249	170	4	of	of	ADP
easat-9249	170	5	the	the	DET
easat-9249	170	6	models	model	NOUN
easat-9249	170	7	could	could	AUX
easat-9249	170	8	accurately	accurately	ADV
easat-9249	170	9	estimate	estimate	VERB
easat-9249	170	10	the	the	DET
easat-9249	170	11	rainfall	rainfall	NOUN
easat-9249	170	12	received	receive	VERB
easat-9249	170	13	.	.	PUNCT
easat-9249	171	1	this	this	DET
easat-9249	171	2	pattern	pattern	NOUN
easat-9249	171	3	of	of	ADP
easat-9249	171	4	high	high	ADJ
easat-9249	171	5	rainfall	rainfall	NOUN
easat-9249	171	6	in	in	ADP
easat-9249	171	7	2021/2022	2021/2022	NUM
easat-9249	171	8	and	and	CCONJ
easat-9249	171	9	underestimation	underestimation	NOUN
easat-9249	171	10	of	of	ADP
easat-9249	171	11	the	the	DET
easat-9249	171	12	model	model	NOUN
easat-9249	171	13	was	be	AUX
easat-9249	171	14	expected	expect	VERB
easat-9249	171	15	in	in	ADP
easat-9249	171	16	almost	almost	ADV
easat-9249	171	17	all	all	PRON
easat-9249	171	18	locations	location	NOUN
easat-9249	171	19	as	as	SCONJ
easat-9249	171	20	south	south	PROPN
easat-9249	171	21	africa	africa	PROPN
easat-9249	171	22	received	receive	VERB
easat-9249	171	23	above	above	ADP
easat-9249	171	24	-	-	PUNCT
easat-9249	171	25	normal	normal	ADJ
easat-9249	171	26	annual	annual	ADJ
easat-9249	171	27	rainfall	rainfall	NOUN
easat-9249	171	28	.	.	PUNCT
easat-9249	172	1	this	this	PRON
easat-9249	172	2	was	be	AUX
easat-9249	172	3	attributed	attribute	VERB
easat-9249	172	4	to	to	ADP
easat-9249	172	5	the	the	DET
easat-9249	172	6	el	el	PROPN
easat-9249	172	7	ninosouthern	ninosouthern	VERB
easat-9249	172	8	oscillation	oscillation	NOUN
easat-9249	172	9	(	(	PUNCT
easat-9249	172	10	enso	enso	PROPN
easat-9249	172	11	)	)	PUNCT
easat-9249	172	12	being	be	AUX
easat-9249	172	13	in	in	ADP
easat-9249	172	14	a	a	DET
easat-9249	172	15	la	la	X
easat-9249	172	16	nina	nina	PROPN
easat-9249	172	17	phase	phase	NOUN
easat-9249	172	18	.	.	PUNCT
easat-9249	173	1	sivakumar	sivakumar	PROPN
easat-9249	173	2	and	and	CCONJ
easat-9249	173	3	fazel	fazel	NOUN
easat-9249	173	4	-	-	PUNCT
easat-9249	173	5	rastgar	rastgar	NOUN
easat-9249	173	6	[	[	X
easat-9249	173	7	16	16	NUM
easat-9249	173	8	]	]	PUNCT
easat-9249	173	9	revealed	reveal	VERB
easat-9249	173	10	the	the	DET
easat-9249	173	11	presence	presence	NOUN
easat-9249	173	12	of	of	ADP
easat-9249	173	13	an	an	DET
easat-9249	173	14	active	active	ADJ
easat-9249	173	15	frontal	frontal	ADJ
easat-9249	173	16	system	system	NOUN
easat-9249	173	17	with	with	ADP
easat-9249	173	18	continuous	continuous	ADJ
easat-9249	173	19	rainfall	rainfall	NOUN
easat-9249	173	20	in	in	ADP
easat-9249	173	21	2022	2022	NUM
easat-9249	173	22	.	.	PUNCT
easat-9249	174	1	they	they	PRON
easat-9249	174	2	also	also	ADV
easat-9249	174	3	attributed	attribute	VERB
easat-9249	174	4	the	the	DET
easat-9249	174	5	increase	increase	NOUN
easat-9249	174	6	to	to	ADP
easat-9249	174	7	the	the	DET
easat-9249	174	8	injection	injection	NOUN
easat-9249	174	9	of	of	ADP
easat-9249	174	10	high	high	ADJ
easat-9249	174	11	humidity	humidity	NOUN
easat-9249	174	12	from	from	ADP
easat-9249	174	13	extended	extended	ADJ
easat-9249	174	14	warmer	warm	ADJ
easat-9249	174	15	isotherms	isotherm	NOUN
easat-9249	174	16	.	.	PUNCT
easat-9249	175	1	table	table	NOUN
easat-9249	175	2	2	2	NUM
easat-9249	175	3	.	.	PUNCT
easat-9249	175	4	table	table	NOUN
easat-9249	175	5	showing	show	VERB
easat-9249	175	6	model	model	NOUN
easat-9249	175	7	evaluation	evaluation	NOUN
easat-9249	175	8	metrics	metric	NOUN
easat-9249	175	9	for	for	ADP
easat-9249	175	10	cold	cold	ADJ
easat-9249	175	11	and	and	CCONJ
easat-9249	175	12	semi	semi	ADJ
easat-9249	175	13	-	-	ADJ
easat-9249	175	14	arid	arid	ADJ
easat-9249	175	15	steppe	steppe	NOUN
easat-9249	175	16	climate	climate	NOUN
easat-9249	175	17	classification	classification	NOUN
easat-9249	175	18	(	(	PUNCT
easat-9249	175	19	bloemfontein	bloemfontein	NOUN
easat-9249	175	20	,	,	PUNCT
easat-9249	175	21	springfontein	springfontein	NOUN
easat-9249	175	22	,	,	PUNCT
easat-9249	175	23	and	and	CCONJ
easat-9249	175	24	welkom	welkom	NOUN
easat-9249	175	25	)	)	PUNCT
easat-9249	175	26	.	.	PUNCT
easat-9249	176	1	linear	linear	ADJ
easat-9249	176	2	regression	regression	NOUN
easat-9249	176	3	locations	location	NOUN
easat-9249	176	4	mae	mae	PROPN
easat-9249	176	5	mse	mse	PROPN
easat-9249	176	6	rmse	rmse	PROPN
easat-9249	176	7	r	r	NOUN
easat-9249	176	8	r	r	NOUN
easat-9249	176	9	-	-	PUNCT
easat-9249	176	10	square	square	ADJ
easat-9249	176	11	bloemfontein	bloemfontein	NOUN
easat-9249	176	12	0.95	0.95	NUM
easat-9249	176	13	1.40	1.40	NUM
easat-9249	176	14	1.18	1.18	NUM
easat-9249	176	15	0.76	0.76	NUM
easat-9249	176	16	0.80	0.80	NUM
easat-9249	176	17	springfontein	springfontein	NOUN
easat-9249	176	18	0.80	0.80	NUM
easat-9249	176	19	0.98	0.98	NUM
easat-9249	176	20	0.99	0.99	NUM
easat-9249	176	21	0.72	0.72	NUM
easat-9249	176	22	0.76	0.76	NUM
easat-9249	176	23	welkom	welkom	NOUN
easat-9249	176	24	1.01	1.01	NUM
easat-9249	176	25	1.70	1.70	NUM
easat-9249	176	26	1.30	1.30	NUM
easat-9249	176	27	0.76	0.76	NUM
easat-9249	176	28	0.82	0.82	NUM
easat-9249	176	29	random	random	ADJ
easat-9249	176	30	forest	forest	NOUN
easat-9249	176	31	bloemfontein	bloemfontein	NOUN
easat-9249	176	32	1.07	1.07	NUM
easat-9249	176	33	3.13	3.13	NUM
easat-9249	176	34	1.77	1.77	NUM
easat-9249	176	35	0.76	0.76	NUM
easat-9249	176	36	0.49	0.49	NUM
easat-9249	176	37	springfontein	springfontein	NOUN
easat-9249	176	38	1.11	1.11	NUM
easat-9249	176	39	3.82	3.82	NUM
easat-9249	176	40	1.96	1.96	NUM
easat-9249	176	41	0.67	0.67	NUM
easat-9249	176	42	0.39	0.39	NUM
easat-9249	176	43	welkom	welkom	NOUN
easat-9249	176	44	1.06	1.06	NUM
easat-9249	176	45	2.53	2.53	NUM
easat-9249	176	46	1.59	1.59	NUM
easat-9249	176	47	0.74	0.74	NUM
easat-9249	176	48	0.51	0.51	NUM
easat-9249	176	49	support	support	NOUN
easat-9249	176	50	vector	vector	NOUN
easat-9249	176	51	machine	machine	NOUN
easat-9249	176	52	bloemfontein	bloemfontein	PROPN
easat-9249	176	53	1.10	1.10	NUM
easat-9249	176	54	3.48	3.48	NUM
easat-9249	176	55	1.87	1.87	NUM
easat-9249	176	56	0.79	0.79	NUM
easat-9249	176	57	0.44	0.44	NUM
easat-9249	176	58	springfontein	springfontein	NOUN
easat-9249	176	59	1.07	1.07	NUM
easat-9249	176	60	3.69	3.69	NUM
easat-9249	176	61	1.92	1.92	NUM
easat-9249	176	62	0.74	0.74	NUM
easat-9249	176	63	0.41	0.41	NUM
easat-9249	176	64	welkom	welkom	NOUN
easat-9249	176	65	1.06	1.06	NUM
easat-9249	176	66	2.69	2.69	NUM
easat-9249	176	67	1.64	1.64	NUM
easat-9249	176	68	0.80	0.80	NUM
easat-9249	176	69	0.48	0.48	NUM
easat-9249	176	70	ridge	ridge	NOUN
easat-9249	176	71	and	and	CCONJ
easat-9249	176	72	lasso	lasso	NOUN
easat-9249	176	73	bloemfontein	bloemfontein	NOUN
easat-9249	176	74	1.24	1.24	NUM
easat-9249	176	75	3.63	3.63	NUM
easat-9249	176	76	1.90	1.90	NUM
easat-9249	176	77	0.75	0.75	NUM
easat-9249	176	78	0.69	0.69	NUM
easat-9249	176	79	springfontein	springfontein	NOUN
easat-9249	176	80	1.23	1.23	NUM
easat-9249	176	81	4.09	4.09	NUM
easat-9249	176	82	2.02	2.02	NUM
easat-9249	176	83	0.69	0.69	NUM
easat-9249	176	84	0.69	0.69	NUM
easat-9249	176	85	welkom	welkom	NOUN
easat-9249	176	86	1.12	1.12	NUM
easat-9249	176	87	2.64	2.64	NUM
easat-9249	176	88	1.62	1.62	NUM
easat-9249	176	89	0.79	0.79	NUM
easat-9249	176	90	0.67	0.67	NUM
easat-9249	176	91	156	156	NUM
easat-9249	176	92	edelweiss	edelweiss	PROPN
easat-9249	176	93	applied	apply	VERB
easat-9249	176	94	science	science	NOUN
easat-9249	176	95	and	and	CCONJ
easat-9249	176	96	technology	technology	NOUN
easat-9249	176	97	issn	issn	PROPN
easat-9249	176	98	:	:	PUNCT
easat-9249	176	99	2576	2576	NUM
easat-9249	176	100	-	-	SYM
easat-9249	176	101	8484	8484	NUM
easat-9249	176	102	vol	vol	NOUN
easat-9249	176	103	.	.	PROPN
easat-9249	177	1	9	9	NUM
easat-9249	177	2	,	,	PUNCT
easat-9249	177	3	no	no	INTJ
easat-9249	177	4	.	.	NOUN
easat-9249	177	5	8	8	NUM
easat-9249	177	6	:	:	SYM
easat-9249	177	7	148	148	NUM
easat-9249	177	8	-	-	SYM
easat-9249	177	9	178	178	NUM
easat-9249	177	10	,	,	PUNCT
easat-9249	177	11	2025	2025	NUM
easat-9249	177	12	doi	doi	NOUN
easat-9249	177	13	:	:	PUNCT
easat-9249	177	14	10.55214/2576	10.55214/2576	NUM
easat-9249	177	15	-	-	SYM
easat-9249	177	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	177	17	©	©	ADP
easat-9249	177	18	2025	2025	NUM
easat-9249	177	19	by	by	ADP
easat-9249	177	20	the	the	DET
easat-9249	177	21	authors	author	NOUN
easat-9249	177	22	;	;	PUNCT
easat-9249	177	23	licensee	licensee	PROPN
easat-9249	177	24	learning	learning	NOUN
easat-9249	177	25	gate	gate	NOUN
easat-9249	177	26	0	0	NUM
easat-9249	177	27	5	5	NUM
easat-9249	177	28	10	10	NUM
easat-9249	177	29	15	15	NUM
easat-9249	177	30	2015	2015	NUM
easat-9249	177	31	2016	2016	NUM
easat-9249	177	32	2017	2017	NUM
easat-9249	177	33	2018	2018	NUM
easat-9249	177	34	2019	2019	NUM
easat-9249	177	35	2020	2020	NUM
easat-9249	177	36	2021	2021	NUM
easat-9249	177	37	2022	2022	NUM
easat-9249	177	38	2023	2023	NUM
easat-9249	177	39	bloemfontein	bloemfontein	NOUN
easat-9249	177	40	lr	lr	X
easat-9249	177	41	actual	actual	ADJ
easat-9249	177	42	predicted	predict	VERB
easat-9249	177	43	0	0	NUM
easat-9249	177	44	5	5	NUM
easat-9249	177	45	10	10	NUM
easat-9249	177	46	2015	2015	NUM
easat-9249	177	47	2016	2016	NUM
easat-9249	177	48	2017	2017	NUM
easat-9249	177	49	2018	2018	NUM
easat-9249	177	50	2019	2019	NUM
easat-9249	177	51	2020	2020	NUM
easat-9249	177	52	2021	2021	NUM
easat-9249	177	53	2022	2022	NUM
easat-9249	177	54	2023	2023	NUM
easat-9249	177	55	bloemfontein	bloemfontein	NOUN
easat-9249	177	56	rf	rf	VERB
easat-9249	177	57	actual	actual	ADJ
easat-9249	177	58	predicted	predict	VERB
easat-9249	177	59	0	0	NUM
easat-9249	177	60	5	5	NUM
easat-9249	177	61	10	10	NUM
easat-9249	177	62	15	15	NUM
easat-9249	177	63	2015	2015	NUM
easat-9249	177	64	2016	2016	NUM
easat-9249	177	65	2017	2017	NUM
easat-9249	177	66	2018	2018	NUM
easat-9249	177	67	2019	2019	NUM
easat-9249	177	68	2020	2020	NUM
easat-9249	177	69	2021	2021	NUM
easat-9249	177	70	2022	2022	NUM
easat-9249	177	71	2023	2023	NUM
easat-9249	177	72	bloemfontein	bloemfontein	NOUN
easat-9249	177	73	svm	svm	PROPN
easat-9249	177	74	actual	actual	ADJ
easat-9249	177	75	predicted	predict	VERB
easat-9249	177	76	157	157	NUM
easat-9249	177	77	edelweiss	edelweiss	PROPN
easat-9249	177	78	applied	apply	VERB
easat-9249	177	79	science	science	NOUN
easat-9249	177	80	and	and	CCONJ
easat-9249	177	81	technology	technology	NOUN
easat-9249	177	82	issn	issn	PROPN
easat-9249	177	83	:	:	PUNCT
easat-9249	177	84	2576	2576	NUM
easat-9249	177	85	-	-	SYM
easat-9249	177	86	8484	8484	NUM
easat-9249	177	87	vol	vol	NOUN
easat-9249	177	88	.	.	PROPN
easat-9249	178	1	9	9	NUM
easat-9249	178	2	,	,	PUNCT
easat-9249	178	3	no	no	INTJ
easat-9249	178	4	.	.	NOUN
easat-9249	178	5	8	8	NUM
easat-9249	178	6	:	:	SYM
easat-9249	178	7	148	148	NUM
easat-9249	178	8	-	-	SYM
easat-9249	178	9	178	178	NUM
easat-9249	178	10	,	,	PUNCT
easat-9249	178	11	2025	2025	NUM
easat-9249	178	12	doi	doi	NOUN
easat-9249	178	13	:	:	PUNCT
easat-9249	178	14	10.55214/2576	10.55214/2576	NUM
easat-9249	178	15	-	-	SYM
easat-9249	178	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	178	17	©	©	ADP
easat-9249	178	18	2025	2025	NUM
easat-9249	178	19	by	by	ADP
easat-9249	178	20	the	the	DET
easat-9249	178	21	authors	author	NOUN
easat-9249	178	22	;	;	PUNCT
easat-9249	178	23	licensee	licensee	PROPN
easat-9249	178	24	learning	learn	VERB
easat-9249	178	25	gate	gate	NOUN
easat-9249	178	26	-5	-5	ADP
easat-9249	178	27	0	0	NUM
easat-9249	178	28	5	5	NUM
easat-9249	178	29	10	10	NUM
easat-9249	178	30	15	15	NUM
easat-9249	178	31	2015	2015	NUM
easat-9249	178	32	2016	2016	NUM
easat-9249	178	33	2017	2017	NUM
easat-9249	178	34	2018	2018	NUM
easat-9249	178	35	2019	2019	NUM
easat-9249	178	36	2020	2020	NUM
easat-9249	178	37	2021	2021	NUM
easat-9249	178	38	2022	2022	NUM
easat-9249	178	39	2023	2023	NUM
easat-9249	178	40	bloemfontein	bloemfontein	PROPN
easat-9249	178	41	r&l	r&l	PROPN
easat-9249	178	42	actual	actual	ADJ
easat-9249	178	43	predicted	predict	VERB
easat-9249	178	44	-5	-5	PROPN
easat-9249	178	45	0	0	NUM
easat-9249	178	46	5	5	NUM
easat-9249	178	47	10	10	NUM
easat-9249	178	48	15	15	NUM
easat-9249	178	49	20	20	NUM
easat-9249	178	50	2015	2015	NUM
easat-9249	178	51	2016	2016	NUM
easat-9249	178	52	2017	2017	NUM
easat-9249	178	53	2018	2018	NUM
easat-9249	178	54	2019	2019	NUM
easat-9249	178	55	2020	2020	NUM
easat-9249	178	56	2021	2021	NUM
easat-9249	178	57	2022	2022	NUM
easat-9249	178	58	2023	2023	NUM
easat-9249	178	59	springfontein	springfontein	NOUN
easat-9249	179	1	lr	lr	X
easat-9249	179	2	actual	actual	ADJ
easat-9249	179	3	predicted	predict	VERB
easat-9249	179	4	0	0	NUM
easat-9249	179	5	5	5	NUM
easat-9249	179	6	10	10	NUM
easat-9249	179	7	15	15	NUM
easat-9249	179	8	20	20	NUM
easat-9249	179	9	2015	2015	NUM
easat-9249	179	10	2016	2016	NUM
easat-9249	179	11	2017	2017	NUM
easat-9249	179	12	2018	2018	NUM
easat-9249	179	13	2019	2019	NUM
easat-9249	179	14	2020	2020	NUM
easat-9249	179	15	2021	2021	NUM
easat-9249	179	16	2022	2022	NUM
easat-9249	179	17	2023	2023	NUM
easat-9249	179	18	springfontein	springfontein	NOUN
easat-9249	179	19	rf	rf	ADJ
easat-9249	179	20	actual	actual	ADJ
easat-9249	179	21	predicted	predict	VERB
easat-9249	179	22	158	158	NUM
easat-9249	179	23	edelweiss	edelweiss	PROPN
easat-9249	179	24	applied	apply	VERB
easat-9249	179	25	science	science	NOUN
easat-9249	179	26	and	and	CCONJ
easat-9249	179	27	technology	technology	NOUN
easat-9249	179	28	issn	issn	PROPN
easat-9249	179	29	:	:	PUNCT
easat-9249	179	30	2576	2576	NUM
easat-9249	179	31	-	-	SYM
easat-9249	179	32	8484	8484	NUM
easat-9249	179	33	vol	vol	NOUN
easat-9249	179	34	.	.	PROPN
easat-9249	180	1	9	9	NUM
easat-9249	180	2	,	,	PUNCT
easat-9249	180	3	no	no	INTJ
easat-9249	180	4	.	.	NOUN
easat-9249	180	5	8	8	NUM
easat-9249	180	6	:	:	SYM
easat-9249	180	7	148	148	NUM
easat-9249	180	8	-	-	SYM
easat-9249	180	9	178	178	NUM
easat-9249	180	10	,	,	PUNCT
easat-9249	180	11	2025	2025	NUM
easat-9249	180	12	doi	doi	NOUN
easat-9249	180	13	:	:	PUNCT
easat-9249	180	14	10.55214/2576	10.55214/2576	NUM
easat-9249	180	15	-	-	SYM
easat-9249	180	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	180	17	©	©	ADP
easat-9249	180	18	2025	2025	NUM
easat-9249	180	19	by	by	ADP
easat-9249	180	20	the	the	DET
easat-9249	180	21	authors	author	NOUN
easat-9249	180	22	;	;	PUNCT
easat-9249	180	23	licensee	licensee	PROPN
easat-9249	180	24	learning	learn	VERB
easat-9249	180	25	gate	gate	NOUN
easat-9249	180	26	-5	-5	ADP
easat-9249	180	27	0	0	NUM
easat-9249	180	28	5	5	NUM
easat-9249	180	29	10	10	NUM
easat-9249	180	30	15	15	NUM
easat-9249	180	31	20	20	NUM
easat-9249	180	32	2015	2015	NUM
easat-9249	180	33	2016	2016	NUM
easat-9249	180	34	2017	2017	NUM
easat-9249	180	35	2018	2018	NUM
easat-9249	180	36	2019	2019	NUM
easat-9249	180	37	2020	2020	NUM
easat-9249	180	38	2021	2021	NUM
easat-9249	180	39	2022	2022	NUM
easat-9249	180	40	2023	2023	NUM
easat-9249	180	41	springfontein	springfontein	NOUN
easat-9249	180	42	svm	svm	ADJ
easat-9249	180	43	actual	actual	ADJ
easat-9249	180	44	predicted	predict	VERB
easat-9249	180	45	0	0	NUM
easat-9249	180	46	5	5	NUM
easat-9249	180	47	10	10	NUM
easat-9249	180	48	15	15	NUM
easat-9249	180	49	20	20	NUM
easat-9249	180	50	2015	2015	NUM
easat-9249	180	51	2016	2016	NUM
easat-9249	180	52	2017	2017	NUM
easat-9249	180	53	2018	2018	NUM
easat-9249	180	54	2019	2019	NUM
easat-9249	180	55	2020	2020	NUM
easat-9249	180	56	2021	2021	NUM
easat-9249	180	57	2022	2022	NUM
easat-9249	180	58	2023	2023	NUM
easat-9249	180	59	springfontein	springfontein	NOUN
easat-9249	180	60	r&l	r&l	PROPN
easat-9249	180	61	actual	actual	ADJ
easat-9249	180	62	predicted	predict	VERB
easat-9249	180	63	159	159	NUM
easat-9249	180	64	edelweiss	edelweiss	PROPN
easat-9249	180	65	applied	apply	VERB
easat-9249	180	66	science	science	NOUN
easat-9249	180	67	and	and	CCONJ
easat-9249	180	68	technology	technology	NOUN
easat-9249	180	69	issn	issn	PROPN
easat-9249	180	70	:	:	PUNCT
easat-9249	180	71	2576	2576	NUM
easat-9249	180	72	-	-	SYM
easat-9249	180	73	8484	8484	NUM
easat-9249	180	74	vol	vol	NOUN
easat-9249	180	75	.	.	PROPN
easat-9249	181	1	9	9	NUM
easat-9249	181	2	,	,	PUNCT
easat-9249	181	3	no	no	INTJ
easat-9249	181	4	.	.	NOUN
easat-9249	181	5	8	8	NUM
easat-9249	181	6	:	:	SYM
easat-9249	181	7	148	148	NUM
easat-9249	181	8	-	-	SYM
easat-9249	181	9	178	178	NUM
easat-9249	181	10	,	,	PUNCT
easat-9249	181	11	2025	2025	NUM
easat-9249	181	12	doi	doi	NOUN
easat-9249	181	13	:	:	PUNCT
easat-9249	181	14	10.55214/2576	10.55214/2576	NUM
easat-9249	181	15	-	-	SYM
easat-9249	181	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	181	17	©	©	ADP
easat-9249	181	18	2025	2025	NUM
easat-9249	181	19	by	by	ADP
easat-9249	181	20	the	the	DET
easat-9249	181	21	authors	author	NOUN
easat-9249	181	22	;	;	PUNCT
easat-9249	181	23	licensee	licensee	PROPN
easat-9249	181	24	learning	learning	NOUN
easat-9249	181	25	gate	gate	NOUN
easat-9249	181	26	0	0	NUM
easat-9249	181	27	2	2	NUM
easat-9249	181	28	4	4	NUM
easat-9249	181	29	6	6	NUM
easat-9249	181	30	8	8	NUM
easat-9249	181	31	10	10	NUM
easat-9249	181	32	12	12	NUM
easat-9249	181	33	2015	2015	NUM
easat-9249	181	34	2016	2016	NUM
easat-9249	181	35	2017	2017	NUM
easat-9249	181	36	2018	2018	NUM
easat-9249	181	37	2019	2019	NUM
easat-9249	181	38	2020	2020	NUM
easat-9249	181	39	2021	2021	NUM
easat-9249	181	40	2022	2022	NUM
easat-9249	181	41	2023	2023	NUM
easat-9249	181	42	welkom	welkom	NOUN
easat-9249	181	43	lr	lr	X
easat-9249	181	44	actual	actual	ADJ
easat-9249	181	45	predicted	predict	VERB
easat-9249	181	46	0	0	NUM
easat-9249	181	47	2	2	NUM
easat-9249	181	48	4	4	NUM
easat-9249	181	49	6	6	NUM
easat-9249	181	50	8	8	NUM
easat-9249	181	51	10	10	NUM
easat-9249	181	52	12	12	NUM
easat-9249	181	53	2015	2015	NUM
easat-9249	181	54	2016	2016	NUM
easat-9249	181	55	2017	2017	NUM
easat-9249	181	56	2018	2018	NUM
easat-9249	181	57	2019	2019	NUM
easat-9249	181	58	2020	2020	NUM
easat-9249	181	59	2021	2021	NUM
easat-9249	181	60	2022	2022	NUM
easat-9249	181	61	2023	2023	NUM
easat-9249	181	62	welkom	welkom	NOUN
easat-9249	181	63	rf	rf	VERB
easat-9249	181	64	actual	actual	ADJ
easat-9249	181	65	predicted	predict	VERB
easat-9249	181	66	0	0	NUM
easat-9249	181	67	2	2	NUM
easat-9249	181	68	4	4	NUM
easat-9249	181	69	6	6	NUM
easat-9249	181	70	8	8	NUM
easat-9249	181	71	10	10	NUM
easat-9249	181	72	12	12	NUM
easat-9249	181	73	2015	2015	NUM
easat-9249	181	74	2016	2016	NUM
easat-9249	181	75	2017	2017	NUM
easat-9249	181	76	2018	2018	NUM
easat-9249	181	77	2019	2019	NUM
easat-9249	181	78	2020	2020	NUM
easat-9249	181	79	2021	2021	NUM
easat-9249	181	80	2022	2022	NUM
easat-9249	181	81	2023	2023	NUM
easat-9249	181	82	welkom	welkom	NOUN
easat-9249	181	83	svm	svm	PROPN
easat-9249	181	84	actual	actual	ADJ
easat-9249	181	85	predicted	predict	VERB
easat-9249	181	86	160	160	NUM
easat-9249	181	87	edelweiss	edelweiss	PROPN
easat-9249	181	88	applied	apply	VERB
easat-9249	181	89	science	science	NOUN
easat-9249	181	90	and	and	CCONJ
easat-9249	181	91	technology	technology	NOUN
easat-9249	181	92	issn	issn	PROPN
easat-9249	181	93	:	:	PUNCT
easat-9249	181	94	2576	2576	NUM
easat-9249	181	95	-	-	SYM
easat-9249	181	96	8484	8484	NUM
easat-9249	181	97	vol	vol	NOUN
easat-9249	181	98	.	.	PROPN
easat-9249	182	1	9	9	NUM
easat-9249	182	2	,	,	PUNCT
easat-9249	182	3	no	no	INTJ
easat-9249	182	4	.	.	NOUN
easat-9249	182	5	8	8	NUM
easat-9249	182	6	:	:	SYM
easat-9249	182	7	148	148	NUM
easat-9249	182	8	-	-	SYM
easat-9249	182	9	178	178	NUM
easat-9249	182	10	,	,	PUNCT
easat-9249	182	11	2025	2025	NUM
easat-9249	182	12	doi	doi	NOUN
easat-9249	182	13	:	:	PUNCT
easat-9249	182	14	10.55214/2576	10.55214/2576	NUM
easat-9249	182	15	-	-	SYM
easat-9249	182	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	182	17	©	©	ADP
easat-9249	182	18	2025	2025	NUM
easat-9249	182	19	by	by	ADP
easat-9249	182	20	the	the	DET
easat-9249	182	21	authors	author	NOUN
easat-9249	182	22	;	;	PUNCT
easat-9249	183	1	licensee	licensee	PROPN
easat-9249	183	2	learning	learn	VERB
easat-9249	183	3	gate	gate	NOUN
easat-9249	183	4	figure	figure	NOUN
easat-9249	183	5	2	2	NUM
easat-9249	183	6	.	.	PUNCT
easat-9249	183	7	shows	show	VERB
easat-9249	183	8	the	the	DET
easat-9249	183	9	predicted	predict	VERB
easat-9249	183	10	and	and	CCONJ
easat-9249	183	11	actual	actual	ADJ
easat-9249	183	12	rainfall	rainfall	NOUN
easat-9249	183	13	for	for	ADP
easat-9249	183	14	models	model	NOUN
easat-9249	183	15	used	use	VERB
easat-9249	183	16	and	and	CCONJ
easat-9249	183	17	locations	location	NOUN
easat-9249	183	18	under	under	ADP
easat-9249	183	19	the	the	DET
easat-9249	183	20	cold	cold	ADJ
easat-9249	183	21	and	and	CCONJ
easat-9249	183	22	semi	semi	ADJ
easat-9249	183	23	-	-	ADJ
easat-9249	183	24	arid	arid	ADJ
easat-9249	183	25	steppe	steppe	NOUN
easat-9249	183	26	climate	climate	NOUN
easat-9249	183	27	classification	classification	NOUN
easat-9249	183	28	.	.	PUNCT
easat-9249	184	1	3.2.2	3.2.2	X
easat-9249	184	2	.	.	PUNCT
easat-9249	184	3	cold	cold	ADJ
easat-9249	184	4	arid	arid	PROPN
easat-9249	184	5	desert	desert	PROPN
easat-9249	184	6	for	for	ADP
easat-9249	184	7	the	the	DET
easat-9249	184	8	cold	cold	ADJ
easat-9249	184	9	,	,	PUNCT
easat-9249	184	10	arid	arid	NOUN
easat-9249	184	11	desert	desert	PROPN
easat-9249	184	12	,	,	PUNCT
easat-9249	184	13	the	the	DET
easat-9249	184	14	support	support	NOUN
easat-9249	184	15	vector	vector	NOUN
easat-9249	184	16	machine	machine	NOUN
easat-9249	184	17	had	have	VERB
easat-9249	184	18	the	the	DET
easat-9249	184	19	highest	high	ADJ
easat-9249	184	20	correlation	correlation	NOUN
easat-9249	184	21	coefficient	coefficient	NOUN
easat-9249	184	22	of	of	ADP
easat-9249	184	23	0.72	0.72	NUM
easat-9249	184	24	in	in	ADP
easat-9249	184	25	bristown	bristown	NOUN
easat-9249	184	26	,	,	PUNCT
easat-9249	184	27	followed	follow	VERB
easat-9249	184	28	by	by	ADP
easat-9249	184	29	random	random	ADJ
easat-9249	184	30	forest	forest	NOUN
easat-9249	184	31	model	model	NOUN
easat-9249	184	32	with	with	ADP
easat-9249	184	33	a	a	DET
easat-9249	184	34	coefficient	coefficient	NOUN
easat-9249	184	35	of	of	ADP
easat-9249	184	36	0.71	0.71	NUM
easat-9249	184	37	while	while	SCONJ
easat-9249	184	38	those	those	PRON
easat-9249	184	39	of	of	ADP
easat-9249	184	40	linear	linear	PROPN
easat-9249	184	41	regression	regression	NOUN
easat-9249	184	42	,	,	PUNCT
easat-9249	184	43	ridge	ridge	NOUN
easat-9249	184	44	and	and	CCONJ
easat-9249	184	45	lasso	lasso	NOUN
easat-9249	184	46	were	be	AUX
easat-9249	184	47	0.66	0.66	NUM
easat-9249	184	48	and	and	CCONJ
easat-9249	184	49	0.65	0.65	NUM
easat-9249	184	50	,	,	PUNCT
easat-9249	184	51	respectively	respectively	ADV
easat-9249	184	52	,	,	PUNCT
easat-9249	184	53	as	as	SCONJ
easat-9249	184	54	shown	show	VERB
easat-9249	184	55	in	in	ADP
easat-9249	184	56	table	table	NOUN
easat-9249	184	57	3	3	NUM
easat-9249	184	58	.	.	PUNCT
easat-9249	184	59	similarly	similarly	ADV
easat-9249	184	60	,	,	PUNCT
easat-9249	184	61	the	the	DET
easat-9249	184	62	support	support	NOUN
easat-9249	184	63	vector	vector	NOUN
easat-9249	184	64	machine	machine	NOUN
easat-9249	184	65	model	model	NOUN
easat-9249	184	66	had	have	VERB
easat-9249	184	67	a	a	DET
easat-9249	184	68	higher	high	ADJ
easat-9249	184	69	correlation	correlation	NOUN
easat-9249	184	70	coefficient	coefficient	NOUN
easat-9249	184	71	than	than	ADP
easat-9249	184	72	other	other	ADJ
easat-9249	184	73	models	model	NOUN
easat-9249	184	74	for	for	ADP
easat-9249	184	75	beaufort	beaufort	PROPN
easat-9249	184	76	west	west	PROPN
easat-9249	184	77	,	,	PUNCT
easat-9249	184	78	which	which	PRON
easat-9249	184	79	corresponded	correspond	VERB
easat-9249	184	80	to	to	ADP
easat-9249	184	81	0.65	0.65	NUM
easat-9249	184	82	,	,	PUNCT
easat-9249	184	83	closely	closely	ADV
easat-9249	184	84	followed	follow	VERB
easat-9249	184	85	by	by	ADP
easat-9249	184	86	ridge	ridge	NOUN
easat-9249	184	87	and	and	CCONJ
easat-9249	184	88	lasso	lasso	NOUN
easat-9249	184	89	,	,	PUNCT
easat-9249	184	90	and	and	CCONJ
easat-9249	184	91	the	the	DET
easat-9249	184	92	linear	linear	ADJ
easat-9249	184	93	regression	regression	NOUN
easat-9249	184	94	corresponding	correspond	VERB
easat-9249	184	95	to	to	ADP
easat-9249	184	96	0.64	0.64	NUM
easat-9249	184	97	and	and	CCONJ
easat-9249	184	98	0.60	0.60	NUM
easat-9249	184	99	,	,	PUNCT
easat-9249	184	100	respectively	respectively	ADV
easat-9249	184	101	.	.	PUNCT
easat-9249	185	1	however	however	ADV
easat-9249	185	2	,	,	PUNCT
easat-9249	185	3	for	for	ADP
easat-9249	185	4	alexander	alexander	PROPN
easat-9249	185	5	bay	bay	PROPN
easat-9249	185	6	,	,	PUNCT
easat-9249	185	7	none	none	NOUN
easat-9249	185	8	of	of	ADP
easat-9249	185	9	the	the	DET
easat-9249	185	10	models	model	NOUN
easat-9249	185	11	had	have	VERB
easat-9249	185	12	a	a	DET
easat-9249	185	13	correlation	correlation	NOUN
easat-9249	185	14	coefficient	coefficient	NOUN
easat-9249	185	15	higher	high	ADJ
easat-9249	185	16	than	than	ADP
easat-9249	185	17	0.15	0.15	NUM
easat-9249	185	18	nor	nor	CCONJ
easat-9249	185	19	a	a	DET
easat-9249	185	20	coefficient	coefficient	NOUN
easat-9249	185	21	of	of	ADP
easat-9249	185	22	determination	determination	NOUN
easat-9249	185	23	higher	high	ADJ
easat-9249	185	24	than	than	ADP
easat-9249	185	25	0.14	0.14	NUM
easat-9249	185	26	.	.	PUNCT
easat-9249	186	1	the	the	DET
easat-9249	186	2	reason	reason	NOUN
easat-9249	186	3	for	for	ADP
easat-9249	186	4	this	this	PRON
easat-9249	186	5	is	be	AUX
easat-9249	186	6	yet	yet	ADV
easat-9249	186	7	to	to	PART
easat-9249	186	8	be	be	AUX
easat-9249	186	9	determined	determine	VERB
easat-9249	186	10	and	and	CCONJ
easat-9249	186	11	will	will	AUX
easat-9249	186	12	be	be	AUX
easat-9249	186	13	further	far	ADV
easat-9249	186	14	examined	examine	VERB
easat-9249	186	15	.	.	PUNCT
easat-9249	187	1	perhaps	perhaps	ADV
easat-9249	187	2	it	it	PRON
easat-9249	187	3	being	be	AUX
easat-9249	187	4	officially	officially	ADV
easat-9249	187	5	the	the	DET
easat-9249	187	6	driest	dry	ADJ
easat-9249	187	7	town	town	NOUN
easat-9249	187	8	in	in	ADP
easat-9249	187	9	south	south	PROPN
easat-9249	187	10	africa	africa	PROPN
easat-9249	187	11	may	may	AUX
easat-9249	187	12	contribute	contribute	VERB
easat-9249	187	13	partly	partly	ADV
easat-9249	187	14	to	to	ADP
easat-9249	187	15	this	this	PRON
easat-9249	187	16	[	[	X
easat-9249	187	17	17	17	NUM
easat-9249	187	18	]	]	PUNCT
easat-9249	187	19	.	.	PUNCT
easat-9249	188	1	the	the	DET
easat-9249	188	2	models	model	NOUN
easat-9249	188	3	showed	show	VERB
easat-9249	188	4	a	a	DET
easat-9249	188	5	pattern	pattern	NOUN
easat-9249	188	6	of	of	ADP
easat-9249	188	7	poor	poor	ADJ
easat-9249	188	8	prediction	prediction	NOUN
easat-9249	188	9	in	in	ADP
easat-9249	188	10	regions	region	NOUN
easat-9249	188	11	with	with	ADP
easat-9249	188	12	low	low	ADJ
easat-9249	188	13	rainfall	rainfall	NOUN
easat-9249	188	14	[	[	X
easat-9249	188	15	18	18	NUM
easat-9249	188	16	]	]	PUNCT
easat-9249	188	17	.	.	PUNCT
easat-9249	189	1	alexander	alexander	PROPN
easat-9249	189	2	bay	bay	PROPN
easat-9249	189	3	receives	receive	VERB
easat-9249	189	4	an	an	DET
easat-9249	189	5	annual	annual	ADJ
easat-9249	189	6	rainfall	rainfall	NOUN
easat-9249	189	7	of	of	ADP
easat-9249	189	8	less	less	ADJ
easat-9249	189	9	than	than	ADP
easat-9249	189	10	51	51	NUM
easat-9249	189	11	mm	mm	NOUN
easat-9249	189	12	,	,	PUNCT
easat-9249	189	13	with	with	ADP
easat-9249	189	14	the	the	DET
easat-9249	189	15	cold	cold	PROPN
easat-9249	189	16	benguela	benguela	PROPN
easat-9249	189	17	current	current	ADJ
easat-9249	189	18	influencing	influence	VERB
easat-9249	189	19	its	its	PRON
easat-9249	189	20	climate	climate	NOUN
easat-9249	189	21	.	.	PUNCT
easat-9249	190	1	the	the	DET
easat-9249	190	2	mean	mean	ADJ
easat-9249	190	3	absolute	absolute	ADJ
easat-9249	190	4	error	error	NOUN
easat-9249	190	5	,	,	PUNCT
easat-9249	190	6	mean	mean	ADJ
easat-9249	190	7	square	square	NOUN
easat-9249	190	8	error	error	NOUN
easat-9249	190	9	,	,	PUNCT
easat-9249	190	10	and	and	CCONJ
easat-9249	190	11	the	the	DET
easat-9249	190	12	root	root	NOUN
easat-9249	190	13	mean	mean	VERB
easat-9249	190	14	square	square	ADJ
easat-9249	190	15	error	error	NOUN
easat-9249	190	16	for	for	ADP
easat-9249	190	17	the	the	DET
easat-9249	190	18	random	random	ADJ
easat-9249	190	19	forest	forest	NOUN
easat-9249	190	20	,	,	PUNCT
easat-9249	190	21	support	support	NOUN
easat-9249	190	22	vector	vector	NOUN
easat-9249	190	23	machine	machine	NOUN
easat-9249	190	24	,	,	PUNCT
easat-9249	190	25	ridge	ridge	PROPN
easat-9249	190	26	,	,	PUNCT
easat-9249	190	27	and	and	CCONJ
easat-9249	190	28	lasso	lasso	NOUN
easat-9249	190	29	were	be	AUX
easat-9249	190	30	all	all	ADV
easat-9249	190	31	similar	similar	ADJ
easat-9249	190	32	for	for	ADP
easat-9249	190	33	all	all	DET
easat-9249	190	34	locations	location	NOUN
easat-9249	190	35	;	;	PUNCT
easat-9249	190	36	however	however	ADV
easat-9249	190	37	,	,	PUNCT
easat-9249	190	38	the	the	DET
easat-9249	190	39	values	value	NOUN
easat-9249	190	40	were	be	AUX
easat-9249	190	41	higher	high	ADJ
easat-9249	190	42	for	for	ADP
easat-9249	190	43	linear	linear	ADJ
easat-9249	190	44	regression	regression	NOUN
easat-9249	190	45	in	in	ADP
easat-9249	190	46	all	all	DET
easat-9249	190	47	locations	location	NOUN
easat-9249	190	48	.	.	PUNCT
easat-9249	191	1	for	for	ADP
easat-9249	191	2	ridge	ridge	NOUN
easat-9249	191	3	and	and	CCONJ
easat-9249	191	4	lasso	lasso	PROPN
easat-9249	191	5	,	,	PUNCT
easat-9249	191	6	beaufort	beaufort	PROPN
easat-9249	191	7	west	west	PROPN
easat-9249	191	8	had	have	VERB
easat-9249	191	9	a	a	DET
easat-9249	191	10	coefficient	coefficient	NOUN
easat-9249	191	11	of	of	ADP
easat-9249	191	12	determination	determination	NOUN
easat-9249	191	13	of	of	ADP
easat-9249	191	14	0.86	0.86	NUM
easat-9249	191	15	and	and	CCONJ
easat-9249	191	16	a	a	DET
easat-9249	191	17	correlation	correlation	NOUN
easat-9249	191	18	coefficient	coefficient	NOUN
easat-9249	191	19	of	of	ADP
easat-9249	191	20	0.64	0.64	NUM
easat-9249	191	21	.	.	PUNCT
easat-9249	192	1	this	this	PRON
easat-9249	192	2	is	be	AUX
easat-9249	192	3	great	great	ADJ
easat-9249	192	4	as	as	ADP
easat-9249	192	5	trend	trend	NOUN
easat-9249	192	6	prediction	prediction	NOUN
easat-9249	192	7	and	and	CCONJ
easat-9249	192	8	analysis	analysis	NOUN
easat-9249	192	9	using	use	VERB
easat-9249	192	10	ridge	ridge	NOUN
easat-9249	192	11	and	and	CCONJ
easat-9249	192	12	lasso	lasso	NOUN
easat-9249	192	13	can	can	AUX
easat-9249	192	14	help	help	VERB
easat-9249	192	15	farmers	farmer	NOUN
easat-9249	192	16	mitigate	mitigate	VERB
easat-9249	192	17	the	the	DET
easat-9249	192	18	negative	negative	ADJ
easat-9249	192	19	impact	impact	NOUN
easat-9249	192	20	of	of	ADP
easat-9249	192	21	droughts	drought	NOUN
easat-9249	192	22	on	on	ADP
easat-9249	192	23	their	their	PRON
easat-9249	192	24	sheep	sheep	NOUN
easat-9249	192	25	farming	farming	NOUN
easat-9249	192	26	and	and	CCONJ
easat-9249	192	27	aid	aid	VERB
easat-9249	192	28	proper	proper	ADJ
easat-9249	192	29	planning	planning	NOUN
easat-9249	192	30	[	[	X
easat-9249	192	31	19	19	NUM
easat-9249	192	32	]	]	PUNCT
easat-9249	192	33	.	.	PUNCT
easat-9249	193	1	notable	notable	ADJ
easat-9249	193	2	parts	part	NOUN
easat-9249	193	3	of	of	ADP
easat-9249	193	4	south	south	PROPN
easat-9249	193	5	africa	africa	PROPN
easat-9249	193	6	have	have	AUX
easat-9249	193	7	been	be	AUX
easat-9249	193	8	declared	declare	VERB
easat-9249	193	9	disaster	disaster	NOUN
easat-9249	193	10	-	-	PUNCT
easat-9249	193	11	drought	drought	NOUN
easat-9249	193	12	areas	area	NOUN
easat-9249	193	13	[	[	X
easat-9249	193	14	20	20	NUM
easat-9249	193	15	]	]	PUNCT
easat-9249	193	16	.	.	PUNCT
easat-9249	194	1	the	the	DET
easat-9249	194	2	resultant	resultant	NOUN
easat-9249	194	3	effect	effect	NOUN
easat-9249	194	4	is	be	AUX
easat-9249	194	5	the	the	DET
easat-9249	194	6	increased	increase	VERB
easat-9249	194	7	mortality	mortality	NOUN
easat-9249	194	8	rate	rate	NOUN
easat-9249	194	9	in	in	ADP
easat-9249	194	10	livestock	livestock	NOUN
easat-9249	194	11	due	due	ADP
easat-9249	194	12	to	to	ADP
easat-9249	194	13	unavailability	unavailability	NOUN
easat-9249	194	14	of	of	ADP
easat-9249	194	15	water	water	NOUN
easat-9249	194	16	,	,	PUNCT
easat-9249	194	17	loss	loss	NOUN
easat-9249	194	18	of	of	ADP
easat-9249	194	19	dairy	dairy	NOUN
easat-9249	194	20	and	and	CCONJ
easat-9249	194	21	livestock	livestock	NOUN
easat-9249	194	22	production	production	NOUN
easat-9249	194	23	,	,	PUNCT
easat-9249	194	24	and	and	CCONJ
easat-9249	194	25	disruption	disruption	NOUN
easat-9249	194	26	in	in	ADP
easat-9249	194	27	the	the	DET
easat-9249	194	28	animal	animal	NOUN
easat-9249	194	29	reproduction	reproduction	NOUN
easat-9249	194	30	cycle	cycle	NOUN
easat-9249	194	31	.	.	PUNCT
easat-9249	195	1	it	it	PRON
easat-9249	195	2	also	also	ADV
easat-9249	195	3	increases	increase	VERB
easat-9249	195	4	unemployment	unemployment	NOUN
easat-9249	195	5	as	as	ADP
easat-9249	195	6	industries	industry	NOUN
easat-9249	195	7	relying	rely	VERB
easat-9249	195	8	on	on	ADP
easat-9249	195	9	agricultural	agricultural	ADJ
easat-9249	195	10	produce	produce	NOUN
easat-9249	195	11	,	,	PUNCT
easat-9249	195	12	such	such	ADJ
easat-9249	195	13	as	as	ADP
easat-9249	195	14	fertilizer	fertilizer	NOUN
easat-9249	195	15	manufacturers	manufacturer	NOUN
easat-9249	195	16	,	,	PUNCT
easat-9249	195	17	are	be	AUX
easat-9249	195	18	lost	lose	VERB
easat-9249	195	19	,	,	PUNCT
easat-9249	195	20	and	and	CCONJ
easat-9249	195	21	food	food	NOUN
easat-9249	195	22	prices	price	NOUN
easat-9249	195	23	increase	increase	VERB
easat-9249	195	24	due	due	ADP
easat-9249	195	25	to	to	ADP
easat-9249	195	26	damage	damage	NOUN
easat-9249	195	27	to	to	ADP
easat-9249	195	28	crop	crop	NOUN
easat-9249	195	29	quality	quality	NOUN
easat-9249	195	30	and	and	CCONJ
easat-9249	195	31	reduced	reduce	VERB
easat-9249	195	32	food	food	NOUN
easat-9249	195	33	production	production	NOUN
easat-9249	195	34	.	.	PUNCT
easat-9249	196	1	the	the	DET
easat-9249	196	2	impact	impact	NOUN
easat-9249	196	3	of	of	ADP
easat-9249	196	4	drought	drought	NOUN
easat-9249	196	5	is	be	AUX
easat-9249	196	6	not	not	PART
easat-9249	196	7	limited	limit	VERB
easat-9249	196	8	to	to	ADP
easat-9249	196	9	its	its	PRON
easat-9249	196	10	economic	economic	ADJ
easat-9249	196	11	impacts	impact	NOUN
easat-9249	196	12	.	.	PUNCT
easat-9249	197	1	still	still	ADV
easat-9249	197	2	,	,	PUNCT
easat-9249	197	3	it	it	PRON
easat-9249	197	4	also	also	ADV
easat-9249	197	5	has	have	VERB
easat-9249	197	6	environmental	environmental	ADJ
easat-9249	197	7	impacts	impact	NOUN
easat-9249	197	8	as	as	SCONJ
easat-9249	197	9	it	it	PRON
easat-9249	197	10	leads	lead	VERB
easat-9249	197	11	to	to	ADP
easat-9249	197	12	the	the	DET
easat-9249	197	13	degradation	degradation	NOUN
easat-9249	197	14	of	of	ADP
easat-9249	197	15	animal	animal	NOUN
easat-9249	197	16	habitats	habitat	NOUN
easat-9249	197	17	,	,	PUNCT
easat-9249	197	18	inferior	inferior	ADJ
easat-9249	197	19	crops	crop	NOUN
easat-9249	197	20	,	,	PUNCT
easat-9249	197	21	decreased	decrease	VERB
easat-9249	197	22	water	water	NOUN
easat-9249	197	23	quality	quality	NOUN
easat-9249	197	24	and	and	CCONJ
easat-9249	197	25	insufficient	insufficient	ADJ
easat-9249	197	26	drinking	drinking	NOUN
easat-9249	197	27	water	water	NOUN
easat-9249	197	28	,	,	PUNCT
easat-9249	197	29	soil	soil	NOUN
easat-9249	197	30	erosion	erosion	NOUN
easat-9249	197	31	,	,	PUNCT
easat-9249	197	32	and	and	CCONJ
easat-9249	197	33	fire	fire	NOUN
easat-9249	197	34	outbreaks	outbreak	NOUN
easat-9249	197	35	[	[	X
easat-9249	197	36	19	19	NUM
easat-9249	197	37	]	]	PUNCT
easat-9249	197	38	.	.	PUNCT
easat-9249	198	1	figure	figure	NOUN
easat-9249	198	2	3	3	NUM
easat-9249	198	3	shows	show	VERB
easat-9249	198	4	the	the	DET
easat-9249	198	5	monthly	monthly	ADJ
easat-9249	198	6	variation	variation	NOUN
easat-9249	198	7	in	in	ADP
easat-9249	198	8	rainfall	rainfall	NOUN
easat-9249	198	9	for	for	ADP
easat-9249	198	10	alexander	alexander	PROPN
easat-9249	198	11	bay	bay	PROPN
easat-9249	198	12	,	,	PUNCT
easat-9249	198	13	beaufort	beaufort	PROPN
easat-9249	198	14	west	west	PROPN
easat-9249	198	15	,	,	PUNCT
easat-9249	198	16	and	and	CCONJ
easat-9249	198	17	bristown	bristown	VERB
easat-9249	198	18	using	use	VERB
easat-9249	198	19	different	different	ADJ
easat-9249	198	20	models	model	NOUN
easat-9249	198	21	.	.	PUNCT
easat-9249	199	1	as	as	SCONJ
easat-9249	199	2	expected	expect	VERB
easat-9249	199	3	,	,	PUNCT
easat-9249	199	4	alexander	alexander	PROPN
easat-9249	199	5	bay	bay	PROPN
easat-9249	199	6	received	receive	VERB
easat-9249	199	7	the	the	DET
easat-9249	199	8	least	least	ADJ
easat-9249	199	9	rainfall	rainfall	NOUN
easat-9249	199	10	,	,	PUNCT
easat-9249	199	11	with	with	ADP
easat-9249	199	12	a	a	DET
easat-9249	199	13	monthly	monthly	ADJ
easat-9249	199	14	average	average	NOUN
easat-9249	199	15	below	below	ADP
easat-9249	199	16	1	1	NUM
easat-9249	199	17	mm	mm	NOUN
easat-9249	199	18	.	.	PUNCT
easat-9249	200	1	the	the	DET
easat-9249	200	2	models	model	NOUN
easat-9249	200	3	could	could	AUX
easat-9249	200	4	accurately	accurately	ADV
easat-9249	200	5	predict	predict	VERB
easat-9249	200	6	the	the	DET
easat-9249	200	7	seasonal	seasonal	ADJ
easat-9249	200	8	variation	variation	NOUN
easat-9249	200	9	in	in	ADP
easat-9249	200	10	rainfall	rainfall	NOUN
easat-9249	200	11	for	for	ADP
easat-9249	200	12	all	all	DET
easat-9249	200	13	locations	location	NOUN
easat-9249	200	14	and	and	CCONJ
easat-9249	200	15	all	all	DET
easat-9249	200	16	models	model	NOUN
easat-9249	200	17	.	.	PUNCT
easat-9249	201	1	random	random	ADJ
easat-9249	201	2	forest	forest	NOUN
easat-9249	201	3	better	well	ADV
easat-9249	201	4	estimated	estimate	VERB
easat-9249	201	5	the	the	DET
easat-9249	201	6	rainfall	rainfall	NOUN
easat-9249	201	7	received	receive	VERB
easat-9249	201	8	for	for	ADP
easat-9249	201	9	both	both	DET
easat-9249	201	10	beaufort	beaufort	PROPN
easat-9249	201	11	west	west	PROPN
easat-9249	201	12	and	and	CCONJ
easat-9249	201	13	bristown	bristown	VERB
easat-9249	201	14	.	.	PUNCT
easat-9249	202	1	while	while	SCONJ
easat-9249	202	2	evaluating	evaluate	VERB
easat-9249	202	3	these	these	DET
easat-9249	202	4	regions	region	NOUN
easat-9249	202	5	,	,	PUNCT
easat-9249	202	6	linear	linear	ADJ
easat-9249	202	7	regression	regression	NOUN
easat-9249	202	8	’s	’s	PART
easat-9249	202	9	estimate	estimate	NOUN
easat-9249	202	10	for	for	ADP
easat-9249	202	11	rainfall	rainfall	NOUN
easat-9249	202	12	in	in	ADP
easat-9249	202	13	bristown	bristown	PROPN
easat-9249	202	14	was	be	AUX
easat-9249	202	15	better	well	ADJ
easat-9249	202	16	.	.	PUNCT
easat-9249	203	1	descamps	descamps	PROPN
easat-9249	203	2	,	,	PUNCT
easat-9249	203	3	et	et	PROPN
easat-9249	203	4	al	al	PROPN
easat-9249	203	5	.	.	PUNCT
easat-9249	204	1	[	[	X
easat-9249	204	2	21	21	NUM
easat-9249	204	3	]	]	PUNCT
easat-9249	204	4	revealed	reveal	VERB
easat-9249	204	5	the	the	DET
easat-9249	204	6	challenge	challenge	NOUN
easat-9249	204	7	in	in	ADP
easat-9249	204	8	reliable	reliable	ADJ
easat-9249	204	9	long	long	ADJ
easat-9249	204	10	-	-	PUNCT
easat-9249	204	11	term	term	NOUN
easat-9249	204	12	rainfall	rainfall	NOUN
easat-9249	204	13	prediction	prediction	NOUN
easat-9249	204	14	due	due	ADP
easat-9249	204	15	to	to	ADP
easat-9249	204	16	the	the	DET
easat-9249	204	17	area	area	NOUN
easat-9249	204	18	's	's	PART
easat-9249	204	19	susceptibility	susceptibility	NOUN
easat-9249	204	20	to	to	ADP
easat-9249	204	21	droughts	drought	NOUN
easat-9249	204	22	and	and	CCONJ
easat-9249	204	23	floods	flood	NOUN
easat-9249	204	24	.	.	PUNCT
easat-9249	205	1	they	they	PRON
easat-9249	205	2	stated	state	VERB
easat-9249	205	3	the	the	DET
easat-9249	205	4	need	need	NOUN
easat-9249	205	5	to	to	PART
easat-9249	205	6	use	use	VERB
easat-9249	205	7	ridge	ridge	NOUN
easat-9249	205	8	and	and	CCONJ
easat-9249	205	9	lasso	lasso	NOUN
easat-9249	205	10	regression	regression	NOUN
easat-9249	205	11	models	model	NOUN
easat-9249	205	12	as	as	SCONJ
easat-9249	205	13	they	they	PRON
easat-9249	205	14	outperformed	outperform	VERB
easat-9249	205	15	dynamical	dynamical	ADJ
easat-9249	205	16	climate	climate	NOUN
easat-9249	205	17	prediction	prediction	NOUN
easat-9249	205	18	models	model	NOUN
easat-9249	205	19	.	.	PUNCT
easat-9249	206	1	however	however	ADV
easat-9249	206	2	,	,	PUNCT
easat-9249	206	3	they	they	PRON
easat-9249	206	4	cautioned	caution	VERB
easat-9249	206	5	on	on	ADP
easat-9249	206	6	independently	independently	ADV
easat-9249	206	7	-2	-2	NOUN
easat-9249	206	8	0	0	NUM
easat-9249	206	9	2	2	NUM
easat-9249	206	10	4	4	NUM
easat-9249	206	11	6	6	NUM
easat-9249	206	12	8	8	NUM
easat-9249	206	13	10	10	NUM
easat-9249	206	14	12	12	NUM
easat-9249	206	15	2015	2015	NUM
easat-9249	206	16	2016	2016	NUM
easat-9249	206	17	2017	2017	NUM
easat-9249	206	18	2018	2018	NUM
easat-9249	206	19	2019	2019	NUM
easat-9249	206	20	2020	2020	NUM
easat-9249	206	21	2021	2021	NUM
easat-9249	206	22	2022	2022	NUM
easat-9249	206	23	2023	2023	NUM
easat-9249	206	24	welkom	welkom	PROPN
easat-9249	206	25	r&l	r&l	PROPN
easat-9249	206	26	actual	actual	ADJ
easat-9249	206	27	predicted	predict	VERB
easat-9249	206	28	161	161	NUM
easat-9249	206	29	edelweiss	edelweiss	PROPN
easat-9249	206	30	applied	apply	VERB
easat-9249	206	31	science	science	NOUN
easat-9249	206	32	and	and	CCONJ
easat-9249	206	33	technology	technology	NOUN
easat-9249	206	34	issn	issn	PROPN
easat-9249	206	35	:	:	PUNCT
easat-9249	206	36	2576	2576	NUM
easat-9249	206	37	-	-	SYM
easat-9249	206	38	8484	8484	NUM
easat-9249	206	39	vol	vol	NOUN
easat-9249	206	40	.	.	PROPN
easat-9249	207	1	9	9	NUM
easat-9249	207	2	,	,	PUNCT
easat-9249	207	3	no	no	INTJ
easat-9249	207	4	.	.	NOUN
easat-9249	207	5	8	8	NUM
easat-9249	207	6	:	:	SYM
easat-9249	207	7	148	148	NUM
easat-9249	207	8	-	-	SYM
easat-9249	207	9	178	178	NUM
easat-9249	207	10	,	,	PUNCT
easat-9249	207	11	2025	2025	NUM
easat-9249	207	12	doi	doi	NOUN
easat-9249	207	13	:	:	PUNCT
easat-9249	207	14	10.55214/2576	10.55214/2576	NUM
easat-9249	207	15	-	-	SYM
easat-9249	207	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	207	17	©	©	ADP
easat-9249	207	18	2025	2025	NUM
easat-9249	207	19	by	by	ADP
easat-9249	207	20	the	the	DET
easat-9249	207	21	authors	author	NOUN
easat-9249	207	22	;	;	PUNCT
easat-9249	207	23	licensee	licensee	PROPN
easat-9249	207	24	learning	learn	VERB
easat-9249	207	25	gate	gate	NOUN
easat-9249	207	26	selecting	select	VERB
easat-9249	207	27	the	the	DET
easat-9249	207	28	predictors	predictor	NOUN
easat-9249	207	29	for	for	ADP
easat-9249	207	30	both	both	PRON
easat-9249	207	31	train	train	NOUN
easat-9249	207	32	and	and	CCONJ
easat-9249	207	33	test	test	NOUN
easat-9249	207	34	data	datum	NOUN
easat-9249	207	35	as	as	SCONJ
easat-9249	207	36	they	they	PRON
easat-9249	207	37	may	may	AUX
easat-9249	207	38	result	result	VERB
easat-9249	207	39	in	in	ADP
easat-9249	207	40	biased	biased	ADJ
easat-9249	207	41	results	result	NOUN
easat-9249	207	42	that	that	PRON
easat-9249	207	43	do	do	AUX
easat-9249	207	44	not	not	PART
easat-9249	207	45	correctly	correctly	ADV
easat-9249	207	46	reflect	reflect	VERB
easat-9249	207	47	the	the	DET
easat-9249	207	48	accuracy	accuracy	NOUN
easat-9249	207	49	of	of	ADP
easat-9249	207	50	the	the	DET
easat-9249	207	51	models	model	NOUN
easat-9249	207	52	.	.	PUNCT
easat-9249	208	1	table	table	NOUN
easat-9249	208	2	3	3	NUM
easat-9249	208	3	.	.	PUNCT
easat-9249	208	4	table	table	NOUN
easat-9249	208	5	showing	show	VERB
easat-9249	208	6	model	model	NOUN
easat-9249	208	7	evaluation	evaluation	NOUN
easat-9249	208	8	metrics	metric	NOUN
easat-9249	208	9	for	for	ADP
easat-9249	208	10	cold	cold	ADJ
easat-9249	208	11	,	,	PUNCT
easat-9249	208	12	arid	arid	NOUN
easat-9249	208	13	desert	desert	NOUN
easat-9249	208	14	climate	climate	NOUN
easat-9249	208	15	classification	classification	NOUN
easat-9249	208	16	(	(	PUNCT
easat-9249	208	17	alexander	alexander	PROPN
easat-9249	208	18	bay	bay	PROPN
easat-9249	208	19	,	,	PUNCT
easat-9249	208	20	beaufort	beaufort	PROPN
easat-9249	208	21	west	west	PROPN
easat-9249	208	22	,	,	PUNCT
easat-9249	208	23	and	and	CCONJ
easat-9249	208	24	bristown	bristown	VERB
easat-9249	208	25	)	)	PUNCT
easat-9249	208	26	.	.	PUNCT
easat-9249	209	1	linear	linear	ADJ
easat-9249	209	2	regression	regression	NOUN
easat-9249	209	3	locations	location	NOUN
easat-9249	209	4	mae	mae	PROPN
easat-9249	209	5	mse	mse	PROPN
easat-9249	209	6	rmse	rmse	PROPN
easat-9249	209	7	r	r	NOUN
easat-9249	209	8	r	r	NOUN
easat-9249	209	9	-	-	PUNCT
easat-9249	209	10	square	square	ADJ
easat-9249	209	11	alexander	alexander	PROPN
easat-9249	209	12	bay	bay	PROPN
easat-9249	209	13	1.50	1.50	NUM
easat-9249	209	14	3.75	3.75	NUM
easat-9249	209	15	1.94	1.94	NUM
easat-9249	209	16	0.14	0.14	NUM
easat-9249	209	17	0.12	0.12	NUM
easat-9249	209	18	beaufort	beaufort	PROPN
easat-9249	209	19	west	west	PROPN
easat-9249	209	20	0.69	0.69	NUM
easat-9249	209	21	0.78	0.78	NUM
easat-9249	209	22	0.88	0.88	NUM
easat-9249	209	23	0.60	0.60	NUM
easat-9249	209	24	0.14	0.14	NUM
easat-9249	209	25	bristown	bristown	VERB
easat-9249	209	26	0.77	0.77	NUM
easat-9249	209	27	0.94	0.94	NUM
easat-9249	209	28	0.97	0.97	NUM
easat-9249	209	29	0.66	0.66	NUM
easat-9249	209	30	0.65	0.65	NUM
easat-9249	209	31	random	random	ADJ
easat-9249	209	32	forest	forest	NOUN
easat-9249	209	33	alexander	alexander	PROPN
easat-9249	209	34	bay	bay	PROPN
easat-9249	209	35	0.13	0.13	NUM
easat-9249	209	36	0.04	0.04	NUM
easat-9249	209	37	0.19	0.19	NUM
easat-9249	209	38	0.01	0.01	NUM
easat-9249	209	39	-0.31	-0.31	PRON
easat-9249	209	40	beautfort	beautfort	NOUN
easat-9249	209	41	west	west	NOUN
easat-9249	209	42	0.62	0.62	NUM
easat-9249	209	43	0.97	0.97	NUM
easat-9249	209	44	0.99	0.99	NUM
easat-9249	209	45	0.55	0.55	NUM
easat-9249	209	46	0.30	0.30	NUM
easat-9249	209	47	bristown	bristown	VERB
easat-9249	209	48	0.67	0.67	NUM
easat-9249	209	49	1.08	1.08	NUM
easat-9249	209	50	1.04	1.04	NUM
easat-9249	209	51	0.71	0.71	NUM
easat-9249	209	52	0.44	0.44	NUM
easat-9249	209	53	support	support	NOUN
easat-9249	209	54	vector	vector	NOUN
easat-9249	209	55	machine	machine	NOUN
easat-9249	209	56	alexander	alexander	PROPN
easat-9249	209	57	bay	bay	PROPN
easat-9249	209	58	0.11	0.11	NUM
easat-9249	209	59	0.03	0.03	NUM
easat-9249	209	60	0.18	0.18	NUM
easat-9249	209	61	0.15	0.15	NUM
easat-9249	209	62	-0.22	-0.22	PROPN
easat-9249	209	63	beaufort	beaufort	PROPN
easat-9249	209	64	west	west	PROPN
easat-9249	209	65	0.55	0.55	NUM
easat-9249	209	66	0.94	0.94	NUM
easat-9249	209	67	0.97	0.97	NUM
easat-9249	209	68	0.65	0.65	NUM
easat-9249	209	69	0.32	0.32	NUM
easat-9249	209	70	bristown	bristown	VERB
easat-9249	209	71	0.65	0.65	NUM
easat-9249	209	72	1.23	1.23	NUM
easat-9249	209	73	1.11	1.11	NUM
easat-9249	209	74	0.72	0.72	NUM
easat-9249	209	75	0.36	0.36	NUM
easat-9249	209	76	ridge	ridge	NOUN
easat-9249	209	77	and	and	CCONJ
easat-9249	209	78	lasso	lasso	PROPN
easat-9249	209	79	alexander	alexander	PROPN
easat-9249	209	80	bay	bay	PROPN
easat-9249	209	81	0.12	0.12	NUM
easat-9249	209	82	0.03	0.03	NUM
easat-9249	209	83	0.18	0.18	NUM
easat-9249	209	84	0.06	0.06	NUM
easat-9249	209	85	0.14	0.14	NUM
easat-9249	209	86	beaufort	beaufort	PROPN
easat-9249	209	87	west	west	PROPN
easat-9249	209	88	0.62	0.62	NUM
easat-9249	209	89	0.92	0.92	NUM
easat-9249	209	90	0.96	0.96	NUM
easat-9249	209	91	0.64	0.64	NUM
easat-9249	209	92	0.86	0.86	NUM
easat-9249	209	93	bristown	bristown	VERB
easat-9249	209	94	0.73	0.73	NUM
easat-9249	209	95	1.30	1.30	NUM
easat-9249	209	96	1.14	1.14	NUM
easat-9249	209	97	0.65	0.65	NUM
easat-9249	209	98	0.74	0.74	NUM
easat-9249	209	99	-0.2	-0.2	NOUN
easat-9249	209	100	0	0	NUM
easat-9249	209	101	0.2	0.2	NUM
easat-9249	209	102	0.4	0.4	NUM
easat-9249	209	103	0.6	0.6	NUM
easat-9249	209	104	0.8	0.8	NUM
easat-9249	209	105	1	1	NUM
easat-9249	209	106	2015	2015	NUM
easat-9249	209	107	2016	2016	NUM
easat-9249	209	108	2017	2017	NUM
easat-9249	209	109	2018	2018	NUM
easat-9249	209	110	2019	2019	NUM
easat-9249	209	111	2020	2020	NUM
easat-9249	209	112	2021	2021	NUM
easat-9249	209	113	2022	2022	NUM
easat-9249	209	114	2023	2023	NUM
easat-9249	209	115	alexander	alexander	PROPN
easat-9249	209	116	bay	bay	PROPN
easat-9249	209	117	lr	lr	PROPN
easat-9249	209	118	actual	actual	ADJ
easat-9249	209	119	predicted	predict	VERB
easat-9249	209	120	162	162	NUM
easat-9249	209	121	edelweiss	edelweiss	PROPN
easat-9249	209	122	applied	apply	VERB
easat-9249	209	123	science	science	NOUN
easat-9249	209	124	and	and	CCONJ
easat-9249	209	125	technology	technology	NOUN
easat-9249	209	126	issn	issn	PROPN
easat-9249	209	127	:	:	PUNCT
easat-9249	209	128	2576	2576	NUM
easat-9249	209	129	-	-	SYM
easat-9249	209	130	8484	8484	NUM
easat-9249	209	131	vol	vol	NOUN
easat-9249	209	132	.	.	PROPN
easat-9249	210	1	9	9	NUM
easat-9249	210	2	,	,	PUNCT
easat-9249	210	3	no	no	INTJ
easat-9249	210	4	.	.	NOUN
easat-9249	210	5	8	8	NUM
easat-9249	210	6	:	:	SYM
easat-9249	210	7	148	148	NUM
easat-9249	210	8	-	-	SYM
easat-9249	210	9	178	178	NUM
easat-9249	210	10	,	,	PUNCT
easat-9249	210	11	2025	2025	NUM
easat-9249	210	12	doi	doi	NOUN
easat-9249	210	13	:	:	PUNCT
easat-9249	210	14	10.55214/2576	10.55214/2576	NUM
easat-9249	210	15	-	-	SYM
easat-9249	210	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	210	17	©	©	ADP
easat-9249	210	18	2025	2025	NUM
easat-9249	210	19	by	by	ADP
easat-9249	210	20	the	the	DET
easat-9249	210	21	authors	author	NOUN
easat-9249	210	22	;	;	PUNCT
easat-9249	210	23	licensee	licensee	PROPN
easat-9249	210	24	learning	learning	NOUN
easat-9249	210	25	gate	gate	NOUN
easat-9249	210	26	0	0	NUM
easat-9249	211	1	0.2	0.2	NUM
easat-9249	211	2	0.4	0.4	NUM
easat-9249	211	3	0.6	0.6	NUM
easat-9249	211	4	0.8	0.8	NUM
easat-9249	211	5	1	1	NUM
easat-9249	211	6	2015	2015	NUM
easat-9249	211	7	2016	2016	NUM
easat-9249	211	8	2017	2017	NUM
easat-9249	211	9	2018	2018	NUM
easat-9249	211	10	2019	2019	NUM
easat-9249	211	11	2020	2020	NUM
easat-9249	211	12	2021	2021	NUM
easat-9249	211	13	2022	2022	NUM
easat-9249	211	14	2023	2023	NUM
easat-9249	211	15	alexander	alexander	PROPN
easat-9249	211	16	bay	bay	PROPN
easat-9249	212	1	rf	rf	PROPN
easat-9249	212	2	actual	actual	ADJ
easat-9249	212	3	predicted	predict	VERB
easat-9249	212	4	0	0	NUM
easat-9249	212	5	0.2	0.2	NUM
easat-9249	212	6	0.4	0.4	NUM
easat-9249	212	7	0.6	0.6	NUM
easat-9249	212	8	0.8	0.8	NUM
easat-9249	212	9	1	1	NUM
easat-9249	212	10	2015	2015	NUM
easat-9249	212	11	2016	2016	NUM
easat-9249	212	12	2017	2017	NUM
easat-9249	212	13	2018	2018	NUM
easat-9249	212	14	2019	2019	NUM
easat-9249	212	15	2020	2020	NUM
easat-9249	212	16	2021	2021	NUM
easat-9249	212	17	2022	2022	NUM
easat-9249	212	18	2023	2023	NUM
easat-9249	212	19	alexander	alexander	PROPN
easat-9249	212	20	bay	bay	PROPN
easat-9249	212	21	svm	svm	PROPN
easat-9249	212	22	actual	actual	ADJ
easat-9249	212	23	predicted	predict	VERB
easat-9249	212	24	0	0	NUM
easat-9249	212	25	0.2	0.2	NUM
easat-9249	212	26	0.4	0.4	NUM
easat-9249	212	27	0.6	0.6	NUM
easat-9249	212	28	0.8	0.8	NUM
easat-9249	212	29	1	1	NUM
easat-9249	212	30	2015	2015	NUM
easat-9249	212	31	2016	2016	NUM
easat-9249	212	32	2017	2017	NUM
easat-9249	212	33	2018	2018	NUM
easat-9249	212	34	2019	2019	NUM
easat-9249	212	35	2020	2020	NUM
easat-9249	212	36	2021	2021	NUM
easat-9249	212	37	2022	2022	NUM
easat-9249	213	1	2023	2023	NUM
easat-9249	213	2	alexander	alexander	PROPN
easat-9249	213	3	bay	bay	PROPN
easat-9249	213	4	r&l	r&l	PROPN
easat-9249	213	5	actual	actual	ADJ
easat-9249	213	6	predicted	predict	VERB
easat-9249	213	7	163	163	NUM
easat-9249	213	8	edelweiss	edelweiss	PROPN
easat-9249	213	9	applied	apply	VERB
easat-9249	213	10	science	science	NOUN
easat-9249	213	11	and	and	CCONJ
easat-9249	213	12	technology	technology	NOUN
easat-9249	213	13	issn	issn	PROPN
easat-9249	213	14	:	:	PUNCT
easat-9249	213	15	2576	2576	NUM
easat-9249	213	16	-	-	SYM
easat-9249	213	17	8484	8484	NUM
easat-9249	213	18	vol	vol	NOUN
easat-9249	213	19	.	.	PROPN
easat-9249	214	1	9	9	NUM
easat-9249	214	2	,	,	PUNCT
easat-9249	214	3	no	no	INTJ
easat-9249	214	4	.	.	NOUN
easat-9249	214	5	8	8	NUM
easat-9249	214	6	:	:	SYM
easat-9249	214	7	148	148	NUM
easat-9249	214	8	-	-	SYM
easat-9249	214	9	178	178	NUM
easat-9249	214	10	,	,	PUNCT
easat-9249	214	11	2025	2025	NUM
easat-9249	214	12	doi	doi	NOUN
easat-9249	214	13	:	:	PUNCT
easat-9249	214	14	10.55214/2576	10.55214/2576	NUM
easat-9249	214	15	-	-	SYM
easat-9249	214	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	214	17	©	©	ADP
easat-9249	214	18	2025	2025	NUM
easat-9249	214	19	by	by	ADP
easat-9249	214	20	the	the	DET
easat-9249	214	21	authors	author	NOUN
easat-9249	214	22	;	;	PUNCT
easat-9249	214	23	licensee	licensee	PROPN
easat-9249	214	24	learning	learn	VERB
easat-9249	214	25	gate	gate	NOUN
easat-9249	215	1	-2	-2	NOUN
easat-9249	215	2	0	0	NUM
easat-9249	215	3	2	2	NUM
easat-9249	215	4	4	4	NUM
easat-9249	215	5	6	6	NUM
easat-9249	215	6	2015	2015	NUM
easat-9249	215	7	2016	2016	NUM
easat-9249	215	8	2017	2017	NUM
easat-9249	215	9	2018	2018	NUM
easat-9249	215	10	2019	2019	NUM
easat-9249	215	11	2020	2020	NUM
easat-9249	215	12	2021	2021	NUM
easat-9249	215	13	2022	2022	NUM
easat-9249	215	14	2023	2023	NUM
easat-9249	215	15	beaufort	beaufort	PROPN
easat-9249	215	16	west	west	PROPN
easat-9249	215	17	lr	lr	PROPN
easat-9249	215	18	actual	actual	ADJ
easat-9249	215	19	predicted	predict	VERB
easat-9249	215	20	0	0	NUM
easat-9249	215	21	2	2	NUM
easat-9249	215	22	4	4	NUM
easat-9249	215	23	6	6	NUM
easat-9249	215	24	2015	2015	NUM
easat-9249	215	25	2016	2016	NUM
easat-9249	215	26	2017	2017	NUM
easat-9249	215	27	2018	2018	NUM
easat-9249	215	28	2019	2019	NUM
easat-9249	215	29	2020	2020	NUM
easat-9249	215	30	2021	2021	NUM
easat-9249	215	31	2022	2022	NUM
easat-9249	215	32	2023	2023	NUM
easat-9249	215	33	beaufort	beaufort	PROPN
easat-9249	215	34	west	west	PROPN
easat-9249	215	35	rf	rf	VERB
easat-9249	215	36	actual	actual	ADJ
easat-9249	215	37	prediction	prediction	NOUN
easat-9249	215	38	-2	-2	INTJ
easat-9249	215	39	0	0	NUM
easat-9249	215	40	2	2	NUM
easat-9249	215	41	4	4	NUM
easat-9249	215	42	6	6	NUM
easat-9249	215	43	2015	2015	NUM
easat-9249	215	44	2016	2016	NUM
easat-9249	215	45	2017	2017	NUM
easat-9249	215	46	2018	2018	NUM
easat-9249	215	47	2019	2019	NUM
easat-9249	215	48	2020	2020	NUM
easat-9249	215	49	2021	2021	NUM
easat-9249	215	50	2022	2022	NUM
easat-9249	215	51	2023	2023	NUM
easat-9249	215	52	beaufort	beaufort	PROPN
easat-9249	215	53	west	west	PROPN
easat-9249	215	54	svm	svm	PROPN
easat-9249	215	55	actual	actual	ADJ
easat-9249	215	56	predicted	predict	VERB
easat-9249	215	57	164	164	NUM
easat-9249	215	58	edelweiss	edelweiss	PROPN
easat-9249	215	59	applied	apply	VERB
easat-9249	215	60	science	science	NOUN
easat-9249	215	61	and	and	CCONJ
easat-9249	215	62	technology	technology	NOUN
easat-9249	215	63	issn	issn	PROPN
easat-9249	215	64	:	:	PUNCT
easat-9249	215	65	2576	2576	NUM
easat-9249	215	66	-	-	SYM
easat-9249	215	67	8484	8484	NUM
easat-9249	215	68	vol	vol	NOUN
easat-9249	215	69	.	.	PROPN
easat-9249	216	1	9	9	NUM
easat-9249	216	2	,	,	PUNCT
easat-9249	216	3	no	no	INTJ
easat-9249	216	4	.	.	NOUN
easat-9249	216	5	8	8	NUM
easat-9249	216	6	:	:	SYM
easat-9249	216	7	148	148	NUM
easat-9249	216	8	-	-	SYM
easat-9249	216	9	178	178	NUM
easat-9249	216	10	,	,	PUNCT
easat-9249	216	11	2025	2025	NUM
easat-9249	216	12	doi	doi	NOUN
easat-9249	216	13	:	:	PUNCT
easat-9249	216	14	10.55214/2576	10.55214/2576	NUM
easat-9249	216	15	-	-	SYM
easat-9249	216	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	216	17	©	©	ADP
easat-9249	216	18	2025	2025	NUM
easat-9249	216	19	by	by	ADP
easat-9249	216	20	the	the	DET
easat-9249	216	21	authors	author	NOUN
easat-9249	216	22	;	;	PUNCT
easat-9249	216	23	licensee	licensee	PROPN
easat-9249	216	24	learning	learn	VERB
easat-9249	216	25	gate	gate	NOUN
easat-9249	216	26	-1	-1	PROPN
easat-9249	216	27	0	0	NUM
easat-9249	217	1	1	1	NUM
easat-9249	217	2	2	2	NUM
easat-9249	217	3	3	3	NUM
easat-9249	217	4	4	4	NUM
easat-9249	217	5	5	5	NUM
easat-9249	217	6	6	6	NUM
easat-9249	217	7	2015	2015	NUM
easat-9249	217	8	2016	2016	NUM
easat-9249	217	9	2017	2017	NUM
easat-9249	217	10	2018	2018	NUM
easat-9249	217	11	2019	2019	NUM
easat-9249	217	12	2020	2020	NUM
easat-9249	217	13	2021	2021	NUM
easat-9249	217	14	2022	2022	NUM
easat-9249	217	15	2023	2023	NUM
easat-9249	217	16	beaufort	beaufort	PROPN
easat-9249	217	17	west	west	PROPN
easat-9249	217	18	r&l	r&l	PROPN
easat-9249	217	19	actual	actual	ADJ
easat-9249	217	20	predicted	predict	VERB
easat-9249	217	21	-2	-2	INTJ
easat-9249	217	22	0	0	NUM
easat-9249	217	23	2	2	NUM
easat-9249	217	24	4	4	NUM
easat-9249	217	25	6	6	NUM
easat-9249	217	26	8	8	NUM
easat-9249	217	27	2015	2015	NUM
easat-9249	217	28	2016	2016	NUM
easat-9249	217	29	2017	2017	NUM
easat-9249	217	30	2018	2018	NUM
easat-9249	217	31	2019	2019	NUM
easat-9249	217	32	2020	2020	NUM
easat-9249	217	33	2021	2021	NUM
easat-9249	217	34	2022	2022	NUM
easat-9249	217	35	2023	2023	NUM
easat-9249	217	36	bristown	bristown	VERB
easat-9249	217	37	lr	lr	NOUN
easat-9249	217	38	actual	actual	ADJ
easat-9249	217	39	predicted	predict	VERB
easat-9249	217	40	0	0	NUM
easat-9249	217	41	2	2	NUM
easat-9249	217	42	4	4	NUM
easat-9249	217	43	6	6	NUM
easat-9249	217	44	8	8	NUM
easat-9249	217	45	2015	2015	NUM
easat-9249	217	46	2016	2016	NUM
easat-9249	217	47	2017	2017	NUM
easat-9249	217	48	2018	2018	NUM
easat-9249	217	49	2019	2019	NUM
easat-9249	217	50	2020	2020	NUM
easat-9249	217	51	2021	2021	NUM
easat-9249	217	52	2022	2022	NUM
easat-9249	217	53	2023	2023	NUM
easat-9249	217	54	bristown	bristown	VERB
easat-9249	217	55	rf	rf	NUM
easat-9249	217	56	actual	actual	ADJ
easat-9249	217	57	prediction	prediction	NOUN
easat-9249	217	58	165	165	NUM
easat-9249	217	59	edelweiss	edelweiss	PROPN
easat-9249	217	60	applied	apply	VERB
easat-9249	217	61	science	science	NOUN
easat-9249	217	62	and	and	CCONJ
easat-9249	217	63	technology	technology	NOUN
easat-9249	217	64	issn	issn	PROPN
easat-9249	217	65	:	:	PUNCT
easat-9249	217	66	2576	2576	NUM
easat-9249	217	67	-	-	SYM
easat-9249	217	68	8484	8484	NUM
easat-9249	217	69	vol	vol	NOUN
easat-9249	217	70	.	.	PROPN
easat-9249	218	1	9	9	NUM
easat-9249	218	2	,	,	PUNCT
easat-9249	218	3	no	no	INTJ
easat-9249	218	4	.	.	NOUN
easat-9249	218	5	8	8	NUM
easat-9249	218	6	:	:	SYM
easat-9249	218	7	148	148	NUM
easat-9249	218	8	-	-	SYM
easat-9249	218	9	178	178	NUM
easat-9249	218	10	,	,	PUNCT
easat-9249	218	11	2025	2025	NUM
easat-9249	218	12	doi	doi	NOUN
easat-9249	218	13	:	:	PUNCT
easat-9249	218	14	10.55214/2576	10.55214/2576	NUM
easat-9249	218	15	-	-	SYM
easat-9249	218	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	218	17	©	©	ADP
easat-9249	218	18	2025	2025	NUM
easat-9249	218	19	by	by	ADP
easat-9249	218	20	the	the	DET
easat-9249	218	21	authors	author	NOUN
easat-9249	218	22	;	;	PUNCT
easat-9249	218	23	licensee	licensee	PROPN
easat-9249	218	24	learning	learn	VERB
easat-9249	218	25	gate	gate	PROPN
easat-9249	218	26	figure	figure	NOUN
easat-9249	218	27	3	3	NUM
easat-9249	218	28	.	.	PUNCT
easat-9249	218	29	figures	figure	NOUN
easat-9249	218	30	showing	show	VERB
easat-9249	218	31	the	the	DET
easat-9249	218	32	predicted	predict	VERB
easat-9249	218	33	and	and	CCONJ
easat-9249	218	34	actual	actual	ADJ
easat-9249	218	35	rainfall	rainfall	NOUN
easat-9249	218	36	for	for	ADP
easat-9249	218	37	models	model	NOUN
easat-9249	218	38	used	use	VERB
easat-9249	218	39	and	and	CCONJ
easat-9249	218	40	locations	location	NOUN
easat-9249	218	41	under	under	ADP
easat-9249	218	42	the	the	DET
easat-9249	218	43	cold	cold	ADJ
easat-9249	218	44	arid	arid	PROPN
easat-9249	218	45	desert	desert	PROPN
easat-9249	218	46	climate	climate	NOUN
easat-9249	218	47	classification	classification	NOUN
easat-9249	218	48	.	.	PUNCT
easat-9249	219	1	3.2.3	3.2.3	X
easat-9249	219	2	.	.	X
easat-9249	219	3	hot	hot	ADJ
easat-9249	219	4	and	and	CCONJ
easat-9249	219	5	semi	semi	ADJ
easat-9249	219	6	-	-	ADJ
easat-9249	219	7	arid	arid	ADJ
easat-9249	219	8	steppe	steppe	NOUN
easat-9249	219	9	table	table	NOUN
easat-9249	219	10	4	4	NUM
easat-9249	219	11	presents	present	VERB
easat-9249	219	12	the	the	DET
easat-9249	219	13	evaluation	evaluation	NOUN
easat-9249	219	14	metrics	metric	NOUN
easat-9249	219	15	for	for	ADP
easat-9249	219	16	the	the	DET
easat-9249	219	17	four	four	NUM
easat-9249	219	18	models	model	NOUN
easat-9249	219	19	used	use	VERB
easat-9249	219	20	in	in	ADP
easat-9249	219	21	this	this	DET
easat-9249	219	22	study	study	NOUN
easat-9249	219	23	for	for	ADP
easat-9249	219	24	kimberly	kimberly	NOUN
easat-9249	219	25	,	,	PUNCT
easat-9249	219	26	mahikeng	mahikeng	PROPN
easat-9249	219	27	,	,	PUNCT
easat-9249	219	28	and	and	CCONJ
easat-9249	219	29	port	port	PROPN
easat-9249	219	30	elizabeth	elizabeth	PROPN
easat-9249	219	31	under	under	ADP
easat-9249	219	32	the	the	DET
easat-9249	219	33	hot	hot	ADJ
easat-9249	219	34	and	and	CCONJ
easat-9249	219	35	semi	semi	ADJ
easat-9249	219	36	-	-	ADJ
easat-9249	219	37	arid	arid	ADJ
easat-9249	219	38	steppe	steppe	NOUN
easat-9249	219	39	climate	climate	NOUN
easat-9249	219	40	classification	classification	NOUN
easat-9249	219	41	.	.	PUNCT
easat-9249	220	1	these	these	DET
easat-9249	220	2	cities	city	NOUN
easat-9249	220	3	are	be	AUX
easat-9249	220	4	situated	situate	VERB
easat-9249	220	5	in	in	ADP
easat-9249	220	6	three	three	NUM
easat-9249	220	7	different	different	ADJ
easat-9249	220	8	provinces	province	NOUN
easat-9249	220	9	.	.	PUNCT
easat-9249	221	1	kimberly	kimberly	PROPN
easat-9249	221	2	is	be	AUX
easat-9249	221	3	in	in	ADP
easat-9249	221	4	the	the	DET
easat-9249	221	5	northern	northern	ADJ
easat-9249	221	6	cape	cape	NOUN
easat-9249	221	7	province	province	NOUN
easat-9249	221	8	,	,	PUNCT
easat-9249	221	9	mahikeng	mahikeng	PROPN
easat-9249	221	10	is	be	AUX
easat-9249	221	11	in	in	ADP
easat-9249	221	12	the	the	DET
easat-9249	221	13	north	north	NOUN
easat-9249	221	14	-	-	PUNCT
easat-9249	221	15	west	west	NOUN
easat-9249	221	16	province	province	NOUN
easat-9249	221	17	,	,	PUNCT
easat-9249	221	18	and	and	CCONJ
easat-9249	221	19	port	port	PROPN
easat-9249	221	20	elizabeth	elizabeth	PROPN
easat-9249	221	21	is	be	AUX
easat-9249	221	22	in	in	ADP
easat-9249	221	23	the	the	DET
easat-9249	221	24	eastern	eastern	ADJ
easat-9249	221	25	cape	cape	NOUN
easat-9249	221	26	province	province	NOUN
easat-9249	221	27	of	of	ADP
easat-9249	221	28	south	south	PROPN
easat-9249	221	29	africa	africa	PROPN
easat-9249	221	30	.	.	PUNCT
easat-9249	222	1	the	the	DET
easat-9249	222	2	result	result	NOUN
easat-9249	222	3	revealed	reveal	VERB
easat-9249	222	4	that	that	SCONJ
easat-9249	222	5	linear	linear	ADJ
easat-9249	222	6	regression	regression	NOUN
easat-9249	222	7	was	be	AUX
easat-9249	222	8	best	good	ADJ
easat-9249	222	9	for	for	ADP
easat-9249	222	10	rainfall	rainfall	NOUN
easat-9249	222	11	prediction	prediction	NOUN
easat-9249	222	12	in	in	ADP
easat-9249	222	13	kimberly	kimberly	NOUN
easat-9249	222	14	with	with	ADP
easat-9249	222	15	a	a	DET
easat-9249	222	16	correlation	correlation	NOUN
easat-9249	222	17	coefficient	coefficient	NOUN
easat-9249	222	18	of	of	ADP
easat-9249	222	19	0.85	0.85	NUM
easat-9249	222	20	and	and	CCONJ
easat-9249	222	21	coefficient	coefficient	NOUN
easat-9249	222	22	of	of	ADP
easat-9249	222	23	determination	determination	NOUN
easat-9249	222	24	of	of	ADP
easat-9249	222	25	0.82	0.82	NUM
easat-9249	222	26	,	,	PUNCT
easat-9249	222	27	as	as	SCONJ
easat-9249	222	28	seen	see	VERB
easat-9249	222	29	in	in	ADP
easat-9249	222	30	table	table	NOUN
easat-9249	222	31	5	5	NUM
easat-9249	222	32	.	.	PUNCT
easat-9249	223	1	these	these	DET
easat-9249	223	2	values	value	NOUN
easat-9249	223	3	were	be	AUX
easat-9249	223	4	equally	equally	ADV
easat-9249	223	5	high	high	ADJ
easat-9249	223	6	for	for	ADP
easat-9249	223	7	other	other	ADJ
easat-9249	223	8	models	model	NOUN
easat-9249	223	9	.	.	PUNCT
easat-9249	224	1	for	for	ADP
easat-9249	224	2	random	random	ADJ
easat-9249	224	3	forest	forest	NOUN
easat-9249	224	4	,	,	PUNCT
easat-9249	224	5	support	support	NOUN
easat-9249	224	6	vector	vector	NOUN
easat-9249	224	7	machine	machine	NOUN
easat-9249	224	8	,	,	PUNCT
easat-9249	224	9	ridge	ridge	NOUN
easat-9249	224	10	,	,	PUNCT
easat-9249	224	11	and	and	CCONJ
easat-9249	224	12	lasso	lasso	NOUN
easat-9249	224	13	,	,	PUNCT
easat-9249	224	14	the	the	DET
easat-9249	224	15	correlation	correlation	NOUN
easat-9249	224	16	coefficients	coefficient	NOUN
easat-9249	224	17	are	be	AUX
easat-9249	224	18	0.79	0.79	NUM
easat-9249	224	19	,	,	PUNCT
easat-9249	224	20	0.84	0.84	NUM
easat-9249	224	21	,	,	PUNCT
easat-9249	224	22	and	and	CCONJ
easat-9249	224	23	0.82	0.82	NUM
easat-9249	224	24	,	,	PUNCT
easat-9249	224	25	respectively	respectively	ADV
easat-9249	224	26	,	,	PUNCT
easat-9249	224	27	while	while	SCONJ
easat-9249	224	28	the	the	DET
easat-9249	224	29	coefficients	coefficient	NOUN
easat-9249	224	30	of	of	ADP
easat-9249	224	31	determination	determination	NOUN
easat-9249	224	32	for	for	ADP
easat-9249	224	33	these	these	DET
easat-9249	224	34	models	model	NOUN
easat-9249	224	35	are	be	AUX
easat-9249	224	36	0.59,0.61	0.59,0.61	NUM
easat-9249	224	37	and	and	CCONJ
easat-9249	224	38	0.68	0.68	NUM
easat-9249	224	39	.	.	PUNCT
easat-9249	225	1	also	also	ADV
easat-9249	225	2	,	,	PUNCT
easat-9249	225	3	high	high	ADJ
easat-9249	225	4	values	value	NOUN
easat-9249	225	5	were	be	AUX
easat-9249	225	6	obtained	obtain	VERB
easat-9249	225	7	for	for	ADP
easat-9249	225	8	all	all	DET
easat-9249	225	9	models	model	NOUN
easat-9249	225	10	in	in	ADP
easat-9249	225	11	mahikeng	mahikeng	PROPN
easat-9249	225	12	.	.	PUNCT
easat-9249	226	1	this	this	PRON
easat-9249	226	2	shows	show	VERB
easat-9249	226	3	that	that	SCONJ
easat-9249	226	4	these	these	DET
easat-9249	226	5	two	two	NUM
easat-9249	226	6	locations	location	NOUN
easat-9249	226	7	suit	suit	VERB
easat-9249	226	8	machine	machine	NOUN
easat-9249	226	9	learning	learning	NOUN
easat-9249	226	10	applications	application	NOUN
easat-9249	226	11	in	in	ADP
easat-9249	226	12	atmospheric	atmospheric	ADJ
easat-9249	226	13	sciences	science	NOUN
easat-9249	226	14	.	.	PUNCT
easat-9249	227	1	tladi	tladi	NOUN
easat-9249	227	2	,	,	PUNCT
easat-9249	227	3	et	et	PROPN
easat-9249	227	4	al	al	PROPN
easat-9249	227	5	.	.	PUNCT
easat-9249	228	1	[	[	X
easat-9249	228	2	22	22	NUM
easat-9249	228	3	]	]	PUNCT
easat-9249	228	4	conducted	conduct	VERB
easat-9249	228	5	a	a	DET
easat-9249	228	6	correlation	correlation	NOUN
easat-9249	228	7	analysis	analysis	NOUN
easat-9249	228	8	using	use	VERB
easat-9249	228	9	gradient	gradient	NOUN
easat-9249	228	10	boosting	boost	VERB
easat-9249	228	11	regression	regression	NOUN
easat-9249	228	12	on	on	ADP
easat-9249	228	13	the	the	DET
easat-9249	228	14	upper	upper	ADJ
easat-9249	228	15	crocodile	crocodile	NOUN
easat-9249	228	16	sub	sub	NOUN
easat-9249	228	17	-	-	NOUN
easat-9249	228	18	basin	basin	NOUN
easat-9249	228	19	,	,	PUNCT
easat-9249	228	20	which	which	PRON
easat-9249	228	21	cuts	cut	VERB
easat-9249	228	22	across	across	ADP
easat-9249	228	23	mahikeng	mahikeng	PROPN
easat-9249	228	24	.	.	PUNCT
easat-9249	229	1	their	their	PRON
easat-9249	229	2	results	result	NOUN
easat-9249	229	3	also	also	ADV
easat-9249	229	4	showed	show	VERB
easat-9249	229	5	that	that	SCONJ
easat-9249	229	6	the	the	DET
easat-9249	229	7	atmospheric	atmospheric	ADJ
easat-9249	229	8	parameters	parameter	NOUN
easat-9249	229	9	in	in	ADP
easat-9249	229	10	mahikeng	mahikeng	PROPN
easat-9249	229	11	are	be	AUX
easat-9249	229	12	suitable	suitable	ADJ
easat-9249	229	13	for	for	ADP
easat-9249	229	14	rainfall	rainfall	NOUN
easat-9249	229	15	prediction	prediction	NOUN
easat-9249	229	16	.	.	PUNCT
easat-9249	230	1	they	they	PRON
easat-9249	230	2	obtained	obtain	VERB
easat-9249	230	3	a	a	DET
easat-9249	230	4	coefficient	coefficient	NOUN
easat-9249	230	5	of	of	ADP
easat-9249	230	6	determination	determination	NOUN
easat-9249	230	7	of	of	ADP
easat-9249	230	8	about	about	ADV
easat-9249	230	9	0.80	0.80	NUM
easat-9249	230	10	,	,	PUNCT
easat-9249	230	11	mean	mean	ADJ
easat-9249	230	12	square	square	ADJ
easat-9249	230	13	values	value	NOUN
easat-9249	230	14	ranging	range	VERB
easat-9249	230	15	from	from	ADP
easat-9249	230	16	0.03	0.03	NUM
easat-9249	230	17	to	to	ADP
easat-9249	230	18	0.30	0.30	NUM
easat-9249	230	19	,	,	PUNCT
easat-9249	230	20	and	and	CCONJ
easat-9249	230	21	an	an	DET
easat-9249	230	22	average	average	ADJ
easat-9249	230	23	error	error	NOUN
easat-9249	230	24	ranging	range	VERB
easat-9249	230	25	from	from	ADP
easat-9249	230	26	0.12	0.12	NUM
easat-9249	230	27	to	to	ADP
easat-9249	230	28	0.50	0.50	NUM
easat-9249	230	29	.	.	PUNCT
easat-9249	231	1	these	these	DET
easat-9249	231	2	values	value	NOUN
easat-9249	231	3	were	be	AUX
easat-9249	231	4	lower	low	ADJ
easat-9249	231	5	than	than	ADP
easat-9249	231	6	what	what	PRON
easat-9249	231	7	was	be	AUX
easat-9249	231	8	obtained	obtain	VERB
easat-9249	231	9	in	in	ADP
easat-9249	231	10	this	this	DET
easat-9249	231	11	study	study	NOUN
easat-9249	231	12	.	.	PUNCT
easat-9249	232	1	this	this	PRON
easat-9249	232	2	may	may	AUX
easat-9249	232	3	be	be	AUX
easat-9249	232	4	attributed	attribute	VERB
easat-9249	232	5	to	to	ADP
easat-9249	232	6	their	their	PRON
easat-9249	232	7	study	study	NOUN
easat-9249	232	8	,	,	PUNCT
easat-9249	232	9	which	which	PRON
easat-9249	232	10	only	only	ADV
easat-9249	232	11	focuses	focus	VERB
easat-9249	232	12	on	on	ADP
easat-9249	232	13	groundwater	groundwater	NOUN
easat-9249	232	14	levels	level	NOUN
easat-9249	232	15	.	.	PUNCT
easat-9249	233	1	however	however	ADV
easat-9249	233	2	,	,	PUNCT
easat-9249	233	3	the	the	DET
easat-9249	233	4	correlation	correlation	NOUN
easat-9249	233	5	coefficients	coefficient	VERB
easat-9249	233	6	in	in	ADP
easat-9249	233	7	port	port	NOUN
easat-9249	233	8	elizabeth	elizabeth	PROPN
easat-9249	233	9	were	be	AUX
easat-9249	233	10	0.13	0.13	NUM
easat-9249	233	11	,	,	PUNCT
easat-9249	233	12	0.29	0.29	NUM
easat-9249	233	13	,	,	PUNCT
easat-9249	233	14	0.43	0.43	NUM
easat-9249	233	15	,	,	PUNCT
easat-9249	233	16	and	and	CCONJ
easat-9249	233	17	0.30	0.30	NUM
easat-9249	233	18	for	for	ADP
easat-9249	233	19	linear	linear	PROPN
easat-9249	233	20	regression	regression	NOUN
easat-9249	233	21	,	,	PUNCT
easat-9249	233	22	random	random	ADJ
easat-9249	233	23	forest	forest	NOUN
easat-9249	233	24	,	,	PUNCT
easat-9249	233	25	support	support	NOUN
easat-9249	233	26	vector	vector	NOUN
easat-9249	233	27	machine	machine	NOUN
easat-9249	233	28	,	,	PUNCT
easat-9249	233	29	and	and	CCONJ
easat-9249	233	30	ridge	ridge	NOUN
easat-9249	233	31	and	and	CCONJ
easat-9249	233	32	lasso	lasso	NOUN
easat-9249	233	33	,	,	PUNCT
easat-9249	233	34	respectively	respectively	ADV
easat-9249	233	35	.	.	PUNCT
easat-9249	234	1	the	the	DET
easat-9249	234	2	coefficient	coefficient	NOUN
easat-9249	234	3	of	of	ADP
easat-9249	234	4	determination	determination	NOUN
easat-9249	234	5	for	for	ADP
easat-9249	234	6	these	these	DET
easat-9249	234	7	models	model	NOUN
easat-9249	234	8	was	be	AUX
easat-9249	234	9	also	also	ADV
easat-9249	234	10	significantly	significantly	ADV
easat-9249	234	11	low	low	ADJ
easat-9249	234	12	.	.	PUNCT
easat-9249	235	1	yakubu	yakubu	PROPN
easat-9249	235	2	,	,	PUNCT
easat-9249	235	3	et	et	PROPN
easat-9249	235	4	al	al	PROPN
easat-9249	235	5	.	.	PUNCT
easat-9249	236	1	[	[	X
easat-9249	236	2	23	23	NUM
easat-9249	236	3	]	]	PUNCT
easat-9249	236	4	predicted	predict	VERB
easat-9249	236	5	-2	-2	NOUN
easat-9249	236	6	0	0	NUM
easat-9249	236	7	2	2	NUM
easat-9249	236	8	4	4	NUM
easat-9249	236	9	6	6	NUM
easat-9249	236	10	8	8	NUM
easat-9249	236	11	2015	2015	NUM
easat-9249	236	12	2016	2016	NUM
easat-9249	236	13	2017	2017	NUM
easat-9249	236	14	2018	2018	NUM
easat-9249	236	15	2019	2019	NUM
easat-9249	236	16	2020	2020	NUM
easat-9249	236	17	2021	2021	NUM
easat-9249	236	18	2022	2022	NUM
easat-9249	236	19	2023	2023	NUM
easat-9249	236	20	bristown	bristown	VERB
easat-9249	236	21	svm	svm	PROPN
easat-9249	236	22	actual	actual	ADJ
easat-9249	236	23	predicted	predict	VERB
easat-9249	236	24	-2	-2	INTJ
easat-9249	236	25	0	0	NUM
easat-9249	236	26	2	2	NUM
easat-9249	236	27	4	4	NUM
easat-9249	236	28	6	6	NUM
easat-9249	236	29	8	8	NUM
easat-9249	236	30	2015	2015	NUM
easat-9249	236	31	2016	2016	NUM
easat-9249	236	32	2017	2017	NUM
easat-9249	236	33	2018	2018	NUM
easat-9249	236	34	2019	2019	NUM
easat-9249	236	35	2020	2020	NUM
easat-9249	236	36	2021	2021	NUM
easat-9249	236	37	2022	2022	NUM
easat-9249	236	38	2023	2023	NUM
easat-9249	236	39	bristown	bristown	VERB
easat-9249	236	40	r&l	r&l	PROPN
easat-9249	236	41	actual	actual	ADJ
easat-9249	236	42	predicted	predict	VERB
easat-9249	236	43	166	166	NUM
easat-9249	236	44	edelweiss	edelweiss	PROPN
easat-9249	236	45	applied	apply	VERB
easat-9249	236	46	science	science	NOUN
easat-9249	236	47	and	and	CCONJ
easat-9249	236	48	technology	technology	NOUN
easat-9249	236	49	issn	issn	PROPN
easat-9249	236	50	:	:	PUNCT
easat-9249	236	51	2576	2576	NUM
easat-9249	236	52	-	-	SYM
easat-9249	236	53	8484	8484	NUM
easat-9249	236	54	vol	vol	NOUN
easat-9249	236	55	.	.	PROPN
easat-9249	237	1	9	9	NUM
easat-9249	237	2	,	,	PUNCT
easat-9249	237	3	no	no	INTJ
easat-9249	237	4	.	.	NOUN
easat-9249	237	5	8	8	NUM
easat-9249	237	6	:	:	SYM
easat-9249	237	7	148	148	NUM
easat-9249	237	8	-	-	SYM
easat-9249	237	9	178	178	NUM
easat-9249	237	10	,	,	PUNCT
easat-9249	237	11	2025	2025	NUM
easat-9249	237	12	doi	doi	NOUN
easat-9249	237	13	:	:	PUNCT
easat-9249	237	14	10.55214/2576	10.55214/2576	NUM
easat-9249	237	15	-	-	SYM
easat-9249	237	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	237	17	©	©	ADP
easat-9249	237	18	2025	2025	NUM
easat-9249	237	19	by	by	ADP
easat-9249	237	20	the	the	DET
easat-9249	237	21	authors	author	NOUN
easat-9249	237	22	;	;	PUNCT
easat-9249	237	23	licensee	licensee	PROPN
easat-9249	237	24	learning	learn	VERB
easat-9249	237	25	gate	gate	NOUN
easat-9249	237	26	precipitation	precipitation	NOUN
easat-9249	237	27	in	in	ADP
easat-9249	237	28	port	port	NOUN
easat-9249	237	29	elizabeth	elizabeth	PROPN
easat-9249	237	30	using	use	VERB
easat-9249	237	31	two	two	NUM
easat-9249	237	32	machine	machine	NOUN
easat-9249	237	33	learning	learning	NOUN
easat-9249	237	34	models	model	NOUN
easat-9249	237	35	–	–	PUNCT
easat-9249	237	36	multiple	multiple	ADJ
easat-9249	237	37	linear	linear	ADJ
easat-9249	237	38	regression	regression	NOUN
easat-9249	237	39	and	and	CCONJ
easat-9249	237	40	multilayered	multilayered	ADJ
easat-9249	237	41	perceptron	perceptron	PROPN
easat-9249	237	42	.	.	PUNCT
easat-9249	238	1	their	their	PRON
easat-9249	238	2	model	model	NOUN
easat-9249	238	3	used	use	VERB
easat-9249	238	4	five	five	NUM
easat-9249	238	5	cloud	cloud	ADJ
easat-9249	238	6	properties	property	NOUN
easat-9249	238	7	:	:	PUNCT
easat-9249	238	8	cloud	cloud	ADJ
easat-9249	238	9	optical	optical	ADJ
easat-9249	238	10	thickness	thickness	NOUN
easat-9249	238	11	,	,	PUNCT
easat-9249	238	12	cloud	cloud	ADJ
easat-9249	238	13	effective	effective	ADJ
easat-9249	238	14	radius	radius	NOUN
easat-9249	238	15	,	,	PUNCT
easat-9249	238	16	cloud	cloud	ADJ
easat-9249	238	17	top	top	ADJ
easat-9249	238	18	temperature	temperature	NOUN
easat-9249	238	19	,	,	PUNCT
easat-9249	238	20	cloud	cloud	ADJ
easat-9249	238	21	top	top	ADJ
easat-9249	238	22	pressure	pressure	NOUN
easat-9249	238	23	,	,	PUNCT
easat-9249	238	24	and	and	CCONJ
easat-9249	238	25	liquid	liquid	ADJ
easat-9249	238	26	water	water	NOUN
easat-9249	238	27	path	path	NOUN
easat-9249	238	28	.	.	PUNCT
easat-9249	239	1	their	their	PRON
easat-9249	239	2	result	result	NOUN
easat-9249	239	3	showed	show	VERB
easat-9249	239	4	a	a	DET
easat-9249	239	5	correlation	correlation	NOUN
easat-9249	239	6	coefficient	coefficient	NOUN
easat-9249	239	7	above	above	ADP
easat-9249	239	8	0.70	0.70	NUM
easat-9249	239	9	.	.	PUNCT
easat-9249	240	1	this	this	PRON
easat-9249	240	2	may	may	AUX
easat-9249	240	3	be	be	AUX
easat-9249	240	4	responsible	responsible	ADJ
easat-9249	240	5	for	for	ADP
easat-9249	240	6	the	the	DET
easat-9249	240	7	low	low	ADJ
easat-9249	240	8	values	value	NOUN
easat-9249	240	9	obtained	obtain	VERB
easat-9249	240	10	in	in	ADP
easat-9249	240	11	port	port	PROPN
easat-9249	240	12	elizabeth	elizabeth	PROPN
easat-9249	240	13	,	,	PUNCT
easat-9249	240	14	as	as	SCONJ
easat-9249	240	15	only	only	ADV
easat-9249	240	16	one	one	NUM
easat-9249	240	17	cloud	cloud	NOUN
easat-9249	240	18	property	property	NOUN
easat-9249	240	19	was	be	AUX
easat-9249	240	20	used	use	VERB
easat-9249	240	21	in	in	ADP
easat-9249	240	22	this	this	DET
easat-9249	240	23	study	study	NOUN
easat-9249	240	24	.	.	PUNCT
easat-9249	241	1	in	in	ADP
easat-9249	241	2	subsequent	subsequent	ADJ
easat-9249	241	3	studies	study	NOUN
easat-9249	241	4	,	,	PUNCT
easat-9249	241	5	other	other	ADJ
easat-9249	241	6	cloud	cloud	NOUN
easat-9249	241	7	properties	property	NOUN
easat-9249	241	8	can	can	AUX
easat-9249	241	9	be	be	AUX
easat-9249	241	10	used	use	VERB
easat-9249	241	11	as	as	ADP
easat-9249	241	12	parameters	parameter	NOUN
easat-9249	241	13	for	for	ADP
easat-9249	241	14	rainfall	rainfall	NOUN
easat-9249	241	15	prediction	prediction	NOUN
easat-9249	241	16	to	to	PART
easat-9249	241	17	determine	determine	VERB
easat-9249	241	18	if	if	SCONJ
easat-9249	241	19	they	they	PRON
easat-9249	241	20	will	will	AUX
easat-9249	241	21	perform	perform	VERB
easat-9249	241	22	better	well	ADJ
easat-9249	241	23	than	than	ADP
easat-9249	241	24	the	the	DET
easat-9249	241	25	selected	select	VERB
easat-9249	241	26	atmospheric	atmospheric	ADJ
easat-9249	241	27	parameters	parameter	NOUN
easat-9249	241	28	.	.	PUNCT
easat-9249	242	1	figure	figure	VERB
easat-9249	242	2	4	4	NUM
easat-9249	242	3	shows	show	VERB
easat-9249	242	4	the	the	DET
easat-9249	242	5	temporal	temporal	ADJ
easat-9249	242	6	variation	variation	NOUN
easat-9249	242	7	in	in	ADP
easat-9249	242	8	rainfall	rainfall	NOUN
easat-9249	242	9	for	for	ADP
easat-9249	242	10	various	various	ADJ
easat-9249	242	11	locations	location	NOUN
easat-9249	242	12	using	use	VERB
easat-9249	242	13	different	different	ADJ
easat-9249	242	14	models	model	NOUN
easat-9249	242	15	.	.	PUNCT
easat-9249	243	1	the	the	DET
easat-9249	243	2	result	result	NOUN
easat-9249	243	3	also	also	ADV
easat-9249	243	4	revealed	reveal	VERB
easat-9249	243	5	a	a	DET
easat-9249	243	6	consistent	consistent	ADJ
easat-9249	243	7	pattern	pattern	NOUN
easat-9249	243	8	in	in	ADP
easat-9249	243	9	modeling	model	VERB
easat-9249	243	10	all	all	DET
easat-9249	243	11	models	model	NOUN
easat-9249	243	12	'	'	PART
easat-9249	243	13	interannual	interannual	ADJ
easat-9249	243	14	variation	variation	NOUN
easat-9249	243	15	in	in	ADP
easat-9249	243	16	rainfall	rainfall	NOUN
easat-9249	243	17	.	.	PUNCT
easat-9249	244	1	for	for	ADP
easat-9249	244	2	kimberly	kimberly	NOUN
easat-9249	244	3	,	,	PUNCT
easat-9249	244	4	random	random	ADJ
easat-9249	244	5	forest	forest	NOUN
easat-9249	244	6	,	,	PUNCT
easat-9249	244	7	ridge	ridge	NOUN
easat-9249	244	8	,	,	PUNCT
easat-9249	244	9	and	and	CCONJ
easat-9249	244	10	lasso	lasso	NOUN
easat-9249	244	11	almost	almost	ADV
easat-9249	244	12	accurately	accurately	ADV
easat-9249	244	13	estimated	estimate	VERB
easat-9249	244	14	the	the	DET
easat-9249	244	15	amount	amount	NOUN
easat-9249	244	16	of	of	ADP
easat-9249	244	17	rainfall	rainfall	NOUN
easat-9249	244	18	received	receive	VERB
easat-9249	244	19	.	.	PUNCT
easat-9249	245	1	however	however	ADV
easat-9249	245	2	,	,	PUNCT
easat-9249	245	3	there	there	PRON
easat-9249	245	4	was	be	VERB
easat-9249	245	5	an	an	DET
easat-9249	245	6	overestimation	overestimation	NOUN
easat-9249	245	7	of	of	ADP
easat-9249	245	8	rainfall	rainfall	NOUN
easat-9249	245	9	by	by	ADP
easat-9249	245	10	random	random	ADJ
easat-9249	245	11	forest	forest	NOUN
easat-9249	245	12	in	in	ADP
easat-9249	245	13	2015	2015	NUM
easat-9249	245	14	;	;	PUNCT
easat-9249	245	15	perhaps	perhaps	ADV
easat-9249	245	16	the	the	DET
easat-9249	245	17	model	model	NOUN
easat-9249	245	18	still	still	ADV
easat-9249	245	19	understands	understand	VERB
easat-9249	245	20	the	the	DET
easat-9249	245	21	datasets	dataset	NOUN
easat-9249	245	22	.	.	PUNCT
easat-9249	246	1	support	support	NOUN
easat-9249	246	2	vector	vector	NOUN
easat-9249	246	3	machine	machine	NOUN
easat-9249	246	4	had	have	VERB
easat-9249	246	5	a	a	DET
easat-9249	246	6	better	well	ADJ
easat-9249	246	7	predictive	predictive	ADJ
easat-9249	246	8	performance	performance	NOUN
easat-9249	246	9	in	in	ADP
easat-9249	246	10	2023	2023	NUM
easat-9249	246	11	for	for	ADP
easat-9249	246	12	kimberly	kimberly	NOUN
easat-9249	246	13	.	.	PUNCT
easat-9249	247	1	a	a	DET
easat-9249	247	2	similar	similar	ADJ
easat-9249	247	3	pattern	pattern	NOUN
easat-9249	247	4	is	be	AUX
easat-9249	247	5	also	also	ADV
easat-9249	247	6	observed	observe	VERB
easat-9249	247	7	in	in	ADP
easat-9249	247	8	mahikeng	mahikeng	PROPN
easat-9249	247	9	.	.	PUNCT
easat-9249	248	1	however	however	ADV
easat-9249	248	2	,	,	PUNCT
easat-9249	248	3	there	there	PRON
easat-9249	248	4	was	be	VERB
easat-9249	248	5	an	an	DET
easat-9249	248	6	overestimation	overestimation	NOUN
easat-9249	248	7	of	of	ADP
easat-9249	248	8	rainfall	rainfall	NOUN
easat-9249	248	9	in	in	ADP
easat-9249	248	10	2021	2021	NUM
easat-9249	248	11	,	,	PUNCT
easat-9249	248	12	which	which	PRON
easat-9249	248	13	none	none	NOUN
easat-9249	248	14	of	of	ADP
easat-9249	248	15	the	the	DET
easat-9249	248	16	models	model	NOUN
easat-9249	248	17	could	could	AUX
easat-9249	248	18	accurately	accurately	ADV
easat-9249	248	19	predict	predict	VERB
easat-9249	248	20	.	.	PUNCT
easat-9249	249	1	all	all	DET
easat-9249	249	2	the	the	DET
easat-9249	249	3	models	model	NOUN
easat-9249	249	4	estimated	estimate	VERB
easat-9249	249	5	the	the	DET
easat-9249	249	6	seasonal	seasonal	ADJ
easat-9249	249	7	variability	variability	NOUN
easat-9249	249	8	well	well	ADV
easat-9249	249	9	.	.	PUNCT
easat-9249	250	1	despite	despite	SCONJ
easat-9249	250	2	low	low	ADJ
easat-9249	250	3	evaluation	evaluation	NOUN
easat-9249	250	4	metrics	metric	NOUN
easat-9249	250	5	for	for	ADP
easat-9249	250	6	port	port	NOUN
easat-9249	250	7	elizabeth	elizabeth	PROPN
easat-9249	250	8	,	,	PUNCT
easat-9249	250	9	the	the	DET
easat-9249	250	10	models	model	NOUN
easat-9249	250	11	also	also	ADV
easat-9249	250	12	performed	perform	VERB
easat-9249	250	13	well	well	ADV
easat-9249	250	14	in	in	ADP
easat-9249	250	15	predicting	predict	VERB
easat-9249	250	16	the	the	DET
easat-9249	250	17	seasonality	seasonality	NOUN
easat-9249	250	18	of	of	ADP
easat-9249	250	19	rainfall	rainfall	NOUN
easat-9249	250	20	for	for	ADP
easat-9249	250	21	the	the	DET
easat-9249	250	22	right	right	ADJ
easat-9249	250	23	years	year	NOUN
easat-9249	250	24	of	of	ADP
easat-9249	250	25	prediction	prediction	NOUN
easat-9249	250	26	.	.	PUNCT
easat-9249	251	1	however	however	ADV
easat-9249	251	2	,	,	PUNCT
easat-9249	251	3	it	it	PRON
easat-9249	251	4	underestimated	underestimate	VERB
easat-9249	251	5	rainfall	rainfall	NOUN
easat-9249	251	6	in	in	ADP
easat-9249	251	7	2019	2019	NUM
easat-9249	251	8	and	and	CCONJ
easat-9249	251	9	2023	2023	NUM
easat-9249	251	10	.	.	PUNCT
easat-9249	252	1	table	table	NOUN
easat-9249	252	2	4	4	NUM
easat-9249	252	3	.	.	PUNCT
easat-9249	252	4	shows	show	VERB
easat-9249	252	5	model	model	NOUN
easat-9249	252	6	evaluation	evaluation	NOUN
easat-9249	252	7	metrics	metric	NOUN
easat-9249	252	8	for	for	ADP
easat-9249	252	9	hot	hot	ADJ
easat-9249	252	10	and	and	CCONJ
easat-9249	252	11	semi	semi	ADJ
easat-9249	252	12	-	-	ADJ
easat-9249	252	13	arid	arid	ADJ
easat-9249	252	14	steppe	steppe	NOUN
easat-9249	252	15	climate	climate	NOUN
easat-9249	252	16	classification	classification	NOUN
easat-9249	252	17	.	.	PUNCT
easat-9249	253	1	linear	linear	ADJ
easat-9249	253	2	regression	regression	NOUN
easat-9249	253	3	locations	location	NOUN
easat-9249	253	4	mae	mae	PROPN
easat-9249	253	5	mse	mse	PROPN
easat-9249	253	6	rmse	rmse	PROPN
easat-9249	253	7	r	r	NOUN
easat-9249	253	8	r	r	NOUN
easat-9249	253	9	-	-	PUNCT
easat-9249	253	10	square	square	ADJ
easat-9249	253	11	kimberly	kimberly	NOUN
easat-9249	253	12	0.93	0.93	NUM
easat-9249	253	13	1.35	1.35	NUM
easat-9249	253	14	1.16	1.16	NUM
easat-9249	253	15	0.85	0.85	NUM
easat-9249	253	16	0.82	0.82	NUM
easat-9249	253	17	mahikeng	mahikeng	PROPN
easat-9249	253	18	1.09	1.09	NUM
easat-9249	253	19	1.85	1.85	NUM
easat-9249	253	20	1.36	1.36	NUM
easat-9249	253	21	0.75	0.75	NUM
easat-9249	253	22	0.84	0.84	NUM
easat-9249	253	23	port	port	NOUN
easat-9249	253	24	elizabeth	elizabeth	PROPN
easat-9249	253	25	0.76	0.76	NUM
easat-9249	253	26	0.94	0.94	NUM
easat-9249	253	27	0.97	0.97	NUM
easat-9249	253	28	0.13	0.13	NUM
easat-9249	253	29	0.28	0.28	NUM
easat-9249	253	30	random	random	ADJ
easat-9249	253	31	forest	forest	NOUN
easat-9249	253	32	kimberly	kimberly	NOUN
easat-9249	253	33	0.89	0.89	NUM
easat-9249	253	34	1.75	1.75	NUM
easat-9249	253	35	1.32	1.32	NUM
easat-9249	253	36	0.79	0.79	NUM
easat-9249	253	37	0.59	0.59	NUM
easat-9249	253	38	mahikeng	mahikeng	PROPN
easat-9249	253	39	0.94	0.94	NUM
easat-9249	253	40	2.14	2.14	NUM
easat-9249	253	41	1.46	1.46	NUM
easat-9249	253	42	0.78	0.78	NUM
easat-9249	253	43	0.60	0.60	NUM
easat-9249	253	44	port	port	NOUN
easat-9249	253	45	elizabeth	elizabeth	PROPN
easat-9249	253	46	0.82	0.82	NUM
easat-9249	253	47	1.17	1.17	NUM
easat-9249	253	48	1.08	1.08	NUM
easat-9249	253	49	0.29	0.29	NUM
easat-9249	253	50	0.01	0.01	NUM
easat-9249	253	51	support	support	NOUN
easat-9249	253	52	vector	vector	NOUN
easat-9249	253	53	machine	machine	NOUN
easat-9249	253	54	kimberly	kimberly	ADV
easat-9249	253	55	0.86	0.86	NUM
easat-9249	253	56	1.65	1.65	NUM
easat-9249	253	57	1.29	1.29	NUM
easat-9249	253	58	0.84	0.84	NUM
easat-9249	253	59	0.61	0.61	NUM
easat-9249	253	60	mahikeng	mahikeng	PROPN
easat-9249	253	61	0.91	0.91	NUM
easat-9249	253	62	2.22	2.22	NUM
easat-9249	253	63	1.49	1.49	NUM
easat-9249	253	64	0.78	0.78	NUM
easat-9249	253	65	0.59	0.59	NUM
easat-9249	253	66	port	port	NOUN
easat-9249	253	67	elizabeth	elizabeth	PROPN
easat-9249	253	68	0.78	0.78	NUM
easat-9249	253	69	1.19	1.19	NUM
easat-9249	253	70	1.09	1.09	NUM
easat-9249	253	71	0.43	0.43	NUM
easat-9249	253	72	-0.01	-0.01	NUM
easat-9249	253	73	ridge	ridge	NOUN
easat-9249	253	74	and	and	CCONJ
easat-9249	253	75	lasso	lasso	NOUN
easat-9249	253	76	kimberly	kimberly	ADV
easat-9249	253	77	0.97	0.97	NUM
easat-9249	253	78	1.83	1.83	NUM
easat-9249	253	79	1.35	1.35	NUM
easat-9249	253	80	0.82	0.82	NUM
easat-9249	253	81	0.68	0.68	NUM
easat-9249	253	82	mahikeng	mahikeng	PROPN
easat-9249	253	83	1.06	1.06	NUM
easat-9249	253	84	2.55	2.55	NUM
easat-9249	253	85	1.60	1.60	NUM
easat-9249	253	86	0.75	0.75	NUM
easat-9249	253	87	0.67	0.67	NUM
easat-9249	253	88	port	port	NOUN
easat-9249	253	89	elizabeth	elizabeth	PROPN
easat-9249	253	90	0.78	0.78	NUM
easat-9249	253	91	1.10	1.10	NUM
easat-9249	253	92	1.05	1.05	NUM
easat-9249	253	93	0.30	0.30	NUM
easat-9249	253	94	0.47	0.47	NUM
easat-9249	253	95	167	167	NUM
easat-9249	253	96	edelweiss	edelweiss	PROPN
easat-9249	253	97	applied	apply	VERB
easat-9249	253	98	science	science	NOUN
easat-9249	253	99	and	and	CCONJ
easat-9249	253	100	technology	technology	NOUN
easat-9249	253	101	issn	issn	PROPN
easat-9249	253	102	:	:	PUNCT
easat-9249	253	103	2576	2576	NUM
easat-9249	253	104	-	-	SYM
easat-9249	253	105	8484	8484	NUM
easat-9249	253	106	vol	vol	NOUN
easat-9249	253	107	.	.	PROPN
easat-9249	254	1	9	9	NUM
easat-9249	254	2	,	,	PUNCT
easat-9249	254	3	no	no	INTJ
easat-9249	254	4	.	.	NOUN
easat-9249	254	5	8	8	NUM
easat-9249	254	6	:	:	SYM
easat-9249	254	7	148	148	NUM
easat-9249	254	8	-	-	SYM
easat-9249	254	9	178	178	NUM
easat-9249	254	10	,	,	PUNCT
easat-9249	254	11	2025	2025	NUM
easat-9249	254	12	doi	doi	NOUN
easat-9249	254	13	:	:	PUNCT
easat-9249	254	14	10.55214/2576	10.55214/2576	NUM
easat-9249	254	15	-	-	SYM
easat-9249	254	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	254	17	©	©	ADP
easat-9249	254	18	2025	2025	NUM
easat-9249	254	19	by	by	ADP
easat-9249	254	20	the	the	DET
easat-9249	254	21	authors	author	NOUN
easat-9249	254	22	;	;	PUNCT
easat-9249	254	23	licensee	licensee	PROPN
easat-9249	254	24	learning	learn	VERB
easat-9249	254	25	gate	gate	NOUN
easat-9249	255	1	-2	-2	NOUN
easat-9249	255	2	0	0	NUM
easat-9249	255	3	2	2	NUM
easat-9249	255	4	4	4	NUM
easat-9249	255	5	6	6	NUM
easat-9249	255	6	8	8	NUM
easat-9249	255	7	2015	2015	NUM
easat-9249	255	8	2016	2016	NUM
easat-9249	255	9	2017	2017	NUM
easat-9249	255	10	2018	2018	NUM
easat-9249	255	11	2019	2019	NUM
easat-9249	255	12	2020	2020	NUM
easat-9249	255	13	2021	2021	NUM
easat-9249	255	14	2022	2022	NUM
easat-9249	255	15	2023	2023	NUM
easat-9249	255	16	kimberly	kimberly	ADV
easat-9249	255	17	lr	lr	X
easat-9249	255	18	actual	actual	ADJ
easat-9249	255	19	predicted	predict	VERB
easat-9249	255	20	0	0	NUM
easat-9249	255	21	2	2	NUM
easat-9249	255	22	4	4	NUM
easat-9249	255	23	6	6	NUM
easat-9249	255	24	8	8	NUM
easat-9249	255	25	10	10	NUM
easat-9249	255	26	2015	2015	NUM
easat-9249	255	27	2016	2016	NUM
easat-9249	255	28	2017	2017	NUM
easat-9249	255	29	2018	2018	NUM
easat-9249	255	30	2019	2019	NUM
easat-9249	255	31	2020	2020	NUM
easat-9249	255	32	2021	2021	NUM
easat-9249	255	33	2022	2022	NUM
easat-9249	255	34	2023	2023	NUM
easat-9249	255	35	kimberly	kimberly	NOUN
easat-9249	255	36	rf	rf	ADJ
easat-9249	255	37	actual	actual	ADJ
easat-9249	255	38	predicted	predict	VERB
easat-9249	255	39	-2	-2	INTJ
easat-9249	255	40	0	0	NUM
easat-9249	255	41	2	2	NUM
easat-9249	255	42	4	4	NUM
easat-9249	255	43	6	6	NUM
easat-9249	255	44	8	8	NUM
easat-9249	255	45	2015	2015	NUM
easat-9249	255	46	2016	2016	NUM
easat-9249	255	47	2017	2017	NUM
easat-9249	255	48	2018	2018	NUM
easat-9249	255	49	2019	2019	NUM
easat-9249	255	50	2020	2020	NUM
easat-9249	255	51	2021	2021	NUM
easat-9249	255	52	2022	2022	NUM
easat-9249	255	53	2023	2023	NUM
easat-9249	255	54	kimberly	kimberly	ADV
easat-9249	255	55	svm	svm	VERB
easat-9249	255	56	actual	actual	ADJ
easat-9249	255	57	predicted	predict	VERB
easat-9249	255	58	168	168	NUM
easat-9249	255	59	edelweiss	edelweiss	PROPN
easat-9249	255	60	applied	apply	VERB
easat-9249	255	61	science	science	NOUN
easat-9249	255	62	and	and	CCONJ
easat-9249	255	63	technology	technology	NOUN
easat-9249	255	64	issn	issn	PROPN
easat-9249	255	65	:	:	PUNCT
easat-9249	255	66	2576	2576	NUM
easat-9249	255	67	-	-	SYM
easat-9249	255	68	8484	8484	NUM
easat-9249	255	69	vol	vol	NOUN
easat-9249	255	70	.	.	PROPN
easat-9249	256	1	9	9	NUM
easat-9249	256	2	,	,	PUNCT
easat-9249	256	3	no	no	INTJ
easat-9249	256	4	.	.	NOUN
easat-9249	256	5	8	8	NUM
easat-9249	256	6	:	:	SYM
easat-9249	256	7	148	148	NUM
easat-9249	256	8	-	-	SYM
easat-9249	256	9	178	178	NUM
easat-9249	256	10	,	,	PUNCT
easat-9249	256	11	2025	2025	NUM
easat-9249	256	12	doi	doi	NOUN
easat-9249	256	13	:	:	PUNCT
easat-9249	256	14	10.55214/2576	10.55214/2576	NUM
easat-9249	256	15	-	-	SYM
easat-9249	256	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	256	17	©	©	ADP
easat-9249	256	18	2025	2025	NUM
easat-9249	256	19	by	by	ADP
easat-9249	256	20	the	the	DET
easat-9249	256	21	authors	author	NOUN
easat-9249	256	22	;	;	PUNCT
easat-9249	256	23	licensee	licensee	PROPN
easat-9249	256	24	learning	learn	VERB
easat-9249	256	25	gate	gate	NOUN
easat-9249	257	1	-2	-2	NOUN
easat-9249	257	2	0	0	NUM
easat-9249	257	3	2	2	NUM
easat-9249	257	4	4	4	NUM
easat-9249	257	5	6	6	NUM
easat-9249	257	6	8	8	NUM
easat-9249	257	7	2015	2015	NUM
easat-9249	257	8	2016	2016	NUM
easat-9249	257	9	2017	2017	NUM
easat-9249	257	10	2018	2018	NUM
easat-9249	257	11	2019	2019	NUM
easat-9249	257	12	2020	2020	NUM
easat-9249	257	13	2021	2021	NUM
easat-9249	257	14	2022	2022	NUM
easat-9249	257	15	2023	2023	NUM
easat-9249	257	16	kimberly	kimberly	ADV
easat-9249	257	17	r&l	r&l	PROPN
easat-9249	257	18	actual	actual	ADJ
easat-9249	257	19	predicted	predict	VERB
easat-9249	257	20	-5	-5	PROPN
easat-9249	257	21	0	0	NUM
easat-9249	257	22	5	5	NUM
easat-9249	257	23	10	10	NUM
easat-9249	257	24	15	15	NUM
easat-9249	257	25	2015	2015	NUM
easat-9249	257	26	2016	2016	NUM
easat-9249	257	27	2017	2017	NUM
easat-9249	257	28	2018	2018	NUM
easat-9249	257	29	2019	2019	NUM
easat-9249	257	30	2020	2020	NUM
easat-9249	257	31	2021	2021	NUM
easat-9249	257	32	2022	2022	NUM
easat-9249	257	33	2023	2023	NUM
easat-9249	257	34	mahikeng	mahikeng	PROPN
easat-9249	257	35	lr	lr	PROPN
easat-9249	257	36	actual	actual	ADJ
easat-9249	257	37	predicted	predict	VERB
easat-9249	257	38	0	0	NUM
easat-9249	257	39	5	5	NUM
easat-9249	257	40	10	10	NUM
easat-9249	257	41	15	15	NUM
easat-9249	257	42	2015	2015	NUM
easat-9249	257	43	2016	2016	NUM
easat-9249	257	44	2017	2017	NUM
easat-9249	257	45	2018	2018	NUM
easat-9249	257	46	2019	2019	NUM
easat-9249	257	47	2020	2020	NUM
easat-9249	257	48	2021	2021	NUM
easat-9249	257	49	2022	2022	NUM
easat-9249	257	50	2023	2023	NUM
easat-9249	258	1	mahikeng	mahikeng	PROPN
easat-9249	258	2	rf	rf	ADJ
easat-9249	258	3	actual	actual	ADJ
easat-9249	258	4	predicted	predict	VERB
easat-9249	258	5	169	169	NUM
easat-9249	258	6	edelweiss	edelweiss	PROPN
easat-9249	258	7	applied	apply	VERB
easat-9249	258	8	science	science	NOUN
easat-9249	258	9	and	and	CCONJ
easat-9249	258	10	technology	technology	NOUN
easat-9249	258	11	issn	issn	PROPN
easat-9249	258	12	:	:	PUNCT
easat-9249	258	13	2576	2576	NUM
easat-9249	258	14	-	-	SYM
easat-9249	258	15	8484	8484	NUM
easat-9249	258	16	vol	vol	NOUN
easat-9249	258	17	.	.	PROPN
easat-9249	259	1	9	9	NUM
easat-9249	259	2	,	,	PUNCT
easat-9249	259	3	no	no	INTJ
easat-9249	259	4	.	.	NOUN
easat-9249	259	5	8	8	NUM
easat-9249	259	6	:	:	SYM
easat-9249	259	7	148	148	NUM
easat-9249	259	8	-	-	SYM
easat-9249	259	9	178	178	NUM
easat-9249	259	10	,	,	PUNCT
easat-9249	259	11	2025	2025	NUM
easat-9249	259	12	doi	doi	NOUN
easat-9249	259	13	:	:	PUNCT
easat-9249	259	14	10.55214/2576	10.55214/2576	NUM
easat-9249	259	15	-	-	SYM
easat-9249	259	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	259	17	©	©	ADP
easat-9249	259	18	2025	2025	NUM
easat-9249	259	19	by	by	ADP
easat-9249	259	20	the	the	DET
easat-9249	259	21	authors	author	NOUN
easat-9249	259	22	;	;	PUNCT
easat-9249	259	23	licensee	licensee	PROPN
easat-9249	259	24	learning	learn	VERB
easat-9249	259	25	gate	gate	NOUN
easat-9249	259	26	-5	-5	ADP
easat-9249	259	27	0	0	NUM
easat-9249	259	28	5	5	NUM
easat-9249	259	29	10	10	NUM
easat-9249	259	30	15	15	NUM
easat-9249	259	31	2015	2015	NUM
easat-9249	259	32	2016	2016	NUM
easat-9249	259	33	2017	2017	NUM
easat-9249	259	34	2018	2018	NUM
easat-9249	259	35	2019	2019	NUM
easat-9249	259	36	2020	2020	NUM
easat-9249	259	37	2021	2021	NUM
easat-9249	259	38	2022	2022	NUM
easat-9249	259	39	2023	2023	NUM
easat-9249	259	40	mahikeng	mahikeng	PROPN
easat-9249	259	41	svm	svm	PROPN
easat-9249	259	42	actual	actual	ADJ
easat-9249	259	43	predicted	predict	VERB
easat-9249	259	44	-5	-5	PROPN
easat-9249	259	45	0	0	NUM
easat-9249	259	46	5	5	NUM
easat-9249	259	47	10	10	NUM
easat-9249	259	48	15	15	NUM
easat-9249	259	49	2015	2015	NUM
easat-9249	259	50	2016	2016	NUM
easat-9249	259	51	2017	2017	NUM
easat-9249	259	52	2018	2018	NUM
easat-9249	259	53	2019	2019	NUM
easat-9249	259	54	2020	2020	NUM
easat-9249	259	55	2021	2021	NUM
easat-9249	259	56	2022	2022	NUM
easat-9249	259	57	2023	2023	NUM
easat-9249	259	58	mahikeng	mahikeng	PROPN
easat-9249	259	59	r&l	r&l	PROPN
easat-9249	259	60	actual	actual	ADJ
easat-9249	259	61	predicted	predict	VERB
easat-9249	259	62	0	0	NUM
easat-9249	259	63	2	2	NUM
easat-9249	259	64	4	4	NUM
easat-9249	259	65	6	6	NUM
easat-9249	259	66	2015	2015	NUM
easat-9249	259	67	2016	2016	NUM
easat-9249	259	68	2017	2017	NUM
easat-9249	259	69	2018	2018	NUM
easat-9249	259	70	2019	2019	NUM
easat-9249	259	71	2020	2020	NUM
easat-9249	259	72	2021	2021	NUM
easat-9249	259	73	2022	2022	NUM
easat-9249	259	74	2023	2023	NUM
easat-9249	259	75	port	port	NOUN
easat-9249	259	76	elizabeth	elizabeth	PROPN
easat-9249	259	77	lr	lr	PROPN
easat-9249	259	78	actual	actual	ADJ
easat-9249	259	79	predicted	predict	VERB
easat-9249	259	80	170	170	NUM
easat-9249	259	81	edelweiss	edelweiss	PROPN
easat-9249	259	82	applied	apply	VERB
easat-9249	259	83	science	science	NOUN
easat-9249	259	84	and	and	CCONJ
easat-9249	259	85	technology	technology	NOUN
easat-9249	259	86	issn	issn	PROPN
easat-9249	259	87	:	:	PUNCT
easat-9249	259	88	2576	2576	NUM
easat-9249	259	89	-	-	SYM
easat-9249	259	90	8484	8484	NUM
easat-9249	259	91	vol	vol	NOUN
easat-9249	259	92	.	.	PROPN
easat-9249	260	1	9	9	NUM
easat-9249	260	2	,	,	PUNCT
easat-9249	260	3	no	no	INTJ
easat-9249	260	4	.	.	NOUN
easat-9249	260	5	8	8	NUM
easat-9249	260	6	:	:	SYM
easat-9249	260	7	148	148	NUM
easat-9249	260	8	-	-	SYM
easat-9249	260	9	178	178	NUM
easat-9249	260	10	,	,	PUNCT
easat-9249	260	11	2025	2025	NUM
easat-9249	260	12	doi	doi	NOUN
easat-9249	260	13	:	:	PUNCT
easat-9249	260	14	10.55214/2576	10.55214/2576	NUM
easat-9249	260	15	-	-	SYM
easat-9249	260	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	260	17	©	©	ADP
easat-9249	260	18	2025	2025	NUM
easat-9249	260	19	by	by	ADP
easat-9249	260	20	the	the	DET
easat-9249	260	21	authors	author	NOUN
easat-9249	260	22	;	;	PUNCT
easat-9249	261	1	licensee	licensee	PROPN
easat-9249	261	2	learning	learn	VERB
easat-9249	261	3	gate	gate	NOUN
easat-9249	261	4	figure	figure	NOUN
easat-9249	261	5	4	4	NUM
easat-9249	261	6	.	.	PUNCT
easat-9249	261	7	shows	show	VERB
easat-9249	261	8	the	the	DET
easat-9249	261	9	predicted	predict	VERB
easat-9249	261	10	and	and	CCONJ
easat-9249	261	11	actual	actual	ADJ
easat-9249	261	12	rainfall	rainfall	NOUN
easat-9249	261	13	for	for	ADP
easat-9249	261	14	models	model	NOUN
easat-9249	261	15	used	use	VERB
easat-9249	261	16	and	and	CCONJ
easat-9249	261	17	locations	location	NOUN
easat-9249	261	18	under	under	ADP
easat-9249	261	19	the	the	DET
easat-9249	261	20	hot	hot	ADJ
easat-9249	261	21	and	and	CCONJ
easat-9249	261	22	semi	semi	ADJ
easat-9249	261	23	-	-	ADJ
easat-9249	261	24	arid	arid	ADJ
easat-9249	261	25	steppe	steppe	NOUN
easat-9249	261	26	climate	climate	NOUN
easat-9249	261	27	classification	classification	NOUN
easat-9249	261	28	.	.	PUNCT
easat-9249	262	1	3.2.4	3.2.4	X
easat-9249	262	2	.	.	PUNCT
easat-9249	262	3	hot	hot	ADJ
easat-9249	262	4	arid	arid	NOUN
easat-9249	262	5	desert	desert	NOUN
easat-9249	262	6	this	this	PRON
easat-9249	262	7	is	be	AUX
easat-9249	262	8	the	the	DET
easat-9249	262	9	last	last	ADJ
easat-9249	262	10	zone	zone	NOUN
easat-9249	262	11	under	under	ADP
easat-9249	262	12	the	the	DET
easat-9249	262	13	arid	arid	NOUN
easat-9249	262	14	climate	climate	NOUN
easat-9249	262	15	classification	classification	NOUN
easat-9249	262	16	.	.	PUNCT
easat-9249	263	1	lauville	lauville	NOUN
easat-9249	263	2	in	in	ADP
easat-9249	263	3	mpumalanga	mpumalanga	PROPN
easat-9249	263	4	province	province	NOUN
easat-9249	263	5	,	,	PUNCT
easat-9249	263	6	musina	musina	NOUN
easat-9249	263	7	in	in	ADP
easat-9249	263	8	limpopo	limpopo	PROPN
easat-9249	263	9	province	province	NOUN
easat-9249	263	10	,	,	PUNCT
easat-9249	263	11	and	and	CCONJ
easat-9249	263	12	upington	upington	NOUN
easat-9249	263	13	in	in	ADP
easat-9249	263	14	northern	northern	ADJ
easat-9249	263	15	cape	cape	NOUN
easat-9249	263	16	province	province	NOUN
easat-9249	263	17	were	be	AUX
easat-9249	263	18	selected	select	VERB
easat-9249	263	19	for	for	ADP
easat-9249	263	20	the	the	DET
easat-9249	263	21	hot	hot	ADJ
easat-9249	263	22	arid	arid	NOUN
easat-9249	263	23	desert	desert	NOUN
easat-9249	263	24	classification	classification	NOUN
easat-9249	263	25	.	.	PUNCT
easat-9249	264	1	these	these	DET
easat-9249	264	2	regions	region	NOUN
easat-9249	264	3	are	be	AUX
easat-9249	264	4	in	in	ADP
easat-9249	264	5	the	the	DET
easat-9249	264	6	northern	northern	ADJ
easat-9249	264	7	and	and	CCONJ
easat-9249	264	8	northwestern	northwestern	ADJ
easat-9249	264	9	parts	part	NOUN
easat-9249	264	10	of	of	ADP
easat-9249	264	11	south	south	PROPN
easat-9249	264	12	africa	africa	PROPN
easat-9249	264	13	.	.	PUNCT
easat-9249	265	1	table	table	NOUN
easat-9249	265	2	5	5	NUM
easat-9249	265	3	shows	show	VERB
easat-9249	265	4	the	the	DET
easat-9249	265	5	evaluation	evaluation	NOUN
easat-9249	265	6	metrics	metric	NOUN
easat-9249	265	7	for	for	ADP
easat-9249	265	8	the	the	DET
easat-9249	265	9	models	model	NOUN
easat-9249	265	10	used	use	VERB
easat-9249	265	11	for	for	ADP
easat-9249	265	12	the	the	DET
easat-9249	265	13	study	study	NOUN
easat-9249	265	14	for	for	ADP
easat-9249	265	15	the	the	DET
easat-9249	265	16	three	three	NUM
easat-9249	265	17	locations	location	NOUN
easat-9249	265	18	.	.	PUNCT
easat-9249	266	1	in	in	ADP
easat-9249	266	2	lauville	lauville	NOUN
easat-9249	266	3	,	,	PUNCT
easat-9249	266	4	the	the	DET
easat-9249	266	5	support	support	NOUN
easat-9249	266	6	vector	vector	NOUN
easat-9249	266	7	machine	machine	NOUN
easat-9249	266	8	had	have	VERB
easat-9249	266	9	the	the	DET
easat-9249	266	10	highest	high	ADJ
easat-9249	266	11	correlation	correlation	NOUN
easat-9249	266	12	coefficient	coefficient	NOUN
easat-9249	266	13	of	of	ADP
easat-9249	266	14	0.60	0.60	NUM
easat-9249	266	15	,	,	PUNCT
easat-9249	266	16	while	while	SCONJ
easat-9249	266	17	linear	linear	ADJ
easat-9249	266	18	regression	regression	NOUN
easat-9249	266	19	had	have	VERB
easat-9249	266	20	the	the	DET
easat-9249	266	21	highest	high	ADJ
easat-9249	266	22	coefficient	coefficient	NOUN
easat-9249	266	23	of	of	ADP
easat-9249	266	24	determination	determination	NOUN
easat-9249	266	25	of	of	ADP
easat-9249	266	26	0.76	0.76	NUM
easat-9249	266	27	.	.	PUNCT
easat-9249	267	1	musina	musina	PROPN
easat-9249	267	2	had	have	VERB
easat-9249	267	3	a	a	DET
easat-9249	267	4	relatively	relatively	ADV
easat-9249	267	5	high	high	ADJ
easat-9249	267	6	correlation	correlation	NOUN
easat-9249	267	7	coefficient	coefficient	NOUN
easat-9249	267	8	for	for	ADP
easat-9249	267	9	all	all	DET
easat-9249	267	10	models	model	NOUN
easat-9249	267	11	,	,	PUNCT
easat-9249	267	12	0	0	NUM
easat-9249	267	13	2	2	NUM
easat-9249	267	14	4	4	NUM
easat-9249	267	15	6	6	NUM
easat-9249	267	16	2015	2015	NUM
easat-9249	267	17	2016	2016	NUM
easat-9249	267	18	2017	2017	NUM
easat-9249	267	19	2018	2018	NUM
easat-9249	267	20	2019	2019	NUM
easat-9249	267	21	2020	2020	NUM
easat-9249	267	22	2021	2021	NUM
easat-9249	267	23	2022	2022	NUM
easat-9249	267	24	2023	2023	NUM
easat-9249	267	25	port	port	NOUN
easat-9249	267	26	elizabeth	elizabeth	PROPN
easat-9249	267	27	rf	rf	PROPN
easat-9249	267	28	actual	actual	ADJ
easat-9249	267	29	predicted	predict	VERB
easat-9249	267	30	0	0	NUM
easat-9249	267	31	2	2	NUM
easat-9249	267	32	4	4	NUM
easat-9249	267	33	6	6	NUM
easat-9249	267	34	2015	2015	NUM
easat-9249	267	35	2016	2016	NUM
easat-9249	267	36	2017	2017	NUM
easat-9249	267	37	2018	2018	NUM
easat-9249	267	38	2019	2019	NUM
easat-9249	267	39	2020	2020	NUM
easat-9249	267	40	2021	2021	NUM
easat-9249	267	41	2022	2022	NUM
easat-9249	267	42	2023	2023	NUM
easat-9249	267	43	port	port	NOUN
easat-9249	267	44	elizabeth	elizabeth	PROPN
easat-9249	267	45	svm	svm	PROPN
easat-9249	267	46	actual	actual	ADV
easat-9249	267	47	predicted	predict	VERB
easat-9249	267	48	0	0	NUM
easat-9249	267	49	1	1	NUM
easat-9249	267	50	2	2	NUM
easat-9249	267	51	3	3	NUM
easat-9249	267	52	4	4	NUM
easat-9249	267	53	5	5	NUM
easat-9249	267	54	6	6	NUM
easat-9249	267	55	2015	2015	NUM
easat-9249	267	56	2016	2016	NUM
easat-9249	267	57	2017	2017	NUM
easat-9249	267	58	2018	2018	NUM
easat-9249	267	59	2019	2019	NUM
easat-9249	267	60	2020	2020	NUM
easat-9249	267	61	2021	2021	NUM
easat-9249	267	62	2022	2022	NUM
easat-9249	267	63	2023	2023	NUM
easat-9249	267	64	port	port	NOUN
easat-9249	267	65	elizabeth	elizabeth	PROPN
easat-9249	267	66	r&l	r&l	PROPN
easat-9249	267	67	actual	actual	ADV
easat-9249	267	68	predicted	predict	VERB
easat-9249	267	69	171	171	NUM
easat-9249	267	70	edelweiss	edelweiss	PROPN
easat-9249	267	71	applied	apply	VERB
easat-9249	267	72	science	science	NOUN
easat-9249	267	73	and	and	CCONJ
easat-9249	267	74	technology	technology	NOUN
easat-9249	267	75	issn	issn	PROPN
easat-9249	267	76	:	:	PUNCT
easat-9249	267	77	2576	2576	NUM
easat-9249	267	78	-	-	SYM
easat-9249	267	79	8484	8484	NUM
easat-9249	267	80	vol	vol	NOUN
easat-9249	267	81	.	.	PROPN
easat-9249	268	1	9	9	NUM
easat-9249	268	2	,	,	PUNCT
easat-9249	268	3	no	no	INTJ
easat-9249	268	4	.	.	NOUN
easat-9249	268	5	8	8	NUM
easat-9249	268	6	:	:	SYM
easat-9249	268	7	148	148	NUM
easat-9249	268	8	-	-	SYM
easat-9249	268	9	178	178	NUM
easat-9249	268	10	,	,	PUNCT
easat-9249	268	11	2025	2025	NUM
easat-9249	268	12	doi	doi	NOUN
easat-9249	268	13	:	:	PUNCT
easat-9249	268	14	10.55214/2576	10.55214/2576	NUM
easat-9249	268	15	-	-	SYM
easat-9249	268	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	268	17	©	©	ADP
easat-9249	268	18	2025	2025	NUM
easat-9249	268	19	by	by	ADP
easat-9249	268	20	the	the	DET
easat-9249	268	21	authors	author	NOUN
easat-9249	268	22	;	;	PUNCT
easat-9249	268	23	licensee	licensee	PROPN
easat-9249	268	24	learning	learning	NOUN
easat-9249	268	25	gate	gate	NOUN
easat-9249	268	26	ranging	range	VERB
easat-9249	268	27	from	from	ADP
easat-9249	268	28	0.68	0.68	NUM
easat-9249	268	29	for	for	ADP
easat-9249	268	30	ridge	ridge	NOUN
easat-9249	268	31	and	and	CCONJ
easat-9249	268	32	lasso	lasso	NOUN
easat-9249	268	33	to	to	ADP
easat-9249	268	34	0.79	0.79	NUM
easat-9249	268	35	for	for	ADP
easat-9249	268	36	support	support	NOUN
easat-9249	268	37	vector	vector	NOUN
easat-9249	268	38	machine	machine	NOUN
easat-9249	268	39	.	.	PUNCT
easat-9249	269	1	values	value	NOUN
easat-9249	269	2	for	for	ADP
easat-9249	269	3	linear	linear	ADJ
easat-9249	269	4	regression	regression	NOUN
easat-9249	269	5	and	and	CCONJ
easat-9249	269	6	random	random	ADJ
easat-9249	269	7	forest	forest	NOUN
easat-9249	269	8	are	be	AUX
easat-9249	269	9	0.69	0.69	NUM
easat-9249	269	10	and	and	CCONJ
easat-9249	269	11	0.74	0.74	NUM
easat-9249	269	12	,	,	PUNCT
easat-9249	269	13	respectively	respectively	ADV
easat-9249	269	14	.	.	PUNCT
easat-9249	270	1	linear	linear	PROPN
easat-9249	270	2	regression	regression	PROPN
easat-9249	270	3	had	have	VERB
easat-9249	270	4	the	the	DET
easat-9249	270	5	highest	high	ADJ
easat-9249	270	6	coefficient	coefficient	NOUN
easat-9249	270	7	of	of	ADP
easat-9249	270	8	determination	determination	NOUN
easat-9249	270	9	of	of	ADP
easat-9249	270	10	0.75	0.75	NUM
easat-9249	270	11	in	in	ADP
easat-9249	270	12	musina	musina	NOUN
easat-9249	270	13	,	,	PUNCT
easat-9249	270	14	while	while	SCONJ
easat-9249	270	15	that	that	PRON
easat-9249	270	16	of	of	ADP
easat-9249	270	17	random	random	ADJ
easat-9249	270	18	forest	forest	NOUN
easat-9249	270	19	,	,	PUNCT
easat-9249	270	20	support	support	NOUN
easat-9249	270	21	vector	vector	NOUN
easat-9249	270	22	machine	machine	NOUN
easat-9249	270	23	,	,	PUNCT
easat-9249	270	24	ridge	ridge	PROPN
easat-9249	270	25	,	,	PUNCT
easat-9249	270	26	and	and	CCONJ
easat-9249	270	27	lasso	lasso	NOUN
easat-9249	270	28	are	be	AUX
easat-9249	270	29	0.52	0.52	NUM
easat-9249	270	30	,	,	PUNCT
easat-9249	270	31	0.59	0.59	NUM
easat-9249	270	32	,	,	PUNCT
easat-9249	270	33	and	and	CCONJ
easat-9249	270	34	0.39	0.39	NUM
easat-9249	270	35	,	,	PUNCT
easat-9249	270	36	respectively	respectively	ADV
easat-9249	270	37	.	.	PUNCT
easat-9249	271	1	this	this	DET
easat-9249	271	2	result	result	NOUN
easat-9249	271	3	presents	present	VERB
easat-9249	271	4	hope	hope	NOUN
easat-9249	271	5	for	for	ADP
easat-9249	271	6	farmers	farmer	NOUN
easat-9249	271	7	in	in	ADP
easat-9249	271	8	musina	musina	NOUN
easat-9249	271	9	as	as	SCONJ
easat-9249	271	10	many	many	ADJ
easat-9249	271	11	complain	complain	NOUN
easat-9249	271	12	of	of	ADP
easat-9249	271	13	decreased	decrease	VERB
easat-9249	271	14	agricultural	agricultural	ADJ
easat-9249	271	15	production	production	NOUN
easat-9249	271	16	within	within	ADP
easat-9249	271	17	the	the	DET
easat-9249	271	18	last	last	ADJ
easat-9249	271	19	five	five	NUM
easat-9249	271	20	years	year	NOUN
easat-9249	271	21	due	due	ADP
easat-9249	271	22	to	to	ADP
easat-9249	271	23	insufficient	insufficient	ADJ
easat-9249	271	24	rainfall	rainfall	NOUN
easat-9249	271	25	and	and	CCONJ
easat-9249	271	26	water	water	NOUN
easat-9249	271	27	scarcity	scarcity	NOUN
easat-9249	271	28	[	[	X
easat-9249	271	29	24	24	NUM
easat-9249	271	30	]	]	PUNCT
easat-9249	271	31	.	.	PUNCT
easat-9249	272	1	with	with	ADP
easat-9249	272	2	accurate	accurate	ADJ
easat-9249	272	3	prediction	prediction	NOUN
easat-9249	272	4	,	,	PUNCT
easat-9249	272	5	farmers	farmer	NOUN
easat-9249	272	6	can	can	AUX
easat-9249	272	7	be	be	AUX
easat-9249	272	8	better	well	ADV
easat-9249	272	9	prepared	prepare	VERB
easat-9249	272	10	for	for	ADP
easat-9249	272	11	drought	drought	NOUN
easat-9249	272	12	.	.	PUNCT
easat-9249	273	1	in	in	ADP
easat-9249	273	2	upington	upington	PROPN
easat-9249	273	3	,	,	PUNCT
easat-9249	273	4	the	the	DET
easat-9249	273	5	correlation	correlation	NOUN
easat-9249	273	6	coefficients	coefficient	NOUN
easat-9249	273	7	are	be	AUX
easat-9249	273	8	0.64	0.64	NUM
easat-9249	273	9	,	,	PUNCT
easat-9249	273	10	0.66	0.66	NUM
easat-9249	273	11	,	,	PUNCT
easat-9249	273	12	0.69	0.69	NUM
easat-9249	273	13	,	,	PUNCT
easat-9249	273	14	0.63	0.63	NUM
easat-9249	273	15	,	,	PUNCT
easat-9249	273	16	and	and	CCONJ
easat-9249	273	17	coefficient	coefficient	NOUN
easat-9249	273	18	of	of	ADP
easat-9249	273	19	determination	determination	NOUN
easat-9249	273	20	of	of	ADP
easat-9249	273	21	0.71	0.71	NUM
easat-9249	273	22	,	,	PUNCT
easat-9249	273	23	0.43	0.43	NUM
easat-9249	273	24	,	,	PUNCT
easat-9249	273	25	0.40	0.40	NUM
easat-9249	273	26	,	,	PUNCT
easat-9249	273	27	and	and	CCONJ
easat-9249	273	28	0.5	0.5	NUM
easat-9249	273	29	for	for	ADP
easat-9249	273	30	linear	linear	ADJ
easat-9249	273	31	regression	regression	NOUN
easat-9249	273	32	,	,	PUNCT
easat-9249	273	33	random	random	ADJ
easat-9249	273	34	forest	forest	NOUN
easat-9249	273	35	,	,	PUNCT
easat-9249	273	36	support	support	NOUN
easat-9249	273	37	vector	vector	NOUN
easat-9249	273	38	machine	machine	NOUN
easat-9249	273	39	,	,	PUNCT
easat-9249	273	40	and	and	CCONJ
easat-9249	273	41	ridge	ridge	NOUN
easat-9249	273	42	and	and	CCONJ
easat-9249	273	43	lasso	lasso	NOUN
easat-9249	273	44	,	,	PUNCT
easat-9249	273	45	respectively	respectively	ADV
easat-9249	273	46	.	.	PUNCT
easat-9249	274	1	there	there	PRON
easat-9249	274	2	is	be	VERB
easat-9249	274	3	a	a	DET
easat-9249	274	4	need	need	NOUN
easat-9249	274	5	to	to	PART
easat-9249	274	6	study	study	VERB
easat-9249	274	7	upington	upington	NOUN
easat-9249	274	8	more	more	ADV
easat-9249	274	9	closely	closely	ADV
easat-9249	274	10	due	due	ADJ
easat-9249	274	11	to	to	ADP
easat-9249	274	12	its	its	PRON
easat-9249	274	13	changing	change	VERB
easat-9249	274	14	environmental	environmental	ADJ
easat-9249	274	15	and	and	CCONJ
easat-9249	274	16	atmospheric	atmospheric	ADJ
easat-9249	274	17	conditions	condition	NOUN
easat-9249	274	18	at	at	ADP
easat-9249	274	19	a	a	DET
easat-9249	274	20	rate	rate	NOUN
easat-9249	274	21	different	different	ADJ
easat-9249	274	22	from	from	ADP
easat-9249	274	23	global	global	ADJ
easat-9249	274	24	and	and	CCONJ
easat-9249	274	25	continental	continental	ADJ
easat-9249	274	26	estimates	estimate	NOUN
easat-9249	274	27	[	[	X
easat-9249	274	28	25	25	NUM
easat-9249	274	29	]	]	PUNCT
easat-9249	274	30	.	.	PUNCT
easat-9249	275	1	this	this	DET
easat-9249	275	2	region	region	NOUN
easat-9249	275	3	's	's	PART
easat-9249	275	4	significant	significant	ADJ
easat-9249	275	5	decrease	decrease	NOUN
easat-9249	275	6	in	in	ADP
easat-9249	275	7	rainfall	rainfall	NOUN
easat-9249	275	8	poses	pose	VERB
easat-9249	275	9	a	a	DET
easat-9249	275	10	major	major	ADJ
easat-9249	275	11	challenge	challenge	NOUN
easat-9249	275	12	for	for	ADP
easat-9249	275	13	livestock	livestock	NOUN
easat-9249	275	14	farming	farming	NOUN
easat-9249	275	15	[	[	X
easat-9249	275	16	26	26	NUM
easat-9249	275	17	]	]	PUNCT
easat-9249	275	18	.	.	PUNCT
easat-9249	276	1	the	the	DET
easat-9249	276	2	mean	mean	ADJ
easat-9249	276	3	absolute	absolute	ADJ
easat-9249	276	4	error	error	NOUN
easat-9249	276	5	,	,	PUNCT
easat-9249	276	6	mean	mean	ADJ
easat-9249	276	7	square	square	NOUN
easat-9249	276	8	error	error	NOUN
easat-9249	276	9	,	,	PUNCT
easat-9249	276	10	and	and	CCONJ
easat-9249	276	11	root	root	NOUN
easat-9249	276	12	mean	mean	VERB
easat-9249	276	13	square	square	ADJ
easat-9249	276	14	errors	error	NOUN
easat-9249	276	15	for	for	ADP
easat-9249	276	16	all	all	DET
easat-9249	276	17	models	model	NOUN
easat-9249	276	18	in	in	ADP
easat-9249	276	19	lauville	lauville	NOUN
easat-9249	276	20	and	and	CCONJ
easat-9249	276	21	upington	upington	NOUN
easat-9249	276	22	were	be	AUX
easat-9249	276	23	in	in	ADP
easat-9249	276	24	a	a	DET
easat-9249	276	25	similar	similar	ADJ
easat-9249	276	26	range	range	NOUN
easat-9249	276	27	.	.	PUNCT
easat-9249	277	1	the	the	DET
easat-9249	277	2	values	value	NOUN
easat-9249	277	3	were	be	AUX
easat-9249	277	4	also	also	ADV
easat-9249	277	5	similar	similar	ADJ
easat-9249	277	6	for	for	ADP
easat-9249	277	7	all	all	DET
easat-9249	277	8	models	model	NOUN
easat-9249	277	9	in	in	ADP
easat-9249	277	10	musina	musina	NOUN
easat-9249	277	11	except	except	SCONJ
easat-9249	277	12	for	for	ADP
easat-9249	277	13	linear	linear	PROPN
easat-9249	277	14	regression	regression	NOUN
easat-9249	277	15	,	,	PUNCT
easat-9249	277	16	where	where	SCONJ
easat-9249	277	17	the	the	DET
easat-9249	277	18	value	value	NOUN
easat-9249	277	19	is	be	AUX
easat-9249	277	20	about	about	ADV
easat-9249	277	21	double	double	ADJ
easat-9249	277	22	.	.	PUNCT
easat-9249	278	1	figure	figure	NOUN
easat-9249	278	2	5	5	NUM
easat-9249	278	3	shows	show	VERB
easat-9249	278	4	the	the	DET
easat-9249	278	5	actual	actual	ADJ
easat-9249	278	6	and	and	CCONJ
easat-9249	278	7	predicted	predict	VERB
easat-9249	278	8	rainfall	rainfall	NOUN
easat-9249	278	9	graph	graph	NOUN
easat-9249	278	10	using	use	VERB
easat-9249	278	11	different	different	ADJ
easat-9249	278	12	models	model	NOUN
easat-9249	278	13	for	for	ADP
easat-9249	278	14	the	the	DET
easat-9249	278	15	three	three	NUM
easat-9249	278	16	locations	location	NOUN
easat-9249	278	17	under	under	ADP
easat-9249	278	18	the	the	DET
easat-9249	278	19	hot	hot	ADJ
easat-9249	278	20	arid	arid	NOUN
easat-9249	278	21	climate	climate	NOUN
easat-9249	278	22	classification	classification	NOUN
easat-9249	278	23	.	.	PUNCT
easat-9249	279	1	the	the	DET
easat-9249	279	2	result	result	NOUN
easat-9249	279	3	showed	show	VERB
easat-9249	279	4	that	that	SCONJ
easat-9249	279	5	random	random	ADJ
easat-9249	279	6	forest	forest	NOUN
easat-9249	279	7	performed	perform	VERB
easat-9249	279	8	best	well	ADV
easat-9249	279	9	in	in	ADP
easat-9249	279	10	upington	upington	NOUN
easat-9249	279	11	as	as	SCONJ
easat-9249	279	12	it	it	PRON
easat-9249	279	13	predicted	predict	VERB
easat-9249	279	14	the	the	DET
easat-9249	279	15	increased	increase	VERB
easat-9249	279	16	rainfall	rainfall	NOUN
easat-9249	279	17	in	in	ADP
easat-9249	279	18	2022	2022	NUM
easat-9249	279	19	and	and	CCONJ
easat-9249	279	20	its	its	PRON
easat-9249	279	21	seasonal	seasonal	ADJ
easat-9249	279	22	variability	variability	NOUN
easat-9249	279	23	.	.	PUNCT
easat-9249	280	1	it	it	PRON
easat-9249	280	2	,	,	PUNCT
easat-9249	280	3	however	however	ADV
easat-9249	280	4	,	,	PUNCT
easat-9249	280	5	performed	perform	VERB
easat-9249	280	6	poorly	poorly	ADV
easat-9249	280	7	in	in	ADP
easat-9249	280	8	rainfall	rainfall	NOUN
easat-9249	280	9	estimation	estimation	NOUN
easat-9249	280	10	between	between	ADP
easat-9249	280	11	2015	2015	NUM
easat-9249	280	12	and	and	CCONJ
easat-9249	280	13	2018	2018	NUM
easat-9249	280	14	,	,	PUNCT
easat-9249	280	15	after	after	ADP
easat-9249	280	16	which	which	PRON
easat-9249	280	17	the	the	DET
easat-9249	280	18	performance	performance	NOUN
easat-9249	280	19	was	be	AUX
easat-9249	280	20	good	good	ADJ
easat-9249	280	21	.	.	PUNCT
easat-9249	281	1	other	other	ADJ
easat-9249	281	2	models	model	NOUN
easat-9249	281	3	have	have	VERB
easat-9249	281	4	similar	similar	ADJ
easat-9249	281	5	patterns	pattern	NOUN
easat-9249	281	6	in	in	ADP
easat-9249	281	7	upington	upington	PROPN
easat-9249	281	8	.	.	PUNCT
easat-9249	282	1	musina	musina	PROPN
easat-9249	282	2	,	,	PUNCT
easat-9249	282	3	ridge	ridge	PROPN
easat-9249	282	4	,	,	PUNCT
easat-9249	282	5	lasso	lasso	NOUN
easat-9249	282	6	,	,	PUNCT
easat-9249	282	7	and	and	CCONJ
easat-9249	282	8	random	random	ADJ
easat-9249	282	9	forest	forest	NOUN
easat-9249	282	10	also	also	ADV
easat-9249	282	11	performed	perform	VERB
easat-9249	282	12	best	well	ADV
easat-9249	282	13	compared	compare	VERB
easat-9249	282	14	to	to	ADP
easat-9249	282	15	linear	linear	ADJ
easat-9249	282	16	regression	regression	NOUN
easat-9249	282	17	as	as	SCONJ
easat-9249	282	18	they	they	PRON
easat-9249	282	19	accurately	accurately	ADV
easat-9249	282	20	predicted	predict	VERB
easat-9249	282	21	the	the	DET
easat-9249	282	22	seasonal	seasonal	ADJ
easat-9249	282	23	variation	variation	NOUN
easat-9249	282	24	with	with	ADP
easat-9249	282	25	underestimation	underestimation	NOUN
easat-9249	282	26	of	of	ADP
easat-9249	282	27	rainfall	rainfall	NOUN
easat-9249	282	28	in	in	ADP
easat-9249	282	29	2018	2018	NUM
easat-9249	282	30	,	,	PUNCT
easat-9249	282	31	2021	2021	NUM
easat-9249	282	32	,	,	PUNCT
easat-9249	282	33	and	and	CCONJ
easat-9249	282	34	2022	2022	NUM
easat-9249	282	35	.	.	PUNCT
easat-9249	283	1	all	all	DET
easat-9249	283	2	models	model	NOUN
easat-9249	283	3	performed	perform	VERB
easat-9249	283	4	well	well	ADV
easat-9249	283	5	in	in	ADP
easat-9249	283	6	lauville	lauville	NOUN
easat-9249	283	7	.	.	PUNCT
easat-9249	284	1	table	table	NOUN
easat-9249	284	2	5	5	NUM
easat-9249	284	3	.	.	PUNCT
easat-9249	284	4	shows	show	VERB
easat-9249	284	5	model	model	NOUN
easat-9249	284	6	evaluation	evaluation	NOUN
easat-9249	284	7	metrics	metric	NOUN
easat-9249	284	8	for	for	ADP
easat-9249	284	9	hot	hot	ADJ
easat-9249	284	10	,	,	PUNCT
easat-9249	284	11	arid	arid	NOUN
easat-9249	284	12	desert	desert	NOUN
easat-9249	284	13	climate	climate	NOUN
easat-9249	284	14	classification	classification	NOUN
easat-9249	284	15	.	.	PUNCT
easat-9249	285	1	linear	linear	ADJ
easat-9249	285	2	regression	regression	NOUN
easat-9249	285	3	lauville	lauville	VERB
easat-9249	285	4	1.07	1.07	NUM
easat-9249	285	5	2.04	2.04	NUM
easat-9249	285	6	1.43	1.43	NUM
easat-9249	285	7	0.53	0.53	NUM
easat-9249	285	8	0.76	0.76	NUM
easat-9249	285	9	musina	musina	NOUN
easat-9249	285	10	1.44	1.44	NUM
easat-9249	285	11	3.04	3.04	NUM
easat-9249	285	12	1.74	1.74	NUM
easat-9249	285	13	0.69	0.69	NUM
easat-9249	285	14	0.75	0.75	NUM
easat-9249	285	15	upington	upington	NOUN
easat-9249	285	16	0.93	0.93	NUM
easat-9249	285	17	1.36	1.36	NUM
easat-9249	285	18	1.17	1.17	NUM
easat-9249	285	19	0.64	0.64	NUM
easat-9249	285	20	0.71	0.71	NUM
easat-9249	285	21	random	random	ADJ
easat-9249	285	22	forest	forest	NOUN
easat-9249	285	23	lauville	lauville	NOUN
easat-9249	285	24	1.17	1.17	NUM
easat-9249	285	25	2.41	2.41	NUM
easat-9249	285	26	1.55	1.55	NUM
easat-9249	285	27	0.51	0.51	NUM
easat-9249	285	28	0.12	0.12	NUM
easat-9249	285	29	musina	musina	NOUN
easat-9249	285	30	0.76	0.76	NUM
easat-9249	285	31	1.01	1.01	NUM
easat-9249	285	32	1.01	1.01	NUM
easat-9249	285	33	0.74	0.74	NUM
easat-9249	285	34	0.52	0.52	NUM
easat-9249	285	35	upington	upington	NOUN
easat-9249	285	36	0.57	0.57	NUM
easat-9249	285	37	0.59	0.59	NUM
easat-9249	285	38	0.77	0.77	NUM
easat-9249	285	39	0.66	0.66	NUM
easat-9249	285	40	0.43	0.43	NUM
easat-9249	285	41	support	support	NOUN
easat-9249	285	42	vector	vector	NOUN
easat-9249	285	43	machine	machine	NOUN
easat-9249	285	44	lauville	lauville	VERB
easat-9249	285	45	1.13	1.13	NUM
easat-9249	285	46	2.02	2.02	NUM
easat-9249	285	47	1.42	1.42	NUM
easat-9249	285	48	0.60	0.60	NUM
easat-9249	285	49	0.26	0.26	NUM
easat-9249	285	50	musina	musina	NOUN
easat-9249	285	51	0.66	0.66	NUM
easat-9249	285	52	0.86	0.86	NUM
easat-9249	285	53	0.93	0.93	NUM
easat-9249	285	54	0.79	0.79	NUM
easat-9249	285	55	0.59	0.59	NUM
easat-9249	285	56	upington	upington	NOUN
easat-9249	285	57	0.56	0.56	NUM
easat-9249	285	58	0.63	0.63	NUM
easat-9249	285	59	0.79	0.79	NUM
easat-9249	285	60	0.69	0.69	NUM
easat-9249	285	61	0.40	0.40	NUM
easat-9249	285	62	ridge	ridge	NOUN
easat-9249	285	63	and	and	CCONJ
easat-9249	285	64	lasso	lasso	NOUN
easat-9249	285	65	lauville	lauville	VERB
easat-9249	285	66	1.09	1.09	NUM
easat-9249	285	67	1.94	1.94	NUM
easat-9249	285	68	1.39	1.39	NUM
easat-9249	285	69	0.57	0.57	NUM
easat-9249	285	70	0.51	0.51	NUM
easat-9249	285	71	musina	musina	NOUN
easat-9249	285	72	0.80	0.80	NUM
easat-9249	285	73	1.09	1.09	NUM
easat-9249	285	74	1.04	1.04	NUM
easat-9249	285	75	0.68	0.68	NUM
easat-9249	285	76	0.39	0.39	NUM
easat-9249	285	77	upington	upington	NOUN
easat-9249	285	78	0.58	0.58	NUM
easat-9249	285	79	0.63	0.63	NUM
easat-9249	285	80	0.79	0.79	NUM
easat-9249	285	81	0.63	0.63	NUM
easat-9249	285	82	0.51	0.51	NUM
easat-9249	285	83	172	172	NUM
easat-9249	285	84	edelweiss	edelweiss	PROPN
easat-9249	285	85	applied	apply	VERB
easat-9249	285	86	science	science	NOUN
easat-9249	285	87	and	and	CCONJ
easat-9249	285	88	technology	technology	NOUN
easat-9249	285	89	issn	issn	PROPN
easat-9249	285	90	:	:	PUNCT
easat-9249	285	91	2576	2576	NUM
easat-9249	285	92	-	-	SYM
easat-9249	285	93	8484	8484	NUM
easat-9249	285	94	vol	vol	NOUN
easat-9249	285	95	.	.	PROPN
easat-9249	286	1	9	9	NUM
easat-9249	286	2	,	,	PUNCT
easat-9249	286	3	no	no	INTJ
easat-9249	286	4	.	.	NOUN
easat-9249	286	5	8	8	NUM
easat-9249	286	6	:	:	SYM
easat-9249	286	7	148	148	NUM
easat-9249	286	8	-	-	SYM
easat-9249	286	9	178	178	NUM
easat-9249	286	10	,	,	PUNCT
easat-9249	286	11	2025	2025	NUM
easat-9249	286	12	doi	doi	NOUN
easat-9249	286	13	:	:	PUNCT
easat-9249	286	14	10.55214/2576	10.55214/2576	NUM
easat-9249	286	15	-	-	SYM
easat-9249	286	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	286	17	©	©	ADP
easat-9249	286	18	2025	2025	NUM
easat-9249	286	19	by	by	ADP
easat-9249	286	20	the	the	DET
easat-9249	286	21	authors	author	NOUN
easat-9249	286	22	;	;	PUNCT
easat-9249	286	23	licensee	licensee	PROPN
easat-9249	286	24	learning	learn	VERB
easat-9249	286	25	gate	gate	NOUN
easat-9249	287	1	-2	-2	NOUN
easat-9249	287	2	0	0	NUM
easat-9249	287	3	2	2	NUM
easat-9249	287	4	4	4	NUM
easat-9249	287	5	6	6	NUM
easat-9249	287	6	8	8	NUM
easat-9249	287	7	10	10	NUM
easat-9249	287	8	2015	2015	NUM
easat-9249	287	9	2016	2016	NUM
easat-9249	287	10	2017	2017	NUM
easat-9249	287	11	2018	2018	NUM
easat-9249	287	12	2019	2019	NUM
easat-9249	287	13	2020	2020	NUM
easat-9249	287	14	2021	2021	NUM
easat-9249	287	15	2022	2022	NUM
easat-9249	287	16	2023	2023	NUM
easat-9249	287	17	lauville	lauville	NOUN
easat-9249	287	18	lr	lr	PRON
easat-9249	287	19	actual	actual	ADJ
easat-9249	287	20	predicted	predict	VERB
easat-9249	287	21	0	0	NUM
easat-9249	287	22	2	2	NUM
easat-9249	287	23	4	4	NUM
easat-9249	287	24	6	6	NUM
easat-9249	287	25	8	8	NUM
easat-9249	287	26	10	10	NUM
easat-9249	287	27	2015	2015	NUM
easat-9249	287	28	2016	2016	NUM
easat-9249	287	29	2017	2017	NUM
easat-9249	287	30	2018	2018	NUM
easat-9249	287	31	2019	2019	NUM
easat-9249	287	32	2020	2020	NUM
easat-9249	287	33	2021	2021	NUM
easat-9249	287	34	2022	2022	NUM
easat-9249	287	35	2023	2023	NUM
easat-9249	287	36	lauville	lauville	NOUN
easat-9249	287	37	rf	rf	PRON
easat-9249	287	38	actual	actual	ADJ
easat-9249	287	39	predicted	predict	VERB
easat-9249	287	40	-2	-2	INTJ
easat-9249	287	41	0	0	NUM
easat-9249	287	42	2	2	NUM
easat-9249	287	43	4	4	NUM
easat-9249	287	44	6	6	NUM
easat-9249	287	45	8	8	NUM
easat-9249	287	46	10	10	NUM
easat-9249	287	47	2015	2015	NUM
easat-9249	287	48	2016	2016	NUM
easat-9249	287	49	2017	2017	NUM
easat-9249	287	50	2018	2018	NUM
easat-9249	287	51	2019	2019	NUM
easat-9249	287	52	2020	2020	NUM
easat-9249	287	53	2021	2021	NUM
easat-9249	287	54	2022	2022	NUM
easat-9249	287	55	2023	2023	NUM
easat-9249	287	56	lauville	lauville	NOUN
easat-9249	287	57	svm	svm	ADJ
easat-9249	287	58	actual	actual	ADJ
easat-9249	287	59	predicted	predict	VERB
easat-9249	287	60	173	173	NUM
easat-9249	287	61	edelweiss	edelweiss	PROPN
easat-9249	287	62	applied	apply	VERB
easat-9249	287	63	science	science	NOUN
easat-9249	287	64	and	and	CCONJ
easat-9249	287	65	technology	technology	NOUN
easat-9249	287	66	issn	issn	PROPN
easat-9249	287	67	:	:	PUNCT
easat-9249	287	68	2576	2576	NUM
easat-9249	287	69	-	-	SYM
easat-9249	287	70	8484	8484	NUM
easat-9249	287	71	vol	vol	NOUN
easat-9249	287	72	.	.	PROPN
easat-9249	288	1	9	9	NUM
easat-9249	288	2	,	,	PUNCT
easat-9249	288	3	no	no	INTJ
easat-9249	288	4	.	.	NOUN
easat-9249	288	5	8	8	NUM
easat-9249	288	6	:	:	SYM
easat-9249	288	7	148	148	NUM
easat-9249	288	8	-	-	SYM
easat-9249	288	9	178	178	NUM
easat-9249	288	10	,	,	PUNCT
easat-9249	288	11	2025	2025	NUM
easat-9249	288	12	doi	doi	NOUN
easat-9249	288	13	:	:	PUNCT
easat-9249	288	14	10.55214/2576	10.55214/2576	NUM
easat-9249	288	15	-	-	SYM
easat-9249	288	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	288	17	©	©	ADP
easat-9249	288	18	2025	2025	NUM
easat-9249	288	19	by	by	ADP
easat-9249	288	20	the	the	DET
easat-9249	288	21	authors	author	NOUN
easat-9249	288	22	;	;	PUNCT
easat-9249	288	23	licensee	licensee	PROPN
easat-9249	288	24	learning	learn	VERB
easat-9249	288	25	gate	gate	NOUN
easat-9249	289	1	-2	-2	NOUN
easat-9249	289	2	0	0	NUM
easat-9249	289	3	2	2	NUM
easat-9249	289	4	4	4	NUM
easat-9249	289	5	6	6	NUM
easat-9249	289	6	8	8	NUM
easat-9249	289	7	10	10	NUM
easat-9249	289	8	2015	2015	NUM
easat-9249	289	9	2016	2016	NUM
easat-9249	289	10	2017	2017	NUM
easat-9249	289	11	2018	2018	NUM
easat-9249	289	12	2019	2019	NUM
easat-9249	289	13	2020	2020	NUM
easat-9249	289	14	2021	2021	NUM
easat-9249	289	15	2022	2022	NUM
easat-9249	289	16	2023	2023	NUM
easat-9249	289	17	lauville	lauville	NOUN
easat-9249	289	18	r&l	r&l	PROPN
easat-9249	289	19	actual	actual	ADJ
easat-9249	289	20	predicted	predict	VERB
easat-9249	289	21	-2	-2	INTJ
easat-9249	289	22	0	0	NUM
easat-9249	289	23	2	2	NUM
easat-9249	289	24	4	4	NUM
easat-9249	289	25	6	6	NUM
easat-9249	289	26	8	8	NUM
easat-9249	289	27	2015	2015	NUM
easat-9249	289	28	2016	2016	NUM
easat-9249	289	29	2017	2017	NUM
easat-9249	289	30	2018	2018	NUM
easat-9249	289	31	2019	2019	NUM
easat-9249	289	32	2020	2020	NUM
easat-9249	289	33	2021	2021	NUM
easat-9249	289	34	2022	2022	NUM
easat-9249	289	35	2023	2023	NUM
easat-9249	289	36	musina	musina	NOUN
easat-9249	289	37	lr	lr	PROPN
easat-9249	289	38	actual	actual	ADJ
easat-9249	289	39	predicted	predict	VERB
easat-9249	289	40	0	0	NUM
easat-9249	289	41	2	2	NUM
easat-9249	289	42	4	4	NUM
easat-9249	289	43	6	6	NUM
easat-9249	289	44	8	8	NUM
easat-9249	289	45	2015	2015	NUM
easat-9249	289	46	2016	2016	NUM
easat-9249	289	47	2017	2017	NUM
easat-9249	289	48	2018	2018	NUM
easat-9249	289	49	2019	2019	NUM
easat-9249	289	50	2020	2020	NUM
easat-9249	289	51	2021	2021	NUM
easat-9249	289	52	2022	2022	NUM
easat-9249	289	53	2023	2023	NUM
easat-9249	289	54	musina	musina	NOUN
easat-9249	289	55	rf	rf	PRON
easat-9249	289	56	actual	actual	ADJ
easat-9249	289	57	predicted	predict	VERB
easat-9249	289	58	174	174	NUM
easat-9249	289	59	edelweiss	edelweiss	PROPN
easat-9249	289	60	applied	apply	VERB
easat-9249	289	61	science	science	NOUN
easat-9249	289	62	and	and	CCONJ
easat-9249	289	63	technology	technology	NOUN
easat-9249	289	64	issn	issn	PROPN
easat-9249	289	65	:	:	PUNCT
easat-9249	289	66	2576	2576	NUM
easat-9249	289	67	-	-	SYM
easat-9249	289	68	8484	8484	NUM
easat-9249	289	69	vol	vol	NOUN
easat-9249	289	70	.	.	PROPN
easat-9249	290	1	9	9	NUM
easat-9249	290	2	,	,	PUNCT
easat-9249	290	3	no	no	INTJ
easat-9249	290	4	.	.	NOUN
easat-9249	290	5	8	8	NUM
easat-9249	290	6	:	:	SYM
easat-9249	290	7	148	148	NUM
easat-9249	290	8	-	-	SYM
easat-9249	290	9	178	178	NUM
easat-9249	290	10	,	,	PUNCT
easat-9249	290	11	2025	2025	NUM
easat-9249	290	12	doi	doi	NOUN
easat-9249	290	13	:	:	PUNCT
easat-9249	290	14	10.55214/2576	10.55214/2576	NUM
easat-9249	290	15	-	-	SYM
easat-9249	290	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	290	17	©	©	ADP
easat-9249	290	18	2025	2025	NUM
easat-9249	290	19	by	by	ADP
easat-9249	290	20	the	the	DET
easat-9249	290	21	authors	author	NOUN
easat-9249	290	22	;	;	PUNCT
easat-9249	290	23	licensee	licensee	PROPN
easat-9249	290	24	learning	learn	VERB
easat-9249	290	25	gate	gate	NOUN
easat-9249	291	1	-2	-2	NOUN
easat-9249	291	2	0	0	NUM
easat-9249	291	3	2	2	NUM
easat-9249	291	4	4	4	NUM
easat-9249	291	5	6	6	NUM
easat-9249	291	6	8	8	NUM
easat-9249	291	7	2015	2015	NUM
easat-9249	291	8	2016	2016	NUM
easat-9249	291	9	2017	2017	NUM
easat-9249	291	10	2018	2018	NUM
easat-9249	291	11	2019	2019	NUM
easat-9249	291	12	2020	2020	NUM
easat-9249	291	13	2021	2021	NUM
easat-9249	291	14	2022	2022	NUM
easat-9249	291	15	2023	2023	NUM
easat-9249	291	16	musina	musina	NOUN
easat-9249	291	17	svm	svm	PROPN
easat-9249	291	18	actual	actual	NOUN
easat-9249	291	19	predicted	predict	VERB
easat-9249	291	20	-2	-2	INTJ
easat-9249	291	21	0	0	NUM
easat-9249	291	22	2	2	NUM
easat-9249	291	23	4	4	NUM
easat-9249	291	24	6	6	NUM
easat-9249	291	25	8	8	NUM
easat-9249	291	26	2015	2015	NUM
easat-9249	291	27	2016	2016	NUM
easat-9249	291	28	2017	2017	NUM
easat-9249	291	29	2018	2018	NUM
easat-9249	291	30	2019	2019	NUM
easat-9249	291	31	2020	2020	NUM
easat-9249	291	32	2021	2021	NUM
easat-9249	291	33	2022	2022	NUM
easat-9249	291	34	2023	2023	NUM
easat-9249	291	35	musina	musina	NOUN
easat-9249	291	36	r&l	r&l	PROPN
easat-9249	291	37	actual	actual	ADJ
easat-9249	291	38	predicted	predict	VERB
easat-9249	291	39	-2	-2	INTJ
easat-9249	291	40	0	0	NUM
easat-9249	291	41	2	2	NUM
easat-9249	291	42	4	4	NUM
easat-9249	291	43	6	6	NUM
easat-9249	291	44	2015	2015	NUM
easat-9249	291	45	2016	2016	NUM
easat-9249	291	46	2017	2017	NUM
easat-9249	291	47	2018	2018	NUM
easat-9249	291	48	2019	2019	NUM
easat-9249	291	49	2020	2020	NUM
easat-9249	291	50	2021	2021	NUM
easat-9249	291	51	2022	2022	NUM
easat-9249	291	52	2023	2023	NUM
easat-9249	291	53	upington	upington	NOUN
easat-9249	291	54	lr	lr	X
easat-9249	291	55	actual	actual	ADJ
easat-9249	291	56	predicted	predict	VERB
easat-9249	291	57	175	175	NUM
easat-9249	291	58	edelweiss	edelweiss	PROPN
easat-9249	291	59	applied	apply	VERB
easat-9249	291	60	science	science	NOUN
easat-9249	291	61	and	and	CCONJ
easat-9249	291	62	technology	technology	NOUN
easat-9249	291	63	issn	issn	PROPN
easat-9249	291	64	:	:	PUNCT
easat-9249	291	65	2576	2576	NUM
easat-9249	291	66	-	-	SYM
easat-9249	291	67	8484	8484	NUM
easat-9249	291	68	vol	vol	NOUN
easat-9249	291	69	.	.	PROPN
easat-9249	292	1	9	9	NUM
easat-9249	292	2	,	,	PUNCT
easat-9249	292	3	no	no	INTJ
easat-9249	292	4	.	.	NOUN
easat-9249	292	5	8	8	NUM
easat-9249	292	6	:	:	SYM
easat-9249	292	7	148	148	NUM
easat-9249	292	8	-	-	SYM
easat-9249	292	9	178	178	NUM
easat-9249	292	10	,	,	PUNCT
easat-9249	292	11	2025	2025	NUM
easat-9249	292	12	doi	doi	NOUN
easat-9249	292	13	:	:	PUNCT
easat-9249	292	14	10.55214/2576	10.55214/2576	NUM
easat-9249	292	15	-	-	SYM
easat-9249	292	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	292	17	©	©	ADP
easat-9249	292	18	2025	2025	NUM
easat-9249	292	19	by	by	ADP
easat-9249	292	20	the	the	DET
easat-9249	292	21	authors	author	NOUN
easat-9249	292	22	;	;	PUNCT
easat-9249	293	1	licensee	licensee	PROPN
easat-9249	293	2	learning	learn	VERB
easat-9249	293	3	gate	gate	PROPN
easat-9249	293	4	figure	figure	NOUN
easat-9249	293	5	5	5	NUM
easat-9249	293	6	.	.	PUNCT
easat-9249	293	7	shows	show	VERB
easat-9249	293	8	the	the	DET
easat-9249	293	9	predicted	predict	VERB
easat-9249	293	10	and	and	CCONJ
easat-9249	293	11	actual	actual	ADJ
easat-9249	293	12	rainfall	rainfall	NOUN
easat-9249	293	13	for	for	ADP
easat-9249	293	14	models	model	NOUN
easat-9249	293	15	used	use	VERB
easat-9249	293	16	and	and	CCONJ
easat-9249	293	17	locations	location	NOUN
easat-9249	293	18	under	under	ADP
easat-9249	293	19	the	the	DET
easat-9249	293	20	hot	hot	ADJ
easat-9249	293	21	,	,	PUNCT
easat-9249	293	22	arid	arid	NOUN
easat-9249	293	23	desert	desert	NOUN
easat-9249	293	24	climate	climate	NOUN
easat-9249	293	25	classification	classification	NOUN
easat-9249	293	26	.	.	PUNCT
easat-9249	294	1	4	4	X
easat-9249	294	2	.	.	X
easat-9249	294	3	conclusion	conclusion	NOUN
easat-9249	294	4	this	this	DET
easat-9249	294	5	research	research	NOUN
easat-9249	294	6	work	work	NOUN
easat-9249	294	7	forms	form	VERB
easat-9249	294	8	a	a	DET
easat-9249	294	9	foundation	foundation	NOUN
easat-9249	294	10	for	for	ADP
easat-9249	294	11	future	future	ADJ
easat-9249	294	12	weather	weather	NOUN
easat-9249	294	13	prediction	prediction	NOUN
easat-9249	294	14	in	in	ADP
easat-9249	294	15	south	south	PROPN
easat-9249	294	16	africa	africa	PROPN
easat-9249	294	17	using	use	VERB
easat-9249	294	18	machine	machine	NOUN
easat-9249	294	19	learning	learning	NOUN
easat-9249	294	20	models	model	NOUN
easat-9249	294	21	as	as	SCONJ
easat-9249	294	22	it	it	PRON
easat-9249	294	23	investigates	investigate	VERB
easat-9249	294	24	the	the	DET
easat-9249	294	25	performance	performance	NOUN
easat-9249	294	26	of	of	ADP
easat-9249	294	27	four	four	NUM
easat-9249	294	28	machine	machine	NOUN
easat-9249	294	29	learning	learning	NOUN
easat-9249	294	30	models	model	NOUN
easat-9249	294	31	over	over	ADP
easat-9249	294	32	different	different	ADJ
easat-9249	294	33	climatic	climatic	ADJ
easat-9249	294	34	zones	zone	NOUN
easat-9249	294	35	in	in	ADP
easat-9249	294	36	south	south	PROPN
easat-9249	294	37	africa	africa	PROPN
easat-9249	294	38	.	.	PUNCT
easat-9249	295	1	the	the	DET
easat-9249	295	2	machine	machine	NOUN
easat-9249	295	3	learning	learning	NOUN
easat-9249	295	4	models	model	NOUN
easat-9249	295	5	used	use	VERB
easat-9249	295	6	for	for	ADP
easat-9249	295	7	this	this	DET
easat-9249	295	8	study	study	NOUN
easat-9249	295	9	are	be	AUX
easat-9249	295	10	linear	linear	PROPN
easat-9249	295	11	regression	regression	NOUN
easat-9249	295	12	,	,	PUNCT
easat-9249	295	13	random	random	ADJ
easat-9249	295	14	forest	forest	NOUN
easat-9249	295	15	,	,	PUNCT
easat-9249	295	16	support	support	VERB
easat-9249	295	17	vector	vector	NOUN
easat-9249	295	18	machines	machine	NOUN
easat-9249	295	19	,	,	PUNCT
easat-9249	295	20	and	and	CCONJ
easat-9249	295	21	ridge	ridge	NOUN
easat-9249	295	22	and	and	CCONJ
easat-9249	295	23	lasso	lasso	NOUN
easat-9249	295	24	regression	regression	NOUN
easat-9249	295	25	.	.	PUNCT
easat-9249	296	1	based	base	VERB
easat-9249	296	2	on	on	ADP
easat-9249	296	3	the	the	DET
easat-9249	296	4	koppen	koppen	PROPN
easat-9249	296	5	-	-	PUNCT
easat-9249	296	6	geiger	geiger	NOUN
easat-9249	296	7	climate	climate	NOUN
easat-9249	296	8	classification	classification	NOUN
easat-9249	296	9	system	system	NOUN
easat-9249	296	10	,	,	PUNCT
easat-9249	296	11	the	the	DET
easat-9249	296	12	arid	arid	ADJ
easat-9249	296	13	region	region	NOUN
easat-9249	296	14	of	of	ADP
easat-9249	296	15	south	south	PROPN
easat-9249	296	16	africa	africa	PROPN
easat-9249	296	17	was	be	AUX
easat-9249	296	18	divided	divide	VERB
easat-9249	296	19	into	into	ADP
easat-9249	296	20	four	four	NUM
easat-9249	296	21	climate	climate	NOUN
easat-9249	296	22	classifications	classification	NOUN
easat-9249	296	23	.	.	PUNCT
easat-9249	297	1	three	three	NUM
easat-9249	297	2	locations	location	NOUN
easat-9249	297	3	were	be	AUX
easat-9249	297	4	selected	select	VERB
easat-9249	297	5	for	for	SCONJ
easat-9249	297	6	each	each	DET
easat-9249	297	7	classification	classification	NOUN
easat-9249	297	8	to	to	PART
easat-9249	297	9	test	test	VERB
easat-9249	297	10	four	four	NUM
easat-9249	297	11	machine	machine	NOUN
easat-9249	297	12	learning	learning	NOUN
easat-9249	297	13	models	model	NOUN
easat-9249	297	14	.	.	PUNCT
easat-9249	298	1	this	this	PRON
easat-9249	298	2	aims	aim	VERB
easat-9249	298	3	to	to	ADP
easat-9249	298	4	0	0	NUM
easat-9249	298	5	2	2	NUM
easat-9249	298	6	4	4	NUM
easat-9249	298	7	6	6	NUM
easat-9249	298	8	2015	2015	NUM
easat-9249	298	9	2016	2016	NUM
easat-9249	298	10	2017	2017	NUM
easat-9249	298	11	2018	2018	NUM
easat-9249	298	12	2019	2019	NUM
easat-9249	298	13	2020	2020	NUM
easat-9249	298	14	2021	2021	NUM
easat-9249	298	15	2022	2022	NUM
easat-9249	298	16	2023	2023	NUM
easat-9249	298	17	upington	upington	NOUN
easat-9249	298	18	rf	rf	NOUN
easat-9249	298	19	actual	actual	ADJ
easat-9249	298	20	predicted	predict	VERB
easat-9249	298	21	-2	-2	INTJ
easat-9249	298	22	0	0	NUM
easat-9249	298	23	2	2	NUM
easat-9249	298	24	4	4	NUM
easat-9249	298	25	6	6	NUM
easat-9249	298	26	2015	2015	NUM
easat-9249	298	27	2016	2016	NUM
easat-9249	298	28	2017	2017	NUM
easat-9249	298	29	2018	2018	NUM
easat-9249	298	30	2019	2019	NUM
easat-9249	298	31	2020	2020	NUM
easat-9249	298	32	2021	2021	NUM
easat-9249	298	33	2022	2022	NUM
easat-9249	298	34	2023	2023	NUM
easat-9249	298	35	upington	upington	NOUN
easat-9249	298	36	svm	svm	NOUN
easat-9249	298	37	actual	actual	ADJ
easat-9249	298	38	predicted	predict	VERB
easat-9249	298	39	0	0	NUM
easat-9249	298	40	1	1	NUM
easat-9249	298	41	2	2	NUM
easat-9249	298	42	3	3	NUM
easat-9249	298	43	4	4	NUM
easat-9249	298	44	5	5	NUM
easat-9249	298	45	6	6	NUM
easat-9249	298	46	2015	2015	NUM
easat-9249	298	47	2016	2016	NUM
easat-9249	298	48	2017	2017	NUM
easat-9249	298	49	2018	2018	NUM
easat-9249	298	50	2019	2019	NUM
easat-9249	298	51	2020	2020	NUM
easat-9249	298	52	2021	2021	NUM
easat-9249	298	53	2022	2022	NUM
easat-9249	298	54	2023	2023	NUM
easat-9249	298	55	upington	upington	NOUN
easat-9249	298	56	r&l	r&l	PROPN
easat-9249	298	57	actual	actual	ADJ
easat-9249	298	58	predicted	predict	VERB
easat-9249	298	59	176	176	NUM
easat-9249	298	60	edelweiss	edelweiss	PROPN
easat-9249	298	61	applied	apply	VERB
easat-9249	298	62	science	science	NOUN
easat-9249	298	63	and	and	CCONJ
easat-9249	298	64	technology	technology	NOUN
easat-9249	298	65	issn	issn	PROPN
easat-9249	298	66	:	:	PUNCT
easat-9249	298	67	2576	2576	NUM
easat-9249	298	68	-	-	SYM
easat-9249	298	69	8484	8484	NUM
easat-9249	298	70	vol	vol	NOUN
easat-9249	298	71	.	.	PROPN
easat-9249	299	1	9	9	NUM
easat-9249	299	2	,	,	PUNCT
easat-9249	299	3	no	no	INTJ
easat-9249	299	4	.	.	NOUN
easat-9249	299	5	8	8	NUM
easat-9249	299	6	:	:	SYM
easat-9249	299	7	148	148	NUM
easat-9249	299	8	-	-	SYM
easat-9249	299	9	178	178	NUM
easat-9249	299	10	,	,	PUNCT
easat-9249	299	11	2025	2025	NUM
easat-9249	299	12	doi	doi	NOUN
easat-9249	299	13	:	:	PUNCT
easat-9249	299	14	10.55214/2576	10.55214/2576	NUM
easat-9249	299	15	-	-	SYM
easat-9249	299	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	299	17	©	©	ADP
easat-9249	299	18	2025	2025	NUM
easat-9249	299	19	by	by	ADP
easat-9249	299	20	the	the	DET
easat-9249	299	21	authors	author	NOUN
easat-9249	299	22	;	;	PUNCT
easat-9249	299	23	licensee	licensee	PROPN
easat-9249	299	24	learning	learn	VERB
easat-9249	299	25	gate	gate	NOUN
easat-9249	299	26	determine	determine	VERB
easat-9249	299	27	if	if	SCONJ
easat-9249	299	28	the	the	DET
easat-9249	299	29	same	same	ADJ
easat-9249	299	30	model	model	NOUN
easat-9249	299	31	can	can	AUX
easat-9249	299	32	be	be	AUX
easat-9249	299	33	used	use	VERB
easat-9249	299	34	for	for	ADP
easat-9249	299	35	rainfall	rainfall	NOUN
easat-9249	299	36	prediction	prediction	NOUN
easat-9249	299	37	within	within	ADP
easat-9249	299	38	the	the	DET
easat-9249	299	39	same	same	ADJ
easat-9249	299	40	climatic	climatic	ADJ
easat-9249	299	41	zone	zone	NOUN
easat-9249	299	42	.	.	PUNCT
easat-9249	300	1	these	these	DET
easat-9249	300	2	models	model	NOUN
easat-9249	300	3	were	be	AUX
easat-9249	300	4	selected	select	VERB
easat-9249	300	5	as	as	SCONJ
easat-9249	300	6	they	they	PRON
easat-9249	300	7	have	have	AUX
easat-9249	300	8	shown	show	VERB
easat-9249	300	9	to	to	PART
easat-9249	300	10	be	be	AUX
easat-9249	300	11	accurate	accurate	ADJ
easat-9249	300	12	in	in	ADP
easat-9249	300	13	rainfall	rainfall	NOUN
easat-9249	300	14	prediction	prediction	NOUN
easat-9249	300	15	when	when	SCONJ
easat-9249	300	16	tested	test	VERB
easat-9249	300	17	in	in	ADP
easat-9249	300	18	other	other	ADJ
easat-9249	300	19	regions	region	NOUN
easat-9249	300	20	.	.	PUNCT
easat-9249	301	1	however	however	ADV
easat-9249	301	2	,	,	PUNCT
easat-9249	301	3	much	much	ADJ
easat-9249	301	4	work	work	NOUN
easat-9249	301	5	has	have	AUX
easat-9249	301	6	not	not	PART
easat-9249	301	7	been	be	AUX
easat-9249	301	8	done	do	VERB
easat-9249	301	9	in	in	ADP
easat-9249	301	10	southern	southern	ADJ
easat-9249	301	11	and	and	CCONJ
easat-9249	301	12	south	south	PROPN
easat-9249	301	13	africa	africa	PROPN
easat-9249	301	14	on	on	ADP
easat-9249	301	15	predicting	predict	VERB
easat-9249	301	16	atmospheric	atmospheric	ADJ
easat-9249	301	17	variables	variable	NOUN
easat-9249	301	18	using	use	VERB
easat-9249	301	19	machine	machine	NOUN
easat-9249	301	20	learning	learning	NOUN
easat-9249	301	21	methods	method	NOUN
easat-9249	301	22	.	.	PUNCT
easat-9249	302	1	the	the	DET
easat-9249	302	2	cold	cold	ADJ
easat-9249	302	3	and	and	CCONJ
easat-9249	302	4	semi	semi	ADJ
easat-9249	302	5	-	-	ADJ
easat-9249	302	6	arid	arid	ADJ
easat-9249	302	7	steppe	steppe	NOUN
easat-9249	302	8	climate	climate	NOUN
easat-9249	302	9	is	be	AUX
easat-9249	302	10	mainly	mainly	ADV
easat-9249	302	11	found	find	VERB
easat-9249	302	12	in	in	ADP
easat-9249	302	13	the	the	DET
easat-9249	302	14	free	free	ADJ
easat-9249	302	15	state	state	NOUN
easat-9249	302	16	province	province	NOUN
easat-9249	302	17	.	.	PUNCT
easat-9249	303	1	therefore	therefore	ADV
easat-9249	303	2	,	,	PUNCT
easat-9249	303	3	all	all	DET
easat-9249	303	4	three	three	NUM
easat-9249	303	5	locations	location	NOUN
easat-9249	303	6	,	,	PUNCT
easat-9249	303	7	bloemfontein	bloemfontein	NOUN
easat-9249	303	8	,	,	PUNCT
easat-9249	303	9	springfontein	springfontein	NOUN
easat-9249	303	10	,	,	PUNCT
easat-9249	303	11	and	and	CCONJ
easat-9249	303	12	welkom	welkom	NOUN
easat-9249	303	13	,	,	PUNCT
easat-9249	303	14	are	be	AUX
easat-9249	303	15	in	in	ADP
easat-9249	303	16	the	the	DET
easat-9249	303	17	free	free	ADJ
easat-9249	303	18	state	state	NOUN
easat-9249	303	19	province	province	NOUN
easat-9249	303	20	.	.	PUNCT
easat-9249	304	1	the	the	DET
easat-9249	304	2	result	result	NOUN
easat-9249	304	3	showed	show	VERB
easat-9249	304	4	that	that	SCONJ
easat-9249	304	5	either	either	CCONJ
easat-9249	304	6	linear	linear	ADJ
easat-9249	304	7	regression	regression	NOUN
easat-9249	304	8	or	or	CCONJ
easat-9249	304	9	support	support	VERB
easat-9249	304	10	vector	vector	NOUN
easat-9249	304	11	machines	machine	NOUN
easat-9249	304	12	can	can	AUX
easat-9249	304	13	accurately	accurately	ADV
easat-9249	304	14	predict	predict	VERB
easat-9249	304	15	the	the	DET
easat-9249	304	16	seasonality	seasonality	NOUN
easat-9249	304	17	and	and	CCONJ
easat-9249	304	18	estimate	estimate	VERB
easat-9249	304	19	the	the	DET
easat-9249	304	20	rainfall	rainfall	NOUN
easat-9249	304	21	received	receive	VERB
easat-9249	304	22	in	in	ADP
easat-9249	304	23	the	the	DET
easat-9249	304	24	cold	cold	ADJ
easat-9249	304	25	and	and	CCONJ
easat-9249	304	26	semi	semi	ADJ
easat-9249	304	27	-	-	ADJ
easat-9249	304	28	arid	arid	ADJ
easat-9249	304	29	steppe	steppe	NOUN
easat-9249	304	30	climate	climate	NOUN
easat-9249	304	31	classification	classification	NOUN
easat-9249	304	32	.	.	PUNCT
easat-9249	305	1	random	random	ADJ
easat-9249	305	2	forest	forest	NOUN
easat-9249	305	3	,	,	PUNCT
easat-9249	305	4	ridge	ridge	PROPN
easat-9249	305	5	,	,	PUNCT
easat-9249	305	6	and	and	CCONJ
easat-9249	305	7	lasso	lasso	NOUN
easat-9249	305	8	also	also	ADV
easat-9249	305	9	performed	perform	VERB
easat-9249	305	10	well	well	ADV
easat-9249	305	11	in	in	ADP
easat-9249	305	12	springfontein	springfontein	NOUN
easat-9249	305	13	and	and	CCONJ
easat-9249	305	14	welkom	welkom	NOUN
easat-9249	305	15	.	.	PUNCT
easat-9249	306	1	the	the	DET
easat-9249	306	2	cold	cold	ADJ
easat-9249	306	3	,	,	PUNCT
easat-9249	306	4	arid	arid	ADJ
easat-9249	306	5	desert	desert	NOUN
easat-9249	306	6	is	be	AUX
easat-9249	306	7	majorly	majorly	ADV
easat-9249	306	8	found	find	VERB
easat-9249	306	9	in	in	ADP
easat-9249	306	10	the	the	DET
easat-9249	306	11	western	western	ADJ
easat-9249	306	12	part	part	NOUN
easat-9249	306	13	of	of	ADP
easat-9249	306	14	south	south	PROPN
easat-9249	306	15	africa	africa	PROPN
easat-9249	306	16	.	.	PUNCT
easat-9249	307	1	locations	location	NOUN
easat-9249	307	2	selected	select	VERB
easat-9249	307	3	are	be	AUX
easat-9249	307	4	alexander	alexander	PROPN
easat-9249	307	5	bay	bay	PROPN
easat-9249	307	6	and	and	CCONJ
easat-9249	307	7	bristown	bristown	VERB
easat-9249	307	8	in	in	ADP
easat-9249	307	9	the	the	DET
easat-9249	307	10	northern	northern	ADJ
easat-9249	307	11	cape	cape	PROPN
easat-9249	307	12	province	province	PROPN
easat-9249	307	13	and	and	CCONJ
easat-9249	307	14	beaufort	beaufort	PROPN
easat-9249	307	15	west	west	PROPN
easat-9249	307	16	in	in	ADP
easat-9249	307	17	the	the	DET
easat-9249	307	18	western	western	ADJ
easat-9249	307	19	cape	cape	NOUN
easat-9249	307	20	province	province	NOUN
easat-9249	307	21	.	.	PUNCT
easat-9249	308	1	all	all	DET
easat-9249	308	2	models	model	NOUN
easat-9249	308	3	performed	perform	VERB
easat-9249	308	4	poorly	poorly	ADV
easat-9249	308	5	in	in	ADP
easat-9249	308	6	alexander	alexander	PROPN
easat-9249	308	7	bay	bay	PROPN
easat-9249	308	8	in	in	ADP
easat-9249	308	9	the	the	DET
easat-9249	308	10	prediction	prediction	NOUN
easat-9249	308	11	of	of	ADP
easat-9249	308	12	rainfall	rainfall	NOUN
easat-9249	308	13	.	.	PUNCT
easat-9249	309	1	the	the	DET
easat-9249	309	2	reason	reason	NOUN
easat-9249	309	3	for	for	ADP
easat-9249	309	4	the	the	DET
easat-9249	309	5	poor	poor	ADJ
easat-9249	309	6	performance	performance	NOUN
easat-9249	309	7	could	could	AUX
easat-9249	309	8	not	not	PART
easat-9249	309	9	be	be	AUX
easat-9249	309	10	established	establish	VERB
easat-9249	309	11	in	in	ADP
easat-9249	309	12	this	this	DET
easat-9249	309	13	study	study	NOUN
easat-9249	309	14	.	.	PUNCT
easat-9249	310	1	however	however	ADV
easat-9249	310	2	,	,	PUNCT
easat-9249	310	3	all	all	DET
easat-9249	310	4	other	other	ADJ
easat-9249	310	5	models	model	NOUN
easat-9249	310	6	performed	perform	VERB
easat-9249	310	7	well	well	ADV
easat-9249	310	8	in	in	ADP
easat-9249	310	9	beaufort	beaufort	PROPN
easat-9249	310	10	west	west	PROPN
easat-9249	310	11	and	and	CCONJ
easat-9249	310	12	bristown	bristown	PROPN
easat-9249	310	13	.	.	PUNCT
easat-9249	311	1	however	however	ADV
easat-9249	311	2	,	,	PUNCT
easat-9249	311	3	it	it	PRON
easat-9249	311	4	is	be	AUX
easat-9249	311	5	suggested	suggest	VERB
easat-9249	311	6	that	that	SCONJ
easat-9249	311	7	the	the	DET
easat-9249	311	8	support	support	NOUN
easat-9249	311	9	vector	vector	NOUN
easat-9249	311	10	machine	machine	NOUN
easat-9249	311	11	or	or	CCONJ
easat-9249	311	12	ridge	ridge	NOUN
easat-9249	311	13	and	and	CCONJ
easat-9249	311	14	lasso	lasso	NOUN
easat-9249	311	15	be	be	AUX
easat-9249	311	16	used	use	VERB
easat-9249	311	17	in	in	ADP
easat-9249	311	18	beaufort	beaufort	PROPN
easat-9249	311	19	west	west	PROPN
easat-9249	311	20	.	.	PUNCT
easat-9249	312	1	hot	hot	ADJ
easat-9249	312	2	and	and	CCONJ
easat-9249	312	3	semi	semi	ADJ
easat-9249	312	4	-	-	ADJ
easat-9249	312	5	arid	arid	ADJ
easat-9249	312	6	climate	climate	NOUN
easat-9249	312	7	classification	classification	NOUN
easat-9249	312	8	was	be	AUX
easat-9249	312	9	found	find	VERB
easat-9249	312	10	in	in	ADP
easat-9249	312	11	three	three	NUM
easat-9249	312	12	provinces	province	NOUN
easat-9249	312	13	:	:	PUNCT
easat-9249	312	14	kimberly	kimberly	ADV
easat-9249	312	15	in	in	ADP
easat-9249	312	16	the	the	DET
easat-9249	312	17	northern	northern	ADJ
easat-9249	312	18	cape	cape	NOUN
easat-9249	312	19	province	province	NOUN
easat-9249	312	20	,	,	PUNCT
easat-9249	312	21	mahikeng	mahikeng	PROPN
easat-9249	312	22	in	in	ADP
easat-9249	312	23	the	the	DET
easat-9249	312	24	northwest	northwest	NOUN
easat-9249	312	25	province	province	NOUN
easat-9249	312	26	,	,	PUNCT
easat-9249	312	27	and	and	CCONJ
easat-9249	312	28	port	port	PROPN
easat-9249	312	29	elizabeth	elizabeth	PROPN
easat-9249	312	30	in	in	ADP
easat-9249	312	31	the	the	DET
easat-9249	312	32	eastern	eastern	ADJ
easat-9249	312	33	cape	cape	NOUN
easat-9249	312	34	province	province	NOUN
easat-9249	312	35	.	.	PUNCT
easat-9249	313	1	in	in	ADP
easat-9249	313	2	this	this	DET
easat-9249	313	3	climatic	climatic	ADJ
easat-9249	313	4	zone	zone	NOUN
easat-9249	313	5	,	,	PUNCT
easat-9249	313	6	all	all	DET
easat-9249	313	7	models	model	NOUN
easat-9249	313	8	performed	perform	VERB
easat-9249	313	9	poorly	poorly	ADV
easat-9249	313	10	in	in	ADP
easat-9249	313	11	predicting	predict	VERB
easat-9249	313	12	port	port	PROPN
easat-9249	313	13	elizabeth	elizabeth	PROPN
easat-9249	313	14	’s	’s	PART
easat-9249	313	15	rainfall	rainfall	NOUN
easat-9249	313	16	while	while	SCONJ
easat-9249	313	17	excellently	excellently	ADV
easat-9249	313	18	forecasting	forecast	VERB
easat-9249	313	19	rainfall	rainfall	NOUN
easat-9249	313	20	in	in	ADP
easat-9249	313	21	kimberly	kimberly	PROPN
easat-9249	313	22	and	and	CCONJ
easat-9249	313	23	mahikeng	mahikeng	PROPN
easat-9249	313	24	.	.	PUNCT
easat-9249	314	1	this	this	DET
easat-9249	314	2	study	study	NOUN
easat-9249	314	3	suggests	suggest	VERB
easat-9249	314	4	that	that	SCONJ
easat-9249	314	5	any	any	DET
easat-9249	314	6	models	model	NOUN
easat-9249	314	7	can	can	AUX
easat-9249	314	8	be	be	AUX
easat-9249	314	9	used	use	VERB
easat-9249	314	10	for	for	ADP
easat-9249	314	11	future	future	ADJ
easat-9249	314	12	work	work	NOUN
easat-9249	314	13	in	in	ADP
easat-9249	314	14	hot	hot	ADJ
easat-9249	314	15	and	and	CCONJ
easat-9249	314	16	semi	semi	ADJ
easat-9249	314	17	-	-	ADJ
easat-9249	314	18	arid	arid	ADJ
easat-9249	314	19	climates	climate	NOUN
easat-9249	314	20	.	.	PUNCT
easat-9249	315	1	towards	towards	ADP
easat-9249	315	2	the	the	DET
easat-9249	315	3	northern	northern	ADJ
easat-9249	315	4	part	part	NOUN
easat-9249	315	5	of	of	ADP
easat-9249	315	6	south	south	PROPN
easat-9249	315	7	africa	africa	PROPN
easat-9249	315	8	is	be	AUX
easat-9249	315	9	the	the	DET
easat-9249	315	10	hot	hot	ADJ
easat-9249	315	11	,	,	PUNCT
easat-9249	315	12	arid	arid	NOUN
easat-9249	315	13	desert	desert	NOUN
easat-9249	315	14	.	.	PUNCT
easat-9249	316	1	locations	location	NOUN
easat-9249	316	2	selected	select	VERB
easat-9249	316	3	for	for	ADP
easat-9249	316	4	this	this	DET
easat-9249	316	5	study	study	NOUN
easat-9249	316	6	are	be	AUX
easat-9249	316	7	lauville	lauville	NOUN
easat-9249	316	8	in	in	ADP
easat-9249	316	9	mpumalanga	mpumalanga	PROPN
easat-9249	316	10	province	province	NOUN
easat-9249	316	11	,	,	PUNCT
easat-9249	316	12	musina	musina	NOUN
easat-9249	316	13	in	in	ADP
easat-9249	316	14	limpopo	limpopo	PROPN
easat-9249	316	15	province	province	NOUN
easat-9249	316	16	,	,	PUNCT
easat-9249	316	17	and	and	CCONJ
easat-9249	316	18	upington	upington	NOUN
easat-9249	316	19	in	in	ADP
easat-9249	316	20	northern	northern	ADJ
easat-9249	316	21	cape	cape	NOUN
easat-9249	316	22	province	province	NOUN
easat-9249	316	23	.	.	PUNCT
easat-9249	317	1	the	the	DET
easat-9249	317	2	performance	performance	NOUN
easat-9249	317	3	of	of	ADP
easat-9249	317	4	the	the	DET
easat-9249	317	5	models	model	NOUN
easat-9249	317	6	in	in	ADP
easat-9249	317	7	the	the	DET
easat-9249	317	8	hot	hot	ADJ
easat-9249	317	9	,	,	PUNCT
easat-9249	317	10	arid	arid	ADJ
easat-9249	317	11	desert	desert	NOUN
easat-9249	317	12	was	be	AUX
easat-9249	317	13	not	not	PART
easat-9249	317	14	as	as	ADV
easat-9249	317	15	good	good	ADJ
easat-9249	317	16	compared	compare	VERB
easat-9249	317	17	to	to	ADP
easat-9249	317	18	other	other	ADJ
easat-9249	317	19	regions	region	NOUN
easat-9249	317	20	in	in	ADP
easat-9249	317	21	the	the	DET
easat-9249	317	22	arid	arid	NOUN
easat-9249	317	23	classification	classification	NOUN
easat-9249	317	24	except	except	SCONJ
easat-9249	317	25	in	in	ADP
easat-9249	317	26	musina	musina	NOUN
easat-9249	317	27	,	,	PUNCT
easat-9249	317	28	where	where	SCONJ
easat-9249	317	29	the	the	DET
easat-9249	317	30	models	model	NOUN
easat-9249	317	31	performed	perform	VERB
easat-9249	317	32	well	well	ADV
easat-9249	317	33	,	,	PUNCT
easat-9249	317	34	especially	especially	ADV
easat-9249	317	35	in	in	ADP
easat-9249	317	36	the	the	DET
easat-9249	317	37	support	support	NOUN
easat-9249	317	38	vector	vector	NOUN
easat-9249	317	39	machine	machine	NOUN
easat-9249	317	40	and	and	CCONJ
easat-9249	317	41	random	random	ADJ
easat-9249	317	42	forest	forest	NOUN
easat-9249	317	43	.	.	PUNCT
easat-9249	318	1	although	although	SCONJ
easat-9249	318	2	other	other	ADJ
easat-9249	318	3	models	model	NOUN
easat-9249	318	4	still	still	ADV
easat-9249	318	5	effectively	effectively	ADV
easat-9249	318	6	predicted	predict	VERB
easat-9249	318	7	rainfall	rainfall	NOUN
easat-9249	318	8	,	,	PUNCT
easat-9249	318	9	the	the	DET
easat-9249	318	10	support	support	NOUN
easat-9249	318	11	vector	vector	NOUN
easat-9249	318	12	machine	machine	NOUN
easat-9249	318	13	is	be	AUX
easat-9249	318	14	suggested	suggest	VERB
easat-9249	318	15	to	to	PART
easat-9249	318	16	be	be	AUX
easat-9249	318	17	used	use	VERB
easat-9249	318	18	in	in	ADP
easat-9249	318	19	other	other	ADJ
easat-9249	318	20	locations	location	NOUN
easat-9249	318	21	.	.	PUNCT
easat-9249	319	1	in	in	ADP
easat-9249	319	2	addition	addition	NOUN
easat-9249	319	3	,	,	PUNCT
easat-9249	319	4	the	the	DET
easat-9249	319	5	results	result	NOUN
easat-9249	319	6	showed	show	VERB
easat-9249	319	7	that	that	SCONJ
easat-9249	319	8	cloud	cloud	NOUN
easat-9249	319	9	cover	cover	NOUN
easat-9249	319	10	,	,	PUNCT
easat-9249	319	11	dew	dew	NOUN
easat-9249	319	12	point	point	NOUN
easat-9249	319	13	and	and	CCONJ
easat-9249	319	14	water	water	NOUN
easat-9249	319	15	vapour	vapour	NOUN
easat-9249	319	16	had	have	VERB
easat-9249	319	17	high	high	ADJ
easat-9249	319	18	correlation	correlation	NOUN
easat-9249	319	19	with	with	ADP
easat-9249	319	20	rainfall	rainfall	NOUN
easat-9249	319	21	for	for	ADP
easat-9249	319	22	rainfall	rainfall	NOUN
easat-9249	319	23	prediction	prediction	NOUN
easat-9249	319	24	.	.	PUNCT
easat-9249	320	1	it	it	PRON
easat-9249	320	2	is	be	AUX
easat-9249	320	3	suggested	suggest	VERB
easat-9249	320	4	that	that	SCONJ
easat-9249	320	5	for	for	ADP
easat-9249	320	6	future	future	ADJ
easat-9249	320	7	modelling	modelling	NOUN
easat-9249	320	8	and	and	CCONJ
easat-9249	320	9	predictions	prediction	NOUN
easat-9249	320	10	,	,	PUNCT
easat-9249	320	11	these	these	DET
easat-9249	320	12	atmospheric	atmospheric	ADJ
easat-9249	320	13	variables	variable	NOUN
easat-9249	320	14	should	should	AUX
easat-9249	320	15	be	be	AUX
easat-9249	320	16	included	include	VERB
easat-9249	320	17	to	to	PART
easat-9249	320	18	increase	increase	VERB
easat-9249	320	19	the	the	DET
easat-9249	320	20	performance	performance	NOUN
easat-9249	320	21	of	of	ADP
easat-9249	320	22	the	the	DET
easat-9249	320	23	models	model	NOUN
easat-9249	320	24	.	.	PUNCT
easat-9249	321	1	wind	wind	NOUN
easat-9249	321	2	speed	speed	NOUN
easat-9249	321	3	,	,	PUNCT
easat-9249	321	4	temperature	temperature	NOUN
easat-9249	321	5	,	,	PUNCT
easat-9249	321	6	and	and	CCONJ
easat-9249	321	7	relative	relative	ADJ
easat-9249	321	8	humidity	humidity	NOUN
easat-9249	321	9	only	only	ADV
easat-9249	321	10	strongly	strongly	ADV
easat-9249	321	11	impacted	impact	VERB
easat-9249	321	12	rainfall	rainfall	NOUN
easat-9249	321	13	prediction	prediction	NOUN
easat-9249	321	14	in	in	ADP
easat-9249	321	15	a	a	DET
easat-9249	321	16	few	few	ADJ
easat-9249	321	17	locations	location	NOUN
easat-9249	321	18	.	.	PUNCT
easat-9249	322	1	funding	funding	NOUN
easat-9249	322	2	:	:	PUNCT
easat-9249	322	3	this	this	DET
easat-9249	322	4	work	work	NOUN
easat-9249	322	5	is	be	AUX
easat-9249	322	6	funded	fund	VERB
easat-9249	322	7	by	by	ADP
easat-9249	322	8	the	the	DET
easat-9249	322	9	dsci	dsci	PROPN
easat-9249	322	10	-	-	PUNCT
easat-9249	322	11	nicis	nicis	NOUN
easat-9249	322	12	national	national	ADJ
easat-9249	322	13	e	e	NOUN
easat-9249	322	14	-	-	ADJ
easat-9249	322	15	science	science	ADJ
easat-9249	322	16	postgraduate	postgraduate	NOUN
easat-9249	322	17	teaching	teaching	NOUN
easat-9249	322	18	and	and	CCONJ
easat-9249	322	19	training	training	NOUN
easat-9249	322	20	platform	platform	NOUN
easat-9249	322	21	(	(	PUNCT
easat-9249	322	22	nepttp	nepttp	ADJ
easat-9249	322	23	)	)	PUNCT
easat-9249	322	24	transparency	transparency	NOUN
easat-9249	322	25	:	:	PUNCT
easat-9249	322	26	the	the	DET
easat-9249	322	27	authors	author	NOUN
easat-9249	322	28	confirm	confirm	VERB
easat-9249	322	29	that	that	SCONJ
easat-9249	322	30	the	the	DET
easat-9249	322	31	manuscript	manuscript	NOUN
easat-9249	322	32	is	be	AUX
easat-9249	322	33	an	an	DET
easat-9249	322	34	honest	honest	ADJ
easat-9249	322	35	,	,	PUNCT
easat-9249	322	36	accurate	accurate	ADJ
easat-9249	322	37	,	,	PUNCT
easat-9249	322	38	and	and	CCONJ
easat-9249	322	39	transparent	transparent	ADJ
easat-9249	322	40	account	account	NOUN
easat-9249	322	41	of	of	ADP
easat-9249	322	42	the	the	DET
easat-9249	322	43	study	study	NOUN
easat-9249	322	44	;	;	PUNCT
easat-9249	322	45	that	that	SCONJ
easat-9249	322	46	no	no	DET
easat-9249	322	47	vital	vital	ADJ
easat-9249	322	48	features	feature	NOUN
easat-9249	322	49	of	of	ADP
easat-9249	322	50	the	the	DET
easat-9249	322	51	study	study	NOUN
easat-9249	322	52	have	have	AUX
easat-9249	322	53	been	be	AUX
easat-9249	322	54	omitted	omit	VERB
easat-9249	322	55	;	;	PUNCT
easat-9249	322	56	and	and	CCONJ
easat-9249	322	57	that	that	SCONJ
easat-9249	322	58	any	any	DET
easat-9249	322	59	discrepancies	discrepancy	NOUN
easat-9249	322	60	from	from	ADP
easat-9249	322	61	the	the	DET
easat-9249	322	62	study	study	NOUN
easat-9249	322	63	as	as	SCONJ
easat-9249	322	64	planned	plan	VERB
easat-9249	322	65	have	have	AUX
easat-9249	322	66	been	be	AUX
easat-9249	322	67	explained	explain	VERB
easat-9249	322	68	.	.	PUNCT
easat-9249	323	1	this	this	DET
easat-9249	323	2	study	study	NOUN
easat-9249	323	3	followed	follow	VERB
easat-9249	323	4	all	all	DET
easat-9249	323	5	ethical	ethical	ADJ
easat-9249	323	6	practices	practice	NOUN
easat-9249	323	7	during	during	ADP
easat-9249	323	8	writing	writing	NOUN
easat-9249	323	9	.	.	PUNCT
easat-9249	324	1	acknowledgments	acknowledgment	NOUN
easat-9249	324	2	:	:	PUNCT
easat-9249	324	3	the	the	DET
easat-9249	324	4	authors	author	NOUN
easat-9249	324	5	gladly	gladly	ADV
easat-9249	324	6	recognize	recognize	VERB
easat-9249	324	7	the	the	DET
easat-9249	324	8	infrastructure	infrastructure	NOUN
easat-9249	324	9	support	support	NOUN
easat-9249	324	10	offered	offer	VERB
easat-9249	324	11	by	by	ADP
easat-9249	324	12	sol	sol	PROPN
easat-9249	324	13	plaatje	plaatje	PROPN
easat-9249	324	14	university	university	PROPN
easat-9249	324	15	for	for	ADP
easat-9249	324	16	this	this	DET
easat-9249	324	17	study	study	NOUN
easat-9249	324	18	.	.	PUNCT
easat-9249	325	1	copyright	copyright	NOUN
easat-9249	325	2	:	:	PUNCT
easat-9249	325	3	©	©	PROPN
easat-9249	325	4	2025	2025	NUM
easat-9249	325	5	by	by	ADP
easat-9249	325	6	the	the	DET
easat-9249	325	7	authors	author	NOUN
easat-9249	325	8	.	.	PUNCT
easat-9249	326	1	this	this	DET
easat-9249	326	2	open	open	ADJ
easat-9249	326	3	-	-	PUNCT
easat-9249	326	4	access	access	NOUN
easat-9249	326	5	article	article	NOUN
easat-9249	326	6	is	be	AUX
easat-9249	326	7	distributed	distribute	VERB
easat-9249	326	8	under	under	ADP
easat-9249	326	9	the	the	DET
easat-9249	326	10	terms	term	NOUN
easat-9249	326	11	and	and	CCONJ
easat-9249	326	12	conditions	condition	NOUN
easat-9249	326	13	of	of	ADP
easat-9249	326	14	the	the	DET
easat-9249	326	15	creative	creative	ADJ
easat-9249	326	16	commons	common	NOUN
easat-9249	326	17	attribution	attribution	NOUN
easat-9249	326	18	(	(	PUNCT
easat-9249	326	19	cc	cc	NOUN
easat-9249	326	20	by	by	ADP
easat-9249	326	21	)	)	PUNCT
easat-9249	326	22	license	license	NOUN
easat-9249	326	23	(	(	PUNCT
easat-9249	326	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-9249	326	25	)	)	PUNCT
easat-9249	326	26	.	.	PUNCT
easat-9249	327	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-9249	327	2	177	177	NUM
easat-9249	327	3	edelweiss	edelweiss	PROPN
easat-9249	327	4	applied	apply	VERB
easat-9249	327	5	science	science	NOUN
easat-9249	327	6	and	and	CCONJ
easat-9249	327	7	technology	technology	NOUN
easat-9249	327	8	issn	issn	PROPN
easat-9249	327	9	:	:	PUNCT
easat-9249	327	10	2576	2576	NUM
easat-9249	327	11	-	-	SYM
easat-9249	327	12	8484	8484	NUM
easat-9249	327	13	vol	vol	NOUN
easat-9249	327	14	.	.	PROPN
easat-9249	328	1	9	9	NUM
easat-9249	328	2	,	,	PUNCT
easat-9249	328	3	no	no	INTJ
easat-9249	328	4	.	.	NOUN
easat-9249	328	5	8	8	NUM
easat-9249	328	6	:	:	SYM
easat-9249	328	7	148	148	NUM
easat-9249	328	8	-	-	SYM
easat-9249	328	9	178	178	NUM
easat-9249	328	10	,	,	PUNCT
easat-9249	328	11	2025	2025	NUM
easat-9249	328	12	doi	doi	NOUN
easat-9249	328	13	:	:	PUNCT
easat-9249	328	14	10.55214/2576	10.55214/2576	NUM
easat-9249	328	15	-	-	SYM
easat-9249	328	16	8484.v9i8.9249	8484.v9i8.9249	NUM
easat-9249	328	17	©	©	ADP
easat-9249	328	18	2025	2025	NUM
easat-9249	328	19	by	by	ADP
easat-9249	328	20	the	the	DET
easat-9249	328	21	authors	author	NOUN
easat-9249	328	22	;	;	PUNCT
easat-9249	328	23	licensee	licensee	PROPN
easat-9249	328	24	learning	learn	VERB
easat-9249	328	25	gate	gate	NOUN
easat-9249	328	26	references	reference	NOUN
easat-9249	328	27	[	[	X
easat-9249	328	28	1	1	NUM
easat-9249	328	29	]	]	PUNCT
easat-9249	328	30	a.	a.	NOUN
easat-9249	328	31	ghazikhani	ghazikhani	PROPN
easat-9249	328	32	,	,	PUNCT
easat-9249	328	33	i.	i.	PROPN
easat-9249	328	34	babaeian	babaeian	PROPN
easat-9249	328	35	,	,	PUNCT
easat-9249	328	36	m.	m.	NOUN
easat-9249	328	37	gheibi	gheibi	NOUN
easat-9249	328	38	,	,	PUNCT
easat-9249	328	39	m.	m.	NOUN
easat-9249	328	40	hajiaghaei	hajiaghaei	PROPN
easat-9249	328	41	-	-	PUNCT
easat-9249	328	42	keshteli	keshteli	ADJ
easat-9249	328	43	,	,	PUNCT
easat-9249	328	44	and	and	CCONJ
easat-9249	329	1	a.	a.	NOUN
easat-9249	329	2	m.	m.	NOUN
easat-9249	329	3	fathollahi	fathollahi	NOUN
easat-9249	329	4	-	-	PUNCT
easat-9249	329	5	fard	fard	NOUN
easat-9249	329	6	,	,	PUNCT
easat-9249	329	7	"	"	PUNCT
easat-9249	329	8	a	a	DET
easat-9249	329	9	smart	smart	ADJ
easat-9249	329	10	post	post	ADJ
easat-9249	329	11	-	-	ADJ
easat-9249	329	12	processing	processing	ADJ
easat-9249	329	13	system	system	NOUN
easat-9249	329	14	for	for	ADP
easat-9249	329	15	forecasting	forecast	VERB
easat-9249	329	16	the	the	DET
easat-9249	329	17	climate	climate	NOUN
easat-9249	329	18	precipitation	precipitation	NOUN
easat-9249	329	19	based	base	VERB
easat-9249	329	20	on	on	ADP
easat-9249	329	21	machine	machine	NOUN
easat-9249	329	22	learning	learn	VERB
easat-9249	329	23	computations	computation	NOUN
easat-9249	329	24	,	,	PUNCT
easat-9249	329	25	"	"	PUNCT
easat-9249	329	26	sustainability	sustainability	NOUN
easat-9249	329	27	,	,	PUNCT
easat-9249	329	28	vol	vol	NOUN
easat-9249	329	29	.	.	PROPN
easat-9249	330	1	14	14	NUM
easat-9249	330	2	,	,	PUNCT
easat-9249	330	3	no	no	INTJ
easat-9249	330	4	.	.	NOUN
easat-9249	330	5	11	11	NUM
easat-9249	330	6	,	,	PUNCT
easat-9249	330	7	p.	p.	NOUN
easat-9249	330	8	6624	6624	NUM
easat-9249	330	9	,	,	PUNCT
easat-9249	330	10	2022	2022	NUM
easat-9249	330	11	.	.	PUNCT
easat-9249	331	1	https://doi.org/10.3390/su14116624	https://doi.org/10.3390/su14116624	PUNCT
easat-9249	332	1	[	[	X
easat-9249	332	2	2	2	NUM
easat-9249	332	3	]	]	PUNCT
easat-9249	332	4	c.-h	c.-h	NOUN
easat-9249	332	5	.	.	PUNCT
easat-9249	333	1	jeong	jeong	PROPN
easat-9249	333	2	and	and	CCONJ
easat-9249	333	3	m.	m.	PROPN
easat-9249	333	4	y.	y.	PROPN
easat-9249	333	5	yi	yi	PROPN
easat-9249	333	6	,	,	PUNCT
easat-9249	333	7	"	"	PUNCT
easat-9249	333	8	correcting	correct	VERB
easat-9249	333	9	rainfall	rainfall	NOUN
easat-9249	333	10	forecasts	forecast	NOUN
easat-9249	333	11	of	of	ADP
easat-9249	333	12	a	a	DET
easat-9249	333	13	numerical	numerical	ADJ
easat-9249	333	14	weather	weather	NOUN
easat-9249	333	15	prediction	prediction	NOUN
easat-9249	333	16	model	model	NOUN
easat-9249	333	17	using	use	VERB
easat-9249	333	18	generative	generative	ADJ
easat-9249	333	19	adversarial	adversarial	ADJ
easat-9249	333	20	networks	network	NOUN
easat-9249	333	21	,	,	PUNCT
easat-9249	333	22	"	"	PUNCT
easat-9249	333	23	journal	journal	NOUN
easat-9249	333	24	of	of	ADP
easat-9249	333	25	supercomputing	supercomputing	NOUN
easat-9249	333	26	,	,	PUNCT
easat-9249	333	27	vol	vol	NOUN
easat-9249	333	28	.	.	PROPN
easat-9249	333	29	79	79	NUM
easat-9249	333	30	,	,	PUNCT
easat-9249	333	31	no	no	INTJ
easat-9249	333	32	.	.	NOUN
easat-9249	333	33	2	2	NUM
easat-9249	333	34	,	,	PUNCT
easat-9249	333	35	pp	pp	ADJ
easat-9249	333	36	.	.	PUNCT
easat-9249	333	37	1289	1289	NUM
easat-9249	333	38	-	-	SYM
easat-9249	333	39	1317	1317	NUM
easat-9249	333	40	,	,	PUNCT
easat-9249	333	41	2023	2023	NUM
easat-9249	333	42	.	.	PUNCT
easat-9249	334	1	[	[	X
easat-9249	334	2	3	3	X
easat-9249	334	3	]	]	X
easat-9249	334	4	d.	d.	PROPN
easat-9249	334	5	lucatero	lucatero	PROPN
easat-9249	334	6	,	,	PUNCT
easat-9249	334	7	h.	h.	PROPN
easat-9249	334	8	madsen	madsen	PROPN
easat-9249	334	9	,	,	PUNCT
easat-9249	334	10	j.	j.	PROPN
easat-9249	334	11	c.	c.	PROPN
easat-9249	334	12	refsgaard	refsgaard	PROPN
easat-9249	334	13	,	,	PUNCT
easat-9249	334	14	j.	j.	PROPN
easat-9249	334	15	kidmose	kidmose	PROPN
easat-9249	334	16	,	,	PUNCT
easat-9249	334	17	and	and	CCONJ
easat-9249	334	18	k.	k.	PROPN
easat-9249	334	19	h.	h.	PROPN
easat-9249	334	20	jensen	jensen	PROPN
easat-9249	334	21	,	,	PUNCT
easat-9249	334	22	"	"	PUNCT
easat-9249	334	23	seasonal	seasonal	ADJ
easat-9249	334	24	streamflow	streamflow	NOUN
easat-9249	334	25	forecasts	forecast	NOUN
easat-9249	334	26	in	in	ADP
easat-9249	334	27	the	the	DET
easat-9249	334	28	ahlergaarde	ahlergaarde	PROPN
easat-9249	334	29	catchment	catchment	PROPN
easat-9249	334	30	,	,	PUNCT
easat-9249	334	31	denmark	denmark	PROPN
easat-9249	334	32	:	:	PUNCT
easat-9249	334	33	the	the	DET
easat-9249	334	34	effect	effect	NOUN
easat-9249	334	35	of	of	ADP
easat-9249	334	36	preprocessing	preprocessing	NOUN
easat-9249	334	37	and	and	CCONJ
easat-9249	334	38	post	post	ADJ
easat-9249	334	39	-	-	ADJ
easat-9249	334	40	processing	processing	NOUN
easat-9249	334	41	on	on	ADP
easat-9249	334	42	skill	skill	NOUN
easat-9249	334	43	and	and	CCONJ
easat-9249	334	44	statistical	statistical	ADJ
easat-9249	334	45	consistency	consistency	NOUN
easat-9249	334	46	,	,	PUNCT
easat-9249	334	47	"	"	PUNCT
easat-9249	334	48	hydrology	hydrology	NOUN
easat-9249	334	49	and	and	CCONJ
easat-9249	334	50	earth	earth	NOUN
easat-9249	334	51	system	system	NOUN
easat-9249	334	52	sciences	science	NOUN
easat-9249	334	53	,	,	PUNCT
easat-9249	334	54	vol	vol	NOUN
easat-9249	334	55	.	.	PROPN
easat-9249	335	1	22	22	NUM
easat-9249	335	2	,	,	PUNCT
easat-9249	335	3	no	no	INTJ
easat-9249	335	4	.	.	NOUN
easat-9249	335	5	7	7	NUM
easat-9249	335	6	,	,	PUNCT
easat-9249	335	7	pp	pp	ADJ
easat-9249	335	8	.	.	PUNCT
easat-9249	336	1	3601	3601	NUM
easat-9249	336	2	-	-	SYM
easat-9249	336	3	3617	3617	NUM
easat-9249	336	4	,	,	PUNCT
easat-9249	336	5	2018	2018	NUM
easat-9249	336	6	.	.	PUNCT
easat-9249	337	1	https://doi.org/10.5194/hess22-3601-2018	https://doi.org/10.5194/hess22-3601-2018	PROPN
easat-9249	338	1	[	[	X
easat-9249	338	2	4	4	X
easat-9249	338	3	]	]	PUNCT
easat-9249	338	4	d.	d.	PROPN
easat-9249	338	5	sexton	sexton	PROPN
easat-9249	338	6	et	et	PROPN
easat-9249	338	7	al	al	PROPN
easat-9249	338	8	.	.	PROPN
easat-9249	338	9	,	,	PUNCT
easat-9249	338	10	"	"	PUNCT
easat-9249	338	11	finding	find	VERB
easat-9249	338	12	plausible	plausible	ADJ
easat-9249	338	13	and	and	CCONJ
easat-9249	338	14	diverse	diverse	ADJ
easat-9249	338	15	variants	variant	NOUN
easat-9249	338	16	of	of	ADP
easat-9249	338	17	a	a	DET
easat-9249	338	18	climate	climate	NOUN
easat-9249	338	19	model	model	NOUN
easat-9249	338	20	.	.	PUNCT
easat-9249	339	1	part	part	NOUN
easat-9249	339	2	1	1	NUM
easat-9249	339	3	:	:	PUNCT
easat-9249	339	4	establishing	establish	VERB
easat-9249	339	5	the	the	DET
easat-9249	339	6	relationship	relationship	NOUN
easat-9249	339	7	between	between	ADP
easat-9249	339	8	errors	error	NOUN
easat-9249	339	9	at	at	ADP
easat-9249	339	10	weather	weather	NOUN
easat-9249	339	11	and	and	CCONJ
easat-9249	339	12	climate	climate	NOUN
easat-9249	339	13	time	time	NOUN
easat-9249	339	14	scales	scale	NOUN
easat-9249	339	15	,	,	PUNCT
easat-9249	339	16	"	"	PUNCT
easat-9249	339	17	climate	climate	NOUN
easat-9249	339	18	dynamics	dynamic	NOUN
easat-9249	339	19	,	,	PUNCT
easat-9249	339	20	vol	vol	NOUN
easat-9249	339	21	.	.	PROPN
easat-9249	340	1	53	53	NUM
easat-9249	340	2	,	,	PUNCT
easat-9249	340	3	no	no	INTJ
easat-9249	340	4	.	.	NOUN
easat-9249	340	5	1	1	NUM
easat-9249	340	6	,	,	PUNCT
easat-9249	340	7	pp	pp	ADJ
easat-9249	340	8	.	.	PUNCT
easat-9249	341	1	989	989	NUM
easat-9249	341	2	-	-	SYM
easat-9249	341	3	1022	1022	NUM
easat-9249	341	4	,	,	PUNCT
easat-9249	341	5	2019	2019	NUM
easat-9249	341	6	.	.	PUNCT
easat-9249	342	1	[	[	X
easat-9249	342	2	5	5	X
easat-9249	342	3	]	]	PUNCT
easat-9249	342	4	c.	c.	PROPN
easat-9249	342	5	huntingford	huntingford	PROPN
easat-9249	342	6	,	,	PUNCT
easat-9249	342	7	e.	e.	PROPN
easat-9249	342	8	s.	s.	PROPN
easat-9249	342	9	jeffers	jeffers	PROPN
easat-9249	342	10	,	,	PUNCT
easat-9249	342	11	m.	m.	PROPN
easat-9249	342	12	b.	b.	PROPN
easat-9249	342	13	bonsall	bonsall	PROPN
easat-9249	342	14	,	,	PUNCT
easat-9249	342	15	h.	h.	PROPN
easat-9249	342	16	m.	m.	PROPN
easat-9249	342	17	christensen	christensen	PROPN
easat-9249	342	18	,	,	PUNCT
easat-9249	342	19	t.	t.	NOUN
easat-9249	342	20	lees	lee	NOUN
easat-9249	342	21	,	,	PUNCT
easat-9249	342	22	and	and	CCONJ
easat-9249	342	23	h.	h.	PROPN
easat-9249	342	24	yang	yang	PROPN
easat-9249	342	25	,	,	PUNCT
easat-9249	342	26	"	"	PUNCT
easat-9249	342	27	machine	machine	NOUN
easat-9249	342	28	learning	learning	NOUN
easat-9249	342	29	and	and	CCONJ
easat-9249	342	30	artificial	artificial	ADJ
easat-9249	342	31	intelligence	intelligence	NOUN
easat-9249	342	32	to	to	PART
easat-9249	342	33	aid	aid	VERB
easat-9249	342	34	climate	climate	NOUN
easat-9249	342	35	change	change	NOUN
easat-9249	342	36	research	research	NOUN
easat-9249	342	37	and	and	CCONJ
easat-9249	342	38	preparedness	preparedness	NOUN
easat-9249	342	39	,	,	PUNCT
easat-9249	342	40	"	"	PUNCT
easat-9249	342	41	environmental	environmental	ADJ
easat-9249	342	42	research	research	NOUN
easat-9249	342	43	letters	letter	NOUN
easat-9249	342	44	,	,	PUNCT
easat-9249	342	45	vol	vol	NOUN
easat-9249	342	46	.	.	PROPN
easat-9249	342	47	14	14	NUM
easat-9249	342	48	,	,	PUNCT
easat-9249	342	49	no	no	INTJ
easat-9249	342	50	.	.	NOUN
easat-9249	342	51	12	12	NUM
easat-9249	342	52	,	,	PUNCT
easat-9249	342	53	p.	p.	NOUN
easat-9249	342	54	124007	124007	NUM
easat-9249	342	55	,	,	PUNCT
easat-9249	342	56	2019	2019	NUM
easat-9249	342	57	.	.	PUNCT
easat-9249	343	1	https://doi.org/10.1088/1748-9326/ab4e55	https://doi.org/10.1088/1748-9326/ab4e55	VERB
easat-9249	344	1	[	[	X
easat-9249	344	2	6	6	NUM
easat-9249	344	3	]	]	PUNCT
easat-9249	344	4	b.	b.	PROPN
easat-9249	344	5	bochenek	bochenek	PROPN
easat-9249	344	6	and	and	CCONJ
easat-9249	344	7	z.	z.	PROPN
easat-9249	344	8	ustrnul	ustrnul	PROPN
easat-9249	344	9	,	,	PUNCT
easat-9249	344	10	"	"	PUNCT
easat-9249	344	11	machine	machine	NOUN
easat-9249	344	12	learning	learning	NOUN
easat-9249	344	13	in	in	ADP
easat-9249	344	14	weather	weather	NOUN
easat-9249	344	15	prediction	prediction	NOUN
easat-9249	344	16	and	and	CCONJ
easat-9249	344	17	climate	climate	NOUN
easat-9249	344	18	analyses	analysis	NOUN
easat-9249	344	19	—	—	PUNCT
easat-9249	344	20	applications	application	NOUN
easat-9249	344	21	and	and	CCONJ
easat-9249	344	22	perspectives	perspective	NOUN
easat-9249	344	23	,	,	PUNCT
easat-9249	344	24	"	"	PUNCT
easat-9249	344	25	atmosphere	atmosphere	NOUN
easat-9249	344	26	,	,	PUNCT
easat-9249	344	27	vol	vol	NOUN
easat-9249	344	28	.	.	PROPN
easat-9249	344	29	13	13	NUM
easat-9249	344	30	,	,	PUNCT
easat-9249	344	31	no	no	INTJ
easat-9249	344	32	.	.	NOUN
easat-9249	344	33	2	2	NUM
easat-9249	344	34	,	,	PUNCT
easat-9249	344	35	p.	p.	NOUN
easat-9249	344	36	180	180	NUM
easat-9249	344	37	,	,	PUNCT
easat-9249	344	38	2022	2022	NUM
easat-9249	344	39	.	.	PUNCT
easat-9249	345	1	https://doi.org/10.3390/atmos13020180	https://doi.org/10.3390/atmos13020180	PROPN
easat-9249	346	1	[	[	X
easat-9249	346	2	7	7	NUM
easat-9249	346	3	]	]	PUNCT
easat-9249	346	4	b.	b.	PROPN
easat-9249	346	5	wang	wang	PROPN
easat-9249	346	6	et	et	PROPN
easat-9249	346	7	al	al	PROPN
easat-9249	346	8	.	.	PROPN
easat-9249	346	9	,	,	PUNCT
easat-9249	346	10	"	"	PUNCT
easat-9249	346	11	deep	deep	ADJ
easat-9249	346	12	uncertainty	uncertainty	NOUN
easat-9249	346	13	quantification	quantification	NOUN
easat-9249	346	14	:	:	PUNCT
easat-9249	346	15	a	a	DET
easat-9249	346	16	machine	machine	NOUN
easat-9249	346	17	learning	learn	VERB
easat-9249	346	18	approach	approach	NOUN
easat-9249	346	19	for	for	ADP
easat-9249	346	20	weather	weather	NOUN
easat-9249	346	21	forecasting	forecasting	NOUN
easat-9249	346	22	,	,	PUNCT
easat-9249	346	23	"	"	PUNCT
easat-9249	346	24	in	in	ADP
easat-9249	346	25	proceedings	proceeding	NOUN
easat-9249	346	26	of	of	ADP
easat-9249	346	27	the	the	DET
easat-9249	346	28	25th	25th	ADJ
easat-9249	346	29	acm	acm	PROPN
easat-9249	346	30	sigkdd	sigkdd	NOUN
easat-9249	346	31	international	international	ADJ
easat-9249	346	32	conference	conference	NOUN
easat-9249	346	33	on	on	ADP
easat-9249	346	34	knowledge	knowledge	PROPN
easat-9249	346	35	discovery	discovery	PROPN
easat-9249	346	36	&	&	CCONJ
easat-9249	346	37	data	data	PROPN
easat-9249	346	38	mining	mining	NOUN
easat-9249	346	39	(	(	PUNCT
easat-9249	346	40	pp	pp	ADJ
easat-9249	346	41	.	.	PUNCT
easat-9249	346	42	2087	2087	NUM
easat-9249	346	43	-	-	SYM
easat-9249	346	44	2095	2095	NUM
easat-9249	346	45	)	)	PUNCT
easat-9249	346	46	,	,	PUNCT
easat-9249	346	47	2019	2019	NUM
easat-9249	346	48	.	.	PUNCT
easat-9249	347	1	[	[	X
easat-9249	347	2	8	8	NUM
easat-9249	347	3	]	]	X
easat-9249	347	4	p.	p.	NOUN
easat-9249	347	5	hewage	hewage	NOUN
easat-9249	347	6	,	,	PUNCT
easat-9249	347	7	m.	m.	NOUN
easat-9249	347	8	trovati	trovati	PROPN
easat-9249	347	9	,	,	PUNCT
easat-9249	347	10	e.	e.	PROPN
easat-9249	347	11	pereira	pereira	PROPN
easat-9249	347	12	,	,	PUNCT
easat-9249	347	13	and	and	CCONJ
easat-9249	347	14	a.	a.	PROPN
easat-9249	347	15	behera	behera	PROPN
easat-9249	347	16	,	,	PUNCT
easat-9249	347	17	"	"	PUNCT
easat-9249	347	18	deep	deep	ADJ
easat-9249	347	19	learning	learning	NOUN
easat-9249	347	20	-	-	PUNCT
easat-9249	347	21	based	base	VERB
easat-9249	347	22	effective	effective	ADJ
easat-9249	347	23	fine	fine	ADV
easat-9249	347	24	-	-	PUNCT
easat-9249	347	25	grained	grain	VERB
easat-9249	347	26	weather	weather	NOUN
easat-9249	347	27	forecasting	forecasting	NOUN
easat-9249	347	28	model	model	NOUN
easat-9249	347	29	,	,	PUNCT
easat-9249	347	30	"	"	PUNCT
easat-9249	347	31	pattern	pattern	NOUN
easat-9249	347	32	analysis	analysis	NOUN
easat-9249	347	33	and	and	CCONJ
easat-9249	347	34	applications	application	NOUN
easat-9249	347	35	,	,	PUNCT
easat-9249	347	36	vol	vol	NOUN
easat-9249	347	37	.	.	PROPN
easat-9249	347	38	24	24	NUM
easat-9249	347	39	,	,	PUNCT
easat-9249	347	40	no	no	INTJ
easat-9249	347	41	.	.	NOUN
easat-9249	347	42	1	1	NUM
easat-9249	347	43	,	,	PUNCT
easat-9249	347	44	pp	pp	ADJ
easat-9249	347	45	.	.	PUNCT
easat-9249	347	46	343	343	NUM
easat-9249	347	47	-	-	SYM
easat-9249	347	48	366	366	NUM
easat-9249	347	49	,	,	PUNCT
easat-9249	347	50	2021	2021	NUM
easat-9249	347	51	.	.	PUNCT
easat-9249	348	1	[	[	X
easat-9249	348	2	9	9	NUM
easat-9249	348	3	]	]	PUNCT
easat-9249	348	4	s.	s.	PROPN
easat-9249	348	5	landman	landman	PROPN
easat-9249	348	6	,	,	PUNCT
easat-9249	348	7	f.	f.	PROPN
easat-9249	348	8	a.	a.	PROPN
easat-9249	348	9	engelbrecht	engelbrecht	PROPN
easat-9249	348	10	,	,	PUNCT
easat-9249	348	11	and	and	CCONJ
easat-9249	348	12	c.	c.	PROPN
easat-9249	348	13	j.	j.	PROPN
easat-9249	348	14	engelbrecht	engelbrecht	PROPN
easat-9249	348	15	,	,	PUNCT
easat-9249	348	16	"	"	PUNCT
easat-9249	348	17	a	a	DET
easat-9249	348	18	short	short	ADJ
easat-9249	348	19	-	-	PUNCT
easat-9249	348	20	range	range	NOUN
easat-9249	348	21	weather	weather	NOUN
easat-9249	348	22	prediction	prediction	NOUN
easat-9249	348	23	system	system	NOUN
easat-9249	348	24	for	for	ADP
easat-9249	348	25	south	south	PROPN
easat-9249	348	26	africa	africa	PROPN
easat-9249	348	27	based	base	VERB
easat-9249	348	28	on	on	ADP
easat-9249	348	29	a	a	DET
easat-9249	348	30	multi	multi	ADJ
easat-9249	348	31	-	-	ADJ
easat-9249	348	32	model	model	ADJ
easat-9249	348	33	approach	approach	NOUN
easat-9249	348	34	,	,	PUNCT
easat-9249	348	35	"	"	PUNCT
easat-9249	348	36	water	water	PROPN
easat-9249	348	37	sa	sa	PROPN
easat-9249	348	38	,	,	PUNCT
easat-9249	348	39	vol	vol	NOUN
easat-9249	348	40	.	.	PROPN
easat-9249	348	41	38	38	NUM
easat-9249	348	42	,	,	PUNCT
easat-9249	348	43	no	no	INTJ
easat-9249	348	44	.	.	NOUN
easat-9249	348	45	5	5	NUM
easat-9249	348	46	,	,	PUNCT
easat-9249	348	47	pp	pp	ADJ
easat-9249	348	48	.	.	PUNCT
easat-9249	349	1	765	765	NUM
easat-9249	349	2	-	-	SYM
easat-9249	349	3	774	774	NUM
easat-9249	349	4	,	,	PUNCT
easat-9249	349	5	2012	2012	NUM
easat-9249	349	6	.	.	PUNCT
easat-9249	350	1	[	[	X
easat-9249	350	2	10	10	NUM
easat-9249	350	3	]	]	X
easat-9249	350	4	d.	d.	PROPN
easat-9249	350	5	sumbiri	sumbiri	PROPN
easat-9249	350	6	and	and	CCONJ
easat-9249	350	7	t.	t.	PROPN
easat-9249	350	8	j.	j.	PROPN
easat-9249	350	9	afullo	afullo	PROPN
easat-9249	350	10	,	,	PUNCT
easat-9249	350	11	"	"	PUNCT
easat-9249	350	12	an	an	DET
easat-9249	350	13	overview	overview	NOUN
easat-9249	350	14	of	of	ADP
easat-9249	350	15	rainfall	rainfall	NOUN
easat-9249	350	16	fading	fade	VERB
easat-9249	350	17	prediction	prediction	NOUN
easat-9249	350	18	models	model	NOUN
easat-9249	350	19	for	for	ADP
easat-9249	350	20	satellite	satellite	NOUN
easat-9249	350	21	links	link	NOUN
easat-9249	350	22	in	in	ADP
easat-9249	350	23	southern	southern	PROPN
easat-9249	350	24	africa	africa	PROPN
easat-9249	350	25	,	,	PUNCT
easat-9249	350	26	"	"	PUNCT
easat-9249	350	27	progress	progress	NOUN
easat-9249	350	28	in	in	ADP
easat-9249	350	29	electromagnetics	electromagnetic	NOUN
easat-9249	350	30	research	research	NOUN
easat-9249	350	31	,	,	PUNCT
easat-9249	350	32	vol	vol	NOUN
easat-9249	350	33	.	.	PROPN
easat-9249	350	34	90	90	NUM
easat-9249	350	35	,	,	PUNCT
easat-9249	350	36	pp	pp	ADJ
easat-9249	350	37	.	.	PUNCT
easat-9249	351	1	187	187	NUM
easat-9249	351	2	-	-	SYM
easat-9249	351	3	205	205	NUM
easat-9249	351	4	,	,	PUNCT
easat-9249	351	5	2021	2021	NUM
easat-9249	351	6	.	.	PUNCT
easat-9249	352	1	[	[	X
easat-9249	352	2	11	11	NUM
easat-9249	352	3	]	]	PUNCT
easat-9249	352	4	m.-j	m.-j	PROPN
easat-9249	352	5	.	.	PUNCT
easat-9249	352	6	m.	m.	NOUN
easat-9249	352	7	bopape	bopape	PROPN
easat-9249	352	8	et	et	PROPN
easat-9249	352	9	al	al	PROPN
easat-9249	352	10	.	.	PROPN
easat-9249	352	11	,	,	PUNCT
easat-9249	352	12	"	"	PUNCT
easat-9249	352	13	evaluating	evaluate	VERB
easat-9249	352	14	south	south	ADJ
easat-9249	352	15	african	african	ADJ
easat-9249	352	16	weather	weather	NOUN
easat-9249	352	17	service	service	NOUN
easat-9249	352	18	information	information	NOUN
easat-9249	352	19	on	on	ADP
easat-9249	352	20	idai	idai	PROPN
easat-9249	352	21	tropical	tropical	ADJ
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easat-9249	352	26	events	event	NOUN
easat-9249	352	27	,	,	PUNCT
easat-9249	352	28	"	"	PUNCT
easat-9249	352	29	south	south	ADJ
easat-9249	352	30	african	african	ADJ
easat-9249	352	31	journal	journal	NOUN
easat-9249	352	32	of	of	ADP
easat-9249	352	33	science	science	NOUN
easat-9249	352	34	,	,	PUNCT
easat-9249	352	35	vol	vol	NOUN
easat-9249	352	36	.	.	PROPN
easat-9249	352	37	117	117	NUM
easat-9249	352	38	,	,	PUNCT
easat-9249	352	39	no	no	INTJ
easat-9249	352	40	.	.	NOUN
easat-9249	352	41	3	3	NUM
easat-9249	352	42	-	-	SYM
easat-9249	352	43	4	4	NUM
easat-9249	352	44	,	,	PUNCT
easat-9249	352	45	2021	2021	NUM
easat-9249	352	46	.	.	PUNCT
easat-9249	353	1	[	[	X
easat-9249	353	2	12	12	NUM
easat-9249	353	3	]	]	X
easat-9249	353	4	f.	f.	PROPN
easat-9249	353	5	muyambo	muyambo	PROPN
easat-9249	353	6	,	,	PUNCT
easat-9249	353	7	a.	a.	PROPN
easat-9249	353	8	j.	j.	PROPN
easat-9249	353	9	jordaan	jordaan	PROPN
easat-9249	353	10	,	,	PUNCT
easat-9249	353	11	and	and	CCONJ
easat-9249	353	12	y.	y.	PROPN
easat-9249	353	13	t.	t.	PROPN
easat-9249	353	14	bahta	bahta	PROPN
easat-9249	353	15	,	,	PUNCT
easat-9249	353	16	"	"	PUNCT
easat-9249	353	17	assessing	assess	VERB
easat-9249	353	18	social	social	ADJ
easat-9249	353	19	vulnerability	vulnerability	NOUN
easat-9249	353	20	to	to	ADP
easat-9249	353	21	drought	drought	NOUN
easat-9249	353	22	in	in	ADP
easat-9249	353	23	south	south	PROPN
easat-9249	353	24	africa	africa	PROPN
easat-9249	353	25	:	:	PUNCT
easat-9249	353	26	policy	policy	NOUN
easat-9249	353	27	implication	implication	NOUN
easat-9249	353	28	for	for	ADP
easat-9249	353	29	drought	drought	NOUN
easat-9249	353	30	risk	risk	NOUN
easat-9249	353	31	reduction	reduction	NOUN
easat-9249	353	32	,	,	PUNCT
easat-9249	353	33	"	"	PUNCT
easat-9249	353	34	jàmbá	jàmbá	PROPN
easat-9249	353	35	:	:	PUNCT
easat-9249	353	36	journal	journal	NOUN
easat-9249	353	37	of	of	ADP
easat-9249	353	38	disaster	disaster	NOUN
easat-9249	353	39	risk	risk	NOUN
easat-9249	353	40	studies	study	NOUN
easat-9249	353	41	,	,	PUNCT
easat-9249	353	42	vol	vol	NOUN
easat-9249	353	43	.	.	PROPN
easat-9249	354	1	9	9	NUM
easat-9249	354	2	,	,	PUNCT
easat-9249	354	3	no	no	INTJ
easat-9249	354	4	.	.	NOUN
easat-9249	354	5	1	1	NUM
easat-9249	354	6	,	,	PUNCT
easat-9249	354	7	pp	pp	ADJ
easat-9249	354	8	.	.	PUNCT
easat-9249	355	1	1	1	NUM
easat-9249	355	2	-	-	SYM
easat-9249	355	3	7	7	NUM
easat-9249	355	4	,	,	PUNCT
easat-9249	355	5	2017	2017	NUM
easat-9249	355	6	.	.	PUNCT
easat-9249	356	1	https://doi.org/10.4102/jamba.v9i1.326	https://doi.org/10.4102/jamba.v9i1.326	NOUN
easat-9249	356	2	[	[	X
easat-9249	356	3	13	13	NUM
easat-9249	356	4	]	]	PUNCT
easat-9249	356	5	m.-a	m.-a	NOUN
easat-9249	356	6	.	.	PUNCT
easat-9249	357	1	baudoin	baudoin	PROPN
easat-9249	357	2	,	,	PUNCT
easat-9249	357	3	c.	c.	PROPN
easat-9249	357	4	vogel	vogel	PROPN
easat-9249	357	5	,	,	PUNCT
easat-9249	357	6	k.	k.	PROPN
easat-9249	357	7	nortje	nortje	PROPN
easat-9249	357	8	,	,	PUNCT
easat-9249	357	9	and	and	CCONJ
easat-9249	357	10	m.	m.	PROPN
easat-9249	357	11	naik	naik	PROPN
easat-9249	357	12	,	,	PUNCT
easat-9249	357	13	"	"	PUNCT
easat-9249	357	14	living	live	VERB
easat-9249	357	15	with	with	ADP
easat-9249	357	16	drought	drought	NOUN
easat-9249	357	17	in	in	ADP
easat-9249	357	18	south	south	PROPN
easat-9249	357	19	africa	africa	PROPN
easat-9249	357	20	:	:	PUNCT
easat-9249	358	1	lessons	lesson	NOUN
easat-9249	358	2	learnt	learn	VERB
easat-9249	358	3	from	from	ADP
easat-9249	358	4	the	the	DET
easat-9249	358	5	recent	recent	ADJ
easat-9249	358	6	el	el	PROPN
easat-9249	358	7	niño	niño	PROPN
easat-9249	358	8	drought	drought	PROPN
easat-9249	358	9	period	period	NOUN
easat-9249	358	10	,	,	PUNCT
easat-9249	358	11	"	"	PUNCT
easat-9249	358	12	international	international	ADJ
easat-9249	358	13	journal	journal	NOUN
easat-9249	358	14	of	of	ADP
easat-9249	358	15	disaster	disaster	NOUN
easat-9249	358	16	risk	risk	NOUN
easat-9249	358	17	reduction	reduction	NOUN
easat-9249	358	18	,	,	PUNCT
easat-9249	358	19	vol	vol	NOUN
easat-9249	358	20	.	.	PROPN
easat-9249	358	21	23	23	NUM
easat-9249	358	22	,	,	PUNCT
easat-9249	358	23	pp	pp	ADJ
easat-9249	358	24	.	.	PUNCT
easat-9249	358	25	128	128	NUM
easat-9249	358	26	-	-	SYM
easat-9249	358	27	137	137	NUM
easat-9249	358	28	,	,	PUNCT
easat-9249	358	29	2017	2017	NUM
easat-9249	358	30	.	.	PUNCT
easat-9249	359	1	[	[	X
easat-9249	359	2	14	14	NUM
easat-9249	359	3	]	]	X
easat-9249	359	4	f.	f.	PROPN
easat-9249	359	5	mare	mare	PROPN
easat-9249	359	6	,	,	PUNCT
easat-9249	359	7	y.	y.	PROPN
easat-9249	359	8	t.	t.	PROPN
easat-9249	359	9	bahta	bahta	PROPN
easat-9249	359	10	,	,	PUNCT
easat-9249	359	11	and	and	CCONJ
easat-9249	359	12	w.	w.	PROPN
easat-9249	359	13	van	van	PROPN
easat-9249	359	14	niekerk	niekerk	PROPN
easat-9249	359	15	,	,	PUNCT
easat-9249	359	16	"	"	PUNCT
easat-9249	359	17	the	the	DET
easat-9249	359	18	impact	impact	NOUN
easat-9249	359	19	of	of	ADP
easat-9249	359	20	drought	drought	NOUN
easat-9249	359	21	on	on	ADP
easat-9249	359	22	commercial	commercial	ADJ
easat-9249	359	23	livestock	livestock	NOUN
easat-9249	359	24	farmers	farmer	NOUN
easat-9249	359	25	in	in	ADP
easat-9249	359	26	south	south	PROPN
easat-9249	359	27	africa	africa	PROPN
easat-9249	359	28	,	,	PUNCT
easat-9249	359	29	"	"	PUNCT
easat-9249	359	30	development	development	NOUN
easat-9249	359	31	in	in	ADP
easat-9249	359	32	practice	practice	NOUN
easat-9249	359	33	,	,	PUNCT
easat-9249	359	34	vol	vol	NOUN
easat-9249	359	35	.	.	PROPN
easat-9249	359	36	28	28	NUM
easat-9249	359	37	,	,	PUNCT
easat-9249	359	38	no	no	INTJ
easat-9249	359	39	.	.	NOUN
easat-9249	359	40	7	7	NUM
easat-9249	359	41	,	,	PUNCT
easat-9249	359	42	pp	pp	PROPN
easat-9249	359	43	.	.	PUNCT
easat-9249	359	44	884	884	NUM
easat-9249	359	45	-	-	SYM
easat-9249	359	46	898	898	NUM
easat-9249	359	47	,	,	PUNCT
easat-9249	359	48	2018	2018	NUM
easat-9249	359	49	.	.	PUNCT
easat-9249	360	1	[	[	X
easat-9249	360	2	15	15	NUM
easat-9249	360	3	]	]	X
easat-9249	360	4	m.	m.	NOUN
easat-9249	360	5	e.-a	e.-a	PROPN
easat-9249	360	6	.	.	PUNCT
easat-9249	361	1	r.	r.	PROPN
easat-9249	361	2	c.	c.	PROPN
easat-9249	361	3	moeletsi	moeletsi	PROPN
easat-9249	361	4	,	,	PUNCT
easat-9249	361	5	z.	z.	PROPN
easat-9249	361	6	p.-a	p.-a	PROPN
easat-9249	361	7	.	.	PUNCT
easat-9249	362	1	r.	r.	PROPN
easat-9249	362	2	c.	c.	PROPN
easat-9249	362	3	shabalala	shabalala	PROPN
easat-9249	362	4	,	,	PUNCT
easat-9249	362	5	g.-a	g.-a	PROPN
easat-9249	362	6	.	.	PUNCT
easat-9249	363	1	r.	r.	PROPN
easat-9249	363	2	c.	c.	PROPN
easat-9249	363	3	de	de	PROPN
easat-9249	363	4	nysschen	nysschen	PROPN
easat-9249	363	5	,	,	PUNCT
easat-9249	363	6	m.	m.	PROPN
easat-9249	363	7	e.	e.	PROPN
easat-9249	363	8	moeletsi	moeletsi	PROPN
easat-9249	363	9	,	,	PUNCT
easat-9249	363	10	and	and	CCONJ
easat-9249	363	11	s.	s.	PROPN
easat-9249	363	12	walker	walker	PROPN
easat-9249	363	13	,	,	PUNCT
easat-9249	363	14	"	"	PUNCT
easat-9249	363	15	evaluation	evaluation	NOUN
easat-9249	363	16	of	of	ADP
easat-9249	363	17	an	an	DET
easat-9249	363	18	inverse	inverse	NOUN
easat-9249	363	19	distance	distance	NOUN
easat-9249	363	20	weighting	weighting	NOUN
easat-9249	363	21	method	method	NOUN
easat-9249	363	22	for	for	ADP
easat-9249	363	23	patching	patch	VERB
easat-9249	363	24	daily	daily	ADJ
easat-9249	363	25	and	and	CCONJ
easat-9249	363	26	dekadal	dekadal	ADJ
easat-9249	363	27	rainfall	rainfall	NOUN
easat-9249	363	28	over	over	ADP
easat-9249	363	29	the	the	DET
easat-9249	363	30	free	free	ADJ
easat-9249	363	31	state	state	NOUN
easat-9249	363	32	province	province	NOUN
easat-9249	363	33	,	,	PUNCT
easat-9249	363	34	south	south	PROPN
easat-9249	363	35	africa	africa	PROPN
easat-9249	363	36	,	,	PUNCT
easat-9249	363	37	"	"	PUNCT
easat-9249	363	38	water	water	PROPN
easat-9249	363	39	sa	sa	PROPN
easat-9249	363	40	,	,	PUNCT
easat-9249	363	41	vol	vol	NOUN
easat-9249	363	42	.	.	PROPN
easat-9249	364	1	42	42	NUM
easat-9249	364	2	,	,	PUNCT
easat-9249	364	3	no	no	INTJ
easat-9249	364	4	.	.	NOUN
easat-9249	364	5	3	3	NUM
easat-9249	364	6	,	,	PUNCT
easat-9249	364	7	pp	pp	ADJ
easat-9249	364	8	.	.	PUNCT
easat-9249	365	1	466	466	NUM
easat-9249	365	2	-	-	PUNCT
easat-9249	365	3	474	474	NUM
easat-9249	365	4	,	,	PUNCT
easat-9249	365	5	2016	2016	NUM
easat-9249	365	6	.	.	PUNCT
easat-9249	366	1	https://doi.org/10.4314/wsa.v42i3.12	https://doi.org/10.4314/wsa.v42i3.12	X
easat-9249	367	1	[	[	X
easat-9249	367	2	16	16	NUM
easat-9249	367	3	]	]	PUNCT
easat-9249	367	4	v.	v.	ADP
easat-9249	367	5	sivakumar	sivakumar	PROPN
easat-9249	367	6	and	and	CCONJ
easat-9249	367	7	f.	f.	PROPN
easat-9249	367	8	fazel	fazel	PROPN
easat-9249	367	9	-	-	PUNCT
easat-9249	367	10	rastgar	rastgar	NOUN
easat-9249	367	11	,	,	PUNCT
easat-9249	367	12	"	"	PUNCT
easat-9249	367	13	heavy	heavy	ADJ
easat-9249	367	14	rainfall	rainfall	NOUN
easat-9249	367	15	resulting	result	VERB
easat-9249	367	16	from	from	ADP
easat-9249	367	17	extreme	extreme	ADJ
easat-9249	367	18	weather	weather	NOUN
easat-9249	367	19	disturbances	disturbance	NOUN
easat-9249	367	20	in	in	ADP
easat-9249	367	21	eastern	eastern	ADJ
easat-9249	367	22	coastal	coastal	ADJ
easat-9249	367	23	parts	part	NOUN
easat-9249	367	24	of	of	ADP
easat-9249	367	25	south	south	PROPN
easat-9249	367	26	africa	africa	PROPN
easat-9249	367	27	,	,	PUNCT
easat-9249	367	28	"	"	PUNCT
easat-9249	367	29	in	in	ADP
easat-9249	367	30	proceedings	proceeding	NOUN
easat-9249	367	31	of	of	ADP
easat-9249	367	32	the	the	DET
easat-9249	367	33	earth	earth	NOUN
easat-9249	367	34	and	and	CCONJ
easat-9249	367	35	environmental	environmental	PROPN
easat-9249	367	36	sciences	sciences	PROPN
easat-9249	367	37	international	international	ADJ
easat-9249	367	38	webinar	webinar	NOUN
easat-9249	367	39	conference	conference	NOUN
easat-9249	367	40	(	(	PUNCT
easat-9249	367	41	pp	pp	ADJ
easat-9249	367	42	.	.	PUNCT
easat-9249	367	43	161186	161186	NUM
easat-9249	367	44	)	)	PUNCT
easat-9249	367	45	.	.	PUNCT
easat-9249	368	1	cham	cham	PROPN
easat-9249	368	2	:	:	PUNCT
easat-9249	368	3	springer	springer	NOUN
easat-9249	368	4	international	international	ADJ
easat-9249	368	5	publishing	publishing	NOUN
easat-9249	368	6	,	,	PUNCT
easat-9249	368	7	2023	2023	NUM
easat-9249	368	8	.	.	PUNCT
easat-9249	369	1	[	[	X
easat-9249	369	2	17	17	NUM
easat-9249	369	3	]	]	PUNCT
easat-9249	369	4	government	government	NOUN
easat-9249	369	5	communication	communication	NOUN
easat-9249	369	6	and	and	CCONJ
easat-9249	369	7	information	information	NOUN
easat-9249	369	8	system	system	NOUN
easat-9249	369	9	,	,	PUNCT
easat-9249	369	10	south	south	ADJ
easat-9249	369	11	african	african	ADJ
easat-9249	369	12	yearbook	yearbook	VERB
easat-9249	369	13	2011/2012	2011/2012	NUM
easat-9249	369	14	.	.	PUNCT
easat-9249	370	1	pretoria	pretoria	PROPN
easat-9249	370	2	,	,	PUNCT
easat-9249	370	3	south	south	PROPN
easat-9249	370	4	africa	africa	PROPN
easat-9249	370	5	:	:	PUNCT
easat-9249	370	6	government	government	NOUN
easat-9249	370	7	of	of	ADP
easat-9249	370	8	the	the	DET
easat-9249	370	9	republic	republic	NOUN
easat-9249	370	10	of	of	ADP
easat-9249	370	11	south	south	PROPN
easat-9249	370	12	africa	africa	PROPN
easat-9249	370	13	,	,	PUNCT
easat-9249	370	14	2012	2012	NUM
easat-9249	370	15	.	.	PUNCT
easat-9249	371	1	[	[	X
easat-9249	371	2	18	18	NUM
easat-9249	371	3	]	]	X
easat-9249	371	4	i.	i.	NOUN
easat-9249	371	5	sungkawa	sungkawa	PROPN
easat-9249	371	6	and	and	CCONJ
easat-9249	371	7	a.	a.	NOUN
easat-9249	371	8	rahayu	rahayu	PROPN
easat-9249	371	9	,	,	PUNCT
easat-9249	371	10	"	"	PUNCT
easat-9249	371	11	extreme	extreme	ADJ
easat-9249	371	12	rainfall	rainfall	NOUN
easat-9249	371	13	prediction	prediction	NOUN
easat-9249	371	14	using	use	VERB
easat-9249	371	15	bayesian	bayesian	NOUN
easat-9249	371	16	quantile	quantile	ADJ
easat-9249	371	17	regression	regression	NOUN
easat-9249	371	18	in	in	ADP
easat-9249	371	19	statistical	statistical	ADJ
easat-9249	371	20	downscaling	downscale	VERB
easat-9249	371	21	modeling	modeling	NOUN
easat-9249	371	22	,	,	PUNCT
easat-9249	371	23	"	"	PUNCT
easat-9249	371	24	procedia	procedia	NOUN
easat-9249	371	25	computer	computer	NOUN
easat-9249	371	26	science	science	NOUN
easat-9249	371	27	,	,	PUNCT
easat-9249	371	28	vol	vol	NOUN
easat-9249	371	29	.	.	PROPN
easat-9249	371	30	157	157	NUM
easat-9249	371	31	,	,	PUNCT
easat-9249	371	32	pp	pp	ADJ
easat-9249	371	33	.	.	PUNCT
easat-9249	372	1	406–413	406–413	NUM
easat-9249	372	2	,	,	PUNCT
easat-9249	372	3	2019	2019	NUM
easat-9249	372	4	.	.	PUNCT
easat-9249	373	1	[	[	X
easat-9249	373	2	19	19	NUM
easat-9249	373	3	]	]	X
easat-9249	373	4	r.	r.	PROPN
easat-9249	373	5	h.	h.	PROPN
easat-9249	373	6	parker	parker	PROPN
easat-9249	373	7	,	,	PUNCT
easat-9249	373	8	"	"	PUNCT
easat-9249	373	9	strategies	strategy	NOUN
easat-9249	373	10	in	in	ADP
easat-9249	373	11	the	the	DET
easat-9249	373	12	beaufort	beaufort	PROPN
easat-9249	373	13	west	west	PROPN
easat-9249	373	14	region	region	PROPN
easat-9249	373	15	to	to	PART
easat-9249	373	16	mitigate	mitigate	VERB
easat-9249	373	17	the	the	DET
easat-9249	373	18	negative	negative	ADJ
easat-9249	373	19	financial	financial	ADJ
easat-9249	373	20	impacts	impact	NOUN
easat-9249	373	21	of	of	ADP
easat-9249	373	22	a	a	DET
easat-9249	373	23	drought	drought	NOUN
easat-9249	373	24	,	,	PUNCT
easat-9249	373	25	"	"	PUNCT
easat-9249	373	26	doctoral	doctoral	ADJ
easat-9249	373	27	dissertation	dissertation	NOUN
easat-9249	373	28	,	,	PUNCT
easat-9249	373	29	stellenbosch	stellenbosch	PROPN
easat-9249	373	30	:	:	PUNCT
easat-9249	373	31	stellenbosch	stellenbosch	PROPN
easat-9249	373	32	university	university	PROPN
easat-9249	373	33	,	,	PUNCT
easat-9249	373	34	2020	2020	NUM
easat-9249	373	35	.	.	PUNCT
easat-9249	374	1	[	[	X
easat-9249	374	2	20	20	NUM
easat-9249	374	3	]	]	X
easat-9249	374	4	national	national	PROPN
easat-9249	374	5	drought	drought	PROPN
easat-9249	374	6	task	task	PROPN
easat-9249	374	7	team	team	NOUN
easat-9249	374	8	,	,	PUNCT
easat-9249	374	9	south	south	ADJ
easat-9249	374	10	african	african	ADJ
easat-9249	374	11	drought	drought	NOUN
easat-9249	374	12	report	report	NOUN
easat-9249	374	13	.	.	PUNCT
easat-9249	375	1	pretoria	pretoria	PROPN
easat-9249	375	2	,	,	PUNCT
easat-9249	375	3	south	south	PROPN
easat-9249	375	4	africa	africa	PROPN
easat-9249	375	5	:	:	PUNCT
easat-9249	375	6	department	department	PROPN
easat-9249	375	7	of	of	ADP
easat-9249	375	8	agriculture	agriculture	PROPN
easat-9249	375	9	,	,	PUNCT
easat-9249	375	10	forestry	forestry	NOUN
easat-9249	375	11	and	and	CCONJ
easat-9249	375	12	fisheries	fishery	NOUN
easat-9249	375	13	,	,	PUNCT
easat-9249	375	14	2015	2015	NUM
easat-9249	375	15	.	.	PUNCT
easat-9249	376	1	[	[	X
easat-9249	376	2	21	21	NUM
easat-9249	376	3	]	]	X
easat-9249	376	4	l.	l.	PROPN
easat-9249	376	5	descamps	descamps	PROPN
easat-9249	376	6	,	,	PUNCT
easat-9249	376	7	d.	d.	PROPN
easat-9249	376	8	le	le	PROPN
easat-9249	376	9	roy	roy	PROPN
easat-9249	376	10	,	,	PUNCT
easat-9249	376	11	and	and	CCONJ
easat-9249	376	12	a.-l	a.-l	PROPN
easat-9249	376	13	.	.	PUNCT
easat-9249	377	1	deman	deman	NOUN
easat-9249	377	2	,	,	PUNCT
easat-9249	377	3	"	"	PUNCT
easat-9249	377	4	microfluidic	microfluidic	ADJ
easat-9249	377	5	-	-	PUNCT
easat-9249	377	6	based	base	VERB
easat-9249	377	7	technologies	technology	NOUN
easat-9249	377	8	for	for	ADP
easat-9249	377	9	ctc	ctc	NOUN
easat-9249	377	10	isolation	isolation	NOUN
easat-9249	377	11	:	:	PUNCT
easat-9249	377	12	a	a	DET
easat-9249	377	13	review	review	NOUN
easat-9249	377	14	of	of	ADP
easat-9249	377	15	10	10	NUM
easat-9249	377	16	years	year	NOUN
easat-9249	377	17	of	of	ADP
easat-9249	377	18	intense	intense	ADJ
easat-9249	377	19	efforts	effort	NOUN
easat-9249	377	20	towards	towards	ADP
easat-9249	377	21	liquid	liquid	ADJ
easat-9249	377	22	biopsy	biopsy	NOUN
easat-9249	377	23	,	,	PUNCT
easat-9249	377	24	"	"	PUNCT
easat-9249	377	25	international	international	ADJ
easat-9249	377	26	journal	journal	NOUN
easat-9249	377	27	of	of	ADP
easat-9249	377	28	molecular	molecular	ADJ
easat-9249	377	29	sciences	science	NOUN
easat-9249	377	30	,	,	PUNCT
easat-9249	377	31	vol	vol	NOUN
easat-9249	377	32	.	.	PROPN
easat-9249	377	33	23	23	NUM
easat-9249	377	34	,	,	PUNCT
easat-9249	377	35	no	no	INTJ
easat-9249	377	36	.	.	NOUN
easat-9249	377	37	4	4	NUM
easat-9249	377	38	,	,	PUNCT
easat-9249	377	39	p.	p.	NOUN
easat-9249	377	40	1981	1981	NUM
easat-9249	377	41	,	,	PUNCT
easat-9249	377	42	2022	2022	NUM
easat-9249	377	43	.	.	PUNCT
easat-9249	378	1	[	[	X
easat-9249	378	2	22	22	NUM
easat-9249	378	3	]	]	PUNCT
easat-9249	378	4	t.	t.	NOUN
easat-9249	378	5	m.	m.	NOUN
easat-9249	378	6	tladi	tladi	PROPN
easat-9249	378	7	,	,	PUNCT
easat-9249	378	8	j.	j.	PROPN
easat-9249	378	9	m.	m.	PROPN
easat-9249	378	10	ndambuki	ndambuki	PROPN
easat-9249	378	11	,	,	PUNCT
easat-9249	378	12	t.	t.	PROPN
easat-9249	378	13	o.	o.	PROPN
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easat-9249	378	17	s.	s.	PROPN
easat-9249	378	18	s.	s.	PROPN
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easat-9249	378	20	,	,	PUNCT
easat-9249	378	21	"	"	PUNCT
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easat-9249	378	23	level	level	NOUN
easat-9249	378	24	trend	trend	NOUN
easat-9249	378	25	analysis	analysis	NOUN
easat-9249	378	26	and	and	CCONJ
easat-9249	378	27	prediction	prediction	NOUN
easat-9249	378	28	in	in	ADP
easat-9249	378	29	the	the	DET
easat-9249	378	30	upper	upper	ADJ
easat-9249	378	31	crocodile	crocodile	NOUN
easat-9249	378	32	sub	sub	NOUN
easat-9249	378	33	-	-	NOUN
easat-9249	378	34	basin	basin	ADJ
easat-9249	378	35	,	,	PUNCT
easat-9249	378	36	south	south	PROPN
easat-9249	378	37	africa	africa	PROPN
easat-9249	378	38	,	,	PUNCT
easat-9249	378	39	"	"	PUNCT
easat-9249	378	40	water	water	NOUN
easat-9249	378	41	,	,	PUNCT
easat-9249	378	42	vol	vol	NOUN
easat-9249	378	43	.	.	PROPN
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easat-9249	379	2	,	,	PUNCT
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easat-9249	379	5	17	17	NUM
easat-9249	379	6	,	,	PUNCT
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easat-9249	379	9	,	,	PUNCT
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easat-9249	379	11	.	.	PUNCT
easat-9249	380	1	[	[	X
easat-9249	380	2	23	23	NUM
easat-9249	380	3	]	]	PUNCT
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easat-9249	380	5	t.	t.	PROPN
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easat-9249	380	7	,	,	PUNCT
easat-9249	380	8	a.	a.	NOUN
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easat-9249	380	10	,	,	PUNCT
easat-9249	380	11	and	and	CCONJ
easat-9249	380	12	n.	n.	PROPN
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easat-9249	380	14	,	,	PUNCT
easat-9249	380	15	"	"	PUNCT
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easat-9249	380	25	,	,	PUNCT
easat-9249	380	26	"	"	PUNCT
easat-9249	380	27	presented	present	VERB
easat-9249	380	28	at	at	ADP
easat-9249	380	29	the	the	DET
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easat-9249	380	31	conference	conference	NOUN
easat-9249	380	32	on	on	ADP
easat-9249	380	33	hybrid	hybrid	ADJ
easat-9249	380	34	intelligent	intelligent	ADJ
easat-9249	380	35	systems	system	NOUN
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easat-9249	380	37	pp	pp	ADJ
easat-9249	380	38	.	.	PUNCT
easat-9249	380	39	243	243	NUM
easat-9249	380	40	-	-	SYM
easat-9249	380	41	252	252	NUM
easat-9249	380	42	)	)	PUNCT
easat-9249	380	43	.	.	PUNCT
easat-9249	381	1	cham	cham	PROPN
easat-9249	381	2	:	:	PUNCT
easat-9249	381	3	springer	springer	NOUN
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easat-9249	381	5	publishing	publishing	NOUN
easat-9249	381	6	,	,	PUNCT
easat-9249	381	7	2021	2021	NUM
easat-9249	381	8	.	.	PUNCT
easat-9249	382	1	[	[	X
easat-9249	382	2	24	24	NUM
easat-9249	382	3	]	]	PUNCT
easat-9249	382	4	z.	z.	PROPN
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easat-9249	382	7	,	,	PUNCT
easat-9249	382	8	"	"	PUNCT
easat-9249	382	9	water	water	NOUN
easat-9249	382	10	scarcity	scarcity	NOUN
easat-9249	382	11	,	,	PUNCT
easat-9249	382	12	food	food	NOUN
easat-9249	382	13	production	production	NOUN
easat-9249	382	14	&	&	CCONJ
easat-9249	382	15	dietary	dietary	ADJ
easat-9249	382	16	choices	choice	NOUN
easat-9249	382	17	of	of	ADP
easat-9249	382	18	rural	rural	ADJ
easat-9249	382	19	populations	population	NOUN
easat-9249	382	20	in	in	ADP
easat-9249	382	21	limpopo	limpopo	PROPN
easat-9249	382	22	province	province	PROPN
easat-9249	382	23	:	:	PUNCT
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easat-9249	382	26	of	of	ADP
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easat-9249	382	30	,	,	PUNCT
easat-9249	382	31	"	"	PUNCT
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easat-9249	382	33	dissertation	dissertation	NOUN
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easat-9249	382	35	university	university	NOUN
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easat-9249	382	37	the	the	DET
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easat-9249	382	39	,	,	PUNCT
easat-9249	382	40	faculty	faculty	NOUN
easat-9249	382	41	of	of	ADP
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easat-9249	382	43	,	,	PUNCT
easat-9249	382	44	2018	2018	NUM
easat-9249	382	45	.	.	PUNCT
easat-9249	383	1	https://doi.org/10.3390/su14116624	https://doi.org/10.3390/su14116624	PROPN
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easat-9249	383	17	-	-	SYM
easat-9249	383	18	8484	8484	NUM
easat-9249	383	19	vol	vol	NOUN
easat-9249	383	20	.	.	PROPN
easat-9249	384	1	9	9	NUM
easat-9249	384	2	,	,	PUNCT
easat-9249	384	3	no	no	INTJ
easat-9249	384	4	.	.	NOUN
easat-9249	384	5	8	8	NUM
easat-9249	384	6	:	:	SYM
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easat-9249	384	8	-	-	SYM
easat-9249	384	9	178	178	NUM
easat-9249	384	10	,	,	PUNCT
easat-9249	384	11	2025	2025	NUM
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easat-9249	384	15	-	-	SYM
easat-9249	384	16	8484.v9i8.9249	8484.v9i8.9249	NUM
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easat-9249	384	20	the	the	DET
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easat-9249	384	25	gate	gate	NOUN
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easat-9249	385	2	25	25	NUM
easat-9249	385	3	]	]	PUNCT
easat-9249	385	4	s.	s.	PROPN
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easat-9249	385	6	,	,	PUNCT
easat-9249	385	7	m.	m.	NOUN
easat-9249	385	8	savage	savage	NOUN
easat-9249	385	9	,	,	PUNCT
easat-9249	385	10	and	and	CCONJ
easat-9249	385	11	a.	a.	NOUN
easat-9249	385	12	clulow	clulow	PROPN
easat-9249	385	13	,	,	PUNCT
easat-9249	385	14	"	"	PUNCT
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easat-9249	385	16	-	-	PUNCT
easat-9249	385	17	term	term	NOUN
easat-9249	385	18	trends	trend	NOUN
easat-9249	385	19	and	and	CCONJ
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easat-9249	385	21	in	in	ADP
easat-9249	385	22	the	the	DET
easat-9249	385	23	dryland	dryland	NOUN
easat-9249	385	24	microclimate	microclimate	NOUN
easat-9249	385	25	of	of	ADP
easat-9249	385	26	the	the	DET
easat-9249	385	27	northern	northern	ADJ
easat-9249	385	28	cape	cape	PROPN
easat-9249	385	29	province	province	NOUN
easat-9249	385	30	,	,	PUNCT
easat-9249	385	31	south	south	PROPN
easat-9249	385	32	africa	africa	PROPN
easat-9249	385	33	,	,	PUNCT
easat-9249	385	34	"	"	PUNCT
easat-9249	385	35	theoretical	theoretical	ADJ
easat-9249	385	36	and	and	CCONJ
easat-9249	385	37	applied	apply	VERB
easat-9249	385	38	climatology	climatology	NOUN
easat-9249	385	39	,	,	PUNCT
easat-9249	385	40	vol	vol	NOUN
easat-9249	385	41	.	.	PROPN
easat-9249	385	42	137	137	NUM
easat-9249	385	43	,	,	PUNCT
easat-9249	385	44	no	no	INTJ
easat-9249	385	45	.	.	NOUN
easat-9249	385	46	1	1	NUM
easat-9249	385	47	,	,	PUNCT
easat-9249	385	48	pp	pp	ADJ
easat-9249	385	49	.	.	PUNCT
easat-9249	386	1	963	963	NUM
easat-9249	386	2	-	-	SYM
easat-9249	386	3	975	975	NUM
easat-9249	386	4	,	,	PUNCT
easat-9249	386	5	2019	2019	NUM
easat-9249	386	6	.	.	PUNCT
easat-9249	387	1	[	[	X
easat-9249	387	2	26	26	NUM
easat-9249	387	3	]	]	PUNCT
easat-9249	387	4	s.	s.	PROPN
easat-9249	387	5	j.	j.	PROPN
easat-9249	387	6	roffe	roffe	PROPN
easat-9249	387	7	,	,	PUNCT
easat-9249	387	8	j.	j.	PROPN
easat-9249	387	9	m.	m.	PROPN
easat-9249	387	10	fitchett	fitchett	PROPN
easat-9249	387	11	,	,	PUNCT
easat-9249	387	12	and	and	CCONJ
easat-9249	387	13	c.	c.	PROPN
easat-9249	387	14	j.	j.	PROPN
easat-9249	387	15	curtis	curtis	PROPN
easat-9249	387	16	,	,	PUNCT
easat-9249	387	17	"	"	PUNCT
easat-9249	387	18	investigating	investigate	VERB
easat-9249	387	19	changes	change	NOUN
easat-9249	387	20	in	in	ADP
easat-9249	387	21	rainfall	rainfall	NOUN
easat-9249	387	22	seasonality	seasonality	NOUN
easat-9249	387	23	across	across	ADP
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easat-9249	387	25	africa	africa	PROPN
easat-9249	387	26	:	:	PUNCT
easat-9249	387	27	1987	1987	NUM
easat-9249	387	28	–	–	PUNCT
easat-9249	387	29	2016	2016	NUM
easat-9249	387	30	,	,	PUNCT
easat-9249	387	31	"	"	PUNCT
easat-9249	387	32	international	international	ADJ
easat-9249	387	33	journal	journal	NOUN
easat-9249	387	34	of	of	ADP
easat-9249	387	35	climatology	climatology	NOUN
easat-9249	387	36	,	,	PUNCT
easat-9249	387	37	vol	vol	NOUN
easat-9249	387	38	.	.	PROPN
easat-9249	387	39	41	41	NUM
easat-9249	387	40	,	,	PUNCT
easat-9249	387	41	pp	pp	ADJ
easat-9249	387	42	.	.	PUNCT
easat-9249	388	1	e2031	e2031	NOUN
easat-9249	388	2	-	-	PUNCT
easat-9249	388	3	e2050	e2050	PROPN
easat-9249	388	4	,	,	PUNCT
easat-9249	388	5	2021	2021	NUM
easat-9249	388	6	.	.	PUNCT
easat-9249	389	1	https://doi.org/10.1002/joc.6856	https://doi.org/10.1002/joc.6856	PROPN
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