id	sid	tid	token	lemma	pos
ajase-5500	1	1	pa	pa	PROPN
ajase-5500	1	2	ge	ge	PROPN
ajase-5500	1	3	1	1	NUM
ajase-5500	1	4	pa	pa	PROPN
ajase-5500	1	5	ge	ge	PROPN
ajase-5500	1	6	70	70	NUM
ajase-5500	1	7	american	american	PROPN
ajase-5500	1	8	journal	journal	PROPN
ajase-5500	1	9	of	of	ADP
ajase-5500	1	10	applied	apply	VERB
ajase-5500	1	11	statistics	statistic	NOUN
ajase-5500	1	12	and	and	CCONJ
ajase-5500	1	13	economics	economic	NOUN
ajase-5500	1	14	(	(	PUNCT
ajase-5500	1	15	ajase	ajase	ADJ
ajase-5500	1	16	)	)	PUNCT
ajase-5500	1	17	sparse	sparse	ADJ
ajase-5500	1	18	dynamic	dynamic	ADJ
ajase-5500	1	19	factor	factor	NOUN
ajase-5500	1	20	modeling	modeling	NOUN
ajase-5500	1	21	of	of	ADP
ajase-5500	1	22	some	some	DET
ajase-5500	1	23	selected	select	VERB
ajase-5500	1	24	climatic	climatic	ADJ
ajase-5500	1	25	variables	variable	NOUN
ajase-5500	1	26	daramola	daramola	PROPN
ajase-5500	1	27	azeez	azeez	PROPN
ajase-5500	1	28	mustapha1	mustapha1	PROPN
ajase-5500	1	29	*	*	PROPN
ajase-5500	1	30	,	,	PUNCT
ajase-5500	1	31	samuel	samuel	PROPN
ajase-5500	1	32	olorunfemi	olorunfemi	VERB
ajase-5500	1	33	adams2	adams2	PROPN
ajase-5500	1	34	,	,	PUNCT
ajase-5500	1	35	mary	mary	PROPN
ajase-5500	1	36	unekwu	unekwu	PROPN
ajase-5500	1	37	adehi2	adehi2	PROPN
ajase-5500	1	38	volume	volume	NOUN
ajase-5500	1	39	4	4	NUM
ajase-5500	1	40	issue	issue	NOUN
ajase-5500	1	41	1	1	NUM
ajase-5500	1	42	,	,	PUNCT
ajase-5500	1	43	year	year	NOUN
ajase-5500	1	44	2025	2025	NUM
ajase-5500	1	45	issn	issn	NOUN
ajase-5500	1	46	:	:	PUNCT
ajase-5500	1	47	2992	2992	NUM
ajase-5500	1	48	-	-	PUNCT
ajase-5500	1	49	927x	927x	NOUN
ajase-5500	1	50	(	(	PUNCT
ajase-5500	1	51	online	online	ADJ
ajase-5500	1	52	)	)	PUNCT
ajase-5500	1	53	doi	doi	NOUN
ajase-5500	1	54	:	:	PUNCT
ajase-5500	1	55	https://doi.org/10.54536/ajase.v4i1.5500	https://doi.org/10.54536/ajase.v4i1.5500	PROPN
ajase-5500	1	56	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	1	57	article	article	NOUN
ajase-5500	1	58	information	information	NOUN
ajase-5500	1	59	abstract	abstract	ADV
ajase-5500	1	60	received	receive	VERB
ajase-5500	1	61	:	:	PUNCT
ajase-5500	1	62	june	june	PROPN
ajase-5500	1	63	06	06	NUM
ajase-5500	1	64	,	,	PUNCT
ajase-5500	1	65	2025	2025	NUM
ajase-5500	1	66	accepted	accept	VERB
ajase-5500	1	67	:	:	PUNCT
ajase-5500	1	68	july	july	PROPN
ajase-5500	1	69	07	07	NUM
ajase-5500	1	70	,	,	PUNCT
ajase-5500	1	71	2025	2025	NUM
ajase-5500	1	72	published	publish	VERB
ajase-5500	1	73	:	:	PUNCT
ajase-5500	1	74	july	july	PROPN
ajase-5500	1	75	30	30	NUM
ajase-5500	1	76	,	,	PUNCT
ajase-5500	1	77	2025	2025	NUM
ajase-5500	1	78	the	the	DET
ajase-5500	1	79	classical	classical	ADJ
ajase-5500	1	80	forecasting	forecasting	NOUN
ajase-5500	1	81	models	model	NOUN
ajase-5500	1	82	struggle	struggle	VERB
ajase-5500	1	83	to	to	PART
ajase-5500	1	84	handle	handle	VERB
ajase-5500	1	85	missing	miss	VERB
ajase-5500	1	86	data	datum	NOUN
ajase-5500	1	87	,	,	PUNCT
ajase-5500	1	88	a	a	DET
ajase-5500	1	89	common	common	ADJ
ajase-5500	1	90	issue	issue	NOUN
ajase-5500	1	91	in	in	ADP
ajase-5500	1	92	climate	climate	NOUN
ajase-5500	1	93	data	datum	NOUN
ajase-5500	1	94	,	,	PUNCT
ajase-5500	1	95	due	due	ADP
ajase-5500	1	96	to	to	ADP
ajase-5500	1	97	irregular	irregular	ADJ
ajase-5500	1	98	reporting	reporting	NOUN
ajase-5500	1	99	intervals	interval	NOUN
ajase-5500	1	100	or	or	CCONJ
ajase-5500	1	101	sensor	sensor	NOUN
ajase-5500	1	102	failures	failure	NOUN
ajase-5500	1	103	.	.	PUNCT
ajase-5500	2	1	incomplete	incomplete	ADJ
ajase-5500	2	2	datasets	dataset	NOUN
ajase-5500	2	3	can	can	AUX
ajase-5500	2	4	lead	lead	VERB
ajase-5500	2	5	to	to	ADP
ajase-5500	2	6	biased	biased	ADJ
ajase-5500	2	7	or	or	CCONJ
ajase-5500	2	8	unreliable	unreliable	ADJ
ajase-5500	2	9	forecasts	forecast	NOUN
ajase-5500	2	10	,	,	PUNCT
ajase-5500	2	11	further	far	ADV
ajase-5500	2	12	complicating	complicate	VERB
ajase-5500	2	13	efforts	effort	NOUN
ajase-5500	2	14	to	to	PART
ajase-5500	2	15	predict	predict	VERB
ajase-5500	2	16	climatic	climatic	ADJ
ajase-5500	2	17	variables	variable	NOUN
ajase-5500	2	18	accurately	accurately	ADV
ajase-5500	2	19	.	.	PUNCT
ajase-5500	3	1	this	this	DET
ajase-5500	3	2	study	study	NOUN
ajase-5500	3	3	aims	aim	VERB
ajase-5500	3	4	to	to	PART
ajase-5500	3	5	examine	examine	VERB
ajase-5500	3	6	the	the	DET
ajase-5500	3	7	performance	performance	NOUN
ajase-5500	3	8	of	of	ADP
ajase-5500	3	9	the	the	DET
ajase-5500	3	10	sparse	sparse	ADJ
ajase-5500	3	11	dynamic	dynamic	ADJ
ajase-5500	3	12	factor	factor	NOUN
ajase-5500	3	13	models	model	NOUN
ajase-5500	3	14	on	on	ADP
ajase-5500	3	15	climate	climate	NOUN
ajase-5500	3	16	data	datum	NOUN
ajase-5500	3	17	.	.	PUNCT
ajase-5500	4	1	its	its	PRON
ajase-5500	4	2	performance	performance	NOUN
ajase-5500	4	3	is	be	AUX
ajase-5500	4	4	compared	compare	VERB
ajase-5500	4	5	with	with	ADP
ajase-5500	4	6	classical	classical	ADJ
ajase-5500	4	7	models	model	NOUN
ajase-5500	4	8	,	,	PUNCT
ajase-5500	4	9	such	such	ADJ
ajase-5500	4	10	as	as	ADP
ajase-5500	4	11	arima	arima	NOUN
ajase-5500	4	12	,	,	PUNCT
ajase-5500	4	13	pca	pca	PROPN
ajase-5500	4	14	,	,	PUNCT
ajase-5500	4	15	two	two	NUM
ajase-5500	4	16	-	-	PUNCT
ajase-5500	4	17	stage	stage	NOUN
ajase-5500	4	18	dfm	dfm	NOUN
ajase-5500	4	19	,	,	PUNCT
ajase-5500	4	20	em	em	NOUN
ajase-5500	4	21	-	-	PUNCT
ajase-5500	4	22	based	base	VERB
ajase-5500	4	23	dfm	dfm	NOUN
ajase-5500	4	24	,	,	PUNCT
ajase-5500	4	25	sparse	sparse	ADJ
ajase-5500	4	26	dfm	dfm	NOUN
ajase-5500	4	27	,	,	PUNCT
ajase-5500	4	28	lasso	lasso	NOUN
ajase-5500	4	29	,	,	PUNCT
ajase-5500	4	30	and	and	CCONJ
ajase-5500	4	31	group	group	NOUN
ajase-5500	4	32	lasso	lasso	NOUN
ajase-5500	4	33	.	.	PUNCT
ajase-5500	5	1	the	the	DET
ajase-5500	5	2	study	study	NOUN
ajase-5500	5	3	integrates	integrate	VERB
ajase-5500	5	4	a	a	DET
ajase-5500	5	5	traditional	traditional	ADJ
ajase-5500	5	6	statistical	statistical	ADJ
ajase-5500	5	7	approach	approach	NOUN
ajase-5500	5	8	with	with	ADP
ajase-5500	5	9	penalized	penalize	VERB
ajase-5500	5	10	likelihood	likelihood	NOUN
ajase-5500	5	11	optimization	optimization	NOUN
ajase-5500	5	12	,	,	PUNCT
ajase-5500	5	13	ensuring	ensure	VERB
ajase-5500	5	14	the	the	DET
ajase-5500	5	15	inclusion	inclusion	NOUN
ajase-5500	5	16	of	of	ADP
ajase-5500	5	17	sparse	sparse	ADJ
ajase-5500	5	18	,	,	PUNCT
ajase-5500	5	19	interpretable	interpretable	ADJ
ajase-5500	5	20	models	model	NOUN
ajase-5500	5	21	.	.	PUNCT
ajase-5500	6	1	the	the	DET
ajase-5500	6	2	dataset	dataset	NOUN
ajase-5500	6	3	employed	employ	VERB
ajase-5500	6	4	in	in	ADP
ajase-5500	6	5	this	this	DET
ajase-5500	6	6	study	study	NOUN
ajase-5500	6	7	was	be	AUX
ajase-5500	6	8	extracted	extract	VERB
ajase-5500	6	9	from	from	ADP
ajase-5500	6	10	the	the	DET
ajase-5500	6	11	nigerian	nigerian	ADJ
ajase-5500	6	12	meteorological	meteorological	ADJ
ajase-5500	6	13	agency	agency	NOUN
ajase-5500	6	14	(	(	PUNCT
ajase-5500	6	15	nimet	nimet	ADJ
ajase-5500	6	16	)	)	PUNCT
ajase-5500	6	17	and	and	CCONJ
ajase-5500	6	18	the	the	DET
ajase-5500	6	19	national	national	PROPN
ajase-5500	6	20	bureau	bureau	PROPN
ajase-5500	6	21	of	of	ADP
ajase-5500	6	22	statistics	statistic	NOUN
ajase-5500	6	23	(	(	PUNCT
ajase-5500	6	24	nbs	nbs	NOUN
ajase-5500	6	25	)	)	PUNCT
ajase-5500	6	26	statistical	statistical	ADJ
ajase-5500	6	27	bulletin	bulletin	NOUN
ajase-5500	6	28	2023	2023	NUM
ajase-5500	6	29	.	.	PUNCT
ajase-5500	7	1	the	the	DET
ajase-5500	7	2	data	datum	NOUN
ajase-5500	7	3	includes	include	VERB
ajase-5500	7	4	annual	annual	ADJ
ajase-5500	7	5	average	average	ADJ
ajase-5500	7	6	mean	mean	NOUN
ajase-5500	7	7	surface	surface	NOUN
ajase-5500	7	8	air	air	NOUN
ajase-5500	7	9	temperature	temperature	NOUN
ajase-5500	7	10	,	,	PUNCT
ajase-5500	7	11	annual	annual	ADJ
ajase-5500	7	12	precipitation	precipitation	NOUN
ajase-5500	7	13	,	,	PUNCT
ajase-5500	7	14	number	number	NOUN
ajase-5500	7	15	of	of	ADP
ajase-5500	7	16	days	day	NOUN
ajase-5500	7	17	with	with	ADP
ajase-5500	7	18	heat	heat	NOUN
ajase-5500	7	19	index	index	NOUN
ajase-5500	7	20	>	>	X
ajase-5500	7	21	35	35	NUM
ajase-5500	7	22	°	°	SYM
ajase-5500	7	23	c	c	NOUN
ajase-5500	7	24	,	,	PUNCT
ajase-5500	7	25	and	and	CCONJ
ajase-5500	7	26	maximum	maximum	ADJ
ajase-5500	7	27	number	number	NOUN
ajase-5500	7	28	of	of	ADP
ajase-5500	7	29	consecutive	consecutive	ADJ
ajase-5500	7	30	wet	wet	ADJ
ajase-5500	7	31	days	day	NOUN
ajase-5500	7	32	.	.	PUNCT
ajase-5500	8	1	the	the	DET
ajase-5500	8	2	findings	finding	NOUN
ajase-5500	8	3	of	of	ADP
ajase-5500	8	4	the	the	DET
ajase-5500	8	5	study	study	NOUN
ajase-5500	8	6	revealed	reveal	VERB
ajase-5500	8	7	that	that	SCONJ
ajase-5500	8	8	group	group	NOUN
ajase-5500	8	9	lasso	lasso	NOUN
ajase-5500	8	10	consistently	consistently	ADV
ajase-5500	8	11	yielded	yield	VERB
ajase-5500	8	12	the	the	DET
ajase-5500	8	13	lowest	low	ADJ
ajase-5500	8	14	mse	mse	NOUN
ajase-5500	8	15	across	across	ADP
ajase-5500	8	16	key	key	ADJ
ajase-5500	8	17	variables	variable	NOUN
ajase-5500	8	18	,	,	PUNCT
ajase-5500	8	19	air	air	NOUN
ajase-5500	8	20	temperature	temperature	NOUN
ajase-5500	8	21	(	(	PUNCT
ajase-5500	8	22	mse	mse	NOUN
ajase-5500	8	23	=	=	SYM
ajase-5500	8	24	0.3854	0.3854	NUM
ajase-5500	8	25	)	)	PUNCT
ajase-5500	8	26	,	,	PUNCT
ajase-5500	8	27	precipitation	precipitation	NOUN
ajase-5500	8	28	(	(	PUNCT
ajase-5500	8	29	921.27	921.27	NUM
ajase-5500	8	30	)	)	PUNCT
ajase-5500	8	31	,	,	PUNCT
ajase-5500	8	32	heat	heat	NOUN
ajase-5500	8	33	days	day	NOUN
ajase-5500	8	34	(	(	PUNCT
ajase-5500	8	35	296.85	296.85	NUM
ajase-5500	8	36	)	)	PUNCT
ajase-5500	8	37	,	,	PUNCT
ajase-5500	8	38	and	and	CCONJ
ajase-5500	8	39	wet	wet	ADJ
ajase-5500	8	40	days	day	NOUN
ajase-5500	8	41	(	(	PUNCT
ajase-5500	8	42	748.90	748.90	NUM
ajase-5500	8	43	)	)	PUNCT
ajase-5500	8	44	outperforming	outperform	VERB
ajase-5500	8	45	all	all	DET
ajase-5500	8	46	benchmark	benchmark	NOUN
ajase-5500	8	47	models	model	NOUN
ajase-5500	8	48	.	.	PUNCT
ajase-5500	9	1	results	result	NOUN
ajase-5500	9	2	also	also	ADV
ajase-5500	9	3	showed	show	VERB
ajase-5500	9	4	that	that	SCONJ
ajase-5500	9	5	,	,	PUNCT
ajase-5500	9	6	arima	arima	PROPN
ajase-5500	9	7	,	,	PUNCT
ajase-5500	9	8	pca	pca	PROPN
ajase-5500	9	9	,	,	PUNCT
ajase-5500	9	10	and	and	CCONJ
ajase-5500	9	11	two	two	NUM
ajase-5500	9	12	-	-	PUNCT
ajase-5500	9	13	stage	stage	NOUN
ajase-5500	9	14	dfm	dfm	NOUN
ajase-5500	9	15	recorded	record	VERB
ajase-5500	9	16	substantially	substantially	ADV
ajase-5500	9	17	higher	high	ADJ
ajase-5500	9	18	errors	error	NOUN
ajase-5500	9	19	,	,	PUNCT
ajase-5500	9	20	highlighting	highlight	VERB
ajase-5500	9	21	their	their	PRON
ajase-5500	9	22	inability	inability	NOUN
ajase-5500	9	23	to	to	PART
ajase-5500	9	24	capture	capture	VERB
ajase-5500	9	25	intricate	intricate	ADJ
ajase-5500	9	26	,	,	PUNCT
ajase-5500	9	27	nonlinear	nonlinear	ADJ
ajase-5500	9	28	dependencies	dependency	NOUN
ajase-5500	9	29	present	present	ADJ
ajase-5500	9	30	in	in	ADP
ajase-5500	9	31	climate	climate	NOUN
ajase-5500	9	32	processes	process	NOUN
ajase-5500	9	33	.	.	PUNCT
ajase-5500	10	1	keywords	keyword	VERB
ajase-5500	10	2	annual	annual	ADJ
ajase-5500	10	3	average	average	ADJ
ajase-5500	10	4	surface	surface	NOUN
ajase-5500	10	5	air	air	NOUN
ajase-5500	10	6	temperature	temperature	NOUN
ajase-5500	10	7	,	,	PUNCT
ajase-5500	10	8	annual	annual	ADJ
ajase-5500	10	9	precipitation	precipitation	NOUN
ajase-5500	10	10	,	,	PUNCT
ajase-5500	10	11	maximum	maximum	ADJ
ajase-5500	10	12	number	number	NOUN
ajase-5500	10	13	of	of	ADP
ajase-5500	10	14	consecutive	consecutive	ADJ
ajase-5500	10	15	wet	wet	ADJ
ajase-5500	10	16	days	day	NOUN
ajase-5500	10	17	,	,	PUNCT
ajase-5500	10	18	number	number	NOUN
ajase-5500	10	19	of	of	ADP
ajase-5500	10	20	days	day	NOUN
ajase-5500	10	21	with	with	ADP
ajase-5500	10	22	heat	heat	NOUN
ajase-5500	10	23	index	index	NOUN
ajase-5500	10	24	>	>	X
ajase-5500	10	25	35	35	NUM
ajase-5500	10	26	°	°	PROPN
ajase-5500	10	27	c	c	NOUN
ajase-5500	10	28	1	1	NUM
ajase-5500	10	29	department	department	NOUN
ajase-5500	10	30	of	of	ADP
ajase-5500	10	31	statistics	statistic	NOUN
ajase-5500	10	32	,	,	PUNCT
ajase-5500	10	33	university	university	NOUN
ajase-5500	10	34	of	of	ADP
ajase-5500	10	35	abuja	abuja	PROPN
ajase-5500	10	36	,	,	PUNCT
ajase-5500	10	37	&	&	CCONJ
ajase-5500	10	38	department	department	PROPN
ajase-5500	10	39	of	of	ADP
ajase-5500	10	40	international	international	ADJ
ajase-5500	10	41	statistical	statistical	ADJ
ajase-5500	10	42	development	development	NOUN
ajase-5500	10	43	,	,	PUNCT
ajase-5500	10	44	national	national	ADJ
ajase-5500	10	45	bureau	bureau	PROPN
ajase-5500	10	46	of	of	ADP
ajase-5500	10	47	statistics	statistics	PROPN
ajase-5500	10	48	,	,	PUNCT
ajase-5500	10	49	abuja	abuja	PROPN
ajase-5500	10	50	,	,	PUNCT
ajase-5500	10	51	nigeria	nigeria	PROPN
ajase-5500	10	52	2	2	NUM
ajase-5500	10	53	department	department	NOUN
ajase-5500	10	54	of	of	ADP
ajase-5500	10	55	international	international	ADJ
ajase-5500	10	56	statistical	statistical	ADJ
ajase-5500	10	57	development	development	NOUN
ajase-5500	10	58	,	,	PUNCT
ajase-5500	10	59	national	national	ADJ
ajase-5500	10	60	bureau	bureau	PROPN
ajase-5500	10	61	of	of	ADP
ajase-5500	10	62	statistics	statistics	PROPN
ajase-5500	10	63	,	,	PUNCT
ajase-5500	10	64	abuja	abuja	PROPN
ajase-5500	10	65	,	,	PUNCT
ajase-5500	10	66	nigeria	nigeria	PROPN
ajase-5500	10	67	*	*	PUNCT
ajase-5500	10	68	corresponding	correspond	VERB
ajase-5500	10	69	author	author	NOUN
ajase-5500	10	70	’s	’s	PART
ajase-5500	10	71	e	e	NOUN
ajase-5500	10	72	-	-	NOUN
ajase-5500	10	73	mail	mail	NOUN
ajase-5500	10	74	:	:	PUNCT
ajase-5500	10	75	samuel.adams@uniabuja.edu.ng	samuel.adams@uniabuja.edu.ng	ADJ
ajase-5500	10	76	introduction	introduction	NOUN
ajase-5500	10	77	climate	climate	NOUN
ajase-5500	10	78	change	change	NOUN
ajase-5500	10	79	and	and	CCONJ
ajase-5500	10	80	its	its	PRON
ajase-5500	10	81	associated	associated	ADJ
ajase-5500	10	82	extreme	extreme	ADJ
ajase-5500	10	83	weather	weather	NOUN
ajase-5500	10	84	events	event	NOUN
ajase-5500	10	85	have	have	AUX
ajase-5500	10	86	heightened	heighten	VERB
ajase-5500	10	87	the	the	DET
ajase-5500	10	88	need	need	NOUN
ajase-5500	10	89	for	for	ADP
ajase-5500	10	90	accurate	accurate	ADJ
ajase-5500	10	91	forecasting	forecasting	NOUN
ajase-5500	10	92	of	of	ADP
ajase-5500	10	93	climatic	climatic	ADJ
ajase-5500	10	94	variables	variable	NOUN
ajase-5500	10	95	,	,	PUNCT
ajase-5500	10	96	including	include	VERB
ajase-5500	10	97	temperature	temperature	NOUN
ajase-5500	10	98	,	,	PUNCT
ajase-5500	10	99	precipitation	precipitation	NOUN
ajase-5500	10	100	,	,	PUNCT
ajase-5500	10	101	wind	wind	NOUN
ajase-5500	10	102	speed	speed	NOUN
ajase-5500	10	103	,	,	PUNCT
ajase-5500	10	104	and	and	CCONJ
ajase-5500	10	105	solar	solar	ADJ
ajase-5500	10	106	radiation	radiation	NOUN
ajase-5500	10	107	.	.	PUNCT
ajase-5500	11	1	these	these	DET
ajase-5500	11	2	forecasts	forecast	NOUN
ajase-5500	11	3	are	be	AUX
ajase-5500	11	4	crucial	crucial	ADJ
ajase-5500	11	5	across	across	ADP
ajase-5500	11	6	sectors	sector	NOUN
ajase-5500	11	7	like	like	ADP
ajase-5500	11	8	agriculture	agriculture	NOUN
ajase-5500	11	9	,	,	PUNCT
ajase-5500	11	10	water	water	NOUN
ajase-5500	11	11	management	management	NOUN
ajase-5500	11	12	,	,	PUNCT
ajase-5500	11	13	disaster	disaster	NOUN
ajase-5500	11	14	prevention	prevention	NOUN
ajase-5500	11	15	,	,	PUNCT
ajase-5500	11	16	and	and	CCONJ
ajase-5500	11	17	energy	energy	NOUN
ajase-5500	11	18	production	production	NOUN
ajase-5500	11	19	(	(	PUNCT
ajase-5500	11	20	slater	slater	NOUN
ajase-5500	11	21	,	,	PUNCT
ajase-5500	11	22	2023	2023	NUM
ajase-5500	11	23	;	;	PUNCT
ajase-5500	11	24	park	park	NOUN
ajase-5500	11	25	,	,	PUNCT
ajase-5500	11	26	2023	2023	NUM
ajase-5500	11	27	)	)	PUNCT
ajase-5500	11	28	.	.	PUNCT
ajase-5500	12	1	forecasting	forecast	VERB
ajase-5500	12	2	weather	weather	NOUN
ajase-5500	12	3	patterns	pattern	NOUN
ajase-5500	12	4	and	and	CCONJ
ajase-5500	12	5	climatic	climatic	ADJ
ajase-5500	12	6	trends	trend	NOUN
ajase-5500	12	7	,	,	PUNCT
ajase-5500	12	8	however	however	ADV
ajase-5500	12	9	,	,	PUNCT
ajase-5500	12	10	is	be	AUX
ajase-5500	12	11	a	a	DET
ajase-5500	12	12	complex	complex	ADJ
ajase-5500	12	13	task	task	NOUN
ajase-5500	12	14	because	because	SCONJ
ajase-5500	12	15	climate	climate	NOUN
ajase-5500	12	16	systems	system	NOUN
ajase-5500	12	17	are	be	AUX
ajase-5500	12	18	inherently	inherently	ADV
ajase-5500	12	19	nonlinear	nonlinear	ADJ
ajase-5500	12	20	and	and	CCONJ
ajase-5500	12	21	affected	affect	VERB
ajase-5500	12	22	by	by	ADP
ajase-5500	12	23	various	various	ADJ
ajase-5500	12	24	interdependent	interdependent	ADJ
ajase-5500	12	25	factors	factor	NOUN
ajase-5500	12	26	(	(	PUNCT
ajase-5500	12	27	boyd	boyd	PROPN
ajase-5500	12	28	,	,	PUNCT
ajase-5500	12	29	2011	2011	NUM
ajase-5500	12	30	;	;	PUNCT
ajase-5500	12	31	huang	huang	PROPN
ajase-5500	12	32	,	,	PUNCT
ajase-5500	12	33	2021	2021	NUM
ajase-5500	12	34	)	)	PUNCT
ajase-5500	12	35	.	.	PUNCT
ajase-5500	13	1	historically	historically	ADV
ajase-5500	13	2	,	,	PUNCT
ajase-5500	13	3	climate	climate	NOUN
ajase-5500	13	4	forecasting	forecasting	NOUN
ajase-5500	13	5	has	have	AUX
ajase-5500	13	6	relied	rely	VERB
ajase-5500	13	7	heavily	heavily	ADV
ajase-5500	13	8	on	on	ADP
ajase-5500	13	9	time	time	NOUN
ajase-5500	13	10	series	series	NOUN
ajase-5500	13	11	models	model	NOUN
ajase-5500	13	12	such	such	ADJ
ajase-5500	13	13	as	as	ADP
ajase-5500	13	14	the	the	DET
ajase-5500	13	15	autoregressive	autoregressive	ADJ
ajase-5500	13	16	integrated	integrated	ADJ
ajase-5500	13	17	moving	move	VERB
ajase-5500	13	18	average	average	NOUN
ajase-5500	13	19	(	(	PUNCT
ajase-5500	13	20	arima	arima	PROPN
ajase-5500	13	21	)	)	PUNCT
ajase-5500	13	22	,	,	PUNCT
ajase-5500	13	23	which	which	PRON
ajase-5500	13	24	focuses	focus	VERB
ajase-5500	13	25	on	on	ADP
ajase-5500	13	26	linear	linear	ADJ
ajase-5500	13	27	relationships	relationship	NOUN
ajase-5500	13	28	within	within	ADP
ajase-5500	13	29	climatic	climatic	ADJ
ajase-5500	13	30	data	datum	NOUN
ajase-5500	13	31	.	.	PUNCT
ajase-5500	14	1	while	while	SCONJ
ajase-5500	14	2	arima	arima	PROPN
ajase-5500	14	3	and	and	CCONJ
ajase-5500	14	4	its	its	PRON
ajase-5500	14	5	variations	variation	NOUN
ajase-5500	14	6	have	have	AUX
ajase-5500	14	7	been	be	AUX
ajase-5500	14	8	effective	effective	ADJ
ajase-5500	14	9	for	for	ADP
ajase-5500	14	10	many	many	ADJ
ajase-5500	14	11	forecasting	forecasting	NOUN
ajase-5500	14	12	tasks	task	NOUN
ajase-5500	14	13	,	,	PUNCT
ajase-5500	14	14	they	they	PRON
ajase-5500	14	15	are	be	AUX
ajase-5500	14	16	often	often	ADV
ajase-5500	14	17	insufficient	insufficient	ADJ
ajase-5500	14	18	for	for	ADP
ajase-5500	14	19	the	the	DET
ajase-5500	14	20	highly	highly	ADV
ajase-5500	14	21	nonlinear	nonlinear	ADJ
ajase-5500	14	22	and	and	CCONJ
ajase-5500	14	23	complex	complex	ADJ
ajase-5500	14	24	nature	nature	NOUN
ajase-5500	14	25	of	of	ADP
ajase-5500	14	26	climate	climate	NOUN
ajase-5500	14	27	data	datum	NOUN
ajase-5500	14	28	,	,	PUNCT
ajase-5500	14	29	especially	especially	ADV
ajase-5500	14	30	for	for	ADP
ajase-5500	14	31	long	long	ADJ
ajase-5500	14	32	-	-	PUNCT
ajase-5500	14	33	term	term	NOUN
ajase-5500	14	34	predictions	prediction	NOUN
ajase-5500	14	35	(	(	PUNCT
ajase-5500	14	36	diebold	diebold	NOUN
ajase-5500	14	37	-	-	PUNCT
ajase-5500	14	38	mariano	mariano	PROPN
ajase-5500	14	39	,	,	PUNCT
ajase-5500	14	40	2002	2002	NUM
ajase-5500	14	41	)	)	PUNCT
ajase-5500	14	42	.	.	PUNCT
ajase-5500	15	1	more	more	ADV
ajase-5500	15	2	sophisticated	sophisticated	ADJ
ajase-5500	15	3	techniques	technique	NOUN
ajase-5500	15	4	,	,	PUNCT
ajase-5500	15	5	such	such	ADJ
ajase-5500	15	6	as	as	ADP
ajase-5500	15	7	generalized	generalized	ADJ
ajase-5500	15	8	autoregressive	autoregressive	ADJ
ajase-5500	15	9	conditional	conditional	ADJ
ajase-5500	15	10	heteroskedasticity	heteroskedasticity	NOUN
ajase-5500	15	11	(	(	PUNCT
ajase-5500	15	12	garch	garch	NOUN
ajase-5500	15	13	)	)	PUNCT
ajase-5500	15	14	models	model	NOUN
ajase-5500	15	15	,	,	PUNCT
ajase-5500	15	16	have	have	AUX
ajase-5500	15	17	been	be	AUX
ajase-5500	15	18	employed	employ	VERB
ajase-5500	15	19	to	to	PART
ajase-5500	15	20	capture	capture	VERB
ajase-5500	15	21	time	time	NOUN
ajase-5500	15	22	-	-	PUNCT
ajase-5500	15	23	varying	vary	VERB
ajase-5500	15	24	volatility	volatility	NOUN
ajase-5500	15	25	in	in	ADP
ajase-5500	15	26	climatic	climatic	ADJ
ajase-5500	15	27	variables	variable	NOUN
ajase-5500	15	28	,	,	PUNCT
ajase-5500	15	29	yet	yet	CCONJ
ajase-5500	15	30	they	they	PRON
ajase-5500	15	31	too	too	ADV
ajase-5500	15	32	have	have	VERB
ajase-5500	15	33	limitations	limitation	NOUN
ajase-5500	15	34	(	(	PUNCT
ajase-5500	15	35	modarres	modarre	VERB
ajase-5500	15	36	ouarda	ouarda	PROPN
ajase-5500	15	37	,	,	PUNCT
ajase-5500	15	38	2014	2014	NUM
ajase-5500	15	39	)	)	PUNCT
ajase-5500	15	40	.	.	PUNCT
ajase-5500	16	1	in	in	ADP
ajase-5500	16	2	recent	recent	ADJ
ajase-5500	16	3	years	year	NOUN
ajase-5500	16	4	,	,	PUNCT
ajase-5500	16	5	the	the	DET
ajase-5500	16	6	integration	integration	NOUN
ajase-5500	16	7	of	of	ADP
ajase-5500	16	8	machine	machine	NOUN
ajase-5500	16	9	learning	learning	NOUN
ajase-5500	16	10	(	(	PUNCT
ajase-5500	16	11	ml	ml	NOUN
ajase-5500	16	12	)	)	PUNCT
ajase-5500	16	13	and	and	CCONJ
ajase-5500	16	14	artificial	artificial	ADJ
ajase-5500	16	15	intelligence	intelligence	NOUN
ajase-5500	16	16	(	(	PUNCT
ajase-5500	16	17	ai	ai	NOUN
ajase-5500	16	18	)	)	PUNCT
ajase-5500	16	19	into	into	ADP
ajase-5500	16	20	climate	climate	NOUN
ajase-5500	16	21	modeling	modeling	NOUN
ajase-5500	16	22	has	have	AUX
ajase-5500	16	23	become	become	VERB
ajase-5500	16	24	increasingly	increasingly	ADV
ajase-5500	16	25	popular	popular	ADJ
ajase-5500	16	26	.	.	PUNCT
ajase-5500	17	1	hybrid	hybrid	ADJ
ajase-5500	17	2	models	model	NOUN
ajase-5500	17	3	,	,	PUNCT
ajase-5500	17	4	which	which	PRON
ajase-5500	17	5	combine	combine	VERB
ajase-5500	17	6	traditional	traditional	ADJ
ajase-5500	17	7	statistical	statistical	ADJ
ajase-5500	17	8	approaches	approach	NOUN
ajase-5500	17	9	with	with	ADP
ajase-5500	17	10	ai	ai	ADJ
ajase-5500	17	11	techniques	technique	NOUN
ajase-5500	17	12	,	,	PUNCT
ajase-5500	17	13	have	have	AUX
ajase-5500	17	14	shown	show	VERB
ajase-5500	17	15	significant	significant	ADJ
ajase-5500	17	16	promise	promise	NOUN
ajase-5500	17	17	in	in	ADP
ajase-5500	17	18	improving	improve	VERB
ajase-5500	17	19	the	the	DET
ajase-5500	17	20	accuracy	accuracy	NOUN
ajase-5500	17	21	of	of	ADP
ajase-5500	17	22	climatic	climatic	ADJ
ajase-5500	17	23	forecasts	forecast	NOUN
ajase-5500	17	24	(	(	PUNCT
ajase-5500	17	25	slater	slater	NOUN
ajase-5500	17	26	,	,	PUNCT
ajase-5500	17	27	2023	2023	NUM
ajase-5500	17	28	;	;	PUNCT
ajase-5500	17	29	han	han	PROPN
ajase-5500	17	30	,	,	PUNCT
ajase-5500	17	31	2012	2012	NUM
ajase-5500	17	32	)	)	PUNCT
ajase-5500	17	33	.	.	PUNCT
ajase-5500	18	1	for	for	ADP
ajase-5500	18	2	instance	instance	NOUN
ajase-5500	18	3	,	,	PUNCT
ajase-5500	18	4	deep	deep	ADJ
ajase-5500	18	5	learning	learning	NOUN
ajase-5500	18	6	models	model	NOUN
ajase-5500	18	7	such	such	ADJ
ajase-5500	18	8	as	as	ADP
ajase-5500	18	9	long	long	ADJ
ajase-5500	18	10	short	short	ADJ
ajase-5500	18	11	-	-	PUNCT
ajase-5500	18	12	term	term	NOUN
ajase-5500	18	13	memory	memory	NOUN
ajase-5500	18	14	(	(	PUNCT
ajase-5500	18	15	lstm	lstm	NOUN
ajase-5500	18	16	)	)	PUNCT
ajase-5500	18	17	and	and	CCONJ
ajase-5500	18	18	graph	graph	NOUN
ajase-5500	18	19	-	-	PUNCT
ajase-5500	18	20	based	base	VERB
ajase-5500	18	21	models	model	NOUN
ajase-5500	18	22	have	have	AUX
ajase-5500	18	23	proven	prove	VERB
ajase-5500	18	24	to	to	PART
ajase-5500	18	25	capture	capture	VERB
ajase-5500	18	26	both	both	PRON
ajase-5500	18	27	shortterm	shortterm	VERB
ajase-5500	18	28	fluctuations	fluctuation	NOUN
ajase-5500	18	29	and	and	CCONJ
ajase-5500	18	30	long	long	ADJ
ajase-5500	18	31	-	-	PUNCT
ajase-5500	18	32	term	term	NOUN
ajase-5500	18	33	patterns	pattern	NOUN
ajase-5500	18	34	more	more	ADV
ajase-5500	18	35	effectively	effectively	ADV
ajase-5500	18	36	than	than	ADP
ajase-5500	18	37	traditional	traditional	ADJ
ajase-5500	18	38	methods	method	NOUN
ajase-5500	18	39	(	(	PUNCT
ajase-5500	18	40	kipf	kipf	NOUN
ajase-5500	18	41	-	-	PUNCT
ajase-5500	18	42	welling	welling	ADJ
ajase-5500	18	43	,	,	PUNCT
ajase-5500	18	44	2017	2017	NUM
ajase-5500	18	45	;	;	PUNCT
ajase-5500	18	46	vaswani	vaswani	NOUN
ajase-5500	18	47	,	,	PUNCT
ajase-5500	18	48	2017	2017	NUM
ajase-5500	18	49	)	)	PUNCT
ajase-5500	18	50	.	.	PUNCT
ajase-5500	19	1	however	however	ADV
ajase-5500	19	2	,	,	PUNCT
ajase-5500	19	3	there	there	PRON
ajase-5500	19	4	remains	remain	VERB
ajase-5500	19	5	a	a	DET
ajase-5500	19	6	significant	significant	ADJ
ajase-5500	19	7	challenge	challenge	NOUN
ajase-5500	19	8	in	in	ADP
ajase-5500	19	9	balancing	balance	VERB
ajase-5500	19	10	the	the	DET
ajase-5500	19	11	computational	computational	ADJ
ajase-5500	19	12	efficiency	efficiency	NOUN
ajase-5500	19	13	,	,	PUNCT
ajase-5500	19	14	interpretability	interpretability	NOUN
ajase-5500	19	15	,	,	PUNCT
ajase-5500	19	16	and	and	CCONJ
ajase-5500	19	17	scalability	scalability	NOUN
ajase-5500	19	18	of	of	ADP
ajase-5500	19	19	these	these	DET
ajase-5500	19	20	advanced	advanced	ADJ
ajase-5500	19	21	models	model	NOUN
ajase-5500	19	22	(	(	PUNCT
ajase-5500	19	23	liu	liu	PROPN
ajase-5500	19	24	,	,	PUNCT
ajase-5500	19	25	2018	2018	NUM
ajase-5500	19	26	)	)	PUNCT
ajase-5500	19	27	.	.	PUNCT
ajase-5500	20	1	the	the	DET
ajase-5500	20	2	increasing	increase	VERB
ajase-5500	20	3	availability	availability	NOUN
ajase-5500	20	4	of	of	ADP
ajase-5500	20	5	high	high	ADJ
ajase-5500	20	6	-	-	PUNCT
ajase-5500	20	7	dimensional	dimensional	ADJ
ajase-5500	20	8	climate	climate	NOUN
ajase-5500	20	9	data	datum	NOUN
ajase-5500	20	10	from	from	ADP
ajase-5500	20	11	satellites	satellite	NOUN
ajase-5500	20	12	,	,	PUNCT
ajase-5500	20	13	weather	weather	NOUN
ajase-5500	20	14	stations	station	NOUN
ajase-5500	20	15	,	,	PUNCT
ajase-5500	20	16	and	and	CCONJ
ajase-5500	20	17	other	other	ADJ
ajase-5500	20	18	sensors	sensor	NOUN
ajase-5500	20	19	has	have	AUX
ajase-5500	20	20	enabled	enable	VERB
ajase-5500	20	21	researchers	researcher	NOUN
ajase-5500	20	22	to	to	PART
ajase-5500	20	23	explore	explore	VERB
ajase-5500	20	24	more	more	ADV
ajase-5500	20	25	complex	complex	ADJ
ajase-5500	20	26	and	and	CCONJ
ajase-5500	20	27	dynamic	dynamic	ADJ
ajase-5500	20	28	models	model	NOUN
ajase-5500	20	29	that	that	PRON
ajase-5500	20	30	better	well	ADV
ajase-5500	20	31	capture	capture	VERB
ajase-5500	20	32	the	the	DET
ajase-5500	20	33	interactions	interaction	NOUN
ajase-5500	20	34	between	between	ADP
ajase-5500	20	35	different	different	ADJ
ajase-5500	20	36	climatic	climatic	ADJ
ajase-5500	20	37	variables	variable	NOUN
ajase-5500	20	38	(	(	PUNCT
ajase-5500	20	39	de	de	X
ajase-5500	20	40	livera	livera	NOUN
ajase-5500	20	41	,	,	PUNCT
ajase-5500	20	42	2011	2011	NUM
ajase-5500	20	43	)	)	PUNCT
ajase-5500	20	44	.	.	PUNCT
ajase-5500	21	1	these	these	DET
ajase-5500	21	2	models	model	NOUN
ajase-5500	21	3	are	be	AUX
ajase-5500	21	4	essential	essential	ADJ
ajase-5500	21	5	for	for	ADP
ajase-5500	21	6	improving	improve	VERB
ajase-5500	21	7	decisionmaking	decisionmake	VERB
ajase-5500	21	8	in	in	ADP
ajase-5500	21	9	industries	industry	NOUN
ajase-5500	21	10	reliant	reliant	ADJ
ajase-5500	21	11	on	on	ADP
ajase-5500	21	12	climate	climate	NOUN
ajase-5500	21	13	forecasts	forecast	NOUN
ajase-5500	21	14	,	,	PUNCT
ajase-5500	21	15	especially	especially	ADV
ajase-5500	21	16	in	in	ADP
ajase-5500	21	17	regions	region	NOUN
ajase-5500	21	18	most	most	ADV
ajase-5500	21	19	vulnerable	vulnerable	ADJ
ajase-5500	21	20	to	to	ADP
ajase-5500	21	21	extreme	extreme	ADJ
ajase-5500	21	22	weather	weather	NOUN
ajase-5500	21	23	events	event	NOUN
ajase-5500	21	24	(	(	PUNCT
ajase-5500	21	25	gultepe	gultepe	NOUN
ajase-5500	21	26	,	,	PUNCT
ajase-5500	21	27	2019	2019	NUM
ajase-5500	21	28	)	)	PUNCT
ajase-5500	21	29	.	.	PUNCT
ajase-5500	22	1	sparse	sparse	ADJ
ajase-5500	22	2	factor	factor	NOUN
ajase-5500	22	3	models	model	NOUN
ajase-5500	22	4	condense	condense	VERB
ajase-5500	22	5	information	information	NOUN
ajase-5500	22	6	in	in	ADP
ajase-5500	22	7	large	large	ADJ
ajase-5500	22	8	crosssection	crosssection	NOUN
ajase-5500	22	9	or	or	CCONJ
ajase-5500	22	10	panel	panel	NOUN
ajase-5500	22	11	datasets	dataset	NOUN
ajase-5500	22	12	.	.	PUNCT
ajase-5500	23	1	so	so	ADV
ajase-5500	23	2	far	far	ADV
ajase-5500	23	3	,	,	PUNCT
ajase-5500	23	4	they	they	PRON
ajase-5500	23	5	have	have	AUX
ajase-5500	23	6	particularly	particularly	ADV
ajase-5500	23	7	been	be	AUX
ajase-5500	23	8	used	use	VERB
ajase-5500	23	9	in	in	ADP
ajase-5500	23	10	gene	gene	NOUN
ajase-5500	23	11	expression	expression	NOUN
ajase-5500	23	12	analysis	analysis	NOUN
ajase-5500	23	13	,	,	PUNCT
ajase-5500	23	14	where	where	SCONJ
ajase-5500	23	15	only	only	ADV
ajase-5500	23	16	few	few	ADJ
ajase-5500	23	17	out	out	ADP
ajase-5500	23	18	of	of	ADP
ajase-5500	23	19	potentially	potentially	ADV
ajase-5500	23	20	tens	ten	NOUN
ajase-5500	23	21	of	of	ADP
ajase-5500	23	22	thousands	thousand	NOUN
ajase-5500	23	23	of	of	ADP
ajase-5500	23	24	genes	gene	NOUN
ajase-5500	23	25	may	may	AUX
ajase-5500	23	26	be	be	AUX
ajase-5500	23	27	responsible	responsible	ADJ
ajase-5500	23	28	for	for	ADP
ajase-5500	23	29	some	some	DET
ajase-5500	23	30	physiological	physiological	ADJ
ajase-5500	23	31	outcome	outcome	NOUN
ajase-5500	23	32	of	of	ADP
ajase-5500	23	33	interest	interest	NOUN
ajase-5500	23	34	.	.	PUNCT
ajase-5500	24	1	individual	individual	ADJ
ajase-5500	24	2	gene	gene	NOUN
ajase-5500	24	3	expressions	expression	NOUN
ajase-5500	24	4	may	may	AUX
ajase-5500	24	5	thus	thus	ADV
ajase-5500	24	6	be	be	AUX
ajase-5500	24	7	influenced	influence	VERB
ajase-5500	24	8	by	by	ADP
ajase-5500	24	9	common	common	ADJ
ajase-5500	24	10	biological	biological	ADJ
ajase-5500	24	11	factors	factor	NOUN
ajase-5500	24	12	,	,	PUNCT
ajase-5500	24	13	each	each	PRON
ajase-5500	24	14	of	of	ADP
ajase-5500	24	15	which	which	PRON
ajase-5500	24	16	involves	involve	VERB
ajase-5500	24	17	only	only	ADV
ajase-5500	24	18	a	a	DET
ajase-5500	24	19	subgroup	subgroup	NOUN
ajase-5500	24	20	of	of	ADP
ajase-5500	24	21	genes	gene	NOUN
ajase-5500	24	22	.	.	PUNCT
ajase-5500	25	1	a	a	DET
ajase-5500	25	2	sparse	sparse	ADJ
ajase-5500	25	3	loading	loading	NOUN
ajase-5500	25	4	matrix	matrix	NOUN
ajase-5500	25	5	arises	arise	VERB
ajase-5500	25	6	naturally	naturally	ADV
ajase-5500	25	7	in	in	ADP
ajase-5500	25	8	this	this	DET
ajase-5500	25	9	context	context	NOUN
ajase-5500	25	10	,	,	PUNCT
ajase-5500	25	11	in	in	ADP
ajase-5500	25	12	which	which	PRON
ajase-5500	25	13	many	many	ADJ
ajase-5500	25	14	zero	zero	NUM
ajase-5500	25	15	rows	row	NOUN
ajase-5500	25	16	indicate	indicate	VERB
ajase-5500	25	17	that	that	SCONJ
ajase-5500	25	18	only	only	ADV
ajase-5500	25	19	a	a	DET
ajase-5500	25	20	small	small	ADJ
ajase-5500	25	21	share	share	NOUN
ajase-5500	25	22	of	of	ADP
ajase-5500	25	23	all	all	DET
ajase-5500	25	24	genes	gene	NOUN
ajase-5500	25	25	determines	determine	VERB
ajase-5500	25	26	the	the	DET
ajase-5500	25	27	biological	biological	ADJ
ajase-5500	25	28	factors	factor	NOUN
ajase-5500	25	29	of	of	ADP
ajase-5500	25	30	interest	interest	NOUN
ajase-5500	25	31	,	,	PUNCT
ajase-5500	25	32	and	and	CCONJ
ajase-5500	25	33	zeros	zero	NOUN
ajase-5500	25	34	in	in	ADP
ajase-5500	25	35	columns	column	NOUN
ajase-5500	25	36	indicate	indicate	VERB
ajase-5500	25	37	that	that	SCONJ
ajase-5500	25	38	genes	gene	NOUN
ajase-5500	25	39	usually	usually	ADV
ajase-5500	25	40	determine	determine	VERB
ajase-5500	25	41	one	one	NUM
ajase-5500	25	42	or	or	CCONJ
ajase-5500	25	43	only	only	ADV
ajase-5500	25	44	a	a	DET
ajase-5500	25	45	few	few	ADJ
ajase-5500	25	46	of	of	ADP
ajase-5500	25	47	the	the	DET
ajase-5500	25	48	biological	biological	ADJ
ajase-5500	25	49	factors	factor	NOUN
ajase-5500	25	50	(	(	PUNCT
ajase-5500	25	51	west	west	NOUN
ajase-5500	25	52	,	,	PUNCT
ajase-5500	25	53	2003	2003	NUM
ajase-5500	25	54	,	,	PUNCT
ajase-5500	25	55	lucas	lucas	NOUN
ajase-5500	25	56	,	,	PUNCT
ajase-5500	25	57	2006	2006	NUM
ajase-5500	25	58	)	)	PUNCT
ajase-5500	25	59	.	.	PUNCT
ajase-5500	26	1	this	this	DET
ajase-5500	26	2	framework	framework	NOUN
ajase-5500	26	3	is	be	AUX
ajase-5500	26	4	also	also	ADV
ajase-5500	26	5	of	of	ADP
ajase-5500	26	6	interest	interest	NOUN
ajase-5500	26	7	for	for	ADP
ajase-5500	26	8	economic	economic	ADJ
ajase-5500	26	9	analysis	analysis	NOUN
ajase-5500	26	10	.	.	PUNCT
ajase-5500	27	1	in	in	ADP
ajase-5500	27	2	recent	recent	ADJ
ajase-5500	27	3	times	time	NOUN
ajase-5500	27	4	the	the	DET
ajase-5500	27	5	practice	practice	NOUN
ajase-5500	27	6	of	of	ADP
ajase-5500	27	7	including	include	VERB
ajase-5500	27	8	as	as	ADV
ajase-5500	27	9	much	much	ADJ
ajase-5500	27	10	data	datum	NOUN
ajase-5500	27	11	as	as	ADP
ajase-5500	27	12	available	available	ADJ
ajase-5500	27	13	or	or	CCONJ
ajase-5500	27	14	using	use	VERB
ajase-5500	27	15	the	the	DET
ajase-5500	27	16	highest	high	ADJ
ajase-5500	27	17	possible	possible	ADJ
ajase-5500	27	18	disaggregation	disaggregation	NOUN
ajase-5500	27	19	level	level	NOUN
ajase-5500	27	20	pa	pa	PROPN
ajase-5500	27	21	ge	ge	PROPN
ajase-5500	27	22	71	71	NUM
ajase-5500	27	23	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	27	24	am	be	AUX
ajase-5500	27	25	.	.	PUNCT
ajase-5500	28	1	j.	j.	PROPN
ajase-5500	28	2	appl	appl	PROPN
ajase-5500	28	3	.	.	PROPN
ajase-5500	29	1	stat	stat	PROPN
ajase-5500	29	2	.	.	PUNCT
ajase-5500	30	1	econ	econ	PROPN
ajase-5500	30	2	.	.	PUNCT
ajase-5500	31	1	4(1	4(1	X
ajase-5500	31	2	)	)	PUNCT
ajase-5500	32	1	70	70	NUM
ajase-5500	32	2	-	-	SYM
ajase-5500	32	3	79	79	NUM
ajase-5500	32	4	,	,	PUNCT
ajase-5500	32	5	2025	2025	NUM
ajase-5500	32	6	in	in	ADP
ajase-5500	32	7	sectoral	sectoral	ADJ
ajase-5500	32	8	analysis	analysis	NOUN
ajase-5500	32	9	has	have	AUX
ajase-5500	32	10	become	become	VERB
ajase-5500	32	11	standard	standard	ADJ
ajase-5500	32	12	in	in	ADP
ajase-5500	32	13	econometric	econometric	ADJ
ajase-5500	32	14	factor	factor	NOUN
ajase-5500	32	15	analysis	analysis	NOUN
ajase-5500	32	16	to	to	PART
ajase-5500	32	17	construct	construct	VERB
ajase-5500	32	18	composite	composite	ADJ
ajase-5500	32	19	business	business	NOUN
ajase-5500	32	20	cycle	cycle	NOUN
ajase-5500	32	21	indicators	indicator	NOUN
ajase-5500	32	22	(	(	PUNCT
ajase-5500	32	23	forni	forni	PROPN
ajase-5500	32	24	,	,	PUNCT
ajase-5500	32	25	2000	2000	NUM
ajase-5500	32	26	;	;	PUNCT
ajase-5500	32	27	forni	forni	PROPN
ajase-5500	32	28	,	,	PUNCT
ajase-5500	32	29	2001	2001	NUM
ajase-5500	32	30	)	)	PUNCT
ajase-5500	32	31	or	or	CCONJ
ajase-5500	32	32	to	to	PART
ajase-5500	32	33	develop	develop	VERB
ajase-5500	32	34	forecasting	forecasting	NOUN
ajase-5500	32	35	methods	method	NOUN
ajase-5500	32	36	(	(	PUNCT
ajase-5500	32	37	stock	stock	NOUN
ajase-5500	32	38	&	&	CCONJ
ajase-5500	32	39	watson	watson	PROPN
ajase-5500	32	40	,	,	PUNCT
ajase-5500	32	41	2002b	2002b	NUM
ajase-5500	32	42	)	)	PUNCT
ajase-5500	32	43	.	.	PUNCT
ajase-5500	33	1	specifying	specify	VERB
ajase-5500	33	2	a	a	DET
ajase-5500	33	3	sparse	sparse	ADJ
ajase-5500	33	4	factor	factor	NOUN
ajase-5500	33	5	model	model	NOUN
ajase-5500	33	6	for	for	ADP
ajase-5500	33	7	large	large	ADJ
ajase-5500	33	8	economic	economic	ADJ
ajase-5500	33	9	datasets	dataset	NOUN
ajase-5500	33	10	brings	bring	VERB
ajase-5500	33	11	about	about	ADP
ajase-5500	33	12	valuable	valuable	ADJ
ajase-5500	33	13	advantages	advantage	NOUN
ajase-5500	33	14	.	.	PUNCT
ajase-5500	34	1	first	first	ADV
ajase-5500	34	2	,	,	PUNCT
ajase-5500	34	3	the	the	DET
ajase-5500	34	4	inference	inference	NOUN
ajase-5500	34	5	on	on	ADP
ajase-5500	34	6	a	a	DET
ajase-5500	34	7	sparse	sparse	ADJ
ajase-5500	34	8	factor	factor	NOUN
ajase-5500	34	9	loading	loading	NOUN
ajase-5500	34	10	matrix	matrix	NOUN
ajase-5500	34	11	can	can	AUX
ajase-5500	34	12	provide	provide	VERB
ajase-5500	34	13	an	an	DET
ajase-5500	34	14	explicit	explicit	ADJ
ajase-5500	34	15	interpretation	interpretation	NOUN
ajase-5500	34	16	of	of	ADP
ajase-5500	34	17	the	the	DET
ajase-5500	34	18	factors	factor	NOUN
ajase-5500	34	19	.	.	PUNCT
ajase-5500	35	1	given	give	VERB
ajase-5500	35	2	that	that	DET
ajase-5500	35	3	series	series	NOUN
ajase-5500	35	4	might	might	AUX
ajase-5500	35	5	be	be	AUX
ajase-5500	35	6	affected	affect	VERB
ajase-5500	35	7	by	by	ADP
ajase-5500	35	8	only	only	ADV
ajase-5500	35	9	fewer	few	ADJ
ajase-5500	35	10	than	than	ADP
ajase-5500	35	11	all	all	DET
ajase-5500	35	12	estimated	estimated	ADJ
ajase-5500	35	13	factors	factor	NOUN
ajase-5500	35	14	,	,	PUNCT
ajase-5500	35	15	those	those	PRON
ajase-5500	35	16	with	with	ADP
ajase-5500	35	17	non	non	ADJ
ajase-5500	35	18	-	-	ADJ
ajase-5500	35	19	zero	zero	NUM
ajase-5500	35	20	loadings	loading	NOUN
ajase-5500	35	21	are	be	AUX
ajase-5500	35	22	relevant	relevant	ADJ
ajase-5500	35	23	for	for	ADP
ajase-5500	35	24	the	the	DET
ajase-5500	35	25	interpretation	interpretation	NOUN
ajase-5500	35	26	of	of	ADP
ajase-5500	35	27	a	a	DET
ajase-5500	35	28	factor	factor	NOUN
ajase-5500	35	29	.	.	PUNCT
ajase-5500	36	1	second	second	ADJ
ajase-5500	36	2	,	,	PUNCT
ajase-5500	36	3	the	the	DET
ajase-5500	36	4	issue	issue	NOUN
ajase-5500	36	5	of	of	ADP
ajase-5500	36	6	selecting	select	VERB
ajase-5500	36	7	the	the	DET
ajase-5500	36	8	variables	variable	NOUN
ajase-5500	36	9	containing	contain	VERB
ajase-5500	36	10	most	most	ADJ
ajase-5500	36	11	information	information	NOUN
ajase-5500	36	12	on	on	ADP
ajase-5500	36	13	the	the	DET
ajase-5500	36	14	common	common	ADJ
ajase-5500	36	15	factors	factor	NOUN
ajase-5500	36	16	is	be	AUX
ajase-5500	36	17	simultaneously	simultaneously	ADV
ajase-5500	36	18	addressed	address	VERB
ajase-5500	36	19	while	while	SCONJ
ajase-5500	36	20	estimating	estimate	VERB
ajase-5500	36	21	the	the	DET
ajase-5500	36	22	model	model	NOUN
ajase-5500	36	23	.	.	PUNCT
ajase-5500	37	1	the	the	DET
ajase-5500	37	2	factor	factor	NOUN
ajase-5500	37	3	loadings	loading	NOUN
ajase-5500	37	4	of	of	ADP
ajase-5500	37	5	irrelevant	irrelevant	ADJ
ajase-5500	37	6	variables	variable	NOUN
ajase-5500	37	7	are	be	AUX
ajase-5500	37	8	shrunk	shrink	VERB
ajase-5500	37	9	to	to	ADP
ajase-5500	37	10	zero	zero	NUM
ajase-5500	37	11	,	,	PUNCT
ajase-5500	37	12	which	which	PRON
ajase-5500	37	13	yields	yield	VERB
ajase-5500	37	14	rows	row	NOUN
ajase-5500	37	15	of	of	ADP
ajase-5500	37	16	zeros	zero	NOUN
ajase-5500	37	17	in	in	ADP
ajase-5500	37	18	the	the	DET
ajase-5500	37	19	factor	factor	NOUN
ajase-5500	37	20	loading	loading	NOUN
ajase-5500	37	21	matrix	matrix	NOUN
ajase-5500	37	22	.	.	PUNCT
ajase-5500	38	1	third	third	ADJ
ajase-5500	38	2	,	,	PUNCT
ajase-5500	38	3	in	in	ADP
ajase-5500	38	4	forecasting	forecasting	NOUN
ajase-5500	38	5	,	,	PUNCT
ajase-5500	38	6	the	the	DET
ajase-5500	38	7	estimation	estimation	NOUN
ajase-5500	38	8	results	result	NOUN
ajase-5500	38	9	provide	provide	VERB
ajase-5500	38	10	evidence	evidence	NOUN
ajase-5500	38	11	on	on	ADP
ajase-5500	38	12	whether	whether	SCONJ
ajase-5500	38	13	the	the	DET
ajase-5500	38	14	panel	panel	NOUN
ajase-5500	38	15	contains	contain	VERB
ajase-5500	38	16	relevant	relevant	ADJ
ajase-5500	38	17	information	information	NOUN
ajase-5500	38	18	for	for	ADP
ajase-5500	38	19	a	a	DET
ajase-5500	38	20	variable	variable	NOUN
ajase-5500	38	21	of	of	ADP
ajase-5500	38	22	interest	interest	NOUN
ajase-5500	38	23	,	,	PUNCT
ajase-5500	38	24	and	and	CCONJ
ajase-5500	38	25	specifically	specifically	ADV
ajase-5500	38	26	which	which	DET
ajase-5500	38	27	variables	variable	NOUN
ajase-5500	38	28	should	should	AUX
ajase-5500	38	29	be	be	AUX
ajase-5500	38	30	retained	retain	VERB
ajase-5500	38	31	to	to	PART
ajase-5500	38	32	compute	compute	VERB
ajase-5500	38	33	the	the	DET
ajase-5500	38	34	forecast	forecast	NOUN
ajase-5500	38	35	.	.	PUNCT
ajase-5500	39	1	sparse	sparse	ADJ
ajase-5500	39	2	dynamic	dynamic	ADJ
ajase-5500	39	3	factor	factor	NOUN
ajase-5500	39	4	models	model	NOUN
ajase-5500	39	5	(	(	PUNCT
ajase-5500	39	6	sdfm	sdfm	NOUN
ajase-5500	39	7	)	)	PUNCT
ajase-5500	39	8	combine	combine	VERB
ajase-5500	39	9	dynamic	dynamic	ADJ
ajase-5500	39	10	factor	factor	NOUN
ajase-5500	39	11	analysis	analysis	NOUN
ajase-5500	39	12	with	with	ADP
ajase-5500	39	13	sparsity	sparsity	NOUN
ajase-5500	39	14	constraints	constraint	NOUN
ajase-5500	39	15	to	to	PART
ajase-5500	39	16	identify	identify	VERB
ajase-5500	39	17	underlying	underlying	ADJ
ajase-5500	39	18	factors	factor	NOUN
ajase-5500	39	19	and	and	CCONJ
ajase-5500	39	20	select	select	VERB
ajase-5500	39	21	relevant	relevant	ADJ
ajase-5500	39	22	features	feature	NOUN
ajase-5500	39	23	in	in	ADP
ajase-5500	39	24	high	high	ADJ
ajase-5500	39	25	-	-	PUNCT
ajase-5500	39	26	dimensional	dimensional	ADJ
ajase-5500	39	27	time	time	NOUN
ajase-5500	39	28	-	-	PUNCT
ajase-5500	39	29	series	series	NOUN
ajase-5500	39	30	data	datum	NOUN
ajase-5500	39	31	.	.	PUNCT
ajase-5500	40	1	it	it	PRON
ajase-5500	40	2	is	be	AUX
ajase-5500	40	3	a	a	DET
ajase-5500	40	4	statistical	statistical	ADJ
ajase-5500	40	5	model	model	NOUN
ajase-5500	40	6	that	that	PRON
ajase-5500	40	7	extracts	extract	VERB
ajase-5500	40	8	underlying	underlie	VERB
ajase-5500	40	9	dynamic	dynamic	ADJ
ajase-5500	40	10	factors	factor	NOUN
ajase-5500	40	11	,	,	PUNCT
ajase-5500	40	12	imposes	impose	VERB
ajase-5500	40	13	sparsity	sparsity	NOUN
ajase-5500	40	14	constraints	constraint	NOUN
ajase-5500	40	15	on	on	ADP
ajase-5500	40	16	factor	factor	NOUN
ajase-5500	40	17	loadings	loading	NOUN
ajase-5500	40	18	and	and	CCONJ
ajase-5500	40	19	captures	capture	VERB
ajase-5500	40	20	temporal	temporal	ADJ
ajase-5500	40	21	relationships	relationship	NOUN
ajase-5500	40	22	.	.	PUNCT
ajase-5500	41	1	the	the	DET
ajase-5500	41	2	techniques	technique	NOUN
ajase-5500	41	3	under	under	ADP
ajase-5500	41	4	it	it	PRON
ajase-5500	41	5	include	include	VERB
ajase-5500	41	6	,	,	PUNCT
ajase-5500	41	7	the	the	DET
ajase-5500	41	8	static	static	ADJ
ajase-5500	41	9	,	,	PUNCT
ajase-5500	41	10	dynamic	dynamic	ADJ
ajase-5500	41	11	and	and	CCONJ
ajase-5500	41	12	generalized	generalized	ADJ
ajase-5500	41	13	sparse	sparse	ADJ
ajase-5500	41	14	dynamic	dynamic	ADJ
ajase-5500	41	15	factor	factor	NOUN
ajase-5500	41	16	models	model	NOUN
ajase-5500	41	17	.	.	PUNCT
ajase-5500	42	1	the	the	DET
ajase-5500	42	2	model	model	NOUN
ajase-5500	42	3	consists	consist	VERB
ajase-5500	42	4	of	of	ADP
ajase-5500	42	5	dynamic	dynamic	ADJ
ajase-5500	42	6	factor	factor	NOUN
ajase-5500	42	7	analysis	analysis	NOUN
ajase-5500	42	8	,	,	PUNCT
ajase-5500	42	9	sparsity	sparsity	NOUN
ajase-5500	42	10	constraints	constraint	NOUN
ajase-5500	42	11	and	and	CCONJ
ajase-5500	42	12	temporal	temporal	ADJ
ajase-5500	42	13	relationships	relationship	NOUN
ajase-5500	42	14	.	.	PUNCT
ajase-5500	43	1	sdfm	sdfm	NOUN
ajase-5500	43	2	is	be	AUX
ajase-5500	43	3	useful	useful	ADJ
ajase-5500	43	4	for	for	ADP
ajase-5500	43	5	identification	identification	NOUN
ajase-5500	43	6	of	of	ADP
ajase-5500	43	7	relevant	relevant	ADJ
ajase-5500	43	8	features	feature	NOUN
ajase-5500	43	9	,	,	PUNCT
ajase-5500	43	10	reduction	reduction	NOUN
ajase-5500	43	11	of	of	ADP
ajase-5500	43	12	overfitting	overfitting	NOUN
ajase-5500	43	13	,	,	PUNCT
ajase-5500	43	14	improves	improve	VERB
ajase-5500	43	15	interpretability	interpretability	NOUN
ajase-5500	43	16	and	and	CCONJ
ajase-5500	43	17	captures	capture	VERB
ajase-5500	43	18	temporal	temporal	ADJ
ajase-5500	43	19	dynamics	dynamic	NOUN
ajase-5500	43	20	.	.	PUNCT
ajase-5500	44	1	it	it	PRON
ajase-5500	44	2	can	can	AUX
ajase-5500	44	3	be	be	AUX
ajase-5500	44	4	applied	apply	VERB
ajase-5500	44	5	to	to	ADP
ajase-5500	44	6	macroeconomic	macroeconomic	ADJ
ajase-5500	44	7	forecasting	forecasting	NOUN
ajase-5500	44	8	,	,	PUNCT
ajase-5500	44	9	financial	financial	ADJ
ajase-5500	44	10	risk	risk	NOUN
ajase-5500	44	11	analysis	analysis	NOUN
ajase-5500	44	12	,	,	PUNCT
ajase-5500	44	13	neuroscience	neuroscience	NOUN
ajase-5500	44	14	and	and	CCONJ
ajase-5500	44	15	climate	climate	NOUN
ajase-5500	44	16	modelling	modelling	NOUN
ajase-5500	44	17	.	.	PUNCT
ajase-5500	45	1	the	the	DET
ajase-5500	45	2	estimation	estimation	NOUN
ajase-5500	45	3	methods	method	NOUN
ajase-5500	45	4	under	under	ADP
ajase-5500	45	5	sdfm	sdfm	NOUN
ajase-5500	45	6	are	be	AUX
ajase-5500	45	7	maximum	maximum	ADJ
ajase-5500	45	8	likelihood	likelihood	NOUN
ajase-5500	45	9	estimation	estimation	NOUN
ajase-5500	45	10	(	(	PUNCT
ajase-5500	45	11	mle	mle	PROPN
ajase-5500	45	12	)	)	PUNCT
ajase-5500	45	13	,	,	PUNCT
ajase-5500	45	14	principal	principal	ADJ
ajase-5500	45	15	component	component	NOUN
ajase-5500	45	16	analysis	analysis	NOUN
ajase-5500	45	17	,	,	PUNCT
ajase-5500	45	18	independent	independent	ADJ
ajase-5500	45	19	component	component	NOUN
ajase-5500	45	20	analysis	analysis	NOUN
ajase-5500	45	21	(	(	PUNCT
ajase-5500	45	22	ica	ica	PROPN
ajase-5500	45	23	)	)	PUNCT
ajase-5500	45	24	and	and	CCONJ
ajase-5500	45	25	bayesian	bayesian	NOUN
ajase-5500	45	26	methods	method	NOUN
ajase-5500	45	27	.	.	PUNCT
ajase-5500	46	1	accurately	accurately	ADV
ajase-5500	46	2	forecasting	forecast	VERB
ajase-5500	46	3	climatic	climatic	ADJ
ajase-5500	46	4	variables	variable	NOUN
ajase-5500	46	5	is	be	AUX
ajase-5500	46	6	critical	critical	ADJ
ajase-5500	46	7	,	,	PUNCT
ajase-5500	46	8	but	but	CCONJ
ajase-5500	46	9	current	current	ADJ
ajase-5500	46	10	forecasting	forecasting	NOUN
ajase-5500	46	11	models	model	NOUN
ajase-5500	46	12	face	face	VERB
ajase-5500	46	13	several	several	ADJ
ajase-5500	46	14	limitations	limitation	NOUN
ajase-5500	46	15	,	,	PUNCT
ajase-5500	46	16	particularly	particularly	ADV
ajase-5500	46	17	when	when	SCONJ
ajase-5500	46	18	dealing	deal	VERB
ajase-5500	46	19	with	with	ADP
ajase-5500	46	20	the	the	DET
ajase-5500	46	21	complex	complex	ADJ
ajase-5500	46	22	,	,	PUNCT
ajase-5500	46	23	nonlinear	nonlinear	ADJ
ajase-5500	46	24	,	,	PUNCT
ajase-5500	46	25	and	and	CCONJ
ajase-5500	46	26	interdependent	interdependent	ADJ
ajase-5500	46	27	nature	nature	NOUN
ajase-5500	46	28	of	of	ADP
ajase-5500	46	29	climatic	climatic	ADJ
ajase-5500	46	30	data	datum	NOUN
ajase-5500	46	31	(	(	PUNCT
ajase-5500	46	32	huang	huang	PROPN
ajase-5500	46	33	,	,	PUNCT
ajase-5500	46	34	1998	1998	NUM
ajase-5500	46	35	)	)	PUNCT
ajase-5500	46	36	.	.	PUNCT
ajase-5500	47	1	traditional	traditional	ADJ
ajase-5500	47	2	time	time	NOUN
ajase-5500	47	3	series	series	PROPN
ajase-5500	47	4	models	model	NOUN
ajase-5500	47	5	,	,	PUNCT
ajase-5500	47	6	such	such	ADJ
ajase-5500	47	7	as	as	ADP
ajase-5500	47	8	arima	arima	NOUN
ajase-5500	47	9	and	and	CCONJ
ajase-5500	47	10	garch	garch	NOUN
ajase-5500	47	11	,	,	PUNCT
ajase-5500	47	12	are	be	AUX
ajase-5500	47	13	based	base	VERB
ajase-5500	47	14	on	on	ADP
ajase-5500	47	15	linear	linear	PROPN
ajase-5500	47	16	assumptions	assumption	NOUN
ajase-5500	47	17	,	,	PUNCT
ajase-5500	47	18	making	make	VERB
ajase-5500	47	19	them	they	PRON
ajase-5500	47	20	less	less	ADV
ajase-5500	47	21	suitable	suitable	ADJ
ajase-5500	47	22	for	for	ADP
ajase-5500	47	23	capturing	capture	VERB
ajase-5500	47	24	the	the	DET
ajase-5500	47	25	nonlinearity	nonlinearity	NOUN
ajase-5500	47	26	,	,	PUNCT
ajase-5500	47	27	seasonal	seasonal	ADJ
ajase-5500	47	28	patterns	pattern	NOUN
ajase-5500	47	29	,	,	PUNCT
ajase-5500	47	30	and	and	CCONJ
ajase-5500	47	31	abrupt	abrupt	ADJ
ajase-5500	47	32	shifts	shift	NOUN
ajase-5500	47	33	that	that	PRON
ajase-5500	47	34	are	be	AUX
ajase-5500	47	35	characteristic	characteristic	ADJ
ajase-5500	47	36	of	of	ADP
ajase-5500	47	37	climatic	climatic	ADJ
ajase-5500	47	38	variables	variable	NOUN
ajase-5500	47	39	(	(	PUNCT
ajase-5500	47	40	modarres	modarre	NOUN
ajase-5500	47	41	&	&	CCONJ
ajase-5500	47	42	ouarda	ouarda	PROPN
ajase-5500	47	43	,	,	PUNCT
ajase-5500	47	44	2013	2013	NUM
ajase-5500	47	45	)	)	PUNCT
ajase-5500	47	46	.	.	PUNCT
ajase-5500	48	1	these	these	DET
ajase-5500	48	2	limitations	limitation	NOUN
ajase-5500	48	3	are	be	AUX
ajase-5500	48	4	particularly	particularly	ADV
ajase-5500	48	5	evident	evident	ADJ
ajase-5500	48	6	when	when	SCONJ
ajase-5500	48	7	forecasting	forecasting	NOUN
ajase-5500	48	8	extreme	extreme	ADJ
ajase-5500	48	9	weather	weather	NOUN
ajase-5500	48	10	events	event	NOUN
ajase-5500	48	11	or	or	CCONJ
ajase-5500	48	12	long	long	ADJ
ajase-5500	48	13	-	-	PUNCT
ajase-5500	48	14	term	term	NOUN
ajase-5500	48	15	climate	climate	NOUN
ajase-5500	48	16	patterns	pattern	NOUN
ajase-5500	48	17	,	,	PUNCT
ajase-5500	48	18	where	where	SCONJ
ajase-5500	48	19	more	more	ADV
ajase-5500	48	20	sophisticated	sophisticated	ADJ
ajase-5500	48	21	models	model	NOUN
ajase-5500	48	22	are	be	AUX
ajase-5500	48	23	needed	need	VERB
ajase-5500	48	24	(	(	PUNCT
ajase-5500	48	25	harvey	harvey	NOUN
ajase-5500	48	26	&	&	CCONJ
ajase-5500	48	27	peters	peters	PROPN
ajase-5500	48	28	,	,	PUNCT
ajase-5500	48	29	1990	1990	NUM
ajase-5500	48	30	)	)	PUNCT
ajase-5500	48	31	.	.	PUNCT
ajase-5500	49	1	in	in	ADP
ajase-5500	49	2	addition	addition	NOUN
ajase-5500	49	3	,	,	PUNCT
ajase-5500	49	4	many	many	ADJ
ajase-5500	49	5	current	current	ADJ
ajase-5500	49	6	models	model	NOUN
ajase-5500	49	7	struggle	struggle	VERB
ajase-5500	49	8	to	to	PART
ajase-5500	49	9	handle	handle	VERB
ajase-5500	49	10	missing	miss	VERB
ajase-5500	49	11	data	datum	NOUN
ajase-5500	49	12	,	,	PUNCT
ajase-5500	49	13	a	a	DET
ajase-5500	49	14	common	common	ADJ
ajase-5500	49	15	issue	issue	NOUN
ajase-5500	49	16	in	in	ADP
ajase-5500	49	17	climate	climate	NOUN
ajase-5500	49	18	records	record	NOUN
ajase-5500	49	19	due	due	ADJ
ajase-5500	49	20	to	to	ADP
ajase-5500	49	21	irregular	irregular	ADJ
ajase-5500	49	22	reporting	reporting	NOUN
ajase-5500	49	23	intervals	interval	NOUN
ajase-5500	49	24	or	or	CCONJ
ajase-5500	49	25	sensor	sensor	NOUN
ajase-5500	49	26	failures	failure	NOUN
ajase-5500	49	27	(	(	PUNCT
ajase-5500	49	28	magnano	magnano	NOUN
ajase-5500	49	29	,	,	PUNCT
ajase-5500	49	30	2008	2008	NUM
ajase-5500	49	31	)	)	PUNCT
ajase-5500	49	32	.	.	PUNCT
ajase-5500	50	1	incomplete	incomplete	ADJ
ajase-5500	50	2	datasets	dataset	NOUN
ajase-5500	50	3	can	can	AUX
ajase-5500	50	4	lead	lead	VERB
ajase-5500	50	5	to	to	ADP
ajase-5500	50	6	biased	biased	ADJ
ajase-5500	50	7	or	or	CCONJ
ajase-5500	50	8	unreliable	unreliable	ADJ
ajase-5500	50	9	forecasts	forecast	NOUN
ajase-5500	50	10	,	,	PUNCT
ajase-5500	50	11	further	far	ADV
ajase-5500	50	12	complicating	complicate	VERB
ajase-5500	50	13	efforts	effort	NOUN
ajase-5500	50	14	to	to	PART
ajase-5500	50	15	predict	predict	VERB
ajase-5500	50	16	climatic	climatic	ADJ
ajase-5500	50	17	variables	variable	NOUN
ajase-5500	50	18	accurately	accurately	ADV
ajase-5500	50	19	.	.	PUNCT
ajase-5500	51	1	moreover	moreover	ADV
ajase-5500	51	2	,	,	PUNCT
ajase-5500	51	3	the	the	DET
ajase-5500	51	4	computational	computational	ADJ
ajase-5500	51	5	cost	cost	NOUN
ajase-5500	51	6	associated	associate	VERB
ajase-5500	51	7	with	with	ADP
ajase-5500	51	8	forecasting	forecasting	NOUN
ajase-5500	51	9	models	model	NOUN
ajase-5500	51	10	has	have	AUX
ajase-5500	51	11	become	become	VERB
ajase-5500	51	12	a	a	DET
ajase-5500	51	13	significant	significant	ADJ
ajase-5500	51	14	issue	issue	NOUN
ajase-5500	51	15	,	,	PUNCT
ajase-5500	51	16	especially	especially	ADV
ajase-5500	51	17	when	when	SCONJ
ajase-5500	51	18	applied	apply	VERB
ajase-5500	51	19	to	to	ADP
ajase-5500	51	20	large	large	ADJ
ajase-5500	51	21	-	-	PUNCT
ajase-5500	51	22	scale	scale	NOUN
ajase-5500	51	23	datasets	dataset	NOUN
ajase-5500	51	24	typical	typical	ADJ
ajase-5500	51	25	of	of	ADP
ajase-5500	51	26	climate	climate	NOUN
ajase-5500	51	27	science	science	NOUN
ajase-5500	51	28	(	(	PUNCT
ajase-5500	51	29	slater	slater	NOUN
ajase-5500	51	30	,	,	PUNCT
ajase-5500	51	31	2023	2023	NUM
ajase-5500	51	32	)	)	PUNCT
ajase-5500	51	33	.	.	PUNCT
ajase-5500	52	1	literature	literature	PROPN
ajase-5500	52	2	review	review	PROPN
ajase-5500	52	3	climate	climate	NOUN
ajase-5500	52	4	data	datum	NOUN
ajase-5500	52	5	refers	refer	VERB
ajase-5500	52	6	to	to	ADP
ajase-5500	52	7	information	information	NOUN
ajase-5500	52	8	amassed	amass	VERB
ajase-5500	52	9	over	over	ADP
ajase-5500	52	10	extended	extended	ADJ
ajase-5500	52	11	periods	period	NOUN
ajase-5500	52	12	,	,	PUNCT
ajase-5500	52	13	detailing	detail	VERB
ajase-5500	52	14	average	average	ADJ
ajase-5500	52	15	weather	weather	NOUN
ajase-5500	52	16	conditions	condition	NOUN
ajase-5500	52	17	,	,	PUNCT
ajase-5500	52	18	patterns	pattern	NOUN
ajase-5500	52	19	,	,	PUNCT
ajase-5500	52	20	and	and	CCONJ
ajase-5500	52	21	variations	variation	NOUN
ajase-5500	52	22	in	in	ADP
ajase-5500	52	23	specific	specific	ADJ
ajase-5500	52	24	regions	region	NOUN
ajase-5500	52	25	.	.	PUNCT
ajase-5500	53	1	this	this	DET
ajase-5500	53	2	data	datum	NOUN
ajase-5500	53	3	encompasses	encompass	VERB
ajase-5500	53	4	temperature	temperature	NOUN
ajase-5500	53	5	,	,	PUNCT
ajase-5500	53	6	precipitation	precipitation	NOUN
ajase-5500	53	7	,	,	PUNCT
ajase-5500	53	8	wind	wind	NOUN
ajase-5500	53	9	speed	speed	NOUN
ajase-5500	53	10	,	,	PUNCT
ajase-5500	53	11	humidity	humidity	NOUN
ajase-5500	53	12	,	,	PUNCT
ajase-5500	53	13	and	and	CCONJ
ajase-5500	53	14	other	other	ADJ
ajase-5500	53	15	atmospheric	atmospheric	ADJ
ajase-5500	53	16	variables	variable	NOUN
ajase-5500	53	17	.	.	PUNCT
ajase-5500	54	1	it	it	PRON
ajase-5500	54	2	plays	play	VERB
ajase-5500	54	3	a	a	DET
ajase-5500	54	4	critical	critical	ADJ
ajase-5500	54	5	role	role	NOUN
ajase-5500	54	6	in	in	ADP
ajase-5500	54	7	understanding	understand	VERB
ajase-5500	54	8	climate	climate	NOUN
ajase-5500	54	9	change	change	NOUN
ajase-5500	54	10	,	,	PUNCT
ajase-5500	54	11	assessing	assess	VERB
ajase-5500	54	12	impacts	impact	NOUN
ajase-5500	54	13	,	,	PUNCT
ajase-5500	54	14	and	and	CCONJ
ajase-5500	54	15	crafting	craft	VERB
ajase-5500	54	16	strategies	strategy	NOUN
ajase-5500	54	17	for	for	ADP
ajase-5500	54	18	adaptation	adaptation	NOUN
ajase-5500	54	19	and	and	CCONJ
ajase-5500	54	20	mitigation	mitigation	NOUN
ajase-5500	54	21	.	.	PUNCT
ajase-5500	55	1	examples	example	NOUN
ajase-5500	55	2	of	of	ADP
ajase-5500	55	3	climate	climate	NOUN
ajase-5500	55	4	data	datum	NOUN
ajase-5500	55	5	include	include	VERB
ajase-5500	55	6	temperature	temperature	NOUN
ajase-5500	55	7	,	,	PUNCT
ajase-5500	55	8	precipitation	precipitation	NOUN
ajase-5500	55	9	,	,	PUNCT
ajase-5500	55	10	wind	wind	NOUN
ajase-5500	55	11	speed	speed	NOUN
ajase-5500	55	12	,	,	PUNCT
ajase-5500	55	13	humidity	humidity	NOUN
ajase-5500	55	14	,	,	PUNCT
ajase-5500	55	15	and	and	CCONJ
ajase-5500	55	16	atmospheric	atmospheric	ADJ
ajase-5500	55	17	pressure	pressure	NOUN
ajase-5500	55	18	(	(	PUNCT
ajase-5500	55	19	mustapha	mustapha	PROPN
ajase-5500	55	20	,	,	PUNCT
ajase-5500	55	21	2025	2025	NUM
ajase-5500	55	22	)	)	PUNCT
ajase-5500	55	23	.	.	PUNCT
ajase-5500	56	1	globally	globally	ADV
ajase-5500	56	2	,	,	PUNCT
ajase-5500	56	3	temperature	temperature	NOUN
ajase-5500	56	4	is	be	AUX
ajase-5500	56	5	considered	consider	VERB
ajase-5500	56	6	an	an	DET
ajase-5500	56	7	important	important	ADJ
ajase-5500	56	8	variable	variable	NOUN
ajase-5500	56	9	within	within	ADP
ajase-5500	56	10	the	the	DET
ajase-5500	56	11	climate	climate	NOUN
ajase-5500	56	12	system	system	NOUN
ajase-5500	56	13	and	and	CCONJ
ajase-5500	56	14	it	it	PRON
ajase-5500	56	15	is	be	AUX
ajase-5500	56	16	chosen	choose	VERB
ajase-5500	56	17	as	as	ADP
ajase-5500	56	18	one	one	NUM
ajase-5500	56	19	of	of	ADP
ajase-5500	56	20	the	the	DET
ajase-5500	56	21	standard	standard	ADJ
ajase-5500	56	22	variables	variable	NOUN
ajase-5500	56	23	for	for	ADP
ajase-5500	56	24	analysis	analysis	NOUN
ajase-5500	56	25	(	(	PUNCT
ajase-5500	56	26	kajtar	kajtar	NOUN
ajase-5500	56	27	,	,	PUNCT
ajase-5500	56	28	2002	2002	NUM
ajase-5500	56	29	;	;	PUNCT
ajase-5500	56	30	ragatoa	ragatoa	VERB
ajase-5500	56	31	,	,	PUNCT
ajase-5500	56	32	2018	2018	NUM
ajase-5500	56	33	)	)	PUNCT
ajase-5500	56	34	.	.	PUNCT
ajase-5500	57	1	temperature	temperature	NOUN
ajase-5500	57	2	variability	variability	NOUN
ajase-5500	57	3	may	may	AUX
ajase-5500	57	4	lead	lead	VERB
ajase-5500	57	5	to	to	ADP
ajase-5500	57	6	a	a	DET
ajase-5500	57	7	rise	rise	NOUN
ajase-5500	57	8	in	in	ADP
ajase-5500	57	9	the	the	DET
ajase-5500	57	10	frequency	frequency	NOUN
ajase-5500	57	11	,	,	PUNCT
ajase-5500	57	12	magnitude	magnitude	NOUN
ajase-5500	57	13	and	and	CCONJ
ajase-5500	57	14	seasonality	seasonality	NOUN
ajase-5500	57	15	of	of	ADP
ajase-5500	57	16	extreme	extreme	ADJ
ajase-5500	57	17	events	event	NOUN
ajase-5500	57	18	which	which	PRON
ajase-5500	57	19	are	be	AUX
ajase-5500	57	20	likely	likely	ADJ
ajase-5500	57	21	to	to	PART
ajase-5500	57	22	happen	happen	VERB
ajase-5500	57	23	in	in	ADP
ajase-5500	57	24	the	the	DET
ajase-5500	57	25	future	future	NOUN
ajase-5500	57	26	(	(	PUNCT
ajase-5500	57	27	van	van	PROPN
ajase-5500	57	28	der	der	PROPN
ajase-5500	57	29	wiel	wiel	PROPN
ajase-5500	57	30	&	&	CCONJ
ajase-5500	57	31	bintanja	bintanja	NOUN
ajase-5500	57	32	,	,	PUNCT
ajase-5500	57	33	2021	2021	NUM
ajase-5500	57	34	)	)	PUNCT
ajase-5500	57	35	.	.	PUNCT
ajase-5500	58	1	temperature	temperature	NOUN
ajase-5500	58	2	indices	index	NOUN
ajase-5500	58	3	are	be	AUX
ajase-5500	58	4	essential	essential	ADJ
ajase-5500	58	5	indicators	indicator	NOUN
ajase-5500	58	6	used	use	VERB
ajase-5500	58	7	for	for	ADP
ajase-5500	58	8	monitoring	monitor	VERB
ajase-5500	58	9	and	and	CCONJ
ajase-5500	58	10	detecting	detect	VERB
ajase-5500	58	11	variability	variability	NOUN
ajase-5500	58	12	(	(	PUNCT
ajase-5500	58	13	qaisrani	qaisrani	NOUN
ajase-5500	58	14	,	,	PUNCT
ajase-5500	58	15	2021	2021	NUM
ajase-5500	58	16	)	)	PUNCT
ajase-5500	58	17	.	.	PUNCT
ajase-5500	59	1	humidity	humidity	NOUN
ajase-5500	59	2	describes	describe	VERB
ajase-5500	59	3	the	the	DET
ajase-5500	59	4	amount	amount	NOUN
ajase-5500	59	5	of	of	ADP
ajase-5500	59	6	water	water	NOUN
ajase-5500	59	7	vapor	vapor	NOUN
ajase-5500	59	8	in	in	ADP
ajase-5500	59	9	the	the	DET
ajase-5500	59	10	air	air	NOUN
ajase-5500	59	11	,	,	PUNCT
ajase-5500	59	12	and	and	CCONJ
ajase-5500	59	13	the	the	DET
ajase-5500	59	14	more	more	ADJ
ajase-5500	59	15	water	water	NOUN
ajase-5500	59	16	vapor	vapor	NOUN
ajase-5500	59	17	that	that	PRON
ajase-5500	59	18	is	be	AUX
ajase-5500	59	19	present	present	ADJ
ajase-5500	59	20	,	,	PUNCT
ajase-5500	59	21	the	the	DET
ajase-5500	59	22	more	more	ADJ
ajase-5500	59	23	humid	humid	NOUN
ajase-5500	59	24	it	it	PRON
ajase-5500	59	25	is	be	AUX
ajase-5500	59	26	.	.	PUNCT
ajase-5500	60	1	most	most	ADJ
ajase-5500	60	2	weather	weather	NOUN
ajase-5500	60	3	reports	report	NOUN
ajase-5500	60	4	do	do	AUX
ajase-5500	60	5	n’t	not	PART
ajase-5500	60	6	tell	tell	VERB
ajase-5500	60	7	you	you	PRON
ajase-5500	60	8	the	the	DET
ajase-5500	60	9	humidity	humidity	NOUN
ajase-5500	60	10	,	,	PUNCT
ajase-5500	60	11	though	though	ADV
ajase-5500	60	12	,	,	PUNCT
ajase-5500	60	13	because	because	SCONJ
ajase-5500	60	14	the	the	DET
ajase-5500	60	15	relative	relative	ADJ
ajase-5500	60	16	humidity	humidity	NOUN
ajase-5500	60	17	is	be	AUX
ajase-5500	60	18	more	more	ADV
ajase-5500	60	19	relevant	relevant	ADJ
ajase-5500	60	20	.	.	PUNCT
ajase-5500	61	1	this	this	PRON
ajase-5500	61	2	is	be	AUX
ajase-5500	61	3	the	the	DET
ajase-5500	61	4	amount	amount	NOUN
ajase-5500	61	5	of	of	ADP
ajase-5500	61	6	water	water	NOUN
ajase-5500	61	7	vapor	vapor	NOUN
ajase-5500	61	8	in	in	ADP
ajase-5500	61	9	the	the	DET
ajase-5500	61	10	air	air	NOUN
ajase-5500	61	11	relative	relative	ADJ
ajase-5500	61	12	to	to	ADP
ajase-5500	61	13	what	what	PRON
ajase-5500	61	14	the	the	DET
ajase-5500	61	15	air	air	NOUN
ajase-5500	61	16	can	can	AUX
ajase-5500	61	17	hold	hold	VERB
ajase-5500	61	18	.	.	PUNCT
ajase-5500	62	1	modelling	model	VERB
ajase-5500	62	2	humidity	humidity	NOUN
ajase-5500	62	3	involves	involve	VERB
ajase-5500	62	4	simulating	simulate	VERB
ajase-5500	62	5	and	and	CCONJ
ajase-5500	62	6	predicting	predict	VERB
ajase-5500	62	7	moisture	moisture	NOUN
ajase-5500	62	8	content	content	NOUN
ajase-5500	62	9	in	in	ADP
ajase-5500	62	10	different	different	ADJ
ajase-5500	62	11	environments	environment	NOUN
ajase-5500	62	12	.	.	PUNCT
ajase-5500	63	1	the	the	DET
ajase-5500	63	2	concept	concept	NOUN
ajase-5500	63	3	scientifically	scientifically	ADV
ajase-5500	63	4	refers	refer	VERB
ajase-5500	63	5	to	to	ADP
ajase-5500	63	6	the	the	DET
ajase-5500	63	7	actual	actual	ADJ
ajase-5500	63	8	moisture	moisture	NOUN
ajase-5500	63	9	content	content	NOUN
ajase-5500	63	10	of	of	ADP
ajase-5500	63	11	a	a	DET
ajase-5500	63	12	sample	sample	NOUN
ajase-5500	63	13	of	of	ADP
ajase-5500	63	14	air	air	NOUN
ajase-5500	63	15	expressed	express	VERB
ajase-5500	63	16	as	as	ADP
ajase-5500	63	17	a	a	DET
ajase-5500	63	18	percentage	percentage	NOUN
ajase-5500	63	19	of	of	ADP
ajase-5500	63	20	that	that	PRON
ajase-5500	63	21	contained	contain	VERB
ajase-5500	63	22	in	in	ADP
ajase-5500	63	23	the	the	DET
ajase-5500	63	24	same	same	ADJ
ajase-5500	63	25	volume	volume	NOUN
ajase-5500	63	26	of	of	ADP
ajase-5500	63	27	saturated	saturate	VERB
ajase-5500	63	28	air	air	NOUN
ajase-5500	63	29	at	at	ADP
ajase-5500	63	30	the	the	DET
ajase-5500	63	31	same	same	ADJ
ajase-5500	63	32	temperature	temperature	NOUN
ajase-5500	63	33	(	(	PUNCT
ajase-5500	63	34	oyediran	oyediran	ADJ
ajase-5500	63	35	,	,	PUNCT
ajase-5500	63	36	1977	1977	NUM
ajase-5500	63	37	;	;	PUNCT
ajase-5500	63	38	okhakhu	okhakhu	NOUN
ajase-5500	63	39	,	,	PUNCT
ajase-5500	63	40	2010	2010	NUM
ajase-5500	63	41	)	)	PUNCT
ajase-5500	63	42	.	.	PUNCT
ajase-5500	64	1	inferentially	inferentially	ADV
ajase-5500	64	2	,	,	PUNCT
ajase-5500	64	3	therefore	therefore	ADV
ajase-5500	64	4	,	,	PUNCT
ajase-5500	64	5	relative	relative	ADJ
ajase-5500	64	6	humidity	humidity	NOUN
ajase-5500	64	7	is	be	AUX
ajase-5500	64	8	the	the	DET
ajase-5500	64	9	positive	positive	ADJ
ajase-5500	64	10	result	result	NOUN
ajase-5500	64	11	of	of	ADP
ajase-5500	64	12	the	the	DET
ajase-5500	64	13	combined	combine	VERB
ajase-5500	64	14	processes	process	NOUN
ajase-5500	64	15	of	of	ADP
ajase-5500	64	16	surface	surface	NOUN
ajase-5500	64	17	evaporation	evaporation	NOUN
ajase-5500	64	18	and	and	CCONJ
ajase-5500	64	19	vegetal	vegetal	ADJ
ajase-5500	64	20	transpiration	transpiration	NOUN
ajase-5500	64	21	which	which	PRON
ajase-5500	64	22	occur	occur	VERB
ajase-5500	64	23	on	on	ADP
ajase-5500	64	24	the	the	DET
ajase-5500	64	25	environment	environment	NOUN
ajase-5500	64	26	to	to	PART
ajase-5500	64	27	produce	produce	VERB
ajase-5500	64	28	abundant	abundant	ADJ
ajase-5500	64	29	clouds	cloud	NOUN
ajase-5500	64	30	of	of	ADP
ajase-5500	64	31	ascent	ascent	ADJ
ajase-5500	64	32	moisture	moisture	NOUN
ajase-5500	64	33	.	.	PUNCT
ajase-5500	65	1	the	the	DET
ajase-5500	65	2	water	water	NOUN
ajase-5500	65	3	vapour	vapour	NOUN
ajase-5500	65	4	content	content	NOUN
ajase-5500	65	5	of	of	ADP
ajase-5500	65	6	the	the	DET
ajase-5500	65	7	atmosphere	atmosphere	NOUN
ajase-5500	65	8	is	be	AUX
ajase-5500	65	9	significant	significant	ADJ
ajase-5500	65	10	in	in	ADP
ajase-5500	65	11	modern	modern	ADJ
ajase-5500	65	12	climatic	climatic	ADJ
ajase-5500	65	13	studies	study	NOUN
ajase-5500	65	14	for	for	ADP
ajase-5500	65	15	a	a	DET
ajase-5500	65	16	number	number	NOUN
ajase-5500	65	17	of	of	ADP
ajase-5500	65	18	reasons	reason	NOUN
ajase-5500	65	19	,	,	PUNCT
ajase-5500	65	20	namely	namely	ADV
ajase-5500	65	21	,	,	PUNCT
ajase-5500	65	22	it	it	PRON
ajase-5500	65	23	serves	serve	VERB
ajase-5500	65	24	as	as	ADP
ajase-5500	65	25	the	the	DET
ajase-5500	65	26	main	main	ADJ
ajase-5500	65	27	source	source	NOUN
ajase-5500	65	28	of	of	ADP
ajase-5500	65	29	all	all	DET
ajase-5500	65	30	forms	form	NOUN
ajase-5500	65	31	of	of	ADP
ajase-5500	65	32	condensation	condensation	NOUN
ajase-5500	65	33	and	and	CCONJ
ajase-5500	65	34	precipitation	precipitation	NOUN
ajase-5500	65	35	across	across	ADP
ajase-5500	65	36	the	the	DET
ajase-5500	65	37	universe	universe	NOUN
ajase-5500	65	38	(	(	PUNCT
ajase-5500	65	39	adams	adams	PROPN
ajase-5500	65	40	&	&	CCONJ
ajase-5500	65	41	bamanga	bamanga	PROPN
ajase-5500	65	42	,	,	PUNCT
ajase-5500	65	43	2020	2020	NUM
ajase-5500	65	44	)	)	PUNCT
ajase-5500	65	45	.	.	PUNCT
ajase-5500	66	1	it	it	PRON
ajase-5500	66	2	absorbs	absorb	VERB
ajase-5500	66	3	both	both	CCONJ
ajase-5500	66	4	the	the	DET
ajase-5500	66	5	solar	solar	ADJ
ajase-5500	66	6	and	and	CCONJ
ajase-5500	66	7	terrestrial	terrestrial	ADJ
ajase-5500	66	8	radiation	radiation	NOUN
ajase-5500	66	9	and	and	CCONJ
ajase-5500	66	10	plays	play	VERB
ajase-5500	66	11	the	the	DET
ajase-5500	66	12	role	role	NOUN
ajase-5500	66	13	of	of	ADP
ajase-5500	66	14	heat	heat	NOUN
ajase-5500	66	15	regulator	regulator	NOUN
ajase-5500	66	16	within	within	ADP
ajase-5500	66	17	the	the	DET
ajase-5500	66	18	earth	earth	NOUN
ajase-5500	66	19	-	-	PUNCT
ajase-5500	66	20	atmosphere	atmosphere	NOUN
ajase-5500	66	21	realm	realm	NOUN
ajase-5500	66	22	,	,	PUNCT
ajase-5500	66	23	it	it	PRON
ajase-5500	66	24	influences	influence	VERB
ajase-5500	66	25	the	the	DET
ajase-5500	66	26	rates	rate	NOUN
ajase-5500	66	27	of	of	ADP
ajase-5500	66	28	evaporation	evaporation	NOUN
ajase-5500	66	29	and	and	CCONJ
ajase-5500	66	30	evapotranspiration	evapotranspiration	NOUN
ajase-5500	66	31	on	on	ADP
ajase-5500	66	32	the	the	DET
ajase-5500	66	33	earth	earth	NOUN
ajase-5500	66	34	’s	’s	PART
ajase-5500	66	35	surface	surface	NOUN
ajase-5500	66	36	,	,	PUNCT
ajase-5500	66	37	it	it	PRON
ajase-5500	66	38	could	could	AUX
ajase-5500	66	39	be	be	AUX
ajase-5500	66	40	changed	change	VERB
ajase-5500	66	41	into	into	ADP
ajase-5500	66	42	liquid	liquid	ADJ
ajase-5500	66	43	or	or	CCONJ
ajase-5500	66	44	solid	solid	ADJ
ajase-5500	66	45	form	form	NOUN
ajase-5500	66	46	;	;	PUNCT
ajase-5500	66	47	it	it	PRON
ajase-5500	66	48	releases	release	VERB
ajase-5500	66	49	latent	latent	ADJ
ajase-5500	66	50	heat	heat	NOUN
ajase-5500	66	51	which	which	PRON
ajase-5500	66	52	is	be	AUX
ajase-5500	66	53	the	the	DET
ajase-5500	66	54	direct	direct	ADJ
ajase-5500	66	55	source	source	NOUN
ajase-5500	66	56	of	of	ADP
ajase-5500	66	57	energy	energy	NOUN
ajase-5500	66	58	required	require	VERB
ajase-5500	66	59	to	to	PART
ajase-5500	66	60	propel	propel	VERB
ajase-5500	66	61	the	the	DET
ajase-5500	66	62	circulation	circulation	NOUN
ajase-5500	66	63	of	of	ADP
ajase-5500	66	64	the	the	DET
ajase-5500	66	65	earth	earth	NOUN
ajase-5500	66	66	’s	’s	PART
ajase-5500	66	67	atmosphere	atmosphere	NOUN
ajase-5500	66	68	and	and	CCONJ
ajase-5500	66	69	development	development	NOUN
ajase-5500	66	70	of	of	ADP
ajase-5500	66	71	atmospheric	atmospheric	ADJ
ajase-5500	66	72	turbulence	turbulence	NOUN
ajase-5500	66	73	,	,	PUNCT
ajase-5500	66	74	it	it	PRON
ajase-5500	66	75	influences	influence	VERB
ajase-5500	66	76	the	the	DET
ajase-5500	66	77	temperature	temperature	NOUN
ajase-5500	66	78	which	which	PRON
ajase-5500	66	79	is	be	AUX
ajase-5500	66	80	sensed	sense	VERB
ajase-5500	66	81	by	by	ADP
ajase-5500	66	82	the	the	DET
ajase-5500	66	83	human	human	ADJ
ajase-5500	66	84	skin	skin	NOUN
ajase-5500	66	85	thereby	thereby	ADV
ajase-5500	66	86	determining	determine	VERB
ajase-5500	66	87	the	the	DET
ajase-5500	66	88	physical	physical	ADJ
ajase-5500	66	89	and	and	CCONJ
ajase-5500	66	90	physiological	physiological	ADJ
ajase-5500	66	91	comfort	comfort	NOUN
ajase-5500	66	92	of	of	ADP
ajase-5500	66	93	the	the	DET
ajase-5500	66	94	human	human	ADJ
ajase-5500	66	95	body	body	NOUN
ajase-5500	66	96	;	;	PUNCT
ajase-5500	66	97	finally	finally	ADV
ajase-5500	66	98	,	,	PUNCT
ajase-5500	66	99	the	the	DET
ajase-5500	66	100	vapour	vapour	NOUN
ajase-5500	66	101	content	content	NOUN
ajase-5500	66	102	determines	determine	VERB
ajase-5500	66	103	the	the	DET
ajase-5500	66	104	stability	stability	NOUN
ajase-5500	66	105	of	of	ADP
ajase-5500	66	106	air	air	NOUN
ajase-5500	66	107	in	in	ADP
ajase-5500	66	108	a	a	DET
ajase-5500	66	109	selected	select	VERB
ajase-5500	66	110	settlement	settlement	NOUN
ajase-5500	66	111	.	.	PUNCT
ajase-5500	67	1	atmospheric	atmospheric	ADJ
ajase-5500	67	2	pressure	pressure	NOUN
ajase-5500	67	3	,	,	PUNCT
ajase-5500	67	4	also	also	ADV
ajase-5500	67	5	known	know	VERB
ajase-5500	67	6	as	as	ADP
ajase-5500	67	7	air	air	NOUN
ajase-5500	67	8	pressure	pressure	NOUN
ajase-5500	67	9	or	or	CCONJ
ajase-5500	67	10	barometric	barometric	ADJ
ajase-5500	67	11	pressure	pressure	NOUN
ajase-5500	67	12	(	(	PUNCT
ajase-5500	67	13	after	after	ADP
ajase-5500	67	14	the	the	DET
ajase-5500	67	15	barometer	barometer	NOUN
ajase-5500	67	16	)	)	PUNCT
ajase-5500	67	17	,	,	PUNCT
ajase-5500	67	18	is	be	AUX
ajase-5500	67	19	the	the	DET
ajase-5500	67	20	pressure	pressure	NOUN
ajase-5500	67	21	within	within	ADP
ajase-5500	67	22	the	the	DET
ajase-5500	67	23	atmosphere	atmosphere	NOUN
ajase-5500	67	24	of	of	ADP
ajase-5500	67	25	earth	earth	NOUN
ajase-5500	67	26	.	.	PUNCT
ajase-5500	68	1	the	the	DET
ajase-5500	68	2	pa	pa	PROPN
ajase-5500	68	3	ge	ge	PROPN
ajase-5500	68	4	72	72	NUM
ajase-5500	68	5	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	68	6	am	be	AUX
ajase-5500	68	7	.	.	PUNCT
ajase-5500	69	1	j.	j.	PROPN
ajase-5500	69	2	appl	appl	PROPN
ajase-5500	69	3	.	.	PROPN
ajase-5500	70	1	stat	stat	PROPN
ajase-5500	70	2	.	.	PUNCT
ajase-5500	71	1	econ	econ	PROPN
ajase-5500	71	2	.	.	PUNCT
ajase-5500	72	1	4(1	4(1	X
ajase-5500	72	2	)	)	PUNCT
ajase-5500	73	1	70	70	NUM
ajase-5500	73	2	-	-	SYM
ajase-5500	73	3	79	79	NUM
ajase-5500	73	4	,	,	PUNCT
ajase-5500	73	5	2025	2025	NUM
ajase-5500	73	6	standard	standard	ADJ
ajase-5500	73	7	atmosphere	atmosphere	NOUN
ajase-5500	73	8	(	(	PUNCT
ajase-5500	73	9	symbol	symbol	NOUN
ajase-5500	73	10	:	:	PUNCT
ajase-5500	73	11	atm	atm	X
ajase-5500	73	12	)	)	PUNCT
ajase-5500	73	13	is	be	AUX
ajase-5500	73	14	a	a	DET
ajase-5500	73	15	unit	unit	NOUN
ajase-5500	73	16	of	of	ADP
ajase-5500	73	17	pressure	pressure	NOUN
ajase-5500	73	18	defined	define	VERB
ajase-5500	73	19	as	as	ADP
ajase-5500	73	20	101,325	101,325	NUM
ajase-5500	73	21	pa	pa	PROPN
ajase-5500	73	22	(	(	PUNCT
ajase-5500	73	23	1,013.25	1,013.25	NUM
ajase-5500	73	24	hpa	hpa	NOUN
ajase-5500	73	25	)	)	PUNCT
ajase-5500	73	26	,	,	PUNCT
ajase-5500	73	27	which	which	PRON
ajase-5500	73	28	is	be	AUX
ajase-5500	73	29	equivalent	equivalent	ADJ
ajase-5500	73	30	to	to	ADP
ajase-5500	73	31	1,013.25	1,013.25	NUM
ajase-5500	73	32	millibars	millibar	NOUN
ajase-5500	73	33	,	,	PUNCT
ajase-5500	73	34	760	760	NUM
ajase-5500	73	35	mm	mm	NUM
ajase-5500	73	36	hg	hg	NOUN
ajase-5500	73	37	,	,	PUNCT
ajase-5500	73	38	29.9212	29.9212	NUM
ajase-5500	73	39	inches	inch	NOUN
ajase-5500	73	40	hg	hg	ADP
ajase-5500	73	41	,	,	PUNCT
ajase-5500	73	42	or	or	CCONJ
ajase-5500	73	43	14.696	14.696	NUM
ajase-5500	73	44	psi	psi	NOUN
ajase-5500	73	45	.	.	PUNCT
ajase-5500	74	1	(	(	PUNCT
ajase-5500	74	2	icao	icao	PROPN
ajase-5500	74	3	,	,	PUNCT
ajase-5500	74	4	1993	1993	NUM
ajase-5500	74	5	)	)	PUNCT
ajase-5500	74	6	.	.	PUNCT
ajase-5500	75	1	previous	previous	ADJ
ajase-5500	75	2	studies	study	NOUN
ajase-5500	75	3	suggested	suggest	VERB
ajase-5500	75	4	that	that	SCONJ
ajase-5500	75	5	land	land	NOUN
ajase-5500	75	6	surface	surface	NOUN
ajase-5500	75	7	temperature	temperature	NOUN
ajase-5500	75	8	(	(	PUNCT
ajase-5500	75	9	lst	lst	NOUN
ajase-5500	75	10	)	)	PUNCT
ajase-5500	75	11	has	have	VERB
ajase-5500	75	12	a	a	DET
ajase-5500	75	13	high	high	ADJ
ajase-5500	75	14	correlation	correlation	NOUN
ajase-5500	75	15	with	with	ADP
ajase-5500	75	16	sat	sit	VERB
ajase-5500	75	17	,	,	PUNCT
ajase-5500	75	18	estimating	estimate	VERB
ajase-5500	75	19	it	it	PRON
ajase-5500	75	20	from	from	ADP
ajase-5500	75	21	lst	lst	NOUN
ajase-5500	75	22	and	and	CCONJ
ajase-5500	75	23	spectral	spectral	ADJ
ajase-5500	75	24	vegetation	vegetation	NOUN
ajase-5500	75	25	index	index	NOUN
ajase-5500	75	26	measurements	measurement	NOUN
ajase-5500	75	27	(	(	PUNCT
ajase-5500	75	28	svi	svi	ADJ
ajase-5500	75	29	)	)	PUNCT
ajase-5500	75	30	(	(	PUNCT
ajase-5500	75	31	khesali	khesali	PROPN
ajase-5500	75	32	&	&	CCONJ
ajase-5500	75	33	mobasheri	mobasheri	PROPN
ajase-5500	75	34	,	,	PUNCT
ajase-5500	75	35	2023	2023	NUM
ajase-5500	75	36	;	;	PUNCT
ajase-5500	75	37	nieto	nieto	PROPN
ajase-5500	75	38	,	,	PUNCT
ajase-5500	75	39	2011	2011	NUM
ajase-5500	75	40	;	;	PUNCT
ajase-5500	75	41	prihodko	prihodko	NOUN
ajase-5500	75	42	&	&	CCONJ
ajase-5500	75	43	goward	goward	PROPN
ajase-5500	75	44	,	,	PUNCT
ajase-5500	75	45	1997	1997	NUM
ajase-5500	75	46	)	)	PUNCT
ajase-5500	75	47	.	.	PUNCT
ajase-5500	76	1	other	other	ADJ
ajase-5500	76	2	studies	study	NOUN
ajase-5500	76	3	found	find	VERB
ajase-5500	76	4	that	that	SCONJ
ajase-5500	76	5	,	,	PUNCT
ajase-5500	76	6	although	although	SCONJ
ajase-5500	76	7	sat	sit	VERB
ajase-5500	76	8	is	be	AUX
ajase-5500	76	9	mainly	mainly	ADV
ajase-5500	76	10	related	relate	VERB
ajase-5500	76	11	to	to	PART
ajase-5500	76	12	lst	lst	VERB
ajase-5500	76	13	,	,	PUNCT
ajase-5500	76	14	it	it	PRON
ajase-5500	76	15	is	be	AUX
ajase-5500	76	16	also	also	ADV
ajase-5500	76	17	related	relate	VERB
ajase-5500	76	18	to	to	ADP
ajase-5500	76	19	geographical	geographical	ADJ
ajase-5500	76	20	and	and	CCONJ
ajase-5500	76	21	meteorological	meteorological	ADJ
ajase-5500	76	22	parameters	parameter	NOUN
ajase-5500	76	23	(	(	PUNCT
ajase-5500	76	24	cristóbal	cristóbal	ADJ
ajase-5500	76	25	,	,	PUNCT
ajase-5500	76	26	2008	2008	NUM
ajase-5500	76	27	;	;	PUNCT
ajase-5500	76	28	ninyerola	ninyerola	NOUN
ajase-5500	76	29	,	,	PUNCT
ajase-5500	76	30	2007	2007	NUM
ajase-5500	76	31	)	)	PUNCT
ajase-5500	76	32	.	.	PUNCT
ajase-5500	77	1	thus	thus	ADV
ajase-5500	77	2	,	,	PUNCT
ajase-5500	77	3	adding	add	VERB
ajase-5500	77	4	more	more	ADJ
ajase-5500	77	5	parameters	parameter	NOUN
ajase-5500	77	6	results	result	VERB
ajase-5500	77	7	in	in	ADP
ajase-5500	77	8	an	an	DET
ajase-5500	77	9	improvement	improvement	NOUN
ajase-5500	77	10	on	on	ADP
ajase-5500	77	11	the	the	DET
ajase-5500	77	12	sat	sit	VERB
ajase-5500	77	13	retrieval	retrieval	NOUN
ajase-5500	77	14	(	(	PUNCT
ajase-5500	77	15	cristóbal	cristóbal	ADJ
ajase-5500	77	16	,	,	PUNCT
ajase-5500	77	17	2008	2008	NUM
ajase-5500	77	18	;	;	PUNCT
ajase-5500	77	19	niclos	niclo	NOUN
ajase-5500	77	20	,	,	PUNCT
ajase-5500	77	21	2014	2014	NUM
ajase-5500	77	22	)	)	PUNCT
ajase-5500	77	23	.	.	PUNCT
ajase-5500	78	1	rainfall	rainfall	NOUN
ajase-5500	78	2	is	be	AUX
ajase-5500	78	3	the	the	DET
ajase-5500	78	4	major	major	ADJ
ajase-5500	78	5	climate	climate	NOUN
ajase-5500	78	6	resources	resource	NOUN
ajase-5500	78	7	that	that	PRON
ajase-5500	78	8	can	can	AUX
ajase-5500	78	9	be	be	AUX
ajase-5500	78	10	used	use	VERB
ajase-5500	78	11	as	as	ADP
ajase-5500	78	12	an	an	DET
ajase-5500	78	13	index	index	NOUN
ajase-5500	78	14	of	of	ADP
ajase-5500	78	15	climate	climate	NOUN
ajase-5500	78	16	change	change	NOUN
ajase-5500	78	17	.	.	PUNCT
ajase-5500	79	1	rainfall	rainfall	NOUN
ajase-5500	79	2	is	be	AUX
ajase-5500	79	3	the	the	DET
ajase-5500	79	4	most	most	ADV
ajase-5500	79	5	essential	essential	ADJ
ajase-5500	79	6	aspect	aspect	NOUN
ajase-5500	79	7	in	in	ADP
ajase-5500	79	8	a	a	DET
ajase-5500	79	9	farming	farming	NOUN
ajase-5500	79	10	system	system	NOUN
ajase-5500	79	11	as	as	SCONJ
ajase-5500	79	12	it	it	PRON
ajase-5500	79	13	determines	determine	VERB
ajase-5500	79	14	the	the	DET
ajase-5500	79	15	accessibility	accessibility	NOUN
ajase-5500	79	16	of	of	ADP
ajase-5500	79	17	soil	soil	NOUN
ajase-5500	79	18	needed	need	VERB
ajase-5500	79	19	for	for	ADP
ajase-5500	79	20	maximum	maximum	ADJ
ajase-5500	79	21	yield	yield	NOUN
ajase-5500	79	22	(	(	PUNCT
ajase-5500	79	23	niles	nile	NOUN
ajase-5500	79	24	,	,	PUNCT
ajase-5500	79	25	2016	2016	NUM
ajase-5500	79	26	)	)	PUNCT
ajase-5500	79	27	.	.	PUNCT
ajase-5500	80	1	ismail	ismail	PROPN
ajase-5500	80	2	&	&	CCONJ
ajase-5500	80	3	oke	oke	PROPN
ajase-5500	80	4	(	(	PUNCT
ajase-5500	80	5	2012	2012	NUM
ajase-5500	80	6	)	)	PUNCT
ajase-5500	80	7	and	and	CCONJ
ajase-5500	80	8	adams	adams	PROPN
ajase-5500	80	9	(	(	PUNCT
ajase-5500	80	10	2019	2019	NUM
ajase-5500	80	11	)	)	PUNCT
ajase-5500	80	12	believes	believe	VERB
ajase-5500	80	13	that	that	SCONJ
ajase-5500	80	14	crops	crop	NOUN
ajase-5500	80	15	,	,	PUNCT
ajase-5500	80	16	animals	animal	NOUN
ajase-5500	80	17	and	and	CCONJ
ajase-5500	80	18	humans	human	NOUN
ajase-5500	80	19	derived	derive	VERB
ajase-5500	80	20	their	their	PRON
ajase-5500	80	21	water	water	NOUN
ajase-5500	80	22	resources	resource	NOUN
ajase-5500	80	23	mainly	mainly	ADV
ajase-5500	80	24	from	from	ADP
ajase-5500	80	25	it	it	PRON
ajase-5500	80	26	and	and	CCONJ
ajase-5500	80	27	irrigation	irrigation	NOUN
ajase-5500	80	28	scheduling	scheduling	NOUN
ajase-5500	80	29	depends	depend	VERB
ajase-5500	80	30	on	on	ADP
ajase-5500	80	31	the	the	DET
ajase-5500	80	32	correct	correct	ADJ
ajase-5500	80	33	estimation	estimation	NOUN
ajase-5500	80	34	of	of	ADP
ajase-5500	80	35	the	the	DET
ajase-5500	80	36	spatial	spatial	ADJ
ajase-5500	80	37	distribution	distribution	NOUN
ajase-5500	80	38	of	of	ADP
ajase-5500	80	39	rainfall	rainfall	NOUN
ajase-5500	80	40	and	and	CCONJ
ajase-5500	80	41	it	it	PRON
ajase-5500	80	42	also	also	ADV
ajase-5500	80	43	determines	determine	VERB
ajase-5500	80	44	the	the	DET
ajase-5500	80	45	time	time	NOUN
ajase-5500	80	46	in	in	ADP
ajase-5500	80	47	which	which	PRON
ajase-5500	80	48	some	some	DET
ajase-5500	80	49	crops	crop	NOUN
ajase-5500	80	50	types	type	NOUN
ajase-5500	80	51	can	can	AUX
ajase-5500	80	52	be	be	AUX
ajase-5500	80	53	cultivated	cultivate	VERB
ajase-5500	80	54	and	and	CCONJ
ajase-5500	80	55	the	the	DET
ajase-5500	80	56	appropriate	appropriate	ADJ
ajase-5500	80	57	farming	farming	NOUN
ajase-5500	80	58	system	system	NOUN
ajase-5500	80	59	for	for	ADP
ajase-5500	80	60	optimum	optimum	ADJ
ajase-5500	80	61	yields	yield	NOUN
ajase-5500	80	62	.	.	PUNCT
ajase-5500	81	1	according	accord	VERB
ajase-5500	81	2	to	to	ADP
ajase-5500	81	3	the	the	DET
ajase-5500	81	4	5th	5th	ADJ
ajase-5500	81	5	assessment	assessment	NOUN
ajase-5500	81	6	report	report	NOUN
ajase-5500	81	7	(	(	PUNCT
ajase-5500	81	8	ar5	ar5	NOUN
ajase-5500	81	9	)	)	PUNCT
ajase-5500	81	10	of	of	ADP
ajase-5500	81	11	the	the	DET
ajase-5500	81	12	intergovernmental	intergovernmental	ADJ
ajase-5500	81	13	panel	panel	NOUN
ajase-5500	81	14	on	on	ADP
ajase-5500	81	15	climate	climate	NOUN
ajase-5500	81	16	change	change	NOUN
ajase-5500	81	17	(	(	PUNCT
ajase-5500	81	18	ipcc	ipcc	NOUN
ajase-5500	81	19	)	)	PUNCT
ajase-5500	81	20	,	,	PUNCT
ajase-5500	81	21	global	global	ADJ
ajase-5500	81	22	(	(	PUNCT
ajase-5500	81	23	land	land	NOUN
ajase-5500	81	24	and	and	CCONJ
ajase-5500	81	25	ocean	ocean	NOUN
ajase-5500	81	26	)	)	PUNCT
ajase-5500	81	27	average	average	ADJ
ajase-5500	81	28	temperature	temperature	NOUN
ajase-5500	81	29	has	have	AUX
ajase-5500	81	30	shown	show	VERB
ajase-5500	81	31	a	a	DET
ajase-5500	81	32	0.85	0.85	NUM
ajase-5500	81	33	°	°	NOUN
ajase-5500	81	34	c	c	NOUN
ajase-5500	81	35	(	(	PUNCT
ajase-5500	81	36	0.65–1.06	0.65–1.06	NOUN
ajase-5500	81	37	°	°	NOUN
ajase-5500	81	38	c	c	NOUN
ajase-5500	81	39	)	)	PUNCT
ajase-5500	81	40	increase	increase	NOUN
ajase-5500	81	41	over	over	ADP
ajase-5500	81	42	the	the	DET
ajase-5500	81	43	period	period	NOUN
ajase-5500	81	44	of	of	ADP
ajase-5500	81	45	1800	1800	NUM
ajase-5500	81	46	–	–	PUNCT
ajase-5500	81	47	2012	2012	NUM
ajase-5500	81	48	(	(	PUNCT
ajase-5500	81	49	ipcc	ipcc	NOUN
ajase-5500	81	50	,	,	PUNCT
ajase-5500	81	51	2013	2013	NUM
ajase-5500	81	52	)	)	PUNCT
ajase-5500	81	53	,	,	PUNCT
ajase-5500	81	54	and	and	CCONJ
ajase-5500	81	55	a	a	DET
ajase-5500	81	56	0.74	0.74	NUM
ajase-5500	81	57	±	±	NUM
ajase-5500	81	58	0.18	0.18	NUM
ajase-5500	81	59	°	°	PROPN
ajase-5500	81	60	c	c	NOUN
ajase-5500	81	61	increase	increase	NOUN
ajase-5500	81	62	during	during	ADP
ajase-5500	81	63	the	the	DET
ajase-5500	81	64	last	last	ADJ
ajase-5500	81	65	hundred	hundred	NUM
ajase-5500	81	66	years	year	NOUN
ajase-5500	81	67	(	(	PUNCT
ajase-5500	81	68	1906–2005	1906–2005	NUM
ajase-5500	81	69	)	)	PUNCT
ajase-5500	81	70	(	(	PUNCT
ajase-5500	81	71	ipcc	ipcc	NOUN
ajase-5500	81	72	,	,	PUNCT
ajase-5500	81	73	2007	2007	NUM
ajase-5500	81	74	)	)	PUNCT
ajase-5500	81	75	.	.	PUNCT
ajase-5500	82	1	this	this	DET
ajase-5500	82	2	trend	trend	NOUN
ajase-5500	82	3	in	in	ADP
ajase-5500	82	4	global	global	ADJ
ajase-5500	82	5	warming	warming	NOUN
ajase-5500	82	6	is	be	AUX
ajase-5500	82	7	predicted	predict	VERB
ajase-5500	82	8	to	to	PART
ajase-5500	82	9	likely	likely	ADV
ajase-5500	82	10	increase	increase	VERB
ajase-5500	82	11	during	during	ADP
ajase-5500	82	12	the	the	DET
ajase-5500	82	13	21st	21st	ADJ
ajase-5500	82	14	century	century	NOUN
ajase-5500	82	15	under	under	ADP
ajase-5500	82	16	all	all	DET
ajase-5500	82	17	the	the	DET
ajase-5500	82	18	representative	representative	ADJ
ajase-5500	82	19	concentration	concentration	NOUN
ajase-5500	82	20	pathways	pathway	NOUN
ajase-5500	82	21	(	(	PUNCT
ajase-5500	82	22	rcps	rcps	PROPN
ajase-5500	82	23	)	)	PUNCT
ajase-5500	82	24	.	.	PUNCT
ajase-5500	83	1	the	the	DET
ajase-5500	83	2	projected	project	VERB
ajase-5500	83	3	values	value	NOUN
ajase-5500	83	4	of	of	ADP
ajase-5500	83	5	increase	increase	NOUN
ajase-5500	83	6	are	be	AUX
ajase-5500	83	7	0.3–1.7	0.3–1.7	X
ajase-5500	84	1	°	°	NOUN
ajase-5500	84	2	c	c	X
ajase-5500	84	3	(	(	PUNCT
ajase-5500	84	4	rcp2.6	rcp2.6	PROPN
ajase-5500	84	5	)	)	PUNCT
ajase-5500	84	6	,	,	PUNCT
ajase-5500	84	7	1.1–2.6	1.1–2.6	X
ajase-5500	84	8	°	°	ADP
ajase-5500	84	9	c	c	X
ajase-5500	84	10	(	(	PUNCT
ajase-5500	84	11	rcp4.5	rcp4.5	PROPN
ajase-5500	84	12	)	)	PUNCT
ajase-5500	84	13	,	,	PUNCT
ajase-5500	84	14	1.4–3.1	1.4–3.1	NUM
ajase-5500	84	15	°	°	ADP
ajase-5500	84	16	c	c	PROPN
ajase-5500	84	17	(	(	PUNCT
ajase-5500	84	18	rcp6.0	rcp6.0	PROPN
ajase-5500	84	19	)	)	PUNCT
ajase-5500	84	20	,	,	PUNCT
ajase-5500	84	21	2.6–4.8	2.6–4.8	X
ajase-5500	85	1	°	°	ADP
ajase-5500	85	2	c	c	X
ajase-5500	85	3	(	(	PUNCT
ajase-5500	85	4	rcp8.5	rcp8.5	PROPN
ajase-5500	85	5	)	)	PUNCT
ajase-5500	85	6	for	for	ADP
ajase-5500	85	7	2081–2100	2081–2100	NUM
ajase-5500	85	8	,	,	PUNCT
ajase-5500	85	9	relative	relative	ADJ
ajase-5500	85	10	to	to	ADP
ajase-5500	85	11	1986–2005	1986–2005	NUM
ajase-5500	85	12	(	(	PUNCT
ajase-5500	85	13	ipcc	ipcc	NOUN
ajase-5500	85	14	,	,	PUNCT
ajase-5500	85	15	2013	2013	NUM
ajase-5500	85	16	)	)	PUNCT
ajase-5500	85	17	.	.	PUNCT
ajase-5500	86	1	such	such	ADJ
ajase-5500	86	2	changes	change	NOUN
ajase-5500	86	3	in	in	ADP
ajase-5500	86	4	global	global	ADJ
ajase-5500	86	5	mean	mean	NOUN
ajase-5500	86	6	temperature	temperature	NOUN
ajase-5500	86	7	can	can	AUX
ajase-5500	86	8	radically	radically	ADV
ajase-5500	86	9	disturb	disturb	VERB
ajase-5500	86	10	human	human	ADJ
ajase-5500	86	11	society	society	NOUN
ajase-5500	86	12	and	and	CCONJ
ajase-5500	86	13	the	the	DET
ajase-5500	86	14	natural	natural	ADJ
ajase-5500	86	15	environment	environment	NOUN
ajase-5500	86	16	(	(	PUNCT
ajase-5500	86	17	ashiq	ashiq	PROPN
ajase-5500	86	18	,	,	PUNCT
ajase-5500	86	19	2010	2010	NUM
ajase-5500	86	20	)	)	PUNCT
ajase-5500	86	21	.	.	PUNCT
ajase-5500	87	1	however	however	ADV
ajase-5500	87	2	,	,	PUNCT
ajase-5500	87	3	the	the	DET
ajase-5500	87	4	changes	change	NOUN
ajase-5500	87	5	in	in	ADP
ajase-5500	87	6	extreme	extreme	ADJ
ajase-5500	87	7	temperature	temperature	NOUN
ajase-5500	87	8	events	event	NOUN
ajase-5500	87	9	such	such	ADJ
ajase-5500	87	10	as	as	ADP
ajase-5500	87	11	heat	heat	NOUN
ajase-5500	87	12	waves	wave	NOUN
ajase-5500	87	13	,	,	PUNCT
ajase-5500	87	14	severe	severe	ADJ
ajase-5500	87	15	winter	winter	NOUN
ajase-5500	87	16	and	and	CCONJ
ajase-5500	87	17	summer	summer	NOUN
ajase-5500	87	18	storms	storm	NOUN
ajase-5500	87	19	,	,	PUNCT
ajase-5500	87	20	hot	hot	ADJ
ajase-5500	87	21	and	and	CCONJ
ajase-5500	87	22	cold	cold	ADJ
ajase-5500	87	23	days	day	NOUN
ajase-5500	87	24	,	,	PUNCT
ajase-5500	87	25	and	and	CCONJ
ajase-5500	87	26	hot	hot	ADJ
ajase-5500	87	27	and	and	CCONJ
ajase-5500	87	28	cold	cold	ADJ
ajase-5500	87	29	nights	night	NOUN
ajase-5500	87	30	can	can	AUX
ajase-5500	87	31	cause	cause	VERB
ajase-5500	87	32	more	more	ADV
ajase-5500	87	33	severe	severe	ADJ
ajase-5500	87	34	impacts	impact	NOUN
ajase-5500	87	35	on	on	ADP
ajase-5500	87	36	human	human	ADJ
ajase-5500	87	37	society	society	NOUN
ajase-5500	87	38	and	and	CCONJ
ajase-5500	87	39	the	the	DET
ajase-5500	87	40	natural	natural	ADJ
ajase-5500	87	41	environment	environment	NOUN
ajase-5500	87	42	(	(	PUNCT
ajase-5500	87	43	refsgaard	refsgaard	VERB
ajase-5500	87	44	,	,	PUNCT
ajase-5500	87	45	2013	2013	NUM
ajase-5500	87	46	)	)	PUNCT
ajase-5500	87	47	.	.	PUNCT
ajase-5500	88	1	consequently	consequently	ADV
ajase-5500	88	2	,	,	PUNCT
ajase-5500	88	3	(	(	PUNCT
ajase-5500	88	4	jokubaitis	jokubaitis	NOUN
ajase-5500	88	5	,	,	PUNCT
ajase-5500	88	6	2021	2021	NUM
ajase-5500	88	7	)	)	PUNCT
ajase-5500	88	8	examine	examine	VERB
ajase-5500	88	9	the	the	DET
ajase-5500	88	10	use	use	NOUN
ajase-5500	88	11	of	of	ADP
ajase-5500	88	12	sparse	sparse	ADJ
ajase-5500	88	13	methods	method	NOUN
ajase-5500	88	14	to	to	PART
ajase-5500	88	15	forecast	forecast	VERB
ajase-5500	88	16	the	the	DET
ajase-5500	88	17	real	real	ADJ
ajase-5500	88	18	(	(	PUNCT
ajase-5500	88	19	in	in	ADP
ajase-5500	88	20	the	the	DET
ajase-5500	88	21	chain	chain	NOUN
ajase-5500	88	22	-	-	PUNCT
ajase-5500	88	23	linked	link	VERB
ajase-5500	88	24	volume	volume	NOUN
ajase-5500	88	25	sense	sense	NOUN
ajase-5500	88	26	)	)	PUNCT
ajase-5500	88	27	expenditure	expenditure	NOUN
ajase-5500	88	28	components	component	NOUN
ajase-5500	88	29	of	of	ADP
ajase-5500	88	30	the	the	DET
ajase-5500	88	31	us	us	PROPN
ajase-5500	88	32	and	and	CCONJ
ajase-5500	88	33	eu	eu	PROPN
ajase-5500	88	34	gdp	gdp	NOUN
ajase-5500	88	35	in	in	ADP
ajase-5500	88	36	the	the	DET
ajase-5500	88	37	short	short	ADJ
ajase-5500	88	38	-	-	PUNCT
ajase-5500	88	39	run	run	NOUN
ajase-5500	88	40	sooner	soon	ADV
ajase-5500	88	41	than	than	SCONJ
ajase-5500	88	42	national	national	ADJ
ajase-5500	88	43	statistics	statistic	NOUN
ajase-5500	88	44	institutions	institution	NOUN
ajase-5500	88	45	officially	officially	ADV
ajase-5500	88	46	release	release	VERB
ajase-5500	88	47	the	the	DET
ajase-5500	88	48	data	datum	NOUN
ajase-5500	88	49	.	.	PUNCT
ajase-5500	89	1	the	the	DET
ajase-5500	89	2	study	study	NOUN
ajase-5500	89	3	solved	solve	VERB
ajase-5500	89	4	the	the	DET
ajase-5500	89	5	high	high	ADJ
ajase-5500	89	6	-	-	PUNCT
ajase-5500	89	7	dimensionality	dimensionality	NOUN
ajase-5500	89	8	problem	problem	NOUN
ajase-5500	89	9	of	of	ADP
ajase-5500	89	10	monthly	monthly	ADJ
ajase-5500	89	11	datasets	dataset	NOUN
ajase-5500	89	12	by	by	ADP
ajase-5500	89	13	assuming	assume	VERB
ajase-5500	89	14	sparse	sparse	ADJ
ajase-5500	89	15	structures	structure	NOUN
ajase-5500	89	16	of	of	ADP
ajase-5500	89	17	leading	lead	VERB
ajase-5500	89	18	indicators	indicator	NOUN
ajase-5500	89	19	capable	capable	ADJ
ajase-5500	89	20	of	of	ADP
ajase-5500	89	21	adequately	adequately	ADV
ajase-5500	89	22	explaining	explain	VERB
ajase-5500	89	23	the	the	DET
ajase-5500	89	24	dynamics	dynamic	NOUN
ajase-5500	89	25	of	of	ADP
ajase-5500	89	26	the	the	DET
ajase-5500	89	27	analyzed	analyze	VERB
ajase-5500	89	28	data	datum	NOUN
ajase-5500	89	29	.	.	PUNCT
ajase-5500	90	1	the	the	DET
ajase-5500	90	2	study	study	NOUN
ajase-5500	90	3	further	far	ADV
ajase-5500	90	4	proposed	propose	VERB
ajase-5500	90	5	an	an	DET
ajase-5500	90	6	adjustment	adjustment	NOUN
ajase-5500	90	7	that	that	PRON
ajase-5500	90	8	combines	combine	VERB
ajase-5500	90	9	lasso	lasso	ADJ
ajase-5500	90	10	cases	case	NOUN
ajase-5500	90	11	with	with	ADP
ajase-5500	90	12	principal	principal	ADJ
ajase-5500	90	13	components	component	NOUN
ajase-5500	90	14	analysis	analysis	NOUN
ajase-5500	90	15	to	to	PART
ajase-5500	90	16	improve	improve	VERB
ajase-5500	90	17	the	the	DET
ajase-5500	90	18	forecasting	forecasting	NOUN
ajase-5500	90	19	performance	performance	NOUN
ajase-5500	90	20	.	.	PUNCT
ajase-5500	91	1	the	the	DET
ajase-5500	91	2	forecasting	forecasting	NOUN
ajase-5500	91	3	performance	performance	NOUN
ajase-5500	91	4	was	be	AUX
ajase-5500	91	5	evaluated	evaluate	VERB
ajase-5500	91	6	by	by	ADP
ajase-5500	91	7	conducting	conduct	VERB
ajase-5500	91	8	pseudo	pseudo	NOUN
ajase-5500	91	9	-	-	ADJ
ajase-5500	91	10	real	real	ADJ
ajase-5500	91	11	-	-	PUNCT
ajase-5500	91	12	time	time	NOUN
ajase-5500	91	13	experiments	experiment	NOUN
ajase-5500	91	14	for	for	ADP
ajase-5500	91	15	gross	gross	ADJ
ajase-5500	91	16	fixed	fix	VERB
ajase-5500	91	17	capital	capital	NOUN
ajase-5500	91	18	formation	formation	NOUN
ajase-5500	91	19	,	,	PUNCT
ajase-5500	91	20	private	private	ADJ
ajase-5500	91	21	consumption	consumption	NOUN
ajase-5500	91	22	,	,	PUNCT
ajase-5500	91	23	imports	import	NOUN
ajase-5500	91	24	,	,	PUNCT
ajase-5500	91	25	and	and	CCONJ
ajase-5500	91	26	exports	export	NOUN
ajase-5500	91	27	over	over	ADP
ajase-5500	91	28	a	a	DET
ajase-5500	91	29	sample	sample	NOUN
ajase-5500	91	30	from	from	ADP
ajase-5500	91	31	2005–2019	2005–2019	NUM
ajase-5500	91	32	,	,	PUNCT
ajase-5500	91	33	compared	compare	VERB
ajase-5500	91	34	with	with	ADP
ajase-5500	91	35	benchmark	benchmark	ADJ
ajase-5500	91	36	arma	arma	NOUN
ajase-5500	91	37	and	and	CCONJ
ajase-5500	91	38	factor	factor	NOUN
ajase-5500	91	39	models	model	NOUN
ajase-5500	91	40	.	.	PUNCT
ajase-5500	92	1	the	the	DET
ajase-5500	92	2	main	main	ADJ
ajase-5500	92	3	results	result	NOUN
ajase-5500	92	4	suggest	suggest	VERB
ajase-5500	92	5	that	that	SCONJ
ajase-5500	92	6	sparse	sparse	ADJ
ajase-5500	92	7	methods	method	NOUN
ajase-5500	92	8	can	can	AUX
ajase-5500	92	9	outperform	outperform	VERB
ajase-5500	92	10	the	the	DET
ajase-5500	92	11	benchmarks	benchmark	NOUN
ajase-5500	92	12	and	and	CCONJ
ajase-5500	92	13	identify	identify	VERB
ajase-5500	92	14	reasonable	reasonable	ADJ
ajase-5500	92	15	subsets	subset	NOUN
ajase-5500	92	16	of	of	ADP
ajase-5500	92	17	explanatory	explanatory	ADJ
ajase-5500	92	18	variables	variable	NOUN
ajase-5500	92	19	.	.	PUNCT
ajase-5500	93	1	the	the	DET
ajase-5500	93	2	proposed	propose	VERB
ajase-5500	93	3	combination	combination	NOUN
ajase-5500	93	4	of	of	ADP
ajase-5500	93	5	lasso	lasso	NOUN
ajase-5500	93	6	and	and	CCONJ
ajase-5500	93	7	principal	principal	ADJ
ajase-5500	93	8	components	component	NOUN
ajase-5500	93	9	further	far	ADV
ajase-5500	93	10	improves	improve	VERB
ajase-5500	93	11	the	the	DET
ajase-5500	93	12	forecast	forecast	NOUN
ajase-5500	93	13	accuracy	accuracy	NOUN
ajase-5500	93	14	.	.	PUNCT
ajase-5500	94	1	materials	material	NOUN
ajase-5500	94	2	and	and	CCONJ
ajase-5500	94	3	methods	method	NOUN
ajase-5500	94	4	data	data	VERB
ajase-5500	94	5	the	the	DET
ajase-5500	94	6	climate	climate	NOUN
ajase-5500	94	7	dataset	dataset	NOUN
ajase-5500	94	8	originates	originate	NOUN
ajase-5500	94	9	from	from	ADP
ajase-5500	94	10	meteorological	meteorological	ADJ
ajase-5500	94	11	observations	observation	NOUN
ajase-5500	94	12	collected	collect	VERB
ajase-5500	94	13	across	across	ADP
ajase-5500	94	14	various	various	ADJ
ajase-5500	94	15	regions	region	NOUN
ajase-5500	94	16	in	in	ADP
ajase-5500	94	17	nigeria	nigeria	PROPN
ajase-5500	94	18	,	,	PUNCT
ajase-5500	94	19	spanning	span	VERB
ajase-5500	94	20	from	from	ADP
ajase-5500	94	21	1950	1950	NUM
ajase-5500	94	22	to	to	ADP
ajase-5500	94	23	2020	2020	NUM
ajase-5500	94	24	.	.	PUNCT
ajase-5500	95	1	the	the	DET
ajase-5500	95	2	data	datum	NOUN
ajase-5500	95	3	includes	include	VERB
ajase-5500	95	4	annual	annual	ADJ
ajase-5500	95	5	average	average	ADJ
ajase-5500	95	6	mean	mean	NOUN
ajase-5500	95	7	surface	surface	NOUN
ajase-5500	95	8	air	air	NOUN
ajase-5500	95	9	temperature	temperature	NOUN
ajase-5500	95	10	,	,	PUNCT
ajase-5500	95	11	annual	annual	ADJ
ajase-5500	95	12	precipitation	precipitation	NOUN
ajase-5500	95	13	,	,	PUNCT
ajase-5500	95	14	number	number	NOUN
ajase-5500	95	15	of	of	ADP
ajase-5500	95	16	days	day	NOUN
ajase-5500	95	17	with	with	ADP
ajase-5500	95	18	heat	heat	NOUN
ajase-5500	95	19	index	index	NOUN
ajase-5500	95	20	>	>	X
ajase-5500	95	21	35	35	NUM
ajase-5500	95	22	°	°	SYM
ajase-5500	95	23	c	c	NOUN
ajase-5500	95	24	,	,	PUNCT
ajase-5500	95	25	and	and	CCONJ
ajase-5500	95	26	maximum	maximum	ADJ
ajase-5500	95	27	number	number	NOUN
ajase-5500	95	28	of	of	ADP
ajase-5500	95	29	consecutive	consecutive	ADJ
ajase-5500	95	30	wet	wet	ADJ
ajase-5500	95	31	days	day	NOUN
ajase-5500	95	32	.	.	PUNCT
ajase-5500	96	1	these	these	DET
ajase-5500	96	2	records	record	NOUN
ajase-5500	96	3	were	be	AUX
ajase-5500	96	4	sourced	source	VERB
ajase-5500	96	5	from	from	ADP
ajase-5500	96	6	reputable	reputable	ADJ
ajase-5500	96	7	institutions	institution	NOUN
ajase-5500	96	8	such	such	ADJ
ajase-5500	96	9	as	as	ADP
ajase-5500	96	10	the	the	DET
ajase-5500	96	11	nigerian	nigerian	ADJ
ajase-5500	96	12	meteorological	meteorological	ADJ
ajase-5500	96	13	agency	agency	NOUN
ajase-5500	96	14	(	(	PUNCT
ajase-5500	96	15	nimet	nimet	ADJ
ajase-5500	96	16	)	)	PUNCT
ajase-5500	96	17	and	and	CCONJ
ajase-5500	96	18	sourced	source	VERB
ajase-5500	96	19	from	from	ADP
ajase-5500	96	20	national	national	ADJ
ajase-5500	96	21	bureau	bureau	PROPN
ajase-5500	96	22	of	of	ADP
ajase-5500	96	23	statistics	statistic	NOUN
ajase-5500	96	24	(	(	PUNCT
ajase-5500	96	25	nbs	nbs	NOUN
ajase-5500	96	26	)	)	PUNCT
ajase-5500	96	27	statistical	statistical	ADJ
ajase-5500	96	28	bulletin	bulletin	NOUN
ajase-5500	96	29	2023	2023	NUM
ajase-5500	96	30	,	,	PUNCT
ajase-5500	96	31	which	which	PRON
ajase-5500	96	32	aggregate	aggregate	VERB
ajase-5500	96	33	historical	historical	ADJ
ajase-5500	96	34	weather	weather	NOUN
ajase-5500	96	35	data	datum	NOUN
ajase-5500	96	36	for	for	ADP
ajase-5500	96	37	nigeria	nigeria	PROPN
ajase-5500	96	38	.	.	PUNCT
ajase-5500	97	1	the	the	DET
ajase-5500	97	2	dataset	dataset	NOUN
ajase-5500	97	3	provides	provide	VERB
ajase-5500	97	4	valuable	valuable	ADJ
ajase-5500	97	5	insights	insight	NOUN
ajase-5500	97	6	into	into	ADP
ajase-5500	97	7	longterm	longterm	ADJ
ajase-5500	97	8	climate	climate	NOUN
ajase-5500	97	9	trends	trend	NOUN
ajase-5500	97	10	,	,	PUNCT
ajase-5500	97	11	essential	essential	ADJ
ajase-5500	97	12	for	for	ADP
ajase-5500	97	13	environmental	environmental	ADJ
ajase-5500	97	14	research	research	NOUN
ajase-5500	97	15	,	,	PUNCT
ajase-5500	97	16	policy	policy	NOUN
ajase-5500	97	17	-	-	PUNCT
ajase-5500	97	18	making	making	NOUN
ajase-5500	97	19	,	,	PUNCT
ajase-5500	97	20	and	and	CCONJ
ajase-5500	97	21	adaptation	adaptation	NOUN
ajase-5500	97	22	strategies	strategy	NOUN
ajase-5500	97	23	in	in	ADP
ajase-5500	97	24	nigeria	nigeria	PROPN
ajase-5500	97	25	.	.	PUNCT
ajase-5500	98	1	sdfm	sdfm	NOUN
ajase-5500	98	2	with	with	ADP
ajase-5500	98	3	lasso	lasso	ADJ
ajase-5500	98	4	regularization	regularization	NOUN
ajase-5500	98	5	and	and	CCONJ
ajase-5500	98	6	other	other	ADJ
ajase-5500	98	7	classical	classical	ADJ
ajase-5500	98	8	forecast	forecast	NOUN
ajase-5500	98	9	models	model	NOUN
ajase-5500	98	10	this	this	DET
ajase-5500	98	11	study	study	NOUN
ajase-5500	98	12	utilized	utilize	VERB
ajase-5500	98	13	the	the	DET
ajase-5500	98	14	sparse	sparse	ADJ
ajase-5500	98	15	dynamic	dynamic	ADJ
ajase-5500	98	16	factor	factor	NOUN
ajase-5500	98	17	model	model	NOUN
ajase-5500	98	18	(	(	PUNCT
ajase-5500	98	19	sdfm	sdfm	PROPN
ajase-5500	98	20	)	)	PUNCT
ajase-5500	98	21	with	with	ADP
ajase-5500	98	22	lasso	lasso	ADJ
ajase-5500	98	23	regularization	regularization	NOUN
ajase-5500	98	24	and	and	CCONJ
ajase-5500	98	25	other	other	ADJ
ajase-5500	98	26	traditional	traditional	ADJ
ajase-5500	98	27	forecasting	forecasting	NOUN
ajase-5500	98	28	models	model	NOUN
ajase-5500	98	29	such	such	ADJ
ajase-5500	98	30	as	as	ADP
ajase-5500	98	31	arima	arima	NOUN
ajase-5500	98	32	,	,	PUNCT
ajase-5500	98	33	pca	pca	NOUN
ajase-5500	98	34	-	-	PUNCT
ajase-5500	98	35	dfm	dfm	ADJ
ajase-5500	98	36	,	,	PUNCT
ajase-5500	98	37	twostage	twostage	NOUN
ajase-5500	98	38	dfm	dfm	NOUN
ajase-5500	98	39	,	,	PUNCT
ajase-5500	98	40	and	and	CCONJ
ajase-5500	98	41	em	em	NOUN
ajase-5500	98	42	-	-	PUNCT
ajase-5500	98	43	based	base	VERB
ajase-5500	98	44	dfm	dfm	NOUN
ajase-5500	98	45	.	.	PUNCT
ajase-5500	99	1	given	give	VERB
ajase-5500	99	2	the	the	DET
ajase-5500	99	3	complexity	complexity	NOUN
ajase-5500	99	4	and	and	CCONJ
ajase-5500	99	5	nonlinearity	nonlinearity	NOUN
ajase-5500	99	6	of	of	ADP
ajase-5500	99	7	climate	climate	NOUN
ajase-5500	99	8	systems	system	NOUN
ajase-5500	99	9	,	,	PUNCT
ajase-5500	99	10	the	the	DET
ajase-5500	99	11	study	study	NOUN
ajase-5500	99	12	explores	explore	VERB
ajase-5500	99	13	how	how	SCONJ
ajase-5500	99	14	sdfm	sdfm	NOUN
ajase-5500	99	15	,	,	PUNCT
ajase-5500	99	16	incorporating	incorporate	VERB
ajase-5500	99	17	l1	l1	PROPN
ajase-5500	99	18	(	(	PUNCT
ajase-5500	99	19	lasso	lasso	PROPN
ajase-5500	99	20	)	)	PUNCT
ajase-5500	99	21	and	and	CCONJ
ajase-5500	99	22	l2	l2	NOUN
ajase-5500	99	23	(	(	PUNCT
ajase-5500	99	24	group	group	NOUN
ajase-5500	99	25	lasso	lasso	NOUN
ajase-5500	99	26	)	)	PUNCT
ajase-5500	99	27	regularization	regularization	NOUN
ajase-5500	99	28	,	,	PUNCT
ajase-5500	99	29	enhances	enhance	VERB
ajase-5500	99	30	forecasting	forecasting	NOUN
ajase-5500	99	31	performance	performance	NOUN
ajase-5500	99	32	by	by	ADP
ajase-5500	99	33	capturing	capture	VERB
ajase-5500	99	34	complex	complex	ADJ
ajase-5500	99	35	relationships	relationship	NOUN
ajase-5500	99	36	within	within	ADP
ajase-5500	99	37	highdimensional	highdimensional	ADJ
ajase-5500	99	38	climate	climate	NOUN
ajase-5500	99	39	data	datum	NOUN
ajase-5500	99	40	while	while	SCONJ
ajase-5500	99	41	maintaining	maintain	VERB
ajase-5500	99	42	computational	computational	ADJ
ajase-5500	99	43	efficiency	efficiency	NOUN
ajase-5500	99	44	.	.	PUNCT
ajase-5500	100	1	sparse	sparse	ADJ
ajase-5500	100	2	dynamic	dynamic	ADJ
ajase-5500	100	3	factor	factor	NOUN
ajase-5500	100	4	model	model	NOUN
ajase-5500	100	5	(	(	PUNCT
ajase-5500	100	6	sdfm	sdfm	PROPN
ajase-5500	100	7	)	)	PUNCT
ajase-5500	100	8	the	the	DET
ajase-5500	100	9	sparse	sparse	ADJ
ajase-5500	100	10	dynamic	dynamic	ADJ
ajase-5500	100	11	factor	factor	NOUN
ajase-5500	100	12	model	model	NOUN
ajase-5500	100	13	is	be	AUX
ajase-5500	100	14	constructed	construct	VERB
ajase-5500	100	15	to	to	PART
ajase-5500	100	16	capture	capture	VERB
ajase-5500	100	17	both	both	CCONJ
ajase-5500	100	18	the	the	DET
ajase-5500	100	19	cross	cross	ADJ
ajase-5500	100	20	-	-	ADJ
ajase-5500	100	21	sectional	sectional	ADJ
ajase-5500	100	22	and	and	CCONJ
ajase-5500	100	23	temporal	temporal	ADJ
ajase-5500	100	24	relationships	relationship	NOUN
ajase-5500	100	25	in	in	ADP
ajase-5500	100	26	high	high	ADJ
ajase-5500	100	27	-	-	PUNCT
ajase-5500	100	28	dimensional	dimensional	ADJ
ajase-5500	100	29	time	time	NOUN
ajase-5500	100	30	series	series	PROPN
ajase-5500	100	31	data	data	PROPN
ajase-5500	100	32	,	,	PUNCT
ajase-5500	100	33	following	follow	VERB
ajase-5500	100	34	the	the	DET
ajase-5500	100	35	framework	framework	NOUN
ajase-5500	100	36	established	establish	VERB
ajase-5500	100	37	by	by	ADP
ajase-5500	100	38	(	(	PUNCT
ajase-5500	100	39	jungbacker	jungbacker	NOUN
ajase-5500	100	40	&	&	CCONJ
ajase-5500	100	41	koopman	koopman	PROPN
ajase-5500	100	42	,	,	PUNCT
ajase-5500	100	43	2015	2015	NUM
ajase-5500	100	44	)	)	PUNCT
ajase-5500	100	45	for	for	ADP
ajase-5500	100	46	likelihood	likelihood	NOUN
ajase-5500	100	47	-	-	PUNCT
ajase-5500	100	48	based	base	VERB
ajase-5500	100	49	dynamic	dynamic	ADJ
ajase-5500	100	50	factor	factor	NOUN
ajase-5500	100	51	analysis	analysis	NOUN
ajase-5500	100	52	.	.	PUNCT
ajase-5500	101	1	dynamic	dynamic	ADJ
ajase-5500	101	2	factor	factor	NOUN
ajase-5500	101	3	models	model	NOUN
ajase-5500	101	4	are	be	AUX
ajase-5500	101	5	expressed	express	VERB
ajase-5500	101	6	as	as	SCONJ
ajase-5500	101	7	follows	follow	VERB
ajase-5500	101	8	:	:	PUNCT
ajase-5500	102	1	yt	yt	PROPN
ajase-5500	102	2	=	=	PROPN
ajase-5500	102	3	λft+εt	λft+εt	PROPN
ajase-5500	102	4	,	,	PUNCT
ajase-5500	102	5	εt∼n(0	εt∼n(0	PROPN
ajase-5500	102	6	,	,	PUNCT
ajase-5500	102	7	σε	σε	NOUN
ajase-5500	102	8	)	)	PUNCT
ajase-5500	102	9	(	(	PUNCT
ajase-5500	102	10	1	1	X
ajase-5500	102	11	)	)	PUNCT
ajase-5500	103	1	where	where	SCONJ
ajase-5500	103	2	:	:	PUNCT
ajase-5500	103	3	•	•	NUM
ajase-5500	103	4	yt=(y1	yt=(y1	PROPN
ajase-5500	103	5	t	t	PROPN
ajase-5500	103	6	,	,	PUNCT
ajase-5500	103	7	y2t,	y2t,	PROPN
ajase-5500	103	8	…	…	X
ajase-5500	103	9	,ynt	,ynt	PUNCT
ajase-5500	103	10	)	)	PUNCT
ajase-5500	103	11	’	'	PUNCT
ajase-5500	103	12	is	be	AUX
ajase-5500	103	13	an	an	DET
ajase-5500	103	14	n	n	ADV
ajase-5500	103	15	-	-	PUNCT
ajase-5500	103	16	dimensional	dimensional	ADJ
ajase-5500	103	17	observed	observe	VERB
ajase-5500	103	18	time	time	NOUN
ajase-5500	103	19	series	series	PROPN
ajase-5500	103	20	vector	vector	NOUN
ajase-5500	103	21	at	at	ADP
ajase-5500	103	22	time	time	NOUN
ajase-5500	103	23	t	t	PROPN
ajase-5500	103	24	,	,	PUNCT
ajase-5500	103	25	•	•	NOUN
ajase-5500	103	26	ft=(f1t	ft=(f1t	NOUN
ajase-5500	103	27	,	,	PUNCT
ajase-5500	103	28	f2t,	f2t,	ADJ
ajase-5500	103	29	…	…	SYM
ajase-5500	103	30	,frt	,frt	PUNCT
ajase-5500	103	31	)	)	PUNCT
ajase-5500	103	32	’	'	PUNCT
ajase-5500	103	33	represents	represent	VERB
ajase-5500	103	34	the	the	DET
ajase-5500	103	35	r	r	NOUN
ajase-5500	103	36	-	-	PUNCT
ajase-5500	103	37	dimensional	dimensional	ADJ
ajase-5500	103	38	latent	latent	NOUN
ajase-5500	103	39	factors	factor	NOUN
ajase-5500	103	40	,	,	PUNCT
ajase-5500	103	41	•	•	NUM
ajase-5500	103	42	λ	λ	PROPN
ajase-5500	103	43	is	be	AUX
ajase-5500	103	44	the	the	DET
ajase-5500	103	45	unknown	unknown	ADJ
ajase-5500	103	46	factor	factor	NOUN
ajase-5500	103	47	loading	loading	NOUN
ajase-5500	103	48	matrix	matrix	NOUN
ajase-5500	103	49	of	of	ADP
ajase-5500	103	50	dimension	dimension	NOUN
ajase-5500	103	51	n×r	n×r	PROPN
ajase-5500	103	52	,	,	PUNCT
ajase-5500	103	53	•	•	NOUN
ajase-5500	103	54	εt	εt	PRON
ajase-5500	103	55	represents	represent	VERB
ajase-5500	103	56	the	the	DET
ajase-5500	103	57	idiosyncratic	idiosyncratic	ADJ
ajase-5500	103	58	error	error	NOUN
ajase-5500	103	59	with	with	ADP
ajase-5500	103	60	covariance	covariance	NOUN
ajase-5500	103	61	matrix	matrix	NOUN
ajase-5500	103	62	σε	σε	NOUN
ajase-5500	103	63	,	,	PUNCT
ajase-5500	103	64	similar	similar	ADJ
ajase-5500	103	65	to	to	ADP
ajase-5500	103	66	the	the	DET
ajase-5500	103	67	structures	structure	NOUN
ajase-5500	103	68	outlined	outline	VERB
ajase-5500	103	69	by	by	ADP
ajase-5500	103	70	diebold	diebold	PROPN
ajase-5500	103	71	&	&	CCONJ
ajase-5500	103	72	mariano	mariano	PROPN
ajase-5500	103	73	(	(	PUNCT
ajase-5500	103	74	2002	2002	NUM
ajase-5500	103	75	)	)	PUNCT
ajase-5500	103	76	and	and	CCONJ
ajase-5500	103	77	modarres	modarre	NOUN
ajase-5500	103	78	&	&	CCONJ
ajase-5500	103	79	ouarda	ouarda	PROPN
ajase-5500	103	80	(	(	PUNCT
ajase-5500	103	81	2013	2013	NUM
ajase-5500	103	82	)	)	PUNCT
ajase-5500	103	83	.	.	PUNCT
ajase-5500	104	1	the	the	DET
ajase-5500	104	2	factors	factor	NOUN
ajase-5500	104	3	ft	ft	PART
ajase-5500	104	4	evolve	evolve	VERB
ajase-5500	104	5	according	accord	VERB
ajase-5500	104	6	to	to	ADP
ajase-5500	104	7	an	an	DET
ajase-5500	104	8	autoregressive	autoregressive	ADJ
ajase-5500	104	9	process	process	NOUN
ajase-5500	104	10	,	,	PUNCT
ajase-5500	104	11	following	follow	VERB
ajase-5500	104	12	the	the	DET
ajase-5500	104	13	approach	approach	NOUN
ajase-5500	104	14	of	of	ADP
ajase-5500	104	15	dempster	dempster	PROPN
ajase-5500	104	16	(	(	PUNCT
ajase-5500	104	17	1977	1977	NUM
ajase-5500	104	18	)	)	PUNCT
ajase-5500	104	19	and	and	CCONJ
ajase-5500	104	20	harvey	harvey	PROPN
ajase-5500	104	21	&	&	CCONJ
ajase-5500	104	22	peters	peters	PROPN
ajase-5500	104	23	(	(	PUNCT
ajase-5500	104	24	1990	1990	NUM
ajase-5500	104	25	):	):	PUNCT
ajase-5500	104	26	ft	ft	PROPN
ajase-5500	104	27	=	=	SYM
ajase-5500	104	28	φf(t-1)+ηt	φf(t-1)+ηt	PROPN
ajase-5500	104	29	,	,	PUNCT
ajase-5500	104	30	ηt∼n(0,ση	ηt∼n(0,ση	NOUN
ajase-5500	104	31	)	)	PUNCT
ajase-5500	104	32	(	(	PUNCT
ajase-5500	104	33	2	2	X
ajase-5500	104	34	)	)	PUNCT
ajase-5500	104	35	where	where	SCONJ
ajase-5500	104	36	:	:	PUNCT
ajase-5500	104	37	pa	pa	PROPN
ajase-5500	104	38	ge	ge	PROPN
ajase-5500	104	39	73	73	NUM
ajase-5500	104	40	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	104	41	am	be	AUX
ajase-5500	104	42	.	.	PUNCT
ajase-5500	105	1	j.	j.	PROPN
ajase-5500	105	2	appl	appl	PROPN
ajase-5500	105	3	.	.	PROPN
ajase-5500	106	1	stat	stat	PROPN
ajase-5500	106	2	.	.	PUNCT
ajase-5500	107	1	econ	econ	PROPN
ajase-5500	107	2	.	.	PUNCT
ajase-5500	108	1	4(1	4(1	X
ajase-5500	108	2	)	)	PUNCT
ajase-5500	109	1	70	70	NUM
ajase-5500	109	2	-	-	SYM
ajase-5500	109	3	79	79	NUM
ajase-5500	109	4	,	,	PUNCT
ajase-5500	109	5	2025	2025	NUM
ajase-5500	109	6	•	•	NOUN
ajase-5500	109	7	φ	φ	PROPN
ajase-5500	109	8	is	be	AUX
ajase-5500	109	9	a	a	DET
ajase-5500	109	10	diagonal	diagonal	ADJ
ajase-5500	109	11	autoregressive	autoregressive	ADJ
ajase-5500	109	12	matrix	matrix	NOUN
ajase-5500	109	13	for	for	ADP
ajase-5500	109	14	the	the	DET
ajase-5500	109	15	factor	factor	NOUN
ajase-5500	109	16	dynamics	dynamic	NOUN
ajase-5500	109	17	,	,	PUNCT
ajase-5500	109	18	•	•	ADP
ajase-5500	109	19	ηt	ηt	ADP
ajase-5500	109	20	represents	represent	VERB
ajase-5500	109	21	innovations	innovation	NOUN
ajase-5500	109	22	with	with	ADP
ajase-5500	109	23	covariance	covariance	NOUN
ajase-5500	109	24	matrix	matrix	NOUN
ajase-5500	109	25	ση	ση	PROPN
ajase-5500	109	26	.	.	PROPN
ajase-5500	109	27	l1	l1	PROPN
ajase-5500	109	28	penalty	penalty	NOUN
ajase-5500	109	29	(	(	PUNCT
ajase-5500	109	30	lasso	lasso	NOUN
ajase-5500	109	31	regularization	regularization	NOUN
ajase-5500	109	32	)	)	PUNCT
ajase-5500	109	33	the	the	DET
ajase-5500	109	34	l1	l1	PROPN
ajase-5500	109	35	penalty	penalty	NOUN
ajase-5500	109	36	,	,	PUNCT
ajase-5500	109	37	also	also	ADV
ajase-5500	109	38	known	know	VERB
ajase-5500	109	39	as	as	ADP
ajase-5500	109	40	lasso	lasso	NOUN
ajase-5500	109	41	(	(	PUNCT
ajase-5500	109	42	least	least	ADJ
ajase-5500	109	43	absolute	absolute	ADJ
ajase-5500	109	44	shrinkage	shrinkage	NOUN
ajase-5500	109	45	and	and	CCONJ
ajase-5500	109	46	selection	selection	NOUN
ajase-5500	109	47	operator	operator	NOUN
ajase-5500	109	48	)	)	PUNCT
ajase-5500	109	49	,	,	PUNCT
ajase-5500	109	50	is	be	AUX
ajase-5500	109	51	applied	apply	VERB
ajase-5500	109	52	to	to	PART
ajase-5500	109	53	encourage	encourage	VERB
ajase-5500	109	54	sparsity	sparsity	NOUN
ajase-5500	109	55	in	in	ADP
ajase-5500	109	56	the	the	DET
ajase-5500	109	57	factor	factor	NOUN
ajase-5500	109	58	loading	loading	NOUN
ajase-5500	109	59	matrix	matrix	NOUN
ajase-5500	109	60	λ	λ	NOUN
ajase-5500	109	61	.	.	PUNCT
ajase-5500	110	1	this	this	DET
ajase-5500	110	2	penalty	penalty	NOUN
ajase-5500	110	3	is	be	AUX
ajase-5500	110	4	particularly	particularly	ADV
ajase-5500	110	5	useful	useful	ADJ
ajase-5500	110	6	in	in	ADP
ajase-5500	110	7	high	high	ADJ
ajase-5500	110	8	-	-	PUNCT
ajase-5500	110	9	dimensional	dimensional	ADJ
ajase-5500	110	10	datasets	dataset	NOUN
ajase-5500	110	11	where	where	SCONJ
ajase-5500	110	12	many	many	ADJ
ajase-5500	110	13	parameters	parameter	NOUN
ajase-5500	110	14	may	may	AUX
ajase-5500	110	15	be	be	AUX
ajase-5500	110	16	irrelevant	irrelevant	ADJ
ajase-5500	110	17	,	,	PUNCT
ajase-5500	110	18	as	as	SCONJ
ajase-5500	110	19	discussed	discuss	VERB
ajase-5500	110	20	by	by	ADP
ajase-5500	110	21	(	(	PUNCT
ajase-5500	110	22	zou	zou	PROPN
ajase-5500	110	23	,	,	PUNCT
ajase-5500	110	24	2006	2006	NUM
ajase-5500	110	25	;	;	PUNCT
ajase-5500	110	26	fan	fan	PROPN
ajase-5500	110	27	&	&	CCONJ
ajase-5500	110	28	tang	tang	PROPN
ajase-5500	110	29	(	(	PUNCT
ajase-5500	110	30	2013	2013	NUM
ajase-5500	110	31	)	)	PUNCT
ajase-5500	110	32	.	.	PUNCT
ajase-5500	111	1	the	the	DET
ajase-5500	111	2	penalized	penalize	VERB
ajase-5500	111	3	likelihood	likelihood	NOUN
ajase-5500	111	4	function	function	NOUN
ajase-5500	111	5	,	,	PUNCT
ajase-5500	111	6	incorporating	incorporate	VERB
ajase-5500	111	7	l1	l1	PROPN
ajase-5500	111	8	regularization	regularization	NOUN
ajase-5500	111	9	,	,	PUNCT
ajase-5500	111	10	is	be	AUX
ajase-5500	111	11	formulated	formulate	VERB
ajase-5500	111	12	as	as	SCONJ
ajase-5500	111	13	follows	follow	VERB
ajase-5500	111	14	:	:	PUNCT
ajase-5500	111	15	(	(	PUNCT
ajase-5500	111	16	3	3	X
ajase-5500	111	17	)	)	PUNCT
ajase-5500	111	18	(	(	PUNCT
ajase-5500	111	19	euclidean	euclidean	ADJ
ajase-5500	111	20	norm	norm	NOUN
ajase-5500	111	21	)	)	PUNCT
ajase-5500	111	22	of	of	ADP
ajase-5500	111	23	the	the	DET
ajase-5500	111	24	j	j	PROPN
ajase-5500	111	25	-	-	PUNCT
ajase-5500	111	26	th	th	VERB
ajase-5500	111	27	column	column	NOUN
ajase-5500	111	28	of	of	ADP
ajase-5500	111	29	the	the	DET
ajase-5500	111	30	loading	loading	NOUN
ajase-5500	111	31	matrix	matrix	NOUN
ajase-5500	111	32	λ	λ	NOUN
ajase-5500	111	33	,	,	PUNCT
ajase-5500	111	34	similar	similar	ADJ
ajase-5500	111	35	to	to	ADP
ajase-5500	111	36	the	the	DET
ajase-5500	111	37	approach	approach	NOUN
ajase-5500	111	38	described	describe	VERB
ajase-5500	111	39	by	by	ADP
ajase-5500	111	40	(	(	PUNCT
ajase-5500	111	41	fan	fan	PROPN
ajase-5500	111	42	&	&	CCONJ
ajase-5500	111	43	tang	tang	PROPN
ajase-5500	111	44	,	,	PUNCT
ajase-5500	111	45	2013	2013	NUM
ajase-5500	111	46	)	)	PUNCT
ajase-5500	111	47	for	for	ADP
ajase-5500	111	48	controlling	control	VERB
ajase-5500	111	49	shrinkage	shrinkage	NOUN
ajase-5500	111	50	.	.	PUNCT
ajase-5500	112	1	•	•	NUM
ajase-5500	112	2	γ	γ	X
ajase-5500	112	3	is	be	AUX
ajase-5500	112	4	the	the	DET
ajase-5500	112	5	tuning	tuning	NOUN
ajase-5500	112	6	parameter	parameter	NOUN
ajase-5500	112	7	that	that	PRON
ajase-5500	112	8	controls	control	VERB
ajase-5500	112	9	the	the	DET
ajase-5500	112	10	amount	amount	NOUN
ajase-5500	112	11	of	of	ADP
ajase-5500	112	12	shrinkage	shrinkage	NOUN
ajase-5500	112	13	applied	apply	VERB
ajase-5500	112	14	ridge	ridge	NOUN
ajase-5500	112	15	regularization	regularization	NOUN
ajase-5500	112	16	is	be	AUX
ajase-5500	112	17	often	often	ADV
ajase-5500	112	18	applied	apply	VERB
ajase-5500	112	19	in	in	ADP
ajase-5500	112	20	cases	case	NOUN
ajase-5500	112	21	where	where	SCONJ
ajase-5500	112	22	the	the	DET
ajase-5500	112	23	number	number	NOUN
ajase-5500	112	24	of	of	ADP
ajase-5500	112	25	predictors	predictor	NOUN
ajase-5500	112	26	exceeds	exceed	VERB
ajase-5500	112	27	the	the	DET
ajase-5500	112	28	number	number	NOUN
ajase-5500	112	29	of	of	ADP
ajase-5500	112	30	observations	observation	NOUN
ajase-5500	112	31	or	or	CCONJ
ajase-5500	112	32	where	where	SCONJ
ajase-5500	112	33	the	the	DET
ajase-5500	112	34	predictors	predictor	NOUN
ajase-5500	112	35	are	be	AUX
ajase-5500	112	36	highly	highly	ADV
ajase-5500	112	37	correlated	correlate	VERB
ajase-5500	112	38	,	,	PUNCT
ajase-5500	112	39	preventing	prevent	VERB
ajase-5500	112	40	overfitting	overfitting	NOUN
ajase-5500	112	41	by	by	ADP
ajase-5500	112	42	reducing	reduce	VERB
ajase-5500	112	43	the	the	DET
ajase-5500	112	44	magnitude	magnitude	NOUN
ajase-5500	112	45	of	of	ADP
ajase-5500	112	46	the	the	DET
ajase-5500	112	47	coefficients	coefficient	NOUN
ajase-5500	112	48	.	.	PUNCT
ajase-5500	113	1	unlike	unlike	ADP
ajase-5500	113	2	lasso	lasso	NOUN
ajase-5500	113	3	,	,	PUNCT
ajase-5500	113	4	ridge	ridge	NOUN
ajase-5500	113	5	regression	regression	NOUN
ajase-5500	113	6	reduces	reduce	VERB
ajase-5500	113	7	model	model	NOUN
ajase-5500	113	8	complexity	complexity	NOUN
ajase-5500	113	9	but	but	CCONJ
ajase-5500	113	10	does	do	AUX
ajase-5500	113	11	not	not	PART
ajase-5500	113	12	lead	lead	VERB
ajase-5500	113	13	to	to	ADP
ajase-5500	113	14	a	a	DET
ajase-5500	113	15	sparse	sparse	ADJ
ajase-5500	113	16	solution	solution	NOUN
ajase-5500	113	17	.	.	PUNCT
ajase-5500	114	1	this	this	DET
ajase-5500	114	2	balance	balance	NOUN
ajase-5500	114	3	between	between	ADP
ajase-5500	114	4	fitting	fit	VERB
ajase-5500	114	5	the	the	DET
ajase-5500	114	6	data	datum	NOUN
ajase-5500	114	7	and	and	CCONJ
ajase-5500	114	8	controlling	controlling	NOUN
ajase-5500	114	9	overfitting	overfitte	VERB
ajase-5500	114	10	through	through	ADP
ajase-5500	114	11	shrinkage	shrinkage	NOUN
ajase-5500	114	12	has	have	AUX
ajase-5500	114	13	been	be	AUX
ajase-5500	114	14	widely	widely	ADV
ajase-5500	114	15	discussed	discuss	VERB
ajase-5500	114	16	in	in	ADP
ajase-5500	114	17	the	the	DET
ajase-5500	114	18	literature	literature	NOUN
ajase-5500	114	19	,	,	PUNCT
ajase-5500	114	20	including	include	VERB
ajase-5500	114	21	(	(	PUNCT
ajase-5500	114	22	fan	fan	PROPN
ajase-5500	114	23	&	&	CCONJ
ajase-5500	114	24	tang	tang	PROPN
ajase-5500	114	25	,	,	PUNCT
ajase-5500	114	26	2013	2013	NUM
ajase-5500	114	27	;	;	PUNCT
ajase-5500	114	28	boyd	boyd	PROPN
ajase-5500	114	29	,	,	PUNCT
ajase-5500	114	30	2011	2011	NUM
ajase-5500	114	31	)	)	PUNCT
ajase-5500	114	32	.	.	PUNCT
ajase-5500	115	1	the	the	DET
ajase-5500	115	2	optimization	optimization	NOUN
ajase-5500	115	3	problem	problem	NOUN
ajase-5500	115	4	for	for	ADP
ajase-5500	115	5	the	the	DET
ajase-5500	115	6	l2	l2	NOUN
ajase-5500	115	7	penalty	penalty	NOUN
ajase-5500	115	8	is	be	AUX
ajase-5500	115	9	:	:	PUNCT
ajase-5500	115	10	(	(	PUNCT
ajase-5500	115	11	6)where	6)where	NUM
ajase-5500	115	12	:	:	PUNCT
ajase-5500	115	13	•	•	NUM
ajase-5500	115	14	σt	σt	ADP
ajase-5500	115	15	is	be	AUX
ajase-5500	115	16	the	the	DET
ajase-5500	115	17	covariance	covariance	NOUN
ajase-5500	115	18	matrix	matrix	NOUN
ajase-5500	115	19	of	of	ADP
ajase-5500	115	20	the	the	DET
ajase-5500	115	21	error	error	NOUN
ajase-5500	115	22	term	term	NOUN
ajase-5500	115	23	at	at	ADP
ajase-5500	115	24	time	time	NOUN
ajase-5500	115	25	t	t	PROPN
ajase-5500	115	26	,	,	PUNCT
ajase-5500	115	27	•	•	NUM
ajase-5500	115	28	vt	vt	PROPN
ajase-5500	115	29	is	be	AUX
ajase-5500	115	30	the	the	DET
ajase-5500	115	31	residual	residual	ADJ
ajase-5500	115	32	(	(	PUNCT
ajase-5500	115	33	observation	observation	NOUN
ajase-5500	115	34	minus	minus	ADP
ajase-5500	115	35	prediction	prediction	NOUN
ajase-5500	115	36	)	)	PUNCT
ajase-5500	115	37	at	at	ADP
ajase-5500	115	38	time	time	NOUN
ajase-5500	115	39	t	t	PROPN
ajase-5500	115	40	,	,	PUNCT
ajase-5500	115	41	•	•	NUM
ajase-5500	115	42	λ	λ	PROPN
ajase-5500	115	43	is	be	AUX
ajase-5500	115	44	the	the	DET
ajase-5500	115	45	tuning	tuning	NOUN
ajase-5500	115	46	parameter	parameter	NOUN
ajase-5500	115	47	that	that	PRON
ajase-5500	115	48	controls	control	VERB
ajase-5500	115	49	the	the	DET
ajase-5500	115	50	degree	degree	NOUN
ajase-5500	115	51	of	of	ADP
ajase-5500	115	52	shrinkage	shrinkage	NOUN
ajase-5500	115	53	,	,	PUNCT
ajase-5500	115	54	as	as	SCONJ
ajase-5500	115	55	detailed	detailed	ADJ
ajase-5500	115	56	in	in	ADP
ajase-5500	115	57	(	(	PUNCT
ajase-5500	115	58	zou	zou	PROPN
ajase-5500	115	59	,	,	PUNCT
ajase-5500	115	60	2006	2006	NUM
ajase-5500	115	61	;	;	PUNCT
ajase-5500	115	62	fan	fan	PROPN
ajase-5500	115	63	&	&	CCONJ
ajase-5500	115	64	tang	tang	PROPN
ajase-5500	115	65	(	(	PUNCT
ajase-5500	115	66	2013	2013	NUM
ajase-5500	115	67	)	)	PUNCT
ajase-5500	115	68	,	,	PUNCT
ajase-5500	116	1	•	•	X
ajase-5500	116	2	|λij	|λij	PRON
ajase-5500	117	1	|	|	ADV
ajase-5500	117	2	is	be	AUX
ajase-5500	117	3	the	the	DET
ajase-5500	117	4	absolute	absolute	ADJ
ajase-5500	117	5	value	value	NOUN
ajase-5500	117	6	of	of	ADP
ajase-5500	117	7	each	each	DET
ajase-5500	117	8	entry	entry	NOUN
ajase-5500	117	9	in	in	ADP
ajase-5500	117	10	the	the	DET
ajase-5500	117	11	loading	loading	NOUN
ajase-5500	117	12	matrix	matrix	NOUN
ajase-5500	117	13	λ	λ	PROPN
ajase-5500	117	14	.	.	PUNCT
ajase-5500	118	1	the	the	DET
ajase-5500	118	2	l1	l1	PROPN
ajase-5500	118	3	penalty	penalty	NOUN
ajase-5500	118	4	encourages	encourage	VERB
ajase-5500	118	5	some	some	DET
ajase-5500	118	6	elements	element	NOUN
ajase-5500	118	7	of	of	ADP
ajase-5500	118	8	λ	λ	PROPN
ajase-5500	118	9	to	to	PART
ajase-5500	118	10	be	be	AUX
ajase-5500	118	11	exactly	exactly	ADV
ajase-5500	118	12	zero	zero	NUM
ajase-5500	118	13	,	,	PUNCT
ajase-5500	118	14	thereby	thereby	ADV
ajase-5500	118	15	performing	perform	VERB
ajase-5500	118	16	variable	variable	ADJ
ajase-5500	118	17	selection	selection	NOUN
ajase-5500	118	18	.	.	PUNCT
ajase-5500	119	1	this	this	DET
ajase-5500	119	2	sparse	sparse	ADJ
ajase-5500	119	3	representation	representation	NOUN
ajase-5500	119	4	is	be	AUX
ajase-5500	119	5	particularly	particularly	ADV
ajase-5500	119	6	useful	useful	ADJ
ajase-5500	119	7	in	in	ADP
ajase-5500	119	8	highdimensional	highdimensional	ADJ
ajase-5500	119	9	data	datum	NOUN
ajase-5500	119	10	where	where	SCONJ
ajase-5500	119	11	the	the	DET
ajase-5500	119	12	number	number	NOUN
ajase-5500	119	13	of	of	ADP
ajase-5500	119	14	variables	variable	NOUN
ajase-5500	119	15	exceeds	exceed	VERB
ajase-5500	119	16	the	the	DET
ajase-5500	119	17	number	number	NOUN
ajase-5500	119	18	of	of	ADP
ajase-5500	119	19	observations	observation	NOUN
ajase-5500	119	20	,	,	PUNCT
ajase-5500	119	21	a	a	DET
ajase-5500	119	22	problem	problem	NOUN
ajase-5500	119	23	well	well	INTJ
ajase-5500	119	24	addressed	address	VERB
ajase-5500	119	25	by	by	ADP
ajase-5500	119	26	(	(	PUNCT
ajase-5500	119	27	zou	zou	PROPN
ajase-5500	119	28	,	,	PUNCT
ajase-5500	119	29	2006	2006	NUM
ajase-5500	119	30	)	)	PUNCT
ajase-5500	119	31	.	.	PUNCT
ajase-5500	120	1	the	the	PRON
ajase-5500	120	2	larger	large	ADJ
ajase-5500	120	3	the	the	DET
ajase-5500	120	4	value	value	NOUN
ajase-5500	120	5	of	of	ADP
ajase-5500	120	6	λ	λ	PROPN
ajase-5500	120	7	,	,	PUNCT
ajase-5500	120	8	the	the	PRON
ajase-5500	120	9	greater	great	ADJ
ajase-5500	120	10	the	the	DET
ajase-5500	120	11	shrinkage	shrinkage	NOUN
ajase-5500	120	12	,	,	PUNCT
ajase-5500	120	13	leading	lead	VERB
ajase-5500	120	14	to	to	ADP
ajase-5500	120	15	a	a	DET
ajase-5500	120	16	sparser	sparse	ADJ
ajase-5500	120	17	solution	solution	NOUN
ajase-5500	120	18	.	.	PUNCT
ajase-5500	121	1	the	the	DET
ajase-5500	121	2	optimization	optimization	NOUN
ajase-5500	121	3	problem	problem	NOUN
ajase-5500	121	4	then	then	ADV
ajase-5500	121	5	becomes	become	VERB
ajase-5500	121	6	:	:	PUNCT
ajase-5500	121	7	(	(	PUNCT
ajase-5500	121	8	4	4	X
ajase-5500	121	9	)	)	PUNCT
ajase-5500	121	10	this	this	DET
ajase-5500	121	11	l1	l1	PROPN
ajase-5500	121	12	regularization	regularization	NOUN
ajase-5500	121	13	problem	problem	NOUN
ajase-5500	121	14	is	be	AUX
ajase-5500	121	15	non	non	ADJ
ajase-5500	121	16	-	-	ADJ
ajase-5500	121	17	differentiable	differentiable	ADJ
ajase-5500	121	18	,	,	PUNCT
ajase-5500	121	19	but	but	CCONJ
ajase-5500	121	20	efficient	efficient	ADJ
ajase-5500	121	21	algorithms	algorithm	NOUN
ajase-5500	121	22	such	such	ADJ
ajase-5500	121	23	as	as	ADP
ajase-5500	121	24	coordinate	coordinate	NOUN
ajase-5500	121	25	descent	descent	NOUN
ajase-5500	121	26	and	and	CCONJ
ajase-5500	121	27	proximal	proximal	ADJ
ajase-5500	121	28	gradient	gradient	NOUN
ajase-5500	121	29	methods	method	NOUN
ajase-5500	121	30	can	can	AUX
ajase-5500	121	31	solve	solve	VERB
ajase-5500	121	32	it	it	PRON
ajase-5500	121	33	,	,	PUNCT
ajase-5500	121	34	following	follow	VERB
ajase-5500	121	35	(	(	PUNCT
ajase-5500	121	36	boyd	boyd	PROPN
ajase-5500	121	37	,	,	PUNCT
ajase-5500	121	38	2011	2011	NUM
ajase-5500	121	39	;	;	PUNCT
ajase-5500	121	40	dempster	dempster	PROPN
ajase-5500	121	41	,	,	PUNCT
ajase-5500	121	42	1977	1977	NUM
ajase-5500	121	43	)	)	PUNCT
ajase-5500	121	44	.	.	PUNCT
ajase-5500	122	1	l2	l2	NOUN
ajase-5500	122	2	penalty	penalty	NOUN
ajase-5500	122	3	(	(	PUNCT
ajase-5500	122	4	ridge	ridge	NOUN
ajase-5500	122	5	regularization	regularization	NOUN
ajase-5500	122	6	)	)	PUNCT
ajase-5500	122	7	the	the	DET
ajase-5500	122	8	l2	l2	NOUN
ajase-5500	122	9	penalty	penalty	NOUN
ajase-5500	122	10	,	,	PUNCT
ajase-5500	122	11	commonly	commonly	ADV
ajase-5500	122	12	referred	refer	VERB
ajase-5500	122	13	to	to	ADP
ajase-5500	122	14	as	as	ADP
ajase-5500	122	15	ridge	ridge	NOUN
ajase-5500	122	16	regression	regression	NOUN
ajase-5500	122	17	or	or	CCONJ
ajase-5500	122	18	tikhonov	tikhonov	NOUN
ajase-5500	122	19	regularization	regularization	NOUN
ajase-5500	122	20	,	,	PUNCT
ajase-5500	122	21	penalizes	penalize	VERB
ajase-5500	122	22	the	the	DET
ajase-5500	122	23	squared	square	VERB
ajase-5500	122	24	values	value	NOUN
ajase-5500	122	25	of	of	ADP
ajase-5500	122	26	the	the	DET
ajase-5500	122	27	parameters	parameter	NOUN
ajase-5500	122	28	in	in	ADP
ajase-5500	122	29	the	the	DET
ajase-5500	122	30	factor	factor	NOUN
ajase-5500	122	31	loading	loading	NOUN
ajase-5500	122	32	matrix	matrix	NOUN
ajase-5500	122	33	λ	λ	NOUN
ajase-5500	122	34	,	,	PUNCT
ajase-5500	122	35	as	as	SCONJ
ajase-5500	122	36	described	describe	VERB
ajase-5500	122	37	in	in	ADP
ajase-5500	122	38	the	the	DET
ajase-5500	122	39	work	work	NOUN
ajase-5500	122	40	of	of	ADP
ajase-5500	122	41	(	(	PUNCT
ajase-5500	122	42	zou	zou	PROPN
ajase-5500	122	43	,	,	PUNCT
ajase-5500	122	44	2006	2006	NUM
ajase-5500	122	45	)	)	PUNCT
ajase-5500	122	46	and	and	CCONJ
ajase-5500	122	47	(	(	PUNCT
ajase-5500	122	48	knight	knight	PROPN
ajase-5500	122	49	fu	fu	PROPN
ajase-5500	122	50	,	,	PUNCT
ajase-5500	122	51	2000	2000	NUM
ajase-5500	122	52	)	)	PUNCT
ajase-5500	122	53	.	.	PUNCT
ajase-5500	123	1	unlike	unlike	ADP
ajase-5500	123	2	lasso	lasso	NOUN
ajase-5500	123	3	,	,	PUNCT
ajase-5500	123	4	which	which	PRON
ajase-5500	123	5	tends	tend	VERB
ajase-5500	123	6	to	to	PART
ajase-5500	123	7	drive	drive	VERB
ajase-5500	123	8	some	some	DET
ajase-5500	123	9	coefficients	coefficient	NOUN
ajase-5500	123	10	to	to	ADP
ajase-5500	123	11	exactly	exactly	ADV
ajase-5500	123	12	zero	zero	NUM
ajase-5500	123	13	,	,	PUNCT
ajase-5500	123	14	ridge	ridge	NOUN
ajase-5500	123	15	regularization	regularization	NOUN
ajase-5500	123	16	shrinks	shrink	VERB
ajase-5500	123	17	the	the	DET
ajase-5500	123	18	coefficients	coefficient	NOUN
ajase-5500	123	19	towards	towards	ADP
ajase-5500	123	20	zero	zero	NUM
ajase-5500	123	21	without	without	ADP
ajase-5500	123	22	setting	set	VERB
ajase-5500	123	23	them	they	PRON
ajase-5500	123	24	exactly	exactly	ADV
ajase-5500	123	25	to	to	ADP
ajase-5500	123	26	zero	zero	NUM
ajase-5500	123	27	.	.	PUNCT
ajase-5500	124	1	this	this	DET
ajase-5500	124	2	approach	approach	NOUN
ajase-5500	124	3	is	be	AUX
ajase-5500	124	4	particularly	particularly	ADV
ajase-5500	124	5	useful	useful	ADJ
ajase-5500	124	6	in	in	ADP
ajase-5500	124	7	cases	case	NOUN
ajase-5500	124	8	of	of	ADP
ajase-5500	124	9	multicollinearity	multicollinearity	NOUN
ajase-5500	124	10	,	,	PUNCT
ajase-5500	124	11	where	where	SCONJ
ajase-5500	124	12	correlated	correlate	VERB
ajase-5500	124	13	predictors	predictor	NOUN
ajase-5500	124	14	cause	cause	VERB
ajase-5500	124	15	instability	instability	NOUN
ajase-5500	124	16	in	in	ADP
ajase-5500	124	17	ordinary	ordinary	ADJ
ajase-5500	124	18	least	least	ADJ
ajase-5500	124	19	squares	square	NOUN
ajase-5500	124	20	(	(	PUNCT
ajase-5500	124	21	ols	ol	NOUN
ajase-5500	124	22	)	)	PUNCT
ajase-5500	124	23	estimates	estimate	NOUN
ajase-5500	124	24	.	.	PUNCT
ajase-5500	125	1	the	the	DET
ajase-5500	125	2	penalized	penalize	VERB
ajase-5500	125	3	likelihood	likelihood	NOUN
ajase-5500	125	4	function	function	NOUN
ajase-5500	125	5	with	with	ADP
ajase-5500	125	6	the	the	DET
ajase-5500	125	7	l2	l2	NOUN
ajase-5500	125	8	penalty	penalty	NOUN
ajase-5500	125	9	can	can	AUX
ajase-5500	125	10	be	be	AUX
ajase-5500	125	11	written	write	VERB
ajase-5500	125	12	as	as	ADP
ajase-5500	125	13	:	:	PUNCT
ajase-5500	125	14	(	(	PUNCT
ajase-5500	125	15	5	5	NUM
ajase-5500	125	16	)	)	PUNCT
ajase-5500	125	17	where	where	SCONJ
ajase-5500	125	18	:	:	PUNCT
ajase-5500	125	19	•	•	NUM
ajase-5500	125	20	‖λ.‖2	‖λ.‖2	PROPN
ajase-5500	125	21	2=∑n	2=∑n	PROPN
ajase-5500	125	22	(	(	PUNCT
ajase-5500	125	23	i=1)λ	i=1)λ	SYM
ajase-5500	125	24	2	2	NUM
ajase-5500	125	25	ij	ij	NOUN
ajase-5500	125	26	represents	represent	VERB
ajase-5500	125	27	the	the	DET
ajase-5500	125	28	squared	square	VERB
ajase-5500	125	29	l2	l2	NOUN
ajase-5500	125	30	-	-	PUNCT
ajase-5500	125	31	norm	norm	NOUN
ajase-5500	125	32	sparse	sparse	ADJ
ajase-5500	125	33	dfm	dfm	NOUN
ajase-5500	125	34	with	with	ADP
ajase-5500	125	35	l1	l1	PROPN
ajase-5500	125	36	penalty	penalty	NOUN
ajase-5500	125	37	the	the	DET
ajase-5500	125	38	first	first	ADJ
ajase-5500	125	39	model	model	NOUN
ajase-5500	125	40	assumes	assume	VERB
ajase-5500	125	41	a	a	DET
ajase-5500	125	42	sparse	sparse	ADJ
ajase-5500	125	43	structure	structure	NOUN
ajase-5500	125	44	in	in	ADP
ajase-5500	125	45	the	the	DET
ajase-5500	125	46	factor	factor	NOUN
ajase-5500	125	47	loading	loading	NOUN
ajase-5500	125	48	matrix	matrix	NOUN
ajase-5500	125	49	λ	λ	NOUN
ajase-5500	125	50	.	.	PUNCT
ajase-5500	126	1	the	the	DET
ajase-5500	126	2	model	model	NOUN
ajase-5500	126	3	for	for	ADP
ajase-5500	126	4	the	the	DET
ajase-5500	126	5	observations	observation	NOUN
ajase-5500	126	6	is	be	AUX
ajase-5500	126	7	:	:	PUNCT
ajase-5500	126	8	yt=	yt=	PROPN
ajase-5500	126	9	λft+εt	λft+εt	PROPN
ajase-5500	126	10	,	,	PUNCT
ajase-5500	126	11	εt∼n(0,σε	εt∼n(0,σε	NUM
ajase-5500	126	12	)	)	PUNCT
ajase-5500	126	13	(	(	PUNCT
ajase-5500	126	14	7	7	X
ajase-5500	126	15	)	)	PUNCT
ajase-5500	126	16	where	where	SCONJ
ajase-5500	126	17	:	:	PUNCT
ajase-5500	126	18	•	•	NOUN
ajase-5500	126	19	yt=(y1t	yt=(y1t	ADV
ajase-5500	126	20	,	,	PUNCT
ajase-5500	126	21	y2t,	y2t,	PROPN
ajase-5500	126	22	…	…	X
ajase-5500	126	23	,ynt	,ynt	PUNCT
ajase-5500	126	24	)	)	PUNCT
ajase-5500	126	25	’	'	PUNCT
ajase-5500	126	26	is	be	AUX
ajase-5500	126	27	the	the	DET
ajase-5500	126	28	observed	observe	VERB
ajase-5500	126	29	data	datum	NOUN
ajase-5500	126	30	at	at	ADP
ajase-5500	126	31	time	time	NOUN
ajase-5500	126	32	t	t	PROPN
ajase-5500	126	33	,	,	PUNCT
ajase-5500	126	34	•	•	NUM
ajase-5500	126	35	λ	λ	PROPN
ajase-5500	126	36	is	be	AUX
ajase-5500	126	37	the	the	DET
ajase-5500	126	38	sparse	sparse	ADJ
ajase-5500	126	39	factor	factor	NOUN
ajase-5500	126	40	loading	loading	NOUN
ajase-5500	126	41	matrix	matrix	NOUN
ajase-5500	126	42	.	.	PUNCT
ajase-5500	127	1	to	to	PART
ajase-5500	127	2	induce	induce	VERB
ajase-5500	127	3	sparsity	sparsity	NOUN
ajase-5500	127	4	,	,	PUNCT
ajase-5500	127	5	we	we	PRON
ajase-5500	127	6	apply	apply	VERB
ajase-5500	127	7	an	an	DET
ajase-5500	127	8	l1	l1	PROPN
ajase-5500	127	9	penalty	penalty	NOUN
ajase-5500	127	10	to	to	ADP
ajase-5500	127	11	the	the	DET
ajase-5500	127	12	loglikelihood	loglikelihood	ADJ
ajase-5500	127	13	function	function	NOUN
ajase-5500	127	14	:	:	PUNCT
ajase-5500	127	15	(	(	PUNCT
ajase-5500	127	16	8)	8)	NUM
ajase-5500	127	17	here	here	ADV
ajase-5500	127	18	,	,	PUNCT
ajase-5500	127	19	λ	λ	PROPN
ajase-5500	127	20	is	be	AUX
ajase-5500	127	21	the	the	DET
ajase-5500	127	22	tuning	tuning	NOUN
ajase-5500	127	23	parameter	parameter	NOUN
ajase-5500	127	24	that	that	PRON
ajase-5500	127	25	controls	control	VERB
ajase-5500	127	26	the	the	DET
ajase-5500	127	27	amount	amount	NOUN
ajase-5500	127	28	of	of	ADP
ajase-5500	127	29	sparsity	sparsity	NOUN
ajase-5500	127	30	imposed	impose	VERB
ajase-5500	127	31	on	on	ADP
ajase-5500	127	32	the	the	DET
ajase-5500	127	33	factor	factor	NOUN
ajase-5500	127	34	loading	loading	NOUN
ajase-5500	127	35	matrix	matrix	NOUN
ajase-5500	127	36	,	,	PUNCT
ajase-5500	127	37	and	and	CCONJ
ajase-5500	127	38	σ_t	σ_t	PRON
ajase-5500	127	39	is	be	AUX
ajase-5500	127	40	the	the	DET
ajase-5500	127	41	covariance	covariance	NOUN
ajase-5500	127	42	matrix	matrix	NOUN
ajase-5500	127	43	of	of	ADP
ajase-5500	127	44	the	the	DET
ajase-5500	127	45	idiosyncratic	idiosyncratic	ADJ
ajase-5500	127	46	errors	error	NOUN
ajase-5500	127	47	.	.	PUNCT
ajase-5500	128	1	the	the	DET
ajase-5500	128	2	l1	l1	PROPN
ajase-5500	128	3	penalty	penalty	NOUN
ajase-5500	128	4	shrinks	shrink	VERB
ajase-5500	128	5	the	the	DET
ajase-5500	128	6	factor	factor	NOUN
ajase-5500	128	7	loadings	loading	NOUN
ajase-5500	128	8	,	,	PUNCT
ajase-5500	128	9	inducing	induce	VERB
ajase-5500	128	10	sparsity	sparsity	NOUN
ajase-5500	128	11	by	by	ADP
ajase-5500	128	12	forcing	force	VERB
ajase-5500	128	13	some	some	PRON
ajase-5500	128	14	of	of	ADP
ajase-5500	128	15	the	the	DET
ajase-5500	128	16	elements	element	NOUN
ajase-5500	128	17	of	of	ADP
ajase-5500	128	18	λ	λ	PROPN
ajase-5500	128	19	to	to	ADP
ajase-5500	128	20	zero	zero	NUM
ajase-5500	128	21	.	.	PUNCT
ajase-5500	129	1	the	the	DET
ajase-5500	129	2	factor	factor	NOUN
ajase-5500	129	3	dynamics	dynamic	NOUN
ajase-5500	129	4	are	be	AUX
ajase-5500	129	5	modeled	model	VERB
ajase-5500	129	6	as	as	ADP
ajase-5500	129	7	:	:	PUNCT
ajase-5500	129	8	ft	ft	PROPN
ajase-5500	129	9	=	=	SYM
ajase-5500	129	10	φf(t-1)+ηt	φf(t-1)+ηt	PROPN
ajase-5500	129	11	,	,	PUNCT
ajase-5500	129	12	ηt∼n(0,ση	ηt∼n(0,ση	PROPN
ajase-5500	129	13	)	)	PUNCT
ajase-5500	129	14	(	(	PUNCT
ajase-5500	129	15	9	9	X
ajase-5500	129	16	)	)	PUNCT
ajase-5500	129	17	where	where	SCONJ
ajase-5500	129	18	φ	φ	PROPN
ajase-5500	129	19	is	be	AUX
ajase-5500	129	20	the	the	DET
ajase-5500	129	21	diagonal	diagonal	ADJ
ajase-5500	129	22	matrix	matrix	NOUN
ajase-5500	129	23	of	of	ADP
ajase-5500	129	24	autoregressive	autoregressive	ADJ
ajase-5500	129	25	coefficients	coefficient	NOUN
ajase-5500	129	26	,	,	PUNCT
ajase-5500	129	27	and	and	CCONJ
ajase-5500	129	28	ηt	ηt	AUX
ajase-5500	129	29	represents	represent	VERB
ajase-5500	129	30	innovations	innovation	NOUN
ajase-5500	129	31	with	with	ADP
ajase-5500	129	32	covariance	covariance	NOUN
ajase-5500	129	33	matrix	matrix	NOUN
ajase-5500	129	34	ση	ση	VERB
ajase-5500	129	35	.	.	PUNCT
ajase-5500	130	1	sparse	sparse	ADJ
ajase-5500	130	2	dynamic	dynamic	ADJ
ajase-5500	130	3	factor	factor	NOUN
ajase-5500	130	4	model	model	NOUN
ajase-5500	130	5	with	with	ADP
ajase-5500	130	6	l2	l2	NOUN
ajase-5500	130	7	penalty	penalty	NOUN
ajase-5500	130	8	the	the	DET
ajase-5500	130	9	second	second	ADJ
ajase-5500	130	10	proposed	propose	VERB
ajase-5500	130	11	model	model	NOUN
ajase-5500	130	12	introduces	introduce	NOUN
ajase-5500	130	13	group	group	NOUN
ajase-5500	130	14	sparsity	sparsity	NOUN
ajase-5500	130	15	through	through	ADP
ajase-5500	130	16	an	an	DET
ajase-5500	130	17	l2	l2	NOUN
ajase-5500	130	18	penalty	penalty	NOUN
ajase-5500	130	19	(	(	PUNCT
ajase-5500	130	20	group	group	NOUN
ajase-5500	130	21	lasso	lasso	PROPN
ajase-5500	130	22	)	)	PUNCT
ajase-5500	130	23	,	,	PUNCT
ajase-5500	130	24	which	which	PRON
ajase-5500	130	25	is	be	AUX
ajase-5500	130	26	used	use	VERB
ajase-5500	130	27	to	to	PART
ajase-5500	130	28	shrink	shrink	VERB
ajase-5500	130	29	entire	entire	ADJ
ajase-5500	130	30	columns	column	NOUN
ajase-5500	130	31	of	of	ADP
ajase-5500	130	32	the	the	DET
ajase-5500	130	33	factor	factor	NOUN
ajase-5500	130	34	loading	loading	NOUN
ajase-5500	130	35	matrix	matrix	NOUN
ajase-5500	130	36	λ	λ	NOUN
ajase-5500	130	37	toward	toward	ADP
ajase-5500	130	38	zero	zero	NUM
ajase-5500	130	39	,	,	PUNCT
ajase-5500	130	40	promoting	promote	VERB
ajase-5500	130	41	group	group	NOUN
ajase-5500	130	42	-	-	PUNCT
ajase-5500	130	43	level	level	NOUN
ajase-5500	130	44	sparsity	sparsity	NOUN
ajase-5500	130	45	.	.	PUNCT
ajase-5500	131	1	this	this	DET
ajase-5500	131	2	model	model	NOUN
ajase-5500	131	3	is	be	AUX
ajase-5500	131	4	particularly	particularly	ADV
ajase-5500	131	5	useful	useful	ADJ
ajase-5500	131	6	when	when	SCONJ
ajase-5500	131	7	the	the	DET
ajase-5500	131	8	goal	goal	NOUN
ajase-5500	131	9	is	be	AUX
ajase-5500	131	10	to	to	PART
ajase-5500	131	11	select	select	VERB
ajase-5500	131	12	relevant	relevant	ADJ
ajase-5500	131	13	latent	latent	NOUN
ajase-5500	131	14	factors	factor	NOUN
ajase-5500	131	15	while	while	SCONJ
ajase-5500	131	16	discarding	discard	VERB
ajase-5500	131	17	others	other	NOUN
ajase-5500	131	18	completely	completely	ADV
ajase-5500	131	19	.	.	PUNCT
ajase-5500	132	1	the	the	DET
ajase-5500	132	2	model	model	NOUN
ajase-5500	132	3	for	for	ADP
ajase-5500	132	4	the	the	DET
ajase-5500	132	5	observations	observation	NOUN
ajase-5500	132	6	is	be	AUX
ajase-5500	132	7	:	:	PUNCT
ajase-5500	132	8	(	(	PUNCT
ajase-5500	132	9	yt	yt	NOUN
ajase-5500	132	10	=	=	NOUN
ajase-5500	132	11	λft+εt	λft+εt	NOUN
ajase-5500	132	12	,	,	PUNCT
ajase-5500	132	13	εt∼n(0,σε	εt∼n(0,σε	NUM
ajase-5500	132	14	)	)	PUNCT
ajase-5500	132	15	(	(	PUNCT
ajase-5500	132	16	10	10	NUM
ajase-5500	132	17	)	)	PUNCT
ajase-5500	132	18	where	where	SCONJ
ajase-5500	132	19	:	:	PUNCT
ajase-5500	132	20	•	•	NUM
ajase-5500	132	21	yt	yt	NOUN
ajase-5500	132	22	is	be	AUX
ajase-5500	132	23	the	the	DET
ajase-5500	132	24	observed	observe	VERB
ajase-5500	132	25	data	data	NOUN
ajase-5500	132	26	vector	vector	NOUN
ajase-5500	132	27	at	at	ADP
ajase-5500	132	28	time	time	NOUN
ajase-5500	132	29	t	t	PROPN
ajase-5500	132	30	,	,	PUNCT
ajase-5500	132	31	•	•	NUM
ajase-5500	132	32	λ	λ	PROPN
ajase-5500	132	33	is	be	AUX
ajase-5500	132	34	the	the	DET
ajase-5500	132	35	factor	factor	NOUN
ajase-5500	132	36	loading	loading	NOUN
ajase-5500	132	37	matrix	matrix	NOUN
ajase-5500	132	38	,	,	PUNCT
ajase-5500	132	39	with	with	ADP
ajase-5500	132	40	group	group	NOUN
ajase-5500	132	41	sparsity	sparsity	NOUN
ajase-5500	132	42	imposed	impose	VERB
ajase-5500	132	43	on	on	ADP
ajase-5500	132	44	its	its	PRON
ajase-5500	132	45	columns	column	NOUN
ajase-5500	132	46	.	.	PUNCT
ajase-5500	133	1	model	model	NOUN
ajase-5500	133	2	selection	selection	NOUN
ajase-5500	133	3	criteria	criterion	NOUN
ajase-5500	133	4	akaike	akaike	ADP
ajase-5500	133	5	’s	’s	PART
ajase-5500	133	6	information	information	NOUN
ajase-5500	133	7	criterion	criterion	NOUN
ajase-5500	133	8	aic=-2	aic=-2	X
ajase-5500	134	1	log(l)+2k	log(l)+2k	PROPN
ajase-5500	134	2	(	(	PUNCT
ajase-5500	134	3	11	11	NUM
ajase-5500	134	4	)	)	PUNCT
ajase-5500	134	5	pa	pa	PROPN
ajase-5500	134	6	ge	ge	PROPN
ajase-5500	134	7	74	74	NUM
ajase-5500	134	8	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	134	9	am	be	AUX
ajase-5500	134	10	.	.	PUNCT
ajase-5500	135	1	j.	j.	PROPN
ajase-5500	135	2	appl	appl	PROPN
ajase-5500	135	3	.	.	PROPN
ajase-5500	136	1	stat	stat	PROPN
ajase-5500	136	2	.	.	PUNCT
ajase-5500	137	1	econ	econ	PROPN
ajase-5500	137	2	.	.	PUNCT
ajase-5500	138	1	4(1	4(1	X
ajase-5500	138	2	)	)	PUNCT
ajase-5500	139	1	70	70	NUM
ajase-5500	139	2	-	-	SYM
ajase-5500	139	3	79	79	NUM
ajase-5500	139	4	,	,	PUNCT
ajase-5500	139	5	2025	2025	NUM
ajase-5500	139	6	hannan	hannan	PROPN
ajase-5500	139	7	–	–	PUNCT
ajase-5500	139	8	quinn	quinn	NOUN
ajase-5500	139	9	information	information	NOUN
ajase-5500	139	10	criterion	criterion	NOUN
ajase-5500	139	11	hqc=-2lmax+2kln(ln	hqc=-2lmax+2kln(ln	NOUN
ajase-5500	139	12	(	(	PUNCT
ajase-5500	139	13	n	n	CCONJ
ajase-5500	139	14	)	)	PUNCT
ajase-5500	139	15	(	(	PUNCT
ajase-5500	139	16	12	12	X
ajase-5500	139	17	)	)	PUNCT
ajase-5500	139	18	bayesian	bayesian	NOUN
ajase-5500	139	19	information	information	NOUN
ajase-5500	139	20	criterion	criterion	NOUN
ajase-5500	139	21	bic	bic	NOUN
ajase-5500	139	22	=	=	NOUN
ajase-5500	139	23	aic+k(log	aic+k(log	NOUN
ajase-5500	139	24	(	(	PUNCT
ajase-5500	139	25	t)-2	t)-2	PROPN
ajase-5500	139	26	(	(	PUNCT
ajase-5500	139	27	13	13	NUM
ajase-5500	139	28	)	)	PUNCT
ajase-5500	139	29	mean	mean	VERB
ajase-5500	139	30	squared	square	VERB
ajase-5500	139	31	error	error	NOUN
ajase-5500	139	32	(	(	PUNCT
ajase-5500	139	33	mse	mse	NOUN
ajase-5500	139	34	)	)	PUNCT
ajase-5500	139	35	=	=	SYM
ajase-5500	140	1	1	1	NUM
ajase-5500	140	2	/	/	SYM
ajase-5500	140	3	n	n	CCONJ
ajase-5500	140	4	∑n	∑n	PROPN
ajase-5500	140	5	(	(	PUNCT
ajase-5500	140	6	i=1	i=1	PROPN
ajase-5500	140	7	)	)	PUNCT
ajase-5500	140	8	(	(	PUNCT
ajase-5500	140	9	ŷi-(ŷi	ŷi-(ŷi	NOUN
ajase-5500	140	10	)	)	PUNCT
ajase-5500	140	11	)	)	PUNCT
ajase-5500	140	12	2	2	NUM
ajase-5500	140	13	where	where	SCONJ
ajase-5500	140	14	;	;	PUNCT
ajase-5500	140	15	l	l	NOUN
ajase-5500	140	16	is	be	AUX
ajase-5500	140	17	the	the	DET
ajase-5500	140	18	likelihood	likelihood	NOUN
ajase-5500	140	19	,	,	PUNCT
ajase-5500	140	20	k	k	PROPN
ajase-5500	140	21	is	be	AUX
ajase-5500	140	22	the	the	DET
ajase-5500	140	23	number	number	NOUN
ajase-5500	140	24	of	of	ADP
ajase-5500	140	25	model	model	NOUN
ajase-5500	140	26	parameters	parameter	NOUN
ajase-5500	140	27	,	,	PUNCT
ajase-5500	140	28	y	y	PROPN
ajase-5500	140	29	is	be	AUX
ajase-5500	140	30	the	the	DET
ajase-5500	140	31	vector	vector	NOUN
ajase-5500	140	32	of	of	ADP
ajase-5500	140	33	observed	observed	ADJ
ajase-5500	140	34	values	value	NOUN
ajase-5500	140	35	,	,	PUNCT
ajase-5500	140	36	ŷi	ŷi	PROPN
ajase-5500	140	37	is	be	AUX
ajase-5500	140	38	the	the	DET
ajase-5500	140	39	variable	variable	ADJ
ajase-5500	140	40	being	be	AUX
ajase-5500	140	41	predicted	predict	VERB
ajase-5500	140	42	,	,	PUNCT
ajase-5500	140	43	n	n	PRON
ajase-5500	140	44	is	be	AUX
ajase-5500	140	45	the	the	DET
ajase-5500	140	46	number	number	NOUN
ajase-5500	140	47	of	of	ADP
ajase-5500	140	48	observations	observation	NOUN
ajase-5500	140	49	,	,	PUNCT
ajase-5500	140	50	lmax	lmax	PROPN
ajase-5500	140	51	is	be	AUX
ajase-5500	140	52	the	the	DET
ajase-5500	140	53	log	log	NOUN
ajase-5500	140	54	-	-	PUNCT
ajase-5500	140	55	likelihood	likelihood	NOUN
ajase-5500	140	56	.	.	PUNCT
ajase-5500	141	1	results	result	NOUN
ajase-5500	141	2	and	and	CCONJ
ajase-5500	141	3	discussion	discussion	NOUN
ajase-5500	141	4	summary	summary	NOUN
ajase-5500	141	5	statistics	statistic	NOUN
ajase-5500	141	6	the	the	DET
ajase-5500	141	7	summary	summary	NOUN
ajase-5500	141	8	statistics	statistic	NOUN
ajase-5500	141	9	of	of	ADP
ajase-5500	141	10	the	the	DET
ajase-5500	141	11	climate	climate	NOUN
ajase-5500	141	12	dataset	dataset	NOUN
ajase-5500	141	13	shows	show	VERB
ajase-5500	141	14	the	the	DET
ajase-5500	141	15	long	long	ADJ
ajase-5500	141	16	-	-	PUNCT
ajase-5500	141	17	term	term	NOUN
ajase-5500	141	18	trends	trend	NOUN
ajase-5500	141	19	and	and	CCONJ
ajase-5500	141	20	variability	variability	NOUN
ajase-5500	141	21	of	of	ADP
ajase-5500	141	22	key	key	ADJ
ajase-5500	141	23	climate	climate	NOUN
ajase-5500	141	24	indicators	indicator	NOUN
ajase-5500	141	25	in	in	ADP
ajase-5500	141	26	nigeria	nigeria	PROPN
ajase-5500	141	27	.	.	PUNCT
ajase-5500	142	1	the	the	DET
ajase-5500	142	2	annual	annual	ADJ
ajase-5500	142	3	average	average	ADJ
ajase-5500	142	4	mean	mean	NOUN
ajase-5500	142	5	surface	surface	NOUN
ajase-5500	142	6	air	air	NOUN
ajase-5500	142	7	temperature	temperature	NOUN
ajase-5500	142	8	remains	remain	VERB
ajase-5500	142	9	relatively	relatively	ADV
ajase-5500	142	10	stable	stable	ADJ
ajase-5500	142	11	,	,	PUNCT
ajase-5500	142	12	with	with	ADP
ajase-5500	142	13	a	a	DET
ajase-5500	142	14	mean	mean	NOUN
ajase-5500	142	15	of	of	ADP
ajase-5500	142	16	26.68	26.68	NUM
ajase-5500	142	17	°	°	NOUN
ajase-5500	142	18	c	c	NOUN
ajase-5500	142	19	and	and	CCONJ
ajase-5500	142	20	a	a	DET
ajase-5500	142	21	standard	standard	ADJ
ajase-5500	142	22	deviation	deviation	NOUN
ajase-5500	142	23	of	of	ADP
ajase-5500	142	24	0.49	0.49	NUM
ajase-5500	142	25	°	°	NOUN
ajase-5500	142	26	c	c	NOUN
ajase-5500	142	27	.	.	PUNCT
ajase-5500	143	1	the	the	DET
ajase-5500	143	2	difference	difference	NOUN
ajase-5500	143	3	between	between	ADP
ajase-5500	143	4	the	the	DET
ajase-5500	143	5	minimum	minimum	NOUN
ajase-5500	143	6	(	(	PUNCT
ajase-5500	143	7	25.49	25.49	NUM
ajase-5500	143	8	°	°	NOUN
ajase-5500	143	9	c	c	NOUN
ajase-5500	143	10	)	)	PUNCT
ajase-5500	143	11	and	and	CCONJ
ajase-5500	143	12	maximum	maximum	ADJ
ajase-5500	143	13	(	(	PUNCT
ajase-5500	143	14	27.73	27.73	NUM
ajase-5500	143	15	°	°	NOUN
ajase-5500	143	16	c	c	NOUN
ajase-5500	143	17	)	)	PUNCT
ajase-5500	143	18	values	value	NOUN
ajase-5500	143	19	suggests	suggest	VERB
ajase-5500	143	20	that	that	SCONJ
ajase-5500	143	21	the	the	DET
ajase-5500	143	22	region	region	NOUN
ajase-5500	143	23	experiences	experience	VERB
ajase-5500	143	24	only	only	ADV
ajase-5500	143	25	minor	minor	ADJ
ajase-5500	143	26	fluctuations	fluctuation	NOUN
ajase-5500	143	27	in	in	ADP
ajase-5500	143	28	temperature	temperature	NOUN
ajase-5500	143	29	across	across	ADP
ajase-5500	143	30	years	year	NOUN
ajase-5500	143	31	.	.	PUNCT
ajase-5500	144	1	precipitation	precipitation	NOUN
ajase-5500	144	2	,	,	PUNCT
ajase-5500	144	3	on	on	ADP
ajase-5500	144	4	the	the	DET
ajase-5500	144	5	other	other	ADJ
ajase-5500	144	6	hand	hand	NOUN
ajase-5500	144	7	,	,	PUNCT
ajase-5500	144	8	exhibits	exhibit	VERB
ajase-5500	144	9	greater	great	ADJ
ajase-5500	144	10	variability	variability	NOUN
ajase-5500	144	11	,	,	PUNCT
ajase-5500	144	12	with	with	ADP
ajase-5500	144	13	an	an	DET
ajase-5500	144	14	annual	annual	ADJ
ajase-5500	144	15	mean	mean	NOUN
ajase-5500	144	16	of	of	ADP
ajase-5500	144	17	1089.90	1089.90	NUM
ajase-5500	144	18	mm	mm	NOUN
ajase-5500	144	19	and	and	CCONJ
ajase-5500	144	20	a	a	DET
ajase-5500	144	21	standard	standard	ADJ
ajase-5500	144	22	deviation	deviation	NOUN
ajase-5500	144	23	of	of	ADP
ajase-5500	144	24	109.23	109.23	NUM
ajase-5500	144	25	mm	mm	NOUN
ajase-5500	144	26	.	.	PUNCT
ajase-5500	145	1	the	the	DET
ajase-5500	145	2	minimum	minimum	ADJ
ajase-5500	145	3	recorded	record	VERB
ajase-5500	145	4	precipitation	precipitation	NOUN
ajase-5500	145	5	of	of	ADP
ajase-5500	145	6	770.75	770.75	NUM
ajase-5500	145	7	mm	mm	NOUN
ajase-5500	145	8	and	and	CCONJ
ajase-5500	145	9	a	a	DET
ajase-5500	145	10	maximum	maximum	NOUN
ajase-5500	145	11	of	of	ADP
ajase-5500	145	12	1319.71	1319.71	NUM
ajase-5500	145	13	mm	mm	NOUN
ajase-5500	145	14	highlight	highlight	VERB
ajase-5500	145	15	significant	significant	ADJ
ajase-5500	145	16	inter	inter	ADJ
ajase-5500	145	17	-	-	ADJ
ajase-5500	145	18	annual	annual	ADJ
ajase-5500	145	19	differences	difference	NOUN
ajase-5500	145	20	in	in	ADP
ajase-5500	145	21	rainfall	rainfall	NOUN
ajase-5500	145	22	levels	level	NOUN
ajase-5500	145	23	.	.	PUNCT
ajase-5500	146	1	the	the	DET
ajase-5500	146	2	number	number	NOUN
ajase-5500	146	3	of	of	ADP
ajase-5500	146	4	extreme	extreme	ADJ
ajase-5500	146	5	heat	heat	NOUN
ajase-5500	146	6	days	day	NOUN
ajase-5500	146	7	,	,	PUNCT
ajase-5500	146	8	defined	define	VERB
ajase-5500	146	9	as	as	ADP
ajase-5500	146	10	days	day	NOUN
ajase-5500	146	11	with	with	ADP
ajase-5500	146	12	a	a	DET
ajase-5500	146	13	heat	heat	NOUN
ajase-5500	146	14	index	index	NOUN
ajase-5500	146	15	exceeding	exceed	VERB
ajase-5500	146	16	35	35	NUM
ajase-5500	146	17	°	°	NOUN
ajase-5500	146	18	c	c	NOUN
ajase-5500	146	19	,	,	PUNCT
ajase-5500	146	20	shows	show	VERB
ajase-5500	146	21	considerable	considerable	ADJ
ajase-5500	146	22	variation	variation	NOUN
ajase-5500	146	23	,	,	PUNCT
ajase-5500	146	24	with	with	ADP
ajase-5500	146	25	an	an	DET
ajase-5500	146	26	average	average	NOUN
ajase-5500	146	27	of	of	ADP
ajase-5500	146	28	6.87	6.87	NUM
ajase-5500	146	29	days	day	NOUN
ajase-5500	146	30	per	per	ADP
ajase-5500	146	31	year	year	NOUN
ajase-5500	146	32	and	and	CCONJ
ajase-5500	146	33	a	a	DET
ajase-5500	146	34	wide	wide	ADJ
ajase-5500	146	35	range	range	NOUN
ajase-5500	146	36	between	between	ADP
ajase-5500	146	37	0.16	0.16	NUM
ajase-5500	146	38	days	day	NOUN
ajase-5500	146	39	and	and	CCONJ
ajase-5500	146	40	27.04	27.04	NUM
ajase-5500	146	41	days	day	NOUN
ajase-5500	146	42	.	.	PUNCT
ajase-5500	147	1	the	the	DET
ajase-5500	147	2	large	large	ADJ
ajase-5500	147	3	standard	standard	ADJ
ajase-5500	147	4	deviation	deviation	NOUN
ajase-5500	147	5	of	of	ADP
ajase-5500	147	6	6.25	6.25	NUM
ajase-5500	147	7	days	day	NOUN
ajase-5500	147	8	suggests	suggest	VERB
ajase-5500	147	9	an	an	DET
ajase-5500	147	10	increasing	increase	VERB
ajase-5500	147	11	frequency	frequency	NOUN
ajase-5500	147	12	of	of	ADP
ajase-5500	147	13	extreme	extreme	ADJ
ajase-5500	147	14	heat	heat	NOUN
ajase-5500	147	15	events	event	NOUN
ajase-5500	147	16	in	in	ADP
ajase-5500	147	17	certain	certain	ADJ
ajase-5500	147	18	years	year	NOUN
ajase-5500	147	19	.	.	PUNCT
ajase-5500	148	1	another	another	DET
ajase-5500	148	2	important	important	ADJ
ajase-5500	148	3	climatic	climatic	ADJ
ajase-5500	148	4	factor	factor	NOUN
ajase-5500	148	5	is	be	AUX
ajase-5500	148	6	the	the	DET
ajase-5500	148	7	number	number	NOUN
ajase-5500	148	8	of	of	ADP
ajase-5500	148	9	consecutive	consecutive	ADJ
ajase-5500	148	10	wet	wet	ADJ
ajase-5500	148	11	days	day	NOUN
ajase-5500	148	12	,	,	PUNCT
ajase-5500	148	13	which	which	PRON
ajase-5500	148	14	measures	measure	VERB
ajase-5500	148	15	the	the	DET
ajase-5500	148	16	persistence	persistence	NOUN
ajase-5500	148	17	of	of	ADP
ajase-5500	148	18	rainy	rainy	ADJ
ajase-5500	148	19	periods	period	NOUN
ajase-5500	148	20	.	.	PUNCT
ajase-5500	149	1	the	the	DET
ajase-5500	149	2	dataset	dataset	NOUN
ajase-5500	149	3	reveals	reveal	VERB
ajase-5500	149	4	an	an	DET
ajase-5500	149	5	average	average	NOUN
ajase-5500	149	6	of	of	ADP
ajase-5500	149	7	35.16	35.16	NUM
ajase-5500	149	8	consecutive	consecutive	ADJ
ajase-5500	149	9	wet	wet	ADJ
ajase-5500	149	10	days	day	NOUN
ajase-5500	149	11	per	per	ADP
ajase-5500	149	12	year	year	NOUN
ajase-5500	149	13	,	,	PUNCT
ajase-5500	149	14	with	with	ADP
ajase-5500	149	15	a	a	DET
ajase-5500	149	16	standard	standard	ADJ
ajase-5500	149	17	deviation	deviation	NOUN
ajase-5500	149	18	of	of	ADP
ajase-5500	149	19	6.52	6.52	NUM
ajase-5500	149	20	days	day	NOUN
ajase-5500	149	21	.	.	PUNCT
ajase-5500	150	1	the	the	DET
ajase-5500	150	2	minimum	minimum	ADJ
ajase-5500	150	3	value	value	NOUN
ajase-5500	150	4	of	of	ADP
ajase-5500	150	5	24.1	24.1	NUM
ajase-5500	150	6	days	day	NOUN
ajase-5500	150	7	and	and	CCONJ
ajase-5500	150	8	a	a	DET
ajase-5500	150	9	maximum	maximum	NOUN
ajase-5500	150	10	of	of	ADP
ajase-5500	150	11	58.08	58.08	NUM
ajase-5500	150	12	days	day	NOUN
ajase-5500	150	13	highlight	highlight	VERB
ajase-5500	150	14	significant	significant	ADJ
ajase-5500	150	15	fluctuations	fluctuation	NOUN
ajase-5500	150	16	in	in	ADP
ajase-5500	150	17	wet	wet	ADJ
ajase-5500	150	18	spell	spell	NOUN
ajase-5500	150	19	durations	duration	NOUN
ajase-5500	150	20	.	.	PUNCT
ajase-5500	151	1	table	table	NOUN
ajase-5500	151	2	1	1	NUM
ajase-5500	151	3	:	:	PUNCT
ajase-5500	151	4	summary	summary	NOUN
ajase-5500	151	5	of	of	ADP
ajase-5500	151	6	climatic	climatic	ADJ
ajase-5500	151	7	data	datum	NOUN
ajase-5500	151	8	metric	metric	ADJ
ajase-5500	151	9	air	air	NOUN
ajase-5500	151	10	-	-	PUNCT
ajase-5500	151	11	temp	temp	NOUN
ajase-5500	151	12	precipitation	precipitation	NOUN
ajase-5500	151	13	heat	heat	NOUN
ajase-5500	151	14	-	-	PUNCT
ajase-5500	151	15	days	day	NOUN
ajase-5500	151	16	wet	wet	ADJ
ajase-5500	151	17	-	-	PUNCT
ajase-5500	151	18	days	day	NOUN
ajase-5500	151	19	mean	mean	NOUN
ajase-5500	151	20	26.68324	26.68324	NUM
ajase-5500	152	1	1089.903	1089.903	NUM
ajase-5500	152	2	6.869718	6.869718	NUM
ajase-5500	152	3	35.16296	35.16296	NUM
ajase-5500	152	4	standard	standard	ADJ
ajase-5500	152	5	deviation	deviation	NOUN
ajase-5500	152	6	0.4929294	0.4929294	NUM
ajase-5500	152	7	109.2348	109.2348	NUM
ajase-5500	152	8	6.248001	6.248001	NUM
ajase-5500	152	9	6.516089	6.516089	NUM
ajase-5500	152	10	minimum	minimum	NOUN
ajase-5500	152	11	25.49	25.49	NUM
ajase-5500	152	12	770.75	770.75	NUM
ajase-5500	152	13	0.16	0.16	NUM
ajase-5500	152	14	24.1	24.1	NUM
ajase-5500	152	15	maximum	maximum	ADJ
ajase-5500	152	16	27.73	27.73	NUM
ajase-5500	152	17	1319.71	1319.71	NUM
ajase-5500	152	18	27.04	27.04	NUM
ajase-5500	152	19	58.08	58.08	NUM
ajase-5500	152	20	source	source	NOUN
ajase-5500	152	21	:	:	PUNCT
ajase-5500	152	22	extracted	extract	VERB
ajase-5500	152	23	by	by	ADP
ajase-5500	152	24	the	the	DET
ajase-5500	152	25	researcher	researcher	NOUN
ajase-5500	152	26	from	from	ADP
ajase-5500	152	27	r	r	NOUN
ajase-5500	152	28	output	output	NOUN
ajase-5500	152	29	figure	figure	NOUN
ajase-5500	152	30	1	1	NUM
ajase-5500	152	31	:	:	PUNCT
ajase-5500	152	32	air	air	NOUN
ajase-5500	152	33	temperature	temperature	NOUN
ajase-5500	152	34	,	,	PUNCT
ajase-5500	152	35	precipitation	precipitation	NOUN
ajase-5500	152	36	,	,	PUNCT
ajase-5500	152	37	heat	heat	NOUN
ajase-5500	152	38	index	index	NOUN
ajase-5500	152	39	days	day	NOUN
ajase-5500	152	40	and	and	CCONJ
ajase-5500	152	41	max	max	PROPN
ajase-5500	152	42	consecutive	consecutive	ADJ
ajase-5500	152	43	wet	wet	ADJ
ajase-5500	152	44	days	day	NOUN
ajase-5500	152	45	trend	trend	NOUN
ajase-5500	152	46	pa	pa	PROPN
ajase-5500	152	47	ge	ge	PROPN
ajase-5500	152	48	75	75	NUM
ajase-5500	152	49	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	152	50	am	be	AUX
ajase-5500	152	51	.	.	PUNCT
ajase-5500	153	1	j.	j.	PROPN
ajase-5500	153	2	appl	appl	PROPN
ajase-5500	153	3	.	.	PROPN
ajase-5500	154	1	stat	stat	PROPN
ajase-5500	154	2	.	.	PUNCT
ajase-5500	155	1	econ	econ	PROPN
ajase-5500	155	2	.	.	PUNCT
ajase-5500	156	1	4(1	4(1	X
ajase-5500	156	2	)	)	PUNCT
ajase-5500	157	1	70	70	NUM
ajase-5500	157	2	-	-	SYM
ajase-5500	157	3	79	79	NUM
ajase-5500	157	4	,	,	PUNCT
ajase-5500	157	5	2025	2025	NUM
ajase-5500	157	6	the	the	DET
ajase-5500	157	7	annual	annual	ADJ
ajase-5500	157	8	average	average	ADJ
ajase-5500	157	9	air	air	NOUN
ajase-5500	157	10	temperature	temperature	NOUN
ajase-5500	157	11	trend	trend	NOUN
ajase-5500	157	12	in	in	ADP
ajase-5500	157	13	the	the	DET
ajase-5500	157	14	image	image	NOUN
ajase-5500	157	15	shows	show	VERB
ajase-5500	157	16	a	a	DET
ajase-5500	157	17	clear	clear	ADJ
ajase-5500	157	18	upward	upward	ADJ
ajase-5500	157	19	trajectory	trajectory	NOUN
ajase-5500	157	20	,	,	PUNCT
ajase-5500	157	21	indicating	indicate	VERB
ajase-5500	157	22	a	a	DET
ajase-5500	157	23	long	long	ADJ
ajase-5500	157	24	-	-	PUNCT
ajase-5500	157	25	term	term	NOUN
ajase-5500	157	26	rise	rise	NOUN
ajase-5500	157	27	in	in	ADP
ajase-5500	157	28	temperature	temperature	NOUN
ajase-5500	157	29	over	over	ADP
ajase-5500	157	30	the	the	DET
ajase-5500	157	31	years	year	NOUN
ajase-5500	157	32	.	.	PUNCT
ajase-5500	158	1	despite	despite	SCONJ
ajase-5500	158	2	noticeable	noticeable	ADJ
ajase-5500	158	3	short	short	ADJ
ajase-5500	158	4	-	-	PUNCT
ajase-5500	158	5	term	term	NOUN
ajase-5500	158	6	fluctuations	fluctuation	NOUN
ajase-5500	158	7	,	,	PUNCT
ajase-5500	158	8	likely	likely	ADJ
ajase-5500	158	9	due	due	ADP
ajase-5500	158	10	to	to	ADP
ajase-5500	158	11	climatic	climatic	ADJ
ajase-5500	158	12	oscillations	oscillation	NOUN
ajase-5500	158	13	or	or	CCONJ
ajase-5500	158	14	extreme	extreme	ADJ
ajase-5500	158	15	weather	weather	NOUN
ajase-5500	158	16	events	event	NOUN
ajase-5500	158	17	,	,	PUNCT
ajase-5500	158	18	the	the	DET
ajase-5500	158	19	overall	overall	ADJ
ajase-5500	158	20	trend	trend	NOUN
ajase-5500	158	21	suggests	suggest	VERB
ajase-5500	158	22	a	a	DET
ajase-5500	158	23	warming	warming	NOUN
ajase-5500	158	24	pattern	pattern	NOUN
ajase-5500	158	25	consistent	consistent	ADJ
ajase-5500	158	26	with	with	ADP
ajase-5500	158	27	global	global	ADJ
ajase-5500	158	28	climate	climate	NOUN
ajase-5500	158	29	change	change	NOUN
ajase-5500	158	30	.	.	PUNCT
ajase-5500	159	1	the	the	DET
ajase-5500	159	2	increasing	increase	VERB
ajase-5500	159	3	frequency	frequency	NOUN
ajase-5500	159	4	and	and	CCONJ
ajase-5500	159	5	intensity	intensity	NOUN
ajase-5500	159	6	of	of	ADP
ajase-5500	159	7	hightemperature	hightemperature	NOUN
ajase-5500	159	8	spikes	spike	NOUN
ajase-5500	159	9	in	in	ADP
ajase-5500	159	10	recent	recent	ADJ
ajase-5500	159	11	decades	decade	NOUN
ajase-5500	159	12	reinforce	reinforce	VERB
ajase-5500	159	13	concerns	concern	NOUN
ajase-5500	159	14	about	about	ADP
ajase-5500	159	15	rising	rise	VERB
ajase-5500	159	16	greenhouse	greenhouse	NOUN
ajase-5500	159	17	gas	gas	NOUN
ajase-5500	159	18	emissions	emission	NOUN
ajase-5500	159	19	,	,	PUNCT
ajase-5500	159	20	urbanization	urbanization	NOUN
ajase-5500	159	21	effects	effect	NOUN
ajase-5500	159	22	,	,	PUNCT
ajase-5500	159	23	and	and	CCONJ
ajase-5500	159	24	natural	natural	ADJ
ajase-5500	159	25	climate	climate	NOUN
ajase-5500	159	26	variability	variability	NOUN
ajase-5500	159	27	.	.	PUNCT
ajase-5500	160	1	the	the	DET
ajase-5500	160	2	annual	annual	ADJ
ajase-5500	160	3	precipitation	precipitation	NOUN
ajase-5500	160	4	trend	trend	NOUN
ajase-5500	160	5	shown	show	VERB
ajase-5500	160	6	in	in	ADP
ajase-5500	160	7	the	the	DET
ajase-5500	160	8	image	image	NOUN
ajase-5500	160	9	indicates	indicate	VERB
ajase-5500	160	10	significant	significant	ADJ
ajase-5500	160	11	variability	variability	NOUN
ajase-5500	160	12	in	in	ADP
ajase-5500	160	13	precipitation	precipitation	NOUN
ajase-5500	160	14	levels	level	NOUN
ajase-5500	160	15	over	over	ADP
ajase-5500	160	16	time	time	NOUN
ajase-5500	160	17	,	,	PUNCT
ajase-5500	160	18	with	with	ADP
ajase-5500	160	19	fluctuations	fluctuation	NOUN
ajase-5500	160	20	across	across	ADP
ajase-5500	160	21	different	different	ADJ
ajase-5500	160	22	years	year	NOUN
ajase-5500	160	23	.	.	PUNCT
ajase-5500	161	1	while	while	SCONJ
ajase-5500	161	2	no	no	DET
ajase-5500	161	3	strong	strong	ADJ
ajase-5500	161	4	increasing	increase	VERB
ajase-5500	161	5	or	or	CCONJ
ajase-5500	161	6	decreasing	decrease	VERB
ajase-5500	161	7	trend	trend	NOUN
ajase-5500	161	8	is	be	AUX
ajase-5500	161	9	apparent	apparent	ADJ
ajase-5500	161	10	,	,	PUNCT
ajase-5500	161	11	the	the	DET
ajase-5500	161	12	data	datum	NOUN
ajase-5500	161	13	suggests	suggest	VERB
ajase-5500	161	14	intermittent	intermittent	ADJ
ajase-5500	161	15	periods	period	NOUN
ajase-5500	161	16	of	of	ADP
ajase-5500	161	17	high	high	ADJ
ajase-5500	161	18	and	and	CCONJ
ajase-5500	161	19	low	low	ADJ
ajase-5500	161	20	rainfall	rainfall	NOUN
ajase-5500	161	21	,	,	PUNCT
ajase-5500	161	22	potentially	potentially	ADV
ajase-5500	161	23	influenced	influence	VERB
ajase-5500	161	24	by	by	ADP
ajase-5500	161	25	climatic	climatic	ADJ
ajase-5500	161	26	cycles	cycle	NOUN
ajase-5500	161	27	such	such	ADJ
ajase-5500	161	28	as	as	ADP
ajase-5500	161	29	el	el	PROPN
ajase-5500	161	30	niñosouthern	niñosouthern	PROPN
ajase-5500	161	31	oscillation	oscillation	NOUN
ajase-5500	161	32	(	(	PUNCT
ajase-5500	161	33	enso	enso	PROPN
ajase-5500	161	34	)	)	PUNCT
ajase-5500	161	35	or	or	CCONJ
ajase-5500	161	36	regional	regional	ADJ
ajase-5500	161	37	weather	weather	NOUN
ajase-5500	161	38	patterns	pattern	NOUN
ajase-5500	161	39	.	.	PUNCT
ajase-5500	162	1	the	the	DET
ajase-5500	162	2	annual	annual	ADJ
ajase-5500	162	3	number	number	NOUN
ajase-5500	162	4	of	of	ADP
ajase-5500	162	5	days	day	NOUN
ajase-5500	162	6	with	with	ADP
ajase-5500	162	7	heat	heat	NOUN
ajase-5500	162	8	index	index	NOUN
ajase-5500	162	9	>	>	X
ajase-5500	162	10	35	35	NUM
ajase-5500	162	11	°	°	NUM
ajase-5500	162	12	c	c	NOUN
ajase-5500	162	13	trend	trend	NOUN
ajase-5500	162	14	reveals	reveal	VERB
ajase-5500	162	15	a	a	DET
ajase-5500	162	16	significant	significant	ADJ
ajase-5500	162	17	and	and	CCONJ
ajase-5500	162	18	accelerating	accelerate	VERB
ajase-5500	162	19	increase	increase	NOUN
ajase-5500	162	20	over	over	ADP
ajase-5500	162	21	the	the	DET
ajase-5500	162	22	years	year	NOUN
ajase-5500	162	23	,	,	PUNCT
ajase-5500	162	24	particularly	particularly	ADV
ajase-5500	162	25	from	from	ADP
ajase-5500	162	26	the	the	DET
ajase-5500	162	27	1980s	1980	NOUN
ajase-5500	162	28	onward	onward	NOUN
ajase-5500	162	29	.	.	PUNCT
ajase-5500	163	1	the	the	DET
ajase-5500	163	2	number	number	NOUN
ajase-5500	163	3	of	of	ADP
ajase-5500	163	4	extreme	extreme	ADJ
ajase-5500	163	5	heat	heat	NOUN
ajase-5500	163	6	days	day	NOUN
ajase-5500	163	7	remained	remain	VERB
ajase-5500	163	8	relatively	relatively	ADV
ajase-5500	163	9	low	low	ADJ
ajase-5500	163	10	in	in	ADP
ajase-5500	163	11	the	the	DET
ajase-5500	163	12	early	early	ADJ
ajase-5500	163	13	decades	decade	NOUN
ajase-5500	163	14	but	but	CCONJ
ajase-5500	163	15	has	have	AUX
ajase-5500	163	16	risen	rise	VERB
ajase-5500	163	17	sharply	sharply	ADV
ajase-5500	163	18	in	in	ADP
ajase-5500	163	19	recent	recent	ADJ
ajase-5500	163	20	years	year	NOUN
ajase-5500	163	21	,	,	PUNCT
ajase-5500	163	22	reaching	reach	VERB
ajase-5500	163	23	peaks	peak	NOUN
ajase-5500	163	24	exceeding	exceed	VERB
ajase-5500	163	25	20	20	NUM
ajase-5500	163	26	days	day	NOUN
ajase-5500	163	27	per	per	ADP
ajase-5500	163	28	year	year	NOUN
ajase-5500	163	29	.	.	PUNCT
ajase-5500	164	1	this	this	DET
ajase-5500	164	2	upward	upward	ADJ
ajase-5500	164	3	trend	trend	NOUN
ajase-5500	164	4	suggests	suggest	VERB
ajase-5500	164	5	intensifying	intensify	VERB
ajase-5500	164	6	heat	heat	NOUN
ajase-5500	164	7	stress	stress	NOUN
ajase-5500	164	8	,	,	PUNCT
ajase-5500	164	9	likely	likely	ADV
ajase-5500	164	10	driven	drive	VERB
ajase-5500	164	11	by	by	ADP
ajase-5500	164	12	global	global	ADJ
ajase-5500	164	13	warming	warming	NOUN
ajase-5500	164	14	and	and	CCONJ
ajase-5500	164	15	climate	climate	NOUN
ajase-5500	164	16	change	change	NOUN
ajase-5500	164	17	.	.	PUNCT
ajase-5500	165	1	the	the	DET
ajase-5500	165	2	annual	annual	ADJ
ajase-5500	165	3	maximum	maximum	ADJ
ajase-5500	165	4	number	number	NOUN
ajase-5500	165	5	of	of	ADP
ajase-5500	165	6	consecutive	consecutive	ADJ
ajase-5500	165	7	wet	wet	ADJ
ajase-5500	165	8	days	day	NOUN
ajase-5500	165	9	trend	trend	NOUN
ajase-5500	165	10	shows	show	VERB
ajase-5500	165	11	significant	significant	ADJ
ajase-5500	165	12	variability	variability	NOUN
ajase-5500	165	13	over	over	ADP
ajase-5500	165	14	time	time	NOUN
ajase-5500	165	15	,	,	PUNCT
ajase-5500	165	16	with	with	ADP
ajase-5500	165	17	notable	notable	ADJ
ajase-5500	165	18	peaks	peak	NOUN
ajase-5500	165	19	and	and	CCONJ
ajase-5500	165	20	declines	decline	NOUN
ajase-5500	165	21	.	.	PUNCT
ajase-5500	166	1	the	the	DET
ajase-5500	166	2	early	early	ADJ
ajase-5500	166	3	period	period	NOUN
ajase-5500	166	4	(	(	PUNCT
ajase-5500	166	5	before	before	ADP
ajase-5500	166	6	the	the	DET
ajase-5500	166	7	1980s	1980s	NUM
ajase-5500	166	8	)	)	PUNCT
ajase-5500	166	9	exhibits	exhibit	VERB
ajase-5500	166	10	high	high	ADJ
ajase-5500	166	11	fluctuations	fluctuation	NOUN
ajase-5500	166	12	,	,	PUNCT
ajase-5500	166	13	with	with	ADP
ajase-5500	166	14	some	some	DET
ajase-5500	166	15	years	year	NOUN
ajase-5500	166	16	experiencing	experience	VERB
ajase-5500	166	17	prolonged	prolonged	ADJ
ajase-5500	166	18	wet	wet	ADJ
ajase-5500	166	19	spells	spell	NOUN
ajase-5500	166	20	exceeding	exceed	VERB
ajase-5500	166	21	50	50	NUM
ajase-5500	166	22	consecutive	consecutive	ADJ
ajase-5500	166	23	days	day	NOUN
ajase-5500	166	24	.	.	PUNCT
ajase-5500	167	1	however	however	ADV
ajase-5500	167	2	,	,	PUNCT
ajase-5500	167	3	in	in	ADP
ajase-5500	167	4	recent	recent	ADJ
ajase-5500	167	5	decades	decade	NOUN
ajase-5500	167	6	,	,	PUNCT
ajase-5500	167	7	the	the	DET
ajase-5500	167	8	number	number	NOUN
ajase-5500	167	9	of	of	ADP
ajase-5500	167	10	consecutive	consecutive	ADJ
ajase-5500	167	11	wet	wet	ADJ
ajase-5500	167	12	days	day	NOUN
ajase-5500	167	13	appears	appear	VERB
ajase-5500	167	14	to	to	PART
ajase-5500	167	15	have	have	AUX
ajase-5500	167	16	stabilized	stabilize	VERB
ajase-5500	167	17	around	around	ADP
ajase-5500	167	18	30	30	NUM
ajase-5500	167	19	to	to	PART
ajase-5500	167	20	40	40	NUM
ajase-5500	167	21	days	day	NOUN
ajase-5500	167	22	,	,	PUNCT
ajase-5500	167	23	with	with	ADP
ajase-5500	167	24	fewer	few	ADJ
ajase-5500	167	25	extreme	extreme	ADJ
ajase-5500	167	26	peaks	peak	NOUN
ajase-5500	167	27	.	.	PUNCT
ajase-5500	168	1	models	model	NOUN
ajase-5500	168	2	application	application	NOUN
ajase-5500	168	3	results	result	VERB
ajase-5500	168	4	the	the	DET
ajase-5500	168	5	number	number	NOUN
ajase-5500	168	6	of	of	ADP
ajase-5500	168	7	factors	factor	NOUN
ajase-5500	168	8	tuned	tune	VERB
ajase-5500	168	9	plot	plot	NOUN
ajase-5500	168	10	(	(	PUNCT
ajase-5500	168	11	ic	ic	PROPN
ajase-5500	168	12	2	2	NUM
ajase-5500	168	13	)	)	PUNCT
ajase-5500	168	14	presents	present	VERB
ajase-5500	168	15	the	the	DET
ajase-5500	168	16	selection	selection	NOUN
ajase-5500	168	17	process	process	NOUN
ajase-5500	168	18	for	for	ADP
ajase-5500	168	19	the	the	DET
ajase-5500	168	20	optimal	optimal	ADJ
ajase-5500	168	21	number	number	NOUN
ajase-5500	168	22	of	of	ADP
ajase-5500	168	23	factors	factor	NOUN
ajase-5500	168	24	in	in	ADP
ajase-5500	168	25	the	the	DET
ajase-5500	168	26	model	model	NOUN
ajase-5500	168	27	.	.	PUNCT
ajase-5500	169	1	the	the	DET
ajase-5500	169	2	top	top	ADJ
ajase-5500	169	3	chart	chart	NOUN
ajase-5500	169	4	shows	show	VERB
ajase-5500	169	5	the	the	DET
ajase-5500	169	6	index	index	NOUN
ajase-5500	169	7	values	value	NOUN
ajase-5500	169	8	for	for	ADP
ajase-5500	169	9	different	different	ADJ
ajase-5500	169	10	factor	factor	NOUN
ajase-5500	169	11	numbers	number	NOUN
ajase-5500	169	12	,	,	PUNCT
ajase-5500	169	13	where	where	SCONJ
ajase-5500	169	14	a	a	DET
ajase-5500	169	15	lower	low	ADJ
ajase-5500	169	16	index	index	NOUN
ajase-5500	169	17	value	value	NOUN
ajase-5500	169	18	suggests	suggest	VERB
ajase-5500	169	19	a	a	DET
ajase-5500	169	20	better	well	ADJ
ajase-5500	169	21	factor	factor	NOUN
ajase-5500	169	22	selection	selection	NOUN
ajase-5500	169	23	.	.	PUNCT
ajase-5500	170	1	the	the	DET
ajase-5500	170	2	red	red	ADJ
ajase-5500	170	3	dot	dot	NOUN
ajase-5500	170	4	at	at	ADP
ajase-5500	170	5	factor	factor	NOUN
ajase-5500	170	6	3	3	NUM
ajase-5500	170	7	indicates	indicate	VERB
ajase-5500	170	8	that	that	SCONJ
ajase-5500	170	9	this	this	PRON
ajase-5500	170	10	was	be	AUX
ajase-5500	170	11	the	the	DET
ajase-5500	170	12	chosen	choose	VERB
ajase-5500	170	13	number	number	NOUN
ajase-5500	170	14	of	of	ADP
ajase-5500	170	15	factors	factor	NOUN
ajase-5500	170	16	,	,	PUNCT
ajase-5500	170	17	as	as	SCONJ
ajase-5500	170	18	it	it	PRON
ajase-5500	170	19	had	have	VERB
ajase-5500	170	20	the	the	DET
ajase-5500	170	21	lowest	low	ADJ
ajase-5500	170	22	index	index	NOUN
ajase-5500	170	23	value	value	NOUN
ajase-5500	170	24	.	.	PUNCT
ajase-5500	171	1	the	the	DET
ajase-5500	171	2	bottom	bottom	ADJ
ajase-5500	171	3	chart	chart	NOUN
ajase-5500	171	4	illustrates	illustrate	VERB
ajase-5500	171	5	the	the	DET
ajase-5500	171	6	percentage	percentage	NOUN
ajase-5500	171	7	of	of	ADP
ajase-5500	171	8	variance	variance	NOUN
ajase-5500	171	9	explained	explain	VERB
ajase-5500	171	10	by	by	ADP
ajase-5500	171	11	each	each	DET
ajase-5500	171	12	factor	factor	NOUN
ajase-5500	171	13	,	,	PUNCT
ajase-5500	171	14	with	with	ADP
ajase-5500	171	15	a	a	DET
ajase-5500	171	16	clear	clear	ADJ
ajase-5500	171	17	decreasing	decrease	VERB
ajase-5500	171	18	trend	trend	NOUN
ajase-5500	171	19	as	as	SCONJ
ajase-5500	171	20	more	more	ADJ
ajase-5500	171	21	factors	factor	NOUN
ajase-5500	171	22	ares	are	NOUN
ajase-5500	171	23	added	add	VERB
ajase-5500	171	24	.	.	PUNCT
ajase-5500	172	1	the	the	DET
ajase-5500	172	2	first	first	ADJ
ajase-5500	172	3	factor	factor	NOUN
ajase-5500	172	4	explains	explain	VERB
ajase-5500	172	5	the	the	DET
ajase-5500	172	6	highest	high	ADJ
ajase-5500	172	7	variance	variance	NOUN
ajase-5500	172	8	(	(	PUNCT
ajase-5500	172	9	above	above	ADP
ajase-5500	172	10	50	50	NUM
ajase-5500	172	11	%	%	NOUN
ajase-5500	172	12	)	)	PUNCT
ajase-5500	172	13	,	,	PUNCT
ajase-5500	172	14	while	while	SCONJ
ajase-5500	172	15	the	the	DET
ajase-5500	172	16	third	third	ADJ
ajase-5500	172	17	factor	factor	NOUN
ajase-5500	172	18	contributes	contribute	VERB
ajase-5500	172	19	significantly	significantly	ADV
ajase-5500	172	20	less	less	ADJ
ajase-5500	172	21	.	.	PUNCT
ajase-5500	173	1	this	this	DET
ajase-5500	173	2	result	result	NOUN
ajase-5500	173	3	supports	support	VERB
ajase-5500	173	4	the	the	DET
ajase-5500	173	5	selection	selection	NOUN
ajase-5500	173	6	of	of	ADP
ajase-5500	173	7	three	three	NUM
ajase-5500	173	8	factors	factor	NOUN
ajase-5500	173	9	,	,	PUNCT
ajase-5500	173	10	balancing	balance	VERB
ajase-5500	173	11	model	model	NOUN
ajase-5500	173	12	simplicity	simplicity	NOUN
ajase-5500	173	13	and	and	CCONJ
ajase-5500	173	14	variance	variance	NOUN
ajase-5500	173	15	explained	explain	VERB
ajase-5500	173	16	,	,	PUNCT
ajase-5500	173	17	ensuring	ensure	VERB
ajase-5500	173	18	that	that	SCONJ
ajase-5500	173	19	the	the	DET
ajase-5500	173	20	model	model	NOUN
ajase-5500	173	21	captures	capture	VERB
ajase-5500	173	22	essential	essential	ADJ
ajase-5500	173	23	variability	variability	NOUN
ajase-5500	173	24	while	while	SCONJ
ajase-5500	173	25	avoiding	avoid	VERB
ajase-5500	173	26	overfitting	overfitte	VERB
ajase-5500	173	27	.	.	PUNCT
ajase-5500	174	1	figure	figure	NOUN
ajase-5500	174	2	2	2	NUM
ajase-5500	174	3	:	:	PUNCT
ajase-5500	174	4	a	a	PRON
ajase-5500	174	5	&	&	CCONJ
ajase-5500	174	6	b	b	NOUN
ajase-5500	174	7	,	,	PUNCT
ajase-5500	174	8	number	number	NOUN
ajase-5500	174	9	of	of	ADP
ajase-5500	174	10	factors	factor	NOUN
ajase-5500	174	11	tuned	tune	VERB
ajase-5500	174	12	plot	plot	NOUN
ajase-5500	174	13	table	table	NOUN
ajase-5500	174	14	2	2	NUM
ajase-5500	174	15	:	:	PUNCT
ajase-5500	174	16	mean	mean	VERB
ajase-5500	174	17	square	square	ADJ
ajase-5500	174	18	error	error	NOUN
ajase-5500	174	19	(	(	PUNCT
ajase-5500	174	20	mse	mse	NOUN
ajase-5500	174	21	)	)	PUNCT
ajase-5500	174	22	for	for	SCONJ
ajase-5500	174	23	the	the	DET
ajase-5500	174	24	climate	climate	NOUN
ajase-5500	174	25	data	datum	NOUN
ajase-5500	174	26	models	model	NOUN
ajase-5500	174	27	climate	climate	VERB
ajase-5500	174	28	_	_	PUNCT
ajase-5500	175	1	variable	variable	ADJ
ajase-5500	175	2	mse	mse	PROPN
ajase-5500	175	3	_	_	PROPN
ajase-5500	175	4	arima	arima	PROPN
ajase-5500	175	5	mse	mse	PROPN
ajase-5500	175	6	_	_	PROPN
ajase-5500	175	7	pca	pca	PROPN
ajase-5500	175	8	mse_2stage	mse_2stage	NOUN
ajase-5500	175	9	mse_em	mse_em	PROPN
ajase-5500	175	10	mse	mse	PROPN
ajase-5500	175	11	_	_	PROPN
ajase-5500	175	12	sdfm	sdfm	NOUN
ajase-5500	175	13	mse	mse	PROPN
ajase-5500	175	14	_	_	PROPN
ajase-5500	175	15	lasso	lasso	NOUN
ajase-5500	175	16	mse	mse	NOUN
ajase-5500	176	1	_	_	PUNCT
ajase-5500	176	2	group_lasso	group_lasso	ADJ
ajase-5500	176	3	air_temp	air_temp	VERB
ajase-5500	176	4	0.4571	0.4571	NUM
ajase-5500	176	5	0.5013	0.5013	NUM
ajase-5500	176	6	0.4807	0.4807	NUM
ajase-5500	176	7	0.4632	0.4632	NUM
ajase-5500	176	8	0.4416	0.4416	NUM
ajase-5500	176	9	0.4029	0.4029	NUM
ajase-5500	176	10	0.3854	0.3854	NUM
ajase-5500	176	11	precipitation	precipitation	NOUN
ajase-5500	176	12	1105.2376	1105.2376	NUM
ajase-5500	176	13	1304.8731	1304.8731	NUM
ajase-5500	177	1	1249.9273	1249.9273	NUM
ajase-5500	177	2	1203.7512	1203.7512	NUM
ajase-5500	177	3	1152.3728	1152.3728	NOUN
ajase-5500	178	1	982.3412	982.3412	NUM
ajase-5500	178	2	921.2745	921.2745	NUM
ajase-5500	178	3	heat_days	heat_day	NOUN
ajase-5500	178	4	340.5123	340.5123	NUM
ajase-5500	178	5	362.7845	362.7845	NUM
ajase-5500	178	6	351.1843	351.1843	NUM
ajase-5500	178	7	346.1189	346.1189	NUM
ajase-5500	178	8	342.8751	342.8751	NUM
ajase-5500	178	9	310.2367	310.2367	NUM
ajase-5500	178	10	296.8512	296.8512	NUM
ajase-5500	178	11	wet_days	wet_day	NOUN
ajase-5500	178	12	880.6214	880.6214	NUM
ajase-5500	178	13	942.8147	942.8147	NUM
ajase-5500	178	14	915.3402	915.3402	NUM
ajase-5500	178	15	897.5413	897.5413	NUM
ajase-5500	178	16	886.2364	886.2364	NUM
ajase-5500	178	17	793.1823	793.1823	NUM
ajase-5500	178	18	748.9016	748.9016	NUM
ajase-5500	178	19	source	source	NOUN
ajase-5500	178	20	:	:	PUNCT
ajase-5500	178	21	extracted	extract	VERB
ajase-5500	178	22	by	by	ADP
ajase-5500	178	23	the	the	DET
ajase-5500	178	24	researcher	researcher	NOUN
ajase-5500	178	25	from	from	ADP
ajase-5500	178	26	r	r	NOUN
ajase-5500	178	27	output	output	NOUN
ajase-5500	178	28	pa	pa	PROPN
ajase-5500	178	29	ge	ge	PROPN
ajase-5500	178	30	76	76	NUM
ajase-5500	179	1	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	179	2	am	be	AUX
ajase-5500	179	3	.	.	PUNCT
ajase-5500	180	1	j.	j.	PROPN
ajase-5500	180	2	appl	appl	PROPN
ajase-5500	180	3	.	.	PROPN
ajase-5500	181	1	stat	stat	PROPN
ajase-5500	181	2	.	.	PUNCT
ajase-5500	182	1	econ	econ	PROPN
ajase-5500	182	2	.	.	PUNCT
ajase-5500	183	1	4(1	4(1	X
ajase-5500	183	2	)	)	PUNCT
ajase-5500	184	1	70	70	NUM
ajase-5500	184	2	-	-	SYM
ajase-5500	184	3	79	79	NUM
ajase-5500	184	4	,	,	PUNCT
ajase-5500	184	5	2025	2025	NUM
ajase-5500	184	6	table	table	NOUN
ajase-5500	184	7	2	2	NUM
ajase-5500	184	8	presents	present	VERB
ajase-5500	184	9	a	a	DET
ajase-5500	184	10	comparative	comparative	ADJ
ajase-5500	184	11	evaluation	evaluation	NOUN
ajase-5500	184	12	of	of	ADP
ajase-5500	184	13	the	the	DET
ajase-5500	184	14	mean	mean	ADJ
ajase-5500	184	15	square	square	ADJ
ajase-5500	184	16	error	error	NOUN
ajase-5500	184	17	(	(	PUNCT
ajase-5500	184	18	mse	mse	NOUN
ajase-5500	184	19	)	)	PUNCT
ajase-5500	184	20	values	value	NOUN
ajase-5500	184	21	for	for	ADP
ajase-5500	184	22	different	different	ADJ
ajase-5500	184	23	climate	climate	NOUN
ajase-5500	184	24	data	data	NOUN
ajase-5500	184	25	models	model	NOUN
ajase-5500	184	26	across	across	ADP
ajase-5500	184	27	four	four	NUM
ajase-5500	184	28	distinct	distinct	ADJ
ajase-5500	184	29	climate	climate	NOUN
ajase-5500	184	30	variables	variable	NOUN
ajase-5500	184	31	:	:	PUNCT
ajase-5500	184	32	air	air	NOUN
ajase-5500	184	33	temperature	temperature	NOUN
ajase-5500	184	34	,	,	PUNCT
ajase-5500	184	35	precipitation	precipitation	NOUN
ajase-5500	184	36	,	,	PUNCT
ajase-5500	184	37	heat	heat	NOUN
ajase-5500	184	38	days	day	NOUN
ajase-5500	184	39	,	,	PUNCT
ajase-5500	184	40	and	and	CCONJ
ajase-5500	184	41	wet	wet	ADJ
ajase-5500	184	42	days	day	NOUN
ajase-5500	184	43	.	.	PUNCT
ajase-5500	185	1	this	this	DET
ajase-5500	185	2	table	table	NOUN
ajase-5500	185	3	assesses	assess	VERB
ajase-5500	185	4	the	the	DET
ajase-5500	185	5	predictive	predictive	ADJ
ajase-5500	185	6	performance	performance	NOUN
ajase-5500	185	7	of	of	ADP
ajase-5500	185	8	seven	seven	NUM
ajase-5500	185	9	models	model	NOUN
ajase-5500	185	10	,	,	PUNCT
ajase-5500	185	11	arima	arima	NOUN
ajase-5500	185	12	,	,	PUNCT
ajase-5500	185	13	pca	pca	PROPN
ajase-5500	185	14	,	,	PUNCT
ajase-5500	185	15	two	two	NUM
ajase-5500	185	16	-	-	PUNCT
ajase-5500	185	17	stage	stage	NOUN
ajase-5500	185	18	dfm	dfm	NOUN
ajase-5500	185	19	,	,	PUNCT
ajase-5500	185	20	em	em	NOUN
ajase-5500	185	21	-	-	PUNCT
ajase-5500	185	22	based	base	VERB
ajase-5500	185	23	dfm	dfm	NOUN
ajase-5500	185	24	,	,	PUNCT
ajase-5500	185	25	sparse	sparse	ADJ
ajase-5500	185	26	dfm	dfm	NOUN
ajase-5500	185	27	,	,	PUNCT
ajase-5500	185	28	lasso	lasso	NOUN
ajase-5500	185	29	,	,	PUNCT
ajase-5500	185	30	and	and	CCONJ
ajase-5500	185	31	group	group	NOUN
ajase-5500	185	32	lasso	lasso	NOUN
ajase-5500	185	33	based	base	VERB
ajase-5500	185	34	on	on	ADP
ajase-5500	185	35	their	their	PRON
ajase-5500	185	36	ability	ability	NOUN
ajase-5500	185	37	to	to	PART
ajase-5500	185	38	minimize	minimize	VERB
ajase-5500	185	39	forecast	forecast	NOUN
ajase-5500	185	40	errors	error	NOUN
ajase-5500	185	41	.	.	PUNCT
ajase-5500	186	1	across	across	ADP
ajase-5500	186	2	all	all	DET
ajase-5500	186	3	variables	variable	NOUN
ajase-5500	186	4	,	,	PUNCT
ajase-5500	186	5	the	the	DET
ajase-5500	186	6	group	group	NOUN
ajase-5500	186	7	lasso	lasso	NOUN
ajase-5500	186	8	model	model	NOUN
ajase-5500	186	9	consistently	consistently	ADV
ajase-5500	186	10	delivers	deliver	VERB
ajase-5500	186	11	the	the	DET
ajase-5500	186	12	lowest	low	ADJ
ajase-5500	186	13	mse	mse	NOUN
ajase-5500	186	14	,	,	PUNCT
ajase-5500	186	15	demonstrating	demonstrate	VERB
ajase-5500	186	16	its	its	PRON
ajase-5500	186	17	superior	superior	ADJ
ajase-5500	186	18	predictive	predictive	ADJ
ajase-5500	186	19	performance	performance	NOUN
ajase-5500	186	20	and	and	CCONJ
ajase-5500	186	21	robustness	robustness	NOUN
ajase-5500	186	22	in	in	ADP
ajase-5500	186	23	modeling	model	VERB
ajase-5500	186	24	complex	complex	ADJ
ajase-5500	186	25	climate	climate	NOUN
ajase-5500	186	26	dynamics	dynamic	NOUN
ajase-5500	186	27	.	.	PUNCT
ajase-5500	187	1	for	for	ADP
ajase-5500	187	2	instance	instance	NOUN
ajase-5500	187	3	,	,	PUNCT
ajase-5500	187	4	group	group	NOUN
ajase-5500	187	5	lasso	lasso	NOUN
ajase-5500	187	6	achieves	achieve	VERB
ajase-5500	187	7	the	the	DET
ajase-5500	187	8	best	good	ADJ
ajase-5500	187	9	result	result	NOUN
ajase-5500	187	10	for	for	ADP
ajase-5500	187	11	air	air	NOUN
ajase-5500	187	12	temperature	temperature	NOUN
ajase-5500	187	13	(	(	PUNCT
ajase-5500	187	14	mse	mse	NOUN
ajase-5500	187	15	=	=	SYM
ajase-5500	187	16	0.3854	0.3854	NUM
ajase-5500	187	17	)	)	PUNCT
ajase-5500	187	18	,	,	PUNCT
ajase-5500	187	19	significantly	significantly	ADV
ajase-5500	187	20	outperforming	outperform	VERB
ajase-5500	187	21	traditional	traditional	ADJ
ajase-5500	187	22	models	model	NOUN
ajase-5500	187	23	like	like	ADP
ajase-5500	187	24	arima	arima	PROPN
ajase-5500	187	25	(	(	PUNCT
ajase-5500	187	26	mse	mse	PROPN
ajase-5500	187	27	=	=	SYM
ajase-5500	187	28	0.4571	0.4571	NUM
ajase-5500	187	29	)	)	PUNCT
ajase-5500	187	30	and	and	CCONJ
ajase-5500	187	31	pca	pca	NOUN
ajase-5500	187	32	-	-	PUNCT
ajase-5500	187	33	dfm	dfm	PROPN
ajase-5500	187	34	(	(	PUNCT
ajase-5500	187	35	mse	mse	NOUN
ajase-5500	187	36	=	=	PUNCT
ajase-5500	187	37	0.5013	0.5013	NUM
ajase-5500	187	38	)	)	PUNCT
ajase-5500	187	39	.	.	PUNCT
ajase-5500	188	1	similarly	similarly	ADV
ajase-5500	188	2	,	,	PUNCT
ajase-5500	188	3	for	for	ADP
ajase-5500	188	4	precipitation	precipitation	NOUN
ajase-5500	188	5	,	,	PUNCT
ajase-5500	188	6	a	a	DET
ajase-5500	188	7	notoriously	notoriously	ADV
ajase-5500	188	8	volatile	volatile	ADJ
ajase-5500	188	9	and	and	CCONJ
ajase-5500	188	10	skewed	skewed	ADJ
ajase-5500	188	11	variable	variable	NOUN
ajase-5500	188	12	,	,	PUNCT
ajase-5500	188	13	group	group	NOUN
ajase-5500	188	14	lasso	lasso	NOUN
ajase-5500	188	15	achieves	achieve	VERB
ajase-5500	188	16	a	a	DET
ajase-5500	188	17	notably	notably	ADV
ajase-5500	188	18	reduced	reduce	VERB
ajase-5500	188	19	error	error	NOUN
ajase-5500	188	20	(	(	PUNCT
ajase-5500	188	21	mse	mse	NOUN
ajase-5500	188	22	=	=	SYM
ajase-5500	188	23	921.2745	921.2745	NUM
ajase-5500	188	24	)	)	PUNCT
ajase-5500	188	25	compared	compare	VERB
ajase-5500	188	26	to	to	ADP
ajase-5500	188	27	arima	arima	PROPN
ajase-5500	188	28	(	(	PUNCT
ajase-5500	188	29	mse	mse	PROPN
ajase-5500	188	30	=	=	SYM
ajase-5500	188	31	1105.2376	1105.2376	PROPN
ajase-5500	188	32	)	)	PUNCT
ajase-5500	188	33	and	and	CCONJ
ajase-5500	188	34	pca	pca	PROPN
ajase-5500	188	35	(	(	PUNCT
ajase-5500	188	36	mse	mse	NOUN
ajase-5500	188	37	=	=	SYM
ajase-5500	188	38	1304.8731	1304.8731	PROPN
ajase-5500	188	39	)	)	PUNCT
ajase-5500	188	40	.	.	PUNCT
ajase-5500	189	1	this	this	PRON
ajase-5500	189	2	highlights	highlight	VERB
ajase-5500	189	3	its	its	PRON
ajase-5500	189	4	strength	strength	NOUN
ajase-5500	189	5	in	in	ADP
ajase-5500	189	6	handling	handle	VERB
ajase-5500	189	7	noisy	noisy	ADJ
ajase-5500	189	8	and	and	CCONJ
ajase-5500	189	9	non	non	ADJ
ajase-5500	189	10	-	-	ADJ
ajase-5500	189	11	gaussian	gaussian	ADJ
ajase-5500	189	12	time	time	NOUN
ajase-5500	189	13	series	series	PROPN
ajase-5500	189	14	data	data	PROPN
ajase-5500	189	15	.	.	PUNCT
ajase-5500	190	1	in	in	ADP
ajase-5500	190	2	the	the	DET
ajase-5500	190	3	case	case	NOUN
ajase-5500	190	4	of	of	ADP
ajase-5500	190	5	heat	heat	NOUN
ajase-5500	190	6	days	day	NOUN
ajase-5500	190	7	,	,	PUNCT
ajase-5500	190	8	the	the	DET
ajase-5500	190	9	trend	trend	NOUN
ajase-5500	190	10	holds	hold	VERB
ajase-5500	190	11	,	,	PUNCT
ajase-5500	190	12	with	with	ADP
ajase-5500	190	13	group	group	NOUN
ajase-5500	190	14	lasso	lasso	NOUN
ajase-5500	190	15	again	again	ADV
ajase-5500	190	16	outperforming	outperform	VERB
ajase-5500	190	17	all	all	DET
ajase-5500	190	18	others	other	NOUN
ajase-5500	190	19	(	(	PUNCT
ajase-5500	190	20	mse	mse	NOUN
ajase-5500	190	21	=	=	SYM
ajase-5500	190	22	296.8512	296.8512	NUM
ajase-5500	190	23	)	)	PUNCT
ajase-5500	190	24	,	,	PUNCT
ajase-5500	190	25	followed	follow	VERB
ajase-5500	190	26	closely	closely	ADV
ajase-5500	190	27	by	by	ADP
ajase-5500	190	28	lasso	lasso	NOUN
ajase-5500	190	29	(	(	PUNCT
ajase-5500	190	30	mse	mse	NOUN
ajase-5500	190	31	=	=	SYM
ajase-5500	190	32	310.2367	310.2367	NUM
ajase-5500	190	33	)	)	PUNCT
ajase-5500	190	34	.	.	PUNCT
ajase-5500	191	1	traditional	traditional	ADJ
ajase-5500	191	2	models	model	NOUN
ajase-5500	191	3	like	like	ADP
ajase-5500	191	4	pca	pca	PROPN
ajase-5500	191	5	and	and	CCONJ
ajase-5500	191	6	arima	arima	PROPN
ajase-5500	191	7	yield	yield	NOUN
ajase-5500	191	8	mses	ms	NOUN
ajase-5500	191	9	exceeding	exceed	VERB
ajase-5500	191	10	340	340	NUM
ajase-5500	191	11	,	,	PUNCT
ajase-5500	191	12	indicating	indicate	VERB
ajase-5500	191	13	a	a	DET
ajase-5500	191	14	higher	high	ADJ
ajase-5500	191	15	deviation	deviation	NOUN
ajase-5500	191	16	from	from	ADP
ajase-5500	191	17	actual	actual	ADJ
ajase-5500	191	18	observed	observed	ADJ
ajase-5500	191	19	values	value	NOUN
ajase-5500	191	20	.	.	PUNCT
ajase-5500	192	1	a	a	DET
ajase-5500	192	2	similar	similar	ADJ
ajase-5500	192	3	pattern	pattern	NOUN
ajase-5500	192	4	is	be	AUX
ajase-5500	192	5	observed	observe	VERB
ajase-5500	192	6	for	for	ADP
ajase-5500	192	7	wet	wet	ADJ
ajase-5500	192	8	days	day	NOUN
ajase-5500	192	9	,	,	PUNCT
ajase-5500	192	10	where	where	SCONJ
ajase-5500	192	11	group	group	NOUN
ajase-5500	192	12	lasso	lasso	NOUN
ajase-5500	192	13	records	record	VERB
ajase-5500	192	14	the	the	DET
ajase-5500	192	15	lowest	low	ADJ
ajase-5500	192	16	error	error	NOUN
ajase-5500	192	17	(	(	PUNCT
ajase-5500	192	18	mse	mse	NOUN
ajase-5500	192	19	=	=	SYM
ajase-5500	192	20	748.9016	748.9016	NUM
ajase-5500	192	21	)	)	PUNCT
ajase-5500	192	22	,	,	PUNCT
ajase-5500	192	23	indicating	indicate	VERB
ajase-5500	192	24	more	more	ADV
ajase-5500	192	25	accurate	accurate	ADJ
ajase-5500	192	26	estimation	estimation	NOUN
ajase-5500	192	27	of	of	ADP
ajase-5500	192	28	precipitation	precipitation	NOUN
ajase-5500	192	29	frequency	frequency	NOUN
ajase-5500	192	30	compared	compare	VERB
ajase-5500	192	31	to	to	ADP
ajase-5500	192	32	older	old	ADJ
ajase-5500	192	33	approaches	approach	NOUN
ajase-5500	192	34	.	.	PUNCT
ajase-5500	193	1	importantly	importantly	ADV
ajase-5500	193	2	,	,	PUNCT
ajase-5500	193	3	both	both	CCONJ
ajase-5500	193	4	lasso	lasso	NOUN
ajase-5500	193	5	and	and	CCONJ
ajase-5500	193	6	group	group	NOUN
ajase-5500	193	7	lasso	lasso	NOUN
ajase-5500	193	8	outperform	outperform	ADJ
ajase-5500	193	9	factor	factor	NOUN
ajase-5500	193	10	-	-	PUNCT
ajase-5500	193	11	based	base	VERB
ajase-5500	193	12	models	model	NOUN
ajase-5500	193	13	(	(	PUNCT
ajase-5500	193	14	e.g.	e.g.	ADV
ajase-5500	193	15	,	,	PUNCT
ajase-5500	193	16	two	two	NUM
ajase-5500	193	17	-	-	PUNCT
ajase-5500	193	18	stage	stage	NOUN
ajase-5500	193	19	dfm	dfm	NOUN
ajase-5500	193	20	,	,	PUNCT
ajase-5500	193	21	em	em	NOUN
ajase-5500	193	22	-	-	PUNCT
ajase-5500	193	23	based	base	VERB
ajase-5500	193	24	dfm	dfm	NOUN
ajase-5500	193	25	,	,	PUNCT
ajase-5500	193	26	and	and	CCONJ
ajase-5500	193	27	sparse	sparse	ADJ
ajase-5500	193	28	dfm	dfm	NOUN
ajase-5500	193	29	)	)	PUNCT
ajase-5500	193	30	in	in	ADP
ajase-5500	193	31	every	every	DET
ajase-5500	193	32	climate	climate	NOUN
ajase-5500	193	33	category	category	NOUN
ajase-5500	193	34	.	.	PUNCT
ajase-5500	194	1	while	while	SCONJ
ajase-5500	194	2	the	the	DET
ajase-5500	194	3	factor	factor	NOUN
ajase-5500	194	4	models	model	NOUN
ajase-5500	194	5	perform	perform	VERB
ajase-5500	194	6	reasonably	reasonably	ADV
ajase-5500	194	7	well	well	ADV
ajase-5500	194	8	,	,	PUNCT
ajase-5500	194	9	particularly	particularly	ADV
ajase-5500	194	10	sparse	sparse	ADJ
ajase-5500	194	11	dfm	dfm	NOUN
ajase-5500	194	12	,	,	PUNCT
ajase-5500	194	13	they	they	PRON
ajase-5500	194	14	do	do	AUX
ajase-5500	194	15	not	not	PART
ajase-5500	194	16	match	match	VERB
ajase-5500	194	17	the	the	DET
ajase-5500	194	18	consistency	consistency	NOUN
ajase-5500	194	19	and	and	CCONJ
ajase-5500	194	20	predictive	predictive	ADJ
ajase-5500	194	21	accuracy	accuracy	NOUN
ajase-5500	194	22	of	of	ADP
ajase-5500	194	23	penalized	penalize	VERB
ajase-5500	194	24	regression	regression	NOUN
ajase-5500	194	25	techniques	technique	NOUN
ajase-5500	194	26	.	.	PUNCT
ajase-5500	195	1	table	table	NOUN
ajase-5500	195	2	2	2	NUM
ajase-5500	195	3	:	:	PUNCT
ajase-5500	196	1	mean	mean	VERB
ajase-5500	196	2	square	square	ADJ
ajase-5500	196	3	error	error	NOUN
ajase-5500	196	4	(	(	PUNCT
ajase-5500	196	5	mse	mse	NOUN
ajase-5500	196	6	)	)	PUNCT
ajase-5500	196	7	for	for	ADP
ajase-5500	196	8	the	the	DET
ajase-5500	196	9	climate	climate	NOUN
ajase-5500	196	10	data	datum	NOUN
ajase-5500	196	11	models	model	NOUN
ajase-5500	196	12	model	model	NOUN
ajase-5500	196	13	metrics	metric	NOUN
ajase-5500	196	14	climate	climate	NOUN
ajase-5500	196	15	variable	variable	NOUN
ajase-5500	196	16	air_temp	air_temp	NOUN
ajase-5500	196	17	precipitation	precipitation	NOUN
ajase-5500	196	18	heat_days	heat_day	NOUN
ajase-5500	196	19	wet_days	wet_day	VERB
ajase-5500	196	20	arima	arima	PROPN
ajase-5500	196	21	aic	aic	PROPN
ajase-5500	196	22	68.7300	68.7300	NUM
ajase-5500	196	23	97.5400	97.5400	NUM
ajase-5500	196	24	86.6000	86.6000	NUM
ajase-5500	196	25	79.9300	79.9300	NUM
ajase-5500	196	26	bic	bic	NOUN
ajase-5500	196	27	75.2902	75.2902	NUM
ajase-5500	196	28	104.0999	104.0999	NUM
ajase-5500	196	29	92.1808	92.1808	NUM
ajase-5500	196	30	93.5918	93.5918	NUM
ajase-5500	196	31	loglik	loglik	NOUN
ajase-5500	196	32	-34.3650	-34.3650	PUNCT
ajase-5500	196	33	-48.7700	-48.7700	SYM
ajase-5500	196	34	-43.3000	-43.3000	PUNCT
ajase-5500	196	35	-39.9650	-39.9650	PUNCT
ajase-5500	196	36	sic	sic	ADJ
ajase-5500	196	37	83.2958	83.2958	NUM
ajase-5500	196	38	112.6403	112.6403	NUM
ajase-5500	196	39	97.2838	97.2838	NUM
ajase-5500	196	40	103.4413	103.4413	NUM
ajase-5500	196	41	pca	pca	NOUN
ajase-5500	196	42	aic	aic	PROPN
ajase-5500	196	43	183.2400	183.2400	NUM
ajase-5500	196	44	121.2300	121.2300	NUM
ajase-5500	196	45	118.1800	118.1800	NUM
ajase-5500	196	46	118.3400	118.3400	NUM
ajase-5500	196	47	bic	bic	NOUN
ajase-5500	196	48	192.8036	192.8036	NUM
ajase-5500	196	49	134.1013	134.1013	NUM
ajase-5500	196	50	129.6592	129.6592	NUM
ajase-5500	196	51	127.7084	127.7084	NUM
ajase-5500	196	52	loglik	loglik	NOUN
ajase-5500	196	53	-91.6200	-91.6200	PUNCT
ajase-5500	196	54	-60.6150	-60.6150	PUNCT
ajase-5500	196	55	-59.0900	-59.0900	PUNCT
ajase-5500	196	56	-59.1700	-59.1700	PUNCT
ajase-5500	196	57	sic	sic	ADJ
ajase-5500	196	58	203.9222	203.9222	NUM
ajase-5500	196	59	140.4963	140.4963	NUM
ajase-5500	196	60	137.5806	137.5806	NUM
ajase-5500	196	61	136.3721	136.3721	NUM
ajase-5500	196	62	2stage	2stage	NUM
ajase-5500	196	63	aic	aic	PROPN
ajase-5500	196	64	131.0500	131.0500	NUM
ajase-5500	196	65	160.6700	160.6700	NUM
ajase-5500	196	66	107.9700	107.9700	NUM
ajase-5500	196	67	136.2800	136.2800	NUM
ajase-5500	196	68	bic	bic	PROPN
ajase-5500	196	69	141.9741	141.9741	NUM
ajase-5500	196	70	166.1345	166.1345	NUM
ajase-5500	196	71	119.0454	119.0454	NUM
ajase-5500	196	72	142.9852	142.9852	NUM
ajase-5500	196	73	loglik	loglik	NOUN
ajase-5500	196	74	-65.5250	-65.5250	PUNCT
ajase-5500	196	75	-80.3350	-80.3350	NUM
ajase-5500	196	76	-53.9850	-53.9850	PUNCT
ajase-5500	196	77	-68.1400	-68.1400	PUNCT
ajase-5500	196	78	sic	sic	ADJ
ajase-5500	196	79	147.4295	147.4295	NUM
ajase-5500	196	80	177.7767	177.7767	NUM
ajase-5500	196	81	130.8049	130.8049	NUM
ajase-5500	196	82	153.6440	153.6440	NUM
ajase-5500	196	83	em	em	PRON
ajase-5500	196	84	aic	aic	PROPN
ajase-5500	196	85	107.4200	107.4200	NUM
ajase-5500	196	86	88.7900	88.7900	NUM
ajase-5500	196	87	141.5800	141.5800	NUM
ajase-5500	196	88	119.6100	119.6100	NUM
ajase-5500	196	89	bic	bic	PROPN
ajase-5500	196	90	113.2743	113.2743	NUM
ajase-5500	196	91	97.2562	97.2562	NUM
ajase-5500	196	92	146.8207	146.8207	NUM
ajase-5500	196	93	130.9752	130.9752	NUM
ajase-5500	196	94	loglik	loglik	NOUN
ajase-5500	196	95	-53.7100	-53.7100	PUNCT
ajase-5500	196	96	-44.3950	-44.3950	PUNCT
ajase-5500	196	97	-70.7900	-70.7900	PUNCT
ajase-5500	196	98	-59.8050	-59.8050	PUNCT
ajase-5500	196	99	sic	sic	ADJ
ajase-5500	196	100	119.5682	119.5682	NUM
ajase-5500	196	101	105.5688	105.5688	NUM
ajase-5500	196	102	153.3793	153.3793	NUM
ajase-5500	196	103	138.5756	138.5756	NUM
ajase-5500	196	104	sdfm	sdfm	NOUN
ajase-5500	196	105	aic	aic	PROPN
ajase-5500	196	106	121.4700	121.4700	NUM
ajase-5500	196	107	90.7100	90.7100	NUM
ajase-5500	196	108	157.4100	157.4100	NUM
ajase-5500	196	109	140.8900	140.8900	NUM
ajase-5500	196	110	bic	bic	NOUN
ajase-5500	196	111	131.1675	131.1675	NUM
ajase-5500	196	112	100.1841	100.1841	NUM
ajase-5500	196	113	165.3995	165.3995	NUM
ajase-5500	196	114	150.4994	150.4994	NUM
ajase-5500	196	115	loglik	loglik	NOUN
ajase-5500	196	116	-60.7350	-60.7350	SYM
ajase-5500	196	117	-45.3550	-45.3550	NUM
ajase-5500	196	118	-78.7050	-78.7050	PUNCT
ajase-5500	196	119	-70.4450	-70.4450	PUNCT
ajase-5500	196	120	sic	sic	ADJ
ajase-5500	196	121	136.6100	136.6100	NUM
ajase-5500	196	122	106.1641	106.1641	NUM
ajase-5500	196	123	170.6256	170.6256	NUM
ajase-5500	196	124	157.1260	157.1260	NUM
ajase-5500	196	125	lasso	lasso	NOUN
ajase-5500	196	126	aic	aic	PROPN
ajase-5500	196	127	94.9800	94.9800	NUM
ajase-5500	196	128	84.4200	84.4200	NUM
ajase-5500	196	129	134.5900	134.5900	NUM
ajase-5500	196	130	92.1100	92.1100	NUM
ajase-5500	196	131	bic	bic	PROPN
ajase-5500	196	132	101.3847	101.3847	NUM
ajase-5500	196	133	92.1335	92.1335	NUM
ajase-5500	196	134	140.2946	140.2946	NUM
ajase-5500	196	135	101.1210	101.1210	NUM
ajase-5500	196	136	loglik	loglik	NOUN
ajase-5500	196	137	-47.4900	-47.4900	SYM
ajase-5500	196	138	-42.2100	-42.2100	NUM
ajase-5500	196	139	-67.2950	-67.2950	INTJ
ajase-5500	196	140	-46.0550	-46.0550	PUNCT
ajase-5500	196	141	sic	sic	ADJ
ajase-5500	196	142	106.7574	106.7574	NUM
ajase-5500	196	143	102.0679	102.0679	NUM
ajase-5500	196	144	149.1558	149.1558	NUM
ajase-5500	196	145	107.1146	107.1146	NUM
ajase-5500	196	146	group	group	NOUN
ajase-5500	196	147	lasso	lasso	NOUN
ajase-5500	196	148	aic	aic	PROPN
ajase-5500	196	149	52.5800	52.5800	NUM
ajase-5500	196	150	79.1200	79.1200	NUM
ajase-5500	196	151	103.7700	103.7700	NUM
ajase-5500	196	152	85.6700	85.6700	NUM
ajase-5500	196	153	bic	bic	PROPN
ajase-5500	196	154	58.7600	58.7600	NUM
ajase-5500	196	155	84.7700	84.7700	NUM
ajase-5500	196	156	109.1450	109.1450	NUM
ajase-5500	196	157	92.4500	92.4500	NUM
ajase-5500	196	158	loglik	loglik	NOUN
ajase-5500	196	159	-26.2900	-26.2900	PUNCT
ajase-5500	196	160	-39.5600	-39.5600	NUM
ajase-5500	196	161	-51.8850	-51.8850	PUNCT
ajase-5500	196	162	-42.8350	-42.8350	PUNCT
ajase-5500	196	163	sic	sic	ADJ
ajase-5500	196	164	64.9350	64.9350	NUM
ajase-5500	196	165	89.1150	89.1150	NUM
ajase-5500	196	166	114.2100	114.2100	NUM
ajase-5500	196	167	97.5200	97.5200	NUM
ajase-5500	196	168	source	source	NOUN
ajase-5500	196	169	:	:	PUNCT
ajase-5500	196	170	extracted	extract	VERB
ajase-5500	196	171	by	by	ADP
ajase-5500	196	172	the	the	DET
ajase-5500	196	173	researcher	researcher	NOUN
ajase-5500	196	174	from	from	ADP
ajase-5500	196	175	r	r	NOUN
ajase-5500	196	176	output	output	NOUN
ajase-5500	196	177	pa	pa	PROPN
ajase-5500	196	178	ge	ge	PROPN
ajase-5500	196	179	77	77	NUM
ajase-5500	197	1	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	197	2	am	be	AUX
ajase-5500	197	3	.	.	PUNCT
ajase-5500	198	1	j.	j.	PROPN
ajase-5500	198	2	appl	appl	PROPN
ajase-5500	198	3	.	.	PROPN
ajase-5500	199	1	stat	stat	PROPN
ajase-5500	199	2	.	.	PUNCT
ajase-5500	200	1	econ	econ	PROPN
ajase-5500	200	2	.	.	PUNCT
ajase-5500	201	1	4(1	4(1	X
ajase-5500	201	2	)	)	PUNCT
ajase-5500	202	1	70	70	NUM
ajase-5500	202	2	-	-	SYM
ajase-5500	202	3	79	79	NUM
ajase-5500	202	4	,	,	PUNCT
ajase-5500	202	5	2025	2025	NUM
ajase-5500	202	6	table	table	NOUN
ajase-5500	202	7	3	3	NUM
ajase-5500	202	8	and	and	CCONJ
ajase-5500	202	9	figure	figure	VERB
ajase-5500	202	10	3	3	NUM
ajase-5500	202	11	presents	present	VERB
ajase-5500	202	12	a	a	DET
ajase-5500	202	13	comprehensive	comprehensive	ADJ
ajase-5500	202	14	comparison	comparison	NOUN
ajase-5500	202	15	of	of	ADP
ajase-5500	202	16	model	model	NOUN
ajase-5500	202	17	fit	fit	ADJ
ajase-5500	202	18	statistics	statistic	NOUN
ajase-5500	202	19	including	include	VERB
ajase-5500	202	20	akaike	akaike	ADJ
ajase-5500	202	21	information	information	NOUN
ajase-5500	202	22	criterion	criterion	NOUN
ajase-5500	202	23	(	(	PUNCT
ajase-5500	202	24	aic	aic	PROPN
ajase-5500	202	25	)	)	PUNCT
ajase-5500	202	26	,	,	PUNCT
ajase-5500	202	27	bayesian	bayesian	NOUN
ajase-5500	202	28	information	information	NOUN
ajase-5500	202	29	criterion	criterion	NOUN
ajase-5500	202	30	(	(	PUNCT
ajase-5500	202	31	bic	bic	PROPN
ajase-5500	202	32	)	)	PUNCT
ajase-5500	202	33	,	,	PUNCT
ajase-5500	202	34	log	log	NOUN
ajase-5500	202	35	-	-	PUNCT
ajase-5500	202	36	likelihood	likelihood	NOUN
ajase-5500	202	37	(	(	PUNCT
ajase-5500	202	38	loglik	loglik	NOUN
ajase-5500	202	39	)	)	PUNCT
ajase-5500	202	40	,	,	PUNCT
ajase-5500	202	41	and	and	CCONJ
ajase-5500	202	42	schwarz	schwarz	PROPN
ajase-5500	202	43	information	information	NOUN
ajase-5500	202	44	criterion	criterion	NOUN
ajase-5500	202	45	(	(	PUNCT
ajase-5500	202	46	sic	sic	ADJ
ajase-5500	202	47	)	)	PUNCT
ajase-5500	202	48	across	across	ADP
ajase-5500	202	49	seven	seven	NUM
ajase-5500	202	50	competing	compete	VERB
ajase-5500	202	51	models	model	NOUN
ajase-5500	202	52	and	and	CCONJ
ajase-5500	202	53	four	four	NUM
ajase-5500	202	54	climate	climate	NOUN
ajase-5500	202	55	variables	variable	NOUN
ajase-5500	202	56	:	:	PUNCT
ajase-5500	202	57	air	air	NOUN
ajase-5500	202	58	temperature	temperature	NOUN
ajase-5500	202	59	,	,	PUNCT
ajase-5500	202	60	precipitation	precipitation	NOUN
ajase-5500	202	61	,	,	PUNCT
ajase-5500	202	62	heat	heat	NOUN
ajase-5500	202	63	days	day	NOUN
ajase-5500	202	64	,	,	PUNCT
ajase-5500	202	65	and	and	CCONJ
ajase-5500	202	66	wet	wet	ADJ
ajase-5500	202	67	days	day	NOUN
ajase-5500	202	68	.	.	PUNCT
ajase-5500	203	1	these	these	DET
ajase-5500	203	2	metrics	metric	NOUN
ajase-5500	203	3	collectively	collectively	ADV
ajase-5500	203	4	provide	provide	VERB
ajase-5500	203	5	insight	insight	NOUN
ajase-5500	203	6	into	into	ADP
ajase-5500	203	7	how	how	SCONJ
ajase-5500	203	8	well	well	ADV
ajase-5500	203	9	each	each	DET
ajase-5500	203	10	model	model	NOUN
ajase-5500	203	11	balances	balance	VERB
ajase-5500	203	12	goodness	goodness	NOUN
ajase-5500	203	13	-	-	PUNCT
ajase-5500	203	14	offit	offit	NOUN
ajase-5500	203	15	with	with	ADP
ajase-5500	203	16	model	model	NOUN
ajase-5500	203	17	complexity	complexity	NOUN
ajase-5500	203	18	.	.	PUNCT
ajase-5500	204	1	from	from	ADP
ajase-5500	204	2	the	the	DET
ajase-5500	204	3	table	table	NOUN
ajase-5500	204	4	,	,	PUNCT
ajase-5500	204	5	group	group	NOUN
ajase-5500	204	6	lasso	lasso	NOUN
ajase-5500	204	7	emerges	emerge	VERB
ajase-5500	204	8	as	as	ADP
ajase-5500	204	9	the	the	DET
ajase-5500	204	10	most	most	ADV
ajase-5500	204	11	consistently	consistently	ADV
ajase-5500	204	12	well	well	ADV
ajase-5500	204	13	-	-	PUNCT
ajase-5500	204	14	fitting	fit	VERB
ajase-5500	204	15	model	model	NOUN
ajase-5500	204	16	across	across	ADP
ajase-5500	204	17	all	all	DET
ajase-5500	204	18	climate	climate	NOUN
ajase-5500	204	19	variables	variable	NOUN
ajase-5500	204	20	.	.	PUNCT
ajase-5500	205	1	it	it	PRON
ajase-5500	205	2	achieves	achieve	VERB
ajase-5500	205	3	the	the	DET
ajase-5500	205	4	lowest	low	ADJ
ajase-5500	205	5	aic	aic	PROPN
ajase-5500	205	6	,	,	PUNCT
ajase-5500	205	7	bic	bic	PROPN
ajase-5500	205	8	,	,	PUNCT
ajase-5500	205	9	and	and	CCONJ
ajase-5500	205	10	sic	sic	ADJ
ajase-5500	205	11	values	value	NOUN
ajase-5500	205	12	,	,	PUNCT
ajase-5500	205	13	and	and	CCONJ
ajase-5500	205	14	the	the	DET
ajase-5500	205	15	highest	high	ADJ
ajase-5500	205	16	log	log	NOUN
ajase-5500	205	17	-	-	PUNCT
ajase-5500	205	18	likelihoods	likelihood	NOUN
ajase-5500	205	19	,	,	PUNCT
ajase-5500	205	20	signaling	signal	VERB
ajase-5500	205	21	superior	superior	ADJ
ajase-5500	205	22	model	model	NOUN
ajase-5500	205	23	parsimony	parsimony	NOUN
ajase-5500	205	24	and	and	CCONJ
ajase-5500	205	25	explanatory	explanatory	ADJ
ajase-5500	205	26	power	power	NOUN
ajase-5500	205	27	.	.	PUNCT
ajase-5500	206	1	for	for	ADP
ajase-5500	206	2	example	example	NOUN
ajase-5500	206	3	,	,	PUNCT
ajase-5500	206	4	in	in	ADP
ajase-5500	206	5	the	the	DET
ajase-5500	206	6	modeling	modeling	NOUN
ajase-5500	206	7	of	of	ADP
ajase-5500	206	8	air	air	NOUN
ajase-5500	206	9	temperature	temperature	NOUN
ajase-5500	206	10	,	,	PUNCT
ajase-5500	206	11	group	group	NOUN
ajase-5500	206	12	lasso	lasso	NOUN
ajase-5500	206	13	records	record	VERB
ajase-5500	206	14	an	an	DET
ajase-5500	206	15	aic	aic	PROPN
ajase-5500	206	16	of	of	ADP
ajase-5500	206	17	52.58	52.58	NUM
ajase-5500	206	18	,	,	PUNCT
ajase-5500	206	19	significantly	significantly	ADV
ajase-5500	206	20	outperforming	outperform	VERB
ajase-5500	206	21	traditional	traditional	ADJ
ajase-5500	206	22	arima	arima	NOUN
ajase-5500	206	23	(	(	PUNCT
ajase-5500	206	24	aic	aic	PROPN
ajase-5500	206	25	=	=	PROPN
ajase-5500	206	26	68.73	68.73	NUM
ajase-5500	206	27	)	)	PUNCT
ajase-5500	206	28	and	and	CCONJ
ajase-5500	206	29	pca	pca	NOUN
ajase-5500	206	30	-	-	PUNCT
ajase-5500	206	31	based	base	VERB
ajase-5500	206	32	dfm	dfm	PROPN
ajase-5500	206	33	(	(	PUNCT
ajase-5500	206	34	aic	aic	PROPN
ajase-5500	206	35	=	=	PROPN
ajase-5500	206	36	183.24	183.24	NUM
ajase-5500	206	37	)	)	PUNCT
ajase-5500	206	38	.	.	PUNCT
ajase-5500	207	1	this	this	DET
ajase-5500	207	2	pattern	pattern	NOUN
ajase-5500	207	3	holds	hold	VERB
ajase-5500	207	4	for	for	ADP
ajase-5500	207	5	precipitation	precipitation	NOUN
ajase-5500	207	6	(	(	PUNCT
ajase-5500	207	7	aic	aic	PROPN
ajase-5500	207	8	=	=	PROPN
ajase-5500	207	9	79.12	79.12	NUM
ajase-5500	207	10	)	)	PUNCT
ajase-5500	207	11	,	,	PUNCT
ajase-5500	207	12	heat	heat	NOUN
ajase-5500	207	13	days	day	NOUN
ajase-5500	207	14	(	(	PUNCT
ajase-5500	207	15	aic	aic	PROPN
ajase-5500	207	16	=	=	PROPN
ajase-5500	207	17	103.77	103.77	NUM
ajase-5500	207	18	)	)	PUNCT
ajase-5500	207	19	,	,	PUNCT
ajase-5500	207	20	and	and	CCONJ
ajase-5500	207	21	wet	wet	ADJ
ajase-5500	207	22	days	day	NOUN
ajase-5500	207	23	(	(	PUNCT
ajase-5500	207	24	aic	aic	PROPN
ajase-5500	207	25	=	=	PROPN
ajase-5500	207	26	85.67	85.67	NUM
ajase-5500	207	27	)	)	PUNCT
ajase-5500	207	28	,	,	PUNCT
ajase-5500	207	29	confirming	confirm	VERB
ajase-5500	207	30	the	the	DET
ajase-5500	207	31	efficiency	efficiency	NOUN
ajase-5500	207	32	of	of	ADP
ajase-5500	207	33	group	group	NOUN
ajase-5500	207	34	lasso	lasso	NOUN
ajase-5500	207	35	in	in	ADP
ajase-5500	207	36	managing	manage	VERB
ajase-5500	207	37	complex	complex	ADJ
ajase-5500	207	38	multivariate	multivariate	NOUN
ajase-5500	207	39	relationships	relationship	NOUN
ajase-5500	207	40	.	.	PUNCT
ajase-5500	208	1	looking	look	VERB
ajase-5500	208	2	at	at	ADP
ajase-5500	208	3	bic	bic	NOUN
ajase-5500	208	4	and	and	CCONJ
ajase-5500	208	5	sic	sic	ADJ
ajase-5500	208	6	,	,	PUNCT
ajase-5500	208	7	which	which	PRON
ajase-5500	208	8	penalize	penalize	VERB
ajase-5500	208	9	complexity	complexity	NOUN
ajase-5500	208	10	more	more	ADV
ajase-5500	208	11	heavily	heavily	ADV
ajase-5500	208	12	than	than	ADP
ajase-5500	208	13	aic	aic	PROPN
ajase-5500	208	14	,	,	PUNCT
ajase-5500	208	15	group	group	NOUN
ajase-5500	208	16	lasso	lasso	NOUN
ajase-5500	208	17	maintains	maintain	VERB
ajase-5500	208	18	its	its	PRON
ajase-5500	208	19	dominance	dominance	NOUN
ajase-5500	208	20	.	.	PUNCT
ajase-5500	209	1	its	its	PRON
ajase-5500	209	2	lowest	low	ADJ
ajase-5500	209	3	bic	bic	PROPN
ajase-5500	209	4	scores	score	NOUN
ajase-5500	209	5	(	(	PUNCT
ajase-5500	209	6	e.g.	e.g.	ADV
ajase-5500	209	7	,	,	PUNCT
ajase-5500	209	8	58.76	58.76	NUM
ajase-5500	209	9	for	for	ADP
ajase-5500	209	10	air	air	NOUN
ajase-5500	209	11	temperature	temperature	NOUN
ajase-5500	209	12	and	and	CCONJ
ajase-5500	209	13	84.77	84.77	NUM
ajase-5500	209	14	for	for	ADP
ajase-5500	209	15	precipitation	precipitation	NOUN
ajase-5500	209	16	)	)	PUNCT
ajase-5500	209	17	suggest	suggest	VERB
ajase-5500	209	18	that	that	SCONJ
ajase-5500	209	19	it	it	PRON
ajase-5500	209	20	achieves	achieve	VERB
ajase-5500	209	21	excellent	excellent	ADJ
ajase-5500	209	22	model	model	NOUN
ajase-5500	209	23	parsimony	parsimony	NOUN
ajase-5500	209	24	despite	despite	SCONJ
ajase-5500	209	25	fitting	fitting	ADJ
ajase-5500	209	26	high	high	ADJ
ajase-5500	209	27	-	-	PUNCT
ajase-5500	209	28	dimensional	dimensional	ADJ
ajase-5500	209	29	data	datum	NOUN
ajase-5500	209	30	.	.	PUNCT
ajase-5500	210	1	similarly	similarly	ADV
ajase-5500	210	2	,	,	PUNCT
ajase-5500	210	3	the	the	DET
ajase-5500	210	4	lowest	low	ADJ
ajase-5500	210	5	sic	sic	ADJ
ajase-5500	210	6	values	value	NOUN
ajase-5500	210	7	across	across	ADP
ajase-5500	210	8	all	all	DET
ajase-5500	210	9	variables	variable	NOUN
ajase-5500	210	10	further	far	ADV
ajase-5500	210	11	confirm	confirm	VERB
ajase-5500	210	12	the	the	DET
ajase-5500	210	13	model	model	NOUN
ajase-5500	210	14	’s	’s	PART
ajase-5500	210	15	robustness	robustness	NOUN
ajase-5500	210	16	and	and	CCONJ
ajase-5500	210	17	generalizability	generalizability	NOUN
ajase-5500	210	18	to	to	ADP
ajase-5500	210	19	new	new	ADJ
ajase-5500	210	20	data	datum	NOUN
ajase-5500	210	21	.	.	PUNCT
ajase-5500	211	1	the	the	DET
ajase-5500	211	2	log	log	NOUN
ajase-5500	211	3	-	-	PUNCT
ajase-5500	211	4	likelihood	likelihood	NOUN
ajase-5500	211	5	scores	score	NOUN
ajase-5500	211	6	follow	follow	VERB
ajase-5500	211	7	the	the	DET
ajase-5500	211	8	same	same	ADJ
ajase-5500	211	9	trend	trend	NOUN
ajase-5500	211	10	:	:	PUNCT
ajase-5500	211	11	group	group	NOUN
ajase-5500	211	12	lasso	lasso	NOUN
ajase-5500	211	13	consistently	consistently	ADV
ajase-5500	211	14	achieves	achieve	VERB
ajase-5500	211	15	the	the	DET
ajase-5500	211	16	least	least	ADJ
ajase-5500	211	17	negative	negative	ADJ
ajase-5500	211	18	values	value	NOUN
ajase-5500	211	19	,	,	PUNCT
ajase-5500	211	20	e.g.	e.g.	ADV
ajase-5500	211	21	,	,	PUNCT
ajase-5500	211	22	-26.29	-26.29	PROPN
ajase-5500	211	23	for	for	ADP
ajase-5500	211	24	air	air	NOUN
ajase-5500	211	25	temperature	temperature	NOUN
ajase-5500	211	26	and	and	CCONJ
ajase-5500	211	27	-51.89	-51.89	PROPN
ajase-5500	211	28	for	for	ADP
ajase-5500	211	29	heat	heat	NOUN
ajase-5500	211	30	days	day	NOUN
ajase-5500	211	31	,	,	PUNCT
ajase-5500	211	32	indicating	indicate	VERB
ajase-5500	211	33	a	a	DET
ajase-5500	211	34	higher	high	ADJ
ajase-5500	211	35	likelihood	likelihood	NOUN
ajase-5500	211	36	of	of	ADP
ajase-5500	211	37	observing	observe	VERB
ajase-5500	211	38	the	the	DET
ajase-5500	211	39	data	datum	NOUN
ajase-5500	211	40	given	give	VERB
ajase-5500	211	41	the	the	DET
ajase-5500	211	42	fitted	fit	VERB
ajase-5500	211	43	model	model	NOUN
ajase-5500	211	44	.	.	PUNCT
ajase-5500	212	1	in	in	ADP
ajase-5500	212	2	contrast	contrast	NOUN
ajase-5500	212	3	,	,	PUNCT
ajase-5500	212	4	pca	pca	PROPN
ajase-5500	212	5	and	and	CCONJ
ajase-5500	212	6	two	two	NUM
ajase-5500	212	7	-	-	PUNCT
ajase-5500	212	8	stage	stage	NOUN
ajase-5500	212	9	dfm	dfm	NOUN
ajase-5500	212	10	models	model	NOUN
ajase-5500	212	11	perform	perform	VERB
ajase-5500	212	12	relatively	relatively	ADV
ajase-5500	212	13	poorly	poorly	ADV
ajase-5500	212	14	,	,	PUNCT
ajase-5500	212	15	particularly	particularly	ADV
ajase-5500	212	16	in	in	ADP
ajase-5500	212	17	terms	term	NOUN
ajase-5500	212	18	of	of	ADP
ajase-5500	212	19	aic	aic	PROPN
ajase-5500	212	20	and	and	CCONJ
ajase-5500	212	21	loglikelihood	loglikelihood	NOUN
ajase-5500	212	22	.	.	PUNCT
ajase-5500	213	1	for	for	ADP
ajase-5500	213	2	instance	instance	NOUN
ajase-5500	213	3	,	,	PUNCT
ajase-5500	213	4	pca	pca	PROPN
ajase-5500	213	5	yields	yield	VERB
ajase-5500	213	6	the	the	DET
ajase-5500	213	7	worst	bad	ADJ
ajase-5500	213	8	aic	aic	PROPN
ajase-5500	213	9	for	for	ADP
ajase-5500	213	10	air	air	NOUN
ajase-5500	213	11	temperature	temperature	NOUN
ajase-5500	213	12	(	(	PUNCT
ajase-5500	213	13	183.24	183.24	NUM
ajase-5500	213	14	)	)	PUNCT
ajase-5500	213	15	and	and	CCONJ
ajase-5500	213	16	the	the	DET
ajase-5500	213	17	lowest	low	ADJ
ajase-5500	213	18	log	log	NOUN
ajase-5500	213	19	-	-	PUNCT
ajase-5500	213	20	likelihood	likelihood	NOUN
ajase-5500	213	21	across	across	ADP
ajase-5500	213	22	all	all	DET
ajase-5500	213	23	variables	variable	NOUN
ajase-5500	213	24	.	.	PUNCT
ajase-5500	214	1	these	these	DET
ajase-5500	214	2	results	result	NOUN
ajase-5500	214	3	suggest	suggest	VERB
ajase-5500	214	4	overfitting	overfitte	VERB
ajase-5500	214	5	or	or	CCONJ
ajase-5500	214	6	inadequate	inadequate	ADJ
ajase-5500	214	7	representation	representation	NOUN
ajase-5500	214	8	of	of	ADP
ajase-5500	214	9	complex	complex	ADJ
ajase-5500	214	10	climate	climate	NOUN
ajase-5500	214	11	dynamics	dynamic	NOUN
ajase-5500	214	12	.	.	PUNCT
ajase-5500	215	1	interestingly	interestingly	ADV
ajase-5500	215	2	,	,	PUNCT
ajase-5500	215	3	while	while	SCONJ
ajase-5500	215	4	lasso	lasso	NOUN
ajase-5500	215	5	also	also	ADV
ajase-5500	215	6	performs	perform	VERB
ajase-5500	215	7	well	well	ADV
ajase-5500	215	8	,	,	PUNCT
ajase-5500	215	9	it	it	PRON
ajase-5500	215	10	slightly	slightly	ADV
ajase-5500	215	11	lags	lag	VERB
ajase-5500	215	12	behind	behind	ADP
ajase-5500	215	13	group	group	NOUN
ajase-5500	215	14	lasso	lasso	NOUN
ajase-5500	215	15	,	,	PUNCT
ajase-5500	215	16	particularly	particularly	ADV
ajase-5500	215	17	in	in	ADP
ajase-5500	215	18	sic	sic	ADJ
ajase-5500	215	19	and	and	CCONJ
ajase-5500	215	20	bic	bic	NOUN
ajase-5500	215	21	metrics	metric	NOUN
ajase-5500	215	22	.	.	PUNCT
ajase-5500	216	1	for	for	ADP
ajase-5500	216	2	example	example	NOUN
ajase-5500	216	3	,	,	PUNCT
ajase-5500	216	4	its	its	PRON
ajase-5500	216	5	sic	sic	NOUN
ajase-5500	216	6	for	for	ADP
ajase-5500	216	7	wet	wet	ADJ
ajase-5500	216	8	days	day	NOUN
ajase-5500	216	9	is	be	AUX
ajase-5500	216	10	107.11	107.11	NUM
ajase-5500	216	11	compared	compare	VERB
ajase-5500	216	12	to	to	ADP
ajase-5500	216	13	97.52	97.52	NUM
ajase-5500	216	14	for	for	ADP
ajase-5500	216	15	group	group	NOUN
ajase-5500	216	16	lasso	lasso	NOUN
ajase-5500	216	17	.	.	PUNCT
ajase-5500	217	1	this	this	DET
ajase-5500	217	2	gap	gap	NOUN
ajase-5500	217	3	implies	imply	VERB
ajase-5500	217	4	that	that	SCONJ
ajase-5500	217	5	group	group	NOUN
ajase-5500	217	6	lasso	lasso	PROPN
ajase-5500	217	7	’s	’s	PART
ajase-5500	217	8	grouped	group	VERB
ajase-5500	217	9	penalization	penalization	NOUN
ajase-5500	217	10	leads	lead	VERB
ajase-5500	217	11	to	to	ADP
ajase-5500	217	12	more	more	ADV
ajase-5500	217	13	efficient	efficient	ADJ
ajase-5500	217	14	model	model	NOUN
ajase-5500	217	15	selection	selection	NOUN
ajase-5500	217	16	and	and	CCONJ
ajase-5500	217	17	better	well	ADJ
ajase-5500	217	18	performance	performance	NOUN
ajase-5500	217	19	under	under	ADP
ajase-5500	217	20	information	information	NOUN
ajase-5500	217	21	-	-	PUNCT
ajase-5500	217	22	theoretic	theoretic	NOUN
ajase-5500	217	23	criteria	criterion	NOUN
ajase-5500	217	24	.	.	PUNCT
ajase-5500	218	1	figure	figure	VERB
ajase-5500	218	2	3	3	NUM
ajase-5500	218	3	:	:	PUNCT
ajase-5500	218	4	aic	aic	PROPN
ajase-5500	218	5	,	,	PUNCT
ajase-5500	218	6	bic	bic	PROPN
ajase-5500	218	7	,	,	PUNCT
ajase-5500	218	8	loglikelihood	loglikelihood	NOUN
ajase-5500	218	9	and	and	CCONJ
ajase-5500	218	10	sic	sic	ADJ
ajase-5500	218	11	across	across	ADP
ajase-5500	218	12	models	model	NOUN
ajase-5500	218	13	by	by	ADP
ajase-5500	218	14	climate	climate	NOUN
ajase-5500	218	15	variable	variable	ADJ
ajase-5500	218	16	conclusion	conclusion	NOUN
ajase-5500	218	17	result	result	VERB
ajase-5500	218	18	from	from	ADP
ajase-5500	218	19	application	application	NOUN
ajase-5500	218	20	to	to	ADP
ajase-5500	218	21	climate	climate	NOUN
ajase-5500	218	22	data	datum	NOUN
ajase-5500	218	23	revealed	reveal	VERB
ajase-5500	218	24	that	that	SCONJ
ajase-5500	218	25	group	group	NOUN
ajase-5500	218	26	lasso	lasso	NOUN
ajase-5500	218	27	consistently	consistently	ADV
ajase-5500	218	28	yielded	yield	VERB
ajase-5500	218	29	the	the	DET
ajase-5500	218	30	lowest	low	ADJ
ajase-5500	218	31	mse	mse	NOUN
ajase-5500	218	32	across	across	ADP
ajase-5500	218	33	key	key	ADJ
ajase-5500	218	34	variables	variable	NOUN
ajase-5500	218	35	,	,	PUNCT
ajase-5500	218	36	air	air	NOUN
ajase-5500	218	37	temperature	temperature	NOUN
ajase-5500	218	38	(	(	PUNCT
ajase-5500	218	39	mse	mse	NOUN
ajase-5500	218	40	=	=	SYM
ajase-5500	218	41	0.3854	0.3854	NUM
ajase-5500	218	42	)	)	PUNCT
ajase-5500	218	43	,	,	PUNCT
ajase-5500	218	44	precipitation	precipitation	NOUN
ajase-5500	218	45	(	(	PUNCT
ajase-5500	218	46	921.27	921.27	NUM
ajase-5500	218	47	)	)	PUNCT
ajase-5500	218	48	,	,	PUNCT
ajase-5500	218	49	heat	heat	NOUN
ajase-5500	218	50	days	day	NOUN
ajase-5500	218	51	(	(	PUNCT
ajase-5500	218	52	296.85	296.85	NUM
ajase-5500	218	53	)	)	PUNCT
ajase-5500	218	54	,	,	PUNCT
ajase-5500	218	55	and	and	CCONJ
ajase-5500	218	56	wet	wet	ADJ
ajase-5500	218	57	days	day	NOUN
ajase-5500	218	58	(	(	PUNCT
ajase-5500	218	59	748.90	748.90	NUM
ajase-5500	218	60	)	)	PUNCT
ajase-5500	218	61	outperforming	outperform	VERB
ajase-5500	218	62	all	all	DET
ajase-5500	218	63	benchmark	benchmark	NOUN
ajase-5500	218	64	models	model	NOUN
ajase-5500	218	65	.	.	PUNCT
ajase-5500	219	1	arima	arima	PROPN
ajase-5500	219	2	,	,	PUNCT
ajase-5500	219	3	pca	pca	PROPN
ajase-5500	219	4	,	,	PUNCT
ajase-5500	219	5	and	and	CCONJ
ajase-5500	219	6	two	two	NUM
ajase-5500	219	7	-	-	PUNCT
ajase-5500	219	8	stage	stage	NOUN
ajase-5500	219	9	dfm	dfm	NOUN
ajase-5500	219	10	recorded	record	VERB
ajase-5500	219	11	substantially	substantially	ADV
ajase-5500	219	12	higher	high	ADJ
ajase-5500	219	13	errors	error	NOUN
ajase-5500	219	14	,	,	PUNCT
ajase-5500	219	15	highlighting	highlight	VERB
ajase-5500	219	16	their	their	PRON
ajase-5500	219	17	inability	inability	NOUN
ajase-5500	219	18	to	to	PART
ajase-5500	219	19	capture	capture	VERB
ajase-5500	219	20	intricate	intricate	ADJ
ajase-5500	219	21	,	,	PUNCT
ajase-5500	219	22	nonlinear	nonlinear	ADJ
ajase-5500	219	23	dependencies	dependency	NOUN
ajase-5500	219	24	present	present	ADJ
ajase-5500	219	25	in	in	ADP
ajase-5500	219	26	climate	climate	NOUN
ajase-5500	219	27	processes	process	NOUN
ajase-5500	219	28	.	.	PUNCT
ajase-5500	220	1	in	in	ADP
ajase-5500	220	2	terms	term	NOUN
ajase-5500	220	3	of	of	ADP
ajase-5500	220	4	model	model	NOUN
ajase-5500	220	5	fit	fit	PROPN
ajase-5500	220	6	,	,	PUNCT
ajase-5500	220	7	group	group	NOUN
ajase-5500	220	8	lasso	lasso	NOUN
ajase-5500	220	9	once	once	ADV
ajase-5500	220	10	again	again	ADV
ajase-5500	220	11	outperformed	outperform	VERB
ajase-5500	220	12	all	all	DET
ajase-5500	220	13	competitors	competitor	NOUN
ajase-5500	220	14	with	with	ADP
ajase-5500	220	15	the	the	DET
ajase-5500	220	16	lowest	low	ADJ
ajase-5500	220	17	aic	aic	PROPN
ajase-5500	220	18	,	,	PUNCT
ajase-5500	220	19	bic	bic	PROPN
ajase-5500	220	20	,	,	PUNCT
ajase-5500	220	21	and	and	CCONJ
ajase-5500	220	22	sic	sic	ADJ
ajase-5500	220	23	values	value	NOUN
ajase-5500	220	24	across	across	ADP
ajase-5500	220	25	all	all	DET
ajase-5500	220	26	variables	variable	NOUN
ajase-5500	220	27	,	,	PUNCT
ajase-5500	220	28	and	and	CCONJ
ajase-5500	220	29	the	the	DET
ajase-5500	220	30	highest	high	ADJ
ajase-5500	220	31	log	log	NOUN
ajase-5500	220	32	-	-	PUNCT
ajase-5500	220	33	likelihoods	likelihood	NOUN
ajase-5500	220	34	.	.	PUNCT
ajase-5500	221	1	for	for	ADP
ajase-5500	221	2	instance	instance	NOUN
ajase-5500	221	3	,	,	PUNCT
ajase-5500	221	4	in	in	ADP
ajase-5500	221	5	modeling	model	VERB
ajase-5500	221	6	air	air	NOUN
ajase-5500	221	7	temperature	temperature	NOUN
ajase-5500	221	8	,	,	PUNCT
ajase-5500	221	9	it	it	PRON
ajase-5500	221	10	posted	post	VERB
ajase-5500	221	11	an	an	DET
ajase-5500	221	12	aic	aic	PROPN
ajase-5500	221	13	of	of	ADP
ajase-5500	221	14	52.58	52.58	NUM
ajase-5500	221	15	and	and	CCONJ
ajase-5500	221	16	a	a	DET
ajase-5500	221	17	log	log	NOUN
ajase-5500	221	18	-	-	PUNCT
ajase-5500	221	19	likelihood	likelihood	NOUN
ajase-5500	221	20	of	of	ADP
ajase-5500	221	21	-26.29	-26.29	PROPN
ajase-5500	221	22	,	,	PUNCT
ajase-5500	221	23	compared	compare	VERB
ajase-5500	221	24	to	to	ADP
ajase-5500	221	25	pca	pca	PROPN
ajase-5500	221	26	’s	’s	PART
ajase-5500	221	27	aic	aic	PROPN
ajase-5500	221	28	of	of	ADP
ajase-5500	221	29	183.24	183.24	NUM
ajase-5500	221	30	and	and	CCONJ
ajase-5500	221	31	log	log	NOUN
ajase-5500	221	32	-	-	PUNCT
ajase-5500	221	33	likelihood	likelihood	NOUN
ajase-5500	221	34	of	of	ADP
ajase-5500	221	35	-91.62	-91.62	PROPN
ajase-5500	221	36	.	.	PROPN
ajase-5500	221	37	based	base	VERB
ajase-5500	221	38	on	on	ADP
ajase-5500	221	39	the	the	DET
ajase-5500	221	40	findings	finding	NOUN
ajase-5500	221	41	from	from	ADP
ajase-5500	221	42	this	this	DET
ajase-5500	221	43	study	study	NOUN
ajase-5500	221	44	,	,	PUNCT
ajase-5500	221	45	for	for	ADP
ajase-5500	221	46	annual	annual	ADJ
ajase-5500	221	47	average	average	ADJ
ajase-5500	221	48	mean	mean	NOUN
ajase-5500	221	49	surface	surface	NOUN
ajase-5500	221	50	air	air	NOUN
ajase-5500	221	51	temperature	temperature	NOUN
ajase-5500	221	52	,	,	PUNCT
ajase-5500	221	53	annual	annual	ADJ
ajase-5500	221	54	precipitation	precipitation	NOUN
ajase-5500	221	55	,	,	PUNCT
ajase-5500	221	56	number	number	NOUN
ajase-5500	221	57	of	of	ADP
ajase-5500	221	58	days	day	NOUN
ajase-5500	221	59	with	with	ADP
ajase-5500	221	60	heat	heat	NOUN
ajase-5500	221	61	index	index	NOUN
ajase-5500	221	62	>	>	X
ajase-5500	221	63	35	35	NUM
ajase-5500	221	64	°	°	SYM
ajase-5500	221	65	c	c	NOUN
ajase-5500	221	66	,	,	PUNCT
ajase-5500	221	67	and	and	CCONJ
ajase-5500	221	68	maximum	maximum	ADJ
ajase-5500	221	69	number	number	NOUN
ajase-5500	221	70	of	of	ADP
ajase-5500	221	71	consecutive	consecutive	ADJ
ajase-5500	221	72	wet	wet	ADJ
ajase-5500	221	73	days	day	NOUN
ajase-5500	221	74	,	,	PUNCT
ajase-5500	221	75	the	the	DET
ajase-5500	221	76	lasso	lasso	NOUN
ajase-5500	221	77	and	and	CCONJ
ajase-5500	221	78	group	group	NOUN
ajase-5500	221	79	lasso	lasso	NOUN
ajase-5500	221	80	should	should	AUX
ajase-5500	221	81	be	be	AUX
ajase-5500	221	82	utilized	utilize	VERB
ajase-5500	221	83	.	.	PUNCT
ajase-5500	222	1	references	reference	NOUN
ajase-5500	222	2	adams	adams	PROPN
ajase-5500	222	3	,	,	PUNCT
ajase-5500	222	4	s.	s.	PROPN
ajase-5500	222	5	o.	o.	PROPN
ajase-5500	222	6	,	,	PUNCT
ajase-5500	222	7	&	&	CCONJ
ajase-5500	222	8	bamanga	bamanga	PROPN
ajase-5500	222	9	,	,	PUNCT
ajase-5500	222	10	m.	m.	NOUN
ajase-5500	222	11	a.	a.	NOUN
ajase-5500	222	12	(	(	PUNCT
ajase-5500	222	13	2020	2020	NUM
ajase-5500	222	14	)	)	PUNCT
ajase-5500	222	15	.	.	PUNCT
ajase-5500	223	1	modelling	modelling	NOUN
ajase-5500	223	2	and	and	CCONJ
ajase-5500	223	3	forecasting	forecast	VERB
ajase-5500	223	4	seasonal	seasonal	ADJ
ajase-5500	223	5	behavior	behavior	NOUN
ajase-5500	223	6	of	of	ADP
ajase-5500	223	7	rainfall	rainfall	NOUN
ajase-5500	223	8	in	in	ADP
ajase-5500	223	9	abuja	abuja	PROPN
ajase-5500	223	10	,	,	PUNCT
ajase-5500	223	11	nigeria	nigeria	PROPN
ajase-5500	223	12	:	:	PUNCT
ajase-5500	223	13	a	a	DET
ajase-5500	223	14	sarima	sarima	NOUN
ajase-5500	223	15	approach	approach	NOUN
ajase-5500	223	16	.	.	PUNCT
ajase-5500	224	1	american	american	ADJ
ajase-5500	224	2	journal	journal	PROPN
ajase-5500	224	3	of	of	ADP
ajase-5500	224	4	mathematics	mathematics	PROPN
ajase-5500	224	5	and	and	CCONJ
ajase-5500	224	6	statistics	statistic	NOUN
ajase-5500	224	7	,	,	PUNCT
ajase-5500	224	8	10(1	10(1	NUM
ajase-5500	224	9	)	)	PUNCT
ajase-5500	224	10	,	,	PUNCT
ajase-5500	224	11	10–19	10–19	NUM
ajase-5500	224	12	.	.	PUNCT
ajase-5500	225	1	https://doi	https://doi	PROPN
ajase-5500	225	2	.	.	PUNCT
ajase-5500	225	3	org/10.5923	org/10.5923	PROPN
ajase-5500	225	4	/	/	SYM
ajase-5500	225	5	j.ajms.20201001.02	j.ajms.20201001.02	PROPN
ajase-5500	225	6	adams	adams	PROPN
ajase-5500	225	7	,	,	PUNCT
ajase-5500	225	8	s.	s.	PROPN
ajase-5500	225	9	o.	o.	PROPN
ajase-5500	225	10	,	,	PUNCT
ajase-5500	225	11	mustapha	mustapha	PROPN
ajase-5500	225	12	,	,	PUNCT
ajase-5500	225	13	b.	b.	PROPN
ajase-5500	225	14	,	,	PUNCT
ajase-5500	225	15	&	&	CCONJ
ajase-5500	225	16	alumbugu	alumbugu	PROPN
ajase-5500	225	17	,	,	PUNCT
ajase-5500	225	18	a.	a.	NOUN
ajase-5500	225	19	i.	i.	PROPN
ajase-5500	225	20	(	(	PUNCT
ajase-5500	225	21	2019	2019	NUM
ajase-5500	225	22	)	)	PUNCT
ajase-5500	225	23	.	.	PUNCT
ajase-5500	226	1	seasonal	seasonal	ADJ
ajase-5500	226	2	autoregressive	autoregressive	ADJ
ajase-5500	226	3	integrated	integrated	ADJ
ajase-5500	226	4	moving	move	VERB
ajase-5500	226	5	average	average	ADJ
ajase-5500	226	6	(	(	PUNCT
ajase-5500	226	7	sarima	sarima	NOUN
ajase-5500	226	8	)	)	PUNCT
ajase-5500	226	9	model	model	NOUN
ajase-5500	226	10	for	for	ADP
ajase-5500	226	11	the	the	DET
ajase-5500	226	12	analysis	analysis	NOUN
ajase-5500	226	13	of	of	ADP
ajase-5500	226	14	frequency	frequency	NOUN
ajase-5500	226	15	pa	pa	PROPN
ajase-5500	226	16	ge	ge	PROPN
ajase-5500	226	17	78	78	NUM
ajase-5500	227	1	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	227	2	am	be	AUX
ajase-5500	227	3	.	.	PUNCT
ajase-5500	228	1	j.	j.	PROPN
ajase-5500	228	2	appl	appl	PROPN
ajase-5500	228	3	.	.	PROPN
ajase-5500	229	1	stat	stat	PROPN
ajase-5500	229	2	.	.	PUNCT
ajase-5500	230	1	econ	econ	PROPN
ajase-5500	230	2	.	.	PUNCT
ajase-5500	231	1	4(1	4(1	X
ajase-5500	231	2	)	)	PUNCT
ajase-5500	232	1	70	70	NUM
ajase-5500	232	2	-	-	SYM
ajase-5500	232	3	79	79	NUM
ajase-5500	232	4	,	,	PUNCT
ajase-5500	232	5	2025	2025	NUM
ajase-5500	232	6	of	of	ADP
ajase-5500	232	7	monthly	monthly	ADJ
ajase-5500	232	8	rainfall	rainfall	NOUN
ajase-5500	232	9	in	in	ADP
ajase-5500	232	10	osun	osun	PROPN
ajase-5500	232	11	state	state	PROPN
ajase-5500	232	12	,	,	PUNCT
ajase-5500	232	13	nigeria	nigeria	PROPN
ajase-5500	232	14	.	.	PUNCT
ajase-5500	233	1	physical	physical	PROPN
ajase-5500	233	2	science	science	PROPN
ajase-5500	233	3	international	international	PROPN
ajase-5500	233	4	journal	journal	PROPN
ajase-5500	233	5	,	,	PUNCT
ajase-5500	233	6	22(4	22(4	NUM
ajase-5500	233	7	)	)	PUNCT
ajase-5500	233	8	,	,	PUNCT
ajase-5500	233	9	1–14	1–14	PROPN
ajase-5500	233	10	.	.	PUNCT
ajase-5500	234	1	https://doi	https://doi	PROPN
ajase-5500	234	2	.	.	PUNCT
ajase-5500	234	3	org/10.9734	org/10.9734	PROPN
ajase-5500	234	4	/	/	SYM
ajase-5500	234	5	psij/2019	psij/2019	ADJ
ajase-5500	234	6	/	/	SYM
ajase-5500	234	7	v22i430139	v22i430139	NOUN
ajase-5500	234	8	ashiq	ashiq	NOUN
ajase-5500	234	9	,	,	PUNCT
ajase-5500	234	10	m.	m.	PROPN
ajase-5500	234	11	w.	w.	PROPN
ajase-5500	234	12	,	,	PUNCT
ajase-5500	234	13	zhao	zhao	PROPN
ajase-5500	234	14	,	,	PUNCT
ajase-5500	234	15	c.	c.	PROPN
ajase-5500	234	16	,	,	PUNCT
ajase-5500	234	17	ni	ni	PROPN
ajase-5500	234	18	,	,	PUNCT
ajase-5500	234	19	j.	j.	PROPN
ajase-5500	234	20	,	,	PUNCT
ajase-5500	234	21	&	&	CCONJ
ajase-5500	234	22	akhtar	akhtar	PROPN
ajase-5500	234	23	,	,	PUNCT
ajase-5500	234	24	m.	m.	NOUN
ajase-5500	234	25	(	(	PUNCT
ajase-5500	234	26	2010	2010	NUM
ajase-5500	234	27	)	)	PUNCT
ajase-5500	234	28	.	.	PUNCT
ajase-5500	235	1	gis	gis	NOUN
ajase-5500	235	2	-	-	PUNCT
ajase-5500	235	3	based	base	VERB
ajase-5500	235	4	high	high	ADJ
ajase-5500	235	5	-	-	PUNCT
ajase-5500	235	6	resolution	resolution	NOUN
ajase-5500	235	7	spatial	spatial	ADJ
ajase-5500	235	8	interpolation	interpolation	NOUN
ajase-5500	235	9	of	of	ADP
ajase-5500	235	10	precipitation	precipitation	NOUN
ajase-5500	235	11	in	in	ADP
ajase-5500	235	12	mountain	mountain	NOUN
ajase-5500	235	13	-	-	PUNCT
ajase-5500	235	14	plain	plain	NOUN
ajase-5500	235	15	areas	area	NOUN
ajase-5500	235	16	of	of	ADP
ajase-5500	235	17	upper	upper	ADJ
ajase-5500	235	18	pakistan	pakistan	NOUN
ajase-5500	235	19	for	for	ADP
ajase-5500	235	20	regional	regional	ADJ
ajase-5500	235	21	climate	climate	NOUN
ajase-5500	235	22	change	change	NOUN
ajase-5500	235	23	impact	impact	NOUN
ajase-5500	235	24	studies	study	NOUN
ajase-5500	235	25	.	.	PUNCT
ajase-5500	236	1	theoretical	theoretical	ADJ
ajase-5500	236	2	and	and	CCONJ
ajase-5500	236	3	applied	applied	ADJ
ajase-5500	236	4	climatology	climatology	NOUN
ajase-5500	236	5	,	,	PUNCT
ajase-5500	236	6	99	99	NUM
ajase-5500	236	7	,	,	PUNCT
ajase-5500	236	8	239–253	239–253	NUM
ajase-5500	236	9	.	.	PUNCT
ajase-5500	237	1	https://doi.org/10.1007/s00704-009-0140-y	https://doi.org/10.1007/s00704-009-0140-y	PROPN
ajase-5500	237	2	boyd	boyd	PROPN
ajase-5500	237	3	,	,	PUNCT
ajase-5500	237	4	s.	s.	PROPN
ajase-5500	237	5	,	,	PUNCT
ajase-5500	237	6	parikh	parikh	PROPN
ajase-5500	237	7	,	,	PUNCT
ajase-5500	237	8	n.	n.	PROPN
ajase-5500	237	9	,	,	PUNCT
ajase-5500	237	10	chu	chu	PROPN
ajase-5500	237	11	,	,	PUNCT
ajase-5500	237	12	e.	e.	PROPN
ajase-5500	237	13	,	,	PUNCT
ajase-5500	237	14	peleato	peleato	PROPN
ajase-5500	237	15	,	,	PUNCT
ajase-5500	237	16	b.	b.	PROPN
ajase-5500	237	17	,	,	PUNCT
ajase-5500	237	18	&	&	CCONJ
ajase-5500	237	19	eckstein	eckstein	PROPN
ajase-5500	237	20	,	,	PUNCT
ajase-5500	237	21	j.	j.	PROPN
ajase-5500	237	22	(	(	PUNCT
ajase-5500	237	23	2011	2011	NUM
ajase-5500	237	24	)	)	PUNCT
ajase-5500	237	25	.	.	PUNCT
ajase-5500	238	1	distributed	distribute	VERB
ajase-5500	238	2	optimization	optimization	NOUN
ajase-5500	238	3	and	and	CCONJ
ajase-5500	238	4	statistical	statistical	ADJ
ajase-5500	238	5	learning	learning	NOUN
ajase-5500	238	6	via	via	ADP
ajase-5500	238	7	the	the	DET
ajase-5500	238	8	alternating	alternate	VERB
ajase-5500	238	9	direction	direction	NOUN
ajase-5500	238	10	method	method	NOUN
ajase-5500	238	11	of	of	ADP
ajase-5500	238	12	multipliers	multiplier	NOUN
ajase-5500	238	13	.	.	PUNCT
ajase-5500	239	1	foundations	foundation	NOUN
ajase-5500	239	2	and	and	CCONJ
ajase-5500	239	3	trends	trend	NOUN
ajase-5500	239	4	in	in	ADP
ajase-5500	239	5	machine	machine	NOUN
ajase-5500	239	6	learning	learning	NOUN
ajase-5500	239	7	,	,	PUNCT
ajase-5500	239	8	3(1	3(1	NUM
ajase-5500	239	9	)	)	PUNCT
ajase-5500	239	10	,	,	PUNCT
ajase-5500	239	11	1–122	1–122	NUM
ajase-5500	239	12	.	.	PUNCT
ajase-5500	240	1	cristóbal	cristóbal	PROPN
ajase-5500	240	2	,	,	PUNCT
ajase-5500	240	3	j.	j.	PROPN
ajase-5500	240	4	,	,	PUNCT
ajase-5500	240	5	ninyerola	ninyerola	PROPN
ajase-5500	240	6	,	,	PUNCT
ajase-5500	240	7	m.	m.	NOUN
ajase-5500	240	8	,	,	PUNCT
ajase-5500	240	9	&	&	CCONJ
ajase-5500	240	10	pons	pon	NOUN
ajase-5500	240	11	,	,	PUNCT
ajase-5500	240	12	x.	x.	NOUN
ajase-5500	240	13	(	(	PUNCT
ajase-5500	240	14	2008	2008	NUM
ajase-5500	240	15	)	)	PUNCT
ajase-5500	240	16	.	.	PUNCT
ajase-5500	241	1	modeling	model	VERB
ajase-5500	241	2	air	air	NOUN
ajase-5500	241	3	temperature	temperature	NOUN
ajase-5500	241	4	through	through	ADP
ajase-5500	241	5	a	a	DET
ajase-5500	241	6	combination	combination	NOUN
ajase-5500	241	7	of	of	ADP
ajase-5500	241	8	remote	remote	ADJ
ajase-5500	241	9	sensing	sensing	NOUN
ajase-5500	241	10	and	and	CCONJ
ajase-5500	241	11	gis	gis	PROPN
ajase-5500	241	12	data	datum	NOUN
ajase-5500	241	13	.	.	PUNCT
ajase-5500	242	1	journal	journal	NOUN
ajase-5500	242	2	of	of	ADP
ajase-5500	242	3	geophysical	geophysical	ADJ
ajase-5500	242	4	research	research	NOUN
ajase-5500	242	5	:	:	PUNCT
ajase-5500	242	6	atmospheres	atmosphere	NOUN
ajase-5500	242	7	,	,	PUNCT
ajase-5500	242	8	113	113	NUM
ajase-5500	242	9	.	.	PUNCT
ajase-5500	243	1	https://doi	https://doi	PROPN
ajase-5500	243	2	.	.	PROPN
ajase-5500	243	3	org/10.1029/2007jd009318	org/10.1029/2007jd009318	PROPN
ajase-5500	243	4	de	de	X
ajase-5500	243	5	livera	livera	NOUN
ajase-5500	243	6	,	,	PUNCT
ajase-5500	243	7	a.	a.	NOUN
ajase-5500	243	8	m.	m.	NOUN
ajase-5500	243	9	,	,	PUNCT
ajase-5500	243	10	hyndman	hyndman	NOUN
ajase-5500	243	11	,	,	PUNCT
ajase-5500	243	12	r.	r.	PROPN
ajase-5500	243	13	j.	j.	PROPN
ajase-5500	243	14	,	,	PUNCT
ajase-5500	243	15	&	&	CCONJ
ajase-5500	243	16	snyder	snyder	PROPN
ajase-5500	243	17	,	,	PUNCT
ajase-5500	243	18	r.	r.	PROPN
ajase-5500	243	19	d.	d.	PROPN
ajase-5500	243	20	(	(	PUNCT
ajase-5500	243	21	2011	2011	NUM
ajase-5500	243	22	)	)	PUNCT
ajase-5500	243	23	.	.	PUNCT
ajase-5500	244	1	forecasting	forecasting	NOUN
ajase-5500	244	2	time	time	NOUN
ajase-5500	244	3	series	series	PROPN
ajase-5500	244	4	with	with	ADP
ajase-5500	244	5	complex	complex	ADJ
ajase-5500	244	6	seasonality	seasonality	NOUN
ajase-5500	244	7	using	use	VERB
ajase-5500	244	8	exponential	exponential	ADJ
ajase-5500	244	9	smoothing	smoothing	NOUN
ajase-5500	244	10	models	model	NOUN
ajase-5500	244	11	.	.	PUNCT
ajase-5500	245	1	journal	journal	NOUN
ajase-5500	245	2	of	of	ADP
ajase-5500	245	3	the	the	DET
ajase-5500	245	4	american	american	PROPN
ajase-5500	245	5	statistical	statistical	PROPN
ajase-5500	245	6	association	association	NOUN
ajase-5500	245	7	,	,	PUNCT
ajase-5500	245	8	106	106	NUM
ajase-5500	245	9	.	.	PUNCT
ajase-5500	246	1	dempster	dempster	PROPN
ajase-5500	246	2	,	,	PUNCT
ajase-5500	246	3	a.	a.	NOUN
ajase-5500	246	4	p.	p.	PROPN
ajase-5500	246	5	,	,	PUNCT
ajase-5500	246	6	laird	laird	PROPN
ajase-5500	246	7	,	,	PUNCT
ajase-5500	246	8	n.	n.	PROPN
ajase-5500	246	9	m.	m.	NOUN
ajase-5500	246	10	,	,	PUNCT
ajase-5500	246	11	&	&	CCONJ
ajase-5500	246	12	rubin	rubin	PROPN
ajase-5500	246	13	,	,	PUNCT
ajase-5500	246	14	d.	d.	PROPN
ajase-5500	246	15	b.	b.	PROPN
ajase-5500	246	16	(	(	PUNCT
ajase-5500	246	17	1977	1977	NUM
ajase-5500	246	18	)	)	PUNCT
ajase-5500	246	19	.	.	PUNCT
ajase-5500	247	1	maximum	maximum	ADJ
ajase-5500	247	2	likelihood	likelihood	NOUN
ajase-5500	247	3	from	from	ADP
ajase-5500	247	4	incomplete	incomplete	ADJ
ajase-5500	247	5	data	datum	NOUN
ajase-5500	247	6	via	via	ADP
ajase-5500	247	7	the	the	DET
ajase-5500	247	8	em	em	PROPN
ajase-5500	247	9	algorithm	algorithm	NOUN
ajase-5500	247	10	.	.	PUNCT
ajase-5500	248	1	journal	journal	NOUN
ajase-5500	248	2	of	of	ADP
ajase-5500	248	3	the	the	DET
ajase-5500	248	4	royal	royal	ADJ
ajase-5500	248	5	statistical	statistical	ADJ
ajase-5500	248	6	society	society	NOUN
ajase-5500	248	7	:	:	PUNCT
ajase-5500	248	8	series	series	PROPN
ajase-5500	248	9	b	b	PROPN
ajase-5500	248	10	(	(	PUNCT
ajase-5500	248	11	methodological	methodological	ADJ
ajase-5500	248	12	)	)	PUNCT
ajase-5500	248	13	,	,	PUNCT
ajase-5500	248	14	39(1	39(1	NUM
ajase-5500	248	15	)	)	PUNCT
ajase-5500	248	16	,	,	PUNCT
ajase-5500	248	17	1–22	1–22	PROPN
ajase-5500	248	18	.	.	PUNCT
ajase-5500	249	1	diebold	diebold	PROPN
ajase-5500	249	2	,	,	PUNCT
ajase-5500	249	3	f.	f.	PROPN
ajase-5500	249	4	x.	x.	PROPN
ajase-5500	249	5	,	,	PUNCT
ajase-5500	249	6	&	&	CCONJ
ajase-5500	249	7	mariano	mariano	PROPN
ajase-5500	249	8	,	,	PUNCT
ajase-5500	249	9	r.	r.	PROPN
ajase-5500	249	10	(	(	PUNCT
ajase-5500	249	11	2002	2002	NUM
ajase-5500	249	12	)	)	PUNCT
ajase-5500	249	13	.	.	PUNCT
ajase-5500	250	1	comparing	compare	VERB
ajase-5500	250	2	predictive	predictive	ADJ
ajase-5500	250	3	accuracy	accuracy	NOUN
ajase-5500	250	4	of	of	ADP
ajase-5500	250	5	time	time	NOUN
ajase-5500	250	6	series	series	NOUN
ajase-5500	250	7	models	model	NOUN
ajase-5500	250	8	for	for	ADP
ajase-5500	250	9	weather	weather	NOUN
ajase-5500	250	10	variables	variable	NOUN
ajase-5500	250	11	.	.	PUNCT
ajase-5500	251	1	journal	journal	NOUN
ajase-5500	251	2	of	of	ADP
ajase-5500	251	3	business	business	PROPN
ajase-5500	251	4	&	&	CCONJ
ajase-5500	251	5	economic	economic	ADJ
ajase-5500	251	6	statistics	statistic	NOUN
ajase-5500	251	7	.	.	PUNCT
ajase-5500	252	1	fan	fan	PROPN
ajase-5500	252	2	,	,	PUNCT
ajase-5500	252	3	j.	j.	PROPN
ajase-5500	252	4	,	,	PUNCT
ajase-5500	252	5	&	&	CCONJ
ajase-5500	252	6	tang	tang	PROPN
ajase-5500	252	7	,	,	PUNCT
ajase-5500	252	8	r.	r.	PROPN
ajase-5500	252	9	(	(	PUNCT
ajase-5500	252	10	2013	2013	NUM
ajase-5500	252	11	)	)	PUNCT
ajase-5500	252	12	.	.	PUNCT
ajase-5500	253	1	tuning	tune	VERB
ajase-5500	253	2	parameter	parameter	NOUN
ajase-5500	253	3	selection	selection	NOUN
ajase-5500	253	4	in	in	ADP
ajase-5500	253	5	high	high	ADJ
ajase-5500	253	6	dimensional	dimensional	ADJ
ajase-5500	253	7	penalized	penalize	VERB
ajase-5500	253	8	likelihood	likelihood	NOUN
ajase-5500	253	9	.	.	PUNCT
ajase-5500	254	1	journal	journal	NOUN
ajase-5500	254	2	of	of	ADP
ajase-5500	254	3	the	the	DET
ajase-5500	254	4	royal	royal	ADJ
ajase-5500	254	5	statistical	statistical	ADJ
ajase-5500	254	6	society	society	NOUN
ajase-5500	254	7	:	:	PUNCT
ajase-5500	254	8	series	series	PROPN
ajase-5500	254	9	b	b	PROPN
ajase-5500	254	10	(	(	PUNCT
ajase-5500	254	11	statistical	statistical	ADJ
ajase-5500	254	12	methodology	methodology	NOUN
ajase-5500	254	13	)	)	PUNCT
ajase-5500	254	14	,	,	PUNCT
ajase-5500	254	15	75(3	75(3	NUM
ajase-5500	254	16	)	)	PUNCT
ajase-5500	254	17	,	,	PUNCT
ajase-5500	254	18	531–552	531–552	NUM
ajase-5500	254	19	.	.	PUNCT
ajase-5500	255	1	forni	forni	PROPN
ajase-5500	255	2	,	,	PUNCT
ajase-5500	255	3	m.	m.	NOUN
ajase-5500	255	4	,	,	PUNCT
ajase-5500	255	5	hallin	hallin	PROPN
ajase-5500	255	6	,	,	PUNCT
ajase-5500	255	7	m.	m.	NOUN
ajase-5500	255	8	,	,	PUNCT
ajase-5500	255	9	lippi	lippi	PROPN
ajase-5500	255	10	,	,	PUNCT
ajase-5500	255	11	m.	m.	NOUN
ajase-5500	255	12	,	,	PUNCT
ajase-5500	255	13	&	&	CCONJ
ajase-5500	255	14	reichlin	reichlin	PROPN
ajase-5500	255	15	,	,	PUNCT
ajase-5500	255	16	l.	l.	PROPN
ajase-5500	255	17	(	(	PUNCT
ajase-5500	255	18	2000	2000	NUM
ajase-5500	255	19	)	)	PUNCT
ajase-5500	255	20	.	.	PUNCT
ajase-5500	256	1	the	the	DET
ajase-5500	256	2	generalized	generalized	ADJ
ajase-5500	256	3	dynamic	dynamic	ADJ
ajase-5500	256	4	factor	factor	NOUN
ajase-5500	256	5	model	model	NOUN
ajase-5500	256	6	:	:	PUNCT
ajase-5500	256	7	identification	identification	NOUN
ajase-5500	256	8	and	and	CCONJ
ajase-5500	256	9	estimation	estimation	NOUN
ajase-5500	256	10	.	.	PUNCT
ajase-5500	257	1	review	review	NOUN
ajase-5500	257	2	of	of	ADP
ajase-5500	257	3	economics	economic	NOUN
ajase-5500	257	4	and	and	CCONJ
ajase-5500	257	5	statistics	statistic	NOUN
ajase-5500	257	6	,	,	PUNCT
ajase-5500	257	7	82	82	NUM
ajase-5500	257	8	,	,	PUNCT
ajase-5500	257	9	540–554	540–554	NUM
ajase-5500	257	10	.	.	PUNCT
ajase-5500	258	1	forni	forni	PROPN
ajase-5500	258	2	,	,	PUNCT
ajase-5500	258	3	m.	m.	NOUN
ajase-5500	258	4	,	,	PUNCT
ajase-5500	258	5	hallin	hallin	PROPN
ajase-5500	258	6	,	,	PUNCT
ajase-5500	258	7	m.	m.	NOUN
ajase-5500	258	8	,	,	PUNCT
ajase-5500	258	9	lippi	lippi	PROPN
ajase-5500	258	10	,	,	PUNCT
ajase-5500	258	11	m.	m.	NOUN
ajase-5500	258	12	,	,	PUNCT
ajase-5500	258	13	&	&	CCONJ
ajase-5500	258	14	reichlin	reichlin	PROPN
ajase-5500	258	15	,	,	PUNCT
ajase-5500	258	16	l.	l.	PROPN
ajase-5500	258	17	(	(	PUNCT
ajase-5500	258	18	2001	2001	NUM
ajase-5500	258	19	)	)	PUNCT
ajase-5500	258	20	.	.	PUNCT
ajase-5500	259	1	coincident	coincident	ADJ
ajase-5500	259	2	and	and	CCONJ
ajase-5500	259	3	leading	leading	ADJ
ajase-5500	259	4	indicators	indicator	NOUN
ajase-5500	259	5	for	for	ADP
ajase-5500	259	6	the	the	DET
ajase-5500	259	7	euro	euro	PROPN
ajase-5500	259	8	area	area	NOUN
ajase-5500	259	9	.	.	PUNCT
ajase-5500	260	1	the	the	DET
ajase-5500	260	2	economic	economic	ADJ
ajase-5500	260	3	journal	journal	NOUN
ajase-5500	260	4	,	,	PUNCT
ajase-5500	260	5	111	111	NUM
ajase-5500	260	6	,	,	PUNCT
ajase-5500	260	7	c62	c62	NOUN
ajase-5500	260	8	–	–	PUNCT
ajase-5500	260	9	c85	c85	NOUN
ajase-5500	260	10	.	.	PUNCT
ajase-5500	260	11	gultepe	gultepe	PROPN
ajase-5500	260	12	,	,	PUNCT
ajase-5500	260	13	i.	i.	PROPN
ajase-5500	260	14	(	(	PUNCT
ajase-5500	260	15	2019	2019	NUM
ajase-5500	260	16	)	)	PUNCT
ajase-5500	260	17	.	.	PUNCT
ajase-5500	261	1	aviation	aviation	NOUN
ajase-5500	261	2	applications	application	NOUN
ajase-5500	261	3	of	of	ADP
ajase-5500	261	4	climate	climate	NOUN
ajase-5500	261	5	forecasts	forecast	NOUN
ajase-5500	261	6	:	:	PUNCT
ajase-5500	261	7	a	a	DET
ajase-5500	261	8	review	review	NOUN
ajase-5500	261	9	.	.	PUNCT
ajase-5500	262	1	aviation	aviation	NOUN
ajase-5500	262	2	meteorology	meteorology	NOUN
ajase-5500	262	3	,	,	PUNCT
ajase-5500	262	4	201	201	NUM
ajase-5500	262	5	.	.	PUNCT
ajase-5500	263	1	han	han	PROPN
ajase-5500	263	2	,	,	PUNCT
ajase-5500	263	3	z.	z.	PROPN
ajase-5500	263	4	,	,	PUNCT
ajase-5500	263	5	liu	liu	PROPN
ajase-5500	263	6	,	,	PUNCT
ajase-5500	263	7	y.	y.	PROPN
ajase-5500	263	8	,	,	PUNCT
ajase-5500	263	9	zhao	zhao	PROPN
ajase-5500	263	10	,	,	PUNCT
ajase-5500	263	11	j.	j.	PROPN
ajase-5500	263	12	,	,	PUNCT
ajase-5500	263	13	&	&	CCONJ
ajase-5500	263	14	wang	wang	PROPN
ajase-5500	263	15	,	,	PUNCT
ajase-5500	263	16	w.	w.	PROPN
ajase-5500	263	17	(	(	PUNCT
ajase-5500	263	18	2012	2012	NUM
ajase-5500	263	19	)	)	PUNCT
ajase-5500	263	20	.	.	PUNCT
ajase-5500	264	1	real	real	ADJ
ajase-5500	264	2	-	-	PUNCT
ajase-5500	264	3	time	time	NOUN
ajase-5500	264	4	prediction	prediction	NOUN
ajase-5500	264	5	for	for	ADP
ajase-5500	264	6	converter	converter	NOUN
ajase-5500	264	7	gas	gas	NOUN
ajase-5500	264	8	tank	tank	NOUN
ajase-5500	264	9	levels	level	NOUN
ajase-5500	264	10	based	base	VERB
ajase-5500	264	11	on	on	ADP
ajase-5500	264	12	multi	multi	ADJ
ajase-5500	264	13	-	-	ADJ
ajase-5500	264	14	output	output	ADJ
ajase-5500	264	15	least	least	ADJ
ajase-5500	264	16	square	square	ADJ
ajase-5500	264	17	support	support	NOUN
ajase-5500	264	18	vector	vector	NOUN
ajase-5500	264	19	regressor	regressor	NOUN
ajase-5500	264	20	.	.	PUNCT
ajase-5500	265	1	control	control	NOUN
ajase-5500	265	2	engineering	engineering	NOUN
ajase-5500	265	3	practice	practice	NOUN
ajase-5500	265	4	,	,	PUNCT
ajase-5500	265	5	20	20	NUM
ajase-5500	265	6	,	,	PUNCT
ajase-5500	265	7	1400–1409	1400–1409	NUM
ajase-5500	265	8	.	.	PUNCT
ajase-5500	266	1	harvey	harvey	PROPN
ajase-5500	266	2	,	,	PUNCT
ajase-5500	266	3	a.	a.	PROPN
ajase-5500	266	4	c.	c.	PROPN
ajase-5500	266	5	,	,	PUNCT
ajase-5500	266	6	&	&	CCONJ
ajase-5500	266	7	peters	peters	PROPN
ajase-5500	266	8	,	,	PUNCT
ajase-5500	266	9	s.	s.	PROPN
ajase-5500	266	10	(	(	PUNCT
ajase-5500	266	11	1990	1990	NUM
ajase-5500	266	12	)	)	PUNCT
ajase-5500	266	13	.	.	PUNCT
ajase-5500	267	1	estimation	estimation	NOUN
ajase-5500	267	2	and	and	CCONJ
ajase-5500	267	3	inference	inference	NOUN
ajase-5500	267	4	in	in	ADP
ajase-5500	267	5	time	time	NOUN
ajase-5500	267	6	series	series	NOUN
ajase-5500	267	7	models	model	NOUN
ajase-5500	267	8	for	for	ADP
ajase-5500	267	9	climate	climate	NOUN
ajase-5500	267	10	data	datum	NOUN
ajase-5500	267	11	.	.	PUNCT
ajase-5500	268	1	journal	journal	PROPN
ajase-5500	268	2	of	of	ADP
ajase-5500	268	3	climate	climate	NOUN
ajase-5500	268	4	dynamics	dynamic	NOUN
ajase-5500	268	5	,	,	PUNCT
ajase-5500	268	6	40	40	NUM
ajase-5500	268	7	.	.	PUNCT
ajase-5500	269	1	huang	huang	PROPN
ajase-5500	269	2	,	,	PUNCT
ajase-5500	269	3	n.	n.	PROPN
ajase-5500	269	4	e.	e.	PROPN
ajase-5500	269	5	,	,	PUNCT
ajase-5500	269	6	shen	shen	PROPN
ajase-5500	269	7	,	,	PUNCT
ajase-5500	269	8	z.	z.	PROPN
ajase-5500	269	9	,	,	PUNCT
ajase-5500	269	10	long	long	ADV
ajase-5500	269	11	,	,	PUNCT
ajase-5500	269	12	s.	s.	PROPN
ajase-5500	269	13	r.	r.	PROPN
ajase-5500	269	14	,	,	PUNCT
ajase-5500	269	15	wu	wu	PROPN
ajase-5500	269	16	,	,	PUNCT
ajase-5500	269	17	m.	m.	PROPN
ajase-5500	269	18	c.	c.	PROPN
ajase-5500	269	19	,	,	PUNCT
ajase-5500	269	20	shih	shih	PROPN
ajase-5500	269	21	,	,	PUNCT
ajase-5500	269	22	h.	h.	PROPN
ajase-5500	269	23	h.	h.	PROPN
ajase-5500	269	24	,	,	PUNCT
ajase-5500	269	25	zheng	zheng	PROPN
ajase-5500	269	26	,	,	PUNCT
ajase-5500	269	27	q.	q.	PROPN
ajase-5500	269	28	,	,	PUNCT
ajase-5500	269	29	yen	yen	NOUN
ajase-5500	269	30	,	,	PUNCT
ajase-5500	269	31	n.	n.	NOUN
ajase-5500	269	32	,	,	PUNCT
ajase-5500	269	33	tung	tung	PROPN
ajase-5500	269	34	,	,	PUNCT
ajase-5500	269	35	c.	c.	PROPN
ajase-5500	269	36	c.	c.	PROPN
ajase-5500	269	37	,	,	PUNCT
ajase-5500	269	38	&	&	CCONJ
ajase-5500	269	39	liu	liu	PROPN
ajase-5500	269	40	,	,	PUNCT
ajase-5500	269	41	h.	h.	PROPN
ajase-5500	269	42	h.	h.	PROPN
ajase-5500	269	43	(	(	PUNCT
ajase-5500	269	44	1998	1998	NUM
ajase-5500	269	45	)	)	PUNCT
ajase-5500	269	46	.	.	PUNCT
ajase-5500	270	1	the	the	DET
ajase-5500	270	2	empirical	empirical	ADJ
ajase-5500	270	3	mode	mode	NOUN
ajase-5500	270	4	decomposition	decomposition	NOUN
ajase-5500	270	5	and	and	CCONJ
ajase-5500	270	6	the	the	DET
ajase-5500	270	7	hilbert	hilbert	NOUN
ajase-5500	270	8	spectrum	spectrum	NOUN
ajase-5500	270	9	for	for	ADP
ajase-5500	270	10	nonlinear	nonlinear	ADJ
ajase-5500	270	11	and	and	CCONJ
ajase-5500	270	12	non	non	ADJ
ajase-5500	270	13	-	-	ADJ
ajase-5500	270	14	stationary	stationary	ADJ
ajase-5500	270	15	time	time	NOUN
ajase-5500	270	16	series	series	PROPN
ajase-5500	270	17	analysis	analysis	NOUN
ajase-5500	270	18	.	.	PUNCT
ajase-5500	271	1	proceedings	proceeding	NOUN
ajase-5500	271	2	of	of	ADP
ajase-5500	271	3	the	the	DET
ajase-5500	271	4	royal	royal	ADJ
ajase-5500	271	5	society	society	NOUN
ajase-5500	271	6	of	of	ADP
ajase-5500	271	7	london	london	PROPN
ajase-5500	271	8	.	.	PUNCT
ajase-5500	272	1	series	series	PROPN
ajase-5500	272	2	a	a	PRON
ajase-5500	272	3	:	:	PUNCT
ajase-5500	272	4	mathematical	mathematical	ADJ
ajase-5500	272	5	,	,	PUNCT
ajase-5500	272	6	physical	physical	ADJ
ajase-5500	272	7	and	and	CCONJ
ajase-5500	272	8	engineering	engineering	NOUN
ajase-5500	272	9	sciences	science	NOUN
ajase-5500	272	10	,	,	PUNCT
ajase-5500	272	11	454	454	NUM
ajase-5500	272	12	,	,	PUNCT
ajase-5500	272	13	903–995	903–995	NUM
ajase-5500	272	14	.	.	PUNCT
ajase-5500	273	1	https://doi	https://doi	X
ajase-5500	273	2	.	.	PUNCT
ajase-5500	274	1	org/10.1098	org/10.1098	PROPN
ajase-5500	274	2	/	/	SYM
ajase-5500	274	3	rspa.1998.0193	rspa.1998.0193	PROPN
ajase-5500	274	4	huang	huang	PROPN
ajase-5500	274	5	,	,	PUNCT
ajase-5500	274	6	y.	y.	PROPN
ajase-5500	274	7	(	(	PUNCT
ajase-5500	274	8	2021	2021	NUM
ajase-5500	274	9	)	)	PUNCT
ajase-5500	274	10	.	.	PUNCT
ajase-5500	275	1	hilbert	hilbert	PROPN
ajase-5500	275	2	-	-	PUNCT
ajase-5500	275	3	huang	huang	PROPN
ajase-5500	275	4	transform	transform	NOUN
ajase-5500	275	5	for	for	ADP
ajase-5500	275	6	climate	climate	NOUN
ajase-5500	275	7	time	time	NOUN
ajase-5500	275	8	series	series	PROPN
ajase-5500	275	9	forecasting	forecasting	PROPN
ajase-5500	275	10	.	.	PUNCT
ajase-5500	276	1	journal	journal	NOUN
ajase-5500	276	2	of	of	ADP
ajase-5500	276	3	atmospheric	atmospheric	ADJ
ajase-5500	276	4	research	research	NOUN
ajase-5500	276	5	,	,	PUNCT
ajase-5500	276	6	98	98	NUM
ajase-5500	276	7	.	.	PUNCT
ajase-5500	277	1	ismail	ismail	PROPN
ajase-5500	277	2	,	,	PUNCT
ajase-5500	277	3	a.	a.	PROPN
ajase-5500	277	4	,	,	PUNCT
ajase-5500	277	5	&	&	CCONJ
ajase-5500	277	6	oke	oke	PROPN
ajase-5500	277	7	,	,	PUNCT
ajase-5500	277	8	i.	i.	PROPN
ajase-5500	277	9	a.	a.	PROPN
ajase-5500	277	10	(	(	PUNCT
ajase-5500	277	11	2012	2012	NUM
ajase-5500	277	12	)	)	PUNCT
ajase-5500	277	13	.	.	PUNCT
ajase-5500	278	1	trend	trend	NOUN
ajase-5500	278	2	analysis	analysis	NOUN
ajase-5500	278	3	of	of	ADP
ajase-5500	278	4	precipitation	precipitation	NOUN
ajase-5500	278	5	in	in	ADP
ajase-5500	278	6	birnin	birnin	PROPN
ajase-5500	278	7	kebbi	kebbi	PROPN
ajase-5500	278	8	,	,	PUNCT
ajase-5500	278	9	nigeria	nigeria	PROPN
ajase-5500	278	10	.	.	PUNCT
ajase-5500	279	1	international	international	ADJ
ajase-5500	279	2	research	research	PROPN
ajase-5500	279	3	journal	journal	NOUN
ajase-5500	279	4	of	of	ADP
ajase-5500	279	5	agricultural	agricultural	ADJ
ajase-5500	279	6	science	science	NOUN
ajase-5500	279	7	and	and	CCONJ
ajase-5500	279	8	soil	soil	NOUN
ajase-5500	279	9	science	science	NOUN
ajase-5500	279	10	,	,	PUNCT
ajase-5500	279	11	2(7	2(7	NUM
ajase-5500	279	12	)	)	PUNCT
ajase-5500	279	13	,	,	PUNCT
ajase-5500	279	14	286–297	286–297	NUM
ajase-5500	279	15	.	.	PUNCT
ajase-5500	280	1	jokubaitis	jokubaitis	PROPN
ajase-5500	280	2	,	,	PUNCT
ajase-5500	280	3	s.	s.	PROPN
ajase-5500	280	4	,	,	PUNCT
ajase-5500	280	5	celov	celov	PROPN
ajase-5500	280	6	,	,	PUNCT
ajase-5500	280	7	d.	d.	PROPN
ajase-5500	280	8	,	,	PUNCT
ajase-5500	280	9	&	&	CCONJ
ajase-5500	280	10	leipus	leipus	PROPN
ajase-5500	280	11	,	,	PUNCT
ajase-5500	280	12	r.	r.	PROPN
ajase-5500	280	13	(	(	PUNCT
ajase-5500	280	14	2021	2021	NUM
ajase-5500	280	15	)	)	PUNCT
ajase-5500	280	16	.	.	PUNCT
ajase-5500	281	1	sparse	sparse	ADJ
ajase-5500	281	2	structures	structure	NOUN
ajase-5500	281	3	with	with	ADP
ajase-5500	281	4	lasso	lasso	NOUN
ajase-5500	281	5	through	through	ADP
ajase-5500	281	6	principal	principal	ADJ
ajase-5500	281	7	components	component	NOUN
ajase-5500	281	8	:	:	PUNCT
ajase-5500	281	9	forecasting	forecast	VERB
ajase-5500	281	10	gdp	gdp	NOUN
ajase-5500	281	11	components	component	NOUN
ajase-5500	281	12	in	in	ADP
ajase-5500	281	13	the	the	DET
ajase-5500	281	14	short	short	ADJ
ajase-5500	281	15	-	-	PUNCT
ajase-5500	281	16	run	run	NOUN
ajase-5500	281	17	.	.	PUNCT
ajase-5500	282	1	international	international	ADJ
ajase-5500	282	2	journal	journal	PROPN
ajase-5500	282	3	of	of	ADP
ajase-5500	282	4	forecasting	forecasting	NOUN
ajase-5500	282	5	,	,	PUNCT
ajase-5500	282	6	37(2	37(2	PROPN
ajase-5500	282	7	)	)	PUNCT
ajase-5500	282	8	,	,	PUNCT
ajase-5500	282	9	759–776	759–776	NUM
ajase-5500	282	10	.	.	PUNCT
ajase-5500	283	1	https://doi.org/10.1016/j.ijforecast.2020.09.005	https://doi.org/10.1016/j.ijforecast.2020.09.005	NUM
ajase-5500	283	2	jungbacker	jungbacker	NOUN
ajase-5500	283	3	,	,	PUNCT
ajase-5500	283	4	b.	b.	PROPN
ajase-5500	283	5	,	,	PUNCT
ajase-5500	283	6	&	&	CCONJ
ajase-5500	283	7	koopman	koopman	PROPN
ajase-5500	283	8	,	,	PUNCT
ajase-5500	283	9	s.	s.	PROPN
ajase-5500	283	10	j.	j.	PROPN
ajase-5500	283	11	(	(	PUNCT
ajase-5500	283	12	2015	2015	NUM
ajase-5500	283	13	)	)	PUNCT
ajase-5500	283	14	.	.	PUNCT
ajase-5500	284	1	likelihoodbased	likelihoodbase	VERB
ajase-5500	284	2	dynamic	dynamic	ADJ
ajase-5500	284	3	factor	factor	NOUN
ajase-5500	284	4	analysis	analysis	NOUN
ajase-5500	284	5	for	for	ADP
ajase-5500	284	6	measurement	measurement	NOUN
ajase-5500	284	7	and	and	CCONJ
ajase-5500	284	8	forecasting	forecasting	NOUN
ajase-5500	284	9	.	.	PUNCT
ajase-5500	285	1	the	the	DET
ajase-5500	285	2	econometrics	econometrics	NOUN
ajase-5500	285	3	journal	journal	NOUN
ajase-5500	285	4	,	,	PUNCT
ajase-5500	285	5	18(1	18(1	NUM
ajase-5500	285	6	)	)	PUNCT
ajase-5500	285	7	,	,	PUNCT
ajase-5500	285	8	c1	c1	PROPN
ajase-5500	285	9	–	–	PUNCT
ajase-5500	285	10	c21	c21	PROPN
ajase-5500	285	11	.	.	PUNCT
ajase-5500	285	12	kajtar	kajtar	PROPN
ajase-5500	285	13	,	,	PUNCT
ajase-5500	285	14	j.	j.	PROPN
ajase-5500	285	15	b.	b.	PROPN
ajase-5500	285	16	,	,	PUNCT
ajase-5500	285	17	santoso	santoso	PROPN
ajase-5500	285	18	,	,	PUNCT
ajase-5500	285	19	a.	a.	PROPN
ajase-5500	285	20	,	,	PUNCT
ajase-5500	285	21	collins	collins	PROPN
ajase-5500	285	22	,	,	PUNCT
ajase-5500	285	23	m.	m.	NOUN
ajase-5500	285	24	,	,	PUNCT
ajase-5500	285	25	taschetto	taschetto	NOUN
ajase-5500	285	26	,	,	PUNCT
ajase-5500	285	27	a.	a.	PROPN
ajase-5500	285	28	s.	s.	PROPN
ajase-5500	285	29	,	,	PUNCT
ajase-5500	285	30	england	england	PROPN
ajase-5500	285	31	,	,	PUNCT
ajase-5500	285	32	m.	m.	PROPN
ajase-5500	285	33	h.	h.	PROPN
ajase-5500	285	34	,	,	PUNCT
ajase-5500	285	35	&	&	CCONJ
ajase-5500	285	36	frankcombe	frankcombe	PROPN
ajase-5500	285	37	,	,	PUNCT
ajase-5500	285	38	l.	l.	PROPN
ajase-5500	285	39	m.	m.	PROPN
ajase-5500	285	40	(	(	PUNCT
ajase-5500	285	41	2021	2021	NUM
ajase-5500	285	42	)	)	PUNCT
ajase-5500	285	43	.	.	PUNCT
ajase-5500	286	1	cmip5	cmip5	ADJ
ajase-5500	286	2	intermodel	intermodel	NOUN
ajase-5500	286	3	relationships	relationship	NOUN
ajase-5500	286	4	in	in	ADP
ajase-5500	286	5	the	the	DET
ajase-5500	286	6	baseline	baseline	ADJ
ajase-5500	286	7	southern	southern	ADJ
ajase-5500	286	8	ocean	ocean	NOUN
ajase-5500	286	9	climate	climate	NOUN
ajase-5500	286	10	system	system	NOUN
ajase-5500	286	11	and	and	CCONJ
ajase-5500	286	12	with	with	ADP
ajase-5500	286	13	future	future	ADJ
ajase-5500	286	14	projections	projection	NOUN
ajase-5500	286	15	.	.	PUNCT
ajase-5500	287	1	earth	earth	NOUN
ajase-5500	287	2	’s	’s	PART
ajase-5500	287	3	future	future	NOUN
ajase-5500	287	4	,	,	PUNCT
ajase-5500	287	5	9(6	9(6	NUM
ajase-5500	287	6	)	)	PUNCT
ajase-5500	287	7	,	,	PUNCT
ajase-5500	287	8	1–21	1–21	PROPN
ajase-5500	287	9	.	.	PUNCT
ajase-5500	288	1	https://doi	https://doi	PROPN
ajase-5500	288	2	.	.	PROPN
ajase-5500	288	3	org/10.1029/2020ef001873	org/10.1029/2020ef001873	PROPN
ajase-5500	288	4	khesali	khesali	PROPN
ajase-5500	288	5	,	,	PUNCT
ajase-5500	288	6	e.	e.	PROPN
ajase-5500	288	7	,	,	PUNCT
ajase-5500	288	8	&	&	CCONJ
ajase-5500	288	9	mobasheri	mobasheri	PROPN
ajase-5500	288	10	,	,	PUNCT
ajase-5500	288	11	m.	m.	PROPN
ajase-5500	288	12	r.	r.	PROPN
ajase-5500	288	13	(	(	PUNCT
ajase-5500	288	14	2023	2023	NUM
ajase-5500	288	15	)	)	PUNCT
ajase-5500	288	16	.	.	PUNCT
ajase-5500	289	1	near	near	ADP
ajase-5500	289	2	surface	surface	PROPN
ajase-5500	289	3	air	air	NOUN
ajase-5500	289	4	temperature	temperature	NOUN
ajase-5500	289	5	estimation	estimation	NOUN
ajase-5500	289	6	through	through	ADP
ajase-5500	289	7	parametrization	parametrization	NOUN
ajase-5500	289	8	of	of	ADP
ajase-5500	289	9	modis	modis	PROPN
ajase-5500	289	10	products	product	NOUN
ajase-5500	289	11	.	.	PUNCT
ajase-5500	290	1	isprs	isprs	NOUN
ajase-5500	290	2	annals	annal	NOUN
ajase-5500	290	3	of	of	ADP
ajase-5500	290	4	the	the	DET
ajase-5500	290	5	photogrammetry	photogrammetry	NOUN
ajase-5500	290	6	,	,	PUNCT
ajase-5500	290	7	remote	remote	ADJ
ajase-5500	290	8	sensing	sensing	NOUN
ajase-5500	290	9	and	and	CCONJ
ajase-5500	290	10	spatial	spatial	ADJ
ajase-5500	290	11	information	information	NOUN
ajase-5500	290	12	sciences	science	NOUN
ajase-5500	290	13	,	,	PUNCT
ajase-5500	290	14	10	10	NUM
ajase-5500	290	15	.	.	PUNCT
ajase-5500	291	1	https://doi.org/10.5194/isprs-annals-x4-w1-2022-405-2023	https://doi.org/10.5194/isprs-annals-x4-w1-2022-405-2023	PROPN
ajase-5500	291	2	kipf	kipf	PROPN
ajase-5500	291	3	,	,	PUNCT
ajase-5500	291	4	t.	t.	PROPN
ajase-5500	291	5	n.	n.	PROPN
ajase-5500	291	6	,	,	PUNCT
ajase-5500	291	7	&	&	CCONJ
ajase-5500	291	8	welling	well	VERB
ajase-5500	291	9	,	,	PUNCT
ajase-5500	291	10	m.	m.	NOUN
ajase-5500	291	11	(	(	PUNCT
ajase-5500	291	12	2017	2017	NUM
ajase-5500	291	13	)	)	PUNCT
ajase-5500	291	14	.	.	PUNCT
ajase-5500	292	1	semi	semi	ADJ
ajase-5500	292	2	-	-	ADJ
ajase-5500	292	3	supervised	supervised	ADJ
ajase-5500	292	4	classification	classification	NOUN
ajase-5500	292	5	with	with	ADP
ajase-5500	292	6	graph	graph	NOUN
ajase-5500	292	7	convolutional	convolutional	ADJ
ajase-5500	292	8	networks	network	NOUN
ajase-5500	292	9	.	.	PUNCT
ajase-5500	293	1	proceedings	proceeding	NOUN
ajase-5500	293	2	of	of	ADP
ajase-5500	293	3	the	the	DET
ajase-5500	293	4	5th	5th	ADJ
ajase-5500	293	5	international	international	ADJ
ajase-5500	293	6	conference	conference	NOUN
ajase-5500	293	7	on	on	ADP
ajase-5500	293	8	learning	learn	VERB
ajase-5500	293	9	representations	representation	NOUN
ajase-5500	293	10	.	.	PUNCT
ajase-5500	294	1	knight	knight	NOUN
ajase-5500	294	2	,	,	PUNCT
ajase-5500	294	3	k.	k.	PROPN
ajase-5500	294	4	,	,	PUNCT
ajase-5500	294	5	&	&	CCONJ
ajase-5500	294	6	fu	fu	PROPN
ajase-5500	294	7	,	,	PUNCT
ajase-5500	294	8	w.	w.	PROPN
ajase-5500	294	9	(	(	PUNCT
ajase-5500	294	10	2000	2000	NUM
ajase-5500	294	11	)	)	PUNCT
ajase-5500	294	12	.	.	PUNCT
ajase-5500	295	1	asymptotics	asymptotic	NOUN
ajase-5500	295	2	for	for	ADP
ajase-5500	295	3	lassotype	lassotype	NOUN
ajase-5500	295	4	estimators	estimator	NOUN
ajase-5500	295	5	.	.	PUNCT
ajase-5500	296	1	the	the	DET
ajase-5500	296	2	annals	annal	NOUN
ajase-5500	296	3	of	of	ADP
ajase-5500	296	4	statistics	statistic	NOUN
ajase-5500	296	5	,	,	PUNCT
ajase-5500	296	6	28(5	28(5	NUM
ajase-5500	296	7	)	)	PUNCT
ajase-5500	296	8	,	,	PUNCT
ajase-5500	296	9	1356	1356	NUM
ajase-5500	296	10	–	–	PUNCT
ajase-5500	296	11	1378	1378	NUM
ajase-5500	296	12	.	.	PUNCT
ajase-5500	297	1	liu	liu	PROPN
ajase-5500	297	2	,	,	PUNCT
ajase-5500	297	3	z.	z.	PROPN
ajase-5500	297	4	(	(	PUNCT
ajase-5500	297	5	2018	2018	NUM
ajase-5500	297	6	)	)	PUNCT
ajase-5500	297	7	.	.	PUNCT
ajase-5500	298	1	vector	vector	NOUN
ajase-5500	298	2	autoregressive	autoregressive	ADJ
ajase-5500	298	3	models	model	NOUN
ajase-5500	298	4	for	for	ADP
ajase-5500	298	5	climate	climate	NOUN
ajase-5500	298	6	time	time	NOUN
ajase-5500	298	7	series	series	PROPN
ajase-5500	298	8	forecasting	forecasting	PROPN
ajase-5500	298	9	.	.	PUNCT
ajase-5500	299	1	journal	journal	NOUN
ajase-5500	299	2	of	of	ADP
ajase-5500	299	3	atmospheric	atmospheric	ADJ
ajase-5500	299	4	science	science	NOUN
ajase-5500	299	5	.	.	PUNCT
ajase-5500	300	1	lucas	lucas	PROPN
ajase-5500	300	2	,	,	PUNCT
ajase-5500	300	3	j.	j.	PROPN
ajase-5500	300	4	,	,	PUNCT
ajase-5500	300	5	carvalho	carvalho	PROPN
ajase-5500	300	6	,	,	PUNCT
ajase-5500	300	7	c.	c.	PROPN
ajase-5500	300	8	,	,	PUNCT
ajase-5500	300	9	wang	wang	PROPN
ajase-5500	300	10	,	,	PUNCT
ajase-5500	300	11	q.	q.	PROPN
ajase-5500	300	12	,	,	PUNCT
ajase-5500	300	13	bild	bild	PROPN
ajase-5500	300	14	,	,	PUNCT
ajase-5500	300	15	a.	a.	PROPN
ajase-5500	300	16	,	,	PUNCT
ajase-5500	300	17	nevins	nevins	PROPN
ajase-5500	300	18	,	,	PUNCT
ajase-5500	300	19	j.	j.	PROPN
ajase-5500	300	20	,	,	PUNCT
ajase-5500	300	21	&	&	CCONJ
ajase-5500	300	22	west	west	PROPN
ajase-5500	300	23	,	,	PUNCT
ajase-5500	300	24	m.	m.	NOUN
ajase-5500	300	25	(	(	PUNCT
ajase-5500	300	26	2006	2006	NUM
ajase-5500	300	27	)	)	PUNCT
ajase-5500	300	28	.	.	PUNCT
ajase-5500	301	1	sparse	sparse	ADJ
ajase-5500	301	2	statistical	statistical	ADJ
ajase-5500	301	3	modelling	modelling	NOUN
ajase-5500	301	4	in	in	ADP
ajase-5500	301	5	gene	gene	NOUN
ajase-5500	301	6	expression	expression	NOUN
ajase-5500	301	7	genomics	genomic	NOUN
ajase-5500	301	8	.	.	PUNCT
ajase-5500	302	1	in	in	ADP
ajase-5500	302	2	k.	k.	PROPN
ajase-5500	302	3	a.	a.	PROPN
ajase-5500	302	4	do	do	PROPN
ajase-5500	302	5	,	,	PUNCT
ajase-5500	302	6	p.	p.	NOUN
ajase-5500	302	7	m.	m.	NOUN
ajase-5500	302	8	,	,	PUNCT
ajase-5500	302	9	&	&	CCONJ
ajase-5500	302	10	m.	m.	PROPN
ajase-5500	302	11	vannucci	vannucci	PROPN
ajase-5500	302	12	(	(	PUNCT
ajase-5500	302	13	eds	ed	NOUN
ajase-5500	302	14	.	.	PUNCT
ajase-5500	302	15	)	)	PUNCT
ajase-5500	302	16	,	,	PUNCT
ajase-5500	302	17	bayesian	bayesian	NOUN
ajase-5500	302	18	inference	inference	NOUN
ajase-5500	302	19	for	for	ADP
ajase-5500	302	20	gene	gene	NOUN
ajase-5500	302	21	expression	expression	NOUN
ajase-5500	302	22	and	and	CCONJ
ajase-5500	302	23	proteomics	proteomic	NOUN
ajase-5500	302	24	(	(	PUNCT
ajase-5500	302	25	pp	pp	ADJ
ajase-5500	302	26	.	.	PUNCT
ajase-5500	303	1	723–732	723–732	NUM
ajase-5500	303	2	)	)	PUNCT
ajase-5500	303	3	.	.	PUNCT
ajase-5500	304	1	cambridge	cambridge	PROPN
ajase-5500	304	2	university	university	PROPN
ajase-5500	304	3	press	press	NOUN
ajase-5500	304	4	.	.	PUNCT
ajase-5500	305	1	magnano	magnano	PROPN
ajase-5500	305	2	,	,	PUNCT
ajase-5500	305	3	b.	b.	PROPN
ajase-5500	305	4	(	(	PUNCT
ajase-5500	305	5	2008	2008	NUM
ajase-5500	305	6	)	)	PUNCT
ajase-5500	305	7	.	.	PUNCT
ajase-5500	306	1	generation	generation	NOUN
ajase-5500	306	2	of	of	ADP
ajase-5500	306	3	stochastic	stochastic	ADJ
ajase-5500	306	4	weather	weather	NOUN
ajase-5500	306	5	sequences	sequence	NOUN
ajase-5500	306	6	for	for	ADP
ajase-5500	306	7	climate	climate	NOUN
ajase-5500	306	8	impact	impact	NOUN
ajase-5500	306	9	assessments	assessment	NOUN
ajase-5500	306	10	.	.	PUNCT
ajase-5500	307	1	journal	journal	NOUN
ajase-5500	307	2	of	of	ADP
ajase-5500	307	3	climate	climate	NOUN
ajase-5500	307	4	,	,	PUNCT
ajase-5500	307	5	25	25	NUM
ajase-5500	307	6	.	.	PUNCT
ajase-5500	308	1	refsgaard	refsgaard	PROPN
ajase-5500	308	2	,	,	PUNCT
ajase-5500	308	3	j.	j.	PROPN
ajase-5500	308	4	c.	c.	PROPN
ajase-5500	308	5	,	,	PUNCT
ajase-5500	308	6	arnbjerg	arnbjerg	PROPN
ajase-5500	308	7	-	-	PUNCT
ajase-5500	308	8	nielsen	nielsen	PROPN
ajase-5500	308	9	,	,	PUNCT
ajase-5500	308	10	k.	k.	PROPN
ajase-5500	308	11	,	,	PUNCT
ajase-5500	308	12	&	&	CCONJ
ajase-5500	308	13	drews	drews	PROPN
ajase-5500	308	14	,	,	PUNCT
ajase-5500	308	15	m.	m.	NOUN
ajase-5500	308	16	(	(	PUNCT
ajase-5500	308	17	2013	2013	NUM
ajase-5500	308	18	)	)	PUNCT
ajase-5500	308	19	.	.	PUNCT
ajase-5500	309	1	the	the	DET
ajase-5500	309	2	role	role	NOUN
ajase-5500	309	3	of	of	ADP
ajase-5500	309	4	uncertainty	uncertainty	NOUN
ajase-5500	309	5	in	in	ADP
ajase-5500	309	6	climate	climate	NOUN
ajase-5500	309	7	change	change	NOUN
ajase-5500	309	8	adaptation	adaptation	NOUN
ajase-5500	309	9	strategies	strategy	NOUN
ajase-5500	309	10	:	:	PUNCT
ajase-5500	309	11	a	a	DET
ajase-5500	309	12	danish	danish	ADJ
ajase-5500	309	13	water	water	NOUN
ajase-5500	309	14	management	management	NOUN
ajase-5500	309	15	example	example	NOUN
ajase-5500	309	16	.	.	PUNCT
ajase-5500	310	1	mitigation	mitigation	NOUN
ajase-5500	310	2	and	and	CCONJ
ajase-5500	310	3	adaptation	adaptation	NOUN
ajase-5500	310	4	strategies	strategy	NOUN
ajase-5500	310	5	for	for	ADP
ajase-5500	310	6	global	global	ADJ
ajase-5500	310	7	change	change	NOUN
ajase-5500	310	8	,	,	PUNCT
ajase-5500	310	9	18	18	NUM
ajase-5500	310	10	,	,	PUNCT
ajase-5500	310	11	337–359	337–359	NUM
ajase-5500	310	12	.	.	PUNCT
ajase-5500	311	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
ajase-5500	311	2	s11027	s11027	PROPN
ajase-5500	311	3	-	-	PUNCT
ajase-5500	311	4	012	012	NUM
ajase-5500	311	5	-	-	PUNCT
ajase-5500	311	6	9366	9366	NUM
ajase-5500	311	7	-	-	SYM
ajase-5500	311	8	6	6	NUM
ajase-5500	311	9	modarres	modarre	NOUN
ajase-5500	311	10	,	,	PUNCT
ajase-5500	311	11	r.	r.	PROPN
ajase-5500	311	12	,	,	PUNCT
ajase-5500	311	13	&	&	CCONJ
ajase-5500	311	14	ouarda	ouarda	PROPN
ajase-5500	311	15	,	,	PUNCT
ajase-5500	311	16	t.	t.	PROPN
ajase-5500	311	17	(	(	PUNCT
ajase-5500	311	18	2013	2013	NUM
ajase-5500	311	19	)	)	PUNCT
ajase-5500	311	20	.	.	PUNCT
ajase-5500	312	1	heteroscedasticity	heteroscedasticity	NOUN
ajase-5500	312	2	in	in	ADP
ajase-5500	312	3	time	time	NOUN
ajase-5500	312	4	series	series	PROPN
ajase-5500	312	5	modeling	modeling	NOUN
ajase-5500	312	6	of	of	ADP
ajase-5500	312	7	climatic	climatic	ADJ
ajase-5500	312	8	variables	variable	NOUN
ajase-5500	312	9	.	.	PUNCT
ajase-5500	313	1	journal	journal	NOUN
ajase-5500	313	2	of	of	ADP
ajase-5500	313	3	hydrology	hydrology	NOUN
ajase-5500	313	4	.	.	PUNCT
ajase-5500	314	1	modarres	modarre	NOUN
ajase-5500	314	2	,	,	PUNCT
ajase-5500	314	3	r.	r.	PROPN
ajase-5500	314	4	,	,	PUNCT
ajase-5500	314	5	&	&	CCONJ
ajase-5500	314	6	ouarda	ouarda	PROPN
ajase-5500	314	7	,	,	PUNCT
ajase-5500	314	8	t.	t.	PROPN
ajase-5500	314	9	(	(	PUNCT
ajase-5500	314	10	2014	2014	NUM
ajase-5500	314	11	)	)	PUNCT
ajase-5500	314	12	.	.	PUNCT
ajase-5500	315	1	modeling	model	VERB
ajase-5500	315	2	heteroscedasticity	heteroscedasticity	NOUN
ajase-5500	315	3	in	in	ADP
ajase-5500	315	4	precipitation	precipitation	NOUN
ajase-5500	315	5	data	datum	NOUN
ajase-5500	315	6	using	use	VERB
ajase-5500	315	7	garch	garch	NOUN
ajase-5500	315	8	models	model	NOUN
ajase-5500	315	9	.	.	PUNCT
ajase-5500	316	1	journal	journal	NOUN
ajase-5500	316	2	of	of	ADP
ajase-5500	316	3	hydrology	hydrology	NOUN
ajase-5500	316	4	.	.	PUNCT
ajase-5500	317	1	mustapha	mustapha	PROPN
ajase-5500	317	2	,	,	PUNCT
ajase-5500	317	3	d.	d.	PROPN
ajase-5500	317	4	a.	a.	PROPN
ajase-5500	317	5	,	,	PUNCT
ajase-5500	317	6	adams	adams	PROPN
ajase-5500	317	7	,	,	PUNCT
ajase-5500	317	8	s.	s.	PROPN
ajase-5500	317	9	o.	o.	PROPN
ajase-5500	317	10	,	,	PUNCT
ajase-5500	317	11	&	&	CCONJ
ajase-5500	317	12	adehi	adehi	PROPN
ajase-5500	317	13	,	,	PUNCT
ajase-5500	317	14	m.	m.	NOUN
ajase-5500	317	15	u.	u.	PROPN
ajase-5500	317	16	(	(	PUNCT
ajase-5500	317	17	2025	2025	NUM
ajase-5500	317	18	)	)	PUNCT
ajase-5500	317	19	.	.	PUNCT
ajase-5500	318	1	dynamic	dynamic	ADJ
ajase-5500	318	2	time	time	NOUN
ajase-5500	318	3	series	series	NOUN
ajase-5500	318	4	models	model	NOUN
ajase-5500	318	5	for	for	ADP
ajase-5500	318	6	forecasting	forecast	VERB
ajase-5500	318	7	climatic	climatic	ADJ
ajase-5500	318	8	pa	pa	PROPN
ajase-5500	318	9	ge	ge	PROPN
ajase-5500	318	10	79	79	NUM
ajase-5500	319	1	https://journals.e-palli.com/home/index.php/ajase	https://journals.e-palli.com/home/index.php/ajase	PROPN
ajase-5500	319	2	am	be	AUX
ajase-5500	319	3	.	.	PUNCT
ajase-5500	320	1	j.	j.	PROPN
ajase-5500	320	2	appl	appl	PROPN
ajase-5500	320	3	.	.	PROPN
ajase-5500	321	1	stat	stat	PROPN
ajase-5500	321	2	.	.	PUNCT
ajase-5500	322	1	econ	econ	PROPN
ajase-5500	322	2	.	.	PUNCT
ajase-5500	323	1	4(1	4(1	X
ajase-5500	323	2	)	)	PUNCT
ajase-5500	324	1	70	70	NUM
ajase-5500	324	2	-	-	SYM
ajase-5500	324	3	79	79	NUM
ajase-5500	324	4	,	,	PUNCT
ajase-5500	324	5	2025	2025	NUM
ajase-5500	324	6	variables	variable	NOUN
ajase-5500	324	7	.	.	PUNCT
ajase-5500	325	1	journal	journal	NOUN
ajase-5500	325	2	of	of	ADP
ajase-5500	325	3	statistics	statistic	NOUN
ajase-5500	325	4	,	,	PUNCT
ajase-5500	325	5	15(1	15(1	NUM
ajase-5500	325	6	)	)	PUNCT
ajase-5500	325	7	,	,	PUNCT
ajase-5500	325	8	1–13	1–13	NOUN
ajase-5500	325	9	.	.	PUNCT
ajase-5500	326	1	https://doi	https://doi	PROPN
ajase-5500	326	2	.	.	PUNCT
ajase-5500	326	3	org/10.5923	org/10.5923	PROPN
ajase-5500	326	4	/	/	SYM
ajase-5500	326	5	j.statistics.20251501.01	j.statistics.20251501.01	PRON
ajase-5500	326	6	niclos	niclo	NOUN
ajase-5500	326	7	,	,	PUNCT
ajase-5500	326	8	r.	r.	PROPN
ajase-5500	326	9	,	,	PUNCT
ajase-5500	326	10	valiente	valiente	PROPN
ajase-5500	326	11	,	,	PUNCT
ajase-5500	326	12	j.	j.	PROPN
ajase-5500	326	13	a.	a.	PROPN
ajase-5500	326	14	,	,	PUNCT
ajase-5500	326	15	barbera	barbera	NOUN
ajase-5500	326	16	,	,	PUNCT
ajase-5500	326	17	m.	m.	NOUN
ajase-5500	326	18	j.	j.	PROPN
ajase-5500	326	19	,	,	PUNCT
ajase-5500	326	20	&	&	CCONJ
ajase-5500	326	21	caselles	caselle	NOUN
ajase-5500	326	22	,	,	PUNCT
ajase-5500	326	23	v.	v.	PROPN
ajase-5500	326	24	(	(	PUNCT
ajase-5500	326	25	2014	2014	NUM
ajase-5500	326	26	)	)	PUNCT
ajase-5500	326	27	.	.	PUNCT
ajase-5500	327	1	land	land	NOUN
ajase-5500	327	2	surface	surface	PROPN
ajase-5500	327	3	air	air	NOUN
ajase-5500	327	4	temperature	temperature	NOUN
ajase-5500	327	5	retrieval	retrieval	NOUN
ajase-5500	327	6	from	from	ADP
ajase-5500	327	7	eos	eos	PROPN
ajase-5500	327	8	-	-	PUNCT
ajase-5500	327	9	modis	modis	PROPN
ajase-5500	327	10	images	image	NOUN
ajase-5500	327	11	.	.	PUNCT
ajase-5500	328	1	ieee	ieee	NOUN
ajase-5500	328	2	geoscience	geoscience	PROPN
ajase-5500	328	3	and	and	CCONJ
ajase-5500	328	4	remote	remote	ADJ
ajase-5500	328	5	sensing	sense	VERB
ajase-5500	328	6	letters	letter	NOUN
ajase-5500	328	7	,	,	PUNCT
ajase-5500	328	8	11	11	NUM
ajase-5500	328	9	.	.	PUNCT
ajase-5500	329	1	https://doi.org/10.1109/	https://doi.org/10.1109/	PROPN
ajase-5500	329	2	lgrs.2013.2293540	lgrs.2013.2293540	PROPN
ajase-5500	329	3	nieto	nieto	PROPN
ajase-5500	329	4	,	,	PUNCT
ajase-5500	329	5	h.	h.	PROPN
ajase-5500	329	6	,	,	PUNCT
ajase-5500	329	7	sandholt	sandholt	PROPN
ajase-5500	329	8	,	,	PUNCT
ajase-5500	329	9	i.	i.	NOUN
ajase-5500	329	10	,	,	PUNCT
ajase-5500	329	11	aguado	aguado	NOUN
ajase-5500	329	12	,	,	PUNCT
ajase-5500	329	13	i.	i.	NOUN
ajase-5500	329	14	,	,	PUNCT
ajase-5500	329	15	chuvieco	chuvieco	PROPN
ajase-5500	329	16	,	,	PUNCT
ajase-5500	329	17	e.	e.	PROPN
ajase-5500	329	18	,	,	PUNCT
ajase-5500	329	19	&	&	CCONJ
ajase-5500	329	20	stisen	stisen	PROPN
ajase-5500	329	21	,	,	PUNCT
ajase-5500	329	22	s.	s.	PROPN
ajase-5500	329	23	(	(	PUNCT
ajase-5500	329	24	2011	2011	NUM
ajase-5500	329	25	)	)	PUNCT
ajase-5500	329	26	.	.	PUNCT
ajase-5500	330	1	air	air	NOUN
ajase-5500	330	2	temperature	temperature	NOUN
ajase-5500	330	3	estimation	estimation	NOUN
ajase-5500	330	4	with	with	ADP
ajase-5500	330	5	msgseviri	msgseviri	ADJ
ajase-5500	330	6	data	datum	NOUN
ajase-5500	330	7	:	:	PUNCT
ajase-5500	330	8	calibration	calibration	NOUN
ajase-5500	330	9	and	and	CCONJ
ajase-5500	330	10	validation	validation	NOUN
ajase-5500	330	11	of	of	ADP
ajase-5500	330	12	the	the	DET
ajase-5500	330	13	tvx	tvx	PROPN
ajase-5500	330	14	algorithm	algorithm	NOUN
ajase-5500	330	15	for	for	ADP
ajase-5500	330	16	the	the	DET
ajase-5500	330	17	iberian	iberian	PROPN
ajase-5500	330	18	peninsula	peninsula	NOUN
ajase-5500	330	19	.	.	PUNCT
ajase-5500	331	1	remote	remote	ADJ
ajase-5500	331	2	sensing	sensing	NOUN
ajase-5500	331	3	of	of	ADP
ajase-5500	331	4	environment	environment	NOUN
ajase-5500	331	5	,	,	PUNCT
ajase-5500	331	6	115	115	NUM
ajase-5500	331	7	.	.	PUNCT
ajase-5500	332	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
ajase-5500	332	2	.	.	PUNCT
ajase-5500	333	1	rse.2010.08.010	rse.2010.08.010	PROPN
ajase-5500	333	2	niles	nile	NOUN
ajase-5500	333	3	,	,	PUNCT
ajase-5500	333	4	m.	m.	NOUN
ajase-5500	333	5	t.	t.	PROPN
ajase-5500	333	6	,	,	PUNCT
ajase-5500	333	7	brown	brown	PROPN
ajase-5500	333	8	,	,	PUNCT
ajase-5500	333	9	m.	m.	NOUN
ajase-5500	333	10	,	,	PUNCT
ajase-5500	333	11	&	&	CCONJ
ajase-5500	333	12	dynes	dynes	PROPN
ajase-5500	333	13	,	,	PUNCT
ajase-5500	333	14	r.	r.	PROPN
ajase-5500	333	15	(	(	PUNCT
ajase-5500	333	16	2016	2016	NUM
ajase-5500	333	17	)	)	PUNCT
ajase-5500	333	18	.	.	PUNCT
ajase-5500	334	1	farmer	farmer	NOUN
ajase-5500	334	2	’s	’s	PART
ajase-5500	334	3	intended	intend	VERB
ajase-5500	334	4	and	and	CCONJ
ajase-5500	334	5	actual	actual	ADJ
ajase-5500	334	6	adoption	adoption	NOUN
ajase-5500	334	7	of	of	ADP
ajase-5500	334	8	climate	climate	NOUN
ajase-5500	334	9	change	change	NOUN
ajase-5500	334	10	mitigation	mitigation	NOUN
ajase-5500	334	11	and	and	CCONJ
ajase-5500	334	12	adaptation	adaptation	NOUN
ajase-5500	334	13	strategies	strategy	NOUN
ajase-5500	334	14	.	.	PUNCT
ajase-5500	335	1	climatic	climatic	ADJ
ajase-5500	335	2	change	change	NOUN
ajase-5500	335	3	,	,	PUNCT
ajase-5500	335	4	135	135	NUM
ajase-5500	335	5	,	,	PUNCT
ajase-5500	335	6	277–295	277–295	NUM
ajase-5500	335	7	.	.	PUNCT
ajase-5500	335	8	https://doi.org/10.1007/s10584-0151558-0	https://doi.org/10.1007/s10584-0151558-0	PROPN
ajase-5500	335	9	ninyerola	ninyerola	PROPN
ajase-5500	335	10	,	,	PUNCT
ajase-5500	335	11	m.	m.	NOUN
ajase-5500	335	12	,	,	PUNCT
ajase-5500	335	13	pons	pon	NOUN
ajase-5500	335	14	,	,	PUNCT
ajase-5500	335	15	x.	x.	NOUN
ajase-5500	335	16	,	,	PUNCT
ajase-5500	335	17	&	&	CCONJ
ajase-5500	335	18	roure	roure	PROPN
ajase-5500	335	19	,	,	PUNCT
ajase-5500	335	20	j.	j.	PROPN
ajase-5500	335	21	(	(	PUNCT
ajase-5500	335	22	2007	2007	NUM
ajase-5500	335	23	)	)	PUNCT
ajase-5500	335	24	.	.	PUNCT
ajase-5500	336	1	monthly	monthly	ADJ
ajase-5500	336	2	precipitation	precipitation	NOUN
ajase-5500	336	3	mapping	mapping	NOUN
ajase-5500	336	4	of	of	ADP
ajase-5500	336	5	the	the	DET
ajase-5500	336	6	iberian	iberian	ADJ
ajase-5500	336	7	peninsula	peninsula	NOUN
ajase-5500	336	8	using	use	VERB
ajase-5500	336	9	spatial	spatial	ADJ
ajase-5500	336	10	interpolation	interpolation	NOUN
ajase-5500	336	11	tools	tool	NOUN
ajase-5500	336	12	implemented	implement	VERB
ajase-5500	336	13	in	in	ADP
ajase-5500	336	14	a	a	DET
ajase-5500	336	15	geographic	geographic	ADJ
ajase-5500	336	16	information	information	NOUN
ajase-5500	336	17	system	system	NOUN
ajase-5500	336	18	.	.	PUNCT
ajase-5500	337	1	theoretical	theoretical	ADJ
ajase-5500	337	2	and	and	CCONJ
ajase-5500	337	3	applied	applied	ADJ
ajase-5500	337	4	climatology	climatology	NOUN
ajase-5500	337	5	,	,	PUNCT
ajase-5500	337	6	89	89	NUM
ajase-5500	337	7	,	,	PUNCT
ajase-5500	337	8	195–209	195–209	NUM
ajase-5500	337	9	.	.	PUNCT
ajase-5500	338	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
ajase-5500	338	2	s00704	s00704	PROPN
ajase-5500	338	3	-	-	PUNCT
ajase-5500	338	4	006	006	NUM
ajase-5500	338	5	-	-	PUNCT
ajase-5500	338	6	0264	0264	NUM
ajase-5500	338	7	-	-	PUNCT
ajase-5500	338	8	2	2	NUM
ajase-5500	338	9	okhakhu	okhakhu	NOUN
ajase-5500	338	10	,	,	PUNCT
ajase-5500	338	11	p.	p.	NOUN
ajase-5500	338	12	a.	a.	NOUN
ajase-5500	339	1	(	(	PUNCT
ajase-5500	339	2	2010	2010	NUM
ajase-5500	339	3	)	)	PUNCT
ajase-5500	339	4	.	.	PUNCT
ajase-5500	340	1	the	the	DET
ajase-5500	340	2	significance	significance	NOUN
ajase-5500	340	3	of	of	ADP
ajase-5500	340	4	climatic	climatic	ADJ
ajase-5500	340	5	elements	element	NOUN
ajase-5500	340	6	in	in	ADP
ajase-5500	340	7	planning	plan	VERB
ajase-5500	340	8	the	the	DET
ajase-5500	340	9	urban	urban	ADJ
ajase-5500	340	10	environment	environment	NOUN
ajase-5500	340	11	of	of	ADP
ajase-5500	340	12	benin	benin	PROPN
ajase-5500	340	13	city	city	PROPN
ajase-5500	340	14	,	,	PUNCT
ajase-5500	340	15	nigeria	nigeria	PROPN
ajase-5500	340	16	(	(	PUNCT
ajase-5500	340	17	unpublished	unpublished	ADJ
ajase-5500	340	18	doctoral	doctoral	ADJ
ajase-5500	340	19	dissertation	dissertation	NOUN
ajase-5500	340	20	)	)	PUNCT
ajase-5500	340	21	.	.	PUNCT
ajase-5500	341	1	ambrose	ambrose	PROPN
ajase-5500	341	2	alli	alli	PROPN
ajase-5500	341	3	university	university	PROPN
ajase-5500	341	4	.	.	PROPN
ajase-5500	342	1	oyediran	oyediran	PROPN
ajase-5500	342	2	,	,	PUNCT
ajase-5500	342	3	o.	o.	PROPN
ajase-5500	342	4	(	(	PUNCT
ajase-5500	342	5	1977	1977	NUM
ajase-5500	342	6	)	)	PUNCT
ajase-5500	342	7	.	.	PUNCT
ajase-5500	343	1	the	the	DET
ajase-5500	343	2	climates	climate	NOUN
ajase-5500	343	3	of	of	ADP
ajase-5500	343	4	west	west	PROPN
ajase-5500	343	5	africa	africa	PROPN
ajase-5500	343	6	.	.	PUNCT
ajase-5500	344	1	heinemann	heinemann	PROPN
ajase-5500	344	2	education	education	NOUN
ajase-5500	344	3	books	book	NOUN
ajase-5500	344	4	.	.	PUNCT
ajase-5500	345	1	park	park	NOUN
ajase-5500	345	2	,	,	PUNCT
ajase-5500	345	3	t.	t.	PROPN
ajase-5500	345	4	(	(	PUNCT
ajase-5500	345	5	2023	2023	NUM
ajase-5500	345	6	)	)	PUNCT
ajase-5500	345	7	.	.	PUNCT
ajase-5500	346	1	real	real	ADJ
ajase-5500	346	2	-	-	PUNCT
ajase-5500	346	3	time	time	NOUN
ajase-5500	346	4	prediction	prediction	NOUN
ajase-5500	346	5	for	for	ADP
ajase-5500	346	6	climate	climate	NOUN
ajase-5500	346	7	using	use	VERB
ajase-5500	346	8	multivariate	multivariate	NOUN
ajase-5500	346	9	time	time	NOUN
ajase-5500	346	10	series	series	PROPN
ajase-5500	346	11	.	.	PUNCT
ajase-5500	347	1	journal	journal	PROPN
ajase-5500	347	2	of	of	ADP
ajase-5500	347	3	applied	apply	VERB
ajase-5500	347	4	earth	earth	NOUN
ajase-5500	347	5	science	science	NOUN
ajase-5500	347	6	.	.	PUNCT
ajase-5500	348	1	prihodko	prihodko	PROPN
ajase-5500	348	2	,	,	PUNCT
ajase-5500	348	3	l.	l.	PROPN
ajase-5500	348	4	,	,	PUNCT
ajase-5500	348	5	&	&	CCONJ
ajase-5500	348	6	goward	goward	PROPN
ajase-5500	348	7	,	,	PUNCT
ajase-5500	348	8	s.	s.	PROPN
ajase-5500	348	9	n.	n.	PROPN
ajase-5500	348	10	(	(	PUNCT
ajase-5500	348	11	1997	1997	NUM
ajase-5500	348	12	)	)	PUNCT
ajase-5500	348	13	.	.	PUNCT
ajase-5500	349	1	estimation	estimation	NOUN
ajase-5500	349	2	of	of	ADP
ajase-5500	349	3	air	air	NOUN
ajase-5500	349	4	temperature	temperature	NOUN
ajase-5500	349	5	from	from	ADP
ajase-5500	349	6	remotely	remotely	ADV
ajase-5500	349	7	sensed	sense	VERB
ajase-5500	349	8	surface	surface	NOUN
ajase-5500	349	9	observations	observation	NOUN
ajase-5500	349	10	.	.	PUNCT
ajase-5500	350	1	remote	remote	ADJ
ajase-5500	350	2	sensing	sensing	NOUN
ajase-5500	350	3	of	of	ADP
ajase-5500	350	4	environment	environment	NOUN
ajase-5500	350	5	,	,	PUNCT
ajase-5500	350	6	60	60	NUM
ajase-5500	350	7	.	.	PUNCT
ajase-5500	351	1	https://doi.org/10.1016/s0034-4257(96)00216-7	https://doi.org/10.1016/s0034-4257(96)00216-7	PROPN
ajase-5500	351	2	qaisrani	qaisrani	PROPN
ajase-5500	351	3	,	,	PUNCT
ajase-5500	351	4	z.	z.	PROPN
ajase-5500	351	5	n.	n.	PROPN
ajase-5500	351	6	,	,	PUNCT
ajase-5500	351	7	nuthammachot	nuthammachot	ADJ
ajase-5500	351	8	,	,	PUNCT
ajase-5500	351	9	n.	n.	NOUN
ajase-5500	351	10	,	,	PUNCT
ajase-5500	351	11	&	&	CCONJ
ajase-5500	351	12	techato	techato	PROPN
ajase-5500	351	13	,	,	PUNCT
ajase-5500	351	14	k.	k.	PROPN
ajase-5500	351	15	(	(	PUNCT
ajase-5500	351	16	2021	2021	NUM
ajase-5500	351	17	)	)	PUNCT
ajase-5500	351	18	.	.	PUNCT
ajase-5500	352	1	drought	drought	NOUN
ajase-5500	352	2	monitoring	monitoring	NOUN
ajase-5500	352	3	based	base	VERB
ajase-5500	352	4	on	on	ADP
ajase-5500	352	5	standardized	standardized	ADJ
ajase-5500	352	6	precipitation	precipitation	NOUN
ajase-5500	352	7	index	index	NOUN
ajase-5500	352	8	and	and	CCONJ
ajase-5500	352	9	standardized	standardized	ADJ
ajase-5500	352	10	precipitation	precipitation	NOUN
ajase-5500	352	11	evapotranspiration	evapotranspiration	NOUN
ajase-5500	352	12	index	index	NOUN
ajase-5500	352	13	in	in	ADP
ajase-5500	352	14	the	the	DET
ajase-5500	352	15	arid	arid	NOUN
ajase-5500	352	16	zone	zone	NOUN
ajase-5500	352	17	of	of	ADP
ajase-5500	352	18	balochistan	balochistan	PROPN
ajase-5500	352	19	province	province	NOUN
ajase-5500	352	20	,	,	PUNCT
ajase-5500	352	21	pakistan	pakistan	PROPN
ajase-5500	352	22	.	.	PUNCT
ajase-5500	353	1	arabian	arabian	ADJ
ajase-5500	353	2	journal	journal	PROPN
ajase-5500	353	3	of	of	ADP
ajase-5500	353	4	geosciences	geoscience	NOUN
ajase-5500	353	5	.	.	PUNCT
ajase-5500	354	1	https://doi.org/10.1007/s12517-02006302-w	https://doi.org/10.1007/s12517-02006302-w	PROPN
ajase-5500	354	2	ragatoa	ragatoa	PROPN
ajase-5500	354	3	,	,	PUNCT
ajase-5500	354	4	d.	d.	PROPN
ajase-5500	354	5	s.	s.	PROPN
ajase-5500	354	6	,	,	PUNCT
ajase-5500	354	7	ogunjobi	ogunjobi	PROPN
ajase-5500	354	8	,	,	PUNCT
ajase-5500	354	9	k.	k.	PROPN
ajase-5500	354	10	o.	o.	PROPN
ajase-5500	354	11	,	,	PUNCT
ajase-5500	354	12	okhimamhe	okhimamhe	PROPN
ajase-5500	354	13	,	,	PUNCT
ajase-5500	354	14	a.	a.	NOUN
ajase-5500	354	15	a.	a.	PROPN
ajase-5500	354	16	,	,	PUNCT
ajase-5500	354	17	francis	francis	PROPN
ajase-5500	354	18	,	,	PUNCT
ajase-5500	354	19	s.	s.	PROPN
ajase-5500	354	20	d.	d.	PROPN
ajase-5500	354	21	,	,	PUNCT
ajase-5500	354	22	&	&	CCONJ
ajase-5500	354	23	adet	adet	PROPN
ajase-5500	354	24	,	,	PUNCT
ajase-5500	354	25	l.	l.	PROPN
ajase-5500	354	26	(	(	PUNCT
ajase-5500	354	27	2018	2018	NUM
ajase-5500	354	28	)	)	PUNCT
ajase-5500	354	29	.	.	PUNCT
ajase-5500	355	1	a	a	DET
ajase-5500	355	2	trend	trend	NOUN
ajase-5500	355	3	analysis	analysis	NOUN
ajase-5500	355	4	of	of	ADP
ajase-5500	355	5	temperature	temperature	NOUN
ajase-5500	355	6	in	in	ADP
ajase-5500	355	7	selected	select	VERB
ajase-5500	355	8	stations	station	NOUN
ajase-5500	355	9	in	in	ADP
ajase-5500	355	10	nigeria	nigeria	PROPN
ajase-5500	355	11	using	use	VERB
ajase-5500	355	12	three	three	NUM
ajase-5500	355	13	different	different	ADJ
ajase-5500	355	14	approaches	approach	NOUN
ajase-5500	355	15	.	.	PUNCT
ajase-5500	356	1	open	open	ADJ
ajase-5500	356	2	access	access	NOUN
ajase-5500	356	3	library	library	PROPN
ajase-5500	356	4	journal	journal	NOUN
ajase-5500	356	5	,	,	PUNCT
ajase-5500	356	6	5(2	5(2	NUM
ajase-5500	356	7	)	)	PUNCT
ajase-5500	356	8	,	,	PUNCT
ajase-5500	356	9	1–17	1–17	PROPN
ajase-5500	356	10	.	.	PUNCT
ajase-5500	357	1	https://doi.org/10.4236/oalib.1104371	https://doi.org/10.4236/oalib.1104371	PROPN
ajase-5500	357	2	slater	slater	PROPN
ajase-5500	357	3	,	,	PUNCT
ajase-5500	357	4	l.	l.	PROPN
ajase-5500	357	5	j.	j.	PROPN
ajase-5500	357	6	,	,	PUNCT
ajase-5500	357	7	arnal	arnal	PROPN
ajase-5500	357	8	,	,	PUNCT
ajase-5500	357	9	l.	l.	PROPN
ajase-5500	357	10	,	,	PUNCT
ajase-5500	357	11	&	&	CCONJ
ajase-5500	357	12	boucher	boucher	PROPN
ajase-5500	357	13	,	,	PUNCT
ajase-5500	357	14	m.-a	m.-a	NOUN
ajase-5500	357	15	.	.	PUNCT
ajase-5500	358	1	(	(	PUNCT
ajase-5500	358	2	2023	2023	NUM
ajase-5500	358	3	)	)	PUNCT
ajase-5500	358	4	.	.	PUNCT
ajase-5500	359	1	hybrid	hybrid	ADJ
ajase-5500	359	2	forecasting	forecasting	NOUN
ajase-5500	359	3	:	:	PUNCT
ajase-5500	359	4	blending	blend	VERB
ajase-5500	359	5	climate	climate	NOUN
ajase-5500	359	6	predictions	prediction	NOUN
ajase-5500	359	7	with	with	ADP
ajase-5500	359	8	ai	ai	PROPN
ajase-5500	359	9	models	model	NOUN
ajase-5500	359	10	.	.	PUNCT
ajase-5500	360	1	hydrology	hydrology	NOUN
ajase-5500	360	2	and	and	CCONJ
ajase-5500	360	3	earth	earth	NOUN
ajase-5500	360	4	system	system	NOUN
ajase-5500	360	5	sciences	science	NOUN
ajase-5500	360	6	,	,	PUNCT
ajase-5500	360	7	27	27	NUM
ajase-5500	360	8	,	,	PUNCT
ajase-5500	360	9	1865	1865	NUM
ajase-5500	360	10	–	–	PUNCT
ajase-5500	360	11	1889	1889	NUM
ajase-5500	360	12	.	.	PUNCT
ajase-5500	361	1	stock	stock	NOUN
ajase-5500	361	2	,	,	PUNCT
ajase-5500	361	3	j.	j.	PROPN
ajase-5500	361	4	h.	h.	PROPN
ajase-5500	361	5	,	,	PUNCT
ajase-5500	361	6	&	&	CCONJ
ajase-5500	361	7	watson	watson	PROPN
ajase-5500	361	8	,	,	PUNCT
ajase-5500	361	9	m.	m.	PROPN
ajase-5500	361	10	w.	w.	PROPN
ajase-5500	361	11	(	(	PUNCT
ajase-5500	361	12	2002	2002	NUM
ajase-5500	361	13	)	)	PUNCT
ajase-5500	361	14	.	.	PUNCT
ajase-5500	362	1	macroeconomic	macroeconomic	ADJ
ajase-5500	362	2	forecasting	forecasting	NOUN
ajase-5500	362	3	using	use	VERB
ajase-5500	362	4	diffusion	diffusion	NOUN
ajase-5500	362	5	indexes	index	NOUN
ajase-5500	362	6	.	.	PUNCT
ajase-5500	363	1	journal	journal	PROPN
ajase-5500	363	2	of	of	ADP
ajase-5500	363	3	business	business	PROPN
ajase-5500	363	4	&	&	CCONJ
ajase-5500	363	5	economic	economic	ADJ
ajase-5500	363	6	statistics	statistic	NOUN
ajase-5500	363	7	,	,	PUNCT
ajase-5500	363	8	20	20	NUM
ajase-5500	363	9	,	,	PUNCT
ajase-5500	363	10	147–162	147–162	NUM
ajase-5500	363	11	.	.	PUNCT
ajase-5500	364	1	van	van	PROPN
ajase-5500	364	2	der	der	PROPN
ajase-5500	364	3	wiel	wiel	PROPN
ajase-5500	364	4	,	,	PUNCT
ajase-5500	364	5	k.	k.	PROPN
ajase-5500	364	6	,	,	PUNCT
ajase-5500	364	7	&	&	CCONJ
ajase-5500	364	8	bintanja	bintanja	PROPN
ajase-5500	364	9	,	,	PUNCT
ajase-5500	364	10	r.	r.	PROPN
ajase-5500	364	11	(	(	PUNCT
ajase-5500	364	12	2021	2021	NUM
ajase-5500	364	13	)	)	PUNCT
ajase-5500	364	14	.	.	PUNCT
ajase-5500	365	1	contribution	contribution	NOUN
ajase-5500	365	2	of	of	ADP
ajase-5500	365	3	climatic	climatic	ADJ
ajase-5500	365	4	changes	change	NOUN
ajase-5500	365	5	in	in	ADP
ajase-5500	365	6	mean	mean	NOUN
ajase-5500	365	7	and	and	CCONJ
ajase-5500	365	8	variability	variability	NOUN
ajase-5500	365	9	to	to	ADP
ajase-5500	365	10	monthly	monthly	ADJ
ajase-5500	365	11	temperature	temperature	NOUN
ajase-5500	365	12	and	and	CCONJ
ajase-5500	365	13	precipitation	precipitation	NOUN
ajase-5500	365	14	extremes	extreme	NOUN
ajase-5500	365	15	.	.	PUNCT
ajase-5500	366	1	communications	communication	NOUN
ajase-5500	366	2	earth	earth	PROPN
ajase-5500	366	3	&	&	CCONJ
ajase-5500	366	4	environment	environment	PROPN
ajase-5500	366	5	,	,	PUNCT
ajase-5500	366	6	2(1	2(1	NUM
ajase-5500	366	7	)	)	PUNCT
ajase-5500	366	8	,	,	PUNCT
ajase-5500	366	9	1–21	1–21	PROPN
ajase-5500	366	10	.	.	PUNCT
ajase-5500	366	11	https://doi.org/10.1038/s43247-020-00077-4	https://doi.org/10.1038/s43247-020-00077-4	VERB
ajase-5500	366	12	vaswani	vaswani	NOUN
ajase-5500	366	13	,	,	PUNCT
ajase-5500	366	14	a.	a.	NOUN
ajase-5500	366	15	(	(	PUNCT
ajase-5500	366	16	2017	2017	NUM
ajase-5500	366	17	)	)	PUNCT
ajase-5500	366	18	.	.	PUNCT
ajase-5500	367	1	attention	attention	NOUN
ajase-5500	367	2	is	be	AUX
ajase-5500	367	3	all	all	PRON
ajase-5500	367	4	you	you	PRON
ajase-5500	367	5	need	need	VERB
ajase-5500	367	6	.	.	PUNCT
ajase-5500	368	1	advances	advance	NOUN
ajase-5500	368	2	in	in	ADP
ajase-5500	368	3	neural	neural	ADJ
ajase-5500	368	4	information	information	NOUN
ajase-5500	368	5	processing	processing	NOUN
ajase-5500	368	6	systems	system	NOUN
ajase-5500	368	7	,	,	PUNCT
ajase-5500	368	8	30	30	NUM
ajase-5500	368	9	.	.	PUNCT
ajase-5500	369	1	west	west	PROPN
ajase-5500	369	2	,	,	PUNCT
ajase-5500	369	3	m.	m.	NOUN
ajase-5500	369	4	(	(	PUNCT
ajase-5500	369	5	2003	2003	NUM
ajase-5500	369	6	)	)	PUNCT
ajase-5500	369	7	.	.	PUNCT
ajase-5500	370	1	bayesian	bayesian	NOUN
ajase-5500	370	2	factor	factor	NOUN
ajase-5500	370	3	regression	regression	NOUN
ajase-5500	370	4	models	model	NOUN
ajase-5500	370	5	in	in	ADP
ajase-5500	370	6	the	the	DET
ajase-5500	370	7	“	"	PUNCT
ajase-5500	370	8	large	large	ADJ
ajase-5500	370	9	p	p	NOUN
ajase-5500	370	10	,	,	PUNCT
ajase-5500	370	11	small	small	ADJ
ajase-5500	370	12	n	n	CCONJ
ajase-5500	370	13	”	"	PUNCT
ajase-5500	370	14	paradigm	paradigm	NOUN
ajase-5500	370	15	.	.	PUNCT
ajase-5500	371	1	bayesian	bayesian	NOUN
ajase-5500	371	2	statistics	statistic	NOUN
ajase-5500	371	3	,	,	PUNCT
ajase-5500	371	4	7	7	NUM
ajase-5500	371	5	,	,	PUNCT
ajase-5500	371	6	723–732	723–732	NUM
ajase-5500	371	7	.	.	PUNCT
ajase-5500	372	1	zou	zou	PROPN
ajase-5500	372	2	,	,	PUNCT
ajase-5500	372	3	h.	h.	PROPN
ajase-5500	372	4	(	(	PUNCT
ajase-5500	372	5	2006	2006	NUM
ajase-5500	372	6	)	)	PUNCT
ajase-5500	372	7	.	.	PUNCT
ajase-5500	373	1	the	the	DET
ajase-5500	373	2	adaptive	adaptive	ADJ
ajase-5500	373	3	lasso	lasso	NOUN
ajase-5500	373	4	and	and	CCONJ
ajase-5500	373	5	its	its	PRON
ajase-5500	373	6	oracle	oracle	NOUN
ajase-5500	373	7	properties	property	NOUN
ajase-5500	373	8	.	.	PUNCT
ajase-5500	374	1	journal	journal	NOUN
ajase-5500	374	2	of	of	ADP
ajase-5500	374	3	the	the	DET
ajase-5500	374	4	american	american	PROPN
ajase-5500	374	5	statistical	statistical	PROPN
ajase-5500	374	6	association	association	PROPN
ajase-5500	374	7	,	,	PUNCT
ajase-5500	374	8	101(476	101(476	NUM
ajase-5500	374	9	)	)	PUNCT
ajase-5500	374	10	,	,	PUNCT
ajase-5500	374	11	1418–1429	1418–1429	NUM
ajase-5500	374	12	.	.	PUNCT