id	sid	tid	token	lemma	pos
arees-709	1	1	1	1	NUM
arees-709	1	2	©	©	PROPN
arees-709	1	3	2019	2019	NUM
arees-709	1	4	by	by	ADP
arees-709	1	5	the	the	DET
arees-709	1	6	authors	author	NOUN
arees-709	1	7	;	;	PUNCT
arees-709	1	8	licensee	licensee	PROPN
arees-709	1	9	asian	asian	ADJ
arees-709	1	10	online	online	PROPN
arees-709	1	11	journal	journal	PROPN
arees-709	1	12	publishing	publishing	NOUN
arees-709	1	13	group	group	PROPN
arees-709	1	14	asian	asian	PROPN
arees-709	1	15	review	review	NOUN
arees-709	1	16	of	of	ADP
arees-709	1	17	environmental	environmental	ADJ
arees-709	1	18	and	and	CCONJ
arees-709	1	19	earth	earth	NOUN
arees-709	1	20	sciences	sciences	PROPN
arees-709	1	21	vol	vol	NOUN
arees-709	1	22	.	.	PROPN
arees-709	2	1	6	6	NUM
arees-709	2	2	,	,	PUNCT
arees-709	2	3	no	no	INTJ
arees-709	2	4	.	.	NOUN
arees-709	2	5	1	1	NUM
arees-709	2	6	,	,	PUNCT
arees-709	2	7	1	1	NUM
arees-709	2	8	-	-	SYM
arees-709	2	9	8	8	NUM
arees-709	2	10	,	,	PUNCT
arees-709	2	11	2019	2019	NUM
arees-709	2	12	issn(e	issn(e	NOUN
arees-709	2	13	)	)	PUNCT
arees-709	2	14	2313	2313	NUM
arees-709	2	15	-	-	SYM
arees-709	2	16	8173	8173	NUM
arees-709	2	17	/	/	SYM
arees-709	2	18	issn(p	issn(p	PROPN
arees-709	2	19	)	)	PUNCT
arees-709	2	20	2518	2518	NUM
arees-709	2	21	-	-	SYM
arees-709	2	22	0134	0134	NUM
arees-709	2	23	doi	doi	NOUN
arees-709	2	24	:	:	PUNCT
arees-709	2	25	10.20448	10.20448	NUM
arees-709	2	26	/	/	SYM
arees-709	2	27	journal.506.2019.61.1.8	journal.506.2019.61.1.8	PROPN
arees-709	2	28	©	©	PROPN
arees-709	2	29	2019	2019	NUM
arees-709	2	30	by	by	ADP
arees-709	2	31	the	the	DET
arees-709	2	32	authors	author	NOUN
arees-709	2	33	;	;	PUNCT
arees-709	2	34	licensee	licensee	PROPN
arees-709	2	35	asian	asian	ADJ
arees-709	2	36	online	online	PROPN
arees-709	2	37	journal	journal	PROPN
arees-709	2	38	publishing	publishing	NOUN
arees-709	2	39	group	group	NOUN
arees-709	2	40	water	water	NOUN
arees-709	2	41	temperature	temperature	NOUN
arees-709	2	42	prediction	prediction	NOUN
arees-709	2	43	models	model	NOUN
arees-709	2	44	in	in	ADP
arees-709	2	45	northern	northern	ADJ
arees-709	2	46	coastal	coastal	ADJ
arees-709	2	47	area	area	NOUN
arees-709	2	48	,	,	PUNCT
arees-709	2	49	vietnam	vietnam	PROPN
arees-709	2	50	nguyen	nguyen	PROPN
arees-709	3	1	xuan	xuan	PROPN
arees-709	3	2	trinh1	trinh1	PROPN
arees-709	4	1	tu	tu	PROPN
arees-709	4	2	quang	quang	PROPN
arees-709	4	3	trinh2	trinh2	PROPN
arees-709	4	4	thanh	thanh	PROPN
arees-709	4	5	phuong	phuong	PROPN
arees-709	4	6	phan3	phan3	PROPN
arees-709	4	7	tung	tung	PROPN
arees-709	4	8	nguyen	nguyen	PROPN
arees-709	4	9	thanh4	thanh4	PROPN
arees-709	5	1	bach	bach	PROPN
arees-709	5	2	nguyen	nguyen	PROPN
arees-709	5	3	thanh5	thanh5	NOUN
arees-709	6	1	(	(	PUNCT
arees-709	6	2			PROPN
arees-709	6	3	corresponding	correspond	VERB
arees-709	6	4	author	author	NOUN
arees-709	6	5	)	)	PUNCT
arees-709	6	6	1,2,3,4,5vietnam	1,2,3,4,5vietnam	NUM
arees-709	6	7	institute	institute	NOUN
arees-709	6	8	of	of	ADP
arees-709	6	9	fisheries	fishery	NOUN
arees-709	6	10	economics	economic	NOUN
arees-709	6	11	and	and	CCONJ
arees-709	6	12	planning	planning	NOUN
arees-709	6	13	,	,	PUNCT
arees-709	6	14	vietnam	vietnam	PROPN
arees-709	6	15	abstract	abstract	NOUN
arees-709	6	16	this	this	DET
arees-709	6	17	paper	paper	NOUN
arees-709	6	18	presents	present	VERB
arees-709	6	19	the	the	DET
arees-709	6	20	results	result	NOUN
arees-709	6	21	of	of	ADP
arees-709	6	22	regression	regression	NOUN
arees-709	6	23	models	model	NOUN
arees-709	6	24	(	(	PUNCT
arees-709	6	25	linear	linear	ADJ
arees-709	6	26	,	,	PUNCT
arees-709	6	27	nonlinear	nonlinear	ADJ
arees-709	6	28	and	and	CCONJ
arees-709	6	29	stochastic	stochastic	ADJ
arees-709	6	30	regression	regression	NOUN
arees-709	6	31	)	)	PUNCT
arees-709	6	32	and	and	CCONJ
arees-709	6	33	artificial	artificial	ADJ
arees-709	6	34	neural	neural	ADJ
arees-709	6	35	network	network	NOUN
arees-709	6	36	models	model	NOUN
arees-709	6	37	(	(	PUNCT
arees-709	6	38	ann	ann	PROPN
arees-709	6	39	)	)	PUNCT
arees-709	6	40	using	use	VERB
arees-709	6	41	observed	observed	ADJ
arees-709	6	42	data	datum	NOUN
arees-709	6	43	of	of	ADP
arees-709	6	44	daily	daily	ADJ
arees-709	6	45	maximum	maximum	ADJ
arees-709	6	46	air	air	NOUN
arees-709	6	47	and	and	CCONJ
arees-709	6	48	water	water	NOUN
arees-709	6	49	temperature	temperature	NOUN
arees-709	6	50	at	at	ADP
arees-709	6	51	bai	bai	PROPN
arees-709	6	52	chay	chay	PROPN
arees-709	6	53	station	station	NOUN
arees-709	6	54	in	in	ADP
arees-709	6	55	the	the	DET
arees-709	6	56	coastal	coastal	ADJ
arees-709	6	57	areas	area	NOUN
arees-709	6	58	of	of	ADP
arees-709	6	59	northern	northern	ADJ
arees-709	6	60	delta	delta	PROPN
arees-709	6	61	,	,	PUNCT
arees-709	6	62	vietnam	vietnam	PROPN
arees-709	6	63	.	.	PUNCT
arees-709	7	1	the	the	DET
arees-709	7	2	accuracy	accuracy	NOUN
arees-709	7	3	of	of	ADP
arees-709	7	4	the	the	DET
arees-709	7	5	models	model	NOUN
arees-709	7	6	was	be	AUX
arees-709	7	7	evaluated	evaluate	VERB
arees-709	7	8	and	and	CCONJ
arees-709	7	9	compared	compare	VERB
arees-709	7	10	by	by	ADP
arees-709	7	11	r	r	NOUN
arees-709	7	12	,	,	PUNCT
arees-709	7	13	rmse	rmse	NOUN
arees-709	7	14	,	,	PUNCT
arees-709	7	15	rmse%	rmse%	PUNCT
arees-709	7	16	and	and	CCONJ
arees-709	7	17	e	e	NOUN
arees-709	7	18	indicators	indicator	NOUN
arees-709	7	19	.	.	PUNCT
arees-709	8	1	the	the	DET
arees-709	8	2	ann	ann	PROPN
arees-709	8	3	model	model	NOUN
arees-709	8	4	was	be	AUX
arees-709	8	5	highlight	highlight	VERB
arees-709	8	6	results	result	NOUN
arees-709	8	7	with	with	ADP
arees-709	8	8	the	the	DET
arees-709	8	9	rmse	rmse	NOUN
arees-709	8	10	=	=	NOUN
arees-709	8	11	1.24	1.24	NUM
arees-709	8	12	;	;	PUNCT
arees-709	9	1	r	r	NOUN
arees-709	9	2	=	=	SYM
arees-709	9	3	0.98	0.98	NUM
arees-709	9	4	;	;	PUNCT
arees-709	9	5	e	e	X
arees-709	9	6	=	=	NOUN
arees-709	9	7	0.9	0.9	NUM
arees-709	9	8	;	;	PUNCT
arees-709	9	9	rmse%	rmse%	PUNCT
arees-709	9	10	=	=	SYM
arees-709	9	11	4	4	X
arees-709	9	12	.	.	PUNCT
arees-709	10	1	the	the	DET
arees-709	10	2	results	result	NOUN
arees-709	10	3	of	of	ADP
arees-709	10	4	the	the	DET
arees-709	10	5	study	study	NOUN
arees-709	10	6	also	also	ADV
arees-709	10	7	show	show	VERB
arees-709	10	8	that	that	SCONJ
arees-709	10	9	daily	daily	ADJ
arees-709	10	10	water	water	NOUN
arees-709	10	11	temperature	temperature	NOUN
arees-709	10	12	is	be	AUX
arees-709	10	13	affected	affect	VERB
arees-709	10	14	by	by	ADP
arees-709	10	15	daily	daily	ADJ
arees-709	10	16	maximum	maximum	ADJ
arees-709	10	17	and	and	CCONJ
arees-709	10	18	average	average	ADJ
arees-709	10	19	air	air	NOUN
arees-709	10	20	temperature	temperature	NOUN
arees-709	10	21	of	of	ADP
arees-709	10	22	previous	previous	ADJ
arees-709	10	23	1	1	NUM
arees-709	10	24	and	and	CCONJ
arees-709	10	25	2	2	NUM
arees-709	10	26	days	day	NOUN
arees-709	10	27	.	.	PUNCT
arees-709	11	1	the	the	DET
arees-709	11	2	main	main	ADJ
arees-709	11	3	contribution	contribution	NOUN
arees-709	11	4	of	of	ADP
arees-709	11	5	this	this	DET
arees-709	11	6	study	study	NOUN
arees-709	11	7	is	be	AUX
arees-709	11	8	to	to	PART
arees-709	11	9	identify	identify	VERB
arees-709	11	10	the	the	DET
arees-709	11	11	appropriate	appropriate	ADJ
arees-709	11	12	models	model	NOUN
arees-709	11	13	and	and	CCONJ
arees-709	11	14	time	time	NOUN
arees-709	11	15	lag	lag	NOUN
arees-709	11	16	factors	factor	NOUN
arees-709	11	17	for	for	ADP
arees-709	11	18	water	water	NOUN
arees-709	11	19	temperature	temperature	NOUN
arees-709	11	20	prediction	prediction	NOUN
arees-709	11	21	from	from	ADP
arees-709	11	22	the	the	DET
arees-709	11	23	air	air	NOUN
arees-709	11	24	temperature	temperature	NOUN
arees-709	11	25	applied	apply	VERB
arees-709	11	26	to	to	ADP
arees-709	11	27	neighboring	neighbor	VERB
arees-709	11	28	meteorological	meteorological	ADJ
arees-709	11	29	stations	station	NOUN
arees-709	11	30	without	without	ADP
arees-709	11	31	water	water	NOUN
arees-709	11	32	temperature	temperature	NOUN
arees-709	11	33	monitoring	monitoring	NOUN
arees-709	11	34	data	datum	NOUN
arees-709	11	35	.	.	PUNCT
arees-709	12	1	the	the	DET
arees-709	12	2	results	result	NOUN
arees-709	12	3	of	of	ADP
arees-709	12	4	the	the	DET
arees-709	12	5	study	study	NOUN
arees-709	12	6	could	could	AUX
arees-709	12	7	be	be	AUX
arees-709	12	8	used	use	VERB
arees-709	12	9	as	as	ADP
arees-709	12	10	a	a	DET
arees-709	12	11	basis	basis	NOUN
arees-709	12	12	for	for	ADP
arees-709	12	13	determining	determine	VERB
arees-709	12	14	the	the	DET
arees-709	12	15	spatial	spatial	ADJ
arees-709	12	16	distribution	distribution	NOUN
arees-709	12	17	of	of	ADP
arees-709	12	18	water	water	NOUN
arees-709	12	19	temperature	temperature	NOUN
arees-709	12	20	risk	risk	NOUN
arees-709	12	21	to	to	PART
arees-709	12	22	aquaculture	aquaculture	VERB
arees-709	12	23	in	in	ADP
arees-709	12	24	the	the	DET
arees-709	12	25	coastal	coastal	ADJ
arees-709	12	26	areas	area	NOUN
arees-709	12	27	of	of	ADP
arees-709	12	28	northern	northern	ADJ
arees-709	12	29	delta	delta	PROPN
arees-709	12	30	,	,	PUNCT
arees-709	12	31	vietnam	vietnam	PROPN
arees-709	12	32	.	.	PUNCT
arees-709	13	1	keywords	keyword	NOUN
arees-709	13	2	:	:	PUNCT
arees-709	13	3	mathematical	mathematical	ADJ
arees-709	13	4	methods	method	NOUN
arees-709	13	5	,	,	PUNCT
arees-709	13	6	environmental	environmental	ADJ
arees-709	13	7	issues	issue	NOUN
arees-709	13	8	,	,	PUNCT
arees-709	13	9	climate	climate	NOUN
arees-709	13	10	,	,	PUNCT
arees-709	13	11	water	water	NOUN
arees-709	13	12	,	,	PUNCT
arees-709	13	13	forecasting	forecasting	NOUN
arees-709	13	14	models	model	NOUN
arees-709	13	15	,	,	PUNCT
arees-709	13	16	model	model	NOUN
arees-709	13	17	evaluation	evaluation	NOUN
arees-709	13	18	citation	citation	NOUN
arees-709	14	1	|	|	ADV
arees-709	14	2	nguyen	nguyen	PROPN
arees-709	14	3	xuan	xuan	PROPN
arees-709	14	4	trinh	trinh	PROPN
arees-709	14	5	;	;	PUNCT
arees-709	14	6	tu	tu	PROPN
arees-709	14	7	quang	quang	PROPN
arees-709	14	8	trinh	trinh	PROPN
arees-709	14	9	;	;	PUNCT
arees-709	14	10	thanh	thanh	PROPN
arees-709	14	11	phuong	phuong	PROPN
arees-709	14	12	phan	phan	PROPN
arees-709	14	13	;	;	PUNCT
arees-709	14	14	tung	tung	PROPN
arees-709	14	15	nguyen	nguyen	PROPN
arees-709	14	16	thanh	thanh	PROPN
arees-709	14	17	;	;	PUNCT
arees-709	14	18	bach	bach	PROPN
arees-709	14	19	nguyen	nguyen	PROPN
arees-709	14	20	thanh	thanh	PROPN
arees-709	14	21	(	(	PUNCT
arees-709	14	22	2019	2019	NUM
arees-709	14	23	)	)	PUNCT
arees-709	14	24	.	.	PUNCT
arees-709	15	1	water	water	NOUN
arees-709	15	2	temperature	temperature	NOUN
arees-709	15	3	prediction	prediction	NOUN
arees-709	15	4	models	model	NOUN
arees-709	15	5	in	in	ADP
arees-709	15	6	northern	northern	ADJ
arees-709	15	7	coastal	coastal	ADJ
arees-709	15	8	area	area	NOUN
arees-709	15	9	,	,	PUNCT
arees-709	15	10	vietnam	vietnam	PROPN
arees-709	15	11	.	.	PUNCT
arees-709	16	1	asian	asian	PROPN
arees-709	16	2	review	review	PROPN
arees-709	16	3	of	of	ADP
arees-709	16	4	environmental	environmental	ADJ
arees-709	16	5	and	and	CCONJ
arees-709	16	6	earth	earth	NOUN
arees-709	16	7	sciences	science	NOUN
arees-709	16	8	,	,	PUNCT
arees-709	16	9	6(1	6(1	NUM
arees-709	16	10	):	):	PUNCT
arees-709	16	11	1	1	NUM
arees-709	16	12	-	-	SYM
arees-709	16	13	8	8	NUM
arees-709	16	14	.	.	PUNCT
arees-709	17	1	history	history	NOUN
arees-709	17	2	:	:	PUNCT
arees-709	17	3	received	receive	VERB
arees-709	17	4	:	:	PUNCT
arees-709	17	5	12	12	NUM
arees-709	17	6	october	october	NOUN
arees-709	17	7	2018	2018	NUM
arees-709	17	8	revised	revise	VERB
arees-709	17	9	:	:	PUNCT
arees-709	17	10	15	15	NUM
arees-709	17	11	november	november	PROPN
arees-709	17	12	2018	2018	NUM
arees-709	17	13	accepted	accept	VERB
arees-709	17	14	:	:	PUNCT
arees-709	17	15	17	17	NUM
arees-709	17	16	december	december	PROPN
arees-709	17	17	2018	2018	NUM
arees-709	17	18	published	publish	VERB
arees-709	17	19	:	:	PUNCT
arees-709	17	20	25	25	NUM
arees-709	17	21	january	january	PROPN
arees-709	17	22	2019	2019	NUM
arees-709	17	23	licensed	license	VERB
arees-709	17	24	:	:	PUNCT
arees-709	17	25	this	this	DET
arees-709	17	26	work	work	NOUN
arees-709	17	27	is	be	AUX
arees-709	17	28	licensed	license	VERB
arees-709	17	29	under	under	ADP
arees-709	17	30	a	a	DET
arees-709	17	31	creative	creative	ADJ
arees-709	17	32	commons	common	NOUN
arees-709	17	33	attribution	attribution	NOUN
arees-709	17	34	3.0	3.0	NUM
arees-709	17	35	license	license	NOUN
arees-709	17	36	publisher	publisher	NOUN
arees-709	17	37	:	:	PUNCT
arees-709	17	38	asian	asian	ADJ
arees-709	17	39	online	online	PROPN
arees-709	17	40	journal	journal	PROPN
arees-709	17	41	publishing	publishing	NOUN
arees-709	17	42	group	group	NOUN
arees-709	17	43	contribution	contribution	NOUN
arees-709	17	44	/	/	SYM
arees-709	17	45	acknowledgement	acknowledgement	NOUN
arees-709	17	46	:	:	PUNCT
arees-709	17	47	the	the	DET
arees-709	17	48	authors	author	NOUN
arees-709	17	49	gratefully	gratefully	ADV
arees-709	17	50	acknowledge	acknowledge	VERB
arees-709	17	51	all	all	DET
arees-709	17	52	the	the	DET
arees-709	17	53	support	support	NOUN
arees-709	17	54	and	and	CCONJ
arees-709	17	55	assistance	assistance	NOUN
arees-709	17	56	of	of	ADP
arees-709	17	57	the	the	DET
arees-709	17	58	program	program	NOUN
arees-709	17	59	management	management	NOUN
arees-709	17	60	board	board	NOUN
arees-709	17	61	.	.	PUNCT
arees-709	18	1	the	the	DET
arees-709	18	2	authors	author	NOUN
arees-709	18	3	also	also	ADV
arees-709	18	4	wish	wish	VERB
arees-709	18	5	to	to	PART
arees-709	18	6	thank	thank	VERB
arees-709	18	7	the	the	DET
arees-709	18	8	referee	referee	NOUN
arees-709	18	9	,	,	PUNCT
arees-709	18	10	the	the	DET
arees-709	18	11	editor	editor	NOUN
arees-709	18	12	,	,	PUNCT
arees-709	18	13	and	and	CCONJ
arees-709	18	14	sara	sara	PROPN
arees-709	18	15	lim	lim	PROPN
arees-709	18	16	for	for	ADP
arees-709	18	17	helpful	helpful	ADJ
arees-709	18	18	comments	comment	NOUN
arees-709	18	19	and	and	CCONJ
arees-709	18	20	constructive	constructive	ADJ
arees-709	18	21	criticism	criticism	NOUN
arees-709	18	22	.	.	PUNCT
arees-709	19	1	funding	funding	NOUN
arees-709	19	2	:	:	PUNCT
arees-709	19	3	this	this	DET
arees-709	19	4	research	research	NOUN
arees-709	19	5	has	have	AUX
arees-709	19	6	been	be	AUX
arees-709	19	7	funded	fund	VERB
arees-709	19	8	by	by	ADP
arees-709	19	9	the	the	DET
arees-709	19	10	government	government	NOUN
arees-709	19	11	of	of	ADP
arees-709	19	12	vietnam	vietnam	PROPN
arees-709	19	13	under	under	ADP
arees-709	19	14	the	the	DET
arees-709	19	15	program	program	NOUN
arees-709	19	16	of	of	ADP
arees-709	19	17	scientific	scientific	ADJ
arees-709	19	18	and	and	CCONJ
arees-709	19	19	technological	technological	ADJ
arees-709	19	20	research	research	NOUN
arees-709	19	21	for	for	ADP
arees-709	19	22	environmental	environmental	ADJ
arees-709	19	23	protection	protection	NOUN
arees-709	19	24	and	and	CCONJ
arees-709	19	25	disaster	disaster	NOUN
arees-709	19	26	prevention	prevention	NOUN
arees-709	19	27	(	(	PUNCT
arees-709	19	28	code	code	NOUN
arees-709	19	29	kc08/16	kc08/16	NOUN
arees-709	19	30	-	-	PUNCT
arees-709	19	31	20	20	NUM
arees-709	19	32	)	)	PUNCT
arees-709	19	33	.	.	PUNCT
arees-709	20	1	competing	compete	VERB
arees-709	20	2	interests	interest	NOUN
arees-709	20	3	:	:	PUNCT
arees-709	20	4	the	the	DET
arees-709	20	5	authors	author	NOUN
arees-709	20	6	declare	declare	VERB
arees-709	20	7	that	that	SCONJ
arees-709	20	8	they	they	PRON
arees-709	20	9	have	have	VERB
arees-709	20	10	no	no	DET
arees-709	20	11	conflict	conflict	NOUN
arees-709	20	12	of	of	ADP
arees-709	20	13	interests	interest	NOUN
arees-709	20	14	.	.	PUNCT
arees-709	21	1	transparency	transparency	NOUN
arees-709	21	2	:	:	PUNCT
arees-709	21	3	the	the	DET
arees-709	21	4	authors	author	NOUN
arees-709	21	5	confirm	confirm	VERB
arees-709	21	6	that	that	SCONJ
arees-709	21	7	the	the	DET
arees-709	21	8	manuscript	manuscript	NOUN
arees-709	21	9	is	be	AUX
arees-709	21	10	an	an	DET
arees-709	21	11	honest	honest	ADJ
arees-709	21	12	,	,	PUNCT
arees-709	21	13	accurate	accurate	ADJ
arees-709	21	14	,	,	PUNCT
arees-709	21	15	and	and	CCONJ
arees-709	21	16	transparent	transparent	ADJ
arees-709	21	17	account	account	NOUN
arees-709	21	18	of	of	ADP
arees-709	21	19	the	the	DET
arees-709	21	20	study	study	NOUN
arees-709	21	21	was	be	AUX
arees-709	21	22	reported	report	VERB
arees-709	21	23	;	;	PUNCT
arees-709	21	24	that	that	SCONJ
arees-709	21	25	no	no	DET
arees-709	21	26	vital	vital	ADJ
arees-709	21	27	features	feature	NOUN
arees-709	21	28	of	of	ADP
arees-709	21	29	the	the	DET
arees-709	21	30	study	study	NOUN
arees-709	21	31	have	have	AUX
arees-709	21	32	been	be	AUX
arees-709	21	33	omitted	omit	VERB
arees-709	21	34	;	;	PUNCT
arees-709	21	35	and	and	CCONJ
arees-709	21	36	that	that	SCONJ
arees-709	21	37	any	any	DET
arees-709	21	38	discrepancies	discrepancy	NOUN
arees-709	21	39	from	from	ADP
arees-709	21	40	the	the	DET
arees-709	21	41	study	study	NOUN
arees-709	21	42	as	as	SCONJ
arees-709	21	43	planned	plan	VERB
arees-709	21	44	have	have	AUX
arees-709	21	45	been	be	AUX
arees-709	21	46	explained	explain	VERB
arees-709	21	47	.	.	PUNCT
arees-709	22	1	ethical	ethical	ADJ
arees-709	22	2	:	:	PUNCT
arees-709	22	3	this	this	DET
arees-709	22	4	study	study	NOUN
arees-709	22	5	follows	follow	VERB
arees-709	22	6	all	all	DET
arees-709	22	7	ethical	ethical	ADJ
arees-709	22	8	practices	practice	NOUN
arees-709	22	9	during	during	ADP
arees-709	22	10	writing	writing	NOUN
arees-709	22	11	.	.	PUNCT
arees-709	23	1	contents	content	NOUN
arees-709	23	2	1	1	NUM
arees-709	23	3	.	.	PUNCT
arees-709	24	1	introduction	introduction	NOUN
arees-709	24	2	.........................................................................................................................................................................................	.........................................................................................................................................................................................	NOUN
arees-709	25	1	2	2	NUM
arees-709	25	2	2	2	NUM
arees-709	25	3	.	.	PUNCT
arees-709	25	4	data	datum	NOUN
arees-709	25	5	and	and	CCONJ
arees-709	25	6	methodology	methodology	NOUN
arees-709	25	7	......................................................................................................................................................................	......................................................................................................................................................................	NOUN
arees-709	26	1	2	2	NUM
arees-709	26	2	3	3	NUM
arees-709	26	3	.	.	PUNCT
arees-709	26	4	results	result	NOUN
arees-709	26	5	and	and	CCONJ
arees-709	26	6	discussion	discussion	NOUN
arees-709	26	7	......................................................................................................................................................................	......................................................................................................................................................................	PUNCT
arees-709	27	1	4	4	NUM
arees-709	27	2	4	4	NUM
arees-709	27	3	.	.	PUNCT
arees-709	28	1	conclusions	conclusion	NOUN
arees-709	28	2	..........................................................................................................................................................................................	..........................................................................................................................................................................................	PUNCT
arees-709	28	3	7	7	NUM
arees-709	28	4	references	reference	NOUN
arees-709	28	5	.................................................................................................................................................................................................	.................................................................................................................................................................................................	NOUN
arees-709	28	6	8	8	NUM
arees-709	28	7	http://crossmark.crossref.org/dialog/?doi=10.20448/journal.506.2019.61.1.8&domain=pdf&date_stamp=2017-01-14	http://crossmark.crossref.org/dialog/?doi=10.20448/journal.506.2019.61.1.8&domain=pdf&date_stamp=2017-01-14	NOUN
arees-709	28	8	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	PROPN
arees-709	28	9	http://creativecommons.org/licenses/by/3.0/	http://creativecommons.org/licenses/by/3.0/	PROPN
arees-709	28	10	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	28	11	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	28	12	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	28	13	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	28	14	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	28	15	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	ADV
arees-709	29	1	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	29	2	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	29	3	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	29	4	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	5	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	6	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	ADV
arees-709	29	7	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	29	8	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	29	9	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	29	10	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	11	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	12	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	ADV
arees-709	29	13	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	29	14	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	29	15	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	29	16	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	17	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	18	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	ADV
arees-709	29	19	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	29	20	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	29	21	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	29	22	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	23	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	24	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	ADV
arees-709	29	25	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	29	26	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	29	27	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	29	28	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	29	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	30	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	ADV
arees-709	29	31	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	29	32	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	29	33	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	29	34	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	35	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	36	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	ADV
arees-709	29	37	http://asianonlinejournals.com/index.php/arees/article/view/709	http://asianonlinejournals.com/index.php/arees/article/view/709	PROPN
arees-709	29	38	https://orcid.org/0000-0002-1762-9927	https://orcid.org/0000-0002-1762-9927	PROPN
arees-709	29	39	https://orcid.org/0000-0002-9941-104x	https://orcid.org/0000-0002-9941-104x	PROPN
arees-709	29	40	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	41	https://orcid.org/0000-0001-9945-5766	https://orcid.org/0000-0001-9945-5766	NOUN
arees-709	29	42	https://orcid.org/0000-0002-8614-7833	https://orcid.org/0000-0002-8614-7833	PROPN
arees-709	29	43	asian	asian	ADJ
arees-709	29	44	review	review	NOUN
arees-709	29	45	of	of	ADP
arees-709	29	46	environmental	environmental	ADJ
arees-709	29	47	and	and	CCONJ
arees-709	29	48	earth	earth	NOUN
arees-709	29	49	sciences	science	NOUN
arees-709	29	50	,	,	PUNCT
arees-709	29	51	2019	2019	NUM
arees-709	29	52	,	,	PUNCT
arees-709	29	53	6(1	6(1	NUM
arees-709	29	54	):	):	PUNCT
arees-709	29	55	1	1	NUM
arees-709	29	56	-	-	SYM
arees-709	29	57	8	8	NUM
arees-709	29	58	2	2	NUM
arees-709	29	59	©	©	PROPN
arees-709	29	60	2019	2019	NUM
arees-709	29	61	by	by	ADP
arees-709	29	62	the	the	DET
arees-709	29	63	authors	author	NOUN
arees-709	29	64	;	;	PUNCT
arees-709	29	65	licensee	licensee	PROPN
arees-709	29	66	asian	asian	ADJ
arees-709	29	67	online	online	PROPN
arees-709	29	68	journal	journal	PROPN
arees-709	29	69	publishing	publishing	NOUN
arees-709	29	70	group	group	PROPN
arees-709	29	71	1	1	NUM
arees-709	29	72	.	.	PUNCT
arees-709	29	73	introduction	introduction	NOUN
arees-709	29	74	water	water	NOUN
arees-709	29	75	temperature	temperature	NOUN
arees-709	29	76	plays	play	VERB
arees-709	29	77	an	an	DET
arees-709	29	78	important	important	ADJ
arees-709	29	79	role	role	NOUN
arees-709	29	80	in	in	ADP
arees-709	29	81	aquatic	aquatic	ADJ
arees-709	29	82	life	life	NOUN
arees-709	29	83	,	,	PUNCT
arees-709	29	84	including	include	VERB
arees-709	29	85	aquaculture	aquaculture	NOUN
arees-709	29	86	species	specie	NOUN
arees-709	29	87	[	[	X
arees-709	29	88	1	1	NUM
arees-709	29	89	,	,	PUNCT
arees-709	29	90	2	2	NUM
arees-709	29	91	]	]	PUNCT
arees-709	29	92	.	.	PUNCT
arees-709	30	1	the	the	DET
arees-709	30	2	water	water	NOUN
arees-709	30	3	temperature	temperature	NOUN
arees-709	30	4	affects	affect	VERB
arees-709	30	5	other	other	ADJ
arees-709	30	6	environmental	environmental	ADJ
arees-709	30	7	parameters	parameter	NOUN
arees-709	30	8	such	such	ADJ
arees-709	30	9	as	as	ADP
arees-709	30	10	do	do	AUX
arees-709	30	11	,	,	PUNCT
arees-709	30	12	bod	bod	ADJ
arees-709	30	13	,	,	PUNCT
arees-709	30	14	algae	algae	NOUN
arees-709	30	15	growth	growth	NOUN
arees-709	30	16	,	,	PUNCT
arees-709	30	17	etc	etc	X
arees-709	30	18	.	.	X
arees-709	30	19	,	,	PUNCT
arees-709	30	20	and	and	CCONJ
arees-709	30	21	gets	get	VERB
arees-709	30	22	vulnerable	vulnerable	ADJ
arees-709	30	23	to	to	ADP
arees-709	30	24	pathogenic	pathogenic	ADJ
arees-709	30	25	bacteria	bacteria	NOUN
arees-709	30	26	.	.	PUNCT
arees-709	31	1	there	there	PRON
arees-709	31	2	are	be	VERB
arees-709	31	3	many	many	ADJ
arees-709	31	4	factors	factor	NOUN
arees-709	31	5	affecting	affect	VERB
arees-709	31	6	water	water	NOUN
arees-709	31	7	temperature	temperature	NOUN
arees-709	31	8	such	such	ADJ
arees-709	31	9	as	as	ADP
arees-709	31	10	atmospheric	atmospheric	ADJ
arees-709	31	11	conditions	condition	NOUN
arees-709	31	12	,	,	PUNCT
arees-709	31	13	topography	topography	NOUN
arees-709	31	14	and	and	CCONJ
arees-709	31	15	water	water	NOUN
arees-709	31	16	flow	flow	NOUN
arees-709	31	17	[	[	X
arees-709	31	18	3	3	NUM
arees-709	31	19	]	]	PUNCT
arees-709	31	20	.	.	PUNCT
arees-709	32	1	among	among	ADP
arees-709	32	2	atmospheric	atmospheric	ADJ
arees-709	32	3	factors	factor	NOUN
arees-709	32	4	(	(	PUNCT
arees-709	32	5	solar	solar	ADJ
arees-709	32	6	radiation	radiation	NOUN
arees-709	32	7	,	,	PUNCT
arees-709	32	8	air	air	NOUN
arees-709	32	9	temperature	temperature	NOUN
arees-709	32	10	,	,	PUNCT
arees-709	32	11	wind	wind	NOUN
arees-709	32	12	speed	speed	NOUN
arees-709	32	13	,	,	PUNCT
arees-709	32	14	humidity	humidity	NOUN
arees-709	32	15	etc	etc	X
arees-709	32	16	.	.	X
arees-709	32	17	)	)	PUNCT
arees-709	32	18	,	,	PUNCT
arees-709	32	19	air	air	NOUN
arees-709	32	20	temperature	temperature	NOUN
arees-709	32	21	is	be	AUX
arees-709	32	22	the	the	DET
arees-709	32	23	most	most	ADJ
arees-709	32	24	factor	factor	NOUN
arees-709	32	25	affecting	affect	VERB
arees-709	32	26	the	the	DET
arees-709	32	27	variation	variation	NOUN
arees-709	32	28	in	in	ADP
arees-709	32	29	surface	surface	NOUN
arees-709	32	30	water	water	NOUN
arees-709	32	31	temperature	temperature	NOUN
arees-709	32	32	[	[	X
arees-709	32	33	4	4	X
arees-709	32	34	]	]	PUNCT
arees-709	32	35	that	that	PRON
arees-709	32	36	lead	lead	VERB
arees-709	32	37	to	to	ADP
arees-709	32	38	series	series	NOUN
arees-709	32	39	of	of	ADP
arees-709	32	40	water	water	NOUN
arees-709	32	41	condition	condition	NOUN
arees-709	32	42	change	change	NOUN
arees-709	32	43	.	.	PUNCT
arees-709	33	1	in	in	ADP
arees-709	33	2	the	the	DET
arees-709	33	3	northern	northern	ADJ
arees-709	33	4	coastal	coastal	ADJ
arees-709	33	5	region	region	NOUN
arees-709	33	6	of	of	ADP
arees-709	33	7	vietnam	vietnam	PROPN
arees-709	33	8	,	,	PUNCT
arees-709	33	9	beside	beside	ADP
arees-709	33	10	natural	natural	ADJ
arees-709	33	11	disasters	disaster	NOUN
arees-709	33	12	which	which	PRON
arees-709	33	13	directly	directly	ADV
arees-709	33	14	affect	affect	VERB
arees-709	33	15	fisheries	fishery	NOUN
arees-709	33	16	such	such	ADJ
arees-709	33	17	as	as	ADP
arees-709	33	18	storms	storm	NOUN
arees-709	33	19	,	,	PUNCT
arees-709	33	20	floods	flood	NOUN
arees-709	33	21	.etc	.etc	PUNCT
arees-709	33	22	.	.	PUNCT
arees-709	34	1	every	every	DET
arees-709	34	2	year	year	NOUN
arees-709	34	3	,	,	PUNCT
arees-709	34	4	the	the	DET
arees-709	34	5	air	air	NOUN
arees-709	34	6	temperature	temperature	NOUN
arees-709	34	7	in	in	ADP
arees-709	34	8	summer	summer	NOUN
arees-709	34	9	can	can	AUX
arees-709	34	10	reach	reach	VERB
arees-709	34	11	39	39	NUM
arees-709	34	12	-	-	PUNCT
arees-709	34	13	400c	400c	NUM
arees-709	34	14	with	with	ADP
arees-709	34	15	hot	hot	ADJ
arees-709	34	16	temperature	temperature	NOUN
arees-709	34	17	in	in	ADP
arees-709	34	18	long	long	ADJ
arees-709	34	19	duration	duration	NOUN
arees-709	34	20	,	,	PUNCT
arees-709	34	21	which	which	PRON
arees-709	34	22	makes	make	VERB
arees-709	34	23	the	the	DET
arees-709	34	24	water	water	NOUN
arees-709	34	25	temperature	temperature	NOUN
arees-709	34	26	too	too	ADV
arees-709	34	27	high	high	ADJ
arees-709	34	28	for	for	ADP
arees-709	34	29	the	the	DET
arees-709	34	30	tolerance	tolerance	NOUN
arees-709	34	31	of	of	ADP
arees-709	34	32	aquatic	aquatic	ADJ
arees-709	34	33	species	specie	NOUN
arees-709	34	34	.	.	PUNCT
arees-709	35	1	on	on	ADP
arees-709	35	2	the	the	DET
arees-709	35	3	other	other	ADJ
arees-709	35	4	hand	hand	NOUN
arees-709	35	5	,	,	PUNCT
arees-709	35	6	when	when	SCONJ
arees-709	35	7	the	the	DET
arees-709	35	8	water	water	NOUN
arees-709	35	9	temperature	temperature	NOUN
arees-709	35	10	rises	rise	NOUN
arees-709	35	11	,	,	PUNCT
arees-709	35	12	aquatic	aquatic	ADJ
arees-709	35	13	species	specie	NOUN
arees-709	35	14	tend	tend	VERB
arees-709	35	15	to	to	PART
arees-709	35	16	be	be	AUX
arees-709	35	17	active	active	ADJ
arees-709	35	18	in	in	ADP
arees-709	35	19	water	water	NOUN
arees-709	35	20	of	of	ADP
arees-709	35	21	deeper	deep	ADJ
arees-709	35	22	level	level	NOUN
arees-709	35	23	,	,	PUNCT
arees-709	35	24	leading	lead	VERB
arees-709	35	25	to	to	ADP
arees-709	35	26	an	an	DET
arees-709	35	27	increase	increase	NOUN
arees-709	35	28	in	in	ADP
arees-709	35	29	oxygen	oxygen	NOUN
arees-709	35	30	demand	demand	NOUN
arees-709	35	31	[	[	X
arees-709	35	32	4	4	X
arees-709	35	33	]	]	PUNCT
arees-709	35	34	increasing	increase	VERB
arees-709	35	35	the	the	DET
arees-709	35	36	risk	risk	NOUN
arees-709	35	37	for	for	ADP
arees-709	35	38	intensive	intensive	ADJ
arees-709	35	39	aquaculture	aquaculture	NOUN
arees-709	35	40	ponds	pond	NOUN
arees-709	35	41	,	,	PUNCT
arees-709	35	42	so	so	CCONJ
arees-709	35	43	temperature	temperature	NOUN
arees-709	35	44	is	be	AUX
arees-709	35	45	a	a	DET
arees-709	35	46	particularly	particularly	ADV
arees-709	35	47	important	important	ADJ
arees-709	35	48	factor	factor	NOUN
arees-709	35	49	threatening	threaten	VERB
arees-709	35	50	the	the	DET
arees-709	35	51	stable	stable	ADJ
arees-709	35	52	development	development	NOUN
arees-709	35	53	of	of	ADP
arees-709	35	54	aquaculture	aquaculture	NOUN
arees-709	35	55	sector	sector	NOUN
arees-709	35	56	.	.	PUNCT
arees-709	36	1	therefore	therefore	ADV
arees-709	36	2	,	,	PUNCT
arees-709	36	3	when	when	SCONJ
arees-709	36	4	studying	study	VERB
arees-709	36	5	disaster	disaster	NOUN
arees-709	36	6	risks	risk	NOUN
arees-709	36	7	for	for	ADP
arees-709	36	8	aquaculture	aquaculture	NOUN
arees-709	36	9	,	,	PUNCT
arees-709	36	10	it	it	PRON
arees-709	36	11	is	be	AUX
arees-709	36	12	indispensible	indispensible	ADJ
arees-709	36	13	to	to	PART
arees-709	36	14	consider	consider	VERB
arees-709	36	15	the	the	DET
arees-709	36	16	risks	risk	NOUN
arees-709	36	17	of	of	ADP
arees-709	36	18	maximum	maximum	ADJ
arees-709	36	19	daily	daily	ADJ
arees-709	36	20	water	water	NOUN
arees-709	36	21	temperature	temperature	NOUN
arees-709	36	22	to	to	PART
arees-709	36	23	determine	determine	VERB
arees-709	36	24	the	the	DET
arees-709	36	25	viability	viability	NOUN
arees-709	36	26	of	of	ADP
arees-709	36	27	aquatic	aquatic	ADJ
arees-709	36	28	species	specie	NOUN
arees-709	36	29	[	[	X
arees-709	36	30	5	5	NUM
arees-709	36	31	]	]	PUNCT
arees-709	36	32	.	.	PUNCT
arees-709	37	1	however	however	ADV
arees-709	37	2	,	,	PUNCT
arees-709	37	3	water	water	NOUN
arees-709	37	4	temperature	temperature	NOUN
arees-709	37	5	prediction	prediction	NOUN
arees-709	37	6	is	be	AUX
arees-709	37	7	still	still	ADV
arees-709	37	8	a	a	DET
arees-709	37	9	complexity	complexity	NOUN
arees-709	37	10	[	[	X
arees-709	37	11	4	4	X
arees-709	37	12	]	]	PUNCT
arees-709	37	13	because	because	SCONJ
arees-709	37	14	water	water	NOUN
arees-709	37	15	temperature	temperature	NOUN
arees-709	37	16	depends	depend	VERB
arees-709	37	17	on	on	ADP
arees-709	37	18	many	many	ADJ
arees-709	37	19	factors	factor	NOUN
arees-709	37	20	.	.	PUNCT
arees-709	38	1	there	there	PRON
arees-709	38	2	are	be	VERB
arees-709	38	3	number	number	NOUN
arees-709	38	4	of	of	ADP
arees-709	38	5	different	different	ADJ
arees-709	38	6	application	application	NOUN
arees-709	38	7	for	for	ADP
arees-709	38	8	water	water	NOUN
arees-709	38	9	temperature	temperature	NOUN
arees-709	38	10	predition	predition	NOUN
arees-709	38	11	model	model	NOUN
arees-709	38	12	loubna	loubna	PROPN
arees-709	38	13	,	,	PUNCT
arees-709	38	14	et	et	PROPN
arees-709	38	15	al	al	PROPN
arees-709	38	16	.	.	PUNCT
arees-709	39	1	[	[	X
arees-709	39	2	6	6	NUM
arees-709	39	3	]	]	PUNCT
arees-709	39	4	.	.	PUNCT
arees-709	40	1	caissie	caissie	PROPN
arees-709	41	1	[	[	X
arees-709	41	2	3	3	NUM
arees-709	41	3	]	]	PUNCT
arees-709	41	4	divided	divide	VERB
arees-709	41	5	into	into	ADP
arees-709	41	6	3	3	NUM
arees-709	41	7	main	main	ADJ
arees-709	41	8	categories	category	NOUN
arees-709	41	9	:	:	PUNCT
arees-709	41	10	regression	regression	NOUN
arees-709	41	11	,	,	PUNCT
arees-709	41	12	stochastic	stochastic	NOUN
arees-709	41	13	,	,	PUNCT
arees-709	41	14	and	and	CCONJ
arees-709	41	15	deterministic	deterministic	ADJ
arees-709	41	16	models	model	NOUN
arees-709	41	17	.	.	PUNCT
arees-709	42	1	otherwise	otherwise	ADV
arees-709	42	2	,	,	PUNCT
arees-709	42	3	caissie	caissie	VERB
arees-709	43	1	[	[	X
arees-709	43	2	3	3	NUM
arees-709	43	3	]	]	PUNCT
arees-709	43	4	and	and	CCONJ
arees-709	43	5	zhu	zhu	PROPN
arees-709	43	6	,	,	PUNCT
arees-709	43	7	et	et	PROPN
arees-709	43	8	al	al	PROPN
arees-709	43	9	.	.	PUNCT
arees-709	44	1	[	[	X
arees-709	44	2	2	2	NUM
arees-709	44	3	]	]	PUNCT
arees-709	44	4	gave	give	VERB
arees-709	44	5	two	two	NUM
arees-709	44	6	categories	category	NOUN
arees-709	44	7	deterministic	deterministic	ADJ
arees-709	44	8	and	and	CCONJ
arees-709	44	9	statistical	statistical	ADJ
arees-709	44	10	models	model	NOUN
arees-709	44	11	that	that	PRON
arees-709	44	12	they	they	PRON
arees-709	44	13	have	have	VERB
arees-709	44	14	advantages	advantage	NOUN
arees-709	44	15	and	and	CCONJ
arees-709	44	16	drawback	drawback	NOUN
arees-709	44	17	.	.	PUNCT
arees-709	45	1	the	the	DET
arees-709	45	2	deterministic	deterministic	ADJ
arees-709	45	3	model	model	NOUN
arees-709	45	4	applies	apply	VERB
arees-709	45	5	simulations	simulation	NOUN
arees-709	45	6	of	of	ADP
arees-709	45	7	water	water	NOUN
arees-709	45	8	temperature	temperature	NOUN
arees-709	45	9	using	use	VERB
arees-709	45	10	an	an	DET
arees-709	45	11	approach	approach	NOUN
arees-709	45	12	that	that	PRON
arees-709	45	13	relates	relate	VERB
arees-709	45	14	to	to	ADP
arees-709	45	15	the	the	DET
arees-709	45	16	total	total	ADJ
arees-709	45	17	amount	amount	NOUN
arees-709	45	18	of	of	ADP
arees-709	45	19	solar	solar	ADJ
arees-709	45	20	energy	energy	NOUN
arees-709	45	21	reaching	reach	VERB
arees-709	45	22	the	the	DET
arees-709	45	23	earth	earth	NOUN
arees-709	45	24	and	and	CCONJ
arees-709	45	25	the	the	DET
arees-709	45	26	interrelated	interrelated	ADJ
arees-709	45	27	factors	factor	NOUN
arees-709	45	28	for	for	ADP
arees-709	45	29	determining	determine	VERB
arees-709	45	30	water	water	NOUN
arees-709	45	31	temperature	temperature	NOUN
arees-709	45	32	(	(	PUNCT
arees-709	45	33	eg	eg	NOUN
arees-709	45	34	sinokrot	sinokrot	PROPN
arees-709	45	35	and	and	CCONJ
arees-709	45	36	stefan	stefan	PROPN
arees-709	46	1	[	[	X
arees-709	46	2	7	7	NUM
arees-709	46	3	]	]	PUNCT
arees-709	46	4	;	;	PUNCT
arees-709	46	5	webb	webb	NOUN
arees-709	46	6	and	and	CCONJ
arees-709	46	7	nobilis	nobili	NOUN
arees-709	47	1	[	[	X
arees-709	47	2	8	8	NUM
arees-709	47	3	]	]	PUNCT
arees-709	47	4	)	)	PUNCT
arees-709	47	5	.	.	PUNCT
arees-709	48	1	this	this	DET
arees-709	48	2	approach	approach	NOUN
arees-709	48	3	is	be	AUX
arees-709	48	4	often	often	ADV
arees-709	48	5	impractical	impractical	ADJ
arees-709	48	6	,	,	PUNCT
arees-709	48	7	complex	complex	ADJ
arees-709	48	8	and	and	CCONJ
arees-709	48	9	time	time	NOUN
arees-709	48	10	-	-	PUNCT
arees-709	48	11	consuming	consume	VERB
arees-709	48	12	in	in	ADP
arees-709	48	13	collecting	collect	VERB
arees-709	48	14	and	and	CCONJ
arees-709	48	15	processing	processing	NOUN
arees-709	48	16	input	input	NOUN
arees-709	48	17	data	datum	NOUN
arees-709	48	18	of	of	ADP
arees-709	48	19	many	many	ADJ
arees-709	48	20	of	of	ADP
arees-709	48	21	the	the	DET
arees-709	48	22	explanatory	explanatory	ADJ
arees-709	48	23	variables	variable	NOUN
arees-709	48	24	which	which	PRON
arees-709	48	25	are	be	AUX
arees-709	48	26	often	often	ADV
arees-709	48	27	difficult	difficult	ADJ
arees-709	48	28	to	to	PART
arees-709	48	29	collect	collect	VERB
arees-709	48	30	such	such	ADJ
arees-709	48	31	as	as	ADP
arees-709	48	32	solar	solar	ADJ
arees-709	48	33	radiation	radiation	NOUN
arees-709	48	34	,	,	PUNCT
arees-709	48	35	wind	wind	NOUN
arees-709	48	36	,	,	PUNCT
arees-709	48	37	atmospheric	atmospheric	ADJ
arees-709	48	38	energy	energy	NOUN
arees-709	48	39	[	[	X
arees-709	48	40	4	4	NUM
arees-709	48	41	,	,	PUNCT
arees-709	48	42	6	6	NUM
arees-709	48	43	]	]	PUNCT
arees-709	48	44	.	.	PUNCT
arees-709	49	1	statistical	statistical	ADJ
arees-709	49	2	models	model	NOUN
arees-709	49	3	could	could	AUX
arees-709	49	4	be	be	AUX
arees-709	49	5	classified	classify	VERB
arees-709	49	6	in	in	ADP
arees-709	49	7	two	two	NUM
arees-709	49	8	categories	category	NOUN
arees-709	49	9	including	include	VERB
arees-709	49	10	parametric	parametric	ADJ
arees-709	49	11	and	and	CCONJ
arees-709	49	12	non	non	ADJ
arees-709	49	13	-	-	ADJ
arees-709	49	14	parametric	parametric	ADJ
arees-709	49	15	models	model	NOUN
arees-709	49	16	.	.	PUNCT
arees-709	50	1	parametric	parametric	ADJ
arees-709	50	2	models	model	NOUN
arees-709	50	3	can	can	AUX
arees-709	50	4	also	also	ADV
arees-709	50	5	be	be	AUX
arees-709	50	6	decomposed	decompose	VERB
arees-709	50	7	into	into	ADP
arees-709	50	8	regression	regression	NOUN
arees-709	50	9	and	and	CCONJ
arees-709	50	10	stochatic	stochatic	ADJ
arees-709	50	11	models	model	NOUN
arees-709	50	12	.	.	PUNCT
arees-709	51	1	the	the	DET
arees-709	51	2	regression	regression	NOUN
arees-709	51	3	model	model	NOUN
arees-709	51	4	simulating	simulate	VERB
arees-709	51	5	water	water	NOUN
arees-709	51	6	temperature	temperature	NOUN
arees-709	51	7	based	base	VERB
arees-709	51	8	on	on	ADP
arees-709	51	9	air	air	NOUN
arees-709	51	10	temperature	temperature	NOUN
arees-709	51	11	is	be	AUX
arees-709	51	12	commonly	commonly	ADV
arees-709	51	13	used	use	VERB
arees-709	51	14	in	in	ADP
arees-709	51	15	many	many	ADJ
arees-709	51	16	studies	study	NOUN
arees-709	51	17	due	due	ADP
arees-709	51	18	to	to	ADP
arees-709	51	19	the	the	DET
arees-709	51	20	simplicity	simplicity	NOUN
arees-709	51	21	of	of	ADP
arees-709	51	22	the	the	DET
arees-709	51	23	collected	collect	VERB
arees-709	51	24	data	datum	NOUN
arees-709	51	25	and	and	CCONJ
arees-709	51	26	applied	apply	VERB
arees-709	51	27	for	for	ADP
arees-709	51	28	weekly	weekly	ADJ
arees-709	51	29	,	,	PUNCT
arees-709	51	30	monthly	monthly	ADJ
arees-709	51	31	and	and	CCONJ
arees-709	51	32	annual	annual	ADJ
arees-709	51	33	time	time	NOUN
arees-709	51	34	steps	step	NOUN
arees-709	51	35	of	of	ADP
arees-709	51	36	data	datum	NOUN
arees-709	51	37	.	.	PUNCT
arees-709	52	1	the	the	DET
arees-709	52	2	regression	regression	NOUN
arees-709	52	3	models	model	NOUN
arees-709	52	4	including	include	VERB
arees-709	52	5	:	:	PUNCT
arees-709	52	6	single	single	ADJ
arees-709	52	7	and	and	CCONJ
arees-709	52	8	multi	multi	ADJ
arees-709	52	9	-	-	ADJ
arees-709	52	10	variabe	variabe	ADJ
arees-709	52	11	linear	linear	ADJ
arees-709	52	12	regression	regression	NOUN
arees-709	52	13	or	or	CCONJ
arees-709	52	14	nonlinear	nonlinear	ADJ
arees-709	52	15	regression	regression	NOUN
arees-709	52	16	.	.	PUNCT
arees-709	53	1	simple	simple	ADJ
arees-709	53	2	linear	linear	ADJ
arees-709	53	3	regression	regression	NOUN
arees-709	53	4	using	use	VERB
arees-709	53	5	air	air	NOUN
arees-709	53	6	temperature	temperature	NOUN
arees-709	53	7	(	(	PUNCT
arees-709	53	8	monthly	monthly	ADJ
arees-709	53	9	or	or	CCONJ
arees-709	53	10	weekly	weekly	ADJ
arees-709	53	11	data	datum	NOUN
arees-709	53	12	)	)	PUNCT
arees-709	53	13	is	be	AUX
arees-709	53	14	an	an	DET
arees-709	53	15	explanatory	explanatory	ADJ
arees-709	53	16	variables	variable	NOUN
arees-709	53	17	to	to	PART
arees-709	53	18	determine	determine	VERB
arees-709	53	19	water	water	NOUN
arees-709	53	20	temperature	temperature	NOUN
arees-709	53	21	[	[	X
arees-709	53	22	9	9	NUM
arees-709	53	23	]	]	PUNCT
arees-709	53	24	.	.	PUNCT
arees-709	54	1	the	the	DET
arees-709	54	2	nonlinear	nonlinear	ADJ
arees-709	54	3	regression	regression	NOUN
arees-709	54	4	model	model	NOUN
arees-709	54	5	proposed	propose	VERB
arees-709	54	6	by	by	ADP
arees-709	54	7	mohseni	mohseni	NOUN
arees-709	54	8	,	,	PUNCT
arees-709	54	9	et	et	PROPN
arees-709	54	10	al	al	PROPN
arees-709	54	11	.	.	PUNCT
arees-709	55	1	[	[	X
arees-709	55	2	10	10	NUM
arees-709	55	3	]	]	PUNCT
arees-709	55	4	provided	provide	VERB
arees-709	55	5	the	the	DET
arees-709	55	6	base	base	NOUN
arees-709	55	7	to	to	ADP
arees-709	55	8	many	many	ADJ
arees-709	55	9	successful	successful	ADJ
arees-709	55	10	studies	study	NOUN
arees-709	55	11	[	[	X
arees-709	55	12	11	11	NUM
arees-709	55	13	,	,	PUNCT
arees-709	55	14	12	12	NUM
arees-709	55	15	]	]	PUNCT
arees-709	55	16	.	.	PUNCT
arees-709	56	1	however	however	ADV
arees-709	56	2	,	,	PUNCT
arees-709	56	3	regression	regression	NOUN
arees-709	56	4	simulation	simulation	NOUN
arees-709	56	5	(	(	PUNCT
arees-709	56	6	linear	linear	ADJ
arees-709	56	7	or	or	CCONJ
arees-709	56	8	nonlinear	nonlinear	ADJ
arees-709	56	9	)	)	PUNCT
arees-709	56	10	is	be	AUX
arees-709	56	11	less	less	ADV
arees-709	56	12	suitable	suitable	ADJ
arees-709	56	13	to	to	PART
arees-709	56	14	apply	apply	VERB
arees-709	56	15	for	for	ADP
arees-709	56	16	shorter	short	ADJ
arees-709	56	17	time	time	NOUN
arees-709	56	18	steps	step	NOUN
arees-709	56	19	such	such	ADJ
arees-709	56	20	as	as	ADP
arees-709	56	21	daily	daily	ADJ
arees-709	56	22	data	datum	NOUN
arees-709	56	23	(	(	PUNCT
arees-709	56	24	due	due	ADP
arees-709	56	25	to	to	ADP
arees-709	56	26	autocorrelation	autocorrelation	NOUN
arees-709	56	27	in	in	ADP
arees-709	56	28	time	time	NOUN
arees-709	56	29	series	series	NOUN
arees-709	56	30	of	of	ADP
arees-709	56	31	water	water	NOUN
arees-709	56	32	temperature	temperature	NOUN
arees-709	56	33	)	)	PUNCT
arees-709	57	1	[	[	X
arees-709	57	2	6	6	NUM
arees-709	57	3	]	]	PUNCT
arees-709	57	4	.	.	PUNCT
arees-709	58	1	the	the	DET
arees-709	58	2	stochastic	stochastic	ADJ
arees-709	58	3	model	model	NOUN
arees-709	58	4	[	[	X
arees-709	58	5	13	13	NUM
arees-709	58	6	,	,	PUNCT
arees-709	58	7	14	14	NUM
arees-709	58	8	]	]	PUNCT
arees-709	58	9	was	be	AUX
arees-709	58	10	developed	develop	VERB
arees-709	58	11	from	from	ADP
arees-709	58	12	the	the	DET
arees-709	58	13	regression	regression	NOUN
arees-709	58	14	model	model	NOUN
arees-709	58	15	,	,	PUNCT
arees-709	58	16	proposed	propose	VERB
arees-709	58	17	by	by	ADP
arees-709	58	18	kothandaraman	kothandaraman	NOUN
arees-709	58	19	[	[	X
arees-709	58	20	15	15	NUM
arees-709	58	21	]	]	PUNCT
arees-709	58	22	based	base	VERB
arees-709	58	23	on	on	ADP
arees-709	58	24	statistics	statistic	NOUN
arees-709	58	25	of	of	ADP
arees-709	58	26	continuous	continuous	ADJ
arees-709	58	27	time	time	NOUN
arees-709	58	28	series	series	NOUN
arees-709	58	29	of	of	ADP
arees-709	58	30	air	air	NOUN
arees-709	58	31	temperature	temperature	NOUN
arees-709	58	32	and	and	CCONJ
arees-709	58	33	water	water	NOUN
arees-709	58	34	temperature	temperature	NOUN
arees-709	58	35	to	to	PART
arees-709	58	36	act	act	VERB
arees-709	58	37	as	as	ADP
arees-709	58	38	a	a	DET
arees-709	58	39	basis	basis	NOUN
arees-709	58	40	for	for	ADP
arees-709	58	41	defining	define	VERB
arees-709	58	42	relationships	relationship	NOUN
arees-709	58	43	through	through	ADP
arees-709	58	44	parameters	parameter	NOUN
arees-709	58	45	.	.	PUNCT
arees-709	59	1	the	the	DET
arees-709	59	2	stochastic	stochastic	ADJ
arees-709	59	3	model	model	NOUN
arees-709	59	4	is	be	AUX
arees-709	59	5	generally	generally	ADV
arees-709	59	6	applied	apply	VERB
arees-709	59	7	to	to	ADP
arees-709	59	8	relatively	relatively	ADV
arees-709	59	9	short	short	ADJ
arees-709	59	10	time	time	NOUN
arees-709	59	11	data	datum	NOUN
arees-709	59	12	(	(	PUNCT
arees-709	59	13	hourly	hourly	ADJ
arees-709	59	14	or	or	CCONJ
arees-709	59	15	daily	daily	ADJ
arees-709	59	16	data	datum	NOUN
arees-709	59	17	)	)	PUNCT
arees-709	59	18	and	and	CCONJ
arees-709	59	19	takes	take	VERB
arees-709	59	20	into	into	ADP
arees-709	59	21	account	account	NOUN
arees-709	59	22	the	the	DET
arees-709	59	23	time	time	NOUN
arees-709	59	24	lag	lag	NOUN
arees-709	59	25	of	of	ADP
arees-709	59	26	the	the	DET
arees-709	59	27	relevant	relevant	ADJ
arees-709	59	28	factors	factor	NOUN
arees-709	59	29	.	.	PUNCT
arees-709	60	1	none	none	NOUN
arees-709	60	2	-	-	PUNCT
arees-709	60	3	parametric	parametric	NOUN
arees-709	60	4	models	model	NOUN
arees-709	60	5	(	(	PUNCT
arees-709	60	6	k	k	X
arees-709	60	7	-	-	PUNCT
arees-709	60	8	nearest	near	ADJ
arees-709	60	9	neighbour	neighbour	NOUN
arees-709	60	10	,	,	PUNCT
arees-709	60	11	artificial	artificial	ADJ
arees-709	60	12	neural	neural	ADJ
arees-709	60	13	network	network	NOUN
arees-709	60	14	model	model	PROPN
arees-709	60	15	-	-	PUNCT
arees-709	60	16	ann	ann	PROPN
arees-709	60	17	,	,	PUNCT
arees-709	60	18	etc	etc	X
arees-709	60	19	.	.	X
arees-709	60	20	)	)	PUNCT
arees-709	60	21	use	use	VERB
arees-709	60	22	the	the	DET
arees-709	60	23	structure	structure	NOUN
arees-709	60	24	of	of	ADP
arees-709	60	25	availble	availble	ADJ
arees-709	60	26	data	datum	NOUN
arees-709	61	1	[	[	X
arees-709	61	2	6	6	NUM
arees-709	61	3	]	]	PUNCT
arees-709	61	4	.	.	PUNCT
arees-709	62	1	artificial	artificial	ADJ
arees-709	62	2	neural	neural	ADJ
arees-709	62	3	network	network	NOUN
arees-709	62	4	model	model	NOUN
arees-709	62	5	(	(	PUNCT
arees-709	62	6	ann	ann	PROPN
arees-709	62	7	)	)	PUNCT
arees-709	62	8	has	have	AUX
arees-709	62	9	recently	recently	ADV
arees-709	62	10	been	be	AUX
arees-709	62	11	developed	develop	VERB
arees-709	62	12	with	with	ADP
arees-709	62	13	3	3	NUM
arees-709	62	14	basic	basic	ADJ
arees-709	62	15	layers	layer	NOUN
arees-709	62	16	of	of	ADP
arees-709	62	17	multi	multi	ADJ
arees-709	62	18	-	-	ADJ
arees-709	62	19	layer	layer	ADJ
arees-709	62	20	backpropagation	backpropagation	NOUN
arees-709	62	21	network	network	NOUN
arees-709	62	22	model	model	NOUN
arees-709	62	23	[	[	X
arees-709	62	24	2	2	NUM
arees-709	62	25	,	,	PUNCT
arees-709	62	26	4	4	NUM
arees-709	62	27	]	]	PUNCT
arees-709	62	28	:	:	PUNCT
arees-709	62	29	the	the	DET
arees-709	62	30	input	input	NOUN
arees-709	62	31	layer	layer	NOUN
arees-709	62	32	,	,	PUNCT
arees-709	62	33	one	one	NUM
arees-709	62	34	or	or	CCONJ
arees-709	62	35	more	more	ADV
arees-709	62	36	hidden	hidden	ADJ
arees-709	62	37	layers	layer	NOUN
arees-709	62	38	,	,	PUNCT
arees-709	62	39	and	and	CCONJ
arees-709	62	40	the	the	DET
arees-709	62	41	output	output	NOUN
arees-709	62	42	layer	layer	NOUN
arees-709	62	43	.	.	PUNCT
arees-709	63	1	the	the	DET
arees-709	63	2	model	model	NOUN
arees-709	63	3	always	always	ADV
arees-709	63	4	uses	use	VERB
arees-709	63	5	input	input	NOUN
arees-709	63	6	data	datum	NOUN
arees-709	63	7	divided	divide	VERB
arees-709	63	8	into	into	ADP
arees-709	63	9	two	two	NUM
arees-709	63	10	categories	category	NOUN
arees-709	63	11	,	,	PUNCT
arees-709	63	12	namely	namely	ADV
arees-709	63	13	training	training	NOUN
arees-709	63	14	and	and	CCONJ
arees-709	63	15	testing	testing	NOUN
arees-709	63	16	data	datum	NOUN
arees-709	63	17	set	set	VERB
arees-709	63	18	.	.	PUNCT
arees-709	64	1	application	application	NOUN
arees-709	64	2	of	of	ADP
arees-709	64	3	ann	ann	PROPN
arees-709	64	4	method	method	NOUN
arees-709	64	5	has	have	AUX
arees-709	64	6	been	be	AUX
arees-709	64	7	successfully	successfully	ADV
arees-709	64	8	proved	prove	VERB
arees-709	64	9	by	by	ADP
arees-709	64	10	some	some	DET
arees-709	64	11	studies	study	NOUN
arees-709	64	12	for	for	ADP
arees-709	64	13	water	water	NOUN
arees-709	64	14	temperature	temperature	NOUN
arees-709	64	15	predition	predition	NOUN
arees-709	64	16	(	(	PUNCT
arees-709	64	17	ex	ex	NOUN
arees-709	64	18	:	:	PUNCT
arees-709	64	19	anamarija	anamarija	NOUN
arees-709	65	1	[	[	X
arees-709	65	2	4	4	NUM
arees-709	65	3	]	]	PUNCT
arees-709	65	4	;	;	PUNCT
arees-709	65	5	marijana	marijana	PROPN
arees-709	65	6	,	,	PUNCT
arees-709	65	7	et	et	PROPN
arees-709	65	8	al	al	PROPN
arees-709	65	9	.	.	PUNCT
arees-709	66	1	[	[	X
arees-709	66	2	16	16	NUM
arees-709	66	3	]	]	X
arees-709	66	4	;	;	PUNCT
arees-709	66	5	sahoo	sahoo	PROPN
arees-709	66	6	,	,	PUNCT
arees-709	66	7	et	et	PROPN
arees-709	66	8	al	al	PROPN
arees-709	66	9	.	.	PUNCT
arees-709	67	1	[	[	X
arees-709	67	2	17	17	NUM
arees-709	67	3	]	]	X
arees-709	67	4	;	;	PUNCT
arees-709	67	5	zhu	zhu	PROPN
arees-709	67	6	,	,	PUNCT
arees-709	67	7	et	et	PROPN
arees-709	67	8	al	al	PROPN
arees-709	67	9	.	.	PUNCT
arees-709	68	1	[	[	X
arees-709	68	2	2	2	NUM
arees-709	68	3	]	]	PUNCT
arees-709	68	4	;	;	PUNCT
arees-709	68	5	deweber	deweber	NOUN
arees-709	68	6	and	and	CCONJ
arees-709	68	7	wagner	wagner	PROPN
arees-709	69	1	[	[	X
arees-709	69	2	18	18	NUM
arees-709	69	3	]	]	PUNCT
arees-709	69	4	)	)	PUNCT
arees-709	69	5	.	.	PUNCT
arees-709	70	1	however	however	ADV
arees-709	70	2	,	,	PUNCT
arees-709	70	3	the	the	DET
arees-709	70	4	comparison	comparison	NOUN
arees-709	70	5	bettween	bettween	NOUN
arees-709	70	6	models	model	NOUN
arees-709	70	7	showed	show	VERB
arees-709	70	8	,	,	PUNCT
arees-709	70	9	in	in	ADP
arees-709	70	10	some	some	DET
arees-709	70	11	cases	case	NOUN
arees-709	70	12	ann	ann	PROPN
arees-709	70	13	models	model	NOUN
arees-709	70	14	provided	provide	VERB
arees-709	70	15	better	well	ADJ
arees-709	70	16	results	result	NOUN
arees-709	70	17	,	,	PUNCT
arees-709	70	18	while	while	SCONJ
arees-709	70	19	in	in	ADP
arees-709	70	20	other	other	ADJ
arees-709	70	21	case	case	NOUN
arees-709	70	22	,	,	PUNCT
arees-709	70	23	some	some	DET
arees-709	70	24	regression	regression	NOUN
arees-709	70	25	models	model	NOUN
arees-709	70	26	provide	provide	VERB
arees-709	70	27	higher	high	ADJ
arees-709	70	28	accuracy	accuracy	NOUN
arees-709	70	29	of	of	ADP
arees-709	70	30	results	result	NOUN
arees-709	70	31	[	[	X
arees-709	70	32	2	2	NUM
arees-709	70	33	]	]	PUNCT
arees-709	70	34	.	.	PUNCT
arees-709	71	1	their	their	PRON
arees-709	71	2	resluts	reslut	NOUN
arees-709	71	3	may	may	AUX
arees-709	71	4	depend	depend	VERB
arees-709	71	5	on	on	ADP
arees-709	71	6	data	datum	NOUN
arees-709	71	7	quality	quality	NOUN
arees-709	71	8	and	and	CCONJ
arees-709	71	9	study	study	NOUN
arees-709	71	10	areas	area	NOUN
arees-709	71	11	,	,	PUNCT
arees-709	71	12	variables	variable	NOUN
arees-709	71	13	of	of	ADP
arees-709	71	14	time	time	NOUN
arees-709	71	15	lags	lag	NOUN
arees-709	71	16	of	of	ADP
arees-709	71	17	the	the	DET
arees-709	71	18	daily	daily	ADJ
arees-709	71	19	mean	mean	NOUN
arees-709	71	20	air	air	NOUN
arees-709	71	21	temperature	temperature	NOUN
arees-709	71	22	in	in	ADP
arees-709	71	23	multilayer	multilayer	ADJ
arees-709	71	24	perception	perception	NOUN
arees-709	71	25	ann	ann	PROPN
arees-709	71	26	models	model	NOUN
arees-709	71	27	.	.	PUNCT
arees-709	72	1	therefore	therefore	ADV
arees-709	72	2	,	,	PUNCT
arees-709	72	3	the	the	DET
arees-709	72	4	purpose	purpose	NOUN
arees-709	72	5	of	of	ADP
arees-709	72	6	this	this	DET
arees-709	72	7	study	study	NOUN
arees-709	72	8	is	be	AUX
arees-709	72	9	to	to	PART
arees-709	72	10	collect	collect	VERB
arees-709	72	11	the	the	DET
arees-709	72	12	appropriate	appropriate	ADJ
arees-709	72	13	model	model	NOUN
arees-709	72	14	of	of	ADP
arees-709	72	15	water	water	NOUN
arees-709	72	16	temperature	temperature	NOUN
arees-709	72	17	prediction	prediction	NOUN
arees-709	72	18	from	from	ADP
arees-709	72	19	air	air	NOUN
arees-709	72	20	temperature	temperature	NOUN
arees-709	72	21	data	datum	NOUN
arees-709	72	22	applying	apply	VERB
arees-709	72	23	for	for	ADP
arees-709	72	24	the	the	DET
arees-709	72	25	meteorological	meteorological	ADJ
arees-709	72	26	stations	station	NOUN
arees-709	72	27	without	without	ADP
arees-709	72	28	observed	observed	ADJ
arees-709	72	29	water	water	NOUN
arees-709	72	30	temperature	temperature	NOUN
arees-709	72	31	and	and	CCONJ
arees-709	72	32	serving	serve	VERB
arees-709	72	33	for	for	ADP
arees-709	72	34	determining	determine	VERB
arees-709	72	35	the	the	DET
arees-709	72	36	risk	risk	NOUN
arees-709	72	37	thresholds	threshold	NOUN
arees-709	72	38	to	to	PART
arees-709	72	39	aquaculture	aquaculture	VERB
arees-709	72	40	northern	northern	ADJ
arees-709	72	41	coastal	coastal	ADJ
arees-709	72	42	areas	area	NOUN
arees-709	72	43	vietnam	vietnam	PROPN
arees-709	72	44	.	.	PUNCT
arees-709	73	1	2	2	X
arees-709	73	2	.	.	X
arees-709	73	3	data	datum	NOUN
arees-709	73	4	and	and	CCONJ
arees-709	73	5	methodology	methodology	NOUN
arees-709	73	6	2.1	2.1	NUM
arees-709	73	7	.	.	PUNCT
arees-709	74	1	data	datum	NOUN
arees-709	74	2	data	datum	NOUN
arees-709	74	3	of	of	ADP
arees-709	74	4	bai	bai	PROPN
arees-709	74	5	chay	chay	PROPN
arees-709	74	6	station	station	PROPN
arees-709	74	7	,	,	PUNCT
arees-709	74	8	quang	quang	PROPN
arees-709	74	9	ninh	ninh	PROPN
arees-709	74	10	province	province	NOUN
arees-709	74	11	was	be	AUX
arees-709	74	12	used	use	VERB
arees-709	74	13	to	to	PART
arees-709	74	14	evaluate	evaluate	VERB
arees-709	74	15	the	the	DET
arees-709	74	16	accuracy	accuracy	NOUN
arees-709	74	17	of	of	ADP
arees-709	74	18	the	the	DET
arees-709	74	19	models	model	NOUN
arees-709	74	20	.	.	PUNCT
arees-709	75	1	10	10	NUM
arees-709	75	2	-	-	PUNCT
arees-709	75	3	years	year	NOUN
arees-709	75	4	data	datum	NOUN
arees-709	75	5	(	(	PUNCT
arees-709	75	6	2008	2008	NUM
arees-709	75	7	-	-	SYM
arees-709	75	8	2017	2017	NUM
arees-709	75	9	)	)	PUNCT
arees-709	75	10	of	of	ADP
arees-709	75	11	daily	daily	ADJ
arees-709	75	12	air	air	NOUN
arees-709	75	13	temperature	temperature	NOUN
arees-709	75	14	and	and	CCONJ
arees-709	75	15	water	water	NOUN
arees-709	75	16	temperature	temperature	NOUN
arees-709	75	17	including	include	VERB
arees-709	75	18	maximum	maximum	ADJ
arees-709	75	19	air	air	NOUN
arees-709	75	20	temperature(ta_max	temperature(ta_max	PUNCT
arees-709	75	21	)	)	PUNCT
arees-709	75	22	;	;	PUNCT
arees-709	75	23	maximum	maximum	PROPN
arees-709	75	24	water	water	PROPN
arees-709	75	25	temperature(tw	temperature(tw	PROPN
arees-709	75	26	-	-	PUNCT
arees-709	75	27	max	max	PROPN
arees-709	75	28	)	)	PUNCT
arees-709	75	29	;	;	PUNCT
arees-709	75	30	average	average	ADJ
arees-709	75	31	air	air	NOUN
arees-709	75	32	temperature(ta_tb	temperature(ta_tb	NUM
arees-709	75	33	)	)	PUNCT
arees-709	75	34	;	;	PUNCT
arees-709	75	35	average	average	ADJ
arees-709	75	36	water	water	NOUN
arees-709	75	37	temperature(tw_tb	temperature(tw_tb	NOUN
arees-709	75	38	)	)	PUNCT
arees-709	75	39	of	of	ADP
arees-709	75	40	bai	bai	PROPN
arees-709	75	41	chay	chay	PROPN
arees-709	75	42	station	station	NOUN
arees-709	75	43	is	be	AUX
arees-709	75	44	collected	collect	VERB
arees-709	75	45	.	.	PUNCT
arees-709	76	1	figure-1	figure-1	NOUN
arees-709	76	2	.	.	PUNCT
arees-709	76	3	variation	variation	NOUN
arees-709	76	4	of	of	ADP
arees-709	76	5	water	water	NOUN
arees-709	76	6	and	and	CCONJ
arees-709	76	7	air	air	NOUN
arees-709	76	8	temperature	temperature	NOUN
arees-709	76	9	source	source	NOUN
arees-709	76	10	:	:	PUNCT
arees-709	76	11	data	datum	NOUN
arees-709	76	12	collected	collect	VERB
arees-709	76	13	from	from	ADP
arees-709	76	14	bai	bai	PROPN
arees-709	76	15	chay	chay	PROPN
arees-709	76	16	station	station	NOUN
arees-709	76	17	(	(	PUNCT
arees-709	76	18	e.g.	e.g.	ADV
arees-709	76	19	of	of	ADP
arees-709	76	20	year	year	NOUN
arees-709	76	21	2008	2008	NUM
arees-709	76	22	)	)	PUNCT
arees-709	76	23	asian	asian	ADJ
arees-709	76	24	review	review	NOUN
arees-709	76	25	of	of	ADP
arees-709	76	26	environmental	environmental	ADJ
arees-709	76	27	and	and	CCONJ
arees-709	76	28	earth	earth	NOUN
arees-709	76	29	sciences	science	NOUN
arees-709	76	30	,	,	PUNCT
arees-709	76	31	2019	2019	NUM
arees-709	76	32	,	,	PUNCT
arees-709	76	33	6(1	6(1	NUM
arees-709	76	34	):	):	PUNCT
arees-709	76	35	1	1	NUM
arees-709	76	36	-	-	SYM
arees-709	76	37	8	8	NUM
arees-709	76	38	3	3	NUM
arees-709	76	39	©	©	PROPN
arees-709	76	40	2019	2019	NUM
arees-709	76	41	by	by	ADP
arees-709	76	42	the	the	DET
arees-709	76	43	authors	author	NOUN
arees-709	76	44	;	;	PUNCT
arees-709	76	45	licensee	licensee	PROPN
arees-709	76	46	asian	asian	ADJ
arees-709	76	47	online	online	PROPN
arees-709	76	48	journal	journal	PROPN
arees-709	76	49	publishing	publishing	NOUN
arees-709	76	50	group	group	NOUN
arees-709	76	51	figure	figure	NOUN
arees-709	76	52	1	1	NUM
arees-709	76	53	shows	show	VERB
arees-709	76	54	the	the	DET
arees-709	76	55	correlation	correlation	NOUN
arees-709	76	56	between	between	ADP
arees-709	76	57	the	the	DET
arees-709	76	58	maximum	maximum	ADJ
arees-709	76	59	water	water	NOUN
arees-709	76	60	and	and	CCONJ
arees-709	76	61	the	the	DET
arees-709	76	62	air	air	NOUN
arees-709	76	63	temperature	temperature	NOUN
arees-709	76	64	at	at	ADP
arees-709	76	65	bai	bai	PROPN
arees-709	76	66	chay	chay	PROPN
arees-709	76	67	station	station	NOUN
arees-709	76	68	with	with	ADP
arees-709	76	69	the	the	DET
arees-709	76	70	data	datum	NOUN
arees-709	76	71	2008	2008	NUM
arees-709	76	72	,	,	PUNCT
arees-709	76	73	points	point	VERB
arees-709	76	74	out	out	ADP
arees-709	76	75	that	that	SCONJ
arees-709	76	76	the	the	DET
arees-709	76	77	water	water	NOUN
arees-709	76	78	temperature	temperature	NOUN
arees-709	76	79	always	always	ADV
arees-709	76	80	changes	change	VERB
arees-709	76	81	linearly	linearly	ADV
arees-709	76	82	depending	depend	VERB
arees-709	76	83	on	on	ADP
arees-709	76	84	the	the	DET
arees-709	76	85	maximum	maximum	ADJ
arees-709	76	86	and	and	CCONJ
arees-709	76	87	average	average	ADJ
arees-709	76	88	air	air	NOUN
arees-709	76	89	temperature	temperature	NOUN
arees-709	76	90	.	.	PUNCT
arees-709	77	1	during	during	ADP
arees-709	77	2	the	the	DET
arees-709	77	3	year	year	NOUN
arees-709	77	4	,	,	PUNCT
arees-709	77	5	the	the	DET
arees-709	77	6	maximum	maximum	ADJ
arees-709	77	7	water	water	NOUN
arees-709	77	8	temperature	temperature	NOUN
arees-709	77	9	is	be	AUX
arees-709	77	10	always	always	ADV
arees-709	77	11	lower	low	ADJ
arees-709	77	12	than	than	ADP
arees-709	77	13	the	the	DET
arees-709	77	14	maximum	maximum	ADJ
arees-709	77	15	,	,	PUNCT
arees-709	77	16	but	but	CCONJ
arees-709	77	17	higher	high	ADJ
arees-709	77	18	than	than	ADP
arees-709	77	19	the	the	DET
arees-709	77	20	average	average	ADJ
arees-709	77	21	air	air	NOUN
arees-709	77	22	temperature	temperature	NOUN
arees-709	77	23	.	.	PUNCT
arees-709	78	1	in	in	ADP
arees-709	78	2	some	some	DET
arees-709	78	3	case	case	NOUN
arees-709	78	4	,	,	PUNCT
arees-709	78	5	when	when	SCONJ
arees-709	78	6	fluctuation	fluctuation	NOUN
arees-709	78	7	of	of	ADP
arees-709	78	8	day	day	NOUN
arees-709	78	9	and	and	CCONJ
arees-709	78	10	night	night	NOUN
arees-709	78	11	temperature	temperature	NOUN
arees-709	78	12	suddenly	suddenly	ADV
arees-709	78	13	change	change	VERB
arees-709	78	14	,	,	PUNCT
arees-709	78	15	the	the	DET
arees-709	78	16	maximum	maximum	ADJ
arees-709	78	17	water	water	NOUN
arees-709	78	18	temperature	temperature	NOUN
arees-709	78	19	may	may	AUX
arees-709	78	20	be	be	AUX
arees-709	78	21	higher	high	ADJ
arees-709	78	22	than	than	ADP
arees-709	78	23	that	that	DET
arees-709	78	24	ones	one	NOUN
arees-709	78	25	of	of	ADP
arees-709	78	26	air	air	NOUN
arees-709	78	27	temperature	temperature	NOUN
arees-709	78	28	(	(	PUNCT
arees-709	78	29	in	in	ADP
arees-709	78	30	summer	summer	NOUN
arees-709	78	31	)	)	PUNCT
arees-709	78	32	.	.	PUNCT
arees-709	79	1	thus	thus	ADV
arees-709	79	2	,	,	PUNCT
arees-709	79	3	the	the	DET
arees-709	79	4	maximum	maximum	ADJ
arees-709	79	5	water	water	NOUN
arees-709	79	6	temperature	temperature	NOUN
arees-709	79	7	in	in	ADP
arees-709	79	8	a	a	DET
arees-709	79	9	period	period	NOUN
arees-709	79	10	of	of	ADP
arees-709	79	11	time	time	NOUN
arees-709	79	12	always	always	ADV
arees-709	79	13	changes	change	VERB
arees-709	79	14	slowly	slowly	ADV
arees-709	79	15	and	and	CCONJ
arees-709	79	16	is	be	AUX
arees-709	79	17	not	not	PART
arees-709	79	18	synchronized	synchronize	VERB
arees-709	79	19	with	with	ADP
arees-709	79	20	the	the	DET
arees-709	79	21	maximum	maximum	ADJ
arees-709	79	22	air	air	NOUN
arees-709	79	23	temperature	temperature	NOUN
arees-709	79	24	and	and	CCONJ
arees-709	79	25	it	it	PRON
arees-709	79	26	creates	create	VERB
arees-709	79	27	a	a	DET
arees-709	79	28	delay	delay	NOUN
arees-709	79	29	time	time	NOUN
arees-709	79	30	between	between	ADP
arees-709	79	31	ta_max	ta_max	PROPN
arees-709	79	32	and	and	CCONJ
arees-709	79	33	tw	tw	NOUN
arees-709	79	34	-	-	PUNCT
arees-709	79	35	max	max	PROPN
arees-709	79	36	2.2	2.2	NUM
arees-709	79	37	.	.	PUNCT
arees-709	80	1	methodology	methodology	NOUN
arees-709	80	2	a.	a.	PROPN
arees-709	80	3	simple	simple	ADJ
arees-709	80	4	linear	linear	PROPN
arees-709	80	5	regression	regression	NOUN
arees-709	80	6	model	model	NOUN
arees-709	80	7	a	a	DET
arees-709	80	8	simple	simple	ADJ
arees-709	80	9	linear	linear	NOUN
arees-709	80	10	regression	regression	NOUN
arees-709	80	11	model	model	NOUN
arees-709	80	12	used	use	VERB
arees-709	80	13	a	a	DET
arees-709	80	14	linear	linear	ADJ
arees-709	80	15	function	function	NOUN
arees-709	80	16	with	with	ADP
arees-709	80	17	a	a	DET
arees-709	80	18	single	single	ADJ
arees-709	80	19	explanatory	explanatory	ADJ
arees-709	80	20	variable	variable	NOUN
arees-709	80	21	.	.	PUNCT
arees-709	81	1	the	the	DET
arees-709	81	2	regression	regression	NOUN
arees-709	81	3	model	model	NOUN
arees-709	81	4	simulates	simulate	VERB
arees-709	81	5	the	the	DET
arees-709	81	6	variation	variation	NOUN
arees-709	81	7	of	of	ADP
arees-709	81	8	water	water	NOUN
arees-709	81	9	temperature	temperature	NOUN
arees-709	81	10	determined	determine	VERB
arees-709	81	11	by	by	ADP
arees-709	81	12	the	the	DET
arees-709	81	13	correlation	correlation	NOUN
arees-709	81	14	with	with	ADP
arees-709	81	15	air	air	NOUN
arees-709	81	16	temperature	temperature	NOUN
arees-709	81	17	.	.	PUNCT
arees-709	82	1	simple	simple	ADJ
arees-709	82	2	linear	linear	ADJ
arees-709	82	3	regression	regression	NOUN
arees-709	82	4	equation	equation	NOUN
arees-709	82	5	:	:	PUNCT
arees-709	82	6	(	(	PUNCT
arees-709	82	7	1	1	X
arees-709	82	8	)	)	PUNCT
arees-709	82	9	tw(t	tw(t	PUNCT
arees-709	82	10	):	):	PUNCT
arees-709	82	11	water	water	NOUN
arees-709	82	12	temperature	temperature	NOUN
arees-709	82	13	in	in	ADP
arees-709	82	14	time	time	NOUN
arees-709	82	15	t	t	PROPN
arees-709	82	16	ta(t	ta(t	NOUN
arees-709	82	17	):	):	PUNCT
arees-709	82	18	air	air	NOUN
arees-709	82	19	temperature	temperature	NOUN
arees-709	82	20	in	in	ADP
arees-709	82	21	time	time	NOUN
arees-709	82	22	t	t	PROPN
arees-709	82	23	;	;	PUNCT
arees-709	82	24	a0	a0	PROPN
arees-709	82	25	,	,	PUNCT
arees-709	82	26	a1	a1	NOUN
arees-709	82	27	is	be	AUX
arees-709	82	28	the	the	DET
arees-709	82	29	coefficient	coefficient	NOUN
arees-709	82	30	of	of	ADP
arees-709	82	31	the	the	DET
arees-709	82	32	regression	regression	NOUN
arees-709	82	33	equation	equation	NOUN
arees-709	82	34	ε(t	ε(t	NOUN
arees-709	82	35	):	):	PUNCT
arees-709	82	36	error	error	NOUN
arees-709	82	37	[	[	X
arees-709	82	38	6	6	NUM
arees-709	82	39	]	]	PUNCT
arees-709	82	40	b.	b.	PROPN
arees-709	82	41	nonlinear	nonlinear	PROPN
arees-709	82	42	regression	regression	PROPN
arees-709	82	43	model	model	NOUN
arees-709	82	44	most	most	ADV
arees-709	82	45	common	common	ADJ
arees-709	82	46	nonlinear	nonlinear	ADJ
arees-709	82	47	regression	regression	NOUN
arees-709	82	48	methods	method	NOUN
arees-709	82	49	involve	involve	VERB
arees-709	82	50	air	air	NOUN
arees-709	82	51	and	and	CCONJ
arees-709	82	52	water	water	NOUN
arees-709	82	53	temperatures	temperature	NOUN
arees-709	82	54	[	[	X
arees-709	82	55	6	6	NUM
arees-709	82	56	]	]	PUNCT
arees-709	82	57	with	with	ADP
arees-709	82	58	5	5	NUM
arees-709	82	59	parameters	parameter	NOUN
arees-709	82	60	..	..	PUNCT
arees-709	82	61	(	(	PUNCT
arees-709	82	62	2	2	X
arees-709	82	63	)	)	PUNCT
arees-709	82	64	where	where	SCONJ
arees-709	82	65	tw	tw	X
arees-709	82	66	:	:	PUNCT
arees-709	82	67	daily	daily	ADJ
arees-709	82	68	maximum	maximum	ADJ
arees-709	82	69	water	water	NOUN
arees-709	82	70	temperature	temperature	NOUN
arees-709	82	71	predition	predition	NOUN
arees-709	82	72	ta	ta	ADP
arees-709	82	73	:	:	PUNCT
arees-709	82	74	air	air	NOUN
arees-709	82	75	temperature	temperature	NOUN
arees-709	82	76	measured	measure	VERB
arees-709	82	77	by	by	ADP
arees-709	82	78	day	day	NOUN
arees-709	82	79	t	t	PROPN
arees-709	82	80			NOUN
arees-709	82	81	,	,	PUNCT
arees-709	82	82			NUM
arees-709	82	83	,	,	PUNCT
arees-709	82	84	β	β	X
arees-709	82	85	:	:	PUNCT
arees-709	82	86	the	the	DET
arees-709	82	87	coefficient	coefficient	NOUN
arees-709	82	88	of	of	ADP
arees-709	82	89	the	the	DET
arees-709	82	90	model	model	NOUN
arees-709	82	91	,	,	PUNCT
arees-709	82	92	calculated	calculate	VERB
arees-709	82	93	by	by	ADP
arees-709	82	94	using	use	VERB
arees-709	82	95	the	the	DET
arees-709	82	96	nonlinear	nonlinear	ADJ
arees-709	82	97	regression	regression	NOUN
arees-709	82	98	model	model	NOUN
arees-709	82	99	under	under	ADP
arees-709	82	100	the	the	DET
arees-709	82	101	condition	condition	NOUN
arees-709	82	102	of	of	ADP
arees-709	82	103	minimum	minimum	ADJ
arees-709	82	104	sum	sum	NOUN
arees-709	82	105	of	of	ADP
arees-709	82	106	squared	square	VERB
arees-709	82	107	difference	difference	NOUN
arees-709	82	108	(	(	PUNCT
arees-709	82	109	ssd	ssd	NOUN
arees-709	82	110	)	)	PUNCT
arees-709	82	111	.	.	PUNCT
arees-709	83	1	c.	c.	PROPN
arees-709	83	2	stochastic	stochastic	PROPN
arees-709	83	3	model	model	NOUN
arees-709	83	4	stochastic	stochastic	NOUN
arees-709	83	5	model	model	NOUN
arees-709	83	6	proposed	propose	VERB
arees-709	83	7	by	by	ADP
arees-709	83	8	kothandaraman	kothandaraman	NOUN
arees-709	83	9	[	[	X
arees-709	83	10	15	15	NUM
arees-709	83	11	]	]	PUNCT
arees-709	83	12	and	and	CCONJ
arees-709	83	13	cluis	cluis	PROPN
arees-709	84	1	[	[	X
arees-709	84	2	19	19	NUM
arees-709	84	3	]	]	PUNCT
arees-709	84	4	.	.	PUNCT
arees-709	85	1	in	in	ADP
arees-709	85	2	the	the	DET
arees-709	85	3	model	model	NOUN
arees-709	85	4	,	,	PUNCT
arees-709	85	5	water	water	NOUN
arees-709	85	6	temperature	temperature	NOUN
arees-709	85	7	tw	tw	NOUN
arees-709	85	8	is	be	AUX
arees-709	85	9	simulated	simulate	VERB
arees-709	85	10	by	by	ADP
arees-709	85	11	2	2	NUM
arees-709	85	12	basic	basic	ADJ
arees-709	85	13	components	component	NOUN
arees-709	85	14	:	:	PUNCT
arees-709	85	15	(	(	PUNCT
arees-709	85	16	i	i	NOUN
arees-709	85	17	)	)	PUNCT
arees-709	85	18	air	air	NOUN
arees-709	85	19	temperature	temperature	NOUN
arees-709	85	20	in	in	ADP
arees-709	85	21	long	long	ADJ
arees-709	85	22	periods	period	NOUN
arees-709	85	23	of	of	ADP
arees-709	85	24	time	time	NOUN
arees-709	85	25	and	and	CCONJ
arees-709	85	26	water	water	NOUN
arees-709	85	27	temperature	temperature	NOUN
arees-709	85	28	in	in	ADP
arees-709	85	29	short	short	ADJ
arees-709	85	30	time	time	NOUN
arees-709	85	31	period	period	NOUN
arees-709	85	32	.	.	PUNCT
arees-709	86	1	(	(	PUNCT
arees-709	86	2	3	3	X
arees-709	86	3	)	)	PUNCT
arees-709	86	4	(	(	PUNCT
arees-709	86	5	4	4	X
arees-709	86	6	)	)	PUNCT
arees-709	86	7	sin	sin	NOUN
arees-709	86	8	(	(	PUNCT
arees-709	86	9	)	)	PUNCT
arees-709	86	10	function	function	NOUN
arees-709	86	11	in	in	ADP
arees-709	86	12	equation	equation	NOUN
arees-709	86	13	(	(	PUNCT
arees-709	86	14	4	4	X
arees-709	86	15	)	)	PUNCT
arees-709	86	16	shows	show	VERB
arees-709	86	17	the	the	DET
arees-709	86	18	trend	trend	NOUN
arees-709	86	19	of	of	ADP
arees-709	86	20	variation	variation	NOUN
arees-709	86	21	of	of	ADP
arees-709	86	22	water	water	NOUN
arees-709	86	23	temperature	temperature	NOUN
arees-709	86	24	by	by	ADP
arees-709	86	25	season	season	NOUN
arees-709	86	26	or	or	CCONJ
arees-709	86	27	year	year	NOUN
arees-709	86	28	cycle	cycle	NOUN
arees-709	86	29	.	.	PUNCT
arees-709	87	1	ta(t	ta(t	PROPN
arees-709	87	2	):	):	PUNCT
arees-709	88	1	seasonal	seasonal	ADJ
arees-709	88	2	air	air	NOUN
arees-709	88	3	temperature	temperature	NOUN
arees-709	88	4	;	;	PUNCT
arees-709	88	5	a	a	DET
arees-709	88	6	,	,	PUNCT
arees-709	88	7	b	b	NOUN
arees-709	88	8	,	,	PUNCT
arees-709	88	9	t0	t0	PROPN
arees-709	88	10	:	:	PUNCT
arees-709	88	11	the	the	DET
arees-709	88	12	correlation	correlation	NOUN
arees-709	88	13	coefficient	coefficient	NOUN
arees-709	88	14	of	of	ADP
arees-709	88	15	the	the	DET
arees-709	88	16	model	model	NOUN
arees-709	88	17	which	which	PRON
arees-709	88	18	can	can	AUX
arees-709	88	19	be	be	AUX
arees-709	88	20	identified	identify	VERB
arees-709	88	21	by	by	ADP
arees-709	88	22	nonlinear	nonlinear	ADJ
arees-709	88	23	regression	regression	NOUN
arees-709	88	24	model	model	NOUN
arees-709	88	25	.	.	PUNCT
arees-709	89	1	rw(t	rw(t	PUNCT
arees-709	89	2	):	):	PUNCT
arees-709	89	3	water	water	NOUN
arees-709	89	4	temperature	temperature	NOUN
arees-709	89	5	over	over	ADP
arees-709	89	6	short	short	ADJ
arees-709	89	7	period	period	NOUN
arees-709	89	8	of	of	ADP
arees-709	89	9	time	time	NOUN
arees-709	89	10	the	the	DET
arees-709	89	11	stochastic	stochastic	ADJ
arees-709	89	12	model	model	NOUN
arees-709	89	13	is	be	AUX
arees-709	89	14	used	use	VERB
arees-709	89	15	based	base	VERB
arees-709	89	16	on	on	ADP
arees-709	89	17	the	the	DET
arees-709	89	18	development	development	NOUN
arees-709	89	19	of	of	ADP
arees-709	89	20	a	a	DET
arees-709	89	21	model	model	NOUN
arees-709	89	22	proposed	propose	VERB
arees-709	89	23	by	by	ADP
arees-709	89	24	kothandaraman	kothandaraman	NOUN
arees-709	90	1	[	[	X
arees-709	90	2	15	15	NUM
arees-709	90	3	]	]	PUNCT
arees-709	90	4	that	that	PRON
arees-709	90	5	determines	determine	VERB
arees-709	90	6	the	the	DET
arees-709	90	7	time	time	NOUN
arees-709	90	8	lag	lag	VERB
arees-709	90	9	between	between	ADP
arees-709	90	10	water	water	NOUN
arees-709	90	11	temperature	temperature	NOUN
arees-709	90	12	and	and	CCONJ
arees-709	90	13	air	air	NOUN
arees-709	90	14	temperature	temperature	NOUN
arees-709	90	15	(	(	PUNCT
arees-709	90	16	5	5	NUM
arees-709	90	17	)	)	PUNCT
arees-709	91	1	where	where	SCONJ
arees-709	91	2	:	:	PUNCT
arees-709	91	3	β1	β1	NOUN
arees-709	91	4	,	,	PUNCT
arees-709	91	5	β2	β2	NOUN
arees-709	91	6	and	and	CCONJ
arees-709	91	7	β3	β3	ADJ
arees-709	91	8	are	be	AUX
arees-709	91	9	the	the	DET
arees-709	91	10	correlation	correlation	NOUN
arees-709	91	11	coefficients	coefficient	NOUN
arees-709	91	12	of	of	ADP
arees-709	91	13	the	the	DET
arees-709	91	14	model	model	NOUN
arees-709	91	15	,	,	PUNCT
arees-709	91	16	calculated	calculate	VERB
arees-709	91	17	by	by	ADP
arees-709	91	18	using	use	VERB
arees-709	91	19	the	the	DET
arees-709	91	20	nonlinear	nonlinear	ADJ
arees-709	91	21	regression	regression	NOUN
arees-709	91	22	model	model	NOUN
arees-709	91	23	under	under	ADP
arees-709	91	24	the	the	DET
arees-709	91	25	condition	condition	NOUN
arees-709	91	26	of	of	ADP
arees-709	91	27	the	the	DET
arees-709	91	28	minimum	minimum	ADJ
arees-709	91	29	sum	sum	NOUN
arees-709	91	30	of	of	ADP
arees-709	91	31	squared	square	VERB
arees-709	91	32	differences	difference	NOUN
arees-709	91	33	.	.	PUNCT
arees-709	92	1	ra(t	ra(t	NOUN
arees-709	92	2	)	)	PUNCT
arees-709	93	1	,	,	PUNCT
arees-709	93	2	ra(t	ra(t	PUNCT
arees-709	93	3	–	–	PUNCT
arees-709	93	4	1	1	NUM
arees-709	93	5	)	)	PUNCT
arees-709	93	6	and	and	CCONJ
arees-709	93	7	ra(t	ra(t	X
arees-709	93	8	–	–	PUNCT
arees-709	93	9	2	2	X
arees-709	93	10	)	)	PUNCT
arees-709	93	11	is	be	AUX
arees-709	93	12	the	the	DET
arees-709	93	13	air	air	NOUN
arees-709	93	14	temperature	temperature	NOUN
arees-709	93	15	at	at	ADP
arees-709	93	16	time	time	NOUN
arees-709	93	17	t	t	PROPN
arees-709	93	18	,	,	PUNCT
arees-709	93	19	(	(	PUNCT
arees-709	93	20	t	t	PROPN
arees-709	93	21	–	–	PUNCT
arees-709	93	22	1	1	NUM
arees-709	93	23	)	)	PUNCT
arees-709	93	24	,	,	PUNCT
arees-709	93	25	(	(	PUNCT
arees-709	93	26	t	t	PROPN
arees-709	93	27	–	–	PUNCT
arees-709	93	28	2	2	NUM
arees-709	93	29	)	)	PUNCT
arees-709	93	30	.	.	PUNCT
arees-709	94	1	(	(	PUNCT
arees-709	94	2	6	6	NUM
arees-709	94	3	)	)	PUNCT
arees-709	94	4	in	in	ADP
arees-709	94	5	model	model	NOUN
arees-709	94	6	(	(	PUNCT
arees-709	94	7	6	6	NUM
arees-709	94	8	)	)	PUNCT
arees-709	94	9	,	,	PUNCT
arees-709	94	10	the	the	DET
arees-709	94	11	water	water	NOUN
arees-709	94	12	temperature	temperature	NOUN
arees-709	94	13	at	at	ADP
arees-709	94	14	time	time	NOUN
arees-709	94	15	t	t	PROPN
arees-709	94	16	is	be	AUX
arees-709	94	17	determined	determine	VERB
arees-709	94	18	based	base	VERB
arees-709	94	19	on	on	ADP
arees-709	94	20	the	the	DET
arees-709	94	21	dependence	dependence	NOUN
arees-709	94	22	of	of	ADP
arees-709	94	23	daily	daily	ADJ
arees-709	94	24	air	air	NOUN
arees-709	94	25	temperature	temperature	NOUN
arees-709	94	26	by	by	ADP
arees-709	94	27	the	the	DET
arees-709	94	28	sine	sine	ADJ
arees-709	94	29	function	function	NOUN
arees-709	94	30	in	in	ADP
arees-709	94	31	equation	equation	NOUN
arees-709	94	32	(	(	PUNCT
arees-709	94	33	4	4	NUM
arees-709	94	34	)	)	PUNCT
arees-709	94	35	and	and	CCONJ
arees-709	94	36	the	the	DET
arees-709	94	37	lag	lag	NOUN
arees-709	94	38	over	over	ADP
arees-709	94	39	time	time	NOUN
arees-709	94	40	(	(	PUNCT
arees-709	94	41	lag	lag	NOUN
arees-709	94	42	=	=	SYM
arees-709	94	43	1	1	NUM
arees-709	94	44	and	and	CCONJ
arees-709	94	45	lag	lag	NOUN
arees-709	94	46	=	=	SYM
arees-709	94	47	2	2	NUM
arees-709	94	48	)	)	PUNCT
arees-709	94	49	,	,	PUNCT
arees-709	94	50	corresponding	correspond	VERB
arees-709	94	51	to	to	ADP
arees-709	94	52	time	time	NOUN
arees-709	94	53	t-1	t-1	PROPN
arees-709	94	54	(	(	PUNCT
arees-709	94	55	1	1	NUM
arees-709	94	56	day	day	NOUN
arees-709	94	57	before	before	ADV
arees-709	94	58	)	)	PUNCT
arees-709	94	59	and	and	CCONJ
arees-709	94	60	t-2	t-2	PROPN
arees-709	94	61	(	(	PUNCT
arees-709	94	62	2	2	NUM
arees-709	94	63	days	day	NOUN
arees-709	94	64	before	before	ADV
arees-709	94	65	)	)	PUNCT
arees-709	94	66	of	of	ADP
arees-709	94	67	air	air	NOUN
arees-709	94	68	temperature	temperature	NOUN
arees-709	94	69	equation	equation	NOUN
arees-709	94	70	(	(	PUNCT
arees-709	94	71	5	5	NUM
arees-709	94	72	)	)	PUNCT
arees-709	94	73	.	.	PUNCT
arees-709	95	1	d.	d.	PROPN
arees-709	95	2	artificial	artificial	ADJ
arees-709	95	3	neural	neural	ADJ
arees-709	95	4	networks	network	NOUN
arees-709	95	5	-ann	-ann	PUNCT
arees-709	95	6	in	in	ADP
arees-709	95	7	recent	recent	ADJ
arees-709	95	8	years	year	NOUN
arees-709	95	9	,	,	PUNCT
arees-709	95	10	ann	ann	PROPN
arees-709	95	11	has	have	AUX
arees-709	95	12	been	be	AUX
arees-709	95	13	applied	apply	VERB
arees-709	95	14	quite	quite	ADV
arees-709	95	15	widely	widely	ADV
arees-709	95	16	in	in	ADP
arees-709	95	17	many	many	ADJ
arees-709	95	18	areas	area	NOUN
arees-709	95	19	related	relate	VERB
arees-709	95	20	to	to	ADP
arees-709	95	21	estimation	estimation	NOUN
arees-709	95	22	and	and	CCONJ
arees-709	95	23	forecasting	forecasting	NOUN
arees-709	95	24	due	due	ADP
arees-709	95	25	to	to	ADP
arees-709	95	26	high	high	ADJ
arees-709	95	27	accuracy	accuracy	NOUN
arees-709	95	28	when	when	SCONJ
arees-709	95	29	complex	complex	ADJ
arees-709	95	30	nonlinear	nonlinear	ADJ
arees-709	95	31	models	model	NOUN
arees-709	95	32	are	be	AUX
arees-709	95	33	difficult	difficult	ADJ
arees-709	95	34	to	to	PART
arees-709	95	35	achieve	achieve	VERB
arees-709	95	36	by	by	ADP
arees-709	95	37	conventional	conventional	ADJ
arees-709	95	38	mathematical	mathematical	ADJ
arees-709	95	39	equations	equation	NOUN
arees-709	95	40	[	[	X
arees-709	95	41	3	3	NUM
arees-709	95	42	,	,	PUNCT
arees-709	95	43	17	17	NUM
arees-709	95	44	,	,	PUNCT
arees-709	95	45	20	20	NUM
arees-709	95	46	]	]	PUNCT
arees-709	95	47	.	.	PUNCT
arees-709	96	1	in	in	ADP
arees-709	96	2	this	this	DET
arees-709	96	3	study	study	NOUN
arees-709	96	4	,	,	PUNCT
arees-709	96	5	ann	ann	PROPN
arees-709	96	6	model	model	NOUN
arees-709	96	7	are	be	AUX
arees-709	96	8	used	use	VERB
arees-709	96	9	to	to	PART
arees-709	96	10	identify	identify	VERB
arees-709	96	11	the	the	DET
arees-709	96	12	daily	daily	ADJ
arees-709	96	13	maximum	maximum	ADJ
arees-709	96	14	water	water	NOUN
arees-709	96	15	temperature	temperature	NOUN
arees-709	96	16	with	with	ADP
arees-709	96	17	the	the	DET
arees-709	96	18	neurons	neuron	NOUN
arees-709	96	19	as	as	ADP
arees-709	96	20	input	input	NOUN
arees-709	96	21	data	datum	NOUN
arees-709	96	22	of	of	ADP
arees-709	96	23	the	the	DET
arees-709	96	24	maximum	maximum	ADJ
arees-709	96	25	and	and	CCONJ
arees-709	96	26	average	average	ADJ
arees-709	96	27	air	air	NOUN
arees-709	96	28	temperature	temperature	NOUN
arees-709	96	29	in	in	ADP
arees-709	96	30	a	a	DET
arees-709	96	31	time	time	NOUN
arees-709	96	32	period	period	NOUN
arees-709	96	33	to	to	PART
arees-709	96	34	determine	determine	VERB
arees-709	96	35	the	the	DET
arees-709	96	36	time	time	NOUN
arees-709	96	37	lag	lag	NOUN
arees-709	96	38	between	between	ADP
arees-709	96	39	air	air	NOUN
arees-709	96	40	and	and	CCONJ
arees-709	96	41	water	water	NOUN
arees-709	96	42	temperature	temperature	NOUN
arees-709	96	43	.	.	PUNCT
arees-709	97	1	figure	figure	NOUN
arees-709	97	2	2	2	NUM
arees-709	97	3	show	show	VERB
arees-709	97	4	the	the	DET
arees-709	97	5	basic	basic	ADJ
arees-709	97	6	structure	structure	NOUN
arees-709	97	7	of	of	ADP
arees-709	97	8	ann	ann	PROPN
arees-709	97	9	consisting	consist	VERB
arees-709	97	10	of	of	ADP
arees-709	97	11	three	three	NUM
arees-709	97	12	basic	basic	ADJ
arees-709	97	13	layers	layer	NOUN
arees-709	97	14	:	:	PUNCT
arees-709	97	15	(	(	PUNCT
arees-709	97	16	i	i	NOUN
arees-709	97	17	)	)	PUNCT
arees-709	97	18	input	input	NOUN
arees-709	97	19	layer	layer	NOUN
arees-709	97	20	(	(	PUNCT
arees-709	97	21	data	datum	NOUN
arees-709	97	22	layer	layer	NOUN
arees-709	97	23	entered	enter	VERB
arees-709	97	24	input	input	NOUN
arees-709	97	25	layer	layer	NOUN
arees-709	97	26	)	)	PUNCT
arees-709	97	27	are	be	AUX
arees-709	97	28	neurons	neuron	NOUN
arees-709	97	29	x1	x1	PROPN
arees-709	97	30	,	,	PUNCT
arees-709	97	31	x2	x2	PROPN
arees-709	97	32	,	,	PUNCT
arees-709	97	33	...	...	PUNCT
arees-709	98	1	xn	xn	NUM
arees-709	98	2	;	;	PUNCT
arees-709	98	3	(	(	PUNCT
arees-709	98	4	ii	ii	NOUN
arees-709	98	5	)	)	PUNCT
arees-709	98	6	one	one	NUM
arees-709	98	7	or	or	CCONJ
arees-709	98	8	more	more	ADV
arees-709	98	9	hidden	hidden	ADJ
arees-709	98	10	layers	layer	NOUN
arees-709	98	11	(	(	PUNCT
arees-709	98	12	processing	processing	NOUN
arees-709	98	13	data	datum	NOUN
arees-709	98	14	layer	layer	NOUN
arees-709	98	15	-hidden	-hidden	PROPN
arees-709	98	16	layer	layer	NOUN
arees-709	98	17	)	)	PUNCT
arees-709	98	18	;	;	PUNCT
arees-709	98	19	and	and	CCONJ
arees-709	98	20	(	(	PUNCT
arees-709	98	21	iii	iii	X
arees-709	98	22	)	)	PUNCT
arees-709	98	23	output	output	NOUN
arees-709	98	24	data	datum	NOUN
arees-709	98	25	layer	layer	NOUN
arees-709	98	26	(	(	PUNCT
arees-709	98	27	output	output	NOUN
arees-709	98	28	data	datum	NOUN
arees-709	98	29	layer	layer	NOUN
arees-709	98	30	created	create	VERB
arees-709	98	31	output	output	NOUN
arees-709	98	32	layer	layer	NOUN
arees-709	98	33	)	)	PUNCT
arees-709	98	34	.	.	PUNCT
arees-709	99	1	each	each	DET
arees-709	99	2	layer	layer	NOUN
arees-709	99	3	in	in	ADP
arees-709	99	4	ann	ann	PROPN
arees-709	99	5	consists	consist	VERB
arees-709	99	6	of	of	ADP
arees-709	99	7	nodes	node	NOUN
arees-709	99	8	(	(	PUNCT
arees-709	99	9	neurons	neuron	NOUN
arees-709	99	10	)	)	PUNCT
arees-709	99	11	,	,	PUNCT
arees-709	99	12	each	each	DET
arees-709	99	13	neuron	neuron	NOUN
arees-709	99	14	connects	connect	VERB
arees-709	99	15	to	to	ADP
arees-709	99	16	another	another	DET
arees-709	99	17	neuron	neuron	NOUN
arees-709	99	18	of	of	ADP
arees-709	99	19	the	the	DET
arees-709	99	20	previous	previous	ADJ
arees-709	99	21	layer	layer	NOUN
arees-709	99	22	and	and	CCONJ
arees-709	99	23	moves	move	NOUN
arees-709	99	24	from	from	ADP
arees-709	99	25	the	the	DET
arees-709	99	26	data	data	NOUN
arees-709	99	27	layer	layer	NOUN
arees-709	99	28	into	into	ADP
arees-709	99	29	the	the	DET
arees-709	99	30	hidden	hide	VERB
arees-709	99	31	layer	layer	NOUN
arees-709	99	32	to	to	ADP
arees-709	99	33	the	the	DET
arees-709	99	34	output	output	NOUN
arees-709	99	35	layer	layer	NOUN
arees-709	99	36	.	.	PUNCT
arees-709	100	1	in	in	ADP
arees-709	100	2	an	an	DET
arees-709	100	3	ann	ann	PROPN
arees-709	100	4	there	there	PRON
arees-709	100	5	might	might	AUX
arees-709	100	6	be	be	AUX
arees-709	100	7	multiple	multiple	ADJ
arees-709	100	8	hidden	hide	VERB
arees-709	100	9	layers	layer	NOUN
arees-709	100	10	,	,	PUNCT
arees-709	100	11	each	each	DET
arees-709	100	12	neuron	neuron	NOUN
arees-709	100	13	in	in	ADP
arees-709	100	14	the	the	DET
arees-709	100	15	hidden	hide	VERB
arees-709	100	16	layer	layer	NOUN
arees-709	100	17	consists	consist	VERB
arees-709	100	18	of	of	ADP
arees-709	100	19	three	three	NUM
arees-709	100	20	components	component	NOUN
arees-709	100	21	,	,	PUNCT
arees-709	100	22	including	include	VERB
arees-709	100	23	weights	weight	NOUN
arees-709	100	24	;	;	PUNCT
arees-709	100	25	bias	bias	NOUN
arees-709	100	26	and	and	CCONJ
arees-709	100	27	activation	activation	NOUN
arees-709	100	28	function	function	NOUN
arees-709	100	29	.	.	PUNCT
arees-709	101	1	the	the	DET
arees-709	101	2	activation	activation	NOUN
arees-709	101	3	function	function	NOUN
arees-709	101	4	mainly	mainly	ADV
arees-709	101	5	used	use	VERB
arees-709	101	6	is	be	AUX
arees-709	101	7	sigmoid	sigmoid	NOUN
arees-709	101	8	function	function	NOUN
arees-709	101	9	(	(	PUNCT
arees-709	101	10	including	include	VERB
arees-709	101	11	logsig	logsig	NOUN
arees-709	101	12	,	,	PUNCT
arees-709	101	13	tansignonlinear	tansignonlinear	ADJ
arees-709	101	14	function	function	NOUN
arees-709	101	15	)	)	PUNCT
arees-709	101	16	or	or	CCONJ
arees-709	101	17	purelin	purelin	PROPN
arees-709	101	18	linear	linear	PROPN
arees-709	101	19	function	function	NOUN
arees-709	101	20	.	.	PUNCT
arees-709	102	1	asian	asian	ADJ
arees-709	102	2	review	review	NOUN
arees-709	102	3	of	of	ADP
arees-709	102	4	environmental	environmental	ADJ
arees-709	102	5	and	and	CCONJ
arees-709	102	6	earth	earth	NOUN
arees-709	102	7	sciences	science	NOUN
arees-709	102	8	,	,	PUNCT
arees-709	102	9	2019	2019	NUM
arees-709	102	10	,	,	PUNCT
arees-709	102	11	6(1	6(1	NUM
arees-709	102	12	):	):	PUNCT
arees-709	102	13	1	1	NUM
arees-709	102	14	-	-	SYM
arees-709	102	15	8	8	NUM
arees-709	102	16	4	4	NUM
arees-709	102	17	©	©	PROPN
arees-709	102	18	2019	2019	NUM
arees-709	102	19	by	by	ADP
arees-709	102	20	the	the	DET
arees-709	102	21	authors	author	NOUN
arees-709	102	22	;	;	PUNCT
arees-709	102	23	licensee	licensee	PROPN
arees-709	102	24	asian	asian	ADJ
arees-709	102	25	online	online	PROPN
arees-709	102	26	journal	journal	PROPN
arees-709	102	27	publishing	publishing	NOUN
arees-709	102	28	group	group	NOUN
arees-709	102	29	figure-2	figure-2	PROPN
arees-709	102	30	.	.	PUNCT
arees-709	102	31	structure	structure	NOUN
arees-709	102	32	of	of	ADP
arees-709	102	33	ann	ann	PROPN
arees-709	102	34	model	model	PROPN
arees-709	102	35	source	source	PROPN
arees-709	102	36	:	:	PUNCT
arees-709	102	37	modified	modify	VERB
arees-709	102	38	from	from	ADP
arees-709	102	39	srivastav	srivastav	NOUN
arees-709	102	40	,	,	PUNCT
arees-709	102	41	et	et	PROPN
arees-709	102	42	al	al	PROPN
arees-709	102	43	.	.	PUNCT
arees-709	103	1	[	[	X
arees-709	103	2	21	21	NUM
arees-709	103	3	]	]	PUNCT
arees-709	103	4	according	accord	VERB
arees-709	103	5	to	to	ADP
arees-709	103	6	marijana	marijana	PROPN
arees-709	103	7	,	,	PUNCT
arees-709	103	8	et	et	PROPN
arees-709	103	9	al	al	PROPN
arees-709	103	10	.	.	PUNCT
arees-709	104	1	[	[	X
arees-709	104	2	16	16	NUM
arees-709	104	3	]	]	PUNCT
arees-709	104	4	mathematically	mathematically	ADV
arees-709	104	5	,	,	PUNCT
arees-709	104	6	neuron	neuron	PROPN
arees-709	104	7	is	be	AUX
arees-709	104	8	calculated	calculate	VERB
arees-709	104	9	by	by	ADP
arees-709	104	10	the	the	DET
arees-709	104	11	equation	equation	NOUN
arees-709	104	12	:	:	PUNCT
arees-709	104	13	y=	y=	NUM
arees-709	104	14	(v	(v	NOUN
arees-709	104	15	)	)	PUNCT
arees-709	104	16	where	where	SCONJ
arees-709	104	17	:	:	PUNCT
arees-709	104	18	w[w1	w[w1	NOUN
arees-709	104	19	,	,	PUNCT
arees-709	104	20	w2	w2	NOUN
arees-709	104	21	…	…	SYM
arees-709	104	22	wn	wn	PROPN
arees-709	104	23	]	]	X
arees-709	104	24	vector	vector	NOUN
arees-709	104	25	of	of	ADP
arees-709	104	26	the	the	DET
arees-709	104	27	weight	weight	NOUN
arees-709	104	28	x[x1	x[x1	PROPN
arees-709	104	29	,	,	PUNCT
arees-709	104	30	x2	x2	PROPN
arees-709	104	31	…	…	PUNCT
arees-709	104	32	xn	xn	SYM
arees-709	104	33	]	]	X
arees-709	104	34	vector	vector	NOUN
arees-709	104	35	of	of	ADP
arees-709	104	36	input	input	NOUN
arees-709	104	37	signal	signal	NOUN
arees-709	104	38	wn+1	wn+1	NOUN
arees-709	104	39	bias	bias	NOUN
arees-709	104	40	(v	(v	NOUN
arees-709	104	41	)	)	PUNCT
arees-709	104	42	activation	activation	NOUN
arees-709	104	43	function	function	NOUN
arees-709	104	44	ann	ann	PROPN
arees-709	104	45	associated	associate	VERB
arees-709	104	46	with	with	ADP
arees-709	104	47	machine	machine	NOUN
arees-709	104	48	learning	learning	NOUN
arees-709	104	49	methods	method	NOUN
arees-709	104	50	,	,	PUNCT
arees-709	104	51	in	in	ADP
arees-709	104	52	which	which	PRON
arees-709	104	53	input	input	NOUN
arees-709	104	54	data	data	NOUN
arees-709	104	55	is	be	AUX
arees-709	104	56	divided	divide	VERB
arees-709	104	57	into	into	ADP
arees-709	104	58	2	2	NUM
arees-709	104	59	parts	part	NOUN
arees-709	104	60	:	:	PUNCT
arees-709	104	61	training	training	NOUN
arees-709	104	62	(	(	PUNCT
arees-709	104	63	80	80	NUM
arees-709	104	64	%	%	NOUN
arees-709	104	65	)	)	PUNCT
arees-709	104	66	and	and	CCONJ
arees-709	104	67	testing	testing	NOUN
arees-709	104	68	(	(	PUNCT
arees-709	104	69	20	20	NUM
arees-709	104	70	%	%	NOUN
arees-709	104	71	)	)	PUNCT
arees-709	104	72	data	datum	NOUN
arees-709	104	73	.	.	PUNCT
arees-709	105	1	the	the	DET
arees-709	105	2	training	training	NOUN
arees-709	105	3	data	datum	NOUN
arees-709	105	4	was	be	AUX
arees-709	105	5	used	use	VERB
arees-709	105	6	to	to	PART
arees-709	105	7	determine	determine	VERB
arees-709	105	8	the	the	DET
arees-709	105	9	parameters	parameter	NOUN
arees-709	105	10	of	of	ADP
arees-709	105	11	the	the	DET
arees-709	105	12	proposed	propose	VERB
arees-709	105	13	models	model	NOUN
arees-709	105	14	then	then	ADV
arees-709	105	15	the	the	DET
arees-709	105	16	model	model	NOUN
arees-709	105	17	adjust	adjust	VERB
arees-709	105	18	the	the	DET
arees-709	105	19	weight	weight	NOUN
arees-709	105	20	of	of	ADP
arees-709	105	21	each	each	DET
arees-709	105	22	neuron	neuron	NOUN
arees-709	105	23	and	and	CCONJ
arees-709	105	24	the	the	DET
arees-709	105	25	error	error	NOUN
arees-709	105	26	.	.	PUNCT
arees-709	106	1	the	the	DET
arees-709	106	2	quality	quality	NOUN
arees-709	106	3	of	of	ADP
arees-709	106	4	the	the	DET
arees-709	106	5	resulting	result	VERB
arees-709	106	6	models	model	NOUN
arees-709	106	7	was	be	AUX
arees-709	106	8	assessed	assess	VERB
arees-709	106	9	using	use	VERB
arees-709	106	10	the	the	DET
arees-709	106	11	test	test	NOUN
arees-709	106	12	dataset	dataset	NOUN
arees-709	106	13	.	.	PUNCT
arees-709	107	1	the	the	DET
arees-709	107	2	entire	entire	ADJ
arees-709	107	3	process	process	NOUN
arees-709	107	4	performed	perform	VERB
arees-709	107	5	by	by	ADP
arees-709	107	6	dedicated	dedicated	ADJ
arees-709	107	7	software	software	NOUN
arees-709	107	8	.	.	PUNCT
arees-709	108	1	e.	e.	PROPN
arees-709	108	2	model	model	PROPN
arees-709	108	3	evaluation	evaluation	NOUN
arees-709	108	4	the	the	DET
arees-709	108	5	accuracy	accuracy	NOUN
arees-709	108	6	of	of	ADP
arees-709	108	7	the	the	DET
arees-709	108	8	output	output	NOUN
arees-709	108	9	is	be	AUX
arees-709	108	10	the	the	DET
arees-709	108	11	factor	factor	NOUN
arees-709	108	12	deciding	decide	VERB
arees-709	108	13	the	the	DET
arees-709	108	14	model	model	NOUN
arees-709	108	15	's	's	PART
arees-709	108	16	efficiency	efficiency	NOUN
arees-709	108	17	and	and	CCONJ
arees-709	108	18	is	be	AUX
arees-709	108	19	usually	usually	ADV
arees-709	108	20	done	do	VERB
arees-709	108	21	by	by	ADP
arees-709	108	22	evaluating	evaluate	VERB
arees-709	108	23	some	some	DET
arees-709	108	24	parameters	parameter	NOUN
arees-709	108	25	.	.	PUNCT
arees-709	109	1	√	√	VERB
arees-709	109	2	∑	∑	PUNCT
arees-709	109	3	̂	̂	X
arees-709	109	4	(	(	PUNCT
arees-709	109	5	7	7	NUM
arees-709	109	6	)	)	PUNCT
arees-709	109	7	̅	̅	NOUN
arees-709	109	8	√	√	NUM
arees-709	109	9	∑	∑	PUNCT
arees-709	109	10	̂	̂	X
arees-709	109	11	(	(	PUNCT
arees-709	109	12	8)	8)	NUM
arees-709	109	13	∑	∑	PUNCT
arees-709	109	14	̂	̂	VERB
arees-709	109	15	∑	∑	PART
arees-709	109	16	̅	̅	NOUN
arees-709	109	17	(	(	PUNCT
arees-709	109	18	9	9	NUM
arees-709	109	19	)	)	PUNCT
arees-709	109	20	∑	∑	NOUN
arees-709	109	21	̅	̅	NOUN
arees-709	109	22	̂	̂	X
arees-709	109	23	̅̂	̅̂	NOUN
arees-709	109	24	√∑	√∑	NOUN
arees-709	109	25	̅	̅	NOUN
arees-709	109	26	∑	∑	PUNCT
arees-709	109	27	̂	̂	PUNCT
arees-709	109	28	̅̂	̅̂	NOUN
arees-709	109	29	(	(	PUNCT
arees-709	109	30	10	10	NUM
arees-709	109	31	)	)	PUNCT
arees-709	109	32	̂	̂	PUNCT
arees-709	109	33	:	:	PUNCT
arees-709	109	34	water	water	NOUN
arees-709	109	35	temperature	temperature	NOUN
arees-709	109	36	prediction	prediction	NOUN
arees-709	109	37	in	in	ADP
arees-709	109	38	day	day	NOUN
arees-709	110	1	i	i	PRON
arees-709	110	2	:	:	PUNCT
arees-709	110	3	observed	observed	ADJ
arees-709	110	4	water	water	NOUN
arees-709	110	5	temperature	temperature	NOUN
arees-709	110	6	in	in	ADP
arees-709	110	7	day	day	NOUN
arees-709	110	8	i	i	PRON
arees-709	110	9	̅̂	̅̂	VERB
arees-709	110	10	:	:	PUNCT
arees-709	110	11	average	average	ADJ
arees-709	110	12	value	value	NOUN
arees-709	110	13	of	of	ADP
arees-709	110	14	̂	̂	PUNCT
arees-709	110	15	̅	̅	NOUN
arees-709	110	16	:	:	PUNCT
arees-709	110	17	average	average	ADJ
arees-709	110	18	value	value	NOUN
arees-709	110	19	of	of	ADP
arees-709	110	20	n	n	CCONJ
arees-709	110	21	:	:	PUNCT
arees-709	110	22	size	size	NOUN
arees-709	110	23	of	of	ADP
arees-709	110	24	data	datum	NOUN
arees-709	110	25	set	set	VERB
arees-709	110	26	root	root	NOUN
arees-709	110	27	mean	mean	VERB
arees-709	110	28	square	square	ADJ
arees-709	110	29	error	error	NOUN
arees-709	110	30	–	–	PUNCT
arees-709	110	31	rmse	rmse	NOUN
arees-709	110	32	:	:	PUNCT
arees-709	110	33	the	the	DET
arees-709	110	34	parameter	parameter	NOUN
arees-709	110	35	describes	describe	VERB
arees-709	110	36	the	the	DET
arees-709	110	37	error	error	NOUN
arees-709	110	38	between	between	ADP
arees-709	110	39	observed	observed	ADJ
arees-709	110	40	and	and	CCONJ
arees-709	110	41	calculated	calculate	VERB
arees-709	110	42	data	datum	NOUN
arees-709	110	43	it	it	PRON
arees-709	110	44	could	could	AUX
arees-709	110	45	be	be	AUX
arees-709	110	46	standardized	standardize	VERB
arees-709	110	47	by	by	ADP
arees-709	110	48	the	the	DET
arees-709	110	49	percentage%	percentage%	PROPN
arees-709	110	50	(	(	PUNCT
arees-709	110	51	rmse%	rmse%	NOUN
arees-709	110	52	)	)	PUNCT
arees-709	110	53	to	to	PART
arees-709	110	54	describe	describe	VERB
arees-709	110	55	relativity	relativity	NOUN
arees-709	110	56	to	to	ADP
arees-709	110	57	the	the	DET
arees-709	110	58	mean	mean	ADJ
arees-709	110	59	value	value	NOUN
arees-709	110	60	.	.	PUNCT
arees-709	111	1	correlation	correlation	NOUN
arees-709	111	2	coefficient	coefficient	NOUN
arees-709	111	3	r	r	NOUN
arees-709	111	4	:	:	PUNCT
arees-709	111	5	provides	provide	VERB
arees-709	111	6	information	information	NOUN
arees-709	111	7	about	about	ADP
arees-709	111	8	the	the	DET
arees-709	111	9	linear	linear	ADJ
arees-709	111	10	relationship	relationship	NOUN
arees-709	111	11	between	between	ADP
arees-709	111	12	the	the	DET
arees-709	111	13	calculated	calculate	VERB
arees-709	111	14	value	value	NOUN
arees-709	111	15	and	and	CCONJ
arees-709	111	16	the	the	DET
arees-709	111	17	observed	observed	ADJ
arees-709	111	18	value	value	NOUN
arees-709	111	19	.	.	PUNCT
arees-709	112	1	r	r	NOUN
arees-709	112	2	value	value	NOUN
arees-709	112	3	ranges	range	VERB
arees-709	112	4	from	from	ADP
arees-709	112	5	0	0	NUM
arees-709	112	6	-	-	SYM
arees-709	112	7	1	1	NUM
arees-709	112	8	.	.	PUNCT
arees-709	113	1	the	the	PRON
arees-709	113	2	closer	close	ADJ
arees-709	113	3	the	the	DET
arees-709	113	4	r=1	r=1	NOUN
arees-709	113	5	value	value	NOUN
arees-709	113	6	is	be	AUX
arees-709	113	7	,	,	PUNCT
arees-709	113	8	the	the	PRON
arees-709	113	9	closer	close	ADV
arees-709	113	10	the	the	DET
arees-709	113	11	correlation	correlation	NOUN
arees-709	113	12	is	be	AUX
arees-709	113	13	.	.	PUNCT
arees-709	114	1	nash	nash	PROPN
arees-709	114	2	and	and	CCONJ
arees-709	114	3	sutcliffe	sutcliffe	PROPN
arees-709	115	1	[	[	X
arees-709	115	2	22	22	NUM
arees-709	115	3	]	]	PUNCT
arees-709	115	4	:	:	PUNCT
arees-709	115	5	determine	determine	VERB
arees-709	115	6	the	the	DET
arees-709	115	7	effectiveness	effectiveness	NOUN
arees-709	115	8	of	of	ADP
arees-709	115	9	the	the	DET
arees-709	115	10	model	model	NOUN
arees-709	115	11	.	.	PUNCT
arees-709	116	1	e	e	NOUN
arees-709	116	2	assesses	assess	VERB
arees-709	116	3	the	the	DET
arees-709	116	4	relative	relative	ADJ
arees-709	116	5	difference	difference	NOUN
arees-709	116	6	between	between	ADP
arees-709	116	7	simulation	simulation	NOUN
arees-709	116	8	value	value	NOUN
arees-709	116	9	and	and	CCONJ
arees-709	116	10	observation	observation	NOUN
arees-709	116	11	value	value	NOUN
arees-709	116	12	.	.	PUNCT
arees-709	117	1	e	e	NOUN
arees-709	117	2	has	have	VERB
arees-709	117	3	a	a	DET
arees-709	117	4	value	value	NOUN
arees-709	117	5	of	of	ADP
arees-709	117	6	-	-	NUM
arees-709	117	7	to	to	ADP
arees-709	117	8	1	1	NUM
arees-709	117	9	.	.	PUNCT
arees-709	118	1	the	the	DET
arees-709	118	2	minimum	minimum	NOUN
arees-709	118	3	e	e	NOUN
arees-709	118	4	value	value	NOUN
arees-709	118	5	of	of	ADP
arees-709	118	6	0.9	0.9	NUM
arees-709	118	7	specifies	specifie	NOUN
arees-709	118	8	an	an	DET
arees-709	118	9	acceptable	acceptable	ADJ
arees-709	118	10	model	model	NOUN
arees-709	118	11	.	.	PUNCT
arees-709	119	1	3	3	X
arees-709	119	2	.	.	NOUN
arees-709	119	3	results	result	NOUN
arees-709	119	4	and	and	CCONJ
arees-709	119	5	discussion	discussion	NOUN
arees-709	119	6	in	in	ADP
arees-709	119	7	the	the	DET
arees-709	119	8	study	study	NOUN
arees-709	119	9	,	,	PUNCT
arees-709	119	10	the	the	DET
arees-709	119	11	daily	daily	ADJ
arees-709	119	12	data	datum	NOUN
arees-709	119	13	including	include	VERB
arees-709	119	14	air	air	NOUN
arees-709	119	15	and	and	CCONJ
arees-709	119	16	water	water	NOUN
arees-709	119	17	observation	observation	NOUN
arees-709	119	18	at	at	ADP
arees-709	119	19	bai	bai	PROPN
arees-709	119	20	chay	chay	PROPN
arees-709	119	21	station	station	NOUN
arees-709	119	22	of	of	ADP
arees-709	119	23	10	10	NUM
arees-709	119	24	years	year	NOUN
arees-709	119	25	(	(	PUNCT
arees-709	119	26	2008	2008	NUM
arees-709	119	27	-	-	SYM
arees-709	119	28	2017	2017	NUM
arees-709	119	29	)	)	PUNCT
arees-709	119	30	are	be	AUX
arees-709	119	31	used	use	VERB
arees-709	119	32	and	and	CCONJ
arees-709	119	33	divided	divide	VERB
arees-709	119	34	into	into	ADP
arees-709	119	35	2	2	NUM
arees-709	119	36	data	data	NOUN
arees-709	119	37	sets	set	NOUN
arees-709	119	38	:	:	PUNCT
arees-709	119	39	the	the	DET
arees-709	119	40	data	datum	NOUN
arees-709	119	41	set	set	VERB
arees-709	119	42	from	from	ADP
arees-709	119	43	2008	2008	NUM
arees-709	119	44	-	-	SYM
arees-709	119	45	2014	2014	NUM
arees-709	119	46	is	be	AUX
arees-709	119	47	used	use	VERB
arees-709	119	48	as	as	ADP
arees-709	119	49	learning	learn	VERB
arees-709	119	50	data	datum	NOUN
arees-709	119	51	(	(	PUNCT
arees-709	119	52	training	training	NOUN
arees-709	119	53	data	datum	NOUN
arees-709	119	54	)	)	PUNCT
arees-709	119	55	;	;	PUNCT
arees-709	119	56	the	the	DET
arees-709	119	57	data	datum	NOUN
arees-709	119	58	set	set	VERB
arees-709	119	59	from	from	ADP
arees-709	119	60	2015	2015	NUM
arees-709	119	61	-	-	SYM
arees-709	119	62	2017	2017	NUM
arees-709	119	63	is	be	AUX
arees-709	119	64	used	use	VERB
arees-709	119	65	as	as	ADP
arees-709	119	66	testing	test	VERB
arees-709	119	67	data	datum	NOUN
arees-709	119	68	.	.	PUNCT
arees-709	120	1	the	the	DET
arees-709	120	2	training	training	NOUN
arees-709	120	3	data	datum	NOUN
arees-709	120	4	(	(	PUNCT
arees-709	120	5	air	air	NOUN
arees-709	120	6	and	and	CCONJ
arees-709	120	7	water	water	NOUN
arees-709	120	8	temperature	temperature	NOUN
arees-709	120	9	data	datum	NOUN
arees-709	120	10	)	)	PUNCT
arees-709	120	11	are	be	AUX
arees-709	120	12	used	use	VERB
arees-709	120	13	for	for	ADP
arees-709	120	14	coefficient	coefficient	ADJ
arees-709	120	15	identifiation	identifiation	NOUN
arees-709	120	16	of	of	ADP
arees-709	120	17	regression	regression	NOUN
arees-709	120	18	models	model	NOUN
arees-709	120	19	including	include	VERB
arees-709	120	20	:	:	PUNCT
arees-709	120	21	simple	simple	ADJ
arees-709	120	22	linear	linear	NOUN
arees-709	120	23	(	(	PUNCT
arees-709	120	24	equation	equation	NOUN
arees-709	120	25	1	1	NUM
arees-709	120	26	)	)	PUNCT
arees-709	120	27	;	;	PUNCT
arees-709	120	28	nonlinear	nonlinear	ADJ
arees-709	120	29	regression	regression	NOUN
arees-709	120	30	model	model	NOUN
arees-709	120	31	(	(	PUNCT
arees-709	120	32	equation	equation	NOUN
arees-709	120	33	2	2	NUM
arees-709	120	34	)	)	PUNCT
arees-709	120	35	;	;	PUNCT
arees-709	120	36	stochastic	stochastic	ADJ
arees-709	120	37	model	model	NOUN
arees-709	120	38	(	(	PUNCT
arees-709	120	39	equation	equation	NOUN
arees-709	120	40	5	5	NUM
arees-709	120	41	)	)	PUNCT
arees-709	120	42	;	;	PUNCT
arees-709	120	43	artificial	artificial	ADJ
arees-709	120	44	neural	neural	ADJ
arees-709	120	45	network	network	NOUN
arees-709	120	46	model	model	NOUN
arees-709	120	47	(	(	PUNCT
arees-709	120	48	variables	variable	NOUN
arees-709	120	49	in	in	ADP
arees-709	120	50	table	table	NOUN
arees-709	120	51	1	1	NUM
arees-709	120	52	)	)	PUNCT
arees-709	120	53	.	.	PUNCT
arees-709	121	1	in	in	ADP
arees-709	121	2	the	the	DET
arees-709	121	3	testing	testing	NOUN
arees-709	121	4	data	datum	NOUN
arees-709	121	5	,	,	PUNCT
arees-709	121	6	air	air	NOUN
arees-709	121	7	temperature	temperature	NOUN
arees-709	121	8	data	datum	NOUN
arees-709	121	9	and	and	CCONJ
arees-709	121	10	outputs	output	NOUN
arees-709	121	11	of	of	ADP
arees-709	121	12	models	model	NOUN
arees-709	121	13	identifying	identify	VERB
arees-709	121	14	from	from	ADP
arees-709	121	15	training	training	NOUN
arees-709	121	16	data	datum	NOUN
arees-709	121	17	were	be	AUX
arees-709	121	18	used	use	VERB
arees-709	121	19	to	to	PART
arees-709	121	20	simulate	simulate	VERB
arees-709	121	21	water	water	NOUN
arees-709	121	22	temperature	temperature	NOUN
arees-709	121	23	.	.	PUNCT
arees-709	122	1	then	then	ADV
arees-709	122	2	,	,	PUNCT
arees-709	122	3	the	the	DET
arees-709	122	4	results	result	NOUN
arees-709	122	5	of	of	ADP
arees-709	122	6	comparision	comparision	NOUN
arees-709	122	7	between	between	ADP
arees-709	122	8	simulated	simulate	VERB
arees-709	122	9	and	and	CCONJ
arees-709	122	10	observed	observed	ADJ
arees-709	122	11	water	water	NOUN
arees-709	122	12	temperature	temperature	NOUN
arees-709	122	13	were	be	AUX
arees-709	122	14	implemented	implement	VERB
arees-709	122	15	through	through	ADP
arees-709	122	16	parameters	parameter	NOUN
arees-709	122	17	rmse	rmse	PROPN
arees-709	122	18	,	,	PUNCT
arees-709	122	19	r	r	NOUN
arees-709	122	20	,	,	PUNCT
arees-709	122	21	e	e	NOUN
arees-709	122	22	,	,	PUNCT
arees-709	122	23	lớp	lớp	X
arees-709	122	24	dữ	dữ	PROPN
arees-709	122	25	liệu	liệu	PROPN
arees-709	122	26	vào	vào	PROPN
arees-709	122	27	lớp	lớp	PROPN
arees-709	122	28	ẩn	ẩn	PROPN
arees-709	122	29	lớp	lớp	PROPN
arees-709	122	30	dữ	dữ	PROPN
arees-709	122	31	liệu	liệu	PROPN
arees-709	122	32	ra	ra	PROPN
arees-709	122	33	input	input	PROPN
arees-709	122	34	layers	layer	NOUN
arees-709	122	35	hidden	hide	VERB
arees-709	122	36	layer	layer	NOUN
arees-709	122	37	output	output	NOUN
arees-709	122	38	layer	layer	NOUN
arees-709	122	39	asian	asian	ADJ
arees-709	122	40	review	review	NOUN
arees-709	122	41	of	of	ADP
arees-709	122	42	environmental	environmental	ADJ
arees-709	122	43	and	and	CCONJ
arees-709	122	44	earth	earth	NOUN
arees-709	122	45	sciences	science	NOUN
arees-709	122	46	,	,	PUNCT
arees-709	122	47	2019	2019	NUM
arees-709	122	48	,	,	PUNCT
arees-709	122	49	6(1	6(1	NUM
arees-709	122	50	):	):	PUNCT
arees-709	122	51	1	1	NUM
arees-709	122	52	-	-	SYM
arees-709	122	53	8	8	NUM
arees-709	122	54	5	5	NUM
arees-709	122	55	©	©	PROPN
arees-709	122	56	2019	2019	NUM
arees-709	122	57	by	by	ADP
arees-709	122	58	the	the	DET
arees-709	122	59	authors	author	NOUN
arees-709	122	60	;	;	PUNCT
arees-709	122	61	licensee	licensee	PROPN
arees-709	122	62	asian	asian	ADJ
arees-709	122	63	online	online	PROPN
arees-709	122	64	journal	journal	PROPN
arees-709	122	65	publishing	publishing	NOUN
arees-709	122	66	group	group	PROPN
arees-709	122	67			NOUN
arees-709	122	68	simple	simple	ADJ
arees-709	122	69	linear	linear	PROPN
arees-709	122	70	regression	regression	NOUN
arees-709	122	71	model	model	NOUN
arees-709	122	72	the	the	DET
arees-709	122	73	coefficients	coefficient	NOUN
arees-709	122	74	of	of	ADP
arees-709	122	75	a	a	DET
arees-709	122	76	simple	simple	ADJ
arees-709	122	77	linear	linear	NOUN
arees-709	122	78	regression	regression	NOUN
arees-709	122	79	model	model	NOUN
arees-709	122	80	are	be	AUX
arees-709	122	81	identified	identify	VERB
arees-709	122	82	by	by	ADP
arees-709	122	83	training	train	VERB
arees-709	122	84	data	datum	NOUN
arees-709	122	85	set	set	VERB
arees-709	122	86	from	from	ADP
arees-709	122	87	2008	2008	NUM
arees-709	122	88	-	-	SYM
arees-709	122	89	2014	2014	NUM
arees-709	122	90	in	in	ADP
arees-709	122	91	excel	excel	NOUN
arees-709	122	92	software	software	NOUN
arees-709	122	93	.	.	PUNCT
arees-709	123	1	the	the	DET
arees-709	123	2	results	result	NOUN
arees-709	123	3	determine	determine	VERB
arees-709	123	4	parameters	parameter	NOUN
arees-709	123	5	as	as	SCONJ
arees-709	123	6	follows	follow	VERB
arees-709	123	7	:	:	PUNCT
arees-709	123	8	tw	tw	PROPN
arees-709	123	9	(	(	PUNCT
arees-709	123	10	t)=2.986	t)=2.986	PROPN
arees-709	123	11	+	+	NOUN
arees-709	123	12	0.874*ta(t	0.874*ta(t	NOUN
arees-709	123	13	)	)	PUNCT
arees-709	123	14	figure	figure	NOUN
arees-709	123	15	3	3	NUM
arees-709	123	16	depicts	depict	VERB
arees-709	123	17	the	the	DET
arees-709	123	18	difference	difference	NOUN
arees-709	123	19	between	between	ADP
arees-709	123	20	the	the	DET
arees-709	123	21	observed	observe	VERB
arees-709	123	22	and	and	CCONJ
arees-709	123	23	the	the	DET
arees-709	123	24	simulated	simulate	VERB
arees-709	123	25	data	datum	NOUN
arees-709	123	26	of	of	ADP
arees-709	123	27	the	the	DET
arees-709	123	28	model	model	NOUN
arees-709	123	29	.	.	PUNCT
arees-709	124	1	the	the	DET
arees-709	124	2	evaluation	evaluation	NOUN
arees-709	124	3	of	of	ADP
arees-709	124	4	accuracy	accuracy	NOUN
arees-709	124	5	results	result	NOUN
arees-709	124	6	are	be	AUX
arees-709	124	7	shown	show	VERB
arees-709	124	8	in	in	ADP
arees-709	124	9	table	table	NOUN
arees-709	124	10	2	2	NUM
arees-709	124	11	.	.	PUNCT
arees-709	125	1	in	in	ADP
arees-709	125	2	which	which	PRON
arees-709	125	3	,	,	PUNCT
arees-709	125	4	the	the	DET
arees-709	125	5	correlation	correlation	NOUN
arees-709	125	6	coefficient	coefficient	NOUN
arees-709	125	7	between	between	ADP
arees-709	125	8	water	water	NOUN
arees-709	125	9	temperature	temperature	NOUN
arees-709	125	10	and	and	CCONJ
arees-709	125	11	air	air	NOUN
arees-709	125	12	temperature	temperature	NOUN
arees-709	125	13	at	at	ADP
arees-709	125	14	bai	bai	PROPN
arees-709	125	15	chay	chay	PROPN
arees-709	125	16	station	station	NOUN
arees-709	125	17	are	be	AUX
arees-709	125	18	r	r	NOUN
arees-709	125	19	=	=	NOUN
arees-709	125	20	0.89	0.89	NUM
arees-709	125	21	;	;	PUNCT
arees-709	125	22	rmse	rmse	NOUN
arees-709	125	23	=	=	NOUN
arees-709	125	24	1.68	1.68	NUM
arees-709	125	25	.	.	PUNCT
arees-709	126	1	however	however	ADV
arees-709	126	2	,	,	PUNCT
arees-709	126	3	nashsutcliffe	nashsutcliffe	ADJ
arees-709	126	4	coefficient	coefficient	NOUN
arees-709	126	5	e	e	NOUN
arees-709	126	6	=	=	NOUN
arees-709	126	7	0.89	0.89	NUM
arees-709	126	8	<	<	NUM
arees-709	126	9	0.9	0.9	NUM
arees-709	126	10	shows	show	NOUN
arees-709	126	11	,	,	PUNCT
arees-709	126	12	this	this	DET
arees-709	126	13	model	model	NOUN
arees-709	126	14	has	have	VERB
arees-709	126	15	a	a	DET
arees-709	126	16	poor	poor	ADJ
arees-709	126	17	accuracy	accuracy	NOUN
arees-709	126	18	.	.	PUNCT
arees-709	127	1			X
arees-709	127	2	nonlinear	nonlinear	PROPN
arees-709	127	3	regression	regression	PROPN
arees-709	127	4	model	model	PROPN
arees-709	127	5	nonlinear	nonlinear	PROPN
arees-709	127	6	regression	regression	PROPN
arees-709	127	7	model	model	NOUN
arees-709	127	8	is	be	AUX
arees-709	127	9	applied	apply	VERB
arees-709	127	10	similarly	similarly	ADV
arees-709	127	11	to	to	PART
arees-709	127	12	linear	linear	VERB
arees-709	127	13	regression	regression	NOUN
arees-709	127	14	model	model	NOUN
arees-709	127	15	with	with	ADP
arees-709	127	16	logistic	logistic	ADJ
arees-709	127	17	nonlinear	nonlinear	ADJ
arees-709	127	18	regression	regression	NOUN
arees-709	127	19	in	in	ADP
arees-709	127	20	solver	solver	ADJ
arees-709	127	21	function	function	NOUN
arees-709	127	22	in	in	ADP
arees-709	127	23	excel	excel	ADJ
arees-709	127	24	software	software	NOUN
arees-709	127	25	for	for	ADP
arees-709	127	26	training	training	NOUN
arees-709	127	27	data	datum	NOUN
arees-709	127	28	2008	2008	NUM
arees-709	127	29	-	-	SYM
arees-709	127	30	2014	2014	NUM
arees-709	127	31	.	.	PUNCT
arees-709	128	1	the	the	DET
arees-709	128	2	output	output	NOUN
arees-709	128	3	of	of	ADP
arees-709	128	4	model	model	NOUN
arees-709	128	5	enable	enable	ADJ
arees-709	128	6	to	to	PART
arees-709	128	7	identify	identify	VERB
arees-709	128	8	parameter	parameter	NOUN
arees-709	128	9	of	of	ADP
arees-709	128	10	equation	equation	NOUN
arees-709	128	11	(	(	PUNCT
arees-709	128	12	2	2	NUM
arees-709	128	13	)	)	PUNCT
arees-709	128	14	as	as	SCONJ
arees-709	128	15	follows	follow	VERB
arees-709	128	16	:	:	PUNCT
arees-709	128	17	figure	figure	VERB
arees-709	128	18	4	4	NUM
arees-709	128	19	depicts	depict	VERB
arees-709	128	20	the	the	DET
arees-709	128	21	difference	difference	NOUN
arees-709	128	22	between	between	ADP
arees-709	128	23	observed	observed	ADJ
arees-709	128	24	and	and	CCONJ
arees-709	128	25	simulated	simulated	ADJ
arees-709	128	26	data	datum	NOUN
arees-709	128	27	of	of	ADP
arees-709	128	28	nonlinear	nonlinear	ADJ
arees-709	128	29	regression	regression	NOUN
arees-709	128	30	models	model	NOUN
arees-709	128	31	.	.	PUNCT
arees-709	129	1	the	the	DET
arees-709	129	2	results	result	NOUN
arees-709	129	3	of	of	ADP
arees-709	129	4	the	the	DET
arees-709	129	5	model	model	NOUN
arees-709	129	6	implementation	implementation	NOUN
arees-709	129	7	are	be	AUX
arees-709	129	8	shown	show	VERB
arees-709	129	9	in	in	ADP
arees-709	129	10	table	table	NOUN
arees-709	129	11	2	2	NUM
arees-709	129	12	.	.	PUNCT
arees-709	130	1	in	in	ADP
arees-709	130	2	which	which	PRON
arees-709	130	3	,	,	PUNCT
arees-709	130	4	the	the	DET
arees-709	130	5	correlation	correlation	NOUN
arees-709	130	6	coefficient	coefficient	NOUN
arees-709	130	7	between	between	ADP
arees-709	130	8	water	water	NOUN
arees-709	130	9	and	and	CCONJ
arees-709	130	10	air	air	NOUN
arees-709	130	11	temperature	temperature	NOUN
arees-709	130	12	at	at	ADP
arees-709	130	13	bai	bai	PROPN
arees-709	130	14	chay	chay	PROPN
arees-709	130	15	station	station	NOUN
arees-709	130	16	is	be	AUX
arees-709	130	17	r	r	NOUN
arees-709	130	18	=	=	SYM
arees-709	130	19	0.9	0.9	NUM
arees-709	130	20	;	;	PUNCT
arees-709	130	21	root	root	NOUN
arees-709	130	22	mean	mean	VERB
arees-709	130	23	square	square	ADJ
arees-709	130	24	error	error	NOUN
arees-709	130	25	rmse	rmse	NOUN
arees-709	130	26	=	=	SYM
arees-709	130	27	1.6	1.6	NUM
arees-709	130	28	and	and	CCONJ
arees-709	130	29	nashsutcliffe	nashsutcliffe	ADJ
arees-709	130	30	coefficient	coefficient	NOUN
arees-709	130	31	e	e	NOUN
arees-709	130	32	=	=	NOUN
arees-709	130	33	0,9	0,9	NUM
arees-709	130	34	shows	show	VERB
arees-709	130	35	that	that	SCONJ
arees-709	130	36	this	this	DET
arees-709	130	37	model	model	NOUN
arees-709	130	38	could	could	AUX
arees-709	130	39	be	be	AUX
arees-709	130	40	applied	apply	VERB
arees-709	130	41	for	for	ADP
arees-709	130	42	the	the	DET
arees-709	130	43	calculation	calculation	NOUN
arees-709	130	44	of	of	ADP
arees-709	130	45	water	water	NOUN
arees-709	130	46	temperature	temperature	NOUN
arees-709	130	47	from	from	ADP
arees-709	130	48	air	air	NOUN
arees-709	130	49	temperature	temperature	NOUN
arees-709	130	50	values	value	NOUN
arees-709	130	51	.	.	PUNCT
arees-709	131	1			X
arees-709	131	2	stochastic	stochastic	ADJ
arees-709	131	3	model	model	NOUN
arees-709	131	4	by	by	ADP
arees-709	131	5	using	use	VERB
arees-709	131	6	the	the	DET
arees-709	131	7	2	2	NUM
arees-709	131	8	-	-	PUNCT
arees-709	131	9	day	day	NOUN
arees-709	131	10	time	time	NOUN
arees-709	131	11	lag	lag	NOUN
arees-709	131	12	(	(	PUNCT
arees-709	131	13	t-1	t-1	PROPN
arees-709	131	14	)	)	PUNCT
arees-709	131	15	and	and	CCONJ
arees-709	131	16	(	(	PUNCT
arees-709	131	17	t-2	t-2	NUM
arees-709	131	18	)	)	PUNCT
arees-709	131	19	,	,	PUNCT
arees-709	131	20	parameters	parameter	NOUN
arees-709	131	21	of	of	ADP
arees-709	131	22	the	the	DET
arees-709	131	23	stochastic	stochastic	ADJ
arees-709	131	24	model	model	NOUN
arees-709	131	25	are	be	AUX
arees-709	131	26	calculated	calculate	VERB
arees-709	131	27	:	:	PUNCT
arees-709	131	28	[	[	PUNCT
arees-709	131	29	]	]	X
arees-709	131	30	in	in	ADP
arees-709	131	31	the	the	DET
arees-709	131	32	table	table	NOUN
arees-709	131	33	2	2	NUM
arees-709	131	34	,	,	PUNCT
arees-709	131	35	the	the	DET
arees-709	131	36	accracy	accracy	NOUN
arees-709	131	37	indicators	indicator	NOUN
arees-709	131	38	of	of	ADP
arees-709	131	39	model	model	NOUN
arees-709	131	40	r	r	NOUN
arees-709	131	41	=	=	SYM
arees-709	131	42	0.94	0.94	NUM
arees-709	131	43	;	;	PUNCT
arees-709	131	44	rmse	rmse	NOUN
arees-709	131	45	=	=	SYM
arees-709	131	46	1.4	1.4	NUM
arees-709	131	47	;	;	PUNCT
arees-709	131	48	nashsutcliffe	nashsutcliffe	ADJ
arees-709	131	49	coefficient	coefficient	NOUN
arees-709	131	50	e	e	X
arees-709	131	51	=	=	SYM
arees-709	131	52	0.92	0.92	NUM
arees-709	131	53	,	,	PUNCT
arees-709	131	54	show	show	VERB
arees-709	131	55	the	the	DET
arees-709	131	56	stochastic	stochastic	ADJ
arees-709	131	57	model	model	NOUN
arees-709	131	58	is	be	AUX
arees-709	131	59	the	the	DET
arees-709	131	60	outperform	outperform	NOUN
arees-709	131	61	of	of	ADP
arees-709	131	62	these	these	DET
arees-709	131	63	regression	regression	NOUN
arees-709	131	64	model	model	NOUN
arees-709	131	65	.	.	PUNCT
arees-709	132	1	figure	figure	NOUN
arees-709	132	2	5	5	NUM
arees-709	132	3	describes	describe	VERB
arees-709	132	4	the	the	DET
arees-709	132	5	correlation	correlation	NOUN
arees-709	132	6	coefficient	coefficient	NOUN
arees-709	132	7	between	between	ADP
arees-709	132	8	water	water	NOUN
arees-709	132	9	and	and	CCONJ
arees-709	132	10	air	air	NOUN
arees-709	132	11	temperature	temperature	NOUN
arees-709	132	12	at	at	ADP
arees-709	132	13	the	the	DET
arees-709	132	14	bai	bai	PROPN
arees-709	132	15	chay	chay	PROPN
arees-709	132	16	station	station	NOUN
arees-709	132	17	.	.	PUNCT
arees-709	133	1	it	it	PRON
arees-709	133	2	also	also	ADV
arees-709	133	3	show	show	VERB
arees-709	133	4	that	that	SCONJ
arees-709	133	5	the	the	DET
arees-709	133	6	water	water	NOUN
arees-709	133	7	temperature	temperature	NOUN
arees-709	133	8	is	be	AUX
arees-709	133	9	not	not	PART
arees-709	133	10	only	only	ADV
arees-709	133	11	influenced	influence	VERB
arees-709	133	12	by	by	ADP
arees-709	133	13	the	the	DET
arees-709	133	14	daily	daily	ADJ
arees-709	133	15	maximum	maximum	ADJ
arees-709	133	16	air	air	NOUN
arees-709	133	17	temperature	temperature	NOUN
arees-709	133	18	but	but	CCONJ
arees-709	133	19	it	it	PRON
arees-709	133	20	is	be	AUX
arees-709	133	21	also	also	ADV
arees-709	133	22	greatly	greatly	ADV
arees-709	133	23	influenced	influence	VERB
arees-709	133	24	by	by	ADP
arees-709	133	25	the	the	DET
arees-709	133	26	temperature	temperature	NOUN
arees-709	133	27	value	value	NOUN
arees-709	133	28	of	of	ADP
arees-709	133	29	the	the	DET
arees-709	133	30	previous	previous	ADJ
arees-709	133	31	2	2	NUM
arees-709	133	32	days	day	NOUN
arees-709	133	33	.	.	PUNCT
arees-709	134	1	this	this	PRON
arees-709	134	2	means	mean	VERB
arees-709	134	3	that	that	SCONJ
arees-709	134	4	when	when	SCONJ
arees-709	134	5	the	the	DET
arees-709	134	6	air	air	NOUN
arees-709	134	7	temperature	temperature	NOUN
arees-709	134	8	rises	rise	VERB
arees-709	134	9	or	or	CCONJ
arees-709	134	10	falls	fall	VERB
arees-709	134	11	suddenly	suddenly	ADV
arees-709	134	12	,	,	PUNCT
arees-709	134	13	the	the	DET
arees-709	134	14	water	water	NOUN
arees-709	134	15	temperature	temperature	NOUN
arees-709	134	16	continues	continue	VERB
arees-709	134	17	to	to	PART
arees-709	134	18	fluctuate	fluctuate	VERB
arees-709	134	19	more	more	ADV
arees-709	134	20	slowly	slowly	ADV
arees-709	134	21	in	in	ADP
arees-709	134	22	about	about	ADV
arees-709	134	23	2	2	NUM
arees-709	134	24	days	day	NOUN
arees-709	134	25	(	(	PUNCT
arees-709	134	26	48	48	NUM
arees-709	134	27	hours	hour	NOUN
arees-709	134	28	)	)	PUNCT
arees-709	134	29	.	.	PUNCT
arees-709	135	1			X
arees-709	135	2	artificial	artificial	ADJ
arees-709	135	3	neural	neural	ADJ
arees-709	135	4	network	network	NOUN
arees-709	135	5	model	model	NOUN
arees-709	135	6	the	the	DET
arees-709	135	7	calculation	calculation	NOUN
arees-709	135	8	of	of	ADP
arees-709	135	9	network	network	NOUN
arees-709	135	10	neurals	neural	NOUN
arees-709	135	11	is	be	AUX
arees-709	135	12	done	do	VERB
arees-709	135	13	by	by	ADP
arees-709	135	14	nntool	nntool	NOUN
arees-709	135	15	of	of	ADP
arees-709	135	16	matlab	matlab	PROPN
arees-709	135	17	2018a	2018a	NOUN
arees-709	135	18	software	software	NOUN
arees-709	135	19	,	,	PUNCT
arees-709	135	20	through	through	ADP
arees-709	135	21	3	3	NUM
arees-709	135	22	steps	step	NOUN
arees-709	135	23	step	step	NOUN
arees-709	135	24	1	1	NUM
arees-709	135	25	:	:	PUNCT
arees-709	135	26	network	network	NOUN
arees-709	135	27	training	training	NOUN
arees-709	135	28	network	network	NOUN
arees-709	135	29	training	training	NOUN
arees-709	135	30	is	be	AUX
arees-709	135	31	done	do	VERB
arees-709	135	32	through	through	ADP
arees-709	135	33	a	a	DET
arees-709	135	34	training	training	NOUN
arees-709	135	35	data	datum	NOUN
arees-709	135	36	set	set	VERB
arees-709	135	37	.	.	PUNCT
arees-709	136	1	each	each	DET
arees-709	136	2	mlp	mlp	PROPN
arees-709	136	3	network	network	PROPN
arees-709	136	4	configuration	configuration	NOUN
arees-709	136	5	is	be	AUX
arees-709	136	6	performed	perform	VERB
arees-709	136	7	with	with	ADP
arees-709	136	8	the	the	DET
arees-709	136	9	maximum	maximum	ADJ
arees-709	136	10	number	number	NOUN
arees-709	136	11	of	of	ADP
arees-709	136	12	iterations	iteration	NOUN
arees-709	136	13	1000	1000	NUM
arees-709	136	14	times	time	NOUN
arees-709	136	15	(	(	PUNCT
arees-709	136	16	1000	1000	NUM
arees-709	136	17	epoch	epoch	NOUN
arees-709	136	18	)	)	PUNCT
arees-709	136	19	.	.	PUNCT
arees-709	137	1	in	in	ADP
arees-709	137	2	the	the	DET
arees-709	137	3	training	training	NOUN
arees-709	137	4	set	set	NOUN
arees-709	137	5	,	,	PUNCT
arees-709	137	6	input	input	NOUN
arees-709	137	7	variables	variable	NOUN
arees-709	137	8	are	be	AUX
arees-709	137	9	neurons	neuron	NOUN
arees-709	137	10	from	from	ADP
arees-709	137	11	mlp1	mlp1	PROPN
arees-709	137	12	to	to	ADP
arees-709	137	13	mlp10	mlp10	PROPN
arees-709	137	14	(	(	PUNCT
arees-709	137	15	table	table	NOUN
arees-709	137	16	1	1	NUM
arees-709	137	17	)	)	PUNCT
arees-709	137	18	.	.	PUNCT
arees-709	138	1	through	through	ADP
arees-709	138	2	training	training	NOUN
arees-709	138	3	data	datum	NOUN
arees-709	138	4	set	set	VERB
arees-709	138	5	,	,	PUNCT
arees-709	138	6	bias	bias	NOUN
arees-709	138	7	and	and	CCONJ
arees-709	138	8	weights	weight	NOUN
arees-709	138	9	through	through	ADP
arees-709	138	10	each	each	DET
arees-709	138	11	loop	loop	NOUN
arees-709	138	12	are	be	AUX
arees-709	138	13	identified	identify	VERB
arees-709	138	14	and	and	CCONJ
arees-709	138	15	adjusted	adjust	VERB
arees-709	138	16	.	.	PUNCT
arees-709	139	1	in	in	ADP
arees-709	139	2	this	this	DET
arees-709	139	3	study	study	NOUN
arees-709	139	4	,	,	PUNCT
arees-709	139	5	the	the	DET
arees-709	139	6	algorithm	algorithm	NOUN
arees-709	139	7	used	use	VERB
arees-709	139	8	is	be	AUX
arees-709	139	9	feed	feed	NOUN
arees-709	139	10	-	-	PUNCT
arees-709	139	11	forward	forward	NOUN
arees-709	139	12	back	back	ADJ
arees-709	139	13	drop	drop	NOUN
arees-709	139	14	,	,	PUNCT
arees-709	139	15	levenbergmarquardt	levenbergmarquardt	NOUN
arees-709	139	16	(	(	PUNCT
arees-709	139	17	lma	lma	PROPN
arees-709	139	18	)	)	PUNCT
arees-709	139	19	algorithm	algorithm	NOUN
arees-709	139	20	–	–	PUNCT
arees-709	139	21	trainml	trainml	NOUN
arees-709	139	22	in	in	ADP
arees-709	139	23	matlap	matlap	PROPN
arees-709	139	24	software	software	NOUN
arees-709	139	25	.	.	PUNCT
arees-709	140	1	table-1	table-1	PRON
arees-709	140	2	.	.	PUNCT
arees-709	141	1	variables	variable	NOUN
arees-709	141	2	in	in	ADP
arees-709	141	3	the	the	DET
arees-709	141	4	artificial	artificial	ADJ
arees-709	141	5	neural	neural	ADJ
arees-709	141	6	network	network	NOUN
arees-709	141	7	model	model	NOUN
arees-709	141	8	no	no	DET
arees-709	141	9	neuron	neuron	NOUN
arees-709	141	10	in	in	ADP
arees-709	141	11	the	the	DET
arees-709	141	12	network	network	NOUN
arees-709	141	13	interpretation	interpretation	NOUN
arees-709	141	14	1	1	NUM
arees-709	141	15	mlp1	mlp1	PROPN
arees-709	141	16	:	:	PUNCT
arees-709	141	17	ta_max	ta_max	PROPN
arees-709	141	18	consider	consider	VERB
arees-709	141	19	the	the	DET
arees-709	141	20	effect	effect	NOUN
arees-709	141	21	of	of	ADP
arees-709	141	22	daily	daily	ADJ
arees-709	141	23	maximum	maximum	ADJ
arees-709	141	24	air	air	NOUN
arees-709	141	25	temperature	temperature	NOUN
arees-709	141	26	2	2	NUM
arees-709	141	27	mlp2	mlp2	NOUN
arees-709	141	28	:	:	PUNCT
arees-709	141	29	ta_max	ta_max	PROPN
arees-709	141	30	,	,	PUNCT
arees-709	141	31	ta_tb	ta_tb	PRON
arees-709	141	32	consider	consider	VERB
arees-709	141	33	the	the	DET
arees-709	141	34	effect	effect	NOUN
arees-709	141	35	of	of	ADP
arees-709	141	36	maximum	maximum	ADJ
arees-709	141	37	and	and	CCONJ
arees-709	141	38	average	average	ADJ
arees-709	141	39	daily	daily	ADJ
arees-709	141	40	air	air	NOUN
arees-709	141	41	temperature	temperature	NOUN
arees-709	141	42	3	3	NUM
arees-709	141	43	mlp3	mlp3	NOUN
arees-709	141	44	:	:	PUNCT
arees-709	141	45	ta_max	ta_max	PROPN
arees-709	141	46	,	,	PUNCT
arees-709	141	47	ta_tb	ta_tb	NOUN
arees-709	141	48	,	,	PUNCT
arees-709	141	49	ta_tb	ta_tb	PROPN
arees-709	141	50	-1	-1	PUNCT
arees-709	141	51	consider	consider	VERB
arees-709	141	52	the	the	DET
arees-709	141	53	correlation	correlation	NOUN
arees-709	141	54	of	of	ADP
arees-709	141	55	1	1	NUM
arees-709	141	56	day	day	NOUN
arees-709	141	57	lag	lag	NOUN
arees-709	141	58	of	of	ADP
arees-709	141	59	water	water	NOUN
arees-709	141	60	temperature	temperature	NOUN
arees-709	141	61	with	with	ADP
arees-709	141	62	air	air	NOUN
arees-709	141	63	temperature	temperature	NOUN
arees-709	141	64	4	4	NUM
arees-709	141	65	mlp4	mlp4	NOUN
arees-709	141	66	:	:	PUNCT
arees-709	141	67	ta_max	ta_max	PROPN
arees-709	141	68	,	,	PUNCT
arees-709	141	69	ta_tb	ta_tb	NOUN
arees-709	141	70	,	,	PUNCT
arees-709	141	71	ta_tb	ta_tb	NOUN
arees-709	141	72	-1	-1	NOUN
arees-709	141	73	,	,	PUNCT
arees-709	141	74	ta_tb	ta_tb	PROPN
arees-709	141	75	-2	-2	INTJ
arees-709	141	76	consider	consider	VERB
arees-709	141	77	the	the	DET
arees-709	141	78	correlation	correlation	NOUN
arees-709	141	79	of	of	ADP
arees-709	141	80	the	the	DET
arees-709	141	81	2	2	NUM
arees-709	141	82	-	-	PUNCT
arees-709	141	83	day	day	NOUN
arees-709	141	84	lag	lag	NOUN
arees-709	141	85	of	of	ADP
arees-709	141	86	the	the	DET
arees-709	141	87	average	average	ADJ
arees-709	141	88	air	air	NOUN
arees-709	141	89	temperature	temperature	NOUN
arees-709	141	90	with	with	ADP
arees-709	141	91	the	the	DET
arees-709	141	92	water	water	NOUN
arees-709	141	93	temperature	temperature	NOUN
arees-709	141	94	ta_tb	ta_tb	PROPN
arees-709	141	95	-2	-2	INTJ
arees-709	141	96	:	:	PUNCT
arees-709	141	97	daily	daily	ADJ
arees-709	141	98	average	average	ADJ
arees-709	141	99	air	air	NOUN
arees-709	141	100	temperature	temperature	NOUN
arees-709	141	101	in	in	ADP
arees-709	141	102	2	2	NUM
arees-709	141	103	day	day	NOUN
arees-709	141	104	before	before	ADP
arees-709	141	105	5	5	NUM
arees-709	141	106	mlp5	mlp5	NOUN
arees-709	141	107	:	:	PUNCT
arees-709	141	108	ta_max	ta_max	PROPN
arees-709	141	109	,	,	PUNCT
arees-709	141	110	ta_tb	ta_tb	NOUN
arees-709	141	111	,	,	PUNCT
arees-709	141	112	ta_tb	ta_tb	NOUN
arees-709	141	113	-1	-1	NOUN
arees-709	141	114	,	,	PUNCT
arees-709	141	115	ta_tb	ta_tb	PROPN
arees-709	141	116	-2	-2	NOUN
arees-709	141	117	,	,	PUNCT
arees-709	141	118	ta_max	ta_max	PROPN
arees-709	141	119	-1	-1	PUNCT
arees-709	141	120	consider	consider	VERB
arees-709	141	121	the	the	DET
arees-709	141	122	relation	relation	NOUN
arees-709	141	123	of	of	ADP
arees-709	141	124	1	1	NUM
arees-709	141	125	-	-	SYM
arees-709	141	126	2	2	NUM
arees-709	141	127	day	day	NOUN
arees-709	141	128	lag	lag	NOUN
arees-709	141	129	of	of	ADP
arees-709	141	130	average	average	ADJ
arees-709	141	131	air	air	NOUN
arees-709	141	132	temperature	temperature	NOUN
arees-709	141	133	,	,	PUNCT
arees-709	141	134	maximum	maximum	ADJ
arees-709	141	135	air	air	NOUN
arees-709	141	136	temperature	temperature	NOUN
arees-709	141	137	with	with	ADP
arees-709	141	138	water	water	NOUN
arees-709	141	139	temperature	temperature	NOUN
arees-709	141	140	6	6	NUM
arees-709	141	141	mlp6	mlp6	NOUN
arees-709	141	142	:	:	PUNCT
arees-709	142	1	ta_max	ta_max	PROPN
arees-709	142	2	,	,	PUNCT
arees-709	142	3	ta_tb	ta_tb	NOUN
arees-709	142	4	,	,	PUNCT
arees-709	142	5	ta_tb	ta_tb	NOUN
arees-709	142	6	-1	-1	NOUN
arees-709	142	7	,	,	PUNCT
arees-709	142	8	ta_tb-2	ta_tb-2	NOUN
arees-709	142	9	,	,	PUNCT
arees-709	142	10	ta_max	ta_max	PROPN
arees-709	142	11	-1	-1	X
arees-709	142	12	,	,	PUNCT
arees-709	142	13	ta_max	ta_max	PROPN
arees-709	142	14	-2	-2	PUNCT
arees-709	143	1	7	7	NUM
arees-709	143	2	mlp7	mlp7	NOUN
arees-709	143	3	:	:	PUNCT
arees-709	143	4	ta_max	ta_max	PROPN
arees-709	143	5	,	,	PUNCT
arees-709	143	6	ta_tb	ta_tb	NOUN
arees-709	143	7	,	,	PUNCT
arees-709	143	8	ta_max	ta_max	PROPN
arees-709	143	9	(	(	PUNCT
arees-709	143	10	0,1,2	0,1,2	NUM
arees-709	143	11	)	)	PUNCT
arees-709	143	12	,	,	PUNCT
arees-709	143	13	ta_tb	ta_tb	PROPN
arees-709	143	14	(	(	PUNCT
arees-709	143	15	0,1,2	0,1,2	X
arees-709	143	16	)	)	PUNCT
arees-709	143	17	consider	consider	VERB
arees-709	143	18	the	the	DET
arees-709	143	19	correlation	correlation	NOUN
arees-709	143	20	of	of	ADP
arees-709	143	21	ta_max	ta_max	PROPN
arees-709	143	22	variation	variation	NOUN
arees-709	143	23	in	in	ADP
arees-709	143	24	3	3	NUM
arees-709	143	25	days	day	NOUN
arees-709	143	26	,	,	PUNCT
arees-709	143	27	1	1	NUM
arees-709	143	28	-	-	SYM
arees-709	143	29	2	2	NUM
arees-709	143	30	day	day	NOUN
arees-709	143	31	lag	lag	NOUN
arees-709	143	32	of	of	ADP
arees-709	143	33	average	average	ADJ
arees-709	143	34	air	air	NOUN
arees-709	143	35	temperature	temperature	NOUN
arees-709	143	36	,	,	PUNCT
arees-709	143	37	maximum	maximum	ADJ
arees-709	143	38	air	air	NOUN
arees-709	143	39	temperature	temperature	NOUN
arees-709	143	40	with	with	ADP
arees-709	143	41	water	water	NOUN
arees-709	143	42	temperature	temperature	NOUN
arees-709	143	43	8	8	NUM
arees-709	143	44	mlp8	mlp8	NOUN
arees-709	143	45	:	:	PUNCT
arees-709	143	46	ta_max	ta_max	PROPN
arees-709	143	47	,	,	PUNCT
arees-709	143	48	ta_tb	ta_tb	NOUN
arees-709	143	49	,	,	PUNCT
arees-709	143	50	ta_max	ta_max	PROPN
arees-709	143	51	(	(	PUNCT
arees-709	143	52	0,1,2	0,1,2	NUM
arees-709	143	53	)	)	PUNCT
arees-709	143	54	,	,	PUNCT
arees-709	143	55	ta_tb	ta_tb	PROPN
arees-709	143	56	(	(	PUNCT
arees-709	143	57	0,1,2	0,1,2	NUM
arees-709	143	58	)	)	PUNCT
arees-709	143	59	,	,	PUNCT
arees-709	143	60	ta_tb	ta_tb	NOUN
arees-709	143	61	-1	-1	NOUN
arees-709	143	62	,	,	PUNCT
arees-709	143	63	ta_tb	ta_tb	PROPN
arees-709	143	64	-2	-2	INTJ
arees-709	143	65	,	,	PUNCT
arees-709	143	66	ta_max	ta_max	PROPN
arees-709	143	67	-1	-1	PROPN
arees-709	143	68	,	,	PUNCT
arees-709	143	69	ta_max	ta_max	PROPN
arees-709	143	70	-2	-2	X
arees-709	143	71	considering	consider	VERB
arees-709	143	72	the	the	DET
arees-709	143	73	correlation	correlation	NOUN
arees-709	143	74	of	of	ADP
arees-709	143	75	the	the	DET
arees-709	143	76	average	average	ADJ
arees-709	143	77	progress	progress	NOUN
arees-709	143	78	in	in	ADP
arees-709	143	79	3	3	NUM
arees-709	143	80	days	day	NOUN
arees-709	143	81	9	9	NUM
arees-709	143	82	mlp9	mlp9	NOUN
arees-709	143	83	:	:	PUNCT
arees-709	143	84	ta_max	ta_max	PROPN
arees-709	143	85	,	,	PUNCT
arees-709	143	86	ta_tb	ta_tb	NOUN
arees-709	143	87	,	,	PUNCT
arees-709	143	88	ta_max	ta_max	PROPN
arees-709	143	89	(	(	PUNCT
arees-709	143	90	0,1,2	0,1,2	NUM
arees-709	143	91	)	)	PUNCT
arees-709	143	92	,	,	PUNCT
arees-709	143	93	ta_max	ta_max	PROPN
arees-709	143	94	-1	-1	X
arees-709	143	95	,	,	PUNCT
arees-709	143	96	ta_max	ta_max	PROPN
arees-709	143	97	-2	-2	X
arees-709	143	98	considering	consider	VERB
arees-709	143	99	the	the	DET
arees-709	143	100	correlation	correlation	NOUN
arees-709	143	101	between	between	ADP
arees-709	143	102	variation	variation	NOUN
arees-709	143	103	of	of	ADP
arees-709	143	104	ta_max	ta_max	PROPN
arees-709	143	105	in	in	ADP
arees-709	143	106	3	3	NUM
arees-709	143	107	days	day	NOUN
arees-709	143	108	,	,	PUNCT
arees-709	143	109	12	12	NUM
arees-709	143	110	day	day	NOUN
arees-709	143	111	lag	lag	NOUN
arees-709	143	112	of	of	ADP
arees-709	143	113	air	air	NOUN
arees-709	143	114	temperature	temperature	NOUN
arees-709	143	115	,	,	PUNCT
arees-709	143	116	max	max	PROPN
arees-709	143	117	air	air	NOUN
arees-709	143	118	temperature	temperature	NOUN
arees-709	143	119	with	with	ADP
arees-709	143	120	water	water	NOUN
arees-709	143	121	temperature	temperature	NOUN
arees-709	143	122	10	10	NUM
arees-709	143	123	mlp10	mlp10	NOUN
arees-709	143	124	:	:	PUNCT
arees-709	143	125	ta_max	ta_max	PROPN
arees-709	143	126	,	,	PUNCT
arees-709	143	127	ta_max	ta_max	PROPN
arees-709	143	128	(	(	PUNCT
arees-709	143	129	0,1,2	0,1,2	NUM
arees-709	143	130	)	)	PUNCT
arees-709	143	131	,	,	PUNCT
arees-709	143	132	ta_max	ta_max	PROPN
arees-709	143	133	1	1	NUM
arees-709	143	134	,	,	PUNCT
arees-709	143	135	ta_max	ta_max	PROPN
arees-709	143	136	-2	-2	X
arees-709	143	137	consider	consider	VERB
arees-709	143	138	the	the	DET
arees-709	143	139	correlation	correlation	NOUN
arees-709	143	140	of	of	ADP
arees-709	143	141	the	the	DET
arees-709	143	142	progress	progress	NOUN
arees-709	143	143	and	and	CCONJ
arees-709	143	144	latency	latency	NOUN
arees-709	143	145	of	of	ADP
arees-709	143	146	max	max	PROPN
arees-709	143	147	air	air	PROPN
arees-709	143	148	temperature	temperature	NOUN
arees-709	143	149	with	with	ADP
arees-709	143	150	water	water	NOUN
arees-709	143	151	temperature	temperature	NOUN
arees-709	143	152	source	source	NOUN
arees-709	143	153	:	:	PUNCT
arees-709	143	154	defined	define	VERB
arees-709	143	155	by	by	ADP
arees-709	143	156	the	the	DET
arees-709	143	157	author	author	NOUN
arees-709	143	158	asian	asian	ADJ
arees-709	143	159	review	review	NOUN
arees-709	143	160	of	of	ADP
arees-709	143	161	environmental	environmental	ADJ
arees-709	143	162	and	and	CCONJ
arees-709	143	163	earth	earth	NOUN
arees-709	143	164	sciences	science	NOUN
arees-709	143	165	,	,	PUNCT
arees-709	143	166	2019	2019	NUM
arees-709	143	167	,	,	PUNCT
arees-709	143	168	6(1	6(1	NUM
arees-709	143	169	):	):	PUNCT
arees-709	143	170	1	1	NUM
arees-709	143	171	-	-	SYM
arees-709	143	172	8	8	NUM
arees-709	143	173	6	6	NUM
arees-709	143	174	©	©	PROPN
arees-709	143	175	2019	2019	NUM
arees-709	143	176	by	by	ADP
arees-709	143	177	the	the	DET
arees-709	143	178	authors	author	NOUN
arees-709	143	179	;	;	PUNCT
arees-709	143	180	licensee	licensee	PROPN
arees-709	143	181	asian	asian	ADJ
arees-709	143	182	online	online	PROPN
arees-709	143	183	journal	journal	PROPN
arees-709	143	184	publishing	publishing	NOUN
arees-709	143	185	group	group	NOUN
arees-709	143	186	step	step	NOUN
arees-709	143	187	2	2	NUM
arees-709	143	188	:	:	PUNCT
arees-709	143	189	testing	testing	NOUN
arees-709	143	190	when	when	SCONJ
arees-709	143	191	the	the	DET
arees-709	143	192	result	result	NOUN
arees-709	143	193	of	of	ADP
arees-709	143	194	performing	perform	VERB
arees-709	143	195	network	network	NOUN
arees-709	143	196	training	training	NOUN
arees-709	143	197	that	that	PRON
arees-709	143	198	satisfies	satisfy	VERB
arees-709	143	199	the	the	DET
arees-709	143	200	requirements	requirement	NOUN
arees-709	143	201	of	of	ADP
arees-709	143	202	the	the	DET
arees-709	143	203	number	number	NOUN
arees-709	143	204	of	of	ADP
arees-709	143	205	iterations	iteration	NOUN
arees-709	143	206	produces	produce	VERB
arees-709	143	207	,	,	PUNCT
arees-709	143	208	the	the	DET
arees-709	143	209	computer	computer	NOUN
arees-709	143	210	software	software	NOUN
arees-709	143	211	will	will	AUX
arees-709	143	212	record	record	VERB
arees-709	143	213	the	the	DET
arees-709	143	214	entire	entire	ADJ
arees-709	143	215	process	process	NOUN
arees-709	143	216	with	with	ADP
arees-709	143	217	the	the	DET
arees-709	143	218	weights	weight	NOUN
arees-709	143	219	,	,	PUNCT
arees-709	143	220	errors	error	NOUN
arees-709	143	221	and	and	CCONJ
arees-709	143	222	adjustment	adjustment	NOUN
arees-709	143	223	coefficients	coefficient	NOUN
arees-709	143	224	of	of	ADP
arees-709	143	225	each	each	DET
arees-709	143	226	iteration	iteration	NOUN
arees-709	143	227	.	.	PUNCT
arees-709	144	1	this	this	DET
arees-709	144	2	process	process	NOUN
arees-709	144	3	then	then	ADV
arees-709	144	4	apply	apply	VERB
arees-709	144	5	for	for	ADP
arees-709	144	6	target	target	NOUN
arees-709	144	7	data	datum	NOUN
arees-709	144	8	to	to	PART
arees-709	144	9	calculate	calculate	VERB
arees-709	144	10	water	water	NOUN
arees-709	144	11	temperature	temperature	NOUN
arees-709	144	12	prediction	prediction	NOUN
arees-709	144	13	and	and	CCONJ
arees-709	144	14	to	to	PART
arees-709	144	15	produce	produce	VERB
arees-709	144	16	model	model	NOUN
arees-709	144	17	results	result	NOUN
arees-709	144	18	step	step	VERB
arees-709	144	19	3	3	NUM
arees-709	144	20	:	:	PUNCT
arees-709	144	21	output	output	NOUN
arees-709	144	22	evaluation	evaluation	NOUN
arees-709	144	23	evaluation	evaluation	NOUN
arees-709	144	24	of	of	ADP
arees-709	144	25	the	the	DET
arees-709	144	26	accracy	accracy	NOUN
arees-709	144	27	results	result	NOUN
arees-709	144	28	is	be	AUX
arees-709	144	29	done	do	VERB
arees-709	144	30	by	by	ADP
arees-709	144	31	comparing	compare	VERB
arees-709	144	32	the	the	DET
arees-709	144	33	water	water	NOUN
arees-709	144	34	temperature	temperature	NOUN
arees-709	144	35	data	datum	NOUN
arees-709	144	36	measured	measure	VERB
arees-709	144	37	and	and	CCONJ
arees-709	144	38	the	the	DET
arees-709	144	39	water	water	NOUN
arees-709	144	40	temperature	temperature	NOUN
arees-709	144	41	generated	generate	VERB
arees-709	144	42	from	from	ADP
arees-709	144	43	the	the	DET
arees-709	144	44	model	model	NOUN
arees-709	144	45	's	's	PART
arees-709	144	46	testing	testing	NOUN
arees-709	144	47	data	datum	NOUN
arees-709	144	48	to	to	PART
arees-709	144	49	identify	identify	VERB
arees-709	144	50	the	the	DET
arees-709	144	51	accuracy	accuracy	NOUN
arees-709	144	52	of	of	ADP
arees-709	144	53	the	the	DET
arees-709	144	54	model	model	NOUN
arees-709	144	55	.	.	PUNCT
arees-709	145	1	where	where	SCONJ
arees-709	145	2	:	:	PUNCT
arees-709	146	1	ta_max	ta_max	PROPN
arees-709	146	2	:	:	PUNCT
arees-709	146	3	daily	daily	ADJ
arees-709	146	4	maximum	maximum	ADJ
arees-709	146	5	air	air	NOUN
arees-709	146	6	temperature	temperature	NOUN
arees-709	146	7	ta_tb	ta_tb	NOUN
arees-709	146	8	:	:	PUNCT
arees-709	146	9	daily	daily	ADJ
arees-709	146	10	average	average	ADJ
arees-709	146	11	air	air	NOUN
arees-709	146	12	temperature	temperature	NOUN
arees-709	146	13	ta_max	ta_max	PROPN
arees-709	146	14	(	(	PUNCT
arees-709	146	15	0,1,2	0,1,2	X
arees-709	146	16	):	):	PUNCT
arees-709	146	17	average	average	NOUN
arees-709	146	18	of	of	ADP
arees-709	146	19	daily	daily	ADJ
arees-709	146	20	maximum	maximum	ADJ
arees-709	146	21	air	air	NOUN
arees-709	146	22	temperature	temperature	NOUN
arees-709	146	23	of	of	ADP
arees-709	146	24	3	3	NUM
arees-709	146	25	days	day	NOUN
arees-709	146	26	(	(	PUNCT
arees-709	146	27	present	present	ADJ
arees-709	146	28	and	and	CCONJ
arees-709	146	29	2	2	NUM
arees-709	146	30	previous	previous	ADJ
arees-709	146	31	days	day	NOUN
arees-709	146	32	)	)	PUNCT
arees-709	146	33	;	;	PUNCT
arees-709	146	34	(	(	PUNCT
arees-709	146	35	0	0	NUM
arees-709	146	36	:	:	PUNCT
arees-709	146	37	present	present	ADJ
arees-709	146	38	day	day	NOUN
arees-709	146	39	;	;	PUNCT
arees-709	146	40	1	1	NUM
arees-709	146	41	:	:	SYM
arees-709	146	42	1	1	NUM
arees-709	146	43	day	day	NOUN
arees-709	146	44	before	before	ADV
arees-709	146	45	;	;	PUNCT
arees-709	146	46	2	2	NUM
arees-709	146	47	:	:	SYM
arees-709	146	48	2	2	NUM
arees-709	146	49	day	day	NOUN
arees-709	146	50	before	before	ADV
arees-709	146	51	)	)	PUNCT
arees-709	146	52	ta_tb	ta_tb	NOUN
arees-709	146	53	(	(	PUNCT
arees-709	146	54	0,1,2	0,1,2	NUM
arees-709	146	55	):	):	PUNCT
arees-709	146	56	average	average	NOUN
arees-709	146	57	of	of	ADP
arees-709	146	58	daily	daily	ADJ
arees-709	146	59	average	average	ADJ
arees-709	146	60	air	air	NOUN
arees-709	146	61	temperature	temperature	NOUN
arees-709	146	62	of	of	ADP
arees-709	146	63	3	3	NUM
arees-709	146	64	days	day	NOUN
arees-709	146	65	’	'	PUNCT
arees-709	146	66	average	average	ADJ
arees-709	146	67	(	(	PUNCT
arees-709	146	68	present	present	ADJ
arees-709	146	69	and	and	CCONJ
arees-709	146	70	2	2	NUM
arees-709	146	71	previous	previous	ADJ
arees-709	146	72	days	day	NOUN
arees-709	146	73	)	)	PUNCT
arees-709	146	74	;	;	PUNCT
arees-709	146	75	(	(	PUNCT
arees-709	146	76	0	0	NUM
arees-709	146	77	:	:	PUNCT
arees-709	146	78	present	present	ADJ
arees-709	146	79	day	day	NOUN
arees-709	146	80	;	;	PUNCT
arees-709	146	81	1	1	NUM
arees-709	146	82	:	:	SYM
arees-709	146	83	1	1	NUM
arees-709	146	84	day	day	NOUN
arees-709	146	85	before	before	ADV
arees-709	146	86	;	;	PUNCT
arees-709	146	87	2	2	NUM
arees-709	146	88	:	:	SYM
arees-709	146	89	2	2	NUM
arees-709	146	90	days	day	NOUN
arees-709	146	91	before	before	ADV
arees-709	146	92	)	)	PUNCT
arees-709	146	93	ta_tb	ta_tb	NOUN
arees-709	146	94	-1	-1	NOUN
arees-709	146	95	:	:	PUNCT
arees-709	146	96	daily	daily	ADJ
arees-709	146	97	average	average	ADJ
arees-709	146	98	air	air	NOUN
arees-709	146	99	temperature	temperature	NOUN
arees-709	146	100	of	of	ADP
arees-709	146	101	1	1	NUM
arees-709	146	102	day	day	NOUN
arees-709	146	103	before	before	ADP
arees-709	146	104	ta_tb	ta_tb	PROPN
arees-709	146	105	-2	-2	INTJ
arees-709	146	106	:	:	PUNCT
arees-709	146	107	daily	daily	ADJ
arees-709	146	108	average	average	ADJ
arees-709	146	109	air	air	NOUN
arees-709	146	110	temperature	temperature	NOUN
arees-709	146	111	of	of	ADP
arees-709	146	112	2	2	NUM
arees-709	146	113	previous	previous	ADJ
arees-709	146	114	days	day	NOUN
arees-709	146	115	ta_max	ta_max	PROPN
arees-709	146	116	-1	-1	PRON
arees-709	146	117	:	:	PUNCT
arees-709	146	118	daily	daily	ADJ
arees-709	146	119	maximum	maximum	ADJ
arees-709	146	120	air	air	NOUN
arees-709	146	121	temperature	temperature	NOUN
arees-709	146	122	of	of	ADP
arees-709	146	123	1	1	NUM
arees-709	146	124	day	day	NOUN
arees-709	146	125	before	before	ADP
arees-709	146	126	ta_max	ta_max	PROPN
arees-709	146	127	-2	-2	NUM
arees-709	146	128	:	:	PUNCT
arees-709	146	129	daily	daily	ADJ
arees-709	146	130	maximum	maximum	ADJ
arees-709	146	131	air	air	NOUN
arees-709	146	132	temperature	temperature	NOUN
arees-709	146	133	of	of	ADP
arees-709	146	134	2	2	NUM
arees-709	146	135	previous	previous	ADJ
arees-709	146	136	days	day	NOUN
arees-709	146	137	the	the	DET
arees-709	146	138	aim	aim	NOUN
arees-709	146	139	of	of	ADP
arees-709	146	140	the	the	DET
arees-709	146	141	study	study	NOUN
arees-709	146	142	is	be	AUX
arees-709	146	143	to	to	PART
arees-709	146	144	find	find	VERB
arees-709	146	145	the	the	DET
arees-709	146	146	best	good	ADJ
arees-709	146	147	model	model	NOUN
arees-709	146	148	for	for	ADP
arees-709	146	149	identifying	identify	VERB
arees-709	146	150	the	the	DET
arees-709	146	151	maximum	maximum	ADJ
arees-709	146	152	water	water	NOUN
arees-709	146	153	temperature	temperature	NOUN
arees-709	146	154	through	through	ADP
arees-709	146	155	air	air	NOUN
arees-709	146	156	temperature	temperature	NOUN
arees-709	146	157	.	.	PUNCT
arees-709	147	1	therefore	therefore	ADV
arees-709	147	2	,	,	PUNCT
arees-709	147	3	the	the	DET
arees-709	147	4	daily	daily	ADJ
arees-709	147	5	maximium	maximium	NOUN
arees-709	147	6	and	and	CCONJ
arees-709	147	7	average	average	ADJ
arees-709	147	8	air	air	NOUN
arees-709	147	9	temperature	temperature	NOUN
arees-709	147	10	are	be	AUX
arees-709	147	11	included	include	VERB
arees-709	147	12	in	in	ADP
arees-709	147	13	all	all	DET
arees-709	147	14	models	model	NOUN
arees-709	147	15	.	.	PUNCT
arees-709	148	1	mlp4	mlp4	NOUN
arees-709	148	2	,	,	PUNCT
arees-709	148	3	mlp5	mlp5	PROPN
arees-709	148	4	,	,	PUNCT
arees-709	148	5	mlp6	mlp6	PROPN
arees-709	148	6	models	model	NOUN
arees-709	148	7	additionally	additionally	ADV
arees-709	148	8	consider	consider	VERB
arees-709	148	9	the	the	DET
arees-709	148	10	correlation	correlation	NOUN
arees-709	148	11	between	between	ADP
arees-709	148	12	the	the	DET
arees-709	148	13	water	water	NOUN
arees-709	148	14	temperature	temperature	NOUN
arees-709	148	15	and	and	CCONJ
arees-709	148	16	air	air	NOUN
arees-709	148	17	temperature	temperature	NOUN
arees-709	148	18	with	with	ADP
arees-709	148	19	t-1	t-1	PROPN
arees-709	148	20	values	value	NOUN
arees-709	148	21	:	:	PUNCT
arees-709	148	22	1	1	NUM
arees-709	148	23	day	day	NOUN
arees-709	148	24	lag	lag	NOUN
arees-709	148	25	;	;	PUNCT
arees-709	148	26	t-2	t-2	NUM
arees-709	148	27	:	:	PUNCT
arees-709	148	28	2	2	NUM
arees-709	148	29	-	-	PUNCT
arees-709	148	30	day	day	NOUN
arees-709	148	31	lag	lag	NOUN
arees-709	148	32	;	;	PUNCT
arees-709	148	33	mlp7	mlp7	PROPN
arees-709	148	34	and	and	CCONJ
arees-709	148	35	mlp8	mlp8	PROPN
arees-709	148	36	models	model	NOUN
arees-709	148	37	added	add	VERB
arees-709	148	38	elements	element	NOUN
arees-709	148	39	of	of	ADP
arees-709	148	40	the	the	DET
arees-709	148	41	effect	effect	NOUN
arees-709	148	42	of	of	ADP
arees-709	148	43	air	air	NOUN
arees-709	148	44	temperature	temperature	NOUN
arees-709	148	45	variation	variation	NOUN
arees-709	148	46	in	in	ADP
arees-709	148	47	3	3	NUM
arees-709	148	48	consecutive	consecutive	ADJ
arees-709	148	49	days	day	NOUN
arees-709	148	50	(	(	PUNCT
arees-709	148	51	current	current	ADJ
arees-709	148	52	day	day	NOUN
arees-709	148	53	and	and	CCONJ
arees-709	148	54	2	2	NUM
arees-709	148	55	days	day	NOUN
arees-709	148	56	before	before	ADV
arees-709	148	57	)	)	PUNCT
arees-709	148	58	.	.	PUNCT
arees-709	149	1	the	the	DET
arees-709	149	2	results	result	NOUN
arees-709	149	3	of	of	ADP
arees-709	149	4	evaluation	evaluation	NOUN
arees-709	149	5	in	in	ADP
arees-709	149	6	each	each	DET
arees-709	149	7	neuron	neuron	NOUN
arees-709	149	8	network	network	NOUN
arees-709	149	9	structure	structure	NOUN
arees-709	149	10	shown	show	VERB
arees-709	149	11	in	in	ADP
arees-709	149	12	the	the	DET
arees-709	149	13	parameters	parameter	NOUN
arees-709	149	14	in	in	ADP
arees-709	149	15	table	table	NOUN
arees-709	149	16	2	2	NUM
arees-709	149	17	,	,	PUNCT
arees-709	149	18	figure	figure	VERB
arees-709	149	19	6	6	NUM
arees-709	149	20	show	show	VERB
arees-709	149	21	that	that	SCONJ
arees-709	149	22	mlp4	mlp4	NOUN
arees-709	149	23	network	network	NOUN
arees-709	149	24	model	model	NOUN
arees-709	149	25	with	with	ADP
arees-709	149	26	mlp4	mlp4	NOUN
arees-709	149	27	neurals	neural	NOUN
arees-709	149	28	:	:	PUNCT
arees-709	149	29	ta_max	ta_max	PROPN
arees-709	149	30	,	,	PUNCT
arees-709	149	31	ta_tb	ta_tb	NOUN
arees-709	149	32	,	,	PUNCT
arees-709	149	33	ta_tb	ta_tb	NOUN
arees-709	149	34	-1	-1	NOUN
arees-709	149	35	,	,	PUNCT
arees-709	149	36	ta_tb	ta_tb	NOUN
arees-709	149	37	-2	-2	INTJ
arees-709	149	38	give	give	VERB
arees-709	149	39	the	the	DET
arees-709	149	40	outperform	outperform	NOUN
arees-709	149	41	results	result	NOUN
arees-709	149	42	with	with	ADP
arees-709	149	43	indicators	indicator	NOUN
arees-709	149	44	rmse	rmse	VERB
arees-709	149	45	=	=	NOUN
arees-709	149	46	1.24	1.24	NUM
arees-709	149	47	,	,	PUNCT
arees-709	149	48	rmse%	rmse%	PUNCT
arees-709	149	49	=	=	PUNCT
arees-709	149	50	4.5	4.5	NUM
arees-709	149	51	%	%	NOUN
arees-709	149	52	;	;	PUNCT
arees-709	149	53	correlation	correlation	NOUN
arees-709	149	54	coefficient	coefficient	NOUN
arees-709	149	55	r=0.988	r=0.988	PUNCT
arees-709	149	56	and	and	CCONJ
arees-709	149	57	e	e	X
arees-709	149	58	=	=	PROPN
arees-709	149	59	0.94	0.94	NUM
arees-709	149	60	.	.	PUNCT
arees-709	150	1	the	the	DET
arees-709	150	2	comparison	comparison	NOUN
arees-709	150	3	of	of	ADP
arees-709	150	4	rmse	rmse	NOUN
arees-709	150	5	,	,	PUNCT
arees-709	150	6	r	r	NOUN
arees-709	150	7	,	,	PUNCT
arees-709	150	8	e	e	NOUN
arees-709	150	9	indicators	indicator	NOUN
arees-709	150	10	show	show	VERB
arees-709	150	11	that	that	SCONJ
arees-709	150	12	the	the	DET
arees-709	150	13	stochastic	stochastic	ADJ
arees-709	150	14	model	model	NOUN
arees-709	150	15	and	and	CCONJ
arees-709	150	16	artificial	artificial	ADJ
arees-709	150	17	neural	neural	ADJ
arees-709	150	18	network	network	NOUN
arees-709	150	19	model	model	NOUN
arees-709	150	20	with	with	ADP
arees-709	150	21	the	the	DET
arees-709	150	22	same	same	ADJ
arees-709	150	23	variables	variable	NOUN
arees-709	150	24	ta_max	ta_max	PROPN
arees-709	150	25	,	,	PUNCT
arees-709	150	26	ta_tb	ta_tb	NOUN
arees-709	150	27	,	,	PUNCT
arees-709	150	28	ta_tb	ta_tb	NOUN
arees-709	150	29	-1	-1	INTJ
arees-709	150	30	ta_tb	ta_tb	NOUN
arees-709	150	31	-2	-2	INTJ
arees-709	150	32	give	give	VERB
arees-709	150	33	better	well	ADJ
arees-709	150	34	results	result	NOUN
arees-709	150	35	.	.	PUNCT
arees-709	151	1	from	from	ADP
arees-709	151	2	the	the	DET
arees-709	151	3	output	output	NOUN
arees-709	151	4	of	of	ADP
arees-709	151	5	the	the	DET
arees-709	151	6	models	model	NOUN
arees-709	151	7	,	,	PUNCT
arees-709	151	8	it	it	PRON
arees-709	151	9	can	can	AUX
arees-709	151	10	be	be	AUX
arees-709	151	11	seen	see	VERB
arees-709	151	12	that	that	SCONJ
arees-709	151	13	the	the	DET
arees-709	151	14	daily	daily	ADJ
arees-709	151	15	maximum	maximum	ADJ
arees-709	151	16	water	water	NOUN
arees-709	151	17	temperature	temperature	NOUN
arees-709	151	18	depends	depend	VERB
arees-709	151	19	on	on	ADP
arees-709	151	20	:	:	PUNCT
arees-709	151	21	the	the	DET
arees-709	151	22	daily	daily	ADJ
arees-709	151	23	average	average	NOUN
arees-709	151	24	,	,	PUNCT
arees-709	151	25	maximum	maximum	ADJ
arees-709	151	26	,	,	PUNCT
arees-709	151	27	and	and	CCONJ
arees-709	151	28	the	the	DET
arees-709	151	29	average	average	ADJ
arees-709	151	30	temperature	temperature	NOUN
arees-709	151	31	of	of	ADP
arees-709	151	32	the	the	DET
arees-709	151	33	2	2	NUM
arees-709	151	34	previous	previous	ADJ
arees-709	151	35	days	day	NOUN
arees-709	151	36	.	.	PUNCT
arees-709	152	1	this	this	PRON
arees-709	152	2	also	also	ADV
arees-709	152	3	shows	show	VERB
arees-709	152	4	that	that	SCONJ
arees-709	152	5	the	the	DET
arees-709	152	6	time	time	NOUN
arees-709	152	7	lag	lag	NOUN
arees-709	152	8	of	of	ADP
arees-709	152	9	water	water	NOUN
arees-709	152	10	temperature	temperature	NOUN
arees-709	152	11	compared	compare	VERB
arees-709	152	12	to	to	ADP
arees-709	152	13	air	air	NOUN
arees-709	152	14	temperature	temperature	NOUN
arees-709	152	15	is	be	AUX
arees-709	152	16	2	2	NUM
arees-709	152	17	days	day	NOUN
arees-709	152	18	.	.	PUNCT
arees-709	153	1	table-2	table-2	NUM
arees-709	153	2	.	.	PUNCT
arees-709	153	3	indicators	indicator	NOUN
arees-709	153	4	of	of	ADP
arees-709	153	5	accuracy	accuracy	NOUN
arees-709	153	6	models	model	NOUN
arees-709	153	7	models	model	NOUN
arees-709	153	8	rmse	rmse	VERB
arees-709	153	9	rmse%	rmse%	PUNCT
arees-709	153	10	r	r	NOUN
arees-709	153	11	e	e	NOUN
arees-709	153	12	1	1	NUM
arees-709	153	13	simple	simple	ADJ
arees-709	153	14	linear	linear	ADJ
arees-709	153	15	regression	regression	NOUN
arees-709	153	16	1,68	1,68	NUM
arees-709	153	17	6,1	6,1	NUM
arees-709	153	18	0,89	0,89	NUM
arees-709	153	19	0,89	0,89	NUM
arees-709	153	20	2	2	NUM
arees-709	153	21	nonlinear	nonlinear	ADJ
arees-709	153	22	regression	regression	NOUN
arees-709	153	23	1,6	1,6	NUM
arees-709	153	24	5,8	5,8	NUM
arees-709	153	25	0,90	0,90	NOUN
arees-709	153	26	0,90	0,90	X
arees-709	153	27	3	3	NUM
arees-709	153	28	stochastic	stochastic	NOUN
arees-709	153	29	1,4	1,4	NUM
arees-709	153	30	5,1	5,1	NUM
arees-709	153	31	0,94	0,94	NUM
arees-709	153	32	0,92	0,92	NUM
arees-709	153	33	4	4	NUM
arees-709	153	34	ann	ann	PROPN
arees-709	153	35	mlp1	mlp1	PROPN
arees-709	153	36	2	2	NUM
arees-709	153	37	7,3	7,3	NUM
arees-709	153	38	0,9	0,9	NUM
arees-709	153	39	0,84	0,84	ADJ
arees-709	153	40	mlp2	mlp2	NOUN
arees-709	153	41	1,759	1,759	NUM
arees-709	153	42	6,4	6,4	NUM
arees-709	153	43	0,97	0,97	NUM
arees-709	153	44	0,88	0,88	NOUN
arees-709	153	45	mlp3	mlp3	VERB
arees-709	153	46	1,62	1,62	NUM
arees-709	154	1	5,9	5,9	NUM
arees-709	154	2	0,97	0,97	NUM
arees-709	154	3	0,89	0,89	NUM
arees-709	154	4	mlp4	mlp4	NOUN
arees-709	154	5	1,24	1,24	NUM
arees-709	154	6	4,5	4,5	NUM
arees-709	154	7	0,988	0,988	NUM
arees-709	154	8	0,94	0,94	NOUN
arees-709	154	9	mlp5	mlp5	NOUN
arees-709	154	10	1,579	1,579	NUM
arees-709	154	11	5,7	5,7	NUM
arees-709	154	12	0,98	0,98	NOUN
arees-709	154	13	0,90	0,90	PUNCT
arees-709	155	1	mlp6	mlp6	NOUN
arees-709	155	2	1,558	1,558	NUM
arees-709	155	3	5,7	5,7	NUM
arees-709	155	4	0,98	0,98	NOUN
arees-709	155	5	0,90	0,90	PUNCT
arees-709	156	1	mlp7	mlp7	PROPN
arees-709	156	2	1,58	1,58	NUM
arees-709	156	3	5,7	5,7	NUM
arees-709	156	4	0,981	0,981	NUM
arees-709	156	5	0,90	0,90	PUNCT
arees-709	156	6	mlp8	mlp8	NOUN
arees-709	156	7	1,556	1,556	NUM
arees-709	156	8	5,7	5,7	NUM
arees-709	156	9	0,987	0,987	NUM
arees-709	156	10	0,90	0,90	NOUN
arees-709	157	1	mlp9	mlp9	PROPN
arees-709	157	2	1,585	1,585	NUM
arees-709	157	3	5,8	5,8	NUM
arees-709	157	4	0,989	0,989	NUM
arees-709	157	5	0,90	0,90	NOUN
arees-709	158	1	mlp10	mlp10	PROPN
arees-709	158	2	1,59	1,59	PROPN
arees-709	158	3	5,8	5,8	NUM
arees-709	158	4	0,98	0,98	NOUN
arees-709	158	5	0,90	0,90	PUNCT
arees-709	158	6	source	source	NOUN
arees-709	158	7	:	:	PUNCT
arees-709	158	8	authors	author	NOUN
arees-709	158	9	’	’	PART
arees-709	158	10	calculation	calculation	NOUN
arees-709	158	11	figure-3	figure-3	NUM
arees-709	158	12	.	.	PUNCT
arees-709	159	1	simulated	simulate	VERB
arees-709	159	2	and	and	CCONJ
arees-709	159	3	observed	observe	VERB
arees-709	159	4	water	water	NOUN
arees-709	159	5	temperature	temperature	NOUN
arees-709	159	6	in	in	ADP
arees-709	159	7	simple	simple	ADJ
arees-709	159	8	linear	linear	ADJ
arees-709	159	9	regression	regression	NOUN
arees-709	159	10	model	model	NOUN
arees-709	159	11	source	source	NOUN
arees-709	159	12	:	:	PUNCT
arees-709	159	13	data	datum	NOUN
arees-709	159	14	collected	collect	VERB
arees-709	159	15	from	from	ADP
arees-709	159	16	bai	bai	PROPN
arees-709	159	17	chay	chay	PROPN
arees-709	159	18	station	station	NOUN
arees-709	159	19	(	(	PUNCT
arees-709	159	20	e.g.	e.g.	ADV
arees-709	159	21	of	of	ADP
arees-709	159	22	year	year	NOUN
arees-709	159	23	2008	2008	NUM
arees-709	159	24	)	)	PUNCT
arees-709	159	25	asian	asian	ADJ
arees-709	159	26	review	review	NOUN
arees-709	159	27	of	of	ADP
arees-709	159	28	environmental	environmental	ADJ
arees-709	159	29	and	and	CCONJ
arees-709	159	30	earth	earth	NOUN
arees-709	159	31	sciences	science	NOUN
arees-709	159	32	,	,	PUNCT
arees-709	159	33	2019	2019	NUM
arees-709	159	34	,	,	PUNCT
arees-709	159	35	6(1	6(1	NUM
arees-709	159	36	):	):	PUNCT
arees-709	159	37	1	1	NUM
arees-709	159	38	-	-	SYM
arees-709	159	39	8	8	NUM
arees-709	159	40	7	7	NUM
arees-709	159	41	©	©	PROPN
arees-709	159	42	2019	2019	NUM
arees-709	159	43	by	by	ADP
arees-709	159	44	the	the	DET
arees-709	159	45	authors	author	NOUN
arees-709	159	46	;	;	PUNCT
arees-709	159	47	licensee	licensee	PROPN
arees-709	159	48	asian	asian	ADJ
arees-709	159	49	online	online	PROPN
arees-709	159	50	journal	journal	PROPN
arees-709	159	51	publishing	publishing	NOUN
arees-709	159	52	group	group	PROPN
arees-709	159	53	figure-4	figure-4	PROPN
arees-709	159	54	.	.	PUNCT
arees-709	159	55	simulated	simulate	VERB
arees-709	159	56	and	and	CCONJ
arees-709	159	57	observed	observe	VERB
arees-709	159	58	water	water	NOUN
arees-709	159	59	temperature	temperature	NOUN
arees-709	159	60	in	in	ADP
arees-709	159	61	nonlinear	nonlinear	ADJ
arees-709	159	62	regression	regression	NOUN
arees-709	159	63	model	model	NOUN
arees-709	159	64	source	source	NOUN
arees-709	159	65	:	:	PUNCT
arees-709	159	66	data	datum	NOUN
arees-709	159	67	collected	collect	VERB
arees-709	159	68	from	from	ADP
arees-709	159	69	bai	bai	PROPN
arees-709	159	70	chay	chay	PROPN
arees-709	159	71	station	station	NOUN
arees-709	159	72	(	(	PUNCT
arees-709	159	73	e.g.	e.g.	ADV
arees-709	159	74	of	of	ADP
arees-709	159	75	year	year	NOUN
arees-709	159	76	2008	2008	NUM
arees-709	159	77	)	)	PUNCT
arees-709	160	1	figure-5	figure-5	PROPN
arees-709	160	2	.	.	PUNCT
arees-709	161	1	simulated	simulate	VERB
arees-709	161	2	and	and	CCONJ
arees-709	161	3	observed	observe	VERB
arees-709	161	4	water	water	NOUN
arees-709	161	5	temperature	temperature	NOUN
arees-709	161	6	in	in	ADP
arees-709	161	7	stochastic	stochastic	ADJ
arees-709	161	8	regression	regression	NOUN
arees-709	161	9	model	model	NOUN
arees-709	161	10	source	source	NOUN
arees-709	161	11	:	:	PUNCT
arees-709	161	12	data	datum	NOUN
arees-709	161	13	collected	collect	VERB
arees-709	161	14	from	from	ADP
arees-709	161	15	bai	bai	PROPN
arees-709	161	16	chay	chay	PROPN
arees-709	161	17	station	station	NOUN
arees-709	161	18	(	(	PUNCT
arees-709	161	19	e.g.	e.g.	ADV
arees-709	161	20	of	of	ADP
arees-709	161	21	year	year	NOUN
arees-709	161	22	2008	2008	NUM
arees-709	161	23	)	)	PUNCT
arees-709	162	1	figure-6	figure-6	PROPN
arees-709	162	2	.	.	PROPN
arees-709	162	3	simulated	simulate	VERB
arees-709	162	4	and	and	CCONJ
arees-709	162	5	observed	observe	VERB
arees-709	162	6	water	water	NOUN
arees-709	162	7	temperature	temperature	NOUN
arees-709	162	8	in	in	ADP
arees-709	162	9	ann	ann	PROPN
arees-709	162	10	-	-	PUNCT
arees-709	162	11	mlp4	mlp4	PROPN
arees-709	162	12	model	model	NOUN
arees-709	162	13	source	source	NOUN
arees-709	162	14	:	:	PUNCT
arees-709	162	15	data	datum	NOUN
arees-709	162	16	collected	collect	VERB
arees-709	162	17	from	from	ADP
arees-709	162	18	bai	bai	PROPN
arees-709	162	19	chay	chay	PROPN
arees-709	162	20	station	station	NOUN
arees-709	162	21	(	(	PUNCT
arees-709	162	22	e.g.	e.g.	ADV
arees-709	162	23	of	of	ADP
arees-709	162	24	year	year	NOUN
arees-709	162	25	2008	2008	NUM
arees-709	162	26	)	)	PUNCT
arees-709	163	1	4	4	NUM
arees-709	163	2	.	.	PUNCT
arees-709	163	3	conclusions	conclusion	NOUN
arees-709	163	4	the	the	DET
arees-709	163	5	study	study	NOUN
arees-709	163	6	used	use	VERB
arees-709	163	7	the	the	DET
arees-709	163	8	daily	daily	ADJ
arees-709	163	9	average	average	NOUN
arees-709	163	10	,	,	PUNCT
arees-709	163	11	maximum	maximum	ADJ
arees-709	163	12	air	air	NOUN
arees-709	163	13	and	and	CCONJ
arees-709	163	14	water	water	NOUN
arees-709	163	15	temperature	temperature	NOUN
arees-709	163	16	data	datum	NOUN
arees-709	163	17	of	of	ADP
arees-709	163	18	bai	bai	PROPN
arees-709	163	19	chay	chay	PROPN
arees-709	163	20	station	station	NOUN
arees-709	163	21	to	to	PART
arees-709	163	22	assess	assess	VERB
arees-709	163	23	output	output	NOUN
arees-709	163	24	accuracy	accuracy	NOUN
arees-709	163	25	by	by	ADP
arees-709	163	26	implementing	implement	VERB
arees-709	163	27	03	03	NUM
arees-709	163	28	regression	regression	NOUN
arees-709	163	29	models	model	NOUN
arees-709	163	30	(	(	PUNCT
arees-709	163	31	linear	linear	PROPN
arees-709	163	32	regression	regression	NOUN
arees-709	163	33	,	,	PUNCT
arees-709	163	34	nonlinear	nonlinear	ADJ
arees-709	163	35	,	,	PUNCT
arees-709	163	36	stochastic	stochastic	ADJ
arees-709	163	37	regression	regression	NOUN
arees-709	163	38	)	)	PUNCT
arees-709	163	39	and	and	CCONJ
arees-709	163	40	artificial	artificial	ADJ
arees-709	163	41	neural	neural	ADJ
arees-709	163	42	network	network	NOUN
arees-709	163	43	models	model	NOUN
arees-709	163	44	.	.	PUNCT
arees-709	164	1	in	in	ADP
arees-709	164	2	particular	particular	ADJ
arees-709	164	3	,	,	PUNCT
arees-709	164	4	artificial	artificial	ADJ
arees-709	164	5	neural	neural	ADJ
arees-709	164	6	network	network	NOUN
arees-709	164	7	model	model	NOUN
arees-709	164	8	was	be	AUX
arees-709	164	9	built	build	VERB
arees-709	164	10	with	with	ADP
arees-709	164	11	10	10	NUM
arees-709	164	12	network	network	NOUN
arees-709	164	13	structures	structure	NOUN
arees-709	164	14	(	(	PUNCT
arees-709	164	15	mlp1	mlp1	PROPN
arees-709	164	16	-	-	PUNCT
arees-709	164	17	mlp10	mlp10	PROPN
arees-709	164	18	)	)	PUNCT
arees-709	164	19	to	to	PART
arees-709	164	20	determine	determine	VERB
arees-709	164	21	some	some	DET
arees-709	164	22	factors	factor	NOUN
arees-709	164	23	of	of	ADP
arees-709	164	24	air	air	NOUN
arees-709	164	25	temperature	temperature	NOUN
arees-709	164	26	affecting	affect	VERB
arees-709	164	27	variation	variation	NOUN
arees-709	164	28	and	and	CCONJ
arees-709	164	29	time	time	NOUN
arees-709	164	30	lag	lag	NOUN
arees-709	164	31	of	of	ADP
arees-709	164	32	water	water	NOUN
arees-709	164	33	temperature	temperature	NOUN
arees-709	164	34	.	.	PUNCT
arees-709	165	1	the	the	DET
arees-709	165	2	results	result	NOUN
arees-709	165	3	of	of	ADP
arees-709	165	4	14	14	NUM
arees-709	165	5	models	model	NOUN
arees-709	165	6	identified	identify	VERB
arees-709	165	7	that	that	SCONJ
arees-709	165	8	ann	ann	PROPN
arees-709	165	9	-	-	PUNCT
arees-709	165	10	mlp4	mlp4	NOUN
arees-709	165	11	model	model	NOUN
arees-709	165	12	with	with	ADP
arees-709	165	13	4	4	NUM
arees-709	165	14	parameters	parameter	NOUN
arees-709	165	15	ta_max	ta_max	PROPN
arees-709	165	16	,	,	PUNCT
arees-709	165	17	ta_tb	ta_tb	NOUN
arees-709	165	18	,	,	PUNCT
arees-709	165	19	ta_tb	ta_tb	NOUN
arees-709	165	20	-1	-1	NOUN
arees-709	165	21	,	,	PUNCT
arees-709	165	22	ta_tb	ta_tb	PROPN
arees-709	165	23	-2	-2	INTJ
arees-709	165	24	gave	give	VERB
arees-709	165	25	the	the	DET
arees-709	165	26	best	good	ADJ
arees-709	165	27	results	result	NOUN
arees-709	165	28	with	with	ADP
arees-709	165	29	values	value	NOUN
arees-709	165	30	of	of	ADP
arees-709	165	31	rmse	rmse	NOUN
arees-709	165	32	=	=	NOUN
arees-709	165	33	1.24	1.24	NUM
arees-709	165	34	;	;	PUNCT
arees-709	166	1	r	r	NOUN
arees-709	166	2	=	=	SYM
arees-709	166	3	0.98	0.98	NUM
arees-709	166	4	;	;	PUNCT
arees-709	166	5	e	e	X
arees-709	166	6	=	=	PROPN
arees-709	166	7	0.94	0.94	NUM
arees-709	166	8	.	.	PUNCT
arees-709	167	1	the	the	DET
arees-709	167	2	study	study	NOUN
arees-709	167	3	allows	allow	VERB
arees-709	167	4	to	to	PART
arees-709	167	5	identify	identify	VERB
arees-709	167	6	that	that	PRON
arees-709	167	7	:	:	PUNCT
arees-709	167	8	the	the	DET
arees-709	167	9	maximum	maximum	ADJ
arees-709	167	10	temperature	temperature	NOUN
arees-709	167	11	of	of	ADP
arees-709	167	12	water	water	NOUN
arees-709	167	13	(	(	PUNCT
arees-709	167	14	tw_max	tw_max	PROPN
arees-709	167	15	)	)	PUNCT
arees-709	167	16	depends	depend	VERB
arees-709	167	17	greatly	greatly	ADV
arees-709	167	18	on	on	ADP
arees-709	167	19	the	the	DET
arees-709	167	20	daily	daily	ADJ
arees-709	167	21	average	average	ADJ
arees-709	167	22	and	and	CCONJ
arees-709	167	23	maximum	maximum	ADJ
arees-709	167	24	air	air	NOUN
arees-709	167	25	temperature	temperature	NOUN
arees-709	167	26	.	.	PUNCT
arees-709	168	1	the	the	DET
arees-709	168	2	time	time	NOUN
arees-709	168	3	lag	lag	VERB
arees-709	168	4	between	between	ADP
arees-709	168	5	the	the	DET
arees-709	168	6	daily	daily	ADJ
arees-709	168	7	maximum	maximum	ADJ
arees-709	168	8	air	air	NOUN
arees-709	168	9	and	and	CCONJ
arees-709	168	10	water	water	NOUN
arees-709	168	11	temperature	temperature	NOUN
arees-709	168	12	in	in	ADP
arees-709	168	13	this	this	DET
arees-709	168	14	sutdy	sutdy	NOUN
arees-709	168	15	applying	apply	VERB
arees-709	168	16	for	for	ADP
arees-709	168	17	the	the	DET
arees-709	168	18	coastal	coastal	ADJ
arees-709	168	19	area	area	NOUN
arees-709	168	20	of	of	ADP
arees-709	168	21	the	the	DET
arees-709	168	22	northern	northern	ADJ
arees-709	168	23	delta	delta	NOUN
arees-709	168	24	,	,	PUNCT
arees-709	168	25	vietnam	vietnam	PROPN
arees-709	168	26	is	be	AUX
arees-709	168	27	2	2	NUM
arees-709	168	28	days	day	NOUN
arees-709	168	29	.	.	PUNCT
arees-709	169	1	daily	daily	ADJ
arees-709	169	2	average	average	ADJ
arees-709	169	3	temperature	temperature	NOUN
arees-709	169	4	is	be	AUX
arees-709	169	5	important	important	ADJ
arees-709	169	6	factors	factor	NOUN
arees-709	169	7	because	because	SCONJ
arees-709	169	8	it	it	PRON
arees-709	169	9	it	it	PRON
arees-709	169	10	take	take	VERB
arees-709	169	11	values	value	NOUN
arees-709	169	12	of	of	ADP
arees-709	169	13	daily	daily	ADJ
arees-709	169	14	minimum	minimum	NOUN
arees-709	169	15	and	and	CCONJ
arees-709	169	16	day	day	NOUN
arees-709	169	17	and	and	CCONJ
arees-709	169	18	night	night	NOUN
arees-709	169	19	temperature	temperature	NOUN
arees-709	169	20	fluctuations	fluctuation	NOUN
arees-709	169	21	.	.	PUNCT
arees-709	170	1	stochastic	stochastic	ADJ
arees-709	170	2	model	model	NOUN
arees-709	170	3	examines	examine	VERB
arees-709	170	4	seasonal	seasonal	ADJ
arees-709	170	5	and	and	CCONJ
arees-709	170	6	short	short	ADJ
arees-709	170	7	-	-	PUNCT
arees-709	170	8	term	term	NOUN
arees-709	170	9	fluctuations	fluctuation	NOUN
arees-709	170	10	between	between	ADP
arees-709	170	11	air	air	NOUN
arees-709	170	12	and	and	CCONJ
arees-709	170	13	water	water	NOUN
arees-709	170	14	temperature	temperature	NOUN
arees-709	170	15	.	.	PUNCT
arees-709	171	1	this	this	DET
arees-709	171	2	model	model	NOUN
arees-709	171	3	gave	give	VERB
arees-709	171	4	the	the	DET
arees-709	171	5	best	good	ADJ
arees-709	171	6	results	result	NOUN
arees-709	171	7	in	in	ADP
arees-709	171	8	the	the	DET
arees-709	171	9	regression	regression	NOUN
arees-709	171	10	methods	method	NOUN
arees-709	171	11	implemented	implement	VERB
arees-709	171	12	.	.	PUNCT
arees-709	172	1	ann	ann	PROPN
arees-709	172	2	model	model	PROPN
arees-709	172	3	allows	allow	VERB
arees-709	172	4	using	use	VERB
arees-709	172	5	complex	complex	ADJ
arees-709	172	6	input	input	NOUN
arees-709	172	7	variables	variable	NOUN
arees-709	172	8	.	.	PUNCT
arees-709	173	1	this	this	DET
arees-709	173	2	model	model	NOUN
arees-709	173	3	should	should	AUX
arees-709	173	4	be	be	AUX
arees-709	173	5	considered	consider	VERB
arees-709	173	6	for	for	ADP
arees-709	173	7	water	water	NOUN
arees-709	173	8	temperature	temperature	NOUN
arees-709	173	9	prediction	prediction	NOUN
arees-709	173	10	as	as	ADP
arees-709	173	11	a	a	DET
arees-709	173	12	base	base	NOUN
arees-709	173	13	on	on	ADP
arees-709	173	14	disaster	disaster	NOUN
arees-709	173	15	risk	risk	NOUN
arees-709	173	16	and	and	CCONJ
arees-709	173	17	climate	climate	NOUN
arees-709	173	18	change	change	NOUN
arees-709	173	19	to	to	ADP
arees-709	173	20	aquaculture	aquaculture	NOUN
arees-709	173	21	in	in	ADP
arees-709	173	22	coastal	coastal	ADJ
arees-709	173	23	northern	northern	ADJ
arees-709	173	24	areas	area	NOUN
arees-709	173	25	,	,	PUNCT
arees-709	173	26	vietnam	vietnam	PROPN
arees-709	173	27	.	.	PUNCT
arees-709	174	1	asian	asian	PROPN
arees-709	174	2	review	review	PROPN
arees-709	174	3	of	of	ADP
arees-709	174	4	environmental	environmental	ADJ
arees-709	174	5	and	and	CCONJ
arees-709	174	6	earth	earth	NOUN
arees-709	174	7	sciences	science	NOUN
arees-709	174	8	,	,	PUNCT
arees-709	174	9	2019	2019	NUM
arees-709	174	10	,	,	PUNCT
arees-709	174	11	6(1	6(1	NUM
arees-709	174	12	):	):	PUNCT
arees-709	174	13	1	1	NUM
arees-709	174	14	-	-	SYM
arees-709	174	15	8	8	NUM
arees-709	174	16	8	8	NUM
arees-709	174	17	©	©	PROPN
arees-709	174	18	2019	2019	NUM
arees-709	174	19	by	by	ADP
arees-709	174	20	the	the	DET
arees-709	174	21	authors	author	NOUN
arees-709	174	22	;	;	PUNCT
arees-709	174	23	licensee	licensee	PROPN
arees-709	174	24	asian	asian	ADJ
arees-709	174	25	online	online	PROPN
arees-709	174	26	journal	journal	PROPN
arees-709	174	27	publishing	publishing	NOUN
arees-709	174	28	group	group	NOUN
arees-709	174	29	references	reference	NOUN
arees-709	174	30	[	[	X
arees-709	174	31	1	1	NUM
arees-709	174	32	]	]	PUNCT
arees-709	174	33	m.	m.	NOUN
arees-709	174	34	n.	n.	PROPN
arees-709	174	35	kutty	kutty	PROPN
arees-709	174	36	,	,	PUNCT
arees-709	174	37	"	"	PUNCT
arees-709	174	38	site	site	NOUN
arees-709	174	39	selection	selection	NOUN
arees-709	174	40	for	for	ADP
arees-709	174	41	aquaculture	aquaculture	NOUN
arees-709	174	42	:	:	PUNCT
arees-709	174	43	physical	physical	ADJ
arees-709	174	44	features	feature	NOUN
arees-709	174	45	of	of	ADP
arees-709	174	46	water	water	NOUN
arees-709	174	47	.	.	PUNCT
arees-709	175	1	lectures	lecture	NOUN
arees-709	175	2	presented	present	VERB
arees-709	175	3	at	at	ADP
arees-709	175	4	arac	arac	NOUN
arees-709	175	5	for	for	ADP
arees-709	175	6	the	the	DET
arees-709	175	7	senior	senior	ADJ
arees-709	175	8	aquaculturists	aquaculturist	NOUN
arees-709	175	9	course	course	NOUN
arees-709	175	10	,	,	PUNCT
arees-709	175	11	electronic	electronic	ADJ
arees-709	175	12	document	document	NOUN
arees-709	175	13	in	in	ADP
arees-709	175	14	chapter	chapter	NOUN
arees-709	175	15	8	8	NUM
arees-709	175	16	.	.	PUNCT
arees-709	175	17	"	"	PUNCT
arees-709	176	1	available	available	ADJ
arees-709	176	2	:	:	PUNCT
arees-709	176	3	http://www.fao.org/docrep/field/003/ac174e/ac174e01.htm#ch1	http://www.fao.org/docrep/field/003/ac174e/ac174e01.htm#ch1	PROPN
arees-709	176	4	,	,	PUNCT
arees-709	176	5	1987	1987	NUM
arees-709	176	6	.	.	PUNCT
arees-709	177	1	[	[	X
arees-709	177	2	2	2	X
arees-709	177	3	]	]	PUNCT
arees-709	177	4	s.	s.	PROPN
arees-709	177	5	zhu	zhu	PROPN
arees-709	177	6	,	,	PUNCT
arees-709	177	7	e.	e.	PROPN
arees-709	177	8	k.	k.	PROPN
arees-709	177	9	nyarko	nyarko	PROPN
arees-709	177	10	,	,	PUNCT
arees-709	177	11	and	and	CCONJ
arees-709	177	12	m.	m.	PROPN
arees-709	177	13	hadzima	hadzima	PROPN
arees-709	177	14	-	-	PUNCT
arees-709	177	15	nyarko	nyarko	PROPN
arees-709	177	16	,	,	PUNCT
arees-709	177	17	"	"	PUNCT
arees-709	177	18	modelling	model	VERB
arees-709	177	19	daily	daily	ADJ
arees-709	177	20	water	water	NOUN
arees-709	177	21	temperature	temperature	NOUN
arees-709	177	22	from	from	ADP
arees-709	177	23	air	air	NOUN
arees-709	177	24	temperature	temperature	NOUN
arees-709	177	25	for	for	ADP
arees-709	177	26	the	the	DET
arees-709	177	27	missouri	missouri	PROPN
arees-709	177	28	river	river	PROPN
arees-709	177	29	,	,	PUNCT
arees-709	177	30	"	"	PUNCT
arees-709	177	31	peer	peer	NOUN
arees-709	177	32	journal	journal	NOUN
arees-709	177	33	,	,	PUNCT
arees-709	177	34	vol	vol	NOUN
arees-709	177	35	.	.	PROPN
arees-709	177	36	6	6	NUM
arees-709	177	37	,	,	PUNCT
arees-709	177	38	p.	p.	NOUN
arees-709	177	39	e4894	e4894	NOUN
arees-709	177	40	,	,	PUNCT
arees-709	177	41	2018	2018	NUM
arees-709	177	42	.	.	PUNCT
arees-709	178	1	[	[	X
arees-709	178	2	3	3	X
arees-709	178	3	]	]	X
arees-709	178	4	d.	d.	PROPN
arees-709	178	5	caissie	caissie	PROPN
arees-709	178	6	,	,	PUNCT
arees-709	178	7	"	"	PUNCT
arees-709	178	8	the	the	DET
arees-709	178	9	thermal	thermal	ADJ
arees-709	178	10	regime	regime	NOUN
arees-709	178	11	of	of	ADP
arees-709	178	12	rivers	river	NOUN
arees-709	178	13	:	:	PUNCT
arees-709	178	14	a	a	DET
arees-709	178	15	review	review	NOUN
arees-709	178	16	,	,	PUNCT
arees-709	178	17	"	"	PUNCT
arees-709	178	18	freshwater	freshwater	NOUN
arees-709	178	19	biology	biology	NOUN
arees-709	178	20	,	,	PUNCT
arees-709	178	21	vol	vol	NOUN
arees-709	178	22	.	.	PROPN
arees-709	178	23	51	51	NUM
arees-709	178	24	,	,	PUNCT
arees-709	178	25	pp	pp	ADJ
arees-709	178	26	.	.	PUNCT
arees-709	179	1	1389	1389	NUM
arees-709	179	2	-	-	SYM
arees-709	179	3	1406	1406	NUM
arees-709	179	4	,	,	PUNCT
arees-709	179	5	2006.available	2006.available	ADJ
arees-709	179	6	at	at	ADP
arees-709	179	7	:	:	PUNCT
arees-709	179	8	https://doi.org/10.1111/j.1365-2427.2006.01597.x	https://doi.org/10.1111/j.1365-2427.2006.01597.x	NOUN
arees-709	179	9	.	.	PUNCT
arees-709	180	1	[	[	X
arees-709	180	2	4	4	NUM
arees-709	180	3	]	]	X
arees-709	180	4	r.	r.	PROPN
arees-709	180	5	anamarija	anamarija	PROPN
arees-709	180	6	,	,	PUNCT
arees-709	180	7	"	"	PUNCT
arees-709	180	8	modelling	model	VERB
arees-709	180	9	river	river	NOUN
arees-709	180	10	temperature	temperature	NOUN
arees-709	180	11	from	from	ADP
arees-709	180	12	air	air	NOUN
arees-709	180	13	temperature	temperature	NOUN
arees-709	180	14	:	:	PUNCT
arees-709	180	15	case	case	NOUN
arees-709	180	16	of	of	ADP
arees-709	180	17	the	the	DET
arees-709	180	18	river	river	NOUN
arees-709	180	19	drava	drava	NOUN
arees-709	180	20	(	(	PUNCT
arees-709	180	21	croatia	croatia	PROPN
arees-709	180	22	)	)	PUNCT
arees-709	180	23	,	,	PUNCT
arees-709	180	24	"	"	PUNCT
arees-709	180	25	hydrological	hydrological	ADJ
arees-709	180	26	sciences	sciences	PROPN
arees-709	180	27	journal	journal	PROPN
arees-709	180	28	des	des	PROPN
arees-709	180	29	sciences	sciences	PROPN
arees-709	180	30	hydrologiques	hydrologique	NOUN
arees-709	180	31	,	,	PUNCT
arees-709	180	32	vol	vol	NOUN
arees-709	180	33	.	.	PROPN
arees-709	180	34	60	60	NUM
arees-709	180	35	,	,	PUNCT
arees-709	180	36	pp	pp	ADJ
arees-709	180	37	.	.	PUNCT
arees-709	181	1	1490	1490	NUM
arees-709	181	2	-	-	SYM
arees-709	181	3	1507	1507	NUM
arees-709	181	4	,	,	PUNCT
arees-709	181	5	2014.available	2014.available	ADJ
arees-709	181	6	at	at	ADP
arees-709	181	7	:	:	PUNCT
arees-709	181	8	http://dx.doi.org/10.1080/02626667.2014.914215	http://dx.doi.org/10.1080/02626667.2014.914215	VERB
arees-709	181	9	.	.	PUNCT
arees-709	182	1	[	[	X
arees-709	182	2	5	5	X
arees-709	182	3	]	]	PUNCT
arees-709	182	4	h.	h.	PROPN
arees-709	182	5	li	li	PROPN
arees-709	182	6	,	,	PUNCT
arees-709	182	7	x.	x.	PROPN
arees-709	182	8	deng	deng	PROPN
arees-709	182	9	,	,	PUNCT
arees-709	182	10	d.	d.	PROPN
arees-709	182	11	y.	y.	PROPN
arees-709	182	12	kim	kim	PROPN
arees-709	182	13	,	,	PUNCT
arees-709	182	14	and	and	CCONJ
arees-709	182	15	e.	e.	PROPN
arees-709	182	16	p.	p.	PROPN
arees-709	182	17	smith	smith	PROPN
arees-709	182	18	,	,	PUNCT
arees-709	182	19	"	"	PUNCT
arees-709	182	20	modeling	model	VERB
arees-709	182	21	maximum	maximum	ADJ
arees-709	182	22	daily	daily	ADJ
arees-709	182	23	temperature	temperature	NOUN
arees-709	182	24	using	use	VERB
arees-709	182	25	a	a	DET
arees-709	182	26	varying	vary	VERB
arees-709	182	27	coefficient	coefficient	NOUN
arees-709	182	28	regression	regression	NOUN
arees-709	182	29	model	model	NOUN
arees-709	182	30	,	,	PUNCT
arees-709	182	31	"	"	PUNCT
arees-709	182	32	water	water	NOUN
arees-709	182	33	resources	resource	NOUN
arees-709	182	34	research	research	NOUN
arees-709	182	35	,	,	PUNCT
arees-709	182	36	vol	vol	NOUN
arees-709	182	37	.	.	PROPN
arees-709	182	38	50	50	NUM
arees-709	182	39	,	,	PUNCT
arees-709	182	40	pp	pp	ADJ
arees-709	182	41	.	.	PUNCT
arees-709	182	42	3073	3073	NUM
arees-709	182	43	-	-	SYM
arees-709	182	44	3087	3087	NUM
arees-709	182	45	,	,	PUNCT
arees-709	182	46	2014.available	2014.available	ADJ
arees-709	182	47	at	at	ADP
arees-709	182	48	:	:	PUNCT
arees-709	182	49	https://doi.org/10.1002/2013wr014243	https://doi.org/10.1002/2013wr014243	PROPN
arees-709	182	50	.	.	PUNCT
arees-709	183	1	[	[	X
arees-709	183	2	6	6	NUM
arees-709	183	3	]	]	PUNCT
arees-709	183	4	b.	b.	PROPN
arees-709	183	5	loubna	loubna	PROPN
arees-709	183	6	,	,	PUNCT
arees-709	183	7	d.	d.	PROPN
arees-709	183	8	caissie	caissie	PROPN
arees-709	183	9	,	,	PUNCT
arees-709	183	10	a.	a.	PROPN
arees-709	183	11	st	st	PROPN
arees-709	183	12	-	-	PUNCT
arees-709	183	13	hilaire	hilaire	PROPN
arees-709	183	14	,	,	PUNCT
arees-709	183	15	t.	t.	PROPN
arees-709	183	16	b.	b.	PROPN
arees-709	183	17	ouarda	ouarda	PROPN
arees-709	183	18	,	,	PUNCT
arees-709	183	19	and	and	CCONJ
arees-709	183	20	b.	b.	PROPN
arees-709	183	21	bobée	bobée	PROPN
arees-709	183	22	,	,	PUNCT
arees-709	183	23	"	"	PUNCT
arees-709	183	24	a	a	DET
arees-709	183	25	review	review	NOUN
arees-709	183	26	of	of	ADP
arees-709	183	27	statistical	statistical	ADJ
arees-709	183	28	water	water	NOUN
arees-709	183	29	temperature	temperature	NOUN
arees-709	183	30	models	model	NOUN
arees-709	183	31	,	,	PUNCT
arees-709	183	32	"	"	PUNCT
arees-709	183	33	canadian	canadian	ADJ
arees-709	183	34	water	water	NOUN
arees-709	183	35	resources	resource	NOUN
arees-709	183	36	journal	journal	NOUN
arees-709	183	37	,	,	PUNCT
arees-709	183	38	vol	vol	NOUN
arees-709	183	39	.	.	PROPN
arees-709	183	40	32	32	NUM
arees-709	183	41	,	,	PUNCT
arees-709	183	42	pp	pp	ADJ
arees-709	183	43	.	.	PUNCT
arees-709	184	1	179	179	NUM
arees-709	184	2	-	-	SYM
arees-709	184	3	192	192	NUM
arees-709	184	4	,	,	PUNCT
arees-709	184	5	2007.available	2007.available	ADJ
arees-709	184	6	at	at	ADP
arees-709	184	7	:	:	PUNCT
arees-709	184	8	https://doi.org/10.4296/cwrj3203179	https://doi.org/10.4296/cwrj3203179	VERB
arees-709	184	9	.	.	PUNCT
arees-709	185	1	[	[	X
arees-709	185	2	7	7	X
arees-709	185	3	]	]	X
arees-709	185	4	b.	b.	PROPN
arees-709	185	5	a.	a.	PROPN
arees-709	185	6	sinokrot	sinokrot	PROPN
arees-709	185	7	and	and	CCONJ
arees-709	185	8	h.	h.	PROPN
arees-709	185	9	g.	g.	PROPN
arees-709	185	10	stefan	stefan	PROPN
arees-709	185	11	,	,	PUNCT
arees-709	185	12	"	"	PUNCT
arees-709	185	13	stream	stream	VERB
arees-709	185	14	temperature	temperature	NOUN
arees-709	185	15	dynamics	dynamic	NOUN
arees-709	185	16	:	:	PUNCT
arees-709	185	17	measurements	measurement	NOUN
arees-709	185	18	and	and	CCONJ
arees-709	185	19	modelling	modelling	NOUN
arees-709	185	20	,	,	PUNCT
arees-709	185	21	"	"	PUNCT
arees-709	185	22	water	water	NOUN
arees-709	185	23	resources	resource	NOUN
arees-709	185	24	research	research	NOUN
arees-709	185	25	,	,	PUNCT
arees-709	185	26	vol	vol	NOUN
arees-709	185	27	.	.	PROPN
arees-709	185	28	29	29	NUM
arees-709	185	29	,	,	PUNCT
arees-709	185	30	pp	pp	ADJ
arees-709	185	31	.	.	PUNCT
arees-709	186	1	2299–2312	2299–2312	NUM
arees-709	186	2	,	,	PUNCT
arees-709	186	3	1993.available	1993.available	ADJ
arees-709	186	4	at	at	ADP
arees-709	186	5	:	:	PUNCT
arees-709	186	6	https://doi.org/10.1029/93wr00540	https://doi.org/10.1029/93wr00540	X
arees-709	186	7	.	.	PUNCT
arees-709	187	1	[	[	X
arees-709	187	2	8	8	NUM
arees-709	187	3	]	]	X
arees-709	187	4	b.	b.	PROPN
arees-709	187	5	webb	webb	PROPN
arees-709	187	6	and	and	CCONJ
arees-709	187	7	f.	f.	PROPN
arees-709	187	8	nobilis	nobilis	PROPN
arees-709	187	9	,	,	PUNCT
arees-709	187	10	"	"	PUNCT
arees-709	187	11	long	long	ADJ
arees-709	187	12	-	-	PUNCT
arees-709	187	13	term	term	NOUN
arees-709	187	14	perspective	perspective	NOUN
arees-709	187	15	on	on	ADP
arees-709	187	16	the	the	DET
arees-709	187	17	nature	nature	NOUN
arees-709	187	18	of	of	ADP
arees-709	187	19	the	the	DET
arees-709	187	20	air	air	NOUN
arees-709	187	21	–	–	PUNCT
arees-709	187	22	water	water	NOUN
arees-709	187	23	temperature	temperature	NOUN
arees-709	187	24	relationship	relationship	NOUN
arees-709	187	25	:	:	PUNCT
arees-709	187	26	a	a	DET
arees-709	187	27	case	case	NOUN
arees-709	187	28	study	study	NOUN
arees-709	187	29	,	,	PUNCT
arees-709	187	30	"	"	PUNCT
arees-709	187	31	hydrological	hydrological	ADJ
arees-709	187	32	processes	process	NOUN
arees-709	187	33	,	,	PUNCT
arees-709	187	34	vol	vol	NOUN
arees-709	187	35	.	.	PROPN
arees-709	187	36	11	11	NUM
arees-709	187	37	,	,	PUNCT
arees-709	187	38	pp	pp	ADJ
arees-709	187	39	.	.	PUNCT
arees-709	188	1	137	137	NUM
arees-709	188	2	-	-	SYM
arees-709	188	3	147	147	NUM
arees-709	188	4	,	,	PUNCT
arees-709	188	5	1997.available	1997.available	INTJ
arees-709	188	6	at	at	ADP
arees-709	188	7	:	:	PUNCT
arees-709	188	8	https://doi.org/10.1002/(sici)1099-1085(199702)11:2<137::aidhyp405>3.0.co;2-2	https://doi.org/10.1002/(sici)1099-1085(199702)11:2<137::aidhyp405>3.0.co;2-2	X
arees-709	188	9	.	.	PUNCT
arees-709	189	1	[	[	X
arees-709	189	2	9	9	NUM
arees-709	189	3	]	]	PUNCT
arees-709	189	4	j.	j.	PROPN
arees-709	189	5	c.	c.	PROPN
arees-709	189	6	morrill	morrill	PROPN
arees-709	189	7	,	,	PUNCT
arees-709	189	8	r.	r.	PROPN
arees-709	189	9	c.	c.	PROPN
arees-709	189	10	bales	bale	NOUN
arees-709	189	11	,	,	PUNCT
arees-709	189	12	and	and	CCONJ
arees-709	189	13	m.	m.	PROPN
arees-709	189	14	h.	h.	PROPN
arees-709	189	15	conklin	conklin	PROPN
arees-709	189	16	,	,	PUNCT
arees-709	189	17	"	"	PUNCT
arees-709	189	18	estimating	estimate	VERB
arees-709	189	19	stream	stream	NOUN
arees-709	189	20	temperature	temperature	NOUN
arees-709	189	21	from	from	ADP
arees-709	189	22	air	air	NOUN
arees-709	189	23	temperature	temperature	NOUN
arees-709	189	24	:	:	PUNCT
arees-709	189	25	implications	implication	NOUN
arees-709	189	26	for	for	ADP
arees-709	189	27	future	future	ADJ
arees-709	189	28	water	water	NOUN
arees-709	189	29	quality	quality	NOUN
arees-709	189	30	,	,	PUNCT
arees-709	189	31	"	"	PUNCT
arees-709	189	32	journal	journal	NOUN
arees-709	189	33	of	of	ADP
arees-709	189	34	environmental	environmental	ADJ
arees-709	189	35	engineering	engineering	NOUN
arees-709	189	36	,	,	PUNCT
arees-709	189	37	vol	vol	NOUN
arees-709	189	38	.	.	PROPN
arees-709	190	1	131	131	NUM
arees-709	190	2	,	,	PUNCT
arees-709	190	3	pp	pp	ADJ
arees-709	190	4	.	.	PUNCT
arees-709	191	1	139	139	NUM
arees-709	191	2	-	-	SYM
arees-709	191	3	146	146	NUM
arees-709	191	4	,	,	PUNCT
arees-709	191	5	2005.available	2005.available	ADJ
arees-709	191	6	at	at	ADP
arees-709	191	7	:	:	PUNCT
arees-709	191	8	https://doi.org/10.1061/(asce)07339372(2005)131:1(139	https://doi.org/10.1061/(asce)07339372(2005)131:1(139	PROPN
arees-709	191	9	.	.	PUNCT
arees-709	192	1	[	[	X
arees-709	192	2	10	10	NUM
arees-709	192	3	]	]	X
arees-709	192	4	o.	o.	NOUN
arees-709	192	5	mohseni	mohseni	PROPN
arees-709	192	6	,	,	PUNCT
arees-709	192	7	h.	h.	PROPN
arees-709	192	8	stefan	stefan	PROPN
arees-709	192	9	,	,	PUNCT
arees-709	192	10	and	and	CCONJ
arees-709	192	11	t.	t.	PROPN
arees-709	192	12	erickson	erickson	PROPN
arees-709	192	13	,	,	PUNCT
arees-709	192	14	"	"	PUNCT
arees-709	192	15	a	a	DET
arees-709	192	16	non	non	ADJ
arees-709	192	17	-	-	ADJ
arees-709	192	18	linear	linear	ADJ
arees-709	192	19	regression	regression	NOUN
arees-709	192	20	model	model	NOUN
arees-709	192	21	for	for	ADP
arees-709	192	22	weekly	weekly	ADJ
arees-709	192	23	stream	stream	NOUN
arees-709	192	24	temperatures	temperature	NOUN
arees-709	192	25	,	,	PUNCT
arees-709	192	26	"	"	PUNCT
arees-709	192	27	water	water	NOUN
arees-709	192	28	resources	resource	NOUN
arees-709	192	29	research	research	NOUN
arees-709	192	30	,	,	PUNCT
arees-709	192	31	vol	vol	NOUN
arees-709	192	32	.	.	PROPN
arees-709	193	1	34	34	NUM
arees-709	193	2	,	,	PUNCT
arees-709	193	3	pp	pp	ADJ
arees-709	193	4	.	.	PUNCT
arees-709	194	1	2685–2692	2685–2692	NUM
arees-709	194	2	,	,	PUNCT
arees-709	194	3	1998.available	1998.available	ADJ
arees-709	194	4	at	at	ADP
arees-709	194	5	:	:	PUNCT
arees-709	194	6	https://doi.org/10.1029/98wr01877	https://doi.org/10.1029/98wr01877	NOUN
arees-709	194	7	.	.	PUNCT
arees-709	195	1	[	[	X
arees-709	195	2	11	11	NUM
arees-709	195	3	]	]	X
arees-709	195	4	o.	o.	NOUN
arees-709	195	5	mohseni	mohseni	NOUN
arees-709	195	6	,	,	PUNCT
arees-709	195	7	t.	t.	PROPN
arees-709	195	8	r.	r.	PROPN
arees-709	195	9	erickson	erickson	PROPN
arees-709	195	10	,	,	PUNCT
arees-709	195	11	and	and	CCONJ
arees-709	195	12	h.	h.	PROPN
arees-709	195	13	g.	g.	PROPN
arees-709	195	14	stefan	stefan	PROPN
arees-709	195	15	,	,	PUNCT
arees-709	195	16	"	"	PUNCT
arees-709	195	17	sensitivity	sensitivity	NOUN
arees-709	195	18	of	of	ADP
arees-709	195	19	stream	stream	NOUN
arees-709	195	20	temperatures	temperature	NOUN
arees-709	195	21	in	in	ADP
arees-709	195	22	the	the	DET
arees-709	195	23	united	united	PROPN
arees-709	195	24	states	states	PROPN
arees-709	195	25	to	to	ADP
arees-709	195	26	air	air	NOUN
arees-709	195	27	temperatures	temperature	NOUN
arees-709	195	28	projected	project	VERB
arees-709	195	29	under	under	ADP
arees-709	195	30	a	a	DET
arees-709	195	31	global	global	ADJ
arees-709	195	32	warming	warming	NOUN
arees-709	195	33	scenario	scenario	NOUN
arees-709	195	34	,	,	PUNCT
arees-709	195	35	"	"	PUNCT
arees-709	195	36	water	water	NOUN
arees-709	195	37	resources	resource	NOUN
arees-709	195	38	research	research	NOUN
arees-709	195	39	,	,	PUNCT
arees-709	195	40	vol	vol	NOUN
arees-709	195	41	.	.	PROPN
arees-709	195	42	35	35	NUM
arees-709	195	43	,	,	PUNCT
arees-709	195	44	pp	pp	ADJ
arees-709	195	45	.	.	PUNCT
arees-709	195	46	3723	3723	NUM
arees-709	195	47	-	-	SYM
arees-709	195	48	3733	3733	NUM
arees-709	195	49	,	,	PUNCT
arees-709	195	50	1999.available	1999.available	ADJ
arees-709	195	51	at	at	ADP
arees-709	195	52	:	:	PUNCT
arees-709	195	53	https://doi.org/10.1029/1999wr900193	https://doi.org/10.1029/1999wr900193	NOUN
arees-709	195	54	.	.	PUNCT
arees-709	196	1	[	[	X
arees-709	196	2	12	12	NUM
arees-709	196	3	]	]	PUNCT
arees-709	196	4	v.	v.	ADP
arees-709	196	5	m.	m.	PROPN
arees-709	196	6	vliet	vliet	PROPN
arees-709	196	7	,	,	PUNCT
arees-709	196	8	f.	f.	PROPN
arees-709	196	9	ludwig	ludwig	PROPN
arees-709	196	10	,	,	PUNCT
arees-709	196	11	j.	j.	PROPN
arees-709	196	12	zwolsman	zwolsman	PROPN
arees-709	196	13	,	,	PUNCT
arees-709	196	14	g.	g.	PROPN
arees-709	196	15	weedon	weedon	PROPN
arees-709	196	16	,	,	PUNCT
arees-709	196	17	and	and	CCONJ
arees-709	196	18	p.	p.	PROPN
arees-709	196	19	kabat	kabat	PROPN
arees-709	196	20	,	,	PUNCT
arees-709	196	21	"	"	PUNCT
arees-709	196	22	global	global	ADJ
arees-709	196	23	river	river	NOUN
arees-709	196	24	temperatures	temperature	NOUN
arees-709	196	25	and	and	CCONJ
arees-709	196	26	sensitivity	sensitivity	NOUN
arees-709	196	27	to	to	ADP
arees-709	196	28	atmospheric	atmospheric	ADJ
arees-709	196	29	warming	warming	NOUN
arees-709	196	30	and	and	CCONJ
arees-709	196	31	changes	change	NOUN
arees-709	196	32	in	in	ADP
arees-709	196	33	river	river	NOUN
arees-709	196	34	flow	flow	NOUN
arees-709	196	35	,	,	PUNCT
arees-709	196	36	"	"	PUNCT
arees-709	196	37	water	water	NOUN
arees-709	196	38	resources	resource	NOUN
arees-709	196	39	research	research	NOUN
arees-709	196	40	,	,	PUNCT
arees-709	196	41	vol	vol	NOUN
arees-709	196	42	.	.	PROPN
arees-709	197	1	47	47	NUM
arees-709	197	2	,	,	PUNCT
arees-709	197	3	p.	p.	PROPN
arees-709	197	4	w02544	w02544	PROPN
arees-709	197	5	,	,	PUNCT
arees-709	197	6	2011.available	2011.available	ADJ
arees-709	197	7	at	at	ADP
arees-709	197	8	:	:	PUNCT
arees-709	197	9	https://doi.org/10.1029/2010wr009198	https://doi.org/10.1029/2010wr009198	PROPN
arees-709	197	10	.	.	PUNCT
arees-709	198	1	[	[	X
arees-709	198	2	13	13	NUM
arees-709	198	3	]	]	X
arees-709	198	4	b.	b.	PROPN
arees-709	198	5	ahmadi	ahmadi	PROPN
arees-709	198	6	-	-	PUNCT
arees-709	198	7	nedushan	nedushan	PROPN
arees-709	198	8	,	,	PUNCT
arees-709	198	9	a.	a.	PROPN
arees-709	198	10	st	st	PROPN
arees-709	198	11	-	-	PUNCT
arees-709	198	12	hilaire	hilaire	PROPN
arees-709	198	13	,	,	PUNCT
arees-709	198	14	t.	t.	PROPN
arees-709	198	15	b.	b.	PROPN
arees-709	198	16	ouarda	ouarda	PROPN
arees-709	198	17	,	,	PUNCT
arees-709	198	18	l.	l.	PROPN
arees-709	198	19	bilodeau	bilodeau	PROPN
arees-709	198	20	,	,	PUNCT
arees-709	198	21	e.	e.	PROPN
arees-709	198	22	robichaud	robichaud	PROPN
arees-709	198	23	,	,	PUNCT
arees-709	198	24	n.	n.	NOUN
arees-709	198	25	thiémonge	thiémonge	NOUN
arees-709	198	26	,	,	PUNCT
arees-709	198	27	and	and	CCONJ
arees-709	198	28	b.	b.	PROPN
arees-709	198	29	bobée	bobée	PROPN
arees-709	198	30	,	,	PUNCT
arees-709	198	31	"	"	PUNCT
arees-709	198	32	predicting	predict	VERB
arees-709	198	33	river	river	NOUN
arees-709	198	34	water	water	NOUN
arees-709	198	35	temperatures	temperature	NOUN
arees-709	198	36	using	use	VERB
arees-709	198	37	stochastic	stochastic	ADJ
arees-709	198	38	models	model	NOUN
arees-709	198	39	:	:	PUNCT
arees-709	198	40	case	case	NOUN
arees-709	198	41	study	study	NOUN
arees-709	198	42	of	of	ADP
arees-709	198	43	the	the	DET
arees-709	198	44	moisie	moisie	PROPN
arees-709	198	45	river	river	PROPN
arees-709	198	46	(	(	PUNCT
arees-709	198	47	québec	québec	PROPN
arees-709	198	48	,	,	PUNCT
arees-709	198	49	canada	canada	PROPN
arees-709	198	50	)	)	PUNCT
arees-709	198	51	,	,	PUNCT
arees-709	198	52	"	"	PUNCT
arees-709	198	53	hydrological	hydrological	ADJ
arees-709	198	54	processes	process	NOUN
arees-709	198	55	:	:	PUNCT
arees-709	198	56	an	an	DET
arees-709	198	57	international	international	ADJ
arees-709	198	58	journal	journal	NOUN
arees-709	198	59	,	,	PUNCT
arees-709	198	60	vol	vol	NOUN
arees-709	198	61	.	.	PROPN
arees-709	198	62	21	21	NUM
arees-709	198	63	,	,	PUNCT
arees-709	198	64	pp	pp	ADJ
arees-709	198	65	.	.	PUNCT
arees-709	198	66	21	21	NUM
arees-709	198	67	-	-	SYM
arees-709	198	68	34	34	NUM
arees-709	198	69	,	,	PUNCT
arees-709	198	70	2007.available	2007.available	ADJ
arees-709	198	71	at	at	ADP
arees-709	198	72	:	:	PUNCT
arees-709	198	73	https://doi.org/10.1002/hyp.6353	https://doi.org/10.1002/hyp.6353	PROPN
arees-709	198	74	.	.	PUNCT
arees-709	199	1	[	[	X
arees-709	199	2	14	14	NUM
arees-709	199	3	]	]	PUNCT
arees-709	199	4	a.	a.	NOUN
arees-709	199	5	rabi	rabi	NOUN
arees-709	199	6	,	,	PUNCT
arees-709	199	7	m.	m.	NOUN
arees-709	199	8	hadzima	hadzima	PROPN
arees-709	199	9	-	-	PUNCT
arees-709	199	10	nyarko	nyarko	PROPN
arees-709	199	11	,	,	PUNCT
arees-709	199	12	and	and	CCONJ
arees-709	199	13	m.	m.	NOUN
arees-709	199	14	šperac	šperac	NOUN
arees-709	199	15	,	,	PUNCT
arees-709	199	16	"	"	PUNCT
arees-709	199	17	modelling	model	VERB
arees-709	199	18	river	river	NOUN
arees-709	199	19	temperature	temperature	NOUN
arees-709	199	20	from	from	ADP
arees-709	199	21	air	air	NOUN
arees-709	199	22	temperature	temperature	NOUN
arees-709	199	23	:	:	PUNCT
arees-709	199	24	case	case	NOUN
arees-709	199	25	of	of	ADP
arees-709	199	26	the	the	DET
arees-709	199	27	river	river	NOUN
arees-709	199	28	drava	drava	NOUN
arees-709	199	29	(	(	PUNCT
arees-709	199	30	croatia	croatia	PROPN
arees-709	199	31	)	)	PUNCT
arees-709	199	32	,	,	PUNCT
arees-709	199	33	"	"	PUNCT
arees-709	199	34	hydrological	hydrological	ADJ
arees-709	199	35	sciences	sciences	PROPN
arees-709	199	36	journal	journal	NOUN
arees-709	199	37	,	,	PUNCT
arees-709	199	38	vol	vol	NOUN
arees-709	199	39	.	.	PROPN
arees-709	199	40	60	60	NUM
arees-709	199	41	,	,	PUNCT
arees-709	199	42	pp	pp	ADJ
arees-709	199	43	.	.	PUNCT
arees-709	200	1	1490	1490	NUM
arees-709	200	2	-	-	SYM
arees-709	200	3	1507	1507	NUM
arees-709	200	4	,	,	PUNCT
arees-709	200	5	2015.available	2015.available	NOUN
arees-709	200	6	at	at	ADP
arees-709	200	7	:	:	PUNCT
arees-709	200	8	https://doi.org/10.1080/02626667.2014.914215	https://doi.org/10.1080/02626667.2014.914215	X
arees-709	200	9	.	.	PUNCT
arees-709	201	1	[	[	X
arees-709	201	2	15	15	NUM
arees-709	201	3	]	]	X
arees-709	201	4	v.	v.	ADP
arees-709	201	5	kothandaraman	kothandaraman	NOUN
arees-709	201	6	,	,	PUNCT
arees-709	201	7	"	"	PUNCT
arees-709	201	8	analysis	analysis	NOUN
arees-709	201	9	of	of	ADP
arees-709	201	10	water	water	NOUN
arees-709	201	11	temperature	temperature	NOUN
arees-709	201	12	variations	variation	NOUN
arees-709	201	13	in	in	ADP
arees-709	201	14	large	large	ADJ
arees-709	201	15	rivers	river	NOUN
arees-709	201	16	,	,	PUNCT
arees-709	201	17	"	"	PUNCT
arees-709	201	18	journal	journal	NOUN
arees-709	201	19	of	of	ADP
arees-709	201	20	the	the	DET
arees-709	201	21	sanitary	sanitary	NOUN
arees-709	201	22	engineering	engineering	NOUN
arees-709	201	23	division	division	NOUN
arees-709	201	24	,	,	PUNCT
arees-709	201	25	vol	vol	NOUN
arees-709	201	26	.	.	PROPN
arees-709	201	27	97	97	NUM
arees-709	201	28	,	,	PUNCT
arees-709	201	29	pp	pp	ADJ
arees-709	201	30	.	.	PUNCT
arees-709	201	31	19–31	19–31	NUM
arees-709	201	32	,	,	PUNCT
arees-709	201	33	1971	1971	NUM
arees-709	201	34	.	.	PUNCT
arees-709	202	1	[	[	X
arees-709	202	2	16	16	NUM
arees-709	202	3	]	]	PUNCT
arees-709	202	4	h.-n	h.-n	PROPN
arees-709	202	5	.	.	PUNCT
arees-709	203	1	marijana	marijana	PROPN
arees-709	203	2	,	,	PUNCT
arees-709	203	3	r.	r.	PROPN
arees-709	203	4	anamarija	anamarija	PROPN
arees-709	203	5	,	,	PUNCT
arees-709	203	6	and	and	CCONJ
arees-709	203	7	š	š	PROPN
arees-709	203	8	.	.	PUNCT
arees-709	203	9	marija	marija	PROPN
arees-709	203	10	,	,	PUNCT
arees-709	203	11	"	"	PUNCT
arees-709	203	12	implementation	implementation	NOUN
arees-709	203	13	of	of	ADP
arees-709	203	14	artificial	artificial	ADJ
arees-709	203	15	neural	neural	ADJ
arees-709	203	16	networks	network	NOUN
arees-709	203	17	in	in	ADP
arees-709	203	18	modeling	model	VERB
arees-709	203	19	the	the	DET
arees-709	203	20	water	water	NOUN
arees-709	203	21	-	-	PUNCT
arees-709	203	22	air	air	NOUN
arees-709	203	23	temperature	temperature	NOUN
arees-709	203	24	relationship	relationship	NOUN
arees-709	203	25	of	of	ADP
arees-709	203	26	the	the	DET
arees-709	203	27	river	river	NOUN
arees-709	203	28	drava	drava	NOUN
arees-709	203	29	,	,	PUNCT
arees-709	203	30	"	"	PUNCT
arees-709	203	31	water	water	NOUN
arees-709	203	32	resour	resour	NOUN
arees-709	203	33	manage	manage	NOUN
arees-709	203	34	,	,	PUNCT
arees-709	203	35	vol	vol	NOUN
arees-709	203	36	.	.	PROPN
arees-709	203	37	28	28	NUM
arees-709	203	38	,	,	PUNCT
arees-709	203	39	pp	pp	ADJ
arees-709	203	40	.	.	PUNCT
arees-709	203	41	1379–1394	1379–1394	NUM
arees-709	203	42	,	,	PUNCT
arees-709	203	43	2014.available	2014.available	ADJ
arees-709	203	44	at	at	ADP
arees-709	203	45	:	:	PUNCT
arees-709	203	46	10.1007	10.1007	NUM
arees-709	203	47	/	/	SYM
arees-709	203	48	s11269	s11269	NOUN
arees-709	203	49	-	-	PUNCT
arees-709	203	50	014	014	NUM
arees-709	203	51	-	-	PUNCT
arees-709	203	52	0557	0557	NUM
arees-709	203	53	-	-	SYM
arees-709	203	54	7	7	NUM
arees-709	203	55	.	.	PUNCT
arees-709	204	1	[	[	X
arees-709	204	2	17	17	NUM
arees-709	204	3	]	]	X
arees-709	204	4	g.	g.	PROPN
arees-709	204	5	sahoo	sahoo	PROPN
arees-709	204	6	,	,	PUNCT
arees-709	204	7	s.	s.	PROPN
arees-709	204	8	schladow	schladow	PROPN
arees-709	204	9	,	,	PUNCT
arees-709	204	10	and	and	CCONJ
arees-709	204	11	j.	j.	PROPN
arees-709	204	12	reuter	reuter	PROPN
arees-709	204	13	,	,	PUNCT
arees-709	204	14	"	"	PUNCT
arees-709	204	15	forecasting	forecasting	NOUN
arees-709	204	16	stream	stream	NOUN
arees-709	204	17	water	water	NOUN
arees-709	204	18	temperature	temperature	NOUN
arees-709	204	19	using	use	VERB
arees-709	204	20	regression	regression	NOUN
arees-709	204	21	analysis	analysis	NOUN
arees-709	204	22	,	,	PUNCT
arees-709	204	23	artificial	artificial	ADJ
arees-709	204	24	neural	neural	ADJ
arees-709	204	25	network	network	NOUN
arees-709	204	26	,	,	PUNCT
arees-709	204	27	and	and	CCONJ
arees-709	204	28	chaotic	chaotic	ADJ
arees-709	204	29	non	non	ADJ
arees-709	204	30	-	-	ADJ
arees-709	204	31	linear	linear	ADJ
arees-709	204	32	dynamic	dynamic	ADJ
arees-709	204	33	models	model	NOUN
arees-709	204	34	,	,	PUNCT
arees-709	204	35	"	"	PUNCT
arees-709	204	36	journal	journal	NOUN
arees-709	204	37	of	of	ADP
arees-709	204	38	hydrology	hydrology	NOUN
arees-709	204	39	,	,	PUNCT
arees-709	204	40	vol	vol	NOUN
arees-709	204	41	.	.	PROPN
arees-709	204	42	378	378	NUM
arees-709	204	43	,	,	PUNCT
arees-709	204	44	pp	pp	ADJ
arees-709	204	45	.	.	PUNCT
arees-709	205	1	325	325	NUM
arees-709	205	2	-	-	SYM
arees-709	205	3	342	342	NUM
arees-709	205	4	,	,	PUNCT
arees-709	205	5	2009.available	2009.available	ADJ
arees-709	205	6	at	at	ADP
arees-709	205	7	:	:	PUNCT
arees-709	205	8	https://doi.org/10.1016/j.jhydrol.2009.09.037	https://doi.org/10.1016/j.jhydrol.2009.09.037	NUM
arees-709	205	9	.	.	PUNCT
arees-709	206	1	[	[	X
arees-709	206	2	18	18	NUM
arees-709	206	3	]	]	X
arees-709	206	4	j.	j.	PROPN
arees-709	206	5	t.	t.	PROPN
arees-709	206	6	deweber	deweber	PROPN
arees-709	206	7	and	and	CCONJ
arees-709	206	8	t.	t.	PROPN
arees-709	206	9	wagner	wagner	PROPN
arees-709	206	10	,	,	PUNCT
arees-709	206	11	"	"	PUNCT
arees-709	206	12	a	a	DET
arees-709	206	13	regional	regional	ADJ
arees-709	206	14	neural	neural	ADJ
arees-709	206	15	network	network	NOUN
arees-709	206	16	ensemble	ensemble	ADJ
arees-709	206	17	for	for	ADP
arees-709	206	18	predicting	predict	VERB
arees-709	206	19	mean	mean	PROPN
arees-709	206	20	daily	daily	PROPN
arees-709	206	21	river	river	NOUN
arees-709	206	22	water	water	NOUN
arees-709	206	23	temperature	temperature	NOUN
arees-709	206	24	,	,	PUNCT
arees-709	206	25	"	"	PUNCT
arees-709	206	26	journal	journal	NOUN
arees-709	206	27	of	of	ADP
arees-709	206	28	hydrology	hydrology	NOUN
arees-709	206	29	,	,	PUNCT
arees-709	206	30	vol	vol	NOUN
arees-709	206	31	.	.	PROPN
arees-709	207	1	517	517	NUM
arees-709	207	2	,	,	PUNCT
arees-709	207	3	pp	pp	ADJ
arees-709	207	4	.	.	PUNCT
arees-709	208	1	187	187	NUM
arees-709	208	2	-	-	SYM
arees-709	208	3	200	200	NUM
arees-709	208	4	,	,	PUNCT
arees-709	208	5	2014.available	2014.available	ADJ
arees-709	208	6	at	at	ADP
arees-709	208	7	:	:	PUNCT
arees-709	208	8	https://doi.org/10.1016/j.jhydrol.2014.05.035	https://doi.org/10.1016/j.jhydrol.2014.05.035	PROPN
arees-709	208	9	.	.	PUNCT
arees-709	209	1	[	[	X
arees-709	209	2	19	19	NUM
arees-709	209	3	]	]	X
arees-709	209	4	d.	d.	PROPN
arees-709	209	5	a.	a.	PROPN
arees-709	209	6	cluis	cluis	PROPN
arees-709	209	7	,	,	PUNCT
arees-709	209	8	"	"	PUNCT
arees-709	209	9	relationship	relationship	NOUN
arees-709	209	10	between	between	ADP
arees-709	209	11	stream	stream	NOUN
arees-709	209	12	water	water	NOUN
arees-709	209	13	temperature	temperature	NOUN
arees-709	209	14	and	and	CCONJ
arees-709	209	15	ambient	ambient	ADJ
arees-709	209	16	air	air	NOUN
arees-709	209	17	temperature	temperature	NOUN
arees-709	209	18	:	:	PUNCT
arees-709	209	19	a	a	DET
arees-709	209	20	simple	simple	ADJ
arees-709	209	21	autoregressive	autoregressive	ADJ
arees-709	209	22	model	model	NOUN
arees-709	209	23	for	for	ADP
arees-709	209	24	mean	mean	ADJ
arees-709	209	25	daily	daily	ADJ
arees-709	209	26	stream	stream	NOUN
arees-709	209	27	water	water	NOUN
arees-709	209	28	temperature	temperature	NOUN
arees-709	209	29	fluctuations	fluctuation	NOUN
arees-709	209	30	,	,	PUNCT
arees-709	209	31	"	"	PUNCT
arees-709	209	32	hydrology	hydrology	NOUN
arees-709	209	33	research	research	NOUN
arees-709	209	34	,	,	PUNCT
arees-709	209	35	vol	vol	NOUN
arees-709	209	36	.	.	PROPN
arees-709	210	1	3	3	NUM
arees-709	210	2	,	,	PUNCT
arees-709	210	3	pp	pp	ADJ
arees-709	210	4	.	.	PUNCT
arees-709	211	1	65	65	NUM
arees-709	211	2	-	-	SYM
arees-709	211	3	71	71	NUM
arees-709	211	4	,	,	PUNCT
arees-709	211	5	1972.available	1972.available	ADJ
arees-709	211	6	at	at	ADP
arees-709	211	7	:	:	PUNCT
arees-709	211	8	https://doi.org/10.2166/nh.1972.0004	https://doi.org/10.2166/nh.1972.0004	NOUN
arees-709	211	9	.	.	PUNCT
arees-709	212	1	[	[	X
arees-709	212	2	20	20	NUM
arees-709	212	3	]	]	X
arees-709	212	4	n.	n.	PROPN
arees-709	212	5	sivri	sivri	PROPN
arees-709	212	6	,	,	PUNCT
arees-709	212	7	h.	h.	PROPN
arees-709	212	8	k.	k.	PROPN
arees-709	212	9	ozcan	ozcan	PROPN
arees-709	212	10	,	,	PUNCT
arees-709	212	11	o.	o.	PROPN
arees-709	212	12	n.	n.	PROPN
arees-709	212	13	ucan	ucan	PROPN
arees-709	212	14	,	,	PUNCT
arees-709	212	15	and	and	CCONJ
arees-709	212	16	o.	o.	ADJ
arees-709	212	17	akincilar	akincilar	PROPN
arees-709	212	18	,	,	PUNCT
arees-709	212	19	"	"	PUNCT
arees-709	212	20	estimation	estimation	NOUN
arees-709	212	21	of	of	ADP
arees-709	212	22	stream	stream	NOUN
arees-709	212	23	temperature	temperature	NOUN
arees-709	212	24	in	in	ADP
arees-709	212	25	degirmendere	degirmendere	PROPN
arees-709	212	26	river	river	PROPN
arees-709	212	27	(	(	PUNCT
arees-709	212	28	trabzon	trabzon	NOUN
arees-709	212	29	-	-	PUNCT
arees-709	212	30	turkey	turkey	NOUN
arees-709	212	31	)	)	PUNCT
arees-709	212	32	using	use	VERB
arees-709	212	33	artificial	artificial	ADJ
arees-709	212	34	neural	neural	ADJ
arees-709	212	35	network	network	NOUN
arees-709	212	36	model	model	NOUN
arees-709	212	37	,	,	PUNCT
arees-709	212	38	"	"	PUNCT
arees-709	212	39	turkish	turkish	ADJ
arees-709	212	40	journal	journal	NOUN
arees-709	212	41	of	of	ADP
arees-709	212	42	fisheries	fishery	NOUN
arees-709	212	43	and	and	CCONJ
arees-709	212	44	aquatic	aquatic	ADJ
arees-709	212	45	sciences	science	NOUN
arees-709	212	46	,	,	PUNCT
arees-709	212	47	vol	vol	NOUN
arees-709	212	48	.	.	PROPN
arees-709	212	49	9	9	NUM
arees-709	212	50	,	,	PUNCT
arees-709	212	51	pp	pp	ADJ
arees-709	212	52	.	.	PUNCT
arees-709	213	1	145–150	145–150	NUM
arees-709	213	2	,	,	PUNCT
arees-709	213	3	2009	2009	NUM
arees-709	213	4	.	.	PUNCT
arees-709	214	1	[	[	X
arees-709	214	2	21	21	NUM
arees-709	214	3	]	]	X
arees-709	214	4	r.	r.	PROPN
arees-709	214	5	k.	k.	PROPN
arees-709	214	6	srivastav	srivastav	PROPN
arees-709	214	7	,	,	PUNCT
arees-709	214	8	k.	k.	PROPN
arees-709	215	1	p.	p.	PROPN
arees-709	215	2	sudheer	sudheer	NOUN
arees-709	215	3	,	,	PUNCT
arees-709	215	4	and	and	CCONJ
arees-709	215	5	i.	i.	PROPN
arees-709	215	6	chaubey	chaubey	PROPN
arees-709	215	7	,	,	PUNCT
arees-709	215	8	"	"	PUNCT
arees-709	215	9	a	a	DET
arees-709	215	10	simplified	simplified	ADJ
arees-709	215	11	approach	approach	NOUN
arees-709	215	12	to	to	ADP
arees-709	215	13	quantifying	quantify	VERB
arees-709	215	14	predictive	predictive	ADJ
arees-709	215	15	and	and	CCONJ
arees-709	215	16	parametric	parametric	ADJ
arees-709	215	17	uncertainty	uncertainty	NOUN
arees-709	215	18	in	in	ADP
arees-709	215	19	artificial	artificial	ADJ
arees-709	215	20	neural	neural	ADJ
arees-709	215	21	network	network	NOUN
arees-709	215	22	hydrologic	hydrologic	NOUN
arees-709	215	23	models	model	NOUN
arees-709	215	24	,	,	PUNCT
arees-709	215	25	"	"	PUNCT
arees-709	215	26	water	water	NOUN
arees-709	215	27	resources	resource	NOUN
arees-709	215	28	research	research	NOUN
arees-709	215	29	,	,	PUNCT
arees-709	215	30	vol	vol	NOUN
arees-709	215	31	.	.	PROPN
arees-709	215	32	43	43	NUM
arees-709	215	33	,	,	PUNCT
arees-709	215	34	p.	p.	NOUN
arees-709	215	35	w10407	w10407	PROPN
arees-709	215	36	,	,	PUNCT
arees-709	215	37	2007.available	2007.available	ADV
arees-709	215	38	at	at	ADP
arees-709	215	39	:	:	PUNCT
arees-709	215	40	https://	https://	PROPN
arees-709	215	41	doi:10.1029/2006wr005352	doi:10.1029/2006wr005352	PROPN
arees-709	215	42	.	.	PUNCT
arees-709	216	1	[	[	X
arees-709	216	2	22	22	NUM
arees-709	216	3	]	]	PUNCT
arees-709	216	4	j.	j.	PROPN
arees-709	216	5	e.	e.	PROPN
arees-709	216	6	nash	nash	PROPN
arees-709	216	7	and	and	CCONJ
arees-709	216	8	j.	j.	PROPN
arees-709	216	9	v.	v.	PROPN
arees-709	216	10	sutcliffe	sutcliffe	PROPN
arees-709	216	11	,	,	PUNCT
arees-709	216	12	"	"	PUNCT
arees-709	216	13	river	river	NOUN
arees-709	216	14	flow	flow	NOUN
arees-709	216	15	forecasting	forecasting	NOUN
arees-709	216	16	through	through	ADP
arees-709	216	17	conceptual	conceptual	ADJ
arees-709	216	18	models	model	NOUN
arees-709	216	19	.	.	PUNCT
arees-709	217	1	part	part	NOUN
arees-709	217	2	a.	a.	NOUN
arees-709	217	3	discussion	discussion	NOUN
arees-709	217	4	of	of	ADP
arees-709	217	5	principles	principle	NOUN
arees-709	217	6	,	,	PUNCT
arees-709	217	7	"	"	PUNCT
arees-709	217	8	journal	journal	NOUN
arees-709	217	9	of	of	ADP
arees-709	217	10	hydrology	hydrology	NOUN
arees-709	217	11	,	,	PUNCT
arees-709	217	12	vol	vol	NOUN
arees-709	217	13	.	.	PROPN
arees-709	218	1	10	10	NUM
arees-709	218	2	,	,	PUNCT
arees-709	218	3	pp	pp	ADJ
arees-709	218	4	.	.	PUNCT
arees-709	219	1	282	282	NUM
arees-709	219	2	-	-	SYM
arees-709	219	3	290	290	NUM
arees-709	219	4	,	,	PUNCT
arees-709	219	5	1970.available	1970.available	ADJ
arees-709	219	6	at	at	ADP
arees-709	219	7	:	:	PUNCT
arees-709	219	8	https://doi.org/10.1016/0022-1694(70)90255-6	https://doi.org/10.1016/0022-1694(70)90255-6	X
arees-709	219	9	.	.	PUNCT
arees-709	220	1	asian	asian	ADJ
arees-709	220	2	online	online	PROPN
arees-709	220	3	journal	journal	PROPN
arees-709	220	4	publishing	publishing	NOUN
arees-709	220	5	group	group	NOUN
arees-709	220	6	is	be	AUX
arees-709	220	7	not	not	PART
arees-709	220	8	responsible	responsible	ADJ
arees-709	220	9	or	or	CCONJ
arees-709	220	10	answerable	answerable	ADJ
arees-709	220	11	for	for	ADP
arees-709	220	12	any	any	DET
arees-709	220	13	loss	loss	NOUN
arees-709	220	14	,	,	PUNCT
arees-709	220	15	damage	damage	NOUN
arees-709	220	16	or	or	CCONJ
arees-709	220	17	liability	liability	NOUN
arees-709	220	18	,	,	PUNCT
arees-709	220	19	etc	etc	X
arees-709	220	20	.	.	X
arees-709	220	21	caused	cause	VERB
arees-709	220	22	in	in	ADP
arees-709	220	23	relation	relation	NOUN
arees-709	220	24	to	to	PART
arees-709	220	25	/	/	PUNCT
arees-709	220	26	arising	arise	VERB
arees-709	220	27	out	out	ADP
arees-709	220	28	of	of	ADP
arees-709	220	29	the	the	DET
arees-709	220	30	use	use	NOUN
arees-709	220	31	of	of	ADP
arees-709	220	32	the	the	DET
arees-709	220	33	content	content	NOUN
arees-709	220	34	.	.	PUNCT
arees-709	221	1	any	any	DET
arees-709	221	2	queries	query	NOUN
arees-709	221	3	should	should	AUX
arees-709	221	4	be	be	AUX
arees-709	221	5	directed	direct	VERB
arees-709	221	6	to	to	ADP
arees-709	221	7	the	the	DET
arees-709	221	8	corresponding	corresponding	ADJ
arees-709	221	9	author	author	NOUN
arees-709	221	10	of	of	ADP
arees-709	221	11	the	the	DET
arees-709	221	12	article	article	NOUN
arees-709	221	13	.	.	PUNCT
arees-709	222	1	http://www.fao.org/docrep/field/003/ac174e/ac174e01.htm#ch1	http://www.fao.org/docrep/field/003/ac174e/ac174e01.htm#ch1	PROPN
arees-709	222	2	,	,	PUNCT
arees-709	222	3	http://dx.doi.org/10.1080/02626667.2014.914215	http://dx.doi.org/10.1080/02626667.2014.914215	VERB