id	sid	tid	token	lemma	pos
ajst-16295	1	1	academic	academic	ADJ
ajst-16295	1	2	journal	journal	NOUN
ajst-16295	1	3	of	of	ADP
ajst-16295	1	4	science	science	NOUN
ajst-16295	1	5	and	and	CCONJ
ajst-16295	1	6	technology	technology	NOUN
ajst-16295	1	7	issn	issn	NOUN
ajst-16295	1	8	:	:	PUNCT
ajst-16295	1	9	2771	2771	NUM
ajst-16295	1	10	-	-	SYM
ajst-16295	1	11	3032	3032	NUM
ajst-16295	1	12	|	|	NOUN
ajst-16295	1	13	vol	vol	NOUN
ajst-16295	1	14	.	.	PROPN
ajst-16295	2	1	9	9	NUM
ajst-16295	2	2	,	,	PUNCT
ajst-16295	2	3	no	no	INTJ
ajst-16295	2	4	.	.	NOUN
ajst-16295	2	5	1	1	NUM
ajst-16295	2	6	,	,	PUNCT
ajst-16295	2	7	2024	2024	NUM
ajst-16295	2	8	66	66	NUM
ajst-16295	2	9	simulation	simulation	NOUN
ajst-16295	2	10	evaluation	evaluation	NOUN
ajst-16295	2	11	of	of	ADP
ajst-16295	2	12	transpiration	transpiration	NOUN
ajst-16295	2	13	ratio	ratio	NOUN
ajst-16295	2	14	(	(	PUNCT
ajst-16295	2	15	t	t	PROPN
ajst-16295	2	16	/	/	SYM
ajst-16295	2	17	et	et	NOUN
ajst-16295	2	18	)	)	PUNCT
ajst-16295	2	19	in	in	ADP
ajst-16295	2	20	the	the	DET
ajst-16295	2	21	yellow	yellow	PROPN
ajst-16295	2	22	river	river	PROPN
ajst-16295	2	23	basin	basin	PROPN
ajst-16295	2	24	shoubo	shoubo	PROPN
ajst-16295	2	25	cui	cui	PROPN
ajst-16295	2	26	*	*	PROPN
ajst-16295	2	27	school	school	NOUN
ajst-16295	2	28	of	of	ADP
ajst-16295	2	29	resources	resource	NOUN
ajst-16295	2	30	and	and	CCONJ
ajst-16295	2	31	environment	environment	NOUN
ajst-16295	2	32	,	,	PUNCT
ajst-16295	2	33	henan	henan	PROPN
ajst-16295	2	34	polytechnic	polytechnic	PROPN
ajst-16295	2	35	university	university	PROPN
ajst-16295	2	36	,	,	PUNCT
ajst-16295	2	37	jiaozuo	jiaozuo	PROPN
ajst-16295	2	38	454000	454000	NUM
ajst-16295	2	39	,	,	PUNCT
ajst-16295	2	40	china	china	PROPN
ajst-16295	2	41	*	*	PUNCT
ajst-16295	2	42	corresponding	correspond	VERB
ajst-16295	2	43	author	author	NOUN
ajst-16295	2	44	abstract	abstract	NOUN
ajst-16295	2	45	:	:	PUNCT
ajst-16295	2	46	it	it	PRON
ajst-16295	2	47	is	be	AUX
ajst-16295	2	48	of	of	ADP
ajst-16295	2	49	great	great	ADJ
ajst-16295	2	50	significance	significance	NOUN
ajst-16295	2	51	to	to	PART
ajst-16295	2	52	improve	improve	VERB
ajst-16295	2	53	the	the	DET
ajst-16295	2	54	simulation	simulation	NOUN
ajst-16295	2	55	accuracy	accuracy	NOUN
ajst-16295	2	56	of	of	ADP
ajst-16295	2	57	vegetation	vegetation	NOUN
ajst-16295	2	58	dynamics	dynamic	NOUN
ajst-16295	2	59	in	in	ADP
ajst-16295	2	60	land	land	NOUN
ajst-16295	2	61	surface	surface	NOUN
ajst-16295	2	62	models	model	NOUN
ajst-16295	2	63	for	for	ADP
ajst-16295	2	64	the	the	DET
ajst-16295	2	65	study	study	NOUN
ajst-16295	2	66	of	of	ADP
ajst-16295	2	67	dynamic	dynamic	ADJ
ajst-16295	2	68	changes	change	NOUN
ajst-16295	2	69	of	of	ADP
ajst-16295	2	70	vegetation	vegetation	NOUN
ajst-16295	2	71	on	on	ADP
ajst-16295	2	72	land	land	NOUN
ajst-16295	2	73	surface	surface	NOUN
ajst-16295	2	74	water	water	NOUN
ajst-16295	2	75	and	and	CCONJ
ajst-16295	2	76	heat	heat	NOUN
ajst-16295	2	77	cycling	cycling	NOUN
ajst-16295	2	78	.	.	PUNCT
ajst-16295	3	1	parameter	parameter	PROPN
ajst-16295	3	2	optimization	optimization	NOUN
ajst-16295	3	3	is	be	AUX
ajst-16295	3	4	an	an	DET
ajst-16295	3	5	effective	effective	ADJ
ajst-16295	3	6	means	mean	NOUN
ajst-16295	3	7	to	to	PART
ajst-16295	3	8	improve	improve	VERB
ajst-16295	3	9	the	the	DET
ajst-16295	3	10	simulation	simulation	NOUN
ajst-16295	3	11	accuracy	accuracy	NOUN
ajst-16295	3	12	of	of	ADP
ajst-16295	3	13	land	land	NOUN
ajst-16295	3	14	surface	surface	NOUN
ajst-16295	3	15	model	model	NOUN
ajst-16295	3	16	.	.	PUNCT
ajst-16295	4	1	aiming	aim	VERB
ajst-16295	4	2	at	at	ADP
ajst-16295	4	3	the	the	DET
ajst-16295	4	4	application	application	NOUN
ajst-16295	4	5	of	of	ADP
ajst-16295	4	6	noah	noah	PROPN
ajst-16295	4	7	-	-	PUNCT
ajst-16295	4	8	mp	mp	PROPN
ajst-16295	4	9	land	land	NOUN
ajst-16295	4	10	surface	surface	NOUN
ajst-16295	4	11	model	model	NOUN
ajst-16295	4	12	in	in	ADP
ajst-16295	4	13	the	the	DET
ajst-16295	4	14	yellow	yellow	PROPN
ajst-16295	4	15	river	river	NOUN
ajst-16295	4	16	basin	basin	NOUN
ajst-16295	4	17	,	,	PUNCT
ajst-16295	4	18	this	this	DET
ajst-16295	4	19	paper	paper	NOUN
ajst-16295	4	20	improves	improve	VERB
ajst-16295	4	21	the	the	DET
ajst-16295	4	22	simulation	simulation	NOUN
ajst-16295	4	23	performance	performance	NOUN
ajst-16295	4	24	of	of	ADP
ajst-16295	4	25	regional	regional	ADJ
ajst-16295	4	26	evapotranspiration	evapotranspiration	NOUN
ajst-16295	4	27	and	and	CCONJ
ajst-16295	4	28	transpiration	transpiration	NOUN
ajst-16295	4	29	ratio	ratio	NOUN
ajst-16295	4	30	by	by	ADP
ajst-16295	4	31	parameter	parameter	NOUN
ajst-16295	4	32	optimization	optimization	NOUN
ajst-16295	4	33	.	.	PUNCT
ajst-16295	5	1	keywords	keyword	NOUN
ajst-16295	5	2	:	:	PUNCT
ajst-16295	5	3	yellow	yellow	ADJ
ajst-16295	5	4	river	river	NOUN
ajst-16295	5	5	basin	basin	NOUN
ajst-16295	5	6	;	;	PUNCT
ajst-16295	5	7	noah	noah	PROPN
ajst-16295	5	8	-	-	PUNCT
ajst-16295	5	9	mp	mp	PROPN
ajst-16295	5	10	model	model	NOUN
ajst-16295	5	11	;	;	PUNCT
ajst-16295	5	12	dynamic	dynamic	ADJ
ajst-16295	5	13	vegetation	vegetation	NOUN
ajst-16295	5	14	model;t	model;t	NOUN
ajst-16295	5	15	/	/	SYM
ajst-16295	5	16	et	et	NOUN
ajst-16295	5	17	.	.	PROPN
ajst-16295	6	1	1	1	X
ajst-16295	6	2	.	.	X
ajst-16295	6	3	introduction	introduction	NOUN
ajst-16295	6	4	the	the	DET
ajst-16295	6	5	fresh	fresh	ADJ
ajst-16295	6	6	water	water	NOUN
ajst-16295	6	7	resources	resource	NOUN
ajst-16295	6	8	on	on	ADP
ajst-16295	6	9	the	the	DET
ajst-16295	6	10	surface	surface	NOUN
ajst-16295	6	11	of	of	ADP
ajst-16295	6	12	the	the	DET
ajst-16295	6	13	earth	earth	NOUN
ajst-16295	6	14	mainly	mainly	ADV
ajst-16295	6	15	come	come	VERB
ajst-16295	6	16	from	from	ADP
ajst-16295	6	17	atmospheric	atmospheric	ADJ
ajst-16295	6	18	precipitation	precipitation	NOUN
ajst-16295	6	19	,	,	PUNCT
ajst-16295	6	20	and	and	CCONJ
ajst-16295	6	21	60	60	NUM
ajst-16295	6	22	%	%	NOUN
ajst-16295	6	23	of	of	ADP
ajst-16295	6	24	the	the	DET
ajst-16295	6	25	falling	fall	VERB
ajst-16295	6	26	water	water	NOUN
ajst-16295	6	27	returns	return	NOUN
ajst-16295	6	28	to	to	ADP
ajst-16295	6	29	the	the	DET
ajst-16295	6	30	atmosphere	atmosphere	NOUN
ajst-16295	6	31	in	in	ADP
ajst-16295	6	32	the	the	DET
ajst-16295	6	33	form	form	NOUN
ajst-16295	6	34	of	of	ADP
ajst-16295	6	35	biogenic	biogenic	ADJ
ajst-16295	6	36	evapotranspiration	evapotranspiration	NOUN
ajst-16295	6	37	[	[	X
ajst-16295	6	38	1	1	NUM
ajst-16295	6	39	]	]	PUNCT
ajst-16295	6	40	.	.	PUNCT
ajst-16295	7	1	terrestrial	terrestrial	ADJ
ajst-16295	7	2	ecosystem	ecosystem	NOUN
ajst-16295	7	3	evapotranspiration	evapotranspiration	NOUN
ajst-16295	7	4	(	(	PUNCT
ajst-16295	7	5	et	et	NOUN
ajst-16295	7	6	)	)	PUNCT
ajst-16295	7	7	includes	include	VERB
ajst-16295	7	8	interception	interception	NOUN
ajst-16295	7	9	evaporation	evaporation	NOUN
ajst-16295	7	10	(	(	PUNCT
ajst-16295	7	11	ei	ei	NOUN
ajst-16295	7	12	)	)	PUNCT
ajst-16295	7	13	and	and	CCONJ
ajst-16295	7	14	soil	soil	NOUN
ajst-16295	7	15	evaporation	evaporation	NOUN
ajst-16295	7	16	(	(	PUNCT
ajst-16295	7	17	es	es	NOUN
ajst-16295	7	18	)	)	PUNCT
ajst-16295	7	19	and	and	CCONJ
ajst-16295	7	20	vegetation	vegetation	NOUN
ajst-16295	7	21	transpiration	transpiration	NOUN
ajst-16295	7	22	(	(	PUNCT
ajst-16295	7	23	t	t	PROPN
ajst-16295	7	24	)	)	PUNCT
ajst-16295	7	25	,	,	PUNCT
ajst-16295	7	26	in	in	ADP
ajst-16295	7	27	which	which	PRON
ajst-16295	7	28	vegetation	vegetation	NOUN
ajst-16295	7	29	transpiration	transpiration	NOUN
ajst-16295	7	30	is	be	AUX
ajst-16295	7	31	the	the	DET
ajst-16295	7	32	largest	large	ADJ
ajst-16295	7	33	component	component	NOUN
ajst-16295	7	34	of	of	ADP
ajst-16295	7	35	evapotranspiration	evapotranspiration	NOUN
ajst-16295	7	36	[	[	X
ajst-16295	7	37	2	2	NUM
ajst-16295	7	38	,	,	PUNCT
ajst-16295	7	39	3	3	NUM
ajst-16295	7	40	]	]	PUNCT
ajst-16295	7	41	,	,	PUNCT
ajst-16295	7	42	and	and	CCONJ
ajst-16295	7	43	its	its	PRON
ajst-16295	7	44	proportion	proportion	NOUN
ajst-16295	7	45	in	in	ADP
ajst-16295	7	46	evapotranspiration	evapotranspiration	NOUN
ajst-16295	7	47	(	(	PUNCT
ajst-16295	7	48	t	t	NOUN
ajst-16295	7	49	/	/	SYM
ajst-16295	7	50	et	et	NOUN
ajst-16295	7	51	)	)	PUNCT
ajst-16295	7	52	is	be	AUX
ajst-16295	7	53	about	about	ADV
ajst-16295	7	54	60	60	NUM
ajst-16295	7	55	%	%	NOUN
ajst-16295	7	56	on	on	ADP
ajst-16295	7	57	the	the	DET
ajst-16295	7	58	global	global	ADJ
ajst-16295	7	59	average	average	NOUN
ajst-16295	7	60	[	[	X
ajst-16295	7	61	4	4	NUM
ajst-16295	7	62	]	]	PUNCT
ajst-16295	7	63	.	.	PUNCT
ajst-16295	8	1	therefore	therefore	ADV
ajst-16295	8	2	,	,	PUNCT
ajst-16295	8	3	the	the	DET
ajst-16295	8	4	study	study	NOUN
ajst-16295	8	5	of	of	ADP
ajst-16295	8	6	t	t	PROPN
ajst-16295	8	7	/	/	SYM
ajst-16295	8	8	et	et	PROPN
ajst-16295	8	9	has	have	AUX
ajst-16295	8	10	received	receive	VERB
ajst-16295	8	11	extensive	extensive	ADJ
ajst-16295	8	12	attention	attention	NOUN
ajst-16295	8	13	in	in	ADP
ajst-16295	8	14	recent	recent	ADJ
ajst-16295	8	15	years	year	NOUN
ajst-16295	8	16	.	.	PUNCT
ajst-16295	9	1	many	many	ADJ
ajst-16295	9	2	studies	study	NOUN
ajst-16295	9	3	have	have	AUX
ajst-16295	9	4	reported	report	VERB
ajst-16295	9	5	t	t	PROPN
ajst-16295	9	6	/	/	SYM
ajst-16295	9	7	et	et	NOUN
ajst-16295	9	8	in	in	ADP
ajst-16295	9	9	different	different	ADJ
ajst-16295	9	10	ecosystem	ecosystem	NOUN
ajst-16295	9	11	types	type	NOUN
ajst-16295	9	12	around	around	ADP
ajst-16295	9	13	the	the	DET
ajst-16295	9	14	world	world	NOUN
ajst-16295	9	15	,	,	PUNCT
ajst-16295	9	16	but	but	CCONJ
ajst-16295	9	17	there	there	PRON
ajst-16295	9	18	are	be	VERB
ajst-16295	9	19	still	still	ADV
ajst-16295	9	20	few	few	ADJ
ajst-16295	9	21	studies	study	NOUN
ajst-16295	9	22	on	on	ADP
ajst-16295	9	23	t	t	PROPN
ajst-16295	9	24	/	/	SYM
ajst-16295	9	25	et	et	NOUN
ajst-16295	9	26	at	at	ADP
ajst-16295	9	27	regional	regional	ADJ
ajst-16295	9	28	scale	scale	NOUN
ajst-16295	9	29	in	in	ADP
ajst-16295	9	30	china	china	PROPN
ajst-16295	9	31	.	.	PUNCT
ajst-16295	10	1	the	the	DET
ajst-16295	10	2	yellow	yellow	PROPN
ajst-16295	10	3	river	river	PROPN
ajst-16295	10	4	basin	basin	NOUN
ajst-16295	10	5	in	in	ADP
ajst-16295	10	6	china	china	PROPN
ajst-16295	10	7	is	be	AUX
ajst-16295	10	8	characterized	characterize	VERB
ajst-16295	10	9	by	by	ADP
ajst-16295	10	10	complex	complex	ADJ
ajst-16295	10	11	topography	topography	NOUN
ajst-16295	10	12	and	and	CCONJ
ajst-16295	10	13	unique	unique	ADJ
ajst-16295	10	14	arid	arid	NOUN
ajst-16295	10	15	and	and	CCONJ
ajst-16295	10	16	semi	semi	ADJ
ajst-16295	10	17	-	-	ADJ
ajst-16295	10	18	arid	arid	ADJ
ajst-16295	10	19	climatic	climatic	ADJ
ajst-16295	10	20	conditions	condition	NOUN
ajst-16295	10	21	,	,	PUNCT
ajst-16295	10	22	and	and	CCONJ
ajst-16295	10	23	vegetation	vegetation	NOUN
ajst-16295	10	24	is	be	AUX
ajst-16295	10	25	sensitive	sensitive	ADJ
ajst-16295	10	26	to	to	ADP
ajst-16295	10	27	climate	climate	NOUN
ajst-16295	10	28	,	,	PUNCT
ajst-16295	10	29	which	which	PRON
ajst-16295	10	30	provides	provide	VERB
ajst-16295	10	31	a	a	DET
ajst-16295	10	32	natural	natural	ADJ
ajst-16295	10	33	experimental	experimental	ADJ
ajst-16295	10	34	field	field	NOUN
ajst-16295	10	35	for	for	ADP
ajst-16295	10	36	simulating	simulate	VERB
ajst-16295	10	37	and	and	CCONJ
ajst-16295	10	38	analyzing	analyze	VERB
ajst-16295	10	39	the	the	DET
ajst-16295	10	40	temporal	temporal	ADJ
ajst-16295	10	41	and	and	CCONJ
ajst-16295	10	42	spatial	spatial	ADJ
ajst-16295	10	43	distribution	distribution	NOUN
ajst-16295	10	44	of	of	ADP
ajst-16295	10	45	ecosystem	ecosystem	PROPN
ajst-16295	10	46	t	t	PROPN
ajst-16295	10	47	/	/	SYM
ajst-16295	10	48	et	et	PROPN
ajst-16295	10	49	and	and	CCONJ
ajst-16295	10	50	its	its	PRON
ajst-16295	10	51	driving	driving	NOUN
ajst-16295	10	52	mechanism	mechanism	NOUN
ajst-16295	10	53	.	.	PUNCT
ajst-16295	11	1	based	base	VERB
ajst-16295	11	2	on	on	ADP
ajst-16295	11	3	the	the	DET
ajst-16295	11	4	meteorological	meteorological	ADJ
ajst-16295	11	5	driving	drive	VERB
ajst-16295	11	6	data	datum	NOUN
ajst-16295	11	7	of	of	ADP
ajst-16295	11	8	gldas	gldas	ADJ
ajst-16295	11	9	land	land	PROPN
ajst-16295	11	10	surface	surface	NOUN
ajst-16295	11	11	model	model	NOUN
ajst-16295	11	12	,	,	PUNCT
ajst-16295	11	13	noah	noah	PROPN
ajst-16295	11	14	-	-	PUNCT
ajst-16295	11	15	mp	mp	PROPN
ajst-16295	11	16	model	model	NOUN
ajst-16295	11	17	was	be	AUX
ajst-16295	11	18	used	use	VERB
ajst-16295	11	19	to	to	PART
ajst-16295	11	20	simulate	simulate	VERB
ajst-16295	11	21	regional	regional	ADJ
ajst-16295	11	22	scale	scale	NOUN
ajst-16295	11	23	et	et	NOUN
ajst-16295	11	24	and	and	CCONJ
ajst-16295	11	25	its	its	PRON
ajst-16295	11	26	components	component	NOUN
ajst-16295	11	27	in	in	ADP
ajst-16295	11	28	the	the	DET
ajst-16295	11	29	yellow	yellow	PROPN
ajst-16295	11	30	river	river	PROPN
ajst-16295	11	31	basin	basin	NOUN
ajst-16295	11	32	ecosystem	ecosystem	NOUN
ajst-16295	11	33	in	in	ADP
ajst-16295	11	34	china	china	PROPN
ajst-16295	11	35	.	.	PUNCT
ajst-16295	12	1	moreover	moreover	ADV
ajst-16295	12	2	,	,	PUNCT
ajst-16295	12	3	the	the	DET
ajst-16295	12	4	accuracy	accuracy	NOUN
ajst-16295	12	5	of	of	ADP
ajst-16295	12	6	the	the	DET
ajst-16295	12	7	spatial	spatial	ADJ
ajst-16295	12	8	simulation	simulation	NOUN
ajst-16295	12	9	results	result	NOUN
ajst-16295	12	10	of	of	ADP
ajst-16295	12	11	et	et	PRON
ajst-16295	12	12	and	and	CCONJ
ajst-16295	12	13	t	t	PROPN
ajst-16295	12	14	was	be	AUX
ajst-16295	12	15	verified	verify	VERB
ajst-16295	12	16	by	by	ADP
ajst-16295	12	17	using	use	VERB
ajst-16295	12	18	the	the	DET
ajst-16295	12	19	observational	observational	ADJ
ajst-16295	12	20	data	datum	NOUN
ajst-16295	12	21	of	of	ADP
ajst-16295	12	22	et	et	PROPN
ajst-16295	12	23	and	and	CCONJ
ajst-16295	12	24	t	t	PROPN
ajst-16295	12	25	respectively	respectively	ADV
ajst-16295	12	26	,	,	PUNCT
ajst-16295	12	27	and	and	CCONJ
ajst-16295	12	28	then	then	ADV
ajst-16295	12	29	the	the	DET
ajst-16295	12	30	model	model	NOUN
ajst-16295	12	31	parameters	parameter	NOUN
ajst-16295	12	32	were	be	AUX
ajst-16295	12	33	adjusted	adjust	VERB
ajst-16295	12	34	to	to	PART
ajst-16295	12	35	improve	improve	VERB
ajst-16295	12	36	the	the	DET
ajst-16295	12	37	accuracy	accuracy	NOUN
ajst-16295	12	38	of	of	ADP
ajst-16295	12	39	the	the	DET
ajst-16295	12	40	simulation	simulation	NOUN
ajst-16295	12	41	of	of	ADP
ajst-16295	12	42	et	et	PROPN
ajst-16295	12	43	and	and	CCONJ
ajst-16295	12	44	t.	t.	PROPN
ajst-16295	12	45	finally	finally	ADV
ajst-16295	12	46	,	,	PUNCT
ajst-16295	12	47	the	the	DET
ajst-16295	12	48	spatio	spatio	NOUN
ajst-16295	12	49	-	-	PUNCT
ajst-16295	12	50	temporal	temporal	ADJ
ajst-16295	12	51	variation	variation	NOUN
ajst-16295	12	52	of	of	ADP
ajst-16295	12	53	ecosystem	ecosystem	PROPN
ajst-16295	12	54	t	t	PROPN
ajst-16295	12	55	/	/	SYM
ajst-16295	12	56	et	et	PROPN
ajst-16295	12	57	and	and	CCONJ
ajst-16295	12	58	its	its	PRON
ajst-16295	12	59	influencing	influence	VERB
ajst-16295	12	60	factors	factor	NOUN
ajst-16295	12	61	were	be	AUX
ajst-16295	12	62	analyzed	analyze	VERB
ajst-16295	12	63	,	,	PUNCT
ajst-16295	12	64	providing	provide	VERB
ajst-16295	12	65	support	support	NOUN
ajst-16295	12	66	for	for	ADP
ajst-16295	12	67	further	further	ADJ
ajst-16295	12	68	quantifying	quantify	VERB
ajst-16295	12	69	and	and	CCONJ
ajst-16295	12	70	understanding	understand	VERB
ajst-16295	12	71	the	the	DET
ajst-16295	12	72	spatio	spatio	PROPN
ajst-16295	12	73	-	-	PUNCT
ajst-16295	12	74	temporal	temporal	ADJ
ajst-16295	12	75	variation	variation	NOUN
ajst-16295	12	76	of	of	ADP
ajst-16295	12	77	ecosystem	ecosystem	NOUN
ajst-16295	12	78	transpiration	transpiration	NOUN
ajst-16295	12	79	water	water	NOUN
ajst-16295	12	80	use	use	NOUN
ajst-16295	12	81	efficiency	efficiency	NOUN
ajst-16295	12	82	in	in	ADP
ajst-16295	12	83	china	china	PROPN
ajst-16295	12	84	.	.	PUNCT
ajst-16295	13	1	2	2	X
ajst-16295	13	2	.	.	X
ajst-16295	13	3	data	datum	NOUN
ajst-16295	13	4	and	and	CCONJ
ajst-16295	13	5	methods	method	NOUN
ajst-16295	13	6	2.1	2.1	NUM
ajst-16295	13	7	.	.	PUNCT
ajst-16295	14	1	overview	overview	NOUN
ajst-16295	14	2	of	of	ADP
ajst-16295	14	3	the	the	DET
ajst-16295	14	4	study	study	NOUN
ajst-16295	14	5	area	area	NOUN
ajst-16295	14	6	as	as	ADP
ajst-16295	14	7	the	the	DET
ajst-16295	14	8	second	second	ADV
ajst-16295	14	9	largest	large	ADJ
ajst-16295	14	10	river	river	NOUN
ajst-16295	14	11	basin	basin	NOUN
ajst-16295	14	12	in	in	ADP
ajst-16295	14	13	china	china	PROPN
ajst-16295	14	14	,	,	PUNCT
ajst-16295	14	15	the	the	DET
ajst-16295	14	16	yellow	yellow	PROPN
ajst-16295	14	17	river	river	NOUN
ajst-16295	14	18	basin	basin	NOUN
ajst-16295	14	19	covers	cover	VERB
ajst-16295	14	20	an	an	DET
ajst-16295	14	21	area	area	NOUN
ajst-16295	14	22	of	of	ADP
ajst-16295	14	23	79.5×104km2	79.5×104km2	NUM
ajst-16295	14	24	and	and	CCONJ
ajst-16295	14	25	is	be	AUX
ajst-16295	14	26	located	locate	VERB
ajst-16295	14	27	between	between	ADP
ajst-16295	14	28	latitude	latitude	NOUN
ajst-16295	14	29	32.025	32.025	NUM
ajst-16295	14	30	°	°	NOUN
ajst-16295	14	31	~	~	PUNCT
ajst-16295	14	32	42.025	42.025	NUM
ajst-16295	14	33	°	°	NOUN
ajst-16295	14	34	n	n	NUM
ajst-16295	14	35	and	and	CCONJ
ajst-16295	14	36	longitude	longitude	VERB
ajst-16295	14	37	95.525	95.525	NUM
ajst-16295	14	38	°	°	NOUN
ajst-16295	14	39	~	~	PUNCT
ajst-16295	14	40	108.525	108.525	NUM
ajst-16295	14	41	°	°	NUM
ajst-16295	14	42	e.	e.	PROPN
ajst-16295	14	43	according	accord	VERB
ajst-16295	14	44	to	to	ADP
ajst-16295	14	45	the	the	DET
ajst-16295	14	46	land	land	NOUN
ajst-16295	14	47	use	use	VERB
ajst-16295	14	48	classification	classification	NOUN
ajst-16295	14	49	of	of	ADP
ajst-16295	14	50	modis	modis	PROPN
ajst-16295	14	51	satellite	satellite	PROPN
ajst-16295	14	52	data	datum	NOUN
ajst-16295	14	53	(	(	PUNCT
ajst-16295	14	54	extracted	extract	VERB
ajst-16295	14	55	from	from	ADP
ajst-16295	14	56	the	the	DET
ajst-16295	14	57	wrf	wrf	PROPN
ajst-16295	14	58	/	/	SYM
ajst-16295	14	59	wps	wps	PROPN
ajst-16295	14	60	3.8	3.8	NUM
ajst-16295	14	61	database	database	NOUN
ajst-16295	14	62	of	of	ADP
ajst-16295	14	63	the	the	DET
ajst-16295	14	64	united	united	PROPN
ajst-16295	14	65	states	states	PROPN
ajst-16295	14	66	mesoscale	mesoscale	PROPN
ajst-16295	14	67	weather	weather	PROPN
ajst-16295	14	68	forecast	forecast	NOUN
ajst-16295	14	69	model	model	PROPN
ajst-16295	14	70	,	,	PUNCT
ajst-16295	14	71	using	use	VERB
ajst-16295	14	72	igbp	igbp	ADJ
ajst-16295	14	73	classification	classification	NOUN
ajst-16295	14	74	code	code	NOUN
ajst-16295	14	75	)	)	PUNCT
ajst-16295	14	76	in	in	ADP
ajst-16295	14	77	this	this	DET
ajst-16295	14	78	study	study	NOUN
ajst-16295	14	79	,	,	PUNCT
ajst-16295	14	80	various	various	ADJ
ajst-16295	14	81	vegetation	vegetation	NOUN
ajst-16295	14	82	types	type	NOUN
ajst-16295	14	83	are	be	AUX
ajst-16295	14	84	mainly	mainly	ADV
ajst-16295	14	85	classified	classify	VERB
ajst-16295	14	86	as	as	ADP
ajst-16295	14	87	deciduous	deciduous	ADJ
ajst-16295	14	88	broadleaf	broadleaf	NOUN
ajst-16295	14	89	forest	forest	NOUN
ajst-16295	14	90	,	,	PUNCT
ajst-16295	14	91	mixed	mixed	ADJ
ajst-16295	14	92	forest	forest	NOUN
ajst-16295	14	93	,	,	PUNCT
ajst-16295	14	94	shrub	shrub	NOUN
ajst-16295	14	95	,	,	PUNCT
ajst-16295	14	96	grassland	grassland	NOUN
ajst-16295	14	97	and	and	CCONJ
ajst-16295	14	98	farmland	farmland	NOUN
ajst-16295	14	99	.	.	PUNCT
ajst-16295	15	1	2.2	2.2	NUM
ajst-16295	15	2	.	.	PUNCT
ajst-16295	16	1	noa	noa	PROPN
ajst-16295	16	2	-	-	PUNCT
ajst-16295	16	3	mp	mp	PROPN
ajst-16295	16	4	model	model	NOUN
ajst-16295	16	5	introduction	introduction	NOUN
ajst-16295	16	6	the	the	DET
ajst-16295	16	7	noah	noah	PROPN
ajst-16295	16	8	-	-	PUNCT
ajst-16295	16	9	mp	mp	PROPN
ajst-16295	16	10	model	model	NOUN
ajst-16295	16	11	details	detail	NOUN
ajst-16295	16	12	the	the	DET
ajst-16295	16	13	process	process	NOUN
ajst-16295	16	14	of	of	ADP
ajst-16295	16	15	carbon	carbon	NOUN
ajst-16295	16	16	,	,	PUNCT
ajst-16295	16	17	water	water	NOUN
ajst-16295	16	18	and	and	CCONJ
ajst-16295	16	19	heat	heat	NOUN
ajst-16295	16	20	exchange	exchange	NOUN
ajst-16295	16	21	between	between	ADP
ajst-16295	16	22	vegetation	vegetation	NOUN
ajst-16295	16	23	,	,	PUNCT
ajst-16295	16	24	soil	soil	NOUN
ajst-16295	16	25	,	,	PUNCT
ajst-16295	16	26	snow	snow	NOUN
ajst-16295	16	27	cover	cover	NOUN
ajst-16295	16	28	,	,	PUNCT
ajst-16295	16	29	and	and	CCONJ
ajst-16295	16	30	the	the	DET
ajst-16295	16	31	atmosphere	atmosphere	NOUN
ajst-16295	16	32	,	,	PUNCT
ajst-16295	16	33	and	and	CCONJ
ajst-16295	16	34	provides	provide	VERB
ajst-16295	16	35	multiple	multiple	ADJ
ajst-16295	16	36	parameterization	parameterization	NOUN
ajst-16295	16	37	options	option	NOUN
ajst-16295	16	38	for	for	ADP
ajst-16295	16	39	key	key	ADJ
ajst-16295	16	40	biogeophysical	biogeophysical	ADJ
ajst-16295	16	41	processes	process	NOUN
ajst-16295	16	42	.	.	PUNCT
ajst-16295	17	1	researchers	researcher	NOUN
ajst-16295	17	2	can	can	AUX
ajst-16295	17	3	choose	choose	VERB
ajst-16295	17	4	one	one	NUM
ajst-16295	17	5	of	of	ADP
ajst-16295	17	6	the	the	DET
ajst-16295	17	7	parameterized	parameterized	ADJ
ajst-16295	17	8	options	option	NOUN
ajst-16295	17	9	of	of	ADP
ajst-16295	17	10	each	each	DET
ajst-16295	17	11	subprocess	subprocess	NOUN
ajst-16295	17	12	according	accord	VERB
ajst-16295	17	13	to	to	ADP
ajst-16295	17	14	their	their	PRON
ajst-16295	17	15	needs	need	NOUN
ajst-16295	17	16	,	,	PUNCT
ajst-16295	17	17	and	and	CCONJ
ajst-16295	17	18	"	"	PUNCT
ajst-16295	17	19	combine	combine	NOUN
ajst-16295	17	20	"	"	PUNCT
ajst-16295	17	21	it	it	PRON
ajst-16295	17	22	into	into	ADP
ajst-16295	17	23	a	a	DET
ajst-16295	17	24	model	model	NOUN
ajst-16295	17	25	to	to	PART
ajst-16295	17	26	carry	carry	VERB
ajst-16295	17	27	out	out	ADP
ajst-16295	17	28	simulation	simulation	NOUN
ajst-16295	17	29	research	research	NOUN
ajst-16295	17	30	.	.	PUNCT
ajst-16295	18	1	this	this	DET
ajst-16295	18	2	paper	paper	NOUN
ajst-16295	18	3	only	only	ADV
ajst-16295	18	4	focuses	focus	VERB
ajst-16295	18	5	on	on	ADP
ajst-16295	18	6	the	the	DET
ajst-16295	18	7	dynamic	dynamic	ADJ
ajst-16295	18	8	vegetation	vegetation	NOUN
ajst-16295	18	9	simulation	simulation	NOUN
ajst-16295	18	10	problem	problem	NOUN
ajst-16295	18	11	in	in	ADP
ajst-16295	18	12	noah	noah	PROPN
ajst-16295	18	13	-	-	PUNCT
ajst-16295	18	14	mp	mp	PROPN
ajst-16295	18	15	,	,	PUNCT
ajst-16295	18	16	and	and	CCONJ
ajst-16295	18	17	only	only	ADV
ajst-16295	18	18	studies	study	NOUN
ajst-16295	18	19	option	option	NOUN
ajst-16295	18	20	2	2	X
ajst-16295	18	21	.	.	PUNCT
ajst-16295	19	1	it	it	PRON
ajst-16295	19	2	should	should	AUX
ajst-16295	19	3	be	be	AUX
ajst-16295	19	4	noted	note	VERB
ajst-16295	19	5	that	that	SCONJ
ajst-16295	19	6	the	the	DET
ajst-16295	19	7	dynamic	dynamic	ADJ
ajst-16295	19	8	vegetation	vegetation	NOUN
ajst-16295	19	9	module	module	NOUN
ajst-16295	19	10	needs	need	VERB
ajst-16295	19	11	to	to	PART
ajst-16295	19	12	set	set	VERB
ajst-16295	19	13	the	the	DET
ajst-16295	19	14	parameterization	parameterization	NOUN
ajst-16295	19	15	option	option	NOUN
ajst-16295	19	16	of	of	ADP
ajst-16295	19	17	stomatal	stomatal	ADJ
ajst-16295	19	18	resistance	resistance	NOUN
ajst-16295	19	19	to	to	ADP
ajst-16295	19	20	the	the	DET
ajst-16295	19	21	first	first	ADJ
ajst-16295	19	22	option	option	NOUN
ajst-16295	19	23	,	,	PUNCT
ajst-16295	19	24	namely	namely	ADV
ajst-16295	19	25	the	the	DET
ajst-16295	19	26	ball	ball	NOUN
ajst-16295	19	27	-	-	PUNCT
ajst-16295	19	28	berry	berry	NOUN
ajst-16295	19	29	option	option	NOUN
ajst-16295	19	30	module	module	NOUN
ajst-16295	19	31	.	.	PUNCT
ajst-16295	20	1	the	the	DET
ajst-16295	20	2	other	other	ADJ
ajst-16295	20	3	parameterization	parameterization	NOUN
ajst-16295	20	4	options	option	NOUN
ajst-16295	20	5	covered	cover	VERB
ajst-16295	20	6	in	in	ADP
ajst-16295	20	7	this	this	DET
ajst-16295	20	8	study	study	NOUN
ajst-16295	20	9	are	be	AUX
ajst-16295	20	10	set	set	VERB
ajst-16295	20	11	to	to	PART
ajst-16295	20	12	default	default	NOUN
ajst-16295	20	13	.	.	PUNCT
ajst-16295	21	1	2.3	2.3	NUM
ajst-16295	21	2	.	.	PUNCT
ajst-16295	22	1	research	research	NOUN
ajst-16295	22	2	data	datum	NOUN
ajst-16295	22	3	2.3.1	2.3.1	NUM
ajst-16295	22	4	.	.	PUNCT
ajst-16295	22	5	land	land	NOUN
ajst-16295	22	6	surface	surface	NOUN
ajst-16295	22	7	driving	driving	NOUN
ajst-16295	22	8	data	datum	NOUN
ajst-16295	22	9	the	the	DET
ajst-16295	22	10	land	land	NOUN
ajst-16295	22	11	surface	surface	NOUN
ajst-16295	22	12	model	model	NOUN
ajst-16295	22	13	weather	weather	PROPN
ajst-16295	22	14	driver	driver	NOUN
ajst-16295	22	15	data	datum	NOUN
ajst-16295	22	16	used	use	VERB
ajst-16295	22	17	in	in	ADP
ajst-16295	22	18	this	this	DET
ajst-16295	22	19	study	study	NOUN
ajst-16295	22	20	are	be	AUX
ajst-16295	22	21	derived	derive	VERB
ajst-16295	22	22	from	from	ADP
ajst-16295	22	23	the	the	DET
ajst-16295	22	24	global	global	ADJ
ajst-16295	22	25	land	land	NOUN
ajst-16295	22	26	data	datum	NOUN
ajst-16295	22	27	assimilation	assimilation	NOUN
ajst-16295	22	28	system	system	NOUN
ajst-16295	22	29	(	(	PUNCT
ajst-16295	22	30	gldas	gldas	PROPN
ajst-16295	22	31	)	)	PUNCT
ajst-16295	22	32	dataset	dataset	NOUN
ajst-16295	22	33	developed	develop	VERB
ajst-16295	22	34	by	by	ADP
ajst-16295	22	35	nasa	nasa	PROPN
ajst-16295	22	36	,	,	PUNCT
ajst-16295	22	37	which	which	PRON
ajst-16295	22	38	combines	combine	VERB
ajst-16295	22	39	the	the	DET
ajst-16295	22	40	princeton	princeton	PROPN
ajst-16295	22	41	weather	weather	PROPN
ajst-16295	22	42	driver	driver	PROPN
ajst-16295	22	43	data	data	PROPN
ajst-16295	22	44	,	,	PUNCT
ajst-16295	22	45	model	model	NOUN
ajst-16295	22	46	simulation	simulation	NOUN
ajst-16295	22	47	and	and	CCONJ
ajst-16295	22	48	observation	observation	NOUN
ajst-16295	22	49	data	datum	NOUN
ajst-16295	22	50	.	.	PUNCT
ajst-16295	23	1	the	the	DET
ajst-16295	23	2	initial	initial	ADJ
ajst-16295	23	3	field	field	NOUN
ajst-16295	23	4	data	datum	NOUN
ajst-16295	23	5	is	be	AUX
ajst-16295	23	6	generated	generate	VERB
ajst-16295	23	7	by	by	ADP
ajst-16295	23	8	integrating	integrate	VERB
ajst-16295	23	9	satellite	satellite	NOUN
ajst-16295	23	10	data	datum	NOUN
ajst-16295	23	11	,	,	PUNCT
ajst-16295	23	12	surface	surface	NOUN
ajst-16295	23	13	observation	observation	NOUN
ajst-16295	23	14	data	datum	NOUN
ajst-16295	23	15	and	and	CCONJ
ajst-16295	23	16	land	land	NOUN
ajst-16295	23	17	surface	surface	NOUN
ajst-16295	23	18	model	model	NOUN
ajst-16295	23	19	simulation	simulation	PROPN
ajst-16295	23	20	data	data	PROPN
ajst-16295	23	21	.	.	PUNCT
ajst-16295	24	1	the	the	DET
ajst-16295	24	2	data	datum	NOUN
ajst-16295	24	3	set	set	VERB
ajst-16295	24	4	includes	include	VERB
ajst-16295	24	5	2	2	NUM
ajst-16295	24	6	m	m	NOUN
ajst-16295	24	7	air	air	NOUN
ajst-16295	24	8	temperature	temperature	NOUN
ajst-16295	24	9	,	,	PUNCT
ajst-16295	24	10	2	2	NUM
ajst-16295	24	11	m	m	NOUN
ajst-16295	24	12	air	air	NOUN
ajst-16295	24	13	specific	specific	ADJ
ajst-16295	24	14	humidity	humidity	NOUN
ajst-16295	24	15	,	,	PUNCT
ajst-16295	24	16	10	10	NUM
ajst-16295	24	17	m	m	NOUN
ajst-16295	24	18	wind	wind	NOUN
ajst-16295	24	19	speed	speed	NOUN
ajst-16295	24	20	,	,	PUNCT
ajst-16295	24	21	barometric	barometric	ADJ
ajst-16295	24	22	pressure	pressure	NOUN
ajst-16295	24	23	,	,	PUNCT
ajst-16295	24	24	short	short	ADJ
ajst-16295	24	25	-	-	PUNCT
ajst-16295	24	26	wave	wave	NOUN
ajst-16295	24	27	downward	downward	ADJ
ajst-16295	24	28	radiation	radiation	NOUN
ajst-16295	24	29	,	,	PUNCT
ajst-16295	24	30	longwave	longwave	VERB
ajst-16295	24	31	downward	downward	ADJ
ajst-16295	24	32	radiation	radiation	NOUN
ajst-16295	24	33	and	and	CCONJ
ajst-16295	24	34	precipitation	precipitation	NOUN
ajst-16295	24	35	rate	rate	NOUN
ajst-16295	24	36	required	require	VERB
ajst-16295	24	37	by	by	ADP
ajst-16295	24	38	noah	noah	PROPN
ajst-16295	24	39	-	-	PUNCT
ajst-16295	24	40	mp	mp	PROPN
ajst-16295	24	41	model	model	NOUN
ajst-16295	24	42	.	.	PUNCT
ajst-16295	25	1	the	the	DET
ajst-16295	25	2	temporal	temporal	ADJ
ajst-16295	25	3	resolution	resolution	NOUN
ajst-16295	25	4	is	be	AUX
ajst-16295	25	5	3h	3h	NUM
ajst-16295	25	6	,	,	PUNCT
ajst-16295	25	7	the	the	DET
ajst-16295	25	8	spatial	spatial	ADJ
ajst-16295	25	9	resolution	resolution	NOUN
ajst-16295	25	10	is	be	AUX
ajst-16295	25	11	0.25	0.25	NUM
ajst-16295	25	12	°	°	NOUN
ajst-16295	25	13	,	,	PUNCT
ajst-16295	25	14	and	and	CCONJ
ajst-16295	25	15	the	the	DET
ajst-16295	25	16	resampler	resampler	NOUN
ajst-16295	25	17	is	be	AUX
ajst-16295	25	18	0.05	0.05	NUM
ajst-16295	25	19	°	°	NOUN
ajst-16295	25	20	by	by	ADP
ajst-16295	25	21	bilinear	bilinear	PROPN
ajst-16295	25	22	internal	internal	ADJ
ajst-16295	25	23	interpolation	interpolation	NOUN
ajst-16295	25	24	method	method	NOUN
ajst-16295	25	25	in	in	ADP
ajst-16295	25	26	this	this	DET
ajst-16295	25	27	study	study	NOUN
ajst-16295	25	28	.	.	PUNCT
ajst-16295	26	1	2.3.2	2.3.2	X
ajst-16295	26	2	.	.	PUNCT
ajst-16295	26	3	observed	observe	VERB
ajst-16295	26	4	data	datum	NOUN
ajst-16295	26	5	the	the	DET
ajst-16295	26	6	evapotranspiration	evapotranspiration	NOUN
ajst-16295	26	7	product	product	NOUN
ajst-16295	26	8	(	(	PUNCT
ajst-16295	26	9	et	et	NOUN
ajst-16295	26	10	)	)	PUNCT
ajst-16295	26	11	and	and	CCONJ
ajst-16295	26	12	transpiration	transpiration	NOUN
ajst-16295	26	13	product	product	NOUN
ajst-16295	26	14	(	(	PUNCT
ajst-16295	26	15	t	t	NOUN
ajst-16295	26	16	)	)	PUNCT
ajst-16295	26	17	used	use	VERB
ajst-16295	26	18	in	in	ADP
ajst-16295	26	19	this	this	DET
ajst-16295	26	20	paper	paper	NOUN
ajst-16295	26	21	are	be	AUX
ajst-16295	26	22	the	the	DET
ajst-16295	26	23	transpiration	transpiration	NOUN
ajst-16295	26	24	and	and	CCONJ
ajst-16295	26	25	evapotranspiration	evapotranspiration	NOUN
ajst-16295	26	26	data	datum	NOUN
ajst-16295	26	27	simulated	simulate	VERB
ajst-16295	26	28	by	by	ADP
ajst-16295	26	29	dr	dr	PROPN
ajst-16295	26	30	.	.	PROPN
ajst-16295	26	31	niu	niu	PROPN
ajst-16295	26	32	zhongen	zhongen	PROPN
ajst-16295	26	33	,	,	PUNCT
ajst-16295	26	34	researcher	researcher	NOUN
ajst-16295	27	1	he	he	PRON
ajst-16295	27	2	honglin	honglin	PROPN
ajst-16295	27	3	et	et	PROPN
ajst-16295	27	4	al	al	PROPN
ajst-16295	27	5	.	.	PROPN
ajst-16295	27	6	,	,	PUNCT
ajst-16295	27	7	using	use	VERB
ajst-16295	27	8	the	the	DET
ajst-16295	27	9	pt	pt	PROPN
ajst-16295	27	10	-	-	PUNCT
ajst-16295	27	11	jpl	jpl	PROPN
ajst-16295	27	12	model	model	NOUN
ajst-16295	27	13	driven	drive	VERB
ajst-16295	27	14	by	by	ADP
ajst-16295	27	15	optimized	optimize	VERB
ajst-16295	27	16	parameters	parameter	NOUN
ajst-16295	27	17	,	,	PUNCT
ajst-16295	27	18	providing	provide	VERB
ajst-16295	27	19	two	two	NUM
ajst-16295	27	20	temporal	temporal	ADJ
ajst-16295	27	21	resolutions	resolution	NOUN
ajst-16295	27	22	(	(	PUNCT
ajst-16295	27	23	8	8	NUM
ajst-16295	27	24	days	day	NOUN
ajst-16295	27	25	and	and	CCONJ
ajst-16295	27	26	years	year	NOUN
ajst-16295	27	27	)	)	PUNCT
ajst-16295	27	28	,	,	PUNCT
ajst-16295	27	29	with	with	ADP
ajst-16295	27	30	a	a	DET
ajst-16295	27	31	spatial	spatial	ADJ
ajst-16295	27	32	resolution	resolution	NOUN
ajst-16295	27	33	of	of	ADP
ajst-16295	27	34	0.05	0.05	NUM
ajst-16295	27	35	°	°	NOUN
ajst-16295	27	36	×	×	NOUN
ajst-16295	27	37	0.05	0.05	NUM
ajst-16295	27	38	°	°	NOUN
ajst-16295	27	39	.	.	PUNCT
ajst-16295	27	40	67	67	NUM
ajst-16295	27	41	2.4	2.4	NUM
ajst-16295	27	42	.	.	PUNCT
ajst-16295	28	1	noah	noah	PROPN
ajst-16295	28	2	-	-	PUNCT
ajst-16295	28	3	mp	mp	PROPN
ajst-16295	28	4	land	land	NOUN
ajst-16295	28	5	surface	surface	NOUN
ajst-16295	28	6	model	model	PROPN
ajst-16295	28	7	numerical	numerical	PROPN
ajst-16295	28	8	simulation	simulation	PROPN
ajst-16295	28	9	experiment	experiment	NOUN
ajst-16295	28	10	in	in	ADP
ajst-16295	28	11	this	this	DET
ajst-16295	28	12	paper	paper	NOUN
ajst-16295	28	13	,	,	PUNCT
ajst-16295	28	14	we	we	PRON
ajst-16295	28	15	completed	complete	VERB
ajst-16295	28	16	a	a	DET
ajst-16295	28	17	complete	complete	ADJ
ajst-16295	28	18	long	long	ADJ
ajst-16295	28	19	-	-	PUNCT
ajst-16295	28	20	term	term	NOUN
ajst-16295	28	21	simulation	simulation	NOUN
ajst-16295	28	22	for	for	ADP
ajst-16295	28	23	1980	1980	NUM
ajst-16295	28	24	-	-	SYM
ajst-16295	28	25	2016	2016	NUM
ajst-16295	28	26	using	use	VERB
ajst-16295	28	27	optimized	optimize	VERB
ajst-16295	28	28	parameters	parameter	NOUN
ajst-16295	28	29	.	.	PUNCT
ajst-16295	29	1	the	the	DET
ajst-16295	29	2	simulation	simulation	NOUN
ajst-16295	29	3	results	result	VERB
ajst-16295	29	4	from	from	ADP
ajst-16295	29	5	1982	1982	NUM
ajst-16295	29	6	to	to	ADP
ajst-16295	29	7	2016	2016	NUM
ajst-16295	29	8	were	be	AUX
ajst-16295	29	9	compared	compare	VERB
ajst-16295	29	10	with	with	ADP
ajst-16295	29	11	the	the	DET
ajst-16295	29	12	measured	measured	ADJ
ajst-16295	29	13	t	t	PROPN
ajst-16295	29	14	/	/	SYM
ajst-16295	29	15	et	et	NOUN
ajst-16295	29	16	to	to	PART
ajst-16295	29	17	test	test	VERB
ajst-16295	29	18	the	the	DET
ajst-16295	29	19	actual	actual	ADJ
ajst-16295	29	20	effect	effect	NOUN
ajst-16295	29	21	of	of	ADP
ajst-16295	29	22	parameter	parameter	NOUN
ajst-16295	29	23	optimization	optimization	NOUN
ajst-16295	29	24	three	three	NUM
ajst-16295	29	25	parameters	parameter	NOUN
ajst-16295	29	26	were	be	AUX
ajst-16295	29	27	used	use	VERB
ajst-16295	29	28	to	to	PART
ajst-16295	29	29	evaluate	evaluate	VERB
ajst-16295	29	30	the	the	DET
ajst-16295	29	31	performance	performance	NOUN
ajst-16295	29	32	of	of	ADP
ajst-16295	29	33	the	the	DET
ajst-16295	29	34	modified	modified	ADJ
ajst-16295	29	35	model	model	NOUN
ajst-16295	29	36	:	:	PUNCT
ajst-16295	29	37	root	root	NOUN
ajst-16295	29	38	mean	mean	NOUN
ajst-16295	29	39	square	square	ADJ
ajst-16295	29	40	error	error	NOUN
ajst-16295	29	41	(	(	PUNCT
ajst-16295	29	42	rmse	rmse	NOUN
ajst-16295	29	43	)	)	PUNCT
ajst-16295	29	44	,	,	PUNCT
ajst-16295	30	1	nashsutcliffe	nashsutcliffe	NOUN
ajst-16295	30	2	efficiency	efficiency	NOUN
ajst-16295	30	3	(	(	PUNCT
ajst-16295	30	4	nse	nse	NOUN
ajst-16295	30	5	)	)	PUNCT
ajst-16295	30	6	coefficient	coefficient	NOUN
ajst-16295	30	7	,	,	PUNCT
ajst-16295	30	8	and	and	CCONJ
ajst-16295	30	9	pearson	pearson	PROPN
ajst-16295	30	10	correlation	correlation	NOUN
ajst-16295	30	11	coefficient	coefficient	PROPN
ajst-16295	30	12	r.	r.	VERB
ajst-16295	30	13	these	these	DET
ajst-16295	30	14	three	three	NUM
ajst-16295	30	15	indicators	indicator	NOUN
ajst-16295	30	16	are	be	AUX
ajst-16295	30	17	defined	define	VERB
ajst-16295	30	18	as	as	ADP
ajst-16295	30	19	𝑅𝑀𝑆𝐸	𝑅𝑀𝑆𝐸	NOUN
ajst-16295	30	20	∑	∑	ADP
ajst-16295	30	21	𝑀	𝑀	PROPN
ajst-16295	30	22	𝑂	𝑂	NOUN
ajst-16295	30	23	𝑁	𝑁	PROPN
ajst-16295	30	24	1	1	NUM
ajst-16295	30	25	𝑁𝑆𝐸	𝑁𝑆𝐸	PROPN
ajst-16295	30	26	1	1	NUM
ajst-16295	30	27	∑	∑	PROPN
ajst-16295	30	28	𝑀	𝑀	PROPN
ajst-16295	30	29	𝑂	𝑂	NOUN
ajst-16295	30	30	∑	∑	PUNCT
ajst-16295	30	31	𝑂	𝑂	PROPN
ajst-16295	30	32	𝑂	𝑂	PROPN
ajst-16295	30	33	2	2	NUM
ajst-16295	30	34	𝑅	𝑅	PROPN
ajst-16295	30	35	∑	∑	PROPN
ajst-16295	30	36	𝑀	𝑀	PROPN
ajst-16295	30	37	𝑀	𝑀	NOUN
ajst-16295	30	38	𝑂	𝑂	VERB
ajst-16295	30	39	𝑂	𝑂	PROPN
ajst-16295	30	40	∑	∑	PUNCT
ajst-16295	30	41	𝑀	𝑀	PROPN
ajst-16295	30	42	𝑀	𝑀	PROPN
ajst-16295	30	43	∑	∑	ADP
ajst-16295	30	44	𝑂	𝑂	PROPN
ajst-16295	30	45	𝑂	𝑂	PROPN
ajst-16295	30	46	3	3	NUM
ajst-16295	30	47	3	3	NUM
ajst-16295	30	48	.	.	PUNCT
ajst-16295	30	49	result	result	VERB
ajst-16295	30	50	3.1	3.1	NUM
ajst-16295	30	51	.	.	PUNCT
ajst-16295	30	52	optimization	optimization	NOUN
ajst-16295	30	53	and	and	CCONJ
ajst-16295	30	54	verification	verification	NOUN
ajst-16295	30	55	of	of	ADP
ajst-16295	30	56	model	model	NOUN
ajst-16295	30	57	parameters	parameter	NOUN
ajst-16295	30	58	the	the	DET
ajst-16295	30	59	accuracy	accuracy	NOUN
ajst-16295	30	60	of	of	ADP
ajst-16295	30	61	t	t	PROPN
ajst-16295	30	62	/	/	SYM
ajst-16295	30	63	et	et	PROPN
ajst-16295	30	64	simulation	simulation	NOUN
ajst-16295	30	65	depends	depend	VERB
ajst-16295	30	66	on	on	ADP
ajst-16295	30	67	the	the	DET
ajst-16295	30	68	estimation	estimation	NOUN
ajst-16295	30	69	accuracy	accuracy	NOUN
ajst-16295	30	70	of	of	ADP
ajst-16295	30	71	transpiration	transpiration	NOUN
ajst-16295	30	72	and	and	CCONJ
ajst-16295	30	73	evapotranspiration	evapotranspiration	NOUN
ajst-16295	30	74	.	.	PUNCT
ajst-16295	31	1	this	this	DET
ajst-16295	31	2	paper	paper	NOUN
ajst-16295	31	3	uses	use	VERB
ajst-16295	31	4	et	et	PROPN
ajst-16295	31	5	and	and	CCONJ
ajst-16295	31	6	t	t	PROPN
ajst-16295	31	7	remote	remote	ADJ
ajst-16295	31	8	sensing	sense	VERB
ajst-16295	31	9	data	datum	NOUN
ajst-16295	31	10	to	to	PART
ajst-16295	31	11	verify	verify	VERB
ajst-16295	31	12	the	the	DET
ajst-16295	31	13	accuracy	accuracy	NOUN
ajst-16295	31	14	of	of	ADP
ajst-16295	31	15	et	et	PROPN
ajst-16295	31	16	and	and	CCONJ
ajst-16295	31	17	t	t	PROPN
ajst-16295	31	18	data	datum	NOUN
ajst-16295	31	19	simulated	simulate	VERB
ajst-16295	31	20	before	before	ADV
ajst-16295	31	21	and	and	CCONJ
ajst-16295	31	22	after	after	ADP
ajst-16295	31	23	noah	noah	PROPN
ajst-16295	31	24	-	-	PUNCT
ajst-16295	31	25	mp	mp	PROPN
ajst-16295	31	26	model	model	NOUN
ajst-16295	31	27	parameter	parameter	PROPN
ajst-16295	31	28	optimization	optimization	NOUN
ajst-16295	31	29	.	.	PUNCT
ajst-16295	32	1	under	under	ADP
ajst-16295	32	2	default	default	NOUN
ajst-16295	32	3	parameters	parameter	NOUN
ajst-16295	32	4	,	,	PUNCT
ajst-16295	32	5	the	the	DET
ajst-16295	32	6	nse	nse	NOUN
ajst-16295	32	7	value	value	NOUN
ajst-16295	32	8	of	of	ADP
ajst-16295	32	9	et	et	NOUN
ajst-16295	32	10	simulated	simulate	VERB
ajst-16295	32	11	by	by	ADP
ajst-16295	32	12	dynamic	dynamic	ADJ
ajst-16295	32	13	vegetation	vegetation	NOUN
ajst-16295	32	14	module	module	NOUN
ajst-16295	32	15	in	in	ADP
ajst-16295	32	16	the	the	DET
ajst-16295	32	17	yellow	yellow	PROPN
ajst-16295	32	18	river	river	NOUN
ajst-16295	32	19	basin	basin	NOUN
ajst-16295	32	20	was	be	AUX
ajst-16295	32	21	greater	great	ADJ
ajst-16295	32	22	than	than	ADP
ajst-16295	32	23	0	0	NUM
ajst-16295	32	24	in	in	ADP
ajst-16295	32	25	87.94	87.94	NUM
ajst-16295	32	26	%	%	NOUN
ajst-16295	32	27	of	of	ADP
ajst-16295	32	28	the	the	DET
ajst-16295	32	29	regions	region	NOUN
ajst-16295	32	30	,	,	PUNCT
ajst-16295	32	31	and	and	CCONJ
ajst-16295	32	32	the	the	DET
ajst-16295	32	33	nse(median	nse(median	PROPN
ajst-16295	32	34	)	)	PUNCT
ajst-16295	32	35	increased	increase	VERB
ajst-16295	32	36	from	from	ADP
ajst-16295	32	37	0.367	0.367	NUM
ajst-16295	32	38	to	to	ADP
ajst-16295	32	39	0.451	0.451	NUM
ajst-16295	32	40	in	in	ADP
ajst-16295	32	41	96.5	96.5	NUM
ajst-16295	32	42	%	%	NOUN
ajst-16295	32	43	of	of	ADP
ajst-16295	32	44	the	the	DET
ajst-16295	32	45	regions	region	NOUN
ajst-16295	32	46	of	of	ADP
ajst-16295	32	47	the	the	DET
ajst-16295	32	48	yellow	yellow	PROPN
ajst-16295	32	49	river	river	NOUN
ajst-16295	32	50	basin	basin	NOUN
ajst-16295	32	51	under	under	ADP
ajst-16295	32	52	optimal	optimal	ADJ
ajst-16295	32	53	parameters	parameter	NOUN
ajst-16295	32	54	.	.	PUNCT
ajst-16295	33	1	the	the	DET
ajst-16295	33	2	nse	nse	NOUN
ajst-16295	33	3	value	value	NOUN
ajst-16295	33	4	of	of	ADP
ajst-16295	33	5	t	t	PROPN
ajst-16295	33	6	simulated	simulate	VERB
ajst-16295	33	7	by	by	ADP
ajst-16295	33	8	dynamic	dynamic	ADJ
ajst-16295	33	9	vegetation	vegetation	NOUN
ajst-16295	33	10	module	module	NOUN
ajst-16295	33	11	is	be	AUX
ajst-16295	33	12	less	less	ADJ
ajst-16295	33	13	than	than	ADP
ajst-16295	33	14	0	0	NUM
ajst-16295	33	15	in	in	ADP
ajst-16295	33	16	the	the	DET
ajst-16295	33	17	whole	whole	ADJ
ajst-16295	33	18	yellow	yellow	PROPN
ajst-16295	33	19	river	river	NOUN
ajst-16295	33	20	basin	basin	NOUN
ajst-16295	33	21	under	under	ADP
ajst-16295	33	22	the	the	DET
ajst-16295	33	23	default	default	NOUN
ajst-16295	33	24	parameters	parameter	NOUN
ajst-16295	33	25	.	.	PUNCT
ajst-16295	34	1	under	under	ADP
ajst-16295	34	2	the	the	DET
ajst-16295	34	3	optimal	optimal	ADJ
ajst-16295	34	4	parameters	parameter	NOUN
ajst-16295	34	5	,	,	PUNCT
ajst-16295	34	6	the	the	DET
ajst-16295	34	7	nse	nse	NOUN
ajst-16295	34	8	was	be	AUX
ajst-16295	34	9	increased	increase	VERB
ajst-16295	34	10	in	in	ADP
ajst-16295	34	11	99.8	99.8	NUM
ajst-16295	34	12	%	%	NOUN
ajst-16295	34	13	of	of	ADP
ajst-16295	34	14	the	the	DET
ajst-16295	34	15	yellow	yellow	PROPN
ajst-16295	34	16	river	river	NOUN
ajst-16295	34	17	basin	basin	NOUN
ajst-16295	34	18	,	,	PUNCT
ajst-16295	34	19	and	and	CCONJ
ajst-16295	34	20	the	the	DET
ajst-16295	34	21	nse(median	nse(median	PROPN
ajst-16295	34	22	)	)	PUNCT
ajst-16295	34	23	was	be	AUX
ajst-16295	34	24	increased	increase	VERB
ajst-16295	34	25	from	from	ADP
ajst-16295	34	26	-0.416	-0.416	PROPN
ajst-16295	34	27	to	to	ADP
ajst-16295	34	28	0.124	0.124	NUM
ajst-16295	34	29	.	.	PUNCT
ajst-16295	35	1	these	these	DET
ajst-16295	35	2	results	result	NOUN
ajst-16295	35	3	indicate	indicate	VERB
ajst-16295	35	4	that	that	DET
ajst-16295	35	5	parameter	parameter	NOUN
ajst-16295	35	6	optimization	optimization	NOUN
ajst-16295	35	7	has	have	AUX
ajst-16295	35	8	indeed	indeed	ADV
ajst-16295	35	9	improved	improve	VERB
ajst-16295	35	10	noah	noah	PROPN
ajst-16295	35	11	-	-	PUNCT
ajst-16295	35	12	mp	mp	PROPN
ajst-16295	35	13	model	model	NOUN
ajst-16295	35	14	to	to	PART
ajst-16295	35	15	simulate	simulate	VERB
ajst-16295	35	16	regional	regional	ADJ
ajst-16295	35	17	scale	scale	NOUN
ajst-16295	35	18	evapotranspiration	evapotranspiration	NOUN
ajst-16295	35	19	and	and	CCONJ
ajst-16295	35	20	its	its	PRON
ajst-16295	35	21	components	component	NOUN
ajst-16295	35	22	in	in	ADP
ajst-16295	35	23	the	the	DET
ajst-16295	35	24	ecosystem	ecosystem	NOUN
ajst-16295	35	25	of	of	ADP
ajst-16295	35	26	the	the	DET
ajst-16295	35	27	yellow	yellow	PROPN
ajst-16295	35	28	river	river	NOUN
ajst-16295	35	29	basin	basin	NOUN
ajst-16295	35	30	.	.	PUNCT
ajst-16295	36	1	3.2	3.2	NUM
ajst-16295	36	2	.	.	PUNCT
ajst-16295	36	3	t	t	PROPN
ajst-16295	36	4	/	/	SYM
ajst-16295	36	5	et	et	PROPN
ajst-16295	36	6	simulation	simulation	NOUN
ajst-16295	36	7	evaluation	evaluation	NOUN
ajst-16295	36	8	by	by	ADP
ajst-16295	36	9	calculating	calculate	VERB
ajst-16295	36	10	simulated	simulated	ADJ
ajst-16295	36	11	t	t	PROPN
ajst-16295	36	12	/	/	SYM
ajst-16295	36	13	et	et	NOUN
ajst-16295	36	14	and	and	CCONJ
ajst-16295	36	15	measured	measure	VERB
ajst-16295	36	16	t	t	PROPN
ajst-16295	36	17	/	/	SYM
ajst-16295	36	18	et	et	NOUN
ajst-16295	36	19	in	in	ADP
ajst-16295	36	20	the	the	DET
ajst-16295	36	21	yellow	yellow	PROPN
ajst-16295	36	22	river	river	PROPN
ajst-16295	36	23	basin	basin	NOUN
ajst-16295	36	24	of	of	ADP
ajst-16295	36	25	china	china	PROPN
ajst-16295	36	26	from	from	ADP
ajst-16295	36	27	1982	1982	NUM
ajst-16295	36	28	to	to	ADP
ajst-16295	36	29	2015	2015	NUM
ajst-16295	36	30	,	,	PUNCT
ajst-16295	36	31	the	the	DET
ajst-16295	36	32	nse	nse	NOUN
ajst-16295	36	33	,	,	PUNCT
ajst-16295	36	34	r	r	NOUN
ajst-16295	36	35	and	and	CCONJ
ajst-16295	36	36	rmse	rmse	ADJ
ajst-16295	36	37	values	value	NOUN
ajst-16295	36	38	of	of	ADP
ajst-16295	36	39	t	t	PROPN
ajst-16295	36	40	/	/	SYM
ajst-16295	36	41	et	et	NOUN
ajst-16295	36	42	in	in	ADP
ajst-16295	36	43	different	different	ADJ
ajst-16295	36	44	seasons	season	NOUN
ajst-16295	36	45	of	of	ADP
ajst-16295	36	46	vegetation	vegetation	NOUN
ajst-16295	36	47	in	in	ADP
ajst-16295	36	48	the	the	DET
ajst-16295	36	49	yellow	yellow	PROPN
ajst-16295	36	50	river	river	NOUN
ajst-16295	36	51	basin	basin	NOUN
ajst-16295	36	52	were	be	AUX
ajst-16295	36	53	obtained	obtain	VERB
ajst-16295	36	54	.	.	PUNCT
ajst-16295	37	1	it	it	PRON
ajst-16295	37	2	was	be	AUX
ajst-16295	37	3	found	find	VERB
ajst-16295	37	4	that	that	SCONJ
ajst-16295	37	5	the	the	DET
ajst-16295	37	6	nse	nse	NOUN
ajst-16295	37	7	and	and	CCONJ
ajst-16295	37	8	r	r	NOUN
ajst-16295	37	9	values	value	NOUN
ajst-16295	37	10	of	of	ADP
ajst-16295	37	11	deciduous	deciduous	ADJ
ajst-16295	37	12	broadleaf	broadleaf	NOUN
ajst-16295	37	13	forest	forest	NOUN
ajst-16295	37	14	,	,	PUNCT
ajst-16295	37	15	mixed	mixed	ADJ
ajst-16295	37	16	forest	forest	NOUN
ajst-16295	37	17	,	,	PUNCT
ajst-16295	37	18	grassland	grassland	NOUN
ajst-16295	37	19	and	and	CCONJ
ajst-16295	37	20	farmland	farmland	NOUN
ajst-16295	37	21	in	in	ADP
ajst-16295	37	22	the	the	DET
ajst-16295	37	23	source	source	NOUN
ajst-16295	37	24	of	of	ADP
ajst-16295	37	25	the	the	DET
ajst-16295	37	26	yellow	yellow	ADJ
ajst-16295	37	27	river	river	PROPN
ajst-16295	37	28	in	in	ADP
ajst-16295	37	29	autumn	autumn	NOUN
ajst-16295	37	30	were	be	AUX
ajst-16295	37	31	higher	high	ADJ
ajst-16295	37	32	than	than	ADP
ajst-16295	37	33	those	those	PRON
ajst-16295	37	34	in	in	ADP
ajst-16295	37	35	other	other	ADJ
ajst-16295	37	36	seasons	season	NOUN
ajst-16295	37	37	,	,	PUNCT
ajst-16295	37	38	while	while	SCONJ
ajst-16295	37	39	the	the	DET
ajst-16295	37	40	rmse	rmse	ADJ
ajst-16295	37	41	values	value	NOUN
ajst-16295	37	42	were	be	AUX
ajst-16295	37	43	lower	low	ADJ
ajst-16295	37	44	.	.	PUNCT
ajst-16295	38	1	4	4	X
ajst-16295	38	2	.	.	X
ajst-16295	38	3	discuss	discuss	VERB
ajst-16295	38	4	and	and	CCONJ
ajst-16295	38	5	conclusion	conclusion	NOUN
ajst-16295	38	6	in	in	ADP
ajst-16295	38	7	order	order	NOUN
ajst-16295	38	8	to	to	PART
ajst-16295	38	9	improve	improve	VERB
ajst-16295	38	10	the	the	DET
ajst-16295	38	11	simulation	simulation	NOUN
ajst-16295	38	12	performance	performance	NOUN
ajst-16295	38	13	of	of	ADP
ajst-16295	38	14	noahmp	noahmp	ADJ
ajst-16295	38	15	model	model	NOUN
ajst-16295	38	16	,	,	PUNCT
ajst-16295	38	17	this	this	DET
ajst-16295	38	18	paper	paper	NOUN
ajst-16295	38	19	optimized	optimize	VERB
ajst-16295	38	20	the	the	DET
ajst-16295	38	21	parameters	parameter	NOUN
ajst-16295	38	22	of	of	ADP
ajst-16295	38	23	noah	noah	PROPN
ajst-16295	38	24	-	-	PUNCT
ajst-16295	38	25	mp	mp	PROPN
ajst-16295	38	26	model	model	NOUN
ajst-16295	38	27	,	,	PUNCT
ajst-16295	38	28	evaluated	evaluate	VERB
ajst-16295	38	29	the	the	DET
ajst-16295	38	30	et	et	NOUN
ajst-16295	38	31	and	and	CCONJ
ajst-16295	38	32	t	t	PROPN
ajst-16295	38	33	values	value	NOUN
ajst-16295	38	34	of	of	ADP
ajst-16295	38	35	default	default	NOUN
ajst-16295	38	36	parameters	parameter	NOUN
ajst-16295	38	37	and	and	CCONJ
ajst-16295	38	38	optimization	optimization	NOUN
ajst-16295	38	39	parameters	parameter	NOUN
ajst-16295	38	40	,	,	PUNCT
ajst-16295	38	41	and	and	CCONJ
ajst-16295	38	42	further	far	ADV
ajst-16295	38	43	evaluated	evaluate	VERB
ajst-16295	38	44	the	the	DET
ajst-16295	38	45	t	t	PROPN
ajst-16295	38	46	/	/	SYM
ajst-16295	38	47	et	et	NOUN
ajst-16295	38	48	values	value	NOUN
ajst-16295	38	49	of	of	ADP
ajst-16295	38	50	optimization	optimization	NOUN
ajst-16295	38	51	parameters	parameter	NOUN
ajst-16295	38	52	.	.	PUNCT
ajst-16295	39	1	the	the	DET
ajst-16295	39	2	following	follow	VERB
ajst-16295	39	3	findings	finding	NOUN
ajst-16295	39	4	are	be	AUX
ajst-16295	39	5	found	find	VERB
ajst-16295	39	6	:	:	PUNCT
ajst-16295	39	7	(	(	PUNCT
ajst-16295	39	8	1	1	X
ajst-16295	39	9	)	)	PUNCT
ajst-16295	39	10	the	the	DET
ajst-16295	39	11	simulation	simulation	NOUN
ajst-16295	39	12	study	study	NOUN
ajst-16295	39	13	of	of	ADP
ajst-16295	39	14	noah	noah	PROPN
ajst-16295	39	15	-	-	PUNCT
ajst-16295	39	16	mp	mp	PROPN
ajst-16295	39	17	model	model	NOUN
ajst-16295	39	18	with	with	ADP
ajst-16295	39	19	optimized	optimize	VERB
ajst-16295	39	20	parameters	parameter	NOUN
ajst-16295	39	21	found	find	VERB
ajst-16295	39	22	that	that	SCONJ
ajst-16295	39	23	the	the	DET
ajst-16295	39	24	annual	annual	ADJ
ajst-16295	39	25	mean	mean	ADJ
ajst-16295	39	26	sequence	sequence	NOUN
ajst-16295	39	27	nse	nse	NOUN
ajst-16295	39	28	and	and	CCONJ
ajst-16295	39	29	r	r	NOUN
ajst-16295	39	30	were	be	AUX
ajst-16295	39	31	larger	large	ADJ
ajst-16295	39	32	and	and	CCONJ
ajst-16295	39	33	rmse	rmse	ADJ
ajst-16295	39	34	was	be	AUX
ajst-16295	39	35	smaller	small	ADJ
ajst-16295	39	36	in	in	ADP
ajst-16295	39	37	autumn	autumn	NOUN
ajst-16295	39	38	,	,	PUNCT
ajst-16295	39	39	while	while	SCONJ
ajst-16295	39	40	the	the	DET
ajst-16295	39	41	annual	annual	ADJ
ajst-16295	39	42	mean	mean	ADJ
ajst-16295	39	43	sequence	sequence	NOUN
ajst-16295	39	44	nse	nse	NOUN
ajst-16295	39	45	and	and	CCONJ
ajst-16295	39	46	r	r	NOUN
ajst-16295	39	47	were	be	AUX
ajst-16295	39	48	smaller	small	ADJ
ajst-16295	39	49	and	and	CCONJ
ajst-16295	39	50	rmse	rmse	NOUN
ajst-16295	39	51	was	be	AUX
ajst-16295	39	52	larger	large	ADJ
ajst-16295	39	53	in	in	ADP
ajst-16295	39	54	other	other	ADJ
ajst-16295	39	55	seasons	season	NOUN
ajst-16295	39	56	,	,	PUNCT
ajst-16295	39	57	mainly	mainly	ADV
ajst-16295	39	58	because	because	SCONJ
ajst-16295	39	59	noah	noah	PROPN
ajst-16295	39	60	-	-	PUNCT
ajst-16295	39	61	mp	mp	PROPN
ajst-16295	39	62	model	model	NOUN
ajst-16295	39	63	still	still	ADV
ajst-16295	39	64	had	have	VERB
ajst-16295	39	65	a	a	DET
ajst-16295	39	66	large	large	ADJ
ajst-16295	39	67	parameter	parameter	NOUN
ajst-16295	39	68	optimization	optimization	NOUN
ajst-16295	39	69	space	space	NOUN
ajst-16295	39	70	,	,	PUNCT
ajst-16295	39	71	which	which	PRON
ajst-16295	39	72	still	still	ADV
ajst-16295	39	73	affected	affect	VERB
ajst-16295	39	74	the	the	DET
ajst-16295	39	75	simulation	simulation	NOUN
ajst-16295	39	76	performance	performance	NOUN
ajst-16295	39	77	of	of	ADP
ajst-16295	39	78	the	the	DET
ajst-16295	39	79	model	model	NOUN
ajst-16295	39	80	.	.	PUNCT
ajst-16295	40	1	resulting	result	VERB
ajst-16295	40	2	in	in	ADP
ajst-16295	40	3	serious	serious	ADJ
ajst-16295	40	4	deviations	deviation	NOUN
ajst-16295	40	5	in	in	ADP
ajst-16295	40	6	t	t	PROPN
ajst-16295	40	7	/	/	SYM
ajst-16295	40	8	et	et	NOUN
ajst-16295	40	9	modeling	modeling	NOUN
ajst-16295	40	10	.	.	PUNCT
ajst-16295	41	1	(	(	PUNCT
ajst-16295	41	2	2	2	X
ajst-16295	41	3	)	)	PUNCT
ajst-16295	41	4	parameter	parameter	NOUN
ajst-16295	41	5	optimization	optimization	NOUN
ajst-16295	41	6	indeed	indeed	ADV
ajst-16295	41	7	improved	improve	VERB
ajst-16295	41	8	the	the	DET
ajst-16295	41	9	performance	performance	NOUN
ajst-16295	41	10	of	of	ADP
ajst-16295	41	11	the	the	DET
ajst-16295	41	12	model	model	NOUN
ajst-16295	41	13	's	's	PART
ajst-16295	41	14	vegetation	vegetation	NOUN
ajst-16295	41	15	dynamic	dynamic	ADJ
ajst-16295	41	16	modeling	modeling	NOUN
ajst-16295	41	17	.	.	PUNCT
ajst-16295	42	1	compared	compare	VERB
ajst-16295	42	2	with	with	ADP
ajst-16295	42	3	the	the	DET
ajst-16295	42	4	unmodified	unmodified	PROPN
ajst-16295	42	5	noah	noah	PROPN
ajst-16295	42	6	-	-	PUNCT
ajst-16295	42	7	mp	mp	PROPN
ajst-16295	42	8	model	model	NOUN
ajst-16295	42	9	,	,	PUNCT
ajst-16295	42	10	et	et	PROPN
ajst-16295	42	11	nse(median	nse(median	PROPN
ajst-16295	42	12	)	)	PUNCT
ajst-16295	42	13	increased	increase	VERB
ajst-16295	42	14	from	from	ADP
ajst-16295	42	15	0.367	0.367	NUM
ajst-16295	42	16	to	to	ADP
ajst-16295	42	17	0.451	0.451	NUM
ajst-16295	42	18	under	under	ADP
ajst-16295	42	19	optimized	optimize	VERB
ajst-16295	42	20	parameters	parameter	NOUN
ajst-16295	42	21	.	.	PUNCT
ajst-16295	43	1	t	t	PROPN
ajst-16295	43	2	nse(median	nse(median	PROPN
ajst-16295	43	3	)	)	PUNCT
ajst-16295	43	4	increased	increase	VERB
ajst-16295	43	5	from	from	ADP
ajst-16295	43	6	-0.416	-0.416	PROPN
ajst-16295	43	7	to	to	ADP
ajst-16295	43	8	0.124	0.124	NUM
ajst-16295	43	9	.	.	PUNCT
ajst-16295	44	1	these	these	DET
ajst-16295	44	2	results	result	NOUN
ajst-16295	44	3	indicate	indicate	VERB
ajst-16295	44	4	that	that	DET
ajst-16295	44	5	parameter	parameter	NOUN
ajst-16295	44	6	optimization	optimization	NOUN
ajst-16295	44	7	has	have	AUX
ajst-16295	44	8	indeed	indeed	ADV
ajst-16295	44	9	improved	improve	VERB
ajst-16295	44	10	noah	noah	PROPN
ajst-16295	44	11	-	-	PUNCT
ajst-16295	44	12	mp	mp	PROPN
ajst-16295	44	13	model	model	NOUN
ajst-16295	44	14	to	to	PART
ajst-16295	44	15	simulate	simulate	VERB
ajst-16295	44	16	regional	regional	ADJ
ajst-16295	44	17	scale	scale	NOUN
ajst-16295	44	18	evapotranspiration	evapotranspiration	NOUN
ajst-16295	44	19	and	and	CCONJ
ajst-16295	44	20	its	its	PRON
ajst-16295	44	21	components	component	NOUN
ajst-16295	44	22	in	in	ADP
ajst-16295	44	23	the	the	DET
ajst-16295	44	24	ecosystem	ecosystem	NOUN
ajst-16295	44	25	of	of	ADP
ajst-16295	44	26	the	the	DET
ajst-16295	44	27	yellow	yellow	PROPN
ajst-16295	44	28	river	river	NOUN
ajst-16295	44	29	basin	basin	NOUN
ajst-16295	44	30	.	.	PUNCT
ajst-16295	45	1	references	reference	NOUN
ajst-16295	45	2	[	[	X
ajst-16295	45	3	1	1	NUM
ajst-16295	45	4	]	]	PUNCT
ajst-16295	45	5	maxwell	maxwell	PROPN
ajst-16295	45	6	r	r	PROPN
ajst-16295	45	7	m	m	PROPN
ajst-16295	45	8	,	,	PUNCT
ajst-16295	45	9	condon	condon	PROPN
ajst-16295	45	10	l	l	PROPN
ajst-16295	45	11	e.	e.	PROPN
ajst-16295	45	12	connections	connection	NOUN
ajst-16295	45	13	between	between	ADP
ajst-16295	45	14	groundwater	groundwater	NOUN
ajst-16295	45	15	flow	flow	NOUN
ajst-16295	45	16	and	and	CCONJ
ajst-16295	45	17	transpiration	transpiration	NOUN
ajst-16295	45	18	partitioning[j	partitioning[j	NOUN
ajst-16295	45	19	]	]	PUNCT
ajst-16295	45	20	.	.	PUNCT
ajst-16295	46	1	science	science	NOUN
ajst-16295	46	2	,	,	PUNCT
ajst-16295	46	3	2016	2016	NUM
ajst-16295	46	4	,	,	PUNCT
ajst-16295	46	5	353	353	NUM
ajst-16295	46	6	(	(	PUNCT
ajst-16295	46	7	6297	6297	NUM
ajst-16295	46	8	):	):	PUNCT
ajst-16295	46	9	377	377	NUM
ajst-16295	46	10	-	-	SYM
ajst-16295	46	11	380	380	NUM
ajst-16295	46	12	.	.	PUNCT
ajst-16295	47	1	[	[	X
ajst-16295	47	2	2	2	NUM
ajst-16295	47	3	]	]	PUNCT
ajst-16295	47	4	fisher	fisher	PROPN
ajst-16295	47	5	j	j	PROPN
ajst-16295	47	6	b	b	PROPN
ajst-16295	47	7	,	,	PUNCT
ajst-16295	47	8	tu	tu	PROPN
ajst-16295	47	9	k	k	PROPN
ajst-16295	47	10	p	p	X
ajst-16295	47	11	,	,	PUNCT
ajst-16295	47	12	baldocchi	baldocchi	PROPN
ajst-16295	47	13	d	d	PROPN
ajst-16295	47	14	d.	d.	PROPN
ajst-16295	47	15	global	global	PROPN
ajst-16295	47	16	estimates	estimate	NOUN
ajst-16295	47	17	of	of	ADP
ajst-16295	47	18	the	the	DET
ajst-16295	47	19	land	land	NOUN
ajst-16295	47	20	–	–	PUNCT
ajst-16295	47	21	atmosphere	atmosphere	NOUN
ajst-16295	47	22	water	water	NOUN
ajst-16295	47	23	flux	flux	NOUN
ajst-16295	47	24	based	base	VERB
ajst-16295	47	25	on	on	ADP
ajst-16295	47	26	monthly	monthly	ADJ
ajst-16295	47	27	avhrr	avhrr	NOUN
ajst-16295	47	28	and	and	CCONJ
ajst-16295	47	29	islscp	islscp	ADJ
ajst-16295	47	30	-	-	PUNCT
ajst-16295	47	31	ii	ii	NOUN
ajst-16295	47	32	data	datum	NOUN
ajst-16295	47	33	,	,	PUNCT
ajst-16295	47	34	validated	validate	VERB
ajst-16295	47	35	at	at	ADP
ajst-16295	47	36	16	16	NUM
ajst-16295	47	37	fluxnet	fluxnet	ADJ
ajst-16295	47	38	sites[j	sites[j	PROPN
ajst-16295	47	39	]	]	PUNCT
ajst-16295	47	40	.	.	PUNCT
ajst-16295	48	1	remote	remote	ADJ
ajst-16295	48	2	sensing	sensing	NOUN
ajst-16295	48	3	of	of	ADP
ajst-16295	48	4	environment	environment	NOUN
ajst-16295	48	5	,	,	PUNCT
ajst-16295	48	6	2008,112(3):901	2008,112(3):901	NUM
ajst-16295	48	7	-	-	SYM
ajst-16295	48	8	919	919	NUM
ajst-16295	48	9	.	.	PUNCT
ajst-16295	49	1	[	[	X
ajst-16295	49	2	3	3	X
ajst-16295	49	3	]	]	X
ajst-16295	49	4	zhu	zhu	PROPN
ajst-16295	49	5	x	x	SYM
ajst-16295	49	6	,	,	PUNCT
ajst-16295	49	7	yu	yu	PROPN
ajst-16295	49	8	g	g	PROPN
ajst-16295	49	9	,	,	PUNCT
ajst-16295	49	10	hu	hu	PROPN
ajst-16295	49	11	z	z	PROPN
ajst-16295	49	12	,	,	PUNCT
ajst-16295	49	13	et	et	PROPN
ajst-16295	49	14	al	al	PROPN
ajst-16295	49	15	.	.	PUNCT
ajst-16295	49	16	spatiotemporal	spatiotemporal	ADJ
ajst-16295	49	17	variations	variation	NOUN
ajst-16295	49	18	of	of	ADP
ajst-16295	49	19	t	t	PROPN
ajst-16295	49	20	/	/	SYM
ajst-16295	49	21	et	et	PROPN
ajst-16295	49	22	(	(	PUNCT
ajst-16295	49	23	the	the	DET
ajst-16295	49	24	ratio	ratio	NOUN
ajst-16295	49	25	of	of	ADP
ajst-16295	49	26	transpiration	transpiration	NOUN
ajst-16295	49	27	to	to	PART
ajst-16295	49	28	evapotranspiration	evapotranspiration	VERB
ajst-16295	49	29	)	)	PUNCT
ajst-16295	49	30	in	in	ADP
ajst-16295	49	31	three	three	NUM
ajst-16295	49	32	forests	forest	NOUN
ajst-16295	49	33	of	of	ADP
ajst-16295	49	34	eastern	eastern	ADJ
ajst-16295	49	35	china[j	china[j	NOUN
ajst-16295	49	36	]	]	PUNCT
ajst-16295	49	37	.	.	PUNCT
ajst-16295	50	1	ecological	ecological	ADJ
ajst-16295	50	2	indicators	indicator	NOUN
ajst-16295	50	3	,	,	PUNCT
ajst-16295	50	4	2015,52:411	2015,52:411	PROPN
ajst-16295	50	5	-	-	PUNCT
ajst-16295	50	6	421	421	NUM
ajst-16295	50	7	.	.	PUNCT
ajst-16295	51	1	[	[	X
ajst-16295	51	2	4	4	NUM
ajst-16295	51	3	]	]	X
ajst-16295	51	4	berkelhammer	berkelhammer	NOUN
ajst-16295	51	5	m	m	PROPN
ajst-16295	51	6	,	,	PUNCT
ajst-16295	51	7	noone	noone	NOUN
ajst-16295	51	8	d	d	PROPN
ajst-16295	51	9	c	c	PROPN
ajst-16295	51	10	,	,	PUNCT
ajst-16295	51	11	wong	wong	PROPN
ajst-16295	51	12	t	t	PROPN
ajst-16295	51	13	e	e	PROPN
ajst-16295	51	14	,	,	PUNCT
ajst-16295	51	15	et	et	PROPN
ajst-16295	51	16	al	al	PROPN
ajst-16295	51	17	.	.	PUNCT
ajst-16295	52	1	convergent	convergent	NOUN
ajst-16295	52	2	approaches	approach	NOUN
ajst-16295	52	3	to	to	PART
ajst-16295	52	4	determine	determine	VERB
ajst-16295	52	5	an	an	DET
ajst-16295	52	6	ecosystem	ecosystem	NOUN
ajst-16295	52	7	's	's	PART
ajst-16295	52	8	transpiration	transpiration	NOUN
ajst-16295	52	9	fraction	fraction	NOUN
ajst-16295	53	1	[	[	X
ajst-16295	53	2	j	j	X
ajst-16295	53	3	]	]	X
ajst-16295	53	4	.	.	PUNCT
ajst-16295	54	1	global	global	ADJ
ajst-16295	54	2	biogeochemical	biogeochemical	ADJ
ajst-16295	54	3	cycles	cycle	NOUN
ajst-16295	54	4	,	,	PUNCT
ajst-16295	54	5	2016	2016	NUM
ajst-16295	54	6	,	,	PUNCT
ajst-16295	54	7	30(6	30(6	NUM
ajst-16295	54	8	):	):	PUNCT
ajst-16295	54	9	933	933	NUM
ajst-16295	54	10	-	-	SYM
ajst-16295	54	11	951	951	NUM
ajst-16295	54	12	.	.	PUNCT