id	sid	tid	token	lemma	pos
ajst-19170	1	1	academic	academic	ADJ
ajst-19170	1	2	journal	journal	NOUN
ajst-19170	1	3	of	of	ADP
ajst-19170	1	4	science	science	NOUN
ajst-19170	1	5	and	and	CCONJ
ajst-19170	1	6	technology	technology	NOUN
ajst-19170	1	7	issn	issn	NOUN
ajst-19170	1	8	:	:	PUNCT
ajst-19170	1	9	2771	2771	NUM
ajst-19170	1	10	-	-	SYM
ajst-19170	1	11	3032	3032	NUM
ajst-19170	1	12	|	|	NOUN
ajst-19170	1	13	vol	vol	NOUN
ajst-19170	1	14	.	.	PROPN
ajst-19170	2	1	10	10	NUM
ajst-19170	2	2	,	,	PUNCT
ajst-19170	2	3	no	no	INTJ
ajst-19170	2	4	.	.	NOUN
ajst-19170	2	5	1	1	NUM
ajst-19170	2	6	,	,	PUNCT
ajst-19170	2	7	2024	2024	NUM
ajst-19170	2	8	163	163	NUM
ajst-19170	2	9	characterization	characterization	NOUN
ajst-19170	2	10	of	of	ADP
ajst-19170	2	11	surface	surface	NOUN
ajst-19170	2	12	pressure	pressure	NOUN
ajst-19170	2	13	accuracy	accuracy	NOUN
ajst-19170	2	14	and	and	CCONJ
ajst-19170	2	15	spatial	spatial	ADJ
ajst-19170	2	16	and	and	CCONJ
ajst-19170	2	17	temporal	temporal	ADJ
ajst-19170	2	18	variations	variation	NOUN
ajst-19170	2	19	of	of	ADP
ajst-19170	2	20	the	the	DET
ajst-19170	2	21	gpt3	gpt3	NOUN
ajst-19170	2	22	and	and	CCONJ
ajst-19170	2	23	hgpt2	hgpt2	NOUN
ajst-19170	2	24	models	model	NOUN
ajst-19170	2	25	in	in	ADP
ajst-19170	2	26	the	the	DET
ajst-19170	2	27	chinese	chinese	ADJ
ajst-19170	2	28	region	region	NOUN
ajst-19170	2	29	sen	sen	PROPN
ajst-19170	2	30	li	li	PROPN
ajst-19170	2	31	*	*	PROPN
ajst-19170	2	32	,	,	PUNCT
ajst-19170	2	33	kai	kai	PROPN
ajst-19170	2	34	wang	wang	PROPN
ajst-19170	2	35	,	,	PUNCT
ajst-19170	2	36	haofei	haofei	NOUN
ajst-19170	2	37	ban	ban	NOUN
ajst-19170	2	38	,	,	PUNCT
ajst-19170	2	39	chen	chen	PROPN
ajst-19170	2	40	xue	xue	PROPN
ajst-19170	2	41	,	,	PUNCT
ajst-19170	2	42	yongxiao	yongxiao	PROPN
ajst-19170	2	43	guo	guo	PROPN
ajst-19170	2	44	college	college	PROPN
ajst-19170	2	45	of	of	ADP
ajst-19170	2	46	surveying	surveying	NOUN
ajst-19170	2	47	,	,	PUNCT
ajst-19170	2	48	mapping	mapping	NOUN
ajst-19170	2	49	and	and	CCONJ
ajst-19170	2	50	land	land	NOUN
ajst-19170	2	51	information	information	NOUN
ajst-19170	2	52	engineering	engineering	PROPN
ajst-19170	2	53	,	,	PUNCT
ajst-19170	2	54	henan	henan	PROPN
ajst-19170	2	55	polytechnic	polytechnic	PROPN
ajst-19170	2	56	university	university	PROPN
ajst-19170	2	57	,	,	PUNCT
ajst-19170	2	58	454003	454003	NUM
ajst-19170	2	59	,	,	PUNCT
ajst-19170	2	60	china	china	PROPN
ajst-19170	2	61	*	*	PUNCT
ajst-19170	2	62	correspondence	correspondence	NOUN
ajst-19170	2	63	:	:	PUNCT
ajst-19170	2	64	212104020069@home.hpu.edu.cn	212104020069@home.hpu.edu.cn	NUM
ajst-19170	2	65	abstract	abstract	NOUN
ajst-19170	2	66	:	:	PUNCT
ajst-19170	2	67	the	the	DET
ajst-19170	2	68	accuracy	accuracy	NOUN
ajst-19170	2	69	of	of	ADP
ajst-19170	2	70	surface	surface	NOUN
ajst-19170	2	71	pressure	pressure	NOUN
ajst-19170	2	72	is	be	AUX
ajst-19170	2	73	crucial	crucial	ADJ
ajst-19170	2	74	for	for	ADP
ajst-19170	2	75	obtaining	obtain	VERB
ajst-19170	2	76	high	high	ADJ
ajst-19170	2	77	-	-	PUNCT
ajst-19170	2	78	precision	precision	NOUN
ajst-19170	2	79	zenith	zenith	PROPN
ajst-19170	2	80	hydrostatic	hydrostatic	PROPN
ajst-19170	2	81	delay(zhd	delay(zhd	PROPN
ajst-19170	2	82	)	)	PUNCT
ajst-19170	2	83	.	.	PUNCT
ajst-19170	3	1	in	in	ADP
ajst-19170	3	2	order	order	NOUN
ajst-19170	3	3	to	to	PART
ajst-19170	3	4	verify	verify	VERB
ajst-19170	3	5	the	the	DET
ajst-19170	3	6	accuracy	accuracy	NOUN
ajst-19170	3	7	of	of	ADP
ajst-19170	3	8	the	the	DET
ajst-19170	3	9	global	global	ADJ
ajst-19170	3	10	pressure	pressure	NOUN
ajst-19170	3	11	and	and	CCONJ
ajst-19170	3	12	temperature	temperature	NOUN
ajst-19170	3	13	model	model	NOUN
ajst-19170	3	14	(	(	PUNCT
ajst-19170	3	15	hgpt2	hgpt2	NOUN
ajst-19170	3	16	)	)	PUNCT
ajst-19170	3	17	and	and	CCONJ
ajst-19170	3	18	the	the	DET
ajst-19170	3	19	global	global	ADJ
ajst-19170	3	20	pressure	pressure	NOUN
ajst-19170	3	21	and	and	CCONJ
ajst-19170	3	22	temperature	temperature	NOUN
ajst-19170	3	23	(	(	PUNCT
ajst-19170	3	24	gpt3	gpt3	NOUN
ajst-19170	3	25	)	)	PUNCT
ajst-19170	3	26	in	in	ADP
ajst-19170	3	27	obtaining	obtain	VERB
ajst-19170	3	28	ground	ground	NOUN
ajst-19170	3	29	air	air	NOUN
ajst-19170	3	30	pressure	pressure	NOUN
ajst-19170	3	31	in	in	ADP
ajst-19170	3	32	china	china	PROPN
ajst-19170	3	33	,	,	PUNCT
ajst-19170	3	34	as	as	ADV
ajst-19170	3	35	well	well	ADV
ajst-19170	3	36	as	as	ADP
ajst-19170	3	37	the	the	DET
ajst-19170	3	38	spatiotemporal	spatiotemporal	ADJ
ajst-19170	3	39	variation	variation	NOUN
ajst-19170	3	40	characteristics	characteristic	NOUN
ajst-19170	3	41	of	of	ADP
ajst-19170	3	42	the	the	DET
ajst-19170	3	43	errors	error	NOUN
ajst-19170	3	44	of	of	ADP
ajst-19170	3	45	the	the	DET
ajst-19170	3	46	two	two	NUM
ajst-19170	3	47	models	model	NOUN
ajst-19170	3	48	,	,	PUNCT
ajst-19170	3	49	this	this	DET
ajst-19170	3	50	paper	paper	NOUN
ajst-19170	3	51	uses	use	VERB
ajst-19170	3	52	the	the	DET
ajst-19170	3	53	era5	era5	PROPN
ajst-19170	3	54	reanalysis	reanalysi	NOUN
ajst-19170	3	55	dataset	dataset	VERB
ajst-19170	3	56	and	and	CCONJ
ajst-19170	3	57	combines	combine	VERB
ajst-19170	3	58	it	it	PRON
ajst-19170	3	59	with	with	ADP
ajst-19170	3	60	actual	actual	ADJ
ajst-19170	3	61	meteorological	meteorological	ADJ
ajst-19170	3	62	data	datum	NOUN
ajst-19170	3	63	from	from	ADP
ajst-19170	3	64	weather	weather	NOUN
ajst-19170	3	65	stations	station	NOUN
ajst-19170	3	66	to	to	PART
ajst-19170	3	67	evaluate	evaluate	VERB
ajst-19170	3	68	their	their	PRON
ajst-19170	3	69	performance	performance	NOUN
ajst-19170	3	70	.	.	PUNCT
ajst-19170	4	1	the	the	DET
ajst-19170	4	2	results	result	NOUN
ajst-19170	4	3	show	show	VERB
ajst-19170	4	4	that	that	SCONJ
ajst-19170	4	5	the	the	DET
ajst-19170	4	6	results	result	NOUN
ajst-19170	4	7	show	show	VERB
ajst-19170	4	8	that	that	SCONJ
ajst-19170	4	9	the	the	DET
ajst-19170	4	10	hgpt2	hgpt2	NOUN
ajst-19170	4	11	model	model	NOUN
ajst-19170	4	12	has	have	VERB
ajst-19170	4	13	better	well	ADJ
ajst-19170	4	14	accuracy	accuracy	NOUN
ajst-19170	4	15	in	in	ADP
ajst-19170	4	16	simulating	simulate	VERB
ajst-19170	4	17	atmospheric	atmospheric	ADJ
ajst-19170	4	18	pressure	pressure	NOUN
ajst-19170	4	19	in	in	ADP
ajst-19170	4	20	china	china	PROPN
ajst-19170	4	21	than	than	ADP
ajst-19170	4	22	the	the	DET
ajst-19170	4	23	gpt3	gpt3	NOUN
ajst-19170	4	24	model	model	NOUN
ajst-19170	4	25	,	,	PUNCT
ajst-19170	4	26	with	with	ADP
ajst-19170	4	27	atmospheric	atmospheric	ADJ
ajst-19170	4	28	pressure	pressure	NOUN
ajst-19170	4	29	bias	bias	NOUN
ajst-19170	4	30	of	of	ADP
ajst-19170	4	31	-0.54	-0.54	NOUN
ajst-19170	4	32	hpa	hpa	NOUN
ajst-19170	4	33	and	and	CCONJ
ajst-19170	4	34	-2.09	-2.09	NUM
ajst-19170	4	35	hpa	hpa	NOUN
ajst-19170	4	36	,	,	PUNCT
ajst-19170	4	37	and	and	CCONJ
ajst-19170	4	38	rms	rm	NOUN
ajst-19170	4	39	of	of	ADP
ajst-19170	4	40	4.42	4.42	NUM
ajst-19170	4	41	hpa	hpa	NOUN
ajst-19170	4	42	and	and	CCONJ
ajst-19170	4	43	4.91	4.91	NUM
ajst-19170	4	44	hpa	hpa	NOUN
ajst-19170	4	45	,	,	PUNCT
ajst-19170	4	46	respectively	respectively	ADV
ajst-19170	4	47	.	.	PUNCT
ajst-19170	5	1	this	this	DET
ajst-19170	5	2	article	article	NOUN
ajst-19170	5	3	analyzes	analyze	VERB
ajst-19170	5	4	the	the	DET
ajst-19170	5	5	spatial	spatial	ADJ
ajst-19170	5	6	and	and	CCONJ
ajst-19170	5	7	temporal	temporal	ADJ
ajst-19170	5	8	characteristics	characteristic	NOUN
ajst-19170	5	9	of	of	ADP
ajst-19170	5	10	model	model	NOUN
ajst-19170	5	11	errors	error	NOUN
ajst-19170	5	12	based	base	VERB
ajst-19170	5	13	on	on	ADP
ajst-19170	5	14	china	china	PROPN
ajst-19170	5	15	's	's	PART
ajst-19170	5	16	climate	climate	NOUN
ajst-19170	5	17	types	type	NOUN
ajst-19170	5	18	.	.	PUNCT
ajst-19170	6	1	the	the	DET
ajst-19170	6	2	performance	performance	NOUN
ajst-19170	6	3	of	of	ADP
ajst-19170	6	4	the	the	DET
ajst-19170	6	5	gpt3	gpt3	NOUN
ajst-19170	6	6	and	and	CCONJ
ajst-19170	6	7	hgpt2	hgpt2	NOUN
ajst-19170	6	8	models	model	NOUN
ajst-19170	6	9	varies	vary	VERB
ajst-19170	6	10	in	in	ADP
ajst-19170	6	11	different	different	ADJ
ajst-19170	6	12	regions	region	NOUN
ajst-19170	6	13	,	,	PUNCT
ajst-19170	6	14	and	and	CCONJ
ajst-19170	6	15	their	their	PRON
ajst-19170	6	16	accuracy	accuracy	NOUN
ajst-19170	6	17	in	in	ADP
ajst-19170	6	18	simulating	simulate	VERB
ajst-19170	6	19	atmospheric	atmospheric	ADJ
ajst-19170	6	20	pressure	pressure	NOUN
ajst-19170	6	21	changes	change	NOUN
ajst-19170	6	22	is	be	AUX
ajst-19170	6	23	poorer	poor	ADJ
ajst-19170	6	24	in	in	ADP
ajst-19170	6	25	northern	northern	ADJ
ajst-19170	6	26	and	and	CCONJ
ajst-19170	6	27	northwestern	northwestern	ADJ
ajst-19170	6	28	china	china	PROPN
ajst-19170	6	29	.	.	PUNCT
ajst-19170	7	1	keywords	keyword	NOUN
ajst-19170	7	2	:	:	PUNCT
ajst-19170	7	3	gpt3	gpt3	NOUN
ajst-19170	7	4	,	,	PUNCT
ajst-19170	7	5	hgpt2	hgpt2	PROPN
ajst-19170	7	6	,	,	PUNCT
ajst-19170	7	7	precision	precision	NOUN
ajst-19170	7	8	analysis	analysis	NOUN
ajst-19170	7	9	,	,	PUNCT
ajst-19170	7	10	surface	surface	NOUN
ajst-19170	7	11	pressure	pressure	NOUN
ajst-19170	7	12	.	.	PUNCT
ajst-19170	8	1	1	1	X
ajst-19170	8	2	.	.	X
ajst-19170	8	3	introduction	introduction	NOUN
ajst-19170	8	4	pressure	pressure	NOUN
ajst-19170	8	5	plays	play	VERB
ajst-19170	8	6	a	a	DET
ajst-19170	8	7	crucial	crucial	ADJ
ajst-19170	8	8	role	role	NOUN
ajst-19170	8	9	in	in	ADP
ajst-19170	8	10	calculating	calculate	VERB
ajst-19170	8	11	zenith	zenith	PROPN
ajst-19170	8	12	hydrostatic	hydrostatic	ADJ
ajst-19170	8	13	delay	delay	NOUN
ajst-19170	8	14	within	within	ADP
ajst-19170	8	15	the	the	DET
ajst-19170	8	16	global	global	ADJ
ajst-19170	8	17	satellite	satellite	NOUN
ajst-19170	8	18	navigation	navigation	NOUN
ajst-19170	8	19	system	system	NOUN
ajst-19170	8	20	(	(	PUNCT
ajst-19170	8	21	gnss	gnss	NOUN
ajst-19170	8	22	)	)	PUNCT
ajst-19170	8	23	technology	technology	NOUN
ajst-19170	8	24	.	.	PUNCT
ajst-19170	9	1	this	this	PRON
ajst-19170	9	2	is	be	AUX
ajst-19170	9	3	pivotal	pivotal	ADJ
ajst-19170	9	4	for	for	ADP
ajst-19170	9	5	determining	determine	VERB
ajst-19170	9	6	gnss	gnss	NOUN
ajst-19170	9	7	precipitable	precipitable	ADJ
ajst-19170	9	8	water	water	NOUN
ajst-19170	9	9	vapor	vapor	NOUN
ajst-19170	9	10	(	(	PUNCT
ajst-19170	9	11	pwv	pwv	PROPN
ajst-19170	9	12	)	)	PUNCT
ajst-19170	9	13	,	,	PUNCT
ajst-19170	9	14	as	as	ADV
ajst-19170	9	15	well	well	ADV
ajst-19170	9	16	as	as	ADP
ajst-19170	9	17	real	real	ADJ
ajst-19170	9	18	-	-	PUNCT
ajst-19170	9	19	time	time	NOUN
ajst-19170	9	20	monitoring	monitoring	NOUN
ajst-19170	9	21	and	and	CCONJ
ajst-19170	9	22	assessment	assessment	NOUN
ajst-19170	9	23	of	of	ADP
ajst-19170	9	24	atmospheric	atmospheric	ADJ
ajst-19170	9	25	water	water	NOUN
ajst-19170	9	26	vapor	vapor	NOUN
ajst-19170	9	27	content(chen	content(chen	PROPN
ajst-19170	9	28	&	&	CCONJ
ajst-19170	9	29	liu	liu	PROPN
ajst-19170	9	30	,	,	PUNCT
ajst-19170	9	31	2016	2016	NUM
ajst-19170	9	32	;	;	PUNCT
ajst-19170	9	33	ding	ding	NOUN
ajst-19170	9	34	,	,	PUNCT
ajst-19170	9	35	2020	2020	NUM
ajst-19170	9	36	;	;	PUNCT
ajst-19170	9	37	huang	huang	PROPN
ajst-19170	9	38	et	et	PROPN
ajst-19170	9	39	al	al	PROPN
ajst-19170	9	40	.	.	PROPN
ajst-19170	9	41	,	,	PUNCT
ajst-19170	9	42	2021	2021	NUM
ajst-19170	9	43	)	)	PUNCT
ajst-19170	9	44	.	.	PUNCT
ajst-19170	10	1	it	it	PRON
ajst-19170	10	2	also	also	ADV
ajst-19170	10	3	holds	hold	VERB
ajst-19170	10	4	significance	significance	NOUN
ajst-19170	10	5	in	in	ADP
ajst-19170	10	6	meteorological	meteorological	ADJ
ajst-19170	10	7	hazard	hazard	NOUN
ajst-19170	10	8	monitoring	monitoring	NOUN
ajst-19170	10	9	,	,	PUNCT
ajst-19170	10	10	weather	weather	NOUN
ajst-19170	10	11	forecasting	forecasting	NOUN
ajst-19170	10	12	,	,	PUNCT
ajst-19170	10	13	and	and	CCONJ
ajst-19170	10	14	evaluating	evaluate	VERB
ajst-19170	10	15	atmospheric	atmospheric	ADJ
ajst-19170	10	16	quality	quality	NOUN
ajst-19170	10	17	(	(	PUNCT
ajst-19170	10	18	lee	lee	PROPN
ajst-19170	10	19	,	,	PUNCT
ajst-19170	10	20	2013	2013	NUM
ajst-19170	10	21	;	;	PUNCT
ajst-19170	10	22	h.	h.	PROPN
ajst-19170	10	23	li	li	PROPN
ajst-19170	10	24	et	et	PROPN
ajst-19170	10	25	al	al	PROPN
ajst-19170	10	26	.	.	PROPN
ajst-19170	10	27	,	,	PUNCT
ajst-19170	10	28	2021	2021	NUM
ajst-19170	10	29	;	;	PUNCT
ajst-19170	10	30	zhang	zhang	PROPN
ajst-19170	10	31	et	et	PROPN
ajst-19170	10	32	al	al	PROPN
ajst-19170	10	33	.	.	PROPN
ajst-19170	10	34	,	,	PUNCT
ajst-19170	10	35	2015	2015	NUM
ajst-19170	10	36	;	;	PUNCT
ajst-19170	10	37	zhu	zhu	PROPN
ajst-19170	10	38	et	et	PROPN
ajst-19170	10	39	al	al	PROPN
ajst-19170	10	40	.	.	PROPN
ajst-19170	10	41	,	,	PUNCT
ajst-19170	10	42	2023	2023	NUM
ajst-19170	10	43	)	)	PUNCT
ajst-19170	10	44	.	.	PUNCT
ajst-19170	11	1	therefore	therefore	ADV
ajst-19170	11	2	,	,	PUNCT
ajst-19170	11	3	the	the	DET
ajst-19170	11	4	study	study	NOUN
ajst-19170	11	5	of	of	ADP
ajst-19170	11	6	obtaining	obtain	VERB
ajst-19170	11	7	high	high	ADJ
ajst-19170	11	8	-	-	PUNCT
ajst-19170	11	9	precision	precision	NOUN
ajst-19170	11	10	pressure	pressure	NOUN
ajst-19170	11	11	data	datum	NOUN
ajst-19170	11	12	is	be	AUX
ajst-19170	11	13	of	of	ADP
ajst-19170	11	14	utmost	utmost	ADJ
ajst-19170	11	15	importance	importance	NOUN
ajst-19170	11	16	.	.	PUNCT
ajst-19170	12	1	while	while	SCONJ
ajst-19170	12	2	meteorological	meteorological	ADJ
ajst-19170	12	3	parameters	parameter	NOUN
ajst-19170	12	4	like	like	ADP
ajst-19170	12	5	surface	surface	NOUN
ajst-19170	12	6	pressure	pressure	NOUN
ajst-19170	12	7	and	and	CCONJ
ajst-19170	12	8	air	air	NOUN
ajst-19170	12	9	temperature	temperature	NOUN
ajst-19170	12	10	can	can	AUX
ajst-19170	12	11	be	be	AUX
ajst-19170	12	12	accurately	accurately	ADV
ajst-19170	12	13	measured	measure	VERB
ajst-19170	12	14	by	by	ADP
ajst-19170	12	15	weather	weather	NOUN
ajst-19170	12	16	stations	station	NOUN
ajst-19170	12	17	,	,	PUNCT
ajst-19170	12	18	obtaining	obtain	VERB
ajst-19170	12	19	water	water	NOUN
ajst-19170	12	20	vapor	vapor	NOUN
ajst-19170	12	21	data	datum	NOUN
ajst-19170	12	22	with	with	ADP
ajst-19170	12	23	high	high	ADJ
ajst-19170	12	24	spatial	spatial	ADJ
ajst-19170	12	25	and	and	CCONJ
ajst-19170	12	26	temporal	temporal	ADJ
ajst-19170	12	27	resolution	resolution	NOUN
ajst-19170	12	28	remains	remain	VERB
ajst-19170	12	29	challenging	challenge	VERB
ajst-19170	12	30	due	due	ADP
ajst-19170	12	31	to	to	ADP
ajst-19170	12	32	the	the	DET
ajst-19170	12	33	high	high	ADJ
ajst-19170	12	34	operational	operational	ADJ
ajst-19170	12	35	costs	cost	NOUN
ajst-19170	12	36	of	of	ADP
ajst-19170	12	37	conventional	conventional	ADJ
ajst-19170	12	38	sensors	sensor	NOUN
ajst-19170	12	39	such	such	ADJ
ajst-19170	12	40	as	as	ADP
ajst-19170	12	41	radio	radio	NOUN
ajst-19170	12	42	sounders	sounder	NOUN
ajst-19170	12	43	,	,	PUNCT
ajst-19170	12	44	weather	weather	NOUN
ajst-19170	12	45	radars	radar	NOUN
ajst-19170	12	46	,	,	PUNCT
ajst-19170	12	47	and	and	CCONJ
ajst-19170	12	48	water	water	NOUN
ajst-19170	12	49	vapor	vapor	NOUN
ajst-19170	12	50	radiometers	radiometer	NOUN
ajst-19170	12	51	(	(	PUNCT
ajst-19170	12	52	bock	bock	NOUN
ajst-19170	12	53	et	et	PROPN
ajst-19170	12	54	al	al	PROPN
ajst-19170	12	55	.	.	PROPN
ajst-19170	12	56	,	,	PUNCT
ajst-19170	12	57	2013	2013	NUM
ajst-19170	12	58	;	;	PUNCT
ajst-19170	12	59	guerova	guerova	PROPN
ajst-19170	12	60	et	et	PROPN
ajst-19170	12	61	al	al	PROPN
ajst-19170	12	62	.	.	PROPN
ajst-19170	12	63	,	,	PUNCT
ajst-19170	12	64	2016	2016	NUM
ajst-19170	12	65	)	)	PUNCT
ajst-19170	12	66	.	.	PUNCT
ajst-19170	13	1	as	as	SCONJ
ajst-19170	13	2	the	the	DET
ajst-19170	13	3	number	number	NOUN
ajst-19170	13	4	of	of	ADP
ajst-19170	13	5	gnss	gnss	NOUN
ajst-19170	13	6	stations	station	NOUN
ajst-19170	13	7	equipped	equip	VERB
ajst-19170	13	8	with	with	ADP
ajst-19170	13	9	meteorological	meteorological	ADJ
ajst-19170	13	10	sensors	sensor	NOUN
ajst-19170	13	11	is	be	AUX
ajst-19170	13	12	limited	limit	VERB
ajst-19170	13	13	,	,	PUNCT
ajst-19170	13	14	the	the	DET
ajst-19170	13	15	global	global	ADJ
ajst-19170	13	16	pressure	pressure	NOUN
ajst-19170	13	17	-	-	PUNCT
ajst-19170	13	18	temperature	temperature	NOUN
ajst-19170	13	19	model	model	NOUN
ajst-19170	13	20	is	be	AUX
ajst-19170	13	21	primarily	primarily	ADV
ajst-19170	13	22	used	use	VERB
ajst-19170	13	23	to	to	PART
ajst-19170	13	24	obtain	obtain	VERB
ajst-19170	13	25	data	datum	NOUN
ajst-19170	13	26	like	like	ADP
ajst-19170	13	27	air	air	NOUN
ajst-19170	13	28	temperature	temperature	NOUN
ajst-19170	13	29	and	and	CCONJ
ajst-19170	13	30	pressure	pressure	NOUN
ajst-19170	13	31	across	across	ADP
ajst-19170	13	32	the	the	DET
ajst-19170	13	33	globe	globe	NOUN
ajst-19170	13	34	.	.	PUNCT
ajst-19170	14	1	initial	initial	ADJ
ajst-19170	14	2	atmospheric	atmospheric	ADJ
ajst-19170	14	3	parameter	parameter	NOUN
ajst-19170	14	4	correction	correction	NOUN
ajst-19170	14	5	models	model	NOUN
ajst-19170	14	6	,	,	PUNCT
ajst-19170	14	7	such	such	ADJ
ajst-19170	14	8	as	as	ADP
ajst-19170	14	9	the	the	DET
ajst-19170	14	10	university	university	NOUN
ajst-19170	14	11	of	of	ADP
ajst-19170	14	12	new	new	PROPN
ajst-19170	14	13	brunswick	brunswick	PROPN
ajst-19170	14	14	(	(	PUNCT
ajst-19170	14	15	unb	unb	PROPN
ajst-19170	14	16	)	)	PUNCT
ajst-19170	14	17	series	series	NOUN
ajst-19170	14	18	of	of	ADP
ajst-19170	14	19	models	model	NOUN
ajst-19170	14	20	in	in	ADP
ajst-19170	14	21	canada	canada	PROPN
ajst-19170	14	22	(	(	PUNCT
ajst-19170	14	23	li	li	PROPN
ajst-19170	14	24	et	et	PROPN
ajst-19170	14	25	al	al	PROPN
ajst-19170	14	26	.	.	PROPN
ajst-19170	14	27	,	,	PUNCT
ajst-19170	14	28	2012	2012	NUM
ajst-19170	14	29	;	;	PUNCT
ajst-19170	14	30	wang	wang	PROPN
ajst-19170	14	31	&	&	CCONJ
ajst-19170	14	32	li	li	PROPN
ajst-19170	14	33	,	,	PUNCT
ajst-19170	14	34	2016	2016	NUM
ajst-19170	14	35	;	;	PUNCT
ajst-19170	14	36	yao	yao	PROPN
ajst-19170	14	37	et	et	PROPN
ajst-19170	14	38	al	al	PROPN
ajst-19170	14	39	.	.	PROPN
ajst-19170	14	40	,	,	PUNCT
ajst-19170	14	41	2015	2015	NUM
ajst-19170	14	42	)	)	PUNCT
ajst-19170	14	43	,	,	PUNCT
ajst-19170	14	44	suffered	suffer	VERB
ajst-19170	14	45	from	from	ADP
ajst-19170	14	46	poor	poor	ADJ
ajst-19170	14	47	spatial	spatial	ADJ
ajst-19170	14	48	resolution	resolution	NOUN
ajst-19170	14	49	due	due	ADP
ajst-19170	14	50	to	to	ADP
ajst-19170	14	51	a	a	DET
ajst-19170	14	52	scarcity	scarcity	NOUN
ajst-19170	14	53	of	of	ADP
ajst-19170	14	54	early	early	ADJ
ajst-19170	14	55	meteorological	meteorological	ADJ
ajst-19170	14	56	observing	observe	VERB
ajst-19170	14	57	stations	station	NOUN
ajst-19170	14	58	.	.	PUNCT
ajst-19170	15	1	this	this	DET
ajst-19170	15	2	situation	situation	NOUN
ajst-19170	15	3	improved	improve	VERB
ajst-19170	15	4	with	with	ADP
ajst-19170	15	5	the	the	DET
ajst-19170	15	6	introduction	introduction	NOUN
ajst-19170	15	7	of	of	ADP
ajst-19170	15	8	numerical	numerical	ADJ
ajst-19170	15	9	weather	weather	NOUN
ajst-19170	15	10	models	model	NOUN
ajst-19170	15	11	(	(	PUNCT
ajst-19170	15	12	nwm	nwm	NOUN
ajst-19170	15	13	)	)	PUNCT
ajst-19170	15	14	.	.	PUNCT
ajst-19170	16	1	the	the	DET
ajst-19170	16	2	gpt	gpt	NOUN
ajst-19170	16	3	(	(	PUNCT
ajst-19170	16	4	global	global	ADJ
ajst-19170	16	5	pressure	pressure	NOUN
ajst-19170	16	6	and	and	CCONJ
ajst-19170	16	7	temperature	temperature	NOUN
ajst-19170	16	8	)	)	PUNCT
ajst-19170	16	9	model	model	NOUN
ajst-19170	16	10	family	family	NOUN
ajst-19170	16	11	(	(	PUNCT
ajst-19170	16	12	boehm	boehm	PROPN
ajst-19170	16	13	et	et	PROPN
ajst-19170	16	14	al	al	PROPN
ajst-19170	16	15	.	.	PROPN
ajst-19170	16	16	,	,	PUNCT
ajst-19170	16	17	2007	2007	NUM
ajst-19170	16	18	;	;	PUNCT
ajst-19170	16	19	zhang	zhang	PROPN
ajst-19170	16	20	et	et	PROPN
ajst-19170	16	21	al	al	PROPN
ajst-19170	16	22	.	.	PROPN
ajst-19170	16	23	,	,	PUNCT
ajst-19170	16	24	2018	2018	NUM
ajst-19170	16	25	)	)	PUNCT
ajst-19170	16	26	which	which	PRON
ajst-19170	16	27	is	be	AUX
ajst-19170	16	28	based	base	VERB
ajst-19170	16	29	on	on	ADP
ajst-19170	16	30	reanalyzed	reanalyze	VERB
ajst-19170	16	31	nwp	nwp	NOUN
ajst-19170	16	32	products	product	NOUN
ajst-19170	16	33	from	from	ADP
ajst-19170	16	34	the	the	DET
ajst-19170	16	35	european	european	ADJ
ajst-19170	16	36	centre	centre	NOUN
ajst-19170	16	37	for	for	ADP
ajst-19170	16	38	medium	medium	ADJ
ajst-19170	16	39	-	-	PUNCT
ajst-19170	16	40	range	range	NOUN
ajst-19170	16	41	weather	weather	NOUN
ajst-19170	16	42	forecasting	forecasting	NOUN
ajst-19170	16	43	(	(	PUNCT
ajst-19170	16	44	ecmwf	ecmwf	PROPN
ajst-19170	16	45	)	)	PUNCT
ajst-19170	16	46	,	,	PUNCT
ajst-19170	16	47	is	be	AUX
ajst-19170	16	48	widely	widely	ADV
ajst-19170	16	49	used	use	VERB
ajst-19170	16	50	.	.	PUNCT
ajst-19170	17	1	this	this	DET
ajst-19170	17	2	series	series	NOUN
ajst-19170	17	3	of	of	ADP
ajst-19170	17	4	models	model	NOUN
ajst-19170	17	5	has	have	AUX
ajst-19170	17	6	been	be	AUX
ajst-19170	17	7	refined	refine	VERB
ajst-19170	17	8	with	with	ADP
ajst-19170	17	9	increasing	increase	VERB
ajst-19170	17	10	nwp	nwp	NOUN
ajst-19170	17	11	spatial	spatial	ADJ
ajst-19170	17	12	and	and	CCONJ
ajst-19170	17	13	temporal	temporal	ADJ
ajst-19170	17	14	resolution	resolution	NOUN
ajst-19170	17	15	,	,	PUNCT
ajst-19170	17	16	leading	lead	VERB
ajst-19170	17	17	to	to	ADP
ajst-19170	17	18	improvements	improvement	NOUN
ajst-19170	17	19	like	like	ADP
ajst-19170	17	20	gpt2	gpt2	PROPN
ajst-19170	17	21	,	,	PUNCT
ajst-19170	17	22	gpt2w	gpt2w	PROPN
ajst-19170	17	23	,	,	PUNCT
ajst-19170	17	24	and	and	CCONJ
ajst-19170	17	25	gpt3	gpt3	NOUN
ajst-19170	17	26	(	(	PUNCT
ajst-19170	17	27	böhm	böhm	NOUN
ajst-19170	17	28	et	et	PROPN
ajst-19170	17	29	al	al	PROPN
ajst-19170	17	30	.	.	PROPN
ajst-19170	17	31	,	,	PUNCT
ajst-19170	17	32	2014	2014	NUM
ajst-19170	17	33	;	;	PUNCT
ajst-19170	17	34	lagler	lagler	NOUN
ajst-19170	17	35	et	et	PROPN
ajst-19170	17	36	al	al	PROPN
ajst-19170	17	37	.	.	PROPN
ajst-19170	17	38	,	,	PUNCT
ajst-19170	17	39	2013	2013	NUM
ajst-19170	17	40	;	;	PUNCT
ajst-19170	17	41	landskron	landskron	PROPN
ajst-19170	17	42	&	&	CCONJ
ajst-19170	17	43	böhm	böhm	PROPN
ajst-19170	17	44	,	,	PUNCT
ajst-19170	17	45	2017	2017	NUM
ajst-19170	17	46	)	)	PUNCT
ajst-19170	17	47	.	.	PUNCT
ajst-19170	18	1	gpt2w	gpt2w	PROPN
ajst-19170	18	2	(	(	PUNCT
ajst-19170	18	3	liu	liu	PROPN
ajst-19170	18	4	et	et	PROPN
ajst-19170	18	5	al	al	PROPN
ajst-19170	18	6	.	.	PROPN
ajst-19170	18	7	,	,	PUNCT
ajst-19170	18	8	2017	2017	NUM
ajst-19170	18	9	;	;	PUNCT
ajst-19170	18	10	liu	liu	PROPN
ajst-19170	18	11	et	et	PROPN
ajst-19170	18	12	al	al	PROPN
ajst-19170	18	13	.	.	PROPN
ajst-19170	18	14	,	,	PUNCT
ajst-19170	18	15	2019	2019	NUM
ajst-19170	18	16	)	)	PUNCT
ajst-19170	18	17	refines	refine	VERB
ajst-19170	18	18	gpt2	gpt2	NOUN
ajst-19170	18	19	by	by	ADP
ajst-19170	18	20	incorporating	incorporate	VERB
ajst-19170	18	21	a	a	DET
ajst-19170	18	22	1	1	NUM
ajst-19170	18	23	°	°	NUM
ajst-19170	18	24	×1	×1	NOUN
ajst-19170	18	25	°	°	NUM
ajst-19170	18	26	parameter	parameter	NOUN
ajst-19170	18	27	file	file	NOUN
ajst-19170	18	28	and	and	CCONJ
ajst-19170	18	29	introducing	introduce	VERB
ajst-19170	18	30	weighted	weight	VERB
ajst-19170	18	31	mean	mean	ADJ
ajst-19170	18	32	temperature	temperature	NOUN
ajst-19170	18	33	and	and	CCONJ
ajst-19170	18	34	water	water	NOUN
ajst-19170	18	35	vapor	vapor	NOUN
ajst-19170	18	36	decreasing	decrease	VERB
ajst-19170	18	37	factor	factor	NOUN
ajst-19170	18	38	parameters	parameter	NOUN
ajst-19170	18	39	.	.	PUNCT
ajst-19170	19	1	gpt3	gpt3	NOUN
ajst-19170	19	2	,	,	PUNCT
ajst-19170	19	3	the	the	DET
ajst-19170	19	4	latest	late	ADJ
ajst-19170	19	5	iteration	iteration	NOUN
ajst-19170	19	6	,	,	PUNCT
ajst-19170	19	7	includes	include	VERB
ajst-19170	19	8	an	an	DET
ajst-19170	19	9	estimation	estimation	NOUN
ajst-19170	19	10	of	of	ADP
ajst-19170	19	11	hydrostatic	hydrostatic	ADJ
ajst-19170	19	12	force	force	NOUN
ajst-19170	19	13	gradients	gradient	NOUN
ajst-19170	19	14	in	in	ADP
ajst-19170	19	15	various	various	ADJ
ajst-19170	19	16	directions	direction	NOUN
ajst-19170	19	17	and	and	CCONJ
ajst-19170	19	18	has	have	AUX
ajst-19170	19	19	undergone	undergo	VERB
ajst-19170	19	20	rigorous	rigorous	ADJ
ajst-19170	19	21	evaluation	evaluation	NOUN
ajst-19170	19	22	and	and	CCONJ
ajst-19170	19	23	refinement	refinement	NOUN
ajst-19170	19	24	by	by	ADP
ajst-19170	19	25	scholars	scholar	NOUN
ajst-19170	19	26	(	(	PUNCT
ajst-19170	19	27	ding	ding	PROPN
ajst-19170	19	28	&	&	CCONJ
ajst-19170	19	29	chen	chen	PROPN
ajst-19170	19	30	,	,	PUNCT
ajst-19170	19	31	2020	2020	NUM
ajst-19170	19	32	;	;	PUNCT
ajst-19170	19	33	huang	huang	PROPN
ajst-19170	19	34	et	et	PROPN
ajst-19170	19	35	al	al	PROPN
ajst-19170	19	36	.	.	PROPN
ajst-19170	19	37	,	,	PUNCT
ajst-19170	19	38	2022	2022	NUM
ajst-19170	19	39	;	;	PUNCT
ajst-19170	19	40	l.	l.	PROPN
ajst-19170	19	41	li	li	PROPN
ajst-19170	19	42	et	et	PROPN
ajst-19170	19	43	al	al	PROPN
ajst-19170	19	44	.	.	PROPN
ajst-19170	19	45	,	,	PUNCT
ajst-19170	19	46	2022	2022	NUM
ajst-19170	19	47	;	;	PUNCT
ajst-19170	19	48	s.	s.	PROPN
ajst-19170	19	49	li	li	PROPN
ajst-19170	19	50	et	et	PROPN
ajst-19170	19	51	al	al	PROPN
ajst-19170	19	52	.	.	PROPN
ajst-19170	19	53	,	,	PUNCT
ajst-19170	19	54	2022	2022	NUM
ajst-19170	19	55	)	)	PUNCT
ajst-19170	19	56	,	,	PUNCT
ajst-19170	19	57	positioning	position	VERB
ajst-19170	19	58	it	it	PRON
ajst-19170	19	59	as	as	ADP
ajst-19170	19	60	the	the	DET
ajst-19170	19	61	most	most	ADV
ajst-19170	19	62	accurate	accurate	ADJ
ajst-19170	19	63	model	model	NOUN
ajst-19170	19	64	in	in	ADP
ajst-19170	19	65	the	the	DET
ajst-19170	19	66	series	series	NOUN
ajst-19170	19	67	,	,	PUNCT
ajst-19170	19	68	widely	widely	ADV
ajst-19170	19	69	employed	employ	VERB
ajst-19170	19	70	in	in	ADP
ajst-19170	19	71	gnss	gnss	NOUN
ajst-19170	19	72	processing	processing	NOUN
ajst-19170	19	73	software	software	NOUN
ajst-19170	19	74	like	like	ADP
ajst-19170	19	75	gamit	gamit	PROPN
ajst-19170	19	76	/	/	SYM
ajst-19170	19	77	globk	globk	PROPN
ajst-19170	19	78	and	and	CCONJ
ajst-19170	19	79	bernese	bernese	ADJ
ajst-19170	19	80	.	.	PUNCT
ajst-19170	20	1	hgpt	hgpt	NOUN
ajst-19170	20	2	employs	employ	VERB
ajst-19170	20	3	the	the	DET
ajst-19170	20	4	20	20	NUM
ajst-19170	20	5	-	-	PUNCT
ajst-19170	20	6	year	year	NOUN
ajst-19170	20	7	ecmwf	ecmwf	PROPN
ajst-19170	20	8	era5	era5	PROPN
ajst-19170	20	9	reanalysis	reanalysi	VERB
ajst-19170	20	10	with	with	ADP
ajst-19170	20	11	a	a	DET
ajst-19170	20	12	0.25	0.25	NUM
ajst-19170	20	13	°	°	NOUN
ajst-19170	20	14	×	×	NOUN
ajst-19170	20	15	0.25	0.25	NUM
ajst-19170	20	16	°	°	NOUN
ajst-19170	20	17	spatial	spatial	ADJ
ajst-19170	20	18	and	and	CCONJ
ajst-19170	20	19	1	1	NUM
ajst-19170	20	20	-	-	PUNCT
ajst-19170	20	21	hour	hour	NOUN
ajst-19170	20	22	temporal	temporal	ADJ
ajst-19170	20	23	resolution	resolution	NOUN
ajst-19170	20	24	.	.	PUNCT
ajst-19170	21	1	the	the	DET
ajst-19170	21	2	hgpt(cai	hgpt(cai	PROPN
ajst-19170	21	3	et	et	PROPN
ajst-19170	21	4	al	al	PROPN
ajst-19170	21	5	.	.	PROPN
ajst-19170	21	6	,	,	PUNCT
ajst-19170	21	7	2022	2022	NUM
ajst-19170	21	8	;	;	PUNCT
ajst-19170	21	9	mateus	mateus	PROPN
ajst-19170	21	10	et	et	PROPN
ajst-19170	21	11	al	al	PROPN
ajst-19170	21	12	.	.	PROPN
ajst-19170	21	13	,	,	PUNCT
ajst-19170	21	14	2020	2020	NUM
ajst-19170	21	15	;	;	PUNCT
ajst-19170	21	16	zhao	zhao	PROPN
ajst-19170	21	17	et	et	PROPN
ajst-19170	21	18	al	al	PROPN
ajst-19170	21	19	.	.	PROPN
ajst-19170	21	20	,	,	PUNCT
ajst-19170	21	21	2023	2023	NUM
ajst-19170	21	22	)	)	PUNCT
ajst-19170	21	23	introduces	introduce	VERB
ajst-19170	21	24	a	a	DET
ajst-19170	21	25	linear	linear	ADJ
ajst-19170	21	26	trend	trend	NOUN
ajst-19170	21	27	to	to	PART
ajst-19170	21	28	provide	provide	VERB
ajst-19170	21	29	surface	surface	NOUN
ajst-19170	21	30	pressure	pressure	NOUN
ajst-19170	21	31	,	,	PUNCT
ajst-19170	21	32	temperature	temperature	NOUN
ajst-19170	21	33	,	,	PUNCT
ajst-19170	21	34	zenithal	zenithal	VERB
ajst-19170	21	35	non	non	ADJ
ajst-19170	21	36	-	-	ADJ
ajst-19170	21	37	hydrostatic	hydrostatic	ADJ
ajst-19170	21	38	delays	delay	NOUN
ajst-19170	21	39	,	,	PUNCT
ajst-19170	21	40	and	and	CCONJ
ajst-19170	21	41	weighted	weight	VERB
ajst-19170	21	42	mean	mean	ADJ
ajst-19170	21	43	temperature	temperature	NOUN
ajst-19170	21	44	values	value	NOUN
ajst-19170	21	45	globally	globally	ADV
ajst-19170	21	46	.	.	PUNCT
ajst-19170	22	1	in	in	ADP
ajst-19170	22	2	contrast	contrast	NOUN
ajst-19170	22	3	,	,	PUNCT
ajst-19170	22	4	the	the	DET
ajst-19170	22	5	hgpt2	hgpt2	NOUN
ajst-19170	22	6	(	(	PUNCT
ajst-19170	22	7	mateus	mateus	PROPN
ajst-19170	22	8	et	et	PROPN
ajst-19170	22	9	al	al	PROPN
ajst-19170	22	10	.	.	PROPN
ajst-19170	22	11	,	,	PUNCT
ajst-19170	22	12	2021	2021	NUM
ajst-19170	22	13	)	)	PUNCT
ajst-19170	22	14	is	be	AUX
ajst-19170	22	15	based	base	VERB
ajst-19170	22	16	on	on	ADP
ajst-19170	22	17	the	the	DET
ajst-19170	22	18	time	time	NOUN
ajst-19170	22	19	-	-	PUNCT
ajst-19170	22	20	split	split	NOUN
ajst-19170	22	21	concept	concept	NOUN
ajst-19170	22	22	,	,	PUNCT
ajst-19170	22	23	offering	offer	VERB
ajst-19170	22	24	information	information	NOUN
ajst-19170	22	25	on	on	ADP
ajst-19170	22	26	relative	relative	ADJ
ajst-19170	22	27	humidity	humidity	NOUN
ajst-19170	22	28	,	,	PUNCT
ajst-19170	22	29	zenith	zenith	PROPN
ajst-19170	22	30	non	non	ADJ
ajst-19170	22	31	-	-	ADJ
ajst-19170	22	32	hydrostatic	hydrostatic	ADJ
ajst-19170	22	33	delay	delay	NOUN
ajst-19170	22	34	,	,	PUNCT
ajst-19170	22	35	and	and	CCONJ
ajst-19170	22	36	precipitable	precipitable	ADJ
ajst-19170	22	37	precipitation	precipitation	NOUN
ajst-19170	22	38	on	on	ADP
ajst-19170	22	39	a	a	DET
ajst-19170	22	40	global	global	ADJ
ajst-19170	22	41	scale	scale	NOUN
ajst-19170	22	42	with	with	ADP
ajst-19170	22	43	annual	annual	ADJ
ajst-19170	22	44	,	,	PUNCT
ajst-19170	22	45	semiannual	semiannual	ADJ
ajst-19170	22	46	,	,	PUNCT
ajst-19170	22	47	and	and	CCONJ
ajst-19170	22	48	quarterly	quarterly	ADJ
ajst-19170	22	49	cycles	cycle	NOUN
ajst-19170	22	50	.	.	PUNCT
ajst-19170	23	1	the	the	DET
ajst-19170	23	2	model	model	NOUN
ajst-19170	23	3	's	's	PART
ajst-19170	23	4	performance	performance	NOUN
ajst-19170	23	5	significantly	significantly	ADV
ajst-19170	23	6	impacts	impact	VERB
ajst-19170	23	7	the	the	DET
ajst-19170	23	8	accuracy	accuracy	NOUN
ajst-19170	23	9	of	of	ADP
ajst-19170	23	10	solving	solve	VERB
ajst-19170	23	11	zhd	zhd	PROPN
ajst-19170	23	12	and	and	CCONJ
ajst-19170	23	13	calculating	calculate	VERB
ajst-19170	23	14	pwv	pwv	PROPN
ajst-19170	23	15	(	(	PUNCT
ajst-19170	23	16	l.	l.	PROPN
ajst-19170	23	17	li	li	PROPN
ajst-19170	23	18	et	et	PROPN
ajst-19170	23	19	al	al	PROPN
ajst-19170	23	20	.	.	PROPN
ajst-19170	23	21	,	,	PUNCT
ajst-19170	23	22	2021	2021	NUM
ajst-19170	23	23	;	;	PUNCT
ajst-19170	23	24	wang	wang	PROPN
ajst-19170	23	25	et	et	PROPN
ajst-19170	23	26	al	al	PROPN
ajst-19170	23	27	.	.	PROPN
ajst-19170	23	28	,	,	PUNCT
ajst-19170	23	29	2017	2017	NUM
ajst-19170	23	30	;	;	PUNCT
ajst-19170	23	31	xia	xia	PROPN
ajst-19170	23	32	et	et	PROPN
ajst-19170	23	33	al	al	PROPN
ajst-19170	23	34	.	.	PROPN
ajst-19170	23	35	,	,	PUNCT
ajst-19170	23	36	2022	2022	NUM
ajst-19170	23	37	)	)	PUNCT
ajst-19170	23	38	.	.	PUNCT
ajst-19170	24	1	to	to	PART
ajst-19170	24	2	assess	assess	VERB
ajst-19170	24	3	the	the	DET
ajst-19170	24	4	performance	performance	NOUN
ajst-19170	24	5	of	of	ADP
ajst-19170	24	6	the	the	DET
ajst-19170	24	7	gpt3	gpt3	NOUN
ajst-19170	24	8	and	and	CCONJ
ajst-19170	24	9	hpgt2	hpgt2	NOUN
ajst-19170	24	10	models	model	NOUN
ajst-19170	24	11	in	in	ADP
ajst-19170	24	12	the	the	DET
ajst-19170	24	13	chinese	chinese	ADJ
ajst-19170	24	14	region	region	NOUN
ajst-19170	24	15	,	,	PUNCT
ajst-19170	24	16	this	this	DET
ajst-19170	24	17	study	study	NOUN
ajst-19170	24	18	utilizes	utilize	VERB
ajst-19170	24	19	the	the	DET
ajst-19170	24	20	single	single	ADJ
ajst-19170	24	21	-	-	PUNCT
ajst-19170	24	22	layer	layer	NOUN
ajst-19170	24	23	pressure	pressure	NOUN
ajst-19170	24	24	products	product	NOUN
ajst-19170	24	25	from	from	ADP
ajst-19170	24	26	the	the	DET
ajst-19170	24	27	era5	era5	PROPN
ajst-19170	24	28	reanalysis	reanalysi	NOUN
ajst-19170	24	29	dataset	dataset	VERB
ajst-19170	24	30	.	.	PUNCT
ajst-19170	25	1	it	it	PRON
ajst-19170	25	2	combines	combine	VERB
ajst-19170	25	3	the	the	DET
ajst-19170	25	4	us	us	PROPN
ajst-19170	25	5	geological	geological	ADJ
ajst-19170	25	6	survey	survey	NOUN
ajst-19170	25	7	(	(	PUNCT
ajst-19170	25	8	usgs	usgs	PROPN
ajst-19170	25	9	)	)	PUNCT
ajst-19170	25	10	dem	dem	PROPN
ajst-19170	25	11	grid	grid	NOUN
ajst-19170	25	12	data	datum	NOUN
ajst-19170	25	13	to	to	PART
ajst-19170	25	14	obtain	obtain	VERB
ajst-19170	25	15	ground	ground	NOUN
ajst-19170	25	16	-	-	PUNCT
ajst-19170	25	17	level	level	NOUN
ajst-19170	25	18	pressure	pressure	NOUN
ajst-19170	25	19	for	for	ADP
ajst-19170	25	20	both	both	DET
ajst-19170	25	21	models	model	NOUN
ajst-19170	25	22	.	.	PUNCT
ajst-19170	26	1	the	the	DET
ajst-19170	26	2	accuracy	accuracy	NOUN
ajst-19170	26	3	of	of	ADP
ajst-19170	26	4	the	the	DET
ajst-19170	26	5	model	model	NOUN
ajst-19170	26	6	-	-	PUNCT
ajst-19170	26	7	generated	generate	VERB
ajst-19170	26	8	ground	ground	NOUN
ajst-19170	26	9	-	-	PUNCT
ajst-19170	26	10	level	level	NOUN
ajst-19170	26	11	pressure	pressure	NOUN
ajst-19170	26	12	is	be	AUX
ajst-19170	26	13	evaluated	evaluate	VERB
ajst-19170	26	14	using	use	VERB
ajst-19170	26	15	actual	actual	ADJ
ajst-19170	26	16	measured	measured	ADJ
ajst-19170	26	17	pressure	pressure	NOUN
ajst-19170	26	18	data	datum	NOUN
ajst-19170	26	19	from	from	ADP
ajst-19170	26	20	ground	ground	NOUN
ajst-19170	26	21	meteorological	meteorological	ADJ
ajst-19170	26	22	stations	station	NOUN
ajst-19170	26	23	and	and	CCONJ
ajst-19170	26	24	vertically	vertically	ADV
ajst-19170	26	25	interpolated	interpolate	VERB
ajst-19170	26	26	reanalysis	reanalysis	NOUN
ajst-19170	26	27	dataset	dataset	VERB
ajst-19170	26	28	.	.	PUNCT
ajst-19170	27	1	this	this	DET
ajst-19170	27	2	evaluation	evaluation	NOUN
ajst-19170	27	3	aims	aim	VERB
ajst-19170	27	4	to	to	PART
ajst-19170	27	5	determine	determine	VERB
ajst-19170	27	6	the	the	DET
ajst-19170	27	7	real	real	ADJ
ajst-19170	27	8	-	-	PUNCT
ajst-19170	27	9	time	time	NOUN
ajst-19170	27	10	atmospheric	atmospheric	ADJ
ajst-19170	27	11	pressure	pressure	NOUN
ajst-19170	27	12	model	model	NOUN
ajst-19170	27	13	that	that	PRON
ajst-19170	27	14	demonstrates	demonstrate	VERB
ajst-19170	27	15	the	the	DET
ajst-19170	27	16	most	most	ADV
ajst-19170	27	17	stable	stable	ADJ
ajst-19170	27	18	performance	performance	NOUN
ajst-19170	27	19	in	in	ADP
ajst-19170	27	20	the	the	DET
ajst-19170	27	21	chinese	chinese	ADJ
ajst-19170	27	22	region	region	NOUN
ajst-19170	27	23	.	.	PUNCT
ajst-19170	28	1	additionally	additionally	ADV
ajst-19170	28	2	,	,	PUNCT
ajst-19170	28	3	the	the	DET
ajst-19170	28	4	study	study	NOUN
ajst-19170	28	5	analyzes	analyze	VERB
ajst-19170	28	6	the	the	DET
ajst-19170	28	7	impact	impact	NOUN
ajst-19170	28	8	of	of	ADP
ajst-19170	28	9	different	different	ADJ
ajst-19170	28	10	climatic	climatic	ADJ
ajst-19170	28	11	types	type	NOUN
ajst-19170	28	12	on	on	ADP
ajst-19170	28	13	model	model	NOUN
ajst-19170	28	14	performance	performance	NOUN
ajst-19170	28	15	,	,	PUNCT
ajst-19170	28	16	providing	provide	VERB
ajst-19170	28	17	reference	reference	NOUN
ajst-19170	28	18	for	for	ADP
ajst-19170	28	19	future	future	ADJ
ajst-19170	28	20	model	model	NOUN
ajst-19170	28	21	refinement	refinement	NOUN
ajst-19170	28	22	research	research	NOUN
ajst-19170	28	23	and	and	CCONJ
ajst-19170	28	24	enhancing	enhance	VERB
ajst-19170	28	25	model	model	NOUN
ajst-19170	28	26	performance	performance	NOUN
ajst-19170	28	27	based	base	VERB
ajst-19170	28	28	on	on	ADP
ajst-19170	28	29	climatic	climatic	ADJ
ajst-19170	28	30	characteristics	characteristic	NOUN
ajst-19170	28	31	.	.	PUNCT
ajst-19170	29	1	since	since	SCONJ
ajst-19170	29	2	164	164	NUM
ajst-19170	29	3	the	the	DET
ajst-19170	29	4	accuracy	accuracy	NOUN
ajst-19170	29	5	of	of	ADP
ajst-19170	29	6	atmospheric	atmospheric	ADJ
ajst-19170	29	7	pressure	pressure	NOUN
ajst-19170	29	8	estimation	estimation	NOUN
ajst-19170	29	9	is	be	AUX
ajst-19170	29	10	crucial	crucial	ADJ
ajst-19170	29	11	for	for	ADP
ajst-19170	29	12	the	the	DET
ajst-19170	29	13	accuracy	accuracy	NOUN
ajst-19170	29	14	of	of	ADP
ajst-19170	29	15	calculating	calculate	VERB
ajst-19170	29	16	zhd	zhd	PROPN
ajst-19170	29	17	and	and	CCONJ
ajst-19170	29	18	pwv	pwv	PROPN
ajst-19170	29	19	,	,	PUNCT
ajst-19170	29	20	the	the	DET
ajst-19170	29	21	precision	precision	NOUN
ajst-19170	29	22	evaluation	evaluation	NOUN
ajst-19170	29	23	of	of	ADP
ajst-19170	29	24	the	the	DET
ajst-19170	29	25	models	model	NOUN
ajst-19170	29	26	is	be	AUX
ajst-19170	29	27	of	of	ADP
ajst-19170	29	28	great	great	ADJ
ajst-19170	29	29	importance	importance	NOUN
ajst-19170	29	30	.	.	PUNCT
ajst-19170	30	1	2	2	X
ajst-19170	30	2	.	.	X
ajst-19170	30	3	data	datum	NOUN
ajst-19170	30	4	sources	source	NOUN
ajst-19170	30	5	and	and	CCONJ
ajst-19170	30	6	methods	method	NOUN
ajst-19170	30	7	2.1	2.1	NUM
ajst-19170	30	8	.	.	PUNCT
ajst-19170	31	1	data	datum	NOUN
ajst-19170	31	2	sources	source	NOUN
ajst-19170	31	3	the	the	DET
ajst-19170	31	4	dataset	dataset	NOUN
ajst-19170	31	5	employed	employ	VERB
ajst-19170	31	6	encompasses	encompass	VERB
ajst-19170	31	7	723	723	NUM
ajst-19170	31	8	era5	era5	PROPN
ajst-19170	31	9	grid	grid	NOUN
ajst-19170	31	10	points	point	NOUN
ajst-19170	31	11	and	and	CCONJ
ajst-19170	31	12	45	45	NUM
ajst-19170	31	13	randomly	randomly	ADV
ajst-19170	31	14	chosen	choose	VERB
ajst-19170	31	15	meteorological	meteorological	ADJ
ajst-19170	31	16	stations	station	NOUN
ajst-19170	31	17	across	across	ADP
ajst-19170	31	18	china	china	PROPN
ajst-19170	31	19	.	.	PUNCT
ajst-19170	32	1	additionally	additionally	ADV
ajst-19170	32	2	,	,	PUNCT
ajst-19170	32	3	the	the	DET
ajst-19170	32	4	usgs	usgs	PROPN
ajst-19170	32	5	-	-	PUNCT
ajst-19170	32	6	provided	provide	VERB
ajst-19170	32	7	dem	dem	ADJ
ajst-19170	32	8	grid	grid	NOUN
ajst-19170	32	9	product	product	NOUN
ajst-19170	32	10	was	be	AUX
ajst-19170	32	11	utilized	utilize	VERB
ajst-19170	32	12	to	to	PART
ajst-19170	32	13	determine	determine	VERB
ajst-19170	32	14	the	the	DET
ajst-19170	32	15	elevation	elevation	NOUN
ajst-19170	32	16	of	of	ADP
ajst-19170	32	17	the	the	DET
ajst-19170	32	18	ground	ground	NOUN
ajst-19170	32	19	surface	surface	NOUN
ajst-19170	32	20	at	at	ADP
ajst-19170	32	21	the	the	DET
ajst-19170	32	22	era5	era5	PROPN
ajst-19170	32	23	grid	grid	PROPN
ajst-19170	32	24	points	point	NOUN
ajst-19170	32	25	.	.	PUNCT
ajst-19170	33	1	the	the	DET
ajst-19170	33	2	spatial	spatial	ADJ
ajst-19170	33	3	arrangement	arrangement	NOUN
ajst-19170	33	4	of	of	ADP
ajst-19170	33	5	these	these	DET
ajst-19170	33	6	elements	element	NOUN
ajst-19170	33	7	is	be	AUX
ajst-19170	33	8	visualized	visualize	VERB
ajst-19170	33	9	in	in	ADP
ajst-19170	33	10	figure	figure	NOUN
ajst-19170	33	11	1	1	NUM
ajst-19170	33	12	.	.	PUNCT
ajst-19170	34	1	figure	figure	NOUN
ajst-19170	34	2	1	1	NUM
ajst-19170	34	3	.	.	PUNCT
ajst-19170	34	4	illustrates	illustrate	VERB
ajst-19170	34	5	the	the	DET
ajst-19170	34	6	distribution	distribution	NOUN
ajst-19170	34	7	of	of	ADP
ajst-19170	34	8	era5	era5	PROPN
ajst-19170	34	9	grid	grid	NOUN
ajst-19170	34	10	points	point	NOUN
ajst-19170	34	11	and	and	CCONJ
ajst-19170	34	12	weather	weather	NOUN
ajst-19170	34	13	station	station	NOUN
ajst-19170	34	14	locations	location	NOUN
ajst-19170	34	15	2.2	2.2	NUM
ajst-19170	34	16	.	.	PUNCT
ajst-19170	35	1	data	datum	NOUN
ajst-19170	35	2	introduction	introduction	NOUN
ajst-19170	35	3	the	the	DET
ajst-19170	35	4	dataset	dataset	NOUN
ajst-19170	35	5	utilized	utilize	VERB
ajst-19170	35	6	for	for	ADP
ajst-19170	35	7	this	this	DET
ajst-19170	35	8	research	research	NOUN
ajst-19170	35	9	is	be	AUX
ajst-19170	35	10	sourced	source	VERB
ajst-19170	35	11	from	from	ADP
ajst-19170	35	12	the	the	DET
ajst-19170	35	13	fifth	fifth	ADJ
ajst-19170	35	14	-	-	PUNCT
ajst-19170	35	15	generation	generation	NOUN
ajst-19170	35	16	reanalysis	reanalysi	NOUN
ajst-19170	35	17	dataset	dataset	VERB
ajst-19170	35	18	era5	era5	PROPN
ajst-19170	35	19	(	(	PUNCT
ajst-19170	35	20	https://cds.climate.copernicus.eu/	https://cds.climate.copernicus.eu/	PROPN
ajst-19170	35	21	)	)	PUNCT
ajst-19170	35	22	,	,	PUNCT
ajst-19170	35	23	which	which	PRON
ajst-19170	35	24	is	be	AUX
ajst-19170	35	25	published	publish	VERB
ajst-19170	35	26	by	by	ADP
ajst-19170	35	27	the	the	DET
ajst-19170	35	28	european	european	PROPN
ajst-19170	35	29	centre	centre	PROPN
ajst-19170	35	30	for	for	ADP
ajst-19170	35	31	medium	medium	ADJ
ajst-19170	35	32	range	range	NOUN
ajst-19170	35	33	weather	weather	NOUN
ajst-19170	35	34	forecasts	forecast	NOUN
ajst-19170	35	35	(	(	PUNCT
ajst-19170	35	36	ecmwf	ecmwf	NOUN
ajst-19170	35	37	)	)	PUNCT
ajst-19170	35	38	.	.	PUNCT
ajst-19170	36	1	this	this	DET
ajst-19170	36	2	dataset	dataset	VERB
ajst-19170	36	3	spans	span	NOUN
ajst-19170	36	4	from	from	ADP
ajst-19170	36	5	the	the	DET
ajst-19170	36	6	year	year	NOUN
ajst-19170	36	7	1979	1979	NUM
ajst-19170	36	8	to	to	ADP
ajst-19170	36	9	the	the	DET
ajst-19170	36	10	present	present	NOUN
ajst-19170	36	11	.	.	PUNCT
ajst-19170	37	1	the	the	DET
ajst-19170	37	2	era5	era5	PROPN
ajst-19170	37	3	monolayer	monolayer	PROPN
ajst-19170	37	4	data	data	PROPN
ajst-19170	37	5	consists	consist	VERB
ajst-19170	37	6	of	of	ADP
ajst-19170	37	7	hourly	hourly	ADJ
ajst-19170	37	8	records	record	NOUN
ajst-19170	37	9	,	,	PUNCT
ajst-19170	37	10	often	often	ADV
ajst-19170	37	11	referred	refer	VERB
ajst-19170	37	12	to	to	ADP
ajst-19170	37	13	as	as	ADP
ajst-19170	37	14	"	"	PUNCT
ajst-19170	37	15	land	land	NOUN
ajst-19170	37	16	data	datum	NOUN
ajst-19170	37	17	"	"	PUNCT
ajst-19170	37	18	.	.	PUNCT
ajst-19170	38	1	these	these	DET
ajst-19170	38	2	records	record	NOUN
ajst-19170	38	3	maintain	maintain	VERB
ajst-19170	38	4	a	a	DET
ajst-19170	38	5	temporal	temporal	ADJ
ajst-19170	38	6	resolution	resolution	NOUN
ajst-19170	38	7	of	of	ADP
ajst-19170	38	8	1	1	NUM
ajst-19170	38	9	hour	hour	NOUN
ajst-19170	38	10	and	and	CCONJ
ajst-19170	38	11	are	be	AUX
ajst-19170	38	12	characterized	characterize	VERB
ajst-19170	38	13	by	by	ADP
ajst-19170	38	14	a	a	DET
ajst-19170	38	15	horizontal	horizontal	ADJ
ajst-19170	38	16	resolution	resolution	NOUN
ajst-19170	38	17	of	of	ADP
ajst-19170	38	18	0.25	0.25	NUM
ajst-19170	38	19	°	°	NUM
ajst-19170	38	20	×	×	NOUN
ajst-19170	38	21	0.25°.within	0.25°.within	PRON
ajst-19170	39	1	the	the	DET
ajst-19170	39	2	era5	era5	PROPN
ajst-19170	39	3	ground	ground	PROPN
ajst-19170	39	4	data	data	PROPN
ajst-19170	39	5	,	,	PUNCT
ajst-19170	39	6	essential	essential	ADJ
ajst-19170	39	7	variables	variable	NOUN
ajst-19170	39	8	like	like	ADP
ajst-19170	39	9	potential	potential	NOUN
ajst-19170	39	10	,	,	PUNCT
ajst-19170	39	11	surface	surface	NOUN
ajst-19170	39	12	pressure	pressure	NOUN
ajst-19170	39	13	,	,	PUNCT
ajst-19170	39	14	and	and	CCONJ
ajst-19170	39	15	temperature	temperature	NOUN
ajst-19170	39	16	are	be	AUX
ajst-19170	39	17	encompassed	encompass	VERB
ajst-19170	39	18	.	.	PUNCT
ajst-19170	40	1	these	these	DET
ajst-19170	40	2	variables	variable	NOUN
ajst-19170	40	3	play	play	VERB
ajst-19170	40	4	a	a	DET
ajst-19170	40	5	pivotal	pivotal	ADJ
ajst-19170	40	6	role	role	NOUN
ajst-19170	40	7	in	in	ADP
ajst-19170	40	8	deriving	derive	VERB
ajst-19170	40	9	pressure	pressure	NOUN
ajst-19170	40	10	at	at	ADP
ajst-19170	40	11	ground	ground	NOUN
ajst-19170	40	12	-	-	PUNCT
ajst-19170	40	13	level	level	NOUN
ajst-19170	40	14	points.ground	points.ground	NOUN
ajst-19170	40	15	-	-	PUNCT
ajst-19170	40	16	based	base	VERB
ajst-19170	40	17	meteorological	meteorological	ADJ
ajst-19170	40	18	stations	station	NOUN
ajst-19170	40	19	employ	employ	VERB
ajst-19170	40	20	meteorological	meteorological	ADJ
ajst-19170	40	21	sensors	sensor	NOUN
ajst-19170	40	22	to	to	PART
ajst-19170	40	23	capture	capture	VERB
ajst-19170	40	24	parameters	parameter	NOUN
ajst-19170	40	25	such	such	ADJ
ajst-19170	40	26	as	as	ADP
ajst-19170	40	27	air	air	NOUN
ajst-19170	40	28	temperature	temperature	NOUN
ajst-19170	40	29	,	,	PUNCT
ajst-19170	40	30	pressure	pressure	NOUN
ajst-19170	40	31	,	,	PUNCT
ajst-19170	40	32	and	and	CCONJ
ajst-19170	40	33	total	total	ADJ
ajst-19170	40	34	rainfall	rainfall	NOUN
ajst-19170	40	35	.	.	PUNCT
ajst-19170	41	1	the	the	DET
ajst-19170	41	2	precision	precision	NOUN
ajst-19170	41	3	of	of	ADP
ajst-19170	41	4	pressure	pressure	NOUN
ajst-19170	41	5	detection	detection	NOUN
ajst-19170	41	6	achieved	achieve	VERB
ajst-19170	41	7	by	by	ADP
ajst-19170	41	8	these	these	DET
ajst-19170	41	9	stations	station	NOUN
ajst-19170	41	10	is	be	AUX
ajst-19170	41	11	as	as	ADV
ajst-19170	41	12	high	high	ADJ
ajst-19170	41	13	as	as	ADP
ajst-19170	41	14	0.5	0.5	NUM
ajst-19170	41	15	hpa	hpa	NOUN
ajst-19170	41	16	.	.	PUNCT
ajst-19170	42	1	in	in	ADP
ajst-19170	42	2	this	this	DET
ajst-19170	42	3	study	study	NOUN
ajst-19170	42	4	,	,	PUNCT
ajst-19170	42	5	meteorological	meteorological	ADJ
ajst-19170	42	6	data	datum	NOUN
ajst-19170	42	7	sourced	source	VERB
ajst-19170	42	8	from	from	ADP
ajst-19170	42	9	the	the	DET
ajst-19170	42	10	national	national	ADJ
ajst-19170	42	11	oceanic	oceanic	NOUN
ajst-19170	42	12	and	and	CCONJ
ajst-19170	42	13	atmospheric	atmospheric	PROPN
ajst-19170	42	14	administration	administration	NOUN
ajst-19170	42	15	(	(	PUNCT
ajst-19170	42	16	noaa	noaa	PROPN
ajst-19170	42	17	)	)	PUNCT
ajst-19170	42	18	of	of	ADP
ajst-19170	42	19	the	the	DET
ajst-19170	42	20	united	united	PROPN
ajst-19170	42	21	states	states	PROPN
ajst-19170	42	22	(	(	PUNCT
ajst-19170	42	23	https://www.noaa.gov/climate	https://www.noaa.gov/climate	PROPN
ajst-19170	42	24	)	)	PUNCT
ajst-19170	42	25	are	be	AUX
ajst-19170	42	26	used	use	VERB
ajst-19170	42	27	for	for	ADP
ajst-19170	42	28	comparative	comparative	ADJ
ajst-19170	42	29	analysis	analysis	NOUN
ajst-19170	42	30	.	.	PUNCT
ajst-19170	43	1	specifically	specifically	ADV
ajst-19170	43	2	,	,	PUNCT
ajst-19170	43	3	the	the	DET
ajst-19170	43	4	accuracy	accuracy	NOUN
ajst-19170	43	5	of	of	ADP
ajst-19170	43	6	pressure	pressure	NOUN
ajst-19170	43	7	measurements	measurement	NOUN
ajst-19170	43	8	taken	take	VERB
ajst-19170	43	9	from	from	ADP
ajst-19170	43	10	45	45	NUM
ajst-19170	43	11	meteorological	meteorological	ADJ
ajst-19170	43	12	stations	station	NOUN
ajst-19170	43	13	within	within	ADP
ajst-19170	43	14	the	the	DET
ajst-19170	43	15	chinese	chinese	ADJ
ajst-19170	43	16	region	region	NOUN
ajst-19170	43	17	is	be	AUX
ajst-19170	43	18	contrasted	contrast	VERB
ajst-19170	43	19	with	with	ADP
ajst-19170	43	20	pressure	pressure	NOUN
ajst-19170	43	21	corrected	correct	VERB
ajst-19170	43	22	using	use	VERB
ajst-19170	43	23	era5	era5	PROPN
ajst-19170	43	24	single	single	ADJ
ajst-19170	43	25	-	-	PUNCT
ajst-19170	43	26	layer	layer	NOUN
ajst-19170	43	27	pressure	pressure	NOUN
ajst-19170	43	28	data	datum	NOUN
ajst-19170	43	29	.	.	PUNCT
ajst-19170	44	1	this	this	DET
ajst-19170	44	2	study	study	NOUN
ajst-19170	44	3	also	also	ADV
ajst-19170	44	4	incorporates	incorporate	VERB
ajst-19170	44	5	a	a	DET
ajst-19170	44	6	digital	digital	ADJ
ajst-19170	44	7	elevation	elevation	NOUN
ajst-19170	44	8	model	model	NOUN
ajst-19170	44	9	(	(	PUNCT
ajst-19170	44	10	dem	dem	NOUN
ajst-19170	44	11	)	)	PUNCT
ajst-19170	44	12	grid	grid	NOUN
ajst-19170	44	13	product	product	NOUN
ajst-19170	44	14	sourced	source	VERB
ajst-19170	44	15	from	from	ADP
ajst-19170	44	16	the	the	DET
ajst-19170	44	17	u.s	u.s	PROPN
ajst-19170	44	18	.	.	PROPN
ajst-19170	44	19	geological	geological	ADJ
ajst-19170	44	20	survey	survey	NOUN
ajst-19170	44	21	(	(	PUNCT
ajst-19170	44	22	usgs	usgs	PROPN
ajst-19170	44	23	)	)	PUNCT
ajst-19170	44	24	(	(	PUNCT
ajst-19170	44	25	https://earthexplorer.usgs.gov/	https://earthexplorer.usgs.gov/	NOUN
ajst-19170	44	26	)	)	PUNCT
ajst-19170	44	27	.	.	PUNCT
ajst-19170	45	1	with	with	ADP
ajst-19170	45	2	an	an	DET
ajst-19170	45	3	approximate	approximate	ADJ
ajst-19170	45	4	accuracy	accuracy	NOUN
ajst-19170	45	5	of	of	ADP
ajst-19170	45	6	30	30	NUM
ajst-19170	45	7	meters	meter	NOUN
ajst-19170	45	8	,	,	PUNCT
ajst-19170	45	9	this	this	DET
ajst-19170	45	10	dem	dem	ADJ
ajst-19170	45	11	grid	grid	NOUN
ajst-19170	45	12	product	product	NOUN
ajst-19170	45	13	contributes	contribute	VERB
ajst-19170	45	14	to	to	ADP
ajst-19170	45	15	the	the	DET
ajst-19170	45	16	research	research	NOUN
ajst-19170	45	17	by	by	ADP
ajst-19170	45	18	providing	provide	VERB
ajst-19170	45	19	elevation	elevation	NOUN
ajst-19170	45	20	at	at	ADP
ajst-19170	45	21	the	the	DET
ajst-19170	45	22	surface	surface	NOUN
ajst-19170	45	23	of	of	ADP
ajst-19170	45	24	the	the	DET
ajst-19170	45	25	era5	era5	PROPN
ajst-19170	45	26	grid	grid	PROPN
ajst-19170	45	27	points	point	NOUN
ajst-19170	45	28	.	.	PUNCT
ajst-19170	46	1	these	these	DET
ajst-19170	46	2	elevation	elevation	NOUN
ajst-19170	46	3	are	be	AUX
ajst-19170	46	4	crucial	crucial	ADJ
ajst-19170	46	5	for	for	ADP
ajst-19170	46	6	height	height	NOUN
ajst-19170	46	7	corrections	correction	NOUN
ajst-19170	46	8	applied	apply	VERB
ajst-19170	46	9	to	to	ADP
ajst-19170	46	10	the	the	DET
ajst-19170	46	11	surface	surface	NOUN
ajst-19170	46	12	pressure	pressure	NOUN
ajst-19170	46	13	within	within	ADP
ajst-19170	46	14	the	the	DET
ajst-19170	46	15	era5	era5	PROPN
ajst-19170	46	16	single	single	ADJ
ajst-19170	46	17	-	-	PUNCT
ajst-19170	46	18	layer	layer	NOUN
ajst-19170	46	19	pressure	pressure	NOUN
ajst-19170	46	20	product	product	NOUN
ajst-19170	46	21	.	.	PUNCT
ajst-19170	47	1	2.3	2.3	NUM
ajst-19170	47	2	.	.	X
ajst-19170	48	1	two	two	NUM
ajst-19170	48	2	global	global	ADJ
ajst-19170	48	3	pressure	pressure	NOUN
ajst-19170	48	4	-	-	PUNCT
ajst-19170	48	5	temperature	temperature	NOUN
ajst-19170	48	6	models	model	NOUN
ajst-19170	48	7	the	the	DET
ajst-19170	48	8	gpt3	gpt3	NOUN
ajst-19170	48	9	model	model	NOUN
ajst-19170	48	10	(	(	PUNCT
ajst-19170	48	11	https://vmf.geo.tuwien.ac.at/codes/	https://vmf.geo.tuwien.ac.at/codes/	X
ajst-19170	48	12	)	)	PUNCT
ajst-19170	48	13	represents	represent	VERB
ajst-19170	48	14	the	the	DET
ajst-19170	48	15	most	most	ADV
ajst-19170	48	16	recent	recent	ADJ
ajst-19170	48	17	advancement	advancement	NOUN
ajst-19170	48	18	within	within	ADP
ajst-19170	48	19	the	the	DET
ajst-19170	48	20	gpt	gpt	NOUN
ajst-19170	48	21	model	model	NOUN
ajst-19170	48	22	series	series	PROPN
ajst-19170	48	23	.	.	PUNCT
ajst-19170	49	1	it	it	PRON
ajst-19170	49	2	furnishes	furnish	VERB
ajst-19170	49	3	global	global	ADJ
ajst-19170	49	4	meteorological	meteorological	ADJ
ajst-19170	49	5	grid	grid	NOUN
ajst-19170	49	6	parameters	parameter	NOUN
ajst-19170	49	7	,	,	PUNCT
ajst-19170	49	8	encompassing	encompass	VERB
ajst-19170	49	9	pressure	pressure	NOUN
ajst-19170	49	10	(	(	PUNCT
ajst-19170	49	11	p	p	NOUN
ajst-19170	49	12	)	)	PUNCT
ajst-19170	49	13	,	,	PUNCT
ajst-19170	49	14	temperature	temperature	NOUN
ajst-19170	49	15	(	(	PUNCT
ajst-19170	49	16	t	t	PROPN
ajst-19170	49	17	)	)	PUNCT
ajst-19170	49	18	,	,	PUNCT
ajst-19170	49	19	weighted	weight	VERB
ajst-19170	49	20	mean	mean	ADJ
ajst-19170	49	21	temperature	temperature	NOUN
ajst-19170	49	22	(	(	PUNCT
ajst-19170	49	23	𝑇	𝑇	PROPN
ajst-19170	49	24	)	)	PUNCT
ajst-19170	49	25	,	,	PUNCT
ajst-19170	49	26	and	and	CCONJ
ajst-19170	49	27	specific	specific	ADJ
ajst-19170	49	28	humidity	humidity	NOUN
ajst-19170	49	29	(	(	PUNCT
ajst-19170	49	30	e	e	NOUN
ajst-19170	49	31	)	)	PUNCT
ajst-19170	49	32	.	.	PUNCT
ajst-19170	50	1	these	these	DET
ajst-19170	50	2	parameters	parameter	NOUN
ajst-19170	50	3	are	be	AUX
ajst-19170	50	4	provided	provide	VERB
ajst-19170	50	5	at	at	ADP
ajst-19170	50	6	spatial	spatial	ADJ
ajst-19170	50	7	resolutions	resolution	NOUN
ajst-19170	50	8	of	of	ADP
ajst-19170	50	9	1	1	NUM
ajst-19170	50	10	°	°	NOUN
ajst-19170	50	11	×1	×1	NOUN
ajst-19170	50	12	°	°	NOUN
ajst-19170	50	13	and	and	CCONJ
ajst-19170	50	14	5	5	NUM
ajst-19170	50	15	°	°	ADJ
ajst-19170	50	16	×5	×5	NOUN
ajst-19170	50	17	°	°	NOUN
ajst-19170	50	18	for	for	ADP
ajst-19170	50	19	various	various	ADJ
ajst-19170	50	20	grid	grid	NOUN
ajst-19170	50	21	points	point	NOUN
ajst-19170	50	22	.	.	PUNCT
ajst-19170	51	1	the	the	DET
ajst-19170	51	2	model	model	NOUN
ajst-19170	51	3	employs	employ	VERB
ajst-19170	51	4	the	the	DET
ajst-19170	51	5	least	least	ADJ
ajst-19170	51	6	squares	square	NOUN
ajst-19170	51	7	method	method	NOUN
ajst-19170	51	8	to	to	PART
ajst-19170	51	9	estimate	estimate	VERB
ajst-19170	51	10	alterations	alteration	NOUN
ajst-19170	51	11	in	in	ADP
ajst-19170	51	12	mean	mean	ADJ
ajst-19170	51	13	,	,	PUNCT
ajst-19170	51	14	annual	annual	ADJ
ajst-19170	51	15	,	,	PUNCT
ajst-19170	51	16	and	and	CCONJ
ajst-19170	51	17	semiannual	semiannual	ADJ
ajst-19170	51	18	values	value	NOUN
ajst-19170	51	19	.	.	PUNCT
ajst-19170	52	1	the	the	DET
ajst-19170	52	2	parameter	parameter	NOUN
ajst-19170	52	3	derivation	derivation	NOUN
ajst-19170	52	4	formula	formula	NOUN
ajst-19170	52	5	,	,	PUNCT
ajst-19170	52	6	represented	represent	VERB
ajst-19170	52	7	by	by	ADP
ajst-19170	52	8	equation	equation	NOUN
ajst-19170	52	9	(	(	PUNCT
ajst-19170	52	10	1	1	NUM
ajst-19170	52	11	)	)	PUNCT
ajst-19170	52	12	,	,	PUNCT
ajst-19170	52	13	is	be	AUX
ajst-19170	52	14	provided	provide	VERB
ajst-19170	52	15	as	as	SCONJ
ajst-19170	52	16	follows	follow	VERB
ajst-19170	52	17	:	:	PUNCT
ajst-19170	52	18	0	0	NUM
ajst-19170	52	19	1	1	NUM
ajst-19170	52	20	1	1	NUM
ajst-19170	52	21	2	2	NUM
ajst-19170	52	22	2	2	NUM
ajst-19170	52	23	r	r	NOUN
ajst-19170	52	24	(	(	PUNCT
ajst-19170	52	25	)	)	PUNCT
ajst-19170	52	26	sin	sin	NOUN
ajst-19170	52	27	(	(	PUNCT
ajst-19170	52	28	2	2	NUM
ajst-19170	52	29	)	)	PUNCT
ajst-19170	52	30	sin	sin	NOUN
ajst-19170	52	31	(	(	PUNCT
ajst-19170	52	32	2	2	NUM
ajst-19170	52	33	)	)	PUNCT
ajst-19170	52	34	sin	sin	NOUN
ajst-19170	52	35	(	(	PUNCT
ajst-19170	52	36	4	4	NUM
ajst-19170	52	37	)	)	PUNCT
ajst-19170	52	38	365.25	365.25	NUM
ajst-19170	52	39	365.25	365.25	NUM
ajst-19170	52	40	365.25	365.25	NUM
ajst-19170	52	41	sin	sin	NOUN
ajst-19170	52	42	(	(	PUNCT
ajst-19170	52	43	4	4	NUM
ajst-19170	52	44	)	)	PUNCT
ajst-19170	52	45	365.25	365.25	NUM
ajst-19170	52	46	doy	doy	X
ajst-19170	52	47	doy	doy	PROPN
ajst-19170	52	48	doy	doy	PROPN
ajst-19170	52	49	t	t	PROPN
ajst-19170	52	50	a	a	PRON
ajst-19170	52	51	a	a	DET
ajst-19170	52	52	b	b	NOUN
ajst-19170	52	53	a	a	DET
ajst-19170	52	54	doy	doy	X
ajst-19170	52	55	b	b	PROPN
ajst-19170	52	56			PROPN
ajst-19170	52	57			PROPN
ajst-19170	52	58			PROPN
ajst-19170	52	59			PROPN
ajst-19170	52	60			PROPN
ajst-19170	52	61			PROPN
ajst-19170	52	62			PUNCT
ajst-19170	52	63			PUNCT
ajst-19170	52	64			X
ajst-19170	52	65	(	(	PUNCT
ajst-19170	52	66	1	1	X
ajst-19170	52	67	)	)	PUNCT
ajst-19170	52	68	where	where	SCONJ
ajst-19170	52	69	doy	doy	PROPN
ajst-19170	52	70	stands	stand	VERB
ajst-19170	52	71	for	for	ADP
ajst-19170	52	72	days	day	NOUN
ajst-19170	52	73	of	of	ADP
ajst-19170	52	74	yearly	yearly	ADJ
ajst-19170	52	75	accumulation	accumulation	NOUN
ajst-19170	52	76	,	,	PUNCT
ajst-19170	52	77	and𝐴	and𝐴	NOUN
ajst-19170	52	78	,	,	PUNCT
ajst-19170	52	79	𝐴	𝐴	PROPN
ajst-19170	52	80	,	,	PUNCT
ajst-19170	52	81	𝐵	𝐵	PROPN
ajst-19170	52	82	,	,	PUNCT
ajst-19170	52	83	𝐴	𝐴	PROPN
ajst-19170	52	84	,	,	PUNCT
ajst-19170	52	85	and	and	CCONJ
ajst-19170	52	86	𝐵	𝐵	NOUN
ajst-19170	52	87	are	be	AUX
ajst-19170	52	88	model	model	NOUN
ajst-19170	52	89	parameters	parameter	NOUN
ajst-19170	52	90	,	,	PUNCT
ajst-19170	52	91	all	all	PRON
ajst-19170	52	92	stored	store	VERB
ajst-19170	52	93	as	as	ADP
ajst-19170	52	94	ascii	ascii	NOUN
ajst-19170	52	95	codes	code	NOUN
ajst-19170	52	96	.	.	PUNCT
ajst-19170	53	1	the	the	DET
ajst-19170	53	2	hgpt2	hgpt2	NOUN
ajst-19170	53	3	model(https://github.com	model(https://github.com	X
ajst-19170	53	4	/	/	SYM
ajst-19170	53	5	pjmateus	pjmateus	NOUN
ajst-19170	53	6	/	/	SYM
ajst-19170	53	7	hgpt_model	hgpt_model	NOUN
ajst-19170	53	8	/	/	SYM
ajst-19170	53	9	releases	release	NOUN
ajst-19170	53	10	)	)	PUNCT
ajst-19170	53	11	represents	represent	VERB
ajst-19170	53	12	a	a	DET
ajst-19170	53	13	significant	significant	ADJ
ajst-19170	53	14	advancement	advancement	NOUN
ajst-19170	53	15	by	by	ADP
ajst-19170	53	16	being	be	AUX
ajst-19170	53	17	the	the	DET
ajst-19170	53	18	first	first	ADJ
ajst-19170	53	19	global	global	ADJ
ajst-19170	53	20	model	model	NOUN
ajst-19170	53	21	to	to	PART
ajst-19170	53	22	make	make	VERB
ajst-19170	53	23	use	use	NOUN
ajst-19170	53	24	of	of	ADP
ajst-19170	53	25	era5	era5	PROPN
ajst-19170	53	26	's	's	PART
ajst-19170	53	27	full	full	ADJ
ajst-19170	53	28	horizontal	horizontal	ADJ
ajst-19170	53	29	and	and	CCONJ
ajst-19170	53	30	temporal	temporal	ADJ
ajst-19170	53	31	resolution	resolution	NOUN
ajst-19170	53	32	.	.	PUNCT
ajst-19170	54	1	in	in	ADP
ajst-19170	54	2	comparison	comparison	NOUN
ajst-19170	54	3	to	to	ADP
ajst-19170	54	4	previous	previous	ADJ
ajst-19170	54	5	reanalysis	reanalysis	NOUN
ajst-19170	54	6	data	datum	NOUN
ajst-19170	54	7	products	product	NOUN
ajst-19170	54	8	,	,	PUNCT
ajst-19170	54	9	era5	era5	PROPN
ajst-19170	54	10	exhibits	exhibit	VERB
ajst-19170	54	11	substantial	substantial	ADJ
ajst-19170	54	12	enhancements	enhancement	NOUN
ajst-19170	54	13	in	in	ADP
ajst-19170	54	14	terms	term	NOUN
ajst-19170	54	15	of	of	ADP
ajst-19170	54	16	horizontal	horizontal	ADJ
ajst-19170	54	17	grid	grid	NOUN
ajst-19170	54	18	spacing	spacing	NOUN
ajst-19170	54	19	,	,	PUNCT
ajst-19170	54	20	number	number	NOUN
ajst-19170	54	21	of	of	ADP
ajst-19170	54	22	vertical	vertical	ADJ
ajst-19170	54	23	layers	layer	NOUN
ajst-19170	54	24	,	,	PUNCT
ajst-19170	54	25	and	and	CCONJ
ajst-19170	54	26	temporal	temporal	ADJ
ajst-19170	54	27	resolution	resolution	NOUN
ajst-19170	54	28	.	.	PUNCT
ajst-19170	55	1	this	this	DET
ajst-19170	55	2	heightened	heightened	ADJ
ajst-19170	55	3	temporal	temporal	ADJ
ajst-19170	55	4	resolution	resolution	NOUN
ajst-19170	55	5	has	have	AUX
ajst-19170	55	6	increased	increase	VERB
ajst-19170	55	7	from	from	ADP
ajst-19170	55	8	6	6	NUM
ajst-19170	55	9	hours	hour	NOUN
ajst-19170	55	10	to	to	ADP
ajst-19170	55	11	1	1	NUM
ajst-19170	55	12	hour	hour	NOUN
ajst-19170	55	13	,	,	PUNCT
ajst-19170	55	14	thereby	thereby	ADV
ajst-19170	55	15	facilitating	facilitate	VERB
ajst-19170	55	16	a	a	DET
ajst-19170	55	17	more	more	ADV
ajst-19170	55	18	accurate	accurate	ADJ
ajst-19170	55	19	representation	representation	NOUN
ajst-19170	55	20	of	of	ADP
ajst-19170	55	21	the	the	DET
ajst-19170	55	22	water	water	NOUN
ajst-19170	55	23	vapor	vapor	NOUN
ajst-19170	55	24	dynamics	dynamic	NOUN
ajst-19170	55	25	process	process	NOUN
ajst-19170	55	26	.	.	PUNCT
ajst-19170	56	1	the	the	DET
ajst-19170	56	2	hgpt2	hgpt2	PROPN
ajst-19170	56	3	model	model	NOUN
ajst-19170	56	4	adheres	adhere	VERB
ajst-19170	56	5	to	to	ADP
ajst-19170	56	6	the	the	DET
ajst-19170	56	7	concept	concept	NOUN
ajst-19170	56	8	of	of	ADP
ajst-19170	56	9	temporal	temporal	ADJ
ajst-19170	56	10	partitioning	partitioning	NOUN
ajst-19170	56	11	by	by	ADP
ajst-19170	56	12	incorporating	incorporate	VERB
ajst-19170	56	13	the	the	DET
ajst-19170	56	14	mean	mean	ADJ
ajst-19170	56	15	value	value	NOUN
ajst-19170	56	16	along	along	ADP
ajst-19170	56	17	with	with	ADP
ajst-19170	56	18	three	three	NUM
ajst-19170	56	19	periodic	periodic	ADJ
ajst-19170	56	20	functions	function	NOUN
ajst-19170	56	21	that	that	PRON
ajst-19170	56	22	account	account	VERB
ajst-19170	56	23	for	for	ADP
ajst-19170	56	24	the	the	DET
ajst-19170	56	25	cyclic	cyclic	ADJ
ajst-19170	56	26	patterns	pattern	NOUN
ajst-19170	56	27	of	of	ADP
ajst-19170	56	28	yearly	yearly	ADJ
ajst-19170	56	29	,	,	PUNCT
ajst-19170	56	30	semiannual	semiannual	ADJ
ajst-19170	56	31	,	,	PUNCT
ajst-19170	56	32	and	and	CCONJ
ajst-19170	56	33	quarterly	quarterly	ADJ
ajst-19170	56	34	periods	period	NOUN
ajst-19170	56	35	.	.	PUNCT
ajst-19170	57	1	the	the	DET
ajst-19170	57	2	parameter	parameter	NOUN
ajst-19170	57	3	specified	specify	VERB
ajst-19170	57	4	in	in	ADP
ajst-19170	57	5	equation	equation	NOUN
ajst-19170	57	6	(	(	PUNCT
ajst-19170	57	7	2	2	X
ajst-19170	57	8	)	)	PUNCT
ajst-19170	57	9	is	be	AUX
ajst-19170	57	10	derived	derive	VERB
ajst-19170	57	11	from	from	ADP
ajst-19170	57	12	the	the	DET
ajst-19170	57	13	equation	equation	NOUN
ajst-19170	57	14	,	,	PUNCT
ajst-19170	57	15	and	and	CCONJ
ajst-19170	57	16	the	the	DET
ajst-19170	57	17	formula	formula	NOUN
ajst-19170	57	18	is	be	AUX
ajst-19170	57	19	as	as	SCONJ
ajst-19170	57	20	follows	follow	VERB
ajst-19170	57	21	:	:	PUNCT
ajst-19170	58	1	0	0	NUM
ajst-19170	58	2	0	0	NUM
ajst-19170	58	3	0	0	NUM
ajst-19170	58	4	0	0	NUM
ajst-19170	58	5	1	1	NUM
ajst-19170	58	6	1	1	NUM
ajst-19170	58	7	2	2	NUM
ajst-19170	58	8	2	2	NUM
ajst-19170	58	9	3	3	NUM
ajst-19170	58	10	3	3	NUM
ajst-19170	58	11	2	2	NUM
ajst-19170	58	12	(	(	PUNCT
ajst-19170	58	13	)	)	PUNCT
ajst-19170	58	14	2	2	NUM
ajst-19170	58	15	(	(	PUNCT
ajst-19170	58	16	)	)	PUNCT
ajst-19170	58	17	2	2	NUM
ajst-19170	58	18	(	(	PUNCT
ajst-19170	58	19	)	)	PUNCT
ajst-19170	58	20	(	(	PUNCT
ajst-19170	58	21	)	)	PUNCT
ajst-19170	58	22	cos	cos	PROPN
ajst-19170	58	23	(	(	PUNCT
ajst-19170	58	24	)	)	PUNCT
ajst-19170	58	25	cos	cos	PROPN
ajst-19170	58	26	(	(	PUNCT
ajst-19170	58	27	)	)	PUNCT
ajst-19170	58	28	cos	cos	PROPN
ajst-19170	58	29	(	(	PUNCT
ajst-19170	58	30	)	)	PUNCT
ajst-19170	59	1	365.25	365.25	NUM
ajst-19170	59	2	182.63	182.63	NUM
ajst-19170	59	3	91.31	91.31	NUM
ajst-19170	59	4	t	t	NOUN
ajst-19170	59	5	t	t	PROPN
ajst-19170	59	6	t	t	PROPN
ajst-19170	59	7	t	t	PROPN
ajst-19170	59	8	t	t	PROPN
ajst-19170	59	9	t	t	PROPN
ajst-19170	59	10	r	r	NOUN
ajst-19170	59	11	t	t	PROPN
ajst-19170	59	12	a	a	DET
ajst-19170	59	13	a	a	DET
ajst-19170	59	14	f	f	NOUN
ajst-19170	59	15	a	a	DET
ajst-19170	59	16	f	f	X
ajst-19170	59	17	a	a	DET
ajst-19170	59	18	f	f	PROPN
ajst-19170	59	19			PROPN
ajst-19170	59	20			PROPN
ajst-19170	59	21			PROPN
ajst-19170	59	22			PROPN
ajst-19170	59	23			PROPN
ajst-19170	59	24			PROPN
ajst-19170	59	25			PROPN
ajst-19170	59	26			PROPN
ajst-19170	59	27			PROPN
ajst-19170	59	28			PROPN
ajst-19170	59	29			PUNCT
ajst-19170	59	30			PUNCT
ajst-19170	59	31			NUM
ajst-19170	59	32			NUM
ajst-19170	59	33			NUM
ajst-19170	59	34			NUM
ajst-19170	59	35			NUM
ajst-19170	59	36	(	(	PUNCT
ajst-19170	59	37	2	2	NUM
ajst-19170	59	38	)	)	PUNCT
ajst-19170	59	39	where	where	SCONJ
ajst-19170	59	40	𝑎	𝑎	X
ajst-19170	59	41	,	,	PUNCT
ajst-19170	59	42	𝑎	𝑎	NOUN
ajst-19170	59	43	,	,	PUNCT
ajst-19170	59	44	𝑎	𝑎	NOUN
ajst-19170	59	45	,	,	PUNCT
ajst-19170	59	46	and	and	CCONJ
ajst-19170	59	47	𝑎	𝑎	NOUN
ajst-19170	59	48	are	be	AUX
ajst-19170	59	49	the	the	DET
ajst-19170	59	50	annual	annual	ADJ
ajst-19170	59	51	,	,	PUNCT
ajst-19170	59	52	semi	semi	ADJ
ajst-19170	59	53	-	-	ADJ
ajst-19170	59	54	annual	annual	ADJ
ajst-19170	59	55	,	,	PUNCT
ajst-19170	59	56	and	and	CCONJ
ajst-19170	59	57	quarterly	quarterly	ADJ
ajst-19170	59	58	mean	mean	NOUN
ajst-19170	59	59	amplitudes	amplitude	NOUN
ajst-19170	59	60	,	,	PUNCT
ajst-19170	59	61	respectively	respectively	ADV
ajst-19170	59	62	,	,	PUNCT
ajst-19170	59	63	t	t	PROPN
ajst-19170	59	64	is	be	AUX
ajst-19170	59	65	the	the	DET
ajst-19170	59	66	modified	modify	VERB
ajst-19170	59	67	julian	julian	PROPN
ajst-19170	59	68	date	date	PROPN
ajst-19170	59	69	(	(	PUNCT
ajst-19170	59	70	mjd	mjd	PROPN
ajst-19170	59	71	)	)	PUNCT
ajst-19170	59	72	,	,	PUNCT
ajst-19170	59	73	𝑡	𝑡	PROPN
ajst-19170	59	74	is	be	AUX
ajst-19170	59	75	the	the	DET
ajst-19170	59	76	mjd	mjd	NOUN
ajst-19170	59	77	of	of	ADP
ajst-19170	59	78	the	the	DET
ajst-19170	59	79	first	first	ADJ
ajst-19170	59	80	observation	observation	NOUN
ajst-19170	59	81	,	,	PUNCT
ajst-19170	59	82	and	and	CCONJ
ajst-19170	59	83	𝑓	𝑓	PRON
ajst-19170	59	84	,	,	PUNCT
ajst-19170	59	85	𝑓	𝑓	X
ajst-19170	59	86	,	,	PUNCT
ajst-19170	59	87	and	and	CCONJ
ajst-19170	59	88	𝑓	𝑓	PRON
ajst-19170	59	89	are	be	AUX
ajst-19170	59	90	the	the	DET
ajst-19170	59	91	annual	annual	ADJ
ajst-19170	59	92	,	,	PUNCT
ajst-19170	59	93	semi	semi	ADJ
ajst-19170	59	94	-	-	ADJ
ajst-19170	59	95	annual	annual	ADJ
ajst-19170	59	96	,	,	PUNCT
ajst-19170	59	97	and	and	CCONJ
ajst-19170	59	98	quarterly	quarterly	ADJ
ajst-19170	59	99	165	165	NUM
ajst-19170	59	100	initial	initial	ADJ
ajst-19170	59	101	values	value	NOUN
ajst-19170	59	102	,	,	PUNCT
ajst-19170	59	103	respectively	respectively	ADV
ajst-19170	59	104	.	.	PUNCT
ajst-19170	60	1	2.4	2.4	NUM
ajst-19170	60	2	.	.	PUNCT
ajst-19170	60	3	methodology	methodology	NOUN
ajst-19170	60	4	due	due	ADP
ajst-19170	60	5	to	to	ADP
ajst-19170	60	6	the	the	DET
ajst-19170	60	7	different	different	ADJ
ajst-19170	60	8	elevation	elevation	NOUN
ajst-19170	60	9	systems	system	NOUN
ajst-19170	60	10	used	use	VERB
ajst-19170	60	11	by	by	ADP
ajst-19170	60	12	the	the	DET
ajst-19170	60	13	models	model	NOUN
ajst-19170	60	14	,	,	PUNCT
ajst-19170	60	15	it	it	PRON
ajst-19170	60	16	is	be	AUX
ajst-19170	60	17	important	important	ADJ
ajst-19170	60	18	to	to	PART
ajst-19170	60	19	ensure	ensure	VERB
ajst-19170	60	20	uniformity	uniformity	NOUN
ajst-19170	60	21	in	in	ADP
ajst-19170	60	22	the	the	DET
ajst-19170	60	23	calculation	calculation	NOUN
ajst-19170	60	24	process	process	NOUN
ajst-19170	60	25	.	.	PUNCT
ajst-19170	61	1	in	in	ADP
ajst-19170	61	2	this	this	DET
ajst-19170	61	3	study	study	NOUN
ajst-19170	61	4	,	,	PUNCT
ajst-19170	61	5	all	all	DET
ajst-19170	61	6	elevations	elevation	NOUN
ajst-19170	61	7	are	be	AUX
ajst-19170	61	8	converted	convert	VERB
ajst-19170	61	9	to	to	ADP
ajst-19170	61	10	geopotential	geopotential	ADJ
ajst-19170	61	11	height	height	NOUN
ajst-19170	61	12	.	.	PUNCT
ajst-19170	62	1	the	the	DET
ajst-19170	62	2	formula	formula	NOUN
ajst-19170	62	3	for	for	ADP
ajst-19170	62	4	the	the	DET
ajst-19170	62	5	standardized	standardized	ADJ
ajst-19170	62	6	elevation	elevation	NOUN
ajst-19170	62	7	calculation	calculation	NOUN
ajst-19170	62	8	is	be	AUX
ajst-19170	62	9	as	as	SCONJ
ajst-19170	62	10	follows	follow	VERB
ajst-19170	62	11	:	:	PUNCT
ajst-19170	62	12	era5	era5	PROPN
ajst-19170	62	13	reanalysis	reanalysis	PROPN
ajst-19170	62	14	data	datum	NOUN
ajst-19170	62	15	uses	use	VERB
ajst-19170	62	16	geopotential	geopotential	NOUN
ajst-19170	62	17	which	which	PRON
ajst-19170	62	18	needs	need	VERB
ajst-19170	62	19	to	to	PART
ajst-19170	62	20	be	be	AUX
ajst-19170	62	21	converted	convert	VERB
ajst-19170	62	22	into	into	ADP
ajst-19170	62	23	geopotential	geopotential	ADJ
ajst-19170	62	24	height	height	NOUN
ajst-19170	62	25	using	use	VERB
ajst-19170	62	26	equation	equation	NOUN
ajst-19170	62	27	(	(	PUNCT
ajst-19170	62	28	3	3	NUM
ajst-19170	62	29	)	)	PUNCT
ajst-19170	62	30	,	,	PUNCT
ajst-19170	62	31	which	which	PRON
ajst-19170	62	32	is	be	AUX
ajst-19170	62	33	provided	provide	VERB
ajst-19170	62	34	below	below	ADP
ajst-19170	62	35	:	:	PUNCT
ajst-19170	62	36	/gph	/gph	PROPN
ajst-19170	62	37	gp	gp	NOUN
ajst-19170	62	38	g	g	PROPN
ajst-19170	62	39	(	(	PUNCT
ajst-19170	62	40	3	3	NUM
ajst-19170	62	41	)	)	PUNCT
ajst-19170	62	42	where	where	SCONJ
ajst-19170	62	43	gph	gph	NOUN
ajst-19170	62	44	is	be	AUX
ajst-19170	62	45	the	the	DET
ajst-19170	62	46	geopotential	geopotential	ADJ
ajst-19170	62	47	height	height	NOUN
ajst-19170	62	48	,	,	PUNCT
ajst-19170	62	49	gp	gp	NOUN
ajst-19170	62	50	is	be	AUX
ajst-19170	62	51	the	the	DET
ajst-19170	62	52	geopotential	geopotential	NOUN
ajst-19170	62	53	,	,	PUNCT
ajst-19170	62	54	and	and	CCONJ
ajst-19170	62	55	g	g	NOUN
ajst-19170	62	56	is	be	AUX
ajst-19170	62	57	the	the	DET
ajst-19170	62	58	gravitational	gravitational	ADJ
ajst-19170	62	59	acceleration	acceleration	NOUN
ajst-19170	62	60	,	,	PUNCT
ajst-19170	62	61	taken	take	VERB
ajst-19170	62	62	as	as	ADP
ajst-19170	62	63	a	a	DET
ajst-19170	62	64	constant	constant	ADJ
ajst-19170	62	65	9.80665	9.80665	NUM
ajst-19170	62	66	m	m	NOUN
ajst-19170	62	67	/	/	SYM
ajst-19170	62	68	s	s	VERB
ajst-19170	62	69	the	the	DET
ajst-19170	62	70	gpt3	gpt3	NOUN
ajst-19170	62	71	model	model	NOUN
ajst-19170	62	72	uses	use	VERB
ajst-19170	62	73	ellipsoidal	ellipsoidal	ADJ
ajst-19170	62	74	height	height	NOUN
ajst-19170	62	75	,	,	PUNCT
ajst-19170	62	76	which	which	PRON
ajst-19170	62	77	should	should	AUX
ajst-19170	62	78	be	be	AUX
ajst-19170	62	79	converted	convert	VERB
ajst-19170	62	80	to	to	ADP
ajst-19170	62	81	orthometric	orthometric	ADJ
ajst-19170	62	82	height	height	NOUN
ajst-19170	62	83	using	use	VERB
ajst-19170	62	84	equation	equation	NOUN
ajst-19170	62	85	(	(	PUNCT
ajst-19170	62	86	4	4	NUM
ajst-19170	62	87	)	)	PUNCT
ajst-19170	62	88	,	,	PUNCT
ajst-19170	62	89	which	which	PRON
ajst-19170	62	90	is	be	AUX
ajst-19170	62	91	as	as	SCONJ
ajst-19170	62	92	follows	follow	VERB
ajst-19170	62	93	:	:	PUNCT
ajst-19170	62	94	h	h	NOUN
ajst-19170	62	95	h	h	NOUN
ajst-19170	62	96	n	n	NOUN
ajst-19170	62	97	正	正	NOUN
ajst-19170	62	98	(	(	PUNCT
ajst-19170	62	99	4	4	NUM
ajst-19170	62	100	)	)	PUNCT
ajst-19170	62	101	in	in	ADP
ajst-19170	62	102	this	this	DET
ajst-19170	62	103	context	context	NOUN
ajst-19170	62	104	,	,	PUNCT
ajst-19170	62	105	h	h	PROPN
ajst-19170	62	106	refers	refer	VERB
ajst-19170	62	107	to	to	ADP
ajst-19170	62	108	the	the	DET
ajst-19170	62	109	gnss	gnss	NOUN
ajst-19170	62	110	ellipsoidal	ellipsoidal	ADJ
ajst-19170	62	111	height	height	NOUN
ajst-19170	62	112	,	,	PUNCT
ajst-19170	62	113	𝐻正	𝐻正	PROPN
ajst-19170	62	114	indicates	indicate	VERB
ajst-19170	62	115	the	the	DET
ajst-19170	62	116	orthometric	orthometric	ADJ
ajst-19170	62	117	height	height	NOUN
ajst-19170	62	118	,	,	PUNCT
ajst-19170	62	119	and	and	CCONJ
ajst-19170	62	120	n	n	PRON
ajst-19170	62	121	signifies	signify	VERB
ajst-19170	62	122	the	the	DET
ajst-19170	62	123	geoid	geoid	ADJ
ajst-19170	62	124	undulation	undulation	NOUN
ajst-19170	62	125	.	.	PUNCT
ajst-19170	63	1	the	the	DET
ajst-19170	63	2	geoid	geoid	ADJ
ajst-19170	63	3	undulation	undulation	NOUN
ajst-19170	63	4	n	n	CCONJ
ajst-19170	63	5	is	be	AUX
ajst-19170	63	6	often	often	ADV
ajst-19170	63	7	computed	compute	VERB
ajst-19170	63	8	using	use	VERB
ajst-19170	63	9	the	the	DET
ajst-19170	63	10	egm2008	egm2008	NOUN
ajst-19170	63	11	(	(	PUNCT
ajst-19170	63	12	earth	earth	NOUN
ajst-19170	63	13	gravitational	gravitational	ADJ
ajst-19170	63	14	model	model	NOUN
ajst-19170	63	15	2008	2008	NUM
ajst-19170	63	16	)	)	PUNCT
ajst-19170	63	17	model	model	NOUN
ajst-19170	63	18	released	release	VERB
ajst-19170	63	19	by	by	ADP
ajst-19170	63	20	the	the	DET
ajst-19170	63	21	national	national	PROPN
ajst-19170	63	22	geospatial	geospatial	PROPN
ajst-19170	63	23	intelligence	intelligence	PROPN
ajst-19170	63	24	agency	agency	PROPN
ajst-19170	63	25	(	(	PUNCT
ajst-19170	63	26	nga	nga	NOUN
ajst-19170	63	27	)	)	PUNCT
ajst-19170	63	28	of	of	ADP
ajst-19170	63	29	the	the	DET
ajst-19170	63	30	united	united	PROPN
ajst-19170	63	31	states	states	PROPN
ajst-19170	63	32	.	.	PUNCT
ajst-19170	64	1	furthermore	furthermore	ADV
ajst-19170	64	2	,	,	PUNCT
ajst-19170	64	3	the	the	DET
ajst-19170	64	4	nga	nga	NOUN
ajst-19170	64	5	provides	provide	VERB
ajst-19170	64	6	an	an	DET
ajst-19170	64	7	executable	executable	ADJ
ajst-19170	64	8	program	program	NOUN
ajst-19170	64	9	,	,	PUNCT
ajst-19170	64	10	"	"	PUNCT
ajst-19170	64	11	hsynth_wgs84.exe	hsynth_wgs84.exe	PROPN
ajst-19170	64	12	,	,	PUNCT
ajst-19170	64	13	"	"	PUNCT
ajst-19170	64	14	which	which	PRON
ajst-19170	64	15	facilitates	facilitate	VERB
ajst-19170	64	16	the	the	DET
ajst-19170	64	17	calculation	calculation	NOUN
ajst-19170	64	18	of	of	ADP
ajst-19170	64	19	the	the	DET
ajst-19170	64	20	geoid	geoid	ADJ
ajst-19170	64	21	undulation	undulation	NOUN
ajst-19170	64	22	n.	n.	PROPN
ajst-19170	64	23	this	this	DET
ajst-19170	64	24	program	program	NOUN
ajst-19170	64	25	can	can	AUX
ajst-19170	64	26	determine	determine	VERB
ajst-19170	64	27	the	the	DET
ajst-19170	64	28	geoid	geoid	ADJ
ajst-19170	64	29	undulation	undulation	NOUN
ajst-19170	64	30	n	n	CCONJ
ajst-19170	64	31	at	at	ADP
ajst-19170	64	32	a	a	DET
ajst-19170	64	33	specific	specific	ADJ
ajst-19170	64	34	location	location	NOUN
ajst-19170	64	35	based	base	VERB
ajst-19170	64	36	on	on	ADP
ajst-19170	64	37	the	the	DET
ajst-19170	64	38	latitude	latitude	NOUN
ajst-19170	64	39	and	and	CCONJ
ajst-19170	64	40	longitude	longitude	ADJ
ajst-19170	64	41	information	information	NOUN
ajst-19170	64	42	of	of	ADP
ajst-19170	64	43	the	the	DET
ajst-19170	64	44	site	site	NOUN
ajst-19170	64	45	.	.	PUNCT
ajst-19170	65	1	to	to	PART
ajst-19170	65	2	convert	convert	VERB
ajst-19170	65	3	geopotential	geopotential	ADJ
ajst-19170	65	4	height	height	NOUN
ajst-19170	65	5	to	to	PART
ajst-19170	65	6	altitude	altitude	VERB
ajst-19170	65	7	,	,	PUNCT
ajst-19170	65	8	we	we	PRON
ajst-19170	65	9	use	use	VERB
ajst-19170	65	10	equation	equation	NOUN
ajst-19170	65	11	(	(	PUNCT
ajst-19170	65	12	5	5	NUM
ajst-19170	65	13	)	)	PUNCT
ajst-19170	65	14	,	,	PUNCT
ajst-19170	65	15	which	which	PRON
ajst-19170	65	16	is	be	AUX
ajst-19170	65	17	as	as	SCONJ
ajst-19170	65	18	follows	follow	VERB
ajst-19170	65	19	:	:	PUNCT
ajst-19170	65	20	0	0	PUNCT
ajst-19170	65	21	(	(	PUNCT
ajst-19170	65	22	)	)	PUNCT
ajst-19170	65	23	s	s	VERB
ajst-19170	65	24	g	g	PROPN
ajst-19170	65	25	s	s	PROPN
ajst-19170	65	26	g	g	NOUN
ajst-19170	65	27	r	r	NOUN
ajst-19170	65	28	h	h	NOUN
ajst-19170	65	29	h	h	NOUN
ajst-19170	65	30	g	g	NOUN
ajst-19170	65	31	r	r	NOUN
ajst-19170	65	32	h	h	NOUN
ajst-19170	65	33			ADJ
ajst-19170	65	34			PROPN
ajst-19170	65	35			PROPN
ajst-19170	65	36			PROPN
ajst-19170	65	37			ADV
ajst-19170	65	38			NUM
ajst-19170	65	39			NUM
ajst-19170	65	40	(	(	PUNCT
ajst-19170	65	41	5	5	NUM
ajst-19170	65	42	)	)	PUNCT
ajst-19170	65	43	where	where	SCONJ
ajst-19170	65	44	𝐻	𝐻	PROPN
ajst-19170	65	45	is	be	AUX
ajst-19170	65	46	the	the	DET
ajst-19170	65	47	orthometric	orthometric	ADJ
ajst-19170	65	48	height	height	NOUN
ajst-19170	65	49	,	,	PUNCT
ajst-19170	65	50	𝑔	𝑔	PROPN
ajst-19170	65	51	and	and	CCONJ
ajst-19170	65	52	𝑔	𝑔	PROPN
ajst-19170	65	53	are	be	AUX
ajst-19170	65	54	the	the	DET
ajst-19170	65	55	normal	normal	ADJ
ajst-19170	65	56	gravitational	gravitational	ADJ
ajst-19170	65	57	acceleration	acceleration	NOUN
ajst-19170	65	58	at	at	ADP
ajst-19170	65	59	latitude	latitude	NOUN
ajst-19170	65	60	φ	φ	PROPN
ajst-19170	65	61	and	and	CCONJ
ajst-19170	65	62	45	45	NUM
ajst-19170	65	63	°	°	NOUN
ajst-19170	65	64	,	,	PUNCT
ajst-19170	65	65	respectively	respectively	ADV
ajst-19170	65	66	,	,	PUNCT
ajst-19170	65	67	and	and	CCONJ
ajst-19170	65	68	𝑅	𝑅	PROPN
ajst-19170	65	69	is	be	AUX
ajst-19170	65	70	the	the	DET
ajst-19170	65	71	effective	effective	ADJ
ajst-19170	65	72	radius	radius	NOUN
ajst-19170	65	73	of	of	ADP
ajst-19170	65	74	the	the	DET
ajst-19170	65	75	earth	earth	NOUN
ajst-19170	65	76	at	at	ADP
ajst-19170	65	77	latitude	latitude	NOUN
ajst-19170	65	78	φ	φ	PROPN
ajst-19170	65	79	.	.	PUNCT
ajst-19170	66	1	𝑔	𝑔	PROPN
ajst-19170	66	2	takes	take	VERB
ajst-19170	66	3	the	the	DET
ajst-19170	66	4	value	value	NOUN
ajst-19170	66	5	of	of	ADP
ajst-19170	66	6	the	the	DET
ajst-19170	66	7	constant	constant	ADJ
ajst-19170	66	8	9.80665	9.80665	NUM
ajst-19170	66	9	,	,	PUNCT
ajst-19170	66	10	and	and	CCONJ
ajst-19170	66	11	𝑔	𝑔	PROPN
ajst-19170	66	12	and	and	CCONJ
ajst-19170	66	13	𝑅	𝑅	PROPN
ajst-19170	66	14	can	can	AUX
ajst-19170	66	15	be	be	AUX
ajst-19170	66	16	computed	compute	VERB
ajst-19170	66	17	by	by	ADP
ajst-19170	66	18	equation	equation	NOUN
ajst-19170	66	19	(	(	PUNCT
ajst-19170	66	20	6	6	NUM
ajst-19170	66	21	)	)	PUNCT
ajst-19170	66	22	and	and	CCONJ
ajst-19170	66	23	equation	equation	NOUN
ajst-19170	66	24	(	(	PUNCT
ajst-19170	66	25	7	7	NUM
ajst-19170	66	26	):	):	PUNCT
ajst-19170	66	27			NOUN
ajst-19170	66	28			PROPN
ajst-19170	66	29	0.52	0.52	NUM
ajst-19170	66	30	2	2	NUM
ajst-19170	66	31	1	1	NUM
ajst-19170	66	32	0.00193185	0.00193185	NUM
ajst-19170	66	33	sin	sin	NOUN
ajst-19170	66	34	9.780325	9.780325	NUM
ajst-19170	66	35	1	1	NUM
ajst-19170	66	36	0.00669435	0.00669435	NUM
ajst-19170	66	37	sin	sin	NOUN
ajst-19170	66	38	(	(	PUNCT
ajst-19170	66	39	)	)	PUNCT
ajst-19170	66	40	g	g	X
ajst-19170	67	1			PROPN
ajst-19170	67	2			PROPN
ajst-19170	67	3			PROPN
ajst-19170	67	4			SYM
ajst-19170	67	5			PROPN
ajst-19170	67	6			NOUN
ajst-19170	67	7			PROPN
ajst-19170	67	8			PROPN
ajst-19170	67	9			NUM
ajst-19170	67	10			NUM
ajst-19170	67	11			NUM
ajst-19170	67	12	(	(	PUNCT
ajst-19170	67	13	6	6	NUM
ajst-19170	67	14	)	)	PUNCT
ajst-19170	67	15			NOUN
ajst-19170	67	16	2	2	ADP
ajst-19170	67	17	6378.137	6378.137	PROPN
ajst-19170	67	18	1.006803	1.006803	NUM
ajst-19170	67	19	0.006706	0.006706	NUM
ajst-19170	67	20	sin	sin	NOUN
ajst-19170	67	21	r	r	NUM
ajst-19170	67	22			PROPN
ajst-19170	67	23			PROPN
ajst-19170	67	24			PROPN
ajst-19170	67	25			NUM
ajst-19170	67	26	(	(	PUNCT
ajst-19170	67	27	7	7	X
ajst-19170	67	28	)	)	PUNCT
ajst-19170	67	29	the	the	DET
ajst-19170	67	30	geopotential	geopotential	ADJ
ajst-19170	67	31	height	height	NOUN
ajst-19170	67	32	of	of	ADP
ajst-19170	67	33	era5	era5	PROPN
ajst-19170	67	34	reanalysis	reanalysis	PROPN
ajst-19170	67	35	data	datum	NOUN
ajst-19170	67	36	is	be	AUX
ajst-19170	67	37	not	not	PART
ajst-19170	67	38	coincident	coincident	ADJ
ajst-19170	67	39	with	with	ADP
ajst-19170	67	40	the	the	DET
ajst-19170	67	41	ground	ground	NOUN
ajst-19170	67	42	,	,	PUNCT
ajst-19170	67	43	but	but	CCONJ
ajst-19170	67	44	has	have	VERB
ajst-19170	67	45	a	a	DET
ajst-19170	67	46	vertical	vertical	ADJ
ajst-19170	67	47	distance	distance	NOUN
ajst-19170	67	48	gap	gap	NOUN
ajst-19170	67	49	.	.	PUNCT
ajst-19170	68	1	in	in	ADP
ajst-19170	68	2	order	order	NOUN
ajst-19170	68	3	to	to	PART
ajst-19170	68	4	assess	assess	VERB
ajst-19170	68	5	the	the	DET
ajst-19170	68	6	accuracy	accuracy	NOUN
ajst-19170	68	7	of	of	ADP
ajst-19170	68	8	the	the	DET
ajst-19170	68	9	hgpt2	hgpt2	NOUN
ajst-19170	68	10	and	and	CCONJ
ajst-19170	68	11	gpt3	gpt3	NOUN
ajst-19170	68	12	models	model	NOUN
ajst-19170	68	13	in	in	ADP
ajst-19170	68	14	calculating	calculate	VERB
ajst-19170	68	15	surface	surface	NOUN
ajst-19170	68	16	air	air	NOUN
ajst-19170	68	17	pressure	pressure	NOUN
ajst-19170	68	18	,	,	PUNCT
ajst-19170	68	19	this	this	DET
ajst-19170	68	20	study	study	NOUN
ajst-19170	68	21	corrects	correct	VERB
ajst-19170	68	22	the	the	DET
ajst-19170	68	23	meteorological	meteorological	ADJ
ajst-19170	68	24	data	datum	NOUN
ajst-19170	68	25	of	of	ADP
ajst-19170	68	26	the	the	DET
ajst-19170	68	27	pressure	pressure	NOUN
ajst-19170	68	28	layer	layer	NOUN
ajst-19170	68	29	to	to	ADP
ajst-19170	68	30	the	the	DET
ajst-19170	68	31	ground	ground	NOUN
ajst-19170	68	32	by	by	ADP
ajst-19170	68	33	vertical	vertical	ADJ
ajst-19170	68	34	interpolation	interpolation	NOUN
ajst-19170	68	35	.	.	PUNCT
ajst-19170	69	1	formula	formula	NOUN
ajst-19170	69	2	(	(	PUNCT
ajst-19170	69	3	8)	8)	NUM
ajst-19170	69	4	represents	represent	VERB
ajst-19170	69	5	the	the	DET
ajst-19170	69	6	vertical	vertical	ADJ
ajst-19170	69	7	interpolation	interpolation	NOUN
ajst-19170	69	8	formula	formula	NOUN
ajst-19170	69	9	for	for	ADP
ajst-19170	69	10	air	air	NOUN
ajst-19170	69	11	pressure	pressure	NOUN
ajst-19170	69	12	,	,	PUNCT
ajst-19170	69	13	and	and	CCONJ
ajst-19170	69	14	formula	formula	NOUN
ajst-19170	69	15	(	(	PUNCT
ajst-19170	69	16	9	9	NUM
ajst-19170	69	17	)	)	PUNCT
ajst-19170	69	18	calculates	calculate	VERB
ajst-19170	69	19	the	the	DET
ajst-19170	69	20	gravity	gravity	NOUN
ajst-19170	69	21	value	value	NOUN
ajst-19170	69	22	at	at	ADP
ajst-19170	69	23	that	that	DET
ajst-19170	69	24	point	point	NOUN
ajst-19170	69	25	.	.	PUNCT
ajst-19170	70	1	(	(	PUNCT
ajst-19170	70	2	wang	wang	PROPN
ajst-19170	70	3	et	et	PROPN
ajst-19170	70	4	al	al	PROPN
ajst-19170	70	5	.	.	PROPN
ajst-19170	70	6	,	,	PUNCT
ajst-19170	70	7	2017	2017	NUM
ajst-19170	70	8	)	)	PUNCT
ajst-19170	70	9	.	.	PUNCT
ajst-19170	71	1	(	(	PUNCT
ajst-19170	71	2	)	)	PUNCT
ajst-19170	71	3	[	[	PUNCT
ajst-19170	71	4	]	]	X
ajst-19170	71	5	g	g	X
ajst-19170	71	6	m	m	PROPN
ajst-19170	71	7	re	re	NOUN
ajst-19170	71	8	s	s	X
ajst-19170	71	9	e	e	X
ajst-19170	71	10	e	e	X
ajst-19170	71	11	e	e	PROPN
ajst-19170	71	12	t	t	PROPN
ajst-19170	71	13	h	h	NOUN
ajst-19170	71	14	h	h	NOUN
ajst-19170	72	1	p	p	PROPN
ajst-19170	72	2	p	p	X
ajst-19170	72	3	t	t	PROPN
ajst-19170	72	4			NOUN
ajst-19170	72	5			PROPN
ajst-19170	72	6			PRON
ajst-19170	72	7			NUM
ajst-19170	72	8			NUM
ajst-19170	72	9	(	(	PUNCT
ajst-19170	72	10	8)	8)	NUM
ajst-19170	72	11			NOUN
ajst-19170	72	12			SYM
ajst-19170	72	13			NOUN
ajst-19170	72	14	7	7	NOUN
ajst-19170	72	15	6	6	NUM
ajst-19170	72	16	29.8063	29.8063	NUM
ajst-19170	72	17	1	1	NUM
ajst-19170	72	18	10	10	NUM
ajst-19170	72	19	1	1	NUM
ajst-19170	72	20	0.0026373	0.0026373	NUM
ajst-19170	72	21	cos	cos	X
ajst-19170	72	22	2	2	NUM
ajst-19170	72	23	5.9	5.9	NUM
ajst-19170	72	24	10	10	NUM
ajst-19170	72	25	cos	cos	NOUN
ajst-19170	72	26	2	2	NUM
ajst-19170	72	27	2	2	NUM
ajst-19170	72	28	e	e	NOUN
ajst-19170	72	29	sh	sh	NOUN
ajst-19170	72	30	h	h	NOUN
ajst-19170	72	31	g	g	PROPN
ajst-19170	72	32			PROPN
ajst-19170	72	33			NOUN
ajst-19170	72	34			PROPN
ajst-19170	72	35			PROPN
ajst-19170	72	36			PROPN
ajst-19170	72	37			PROPN
ajst-19170	72	38			PROPN
ajst-19170	72	39			VERB
ajst-19170	72	40			ADP
ajst-19170	72	41			PROPN
ajst-19170	72	42			PROPN
ajst-19170	72	43			PROPN
ajst-19170	72	44			NUM
ajst-19170	72	45			NUM
ajst-19170	72	46			NUM
ajst-19170	72	47	(	(	PUNCT
ajst-19170	72	48	9	9	NUM
ajst-19170	72	49	)	)	PUNCT
ajst-19170	72	50	where	where	SCONJ
ajst-19170	72	51	𝑃	𝑃	NOUN
ajst-19170	72	52	and	and	CCONJ
ajst-19170	72	53	𝑇	𝑇	PROPN
ajst-19170	72	54	are	be	AUX
ajst-19170	72	55	the	the	DET
ajst-19170	72	56	pressure	pressure	NOUN
ajst-19170	72	57	and	and	CCONJ
ajst-19170	72	58	temperature	temperature	NOUN
ajst-19170	72	59	at	at	ADP
ajst-19170	72	60	the	the	DET
ajst-19170	72	61	grid	grid	NOUN
ajst-19170	72	62	point	point	NOUN
ajst-19170	72	63	,	,	PUNCT
ajst-19170	72	64	𝐻	𝐻	PROPN
ajst-19170	72	65	and	and	CCONJ
ajst-19170	72	66	𝐻	𝐻	PROPN
ajst-19170	72	67	are	be	AUX
ajst-19170	72	68	the	the	DET
ajst-19170	72	69	height	height	NOUN
ajst-19170	72	70	and	and	CCONJ
ajst-19170	72	71	site	site	NOUN
ajst-19170	72	72	elevation	elevation	NOUN
ajst-19170	72	73	at	at	ADP
ajst-19170	72	74	the	the	DET
ajst-19170	72	75	grid	grid	NOUN
ajst-19170	72	76	point	point	NOUN
ajst-19170	72	77	,	,	PUNCT
ajst-19170	72	78	respectively	respectively	ADV
ajst-19170	72	79	;	;	PUNCT
ajst-19170	72	80	m	m	VERB
ajst-19170	72	81	is	be	AUX
ajst-19170	72	82	the	the	DET
ajst-19170	72	83	molar	molar	ADJ
ajst-19170	72	84	mass	mass	NOUN
ajst-19170	72	85	of	of	ADP
ajst-19170	72	86	dry	dry	ADJ
ajst-19170	72	87	air	air	NOUN
ajst-19170	72	88	,	,	PUNCT
ajst-19170	72	89	with	with	ADP
ajst-19170	72	90	a	a	DET
ajst-19170	72	91	value	value	NOUN
ajst-19170	72	92	of	of	ADP
ajst-19170	72	93	0.0289655	0.0289655	NUM
ajst-19170	72	94	kg	kg	NOUN
ajst-19170	72	95	∙	∙	PROPN
ajst-19170	72	96	mol	mol	ADP
ajst-19170	72	97	;	;	PUNCT
ajst-19170	72	98	r	r	NOUN
ajst-19170	72	99	is	be	AUX
ajst-19170	72	100	the	the	DET
ajst-19170	72	101	ideal	ideal	ADJ
ajst-19170	72	102	atmospheric	atmospheric	ADJ
ajst-19170	72	103	constant	constant	NOUN
ajst-19170	72	104	,	,	PUNCT
ajst-19170	72	105	with	with	ADP
ajst-19170	72	106	a	a	DET
ajst-19170	72	107	value	value	NOUN
ajst-19170	72	108	of	of	ADP
ajst-19170	72	109	8.31432	8.31432	NUM
ajst-19170	72	110	kg	kg	NOUN
ajst-19170	72	111	∙	∙	PROPN
ajst-19170	72	112	mol	mol	ADP
ajst-19170	72	113	;	;	PUNCT
ajst-19170	72	114	and	and	CCONJ
ajst-19170	72	115	γ	γ	X
ajst-19170	72	116	is	be	AUX
ajst-19170	72	117	the	the	DET
ajst-19170	72	118	rate	rate	NOUN
ajst-19170	72	119	of	of	ADP
ajst-19170	72	120	temperature	temperature	NOUN
ajst-19170	72	121	decrease	decrease	NOUN
ajst-19170	72	122	,	,	PUNCT
ajst-19170	72	123	with	with	ADP
ajst-19170	72	124	a	a	DET
ajst-19170	72	125	value	value	NOUN
ajst-19170	72	126	of	of	ADP
ajst-19170	72	127	6.5	6.5	NUM
ajst-19170	72	128	℃	℃	PROPN
ajst-19170	72	129	/km	/km	PRON
ajst-19170	72	130	.	.	PUNCT
ajst-19170	73	1	when	when	SCONJ
ajst-19170	73	2	the	the	DET
ajst-19170	73	3	meteorological	meteorological	ADJ
ajst-19170	73	4	station	station	NOUN
ajst-19170	73	5	locations	location	NOUN
ajst-19170	73	6	do	do	AUX
ajst-19170	73	7	not	not	PART
ajst-19170	73	8	coincide	coincide	VERB
ajst-19170	73	9	with	with	ADP
ajst-19170	73	10	grid	grid	NOUN
ajst-19170	73	11	points	point	NOUN
ajst-19170	73	12	,	,	PUNCT
ajst-19170	73	13	the	the	DET
ajst-19170	73	14	nearest	near	ADJ
ajst-19170	73	15	four	four	NUM
ajst-19170	73	16	grid	grid	NOUN
ajst-19170	73	17	points	point	NOUN
ajst-19170	73	18	to	to	ADP
ajst-19170	73	19	the	the	DET
ajst-19170	73	20	station	station	NOUN
ajst-19170	73	21	are	be	AUX
ajst-19170	73	22	identified	identify	VERB
ajst-19170	73	23	using	use	VERB
ajst-19170	73	24	inverse	inverse	NOUN
ajst-19170	73	25	distance	distance	NOUN
ajst-19170	73	26	weighted	weight	VERB
ajst-19170	73	27	interpolation	interpolation	NOUN
ajst-19170	73	28	.	.	PUNCT
ajst-19170	74	1	first	first	ADV
ajst-19170	74	2	,	,	PUNCT
ajst-19170	74	3	the	the	DET
ajst-19170	74	4	pressure	pressure	NOUN
ajst-19170	74	5	values	value	NOUN
ajst-19170	74	6	are	be	AUX
ajst-19170	74	7	adjusted	adjust	VERB
ajst-19170	74	8	to	to	ADP
ajst-19170	74	9	the	the	DET
ajst-19170	74	10	station	station	NOUN
ajst-19170	74	11	height	height	NOUN
ajst-19170	74	12	using	use	VERB
ajst-19170	74	13	equations	equation	NOUN
ajst-19170	74	14	(	(	PUNCT
ajst-19170	74	15	8)	8)	NUM
ajst-19170	74	16	and	and	CCONJ
ajst-19170	74	17	(	(	PUNCT
ajst-19170	74	18	9	9	NUM
ajst-19170	74	19	)	)	PUNCT
ajst-19170	74	20	.	.	PUNCT
ajst-19170	75	1	then	then	ADV
ajst-19170	75	2	,	,	PUNCT
ajst-19170	75	3	the	the	DET
ajst-19170	75	4	inverse	inverse	NOUN
ajst-19170	75	5	distance	distance	NOUN
ajst-19170	75	6	weighted	weight	VERB
ajst-19170	75	7	interpolation	interpolation	NOUN
ajst-19170	75	8	is	be	AUX
ajst-19170	75	9	applied	apply	VERB
ajst-19170	75	10	to	to	PART
ajst-19170	75	11	obtain	obtain	VERB
ajst-19170	75	12	the	the	DET
ajst-19170	75	13	pressure	pressure	NOUN
ajst-19170	75	14	value	value	NOUN
ajst-19170	75	15	at	at	ADP
ajst-19170	75	16	the	the	DET
ajst-19170	75	17	station	station	NOUN
ajst-19170	75	18	location	location	NOUN
ajst-19170	75	19	.	.	PUNCT
ajst-19170	76	1	the	the	DET
ajst-19170	76	2	formula	formula	NOUN
ajst-19170	76	3	for	for	ADP
ajst-19170	76	4	inverse	inverse	NOUN
ajst-19170	76	5	distance	distance	NOUN
ajst-19170	76	6	weighted	weight	VERB
ajst-19170	76	7	interpolation	interpolation	NOUN
ajst-19170	76	8	is	be	AUX
ajst-19170	76	9	as	as	SCONJ
ajst-19170	76	10	follows	follow	VERB
ajst-19170	76	11	:	:	PUNCT
ajst-19170	76	12	equation	equation	NOUN
ajst-19170	76	13	(	(	PUNCT
ajst-19170	76	14	10	10	NUM
ajst-19170	76	15	)	)	PUNCT
ajst-19170	76	16	outlines	outline	VERB
ajst-19170	76	17	the	the	DET
ajst-19170	76	18	weighted	weighted	ADJ
ajst-19170	76	19	formula	formula	NOUN
ajst-19170	76	20	used	use	VERB
ajst-19170	76	21	in	in	ADP
ajst-19170	76	22	this	this	DET
ajst-19170	76	23	process	process	NOUN
ajst-19170	76	24	.	.	PUNCT
ajst-19170	77	1	4	4	NUM
ajst-19170	77	2	1	1	NUM
ajst-19170	77	3	s	s	VERB
ajst-19170	77	4	i	i	PRON
ajst-19170	78	1	si	si	INTJ
ajst-19170	79	1	i	i	PRON
ajst-19170	79	2	p	p	PROPN
ajst-19170	80	1	w	w	NOUN
ajst-19170	80	2	p	p	NOUN
ajst-19170	80	3			NUM
ajst-19170	80	4			NUM
ajst-19170	80	5			X
ajst-19170	80	6	(	(	PUNCT
ajst-19170	80	7	10	10	NUM
ajst-19170	80	8	)	)	PUNCT
ajst-19170	80	9	where	where	SCONJ
ajst-19170	80	10	iw	iw	PRON
ajst-19170	80	11	is	be	AUX
ajst-19170	80	12	the	the	DET
ajst-19170	80	13	weighting	weighting	NOUN
ajst-19170	80	14	factor	factor	NOUN
ajst-19170	80	15	,	,	PUNCT
ajst-19170	80	16	which	which	PRON
ajst-19170	80	17	can	can	AUX
ajst-19170	80	18	be	be	AUX
ajst-19170	80	19	calculated	calculate	VERB
ajst-19170	80	20	from	from	ADP
ajst-19170	80	21	equation	equation	NOUN
ajst-19170	80	22	(	(	PUNCT
ajst-19170	80	23	11	11	NUM
ajst-19170	80	24	)	)	SYM
ajst-19170	80	25	1	1	NUM
ajst-19170	80	26	1	1	NUM
ajst-19170	80	27	1	1	NUM
ajst-19170	80	28	1	1	NUM
ajst-19170	80	29	1	1	NUM
ajst-19170	80	30	1	1	NUM
ajst-19170	80	31	2	2	NUM
ajst-19170	80	32	3	3	NUM
ajst-19170	80	33	4	4	NUM
ajst-19170	81	1	i	i	PRON
ajst-19170	81	2	i	i	PRON
ajst-19170	81	3	w	w	VERB
ajst-19170	81	4	w	w	PROPN
ajst-19170	81	5	w	w	PROPN
ajst-19170	81	6	w	w	PROPN
ajst-19170	81	7	w	w	PROPN
ajst-19170	81	8	w	w	PROPN
ajst-19170	81	9			PROPN
ajst-19170	81	10			PROPN
ajst-19170	81	11			PROPN
ajst-19170	81	12			PROPN
ajst-19170	81	13			PROPN
ajst-19170	81	14			PUNCT
ajst-19170	81	15			PROPN
ajst-19170	81	16			X
ajst-19170	81	17	(	(	PUNCT
ajst-19170	81	18	11	11	NUM
ajst-19170	81	19	)	)	PUNCT
ajst-19170	81	20	where	where	SCONJ
ajst-19170	81	21	iw	iw	PRON
ajst-19170	81	22	is	be	AUX
ajst-19170	81	23	the	the	DET
ajst-19170	81	24	ellipsoidal	ellipsoidal	ADJ
ajst-19170	81	25	distance	distance	NOUN
ajst-19170	81	26	from	from	ADP
ajst-19170	81	27	the	the	DET
ajst-19170	81	28	i	i	PROPN
ajst-19170	81	29	-th	-th	NOUN
ajst-19170	81	30	grid	grid	NOUN
ajst-19170	81	31	point	point	NOUN
ajst-19170	81	32	to	to	ADP
ajst-19170	81	33	the	the	DET
ajst-19170	81	34	measurement	measurement	NOUN
ajst-19170	81	35	site	site	NOUN
ajst-19170	81	36	.	.	PUNCT
ajst-19170	82	1	2.5	2.5	NUM
ajst-19170	82	2	.	.	PUNCT
ajst-19170	83	1	evaluation	evaluation	NOUN
ajst-19170	83	2	indicators	indicator	NOUN
ajst-19170	83	3	to	to	PART
ajst-19170	83	4	evaluate	evaluate	VERB
ajst-19170	83	5	the	the	DET
ajst-19170	83	6	performance	performance	NOUN
ajst-19170	83	7	of	of	ADP
ajst-19170	83	8	two	two	NUM
ajst-19170	83	9	models	model	NOUN
ajst-19170	83	10	,	,	PUNCT
ajst-19170	83	11	bias	bias	NOUN
ajst-19170	83	12	and	and	CCONJ
ajst-19170	83	13	root	root	NOUN
ajst-19170	83	14	mean	mean	ADJ
ajst-19170	83	15	square	square	ADJ
ajst-19170	83	16	error	error	NOUN
ajst-19170	83	17	(	(	PUNCT
ajst-19170	83	18	rms	rm	NOUN
ajst-19170	83	19	)	)	PUNCT
ajst-19170	83	20	are	be	AUX
ajst-19170	83	21	used	use	VERB
ajst-19170	83	22	as	as	ADP
ajst-19170	83	23	accuracy	accuracy	NOUN
ajst-19170	83	24	metrics	metric	NOUN
ajst-19170	83	25	.	.	PUNCT
ajst-19170	84	1	bias	bias	NOUN
ajst-19170	84	2	reflects	reflect	VERB
ajst-19170	84	3	the	the	DET
ajst-19170	84	4	deviation	deviation	NOUN
ajst-19170	84	5	between	between	ADP
ajst-19170	84	6	the	the	DET
ajst-19170	84	7	estimated	estimate	VERB
ajst-19170	84	8	values	value	NOUN
ajst-19170	84	9	of	of	ADP
ajst-19170	84	10	the	the	DET
ajst-19170	84	11	model	model	NOUN
ajst-19170	84	12	and	and	CCONJ
ajst-19170	84	13	the	the	DET
ajst-19170	84	14	true	true	ADJ
ajst-19170	84	15	values	value	NOUN
ajst-19170	84	16	,	,	PUNCT
ajst-19170	84	17	while	while	SCONJ
ajst-19170	84	18	rms	rm	NOUN
ajst-19170	84	19	measures	measure	VERB
ajst-19170	84	20	the	the	DET
ajst-19170	84	21	stability	stability	NOUN
ajst-19170	84	22	of	of	ADP
ajst-19170	84	23	the	the	DET
ajst-19170	84	24	model	model	NOUN
ajst-19170	84	25	.	.	PUNCT
ajst-19170	85	1	the	the	DET
ajst-19170	85	2	formulas	formula	NOUN
ajst-19170	85	3	for	for	ADP
ajst-19170	85	4	calculating	calculate	VERB
ajst-19170	85	5	bias	bias	NOUN
ajst-19170	85	6	and	and	CCONJ
ajst-19170	85	7	rms	rm	NOUN
ajst-19170	85	8	are	be	AUX
ajst-19170	85	9	as	as	SCONJ
ajst-19170	85	10	follows	follow	VERB
ajst-19170	85	11	:	:	PUNCT
ajst-19170	85	12	1	1	NUM
ajst-19170	85	13	i	i	PRON
ajst-19170	85	14	n	n	VERB
ajst-19170	86	1	vv	vv	INTJ
ajst-19170	87	1	i	i	PRON
ajst-19170	87	2	d	d	NOUN
ajst-19170	87	3	bias	bias	VERB
ajst-19170	87	4	n	n	CCONJ
ajst-19170	87	5			NUM
ajst-19170	87	6			X
ajst-19170	87	7	(	(	PUNCT
ajst-19170	87	8	12	12	NUM
ajst-19170	87	9	)	)	SYM
ajst-19170	87	10	2	2	NUM
ajst-19170	87	11	1	1	NUM
ajst-19170	88	1	i	i	PRON
ajst-19170	88	2	n	n	VERB
ajst-19170	89	1	vv	vv	INTJ
ajst-19170	90	1	i	i	PRON
ajst-19170	90	2	d	d	NOUN
ajst-19170	90	3	rms	rm	NOUN
ajst-19170	90	4	n	n	CCONJ
ajst-19170	90	5			NUM
ajst-19170	90	6			X
ajst-19170	90	7	(	(	PUNCT
ajst-19170	90	8	13	13	NUM
ajst-19170	90	9	)	)	PUNCT
ajst-19170	90	10	where	where	SCONJ
ajst-19170	90	11	v	v	NOUN
ajst-19170	90	12	is	be	AUX
ajst-19170	90	13	the	the	DET
ajst-19170	90	14	actual	actual	ADJ
ajst-19170	90	15	value	value	NOUN
ajst-19170	90	16	,	,	PUNCT
ajst-19170	90	17	𝑉	𝑉	PROPN
ajst-19170	90	18	is	be	AUX
ajst-19170	90	19	the	the	DET
ajst-19170	90	20	observed	observed	ADJ
ajst-19170	90	21	value	value	NOUN
ajst-19170	90	22	,	,	PUNCT
ajst-19170	90	23	and	and	CCONJ
ajst-19170	90	24	𝑑	𝑑	NOUN
ajst-19170	90	25	is	be	AUX
ajst-19170	90	26	the	the	DET
ajst-19170	90	27	deviation	deviation	NOUN
ajst-19170	90	28	of	of	ADP
ajst-19170	90	29	the	the	DET
ajst-19170	90	30	observed	observe	VERB
ajst-19170	90	31	value	value	NOUN
ajst-19170	90	32	from	from	ADP
ajst-19170	90	33	the	the	DET
ajst-19170	90	34	actual	actual	ADJ
ajst-19170	90	35	166	166	NUM
ajst-19170	90	36	value	value	NOUN
ajst-19170	90	37	n	n	NOUN
ajst-19170	90	38	is	be	AUX
ajst-19170	90	39	the	the	DET
ajst-19170	90	40	number	number	NOUN
ajst-19170	90	41	of	of	ADP
ajst-19170	90	42	observations	observation	NOUN
ajst-19170	90	43	.	.	PUNCT
ajst-19170	91	1	3	3	X
ajst-19170	91	2	.	.	NOUN
ajst-19170	91	3	results	result	NOUN
ajst-19170	91	4	and	and	CCONJ
ajst-19170	91	5	discussion	discussion	NOUN
ajst-19170	91	6	3.1	3.1	NUM
ajst-19170	91	7	.	.	PUNCT
ajst-19170	92	1	accuracy	accuracy	NOUN
ajst-19170	92	2	analysis	analysis	NOUN
ajst-19170	92	3	of	of	ADP
ajst-19170	92	4	two	two	NUM
ajst-19170	92	5	models	model	NOUN
ajst-19170	92	6	in	in	ADP
ajst-19170	92	7	order	order	NOUN
ajst-19170	92	8	to	to	PART
ajst-19170	92	9	comprehensively	comprehensively	ADV
ajst-19170	92	10	reflect	reflect	VERB
ajst-19170	92	11	the	the	DET
ajst-19170	92	12	performance	performance	NOUN
ajst-19170	92	13	of	of	ADP
ajst-19170	92	14	the	the	DET
ajst-19170	92	15	gpt3	gpt3	NOUN
ajst-19170	92	16	model	model	NOUN
ajst-19170	92	17	and	and	CCONJ
ajst-19170	92	18	the	the	DET
ajst-19170	92	19	hgpt2	hgpt2	NOUN
ajst-19170	92	20	model	model	NOUN
ajst-19170	92	21	in	in	ADP
ajst-19170	92	22	the	the	DET
ajst-19170	92	23	chinese	chinese	ADJ
ajst-19170	92	24	region	region	NOUN
ajst-19170	92	25	,	,	PUNCT
ajst-19170	92	26	we	we	PRON
ajst-19170	92	27	randomly	randomly	ADV
ajst-19170	92	28	selected	select	VERB
ajst-19170	92	29	723	723	NUM
ajst-19170	92	30	grid	grid	NOUN
ajst-19170	92	31	points	point	NOUN
ajst-19170	92	32	within	within	ADP
ajst-19170	92	33	the	the	DET
ajst-19170	92	34	chinese	chinese	ADJ
ajst-19170	92	35	area	area	NOUN
ajst-19170	92	36	.	.	PUNCT
ajst-19170	93	1	the	the	DET
ajst-19170	93	2	pressure	pressure	NOUN
ajst-19170	93	3	at	at	ADP
ajst-19170	93	4	each	each	DET
ajst-19170	93	5	grid	grid	NOUN
ajst-19170	93	6	point	point	NOUN
ajst-19170	93	7	was	be	AUX
ajst-19170	93	8	calculated	calculate	VERB
ajst-19170	93	9	using	use	VERB
ajst-19170	93	10	the	the	DET
ajst-19170	93	11	gpt3	gpt3	NOUN
ajst-19170	93	12	model	model	NOUN
ajst-19170	93	13	and	and	CCONJ
ajst-19170	93	14	the	the	DET
ajst-19170	93	15	hgpt2	hgpt2	NOUN
ajst-19170	93	16	model	model	NOUN
ajst-19170	93	17	respectively	respectively	ADV
ajst-19170	93	18	,	,	PUNCT
ajst-19170	93	19	and	and	CCONJ
ajst-19170	93	20	compared	compare	VERB
ajst-19170	93	21	with	with	ADP
ajst-19170	93	22	the	the	DET
ajst-19170	93	23	pressure	pressure	NOUN
ajst-19170	93	24	provided	provide	VERB
ajst-19170	93	25	by	by	ADP
ajst-19170	93	26	era5	era5	PROPN
ajst-19170	93	27	.	.	PUNCT
ajst-19170	94	1	we	we	PRON
ajst-19170	94	2	calculated	calculate	VERB
ajst-19170	94	3	their	their	PRON
ajst-19170	94	4	bias	bias	NOUN
ajst-19170	94	5	and	and	CCONJ
ajst-19170	94	6	rms	rm	NOUN
ajst-19170	94	7	,	,	PUNCT
ajst-19170	94	8	and	and	CCONJ
ajst-19170	94	9	the	the	DET
ajst-19170	94	10	results	result	NOUN
ajst-19170	94	11	are	be	AUX
ajst-19170	94	12	shown	show	VERB
ajst-19170	94	13	in	in	ADP
ajst-19170	94	14	figure	figure	NOUN
ajst-19170	94	15	2	2	NUM
ajst-19170	94	16	.	.	PUNCT
ajst-19170	94	17	(	(	PUNCT
ajst-19170	94	18	a)bias	a)bias	PROPN
ajst-19170	94	19	(	(	PUNCT
ajst-19170	94	20	b)rms	b)rm	NOUN
ajst-19170	94	21	figure	figure	NOUN
ajst-19170	94	22	.	.	PUNCT
ajst-19170	95	1	2	2	X
ajst-19170	95	2	.	.	X
ajst-19170	95	3	shows	show	VERB
ajst-19170	95	4	the	the	DET
ajst-19170	95	5	bias	bias	NOUN
ajst-19170	95	6	and	and	CCONJ
ajst-19170	95	7	rms	rm	NOUN
ajst-19170	95	8	for	for	ADP
ajst-19170	95	9	gpt3(left	gpt3(left	ADJ
ajst-19170	95	10	)	)	PUNCT
ajst-19170	95	11	and	and	CCONJ
ajst-19170	95	12	hgpt2	hgpt2	NOUN
ajst-19170	95	13	(	(	PUNCT
ajst-19170	95	14	right	right	ADJ
ajst-19170	95	15	)	)	PUNCT
ajst-19170	95	16	in	in	ADP
ajst-19170	95	17	china	china	PROPN
ajst-19170	95	18	table	table	NOUN
ajst-19170	95	19	.	.	PUNCT
ajst-19170	96	1	1	1	X
ajst-19170	96	2	.	.	X
ajst-19170	96	3	comparison	comparison	NOUN
ajst-19170	96	4	of	of	ADP
ajst-19170	96	5	accuracy	accuracy	NOUN
ajst-19170	96	6	of	of	ADP
ajst-19170	96	7	pressures	pressure	NOUN
ajst-19170	96	8	calculated	calculate	VERB
ajst-19170	96	9	by	by	ADP
ajst-19170	96	10	gpt3	gpt3	NOUN
ajst-19170	96	11	model	model	NOUN
ajst-19170	96	12	and	and	CCONJ
ajst-19170	96	13	hgpt2	hgpt2	NOUN
ajst-19170	96	14	model	model	PROPN
ajst-19170	96	15	gpt3	gpt3	PROPN
ajst-19170	96	16	/	/	SYM
ajst-19170	96	17	hpa	hpa	NOUN
ajst-19170	96	18	hgpt2	hgpt2	NOUN
ajst-19170	96	19	/	/	SYM
ajst-19170	96	20	hpa	hpa	NOUN
ajst-19170	96	21	bias	bias	NOUN
ajst-19170	96	22	(	(	PUNCT
ajst-19170	96	23	max	max	PROPN
ajst-19170	96	24	,	,	PUNCT
ajst-19170	96	25	mean	mean	NOUN
ajst-19170	96	26	,	,	PUNCT
ajst-19170	96	27	min	min	NOUN
ajst-19170	96	28	)	)	PUNCT
ajst-19170	97	1	[	[	X
ajst-19170	97	2	-6.87,-2.09,0.01	-6.87,-2.09,0.01	X
ajst-19170	97	3	]	]	X
ajst-19170	98	1	[	[	X
ajst-19170	98	2	-12.97,-0.54,0.001	-12.97,-0.54,0.001	X
ajst-19170	98	3	]	]	X
ajst-19170	98	4	rms	rm	NOUN
ajst-19170	98	5	(	(	PUNCT
ajst-19170	98	6	max	max	PROPN
ajst-19170	98	7	,	,	PUNCT
ajst-19170	98	8	mean	mean	NOUN
ajst-19170	98	9	,	,	PUNCT
ajst-19170	98	10	min	min	NOUN
ajst-19170	98	11	)	)	PUNCT
ajst-19170	98	12	[	[	PUNCT
ajst-19170	98	13	9.08,4.91	9.08,4.91	NOUN
ajst-19170	98	14	,	,	PUNCT
ajst-19170	98	15	1.94	1.94	NUM
ajst-19170	98	16	]	]	PUNCT
ajst-19170	99	1	[	[	X
ajst-19170	99	2	13.04	13.04	NUM
ajst-19170	99	3	,	,	PUNCT
ajst-19170	99	4	4.42	4.42	NUM
ajst-19170	99	5	,	,	PUNCT
ajst-19170	99	6	1.81	1.81	NUM
ajst-19170	99	7	]	]	PUNCT
ajst-19170	99	8	from	from	ADP
ajst-19170	99	9	figure	figure	NOUN
ajst-19170	99	10	2	2	NUM
ajst-19170	99	11	,	,	PUNCT
ajst-19170	99	12	it	it	PRON
ajst-19170	99	13	can	can	AUX
ajst-19170	99	14	be	be	AUX
ajst-19170	99	15	seen	see	VERB
ajst-19170	99	16	that	that	SCONJ
ajst-19170	99	17	in	in	ADP
ajst-19170	99	18	the	the	DET
ajst-19170	99	19	china	china	PROPN
ajst-19170	99	20	region	region	NOUN
ajst-19170	99	21	,	,	PUNCT
ajst-19170	99	22	as	as	SCONJ
ajst-19170	99	23	compared	compare	VERB
ajst-19170	99	24	to	to	ADP
ajst-19170	99	25	the	the	DET
ajst-19170	99	26	era5	era5	PROPN
ajst-19170	99	27	data	data	PROPN
ajst-19170	99	28	,	,	PUNCT
ajst-19170	99	29	the	the	DET
ajst-19170	99	30	hgpt2	hgpt2	NOUN
ajst-19170	99	31	model	model	NOUN
ajst-19170	99	32	can	can	AUX
ajst-19170	99	33	better	well	ADV
ajst-19170	99	34	simulate	simulate	VERB
ajst-19170	99	35	the	the	DET
ajst-19170	99	36	spatiotemporal	spatiotemporal	ADJ
ajst-19170	99	37	variation	variation	NOUN
ajst-19170	99	38	patterns	pattern	NOUN
ajst-19170	99	39	of	of	ADP
ajst-19170	99	40	atmospheric	atmospheric	ADJ
ajst-19170	99	41	pressure	pressure	NOUN
ajst-19170	99	42	,	,	PUNCT
ajst-19170	99	43	showing	show	VERB
ajst-19170	99	44	better	well	ADJ
ajst-19170	99	45	performance	performance	NOUN
ajst-19170	99	46	.	.	PUNCT
ajst-19170	100	1	the	the	DET
ajst-19170	100	2	calculated	calculated	ADJ
ajst-19170	100	3	precision	precision	NOUN
ajst-19170	100	4	of	of	ADP
ajst-19170	100	5	atmospheric	atmospheric	ADJ
ajst-19170	100	6	pressure	pressure	NOUN
ajst-19170	100	7	is	be	AUX
ajst-19170	100	8	superior	superior	ADJ
ajst-19170	100	9	to	to	ADP
ajst-19170	100	10	that	that	PRON
ajst-19170	100	11	of	of	ADP
ajst-19170	100	12	the	the	DET
ajst-19170	100	13	gpt3	gpt3	NOUN
ajst-19170	100	14	model	model	NOUN
ajst-19170	100	15	,	,	PUNCT
ajst-19170	100	16	the	the	DET
ajst-19170	100	17	bias	bias	NOUN
ajst-19170	100	18	value	value	NOUN
ajst-19170	100	19	being	be	AUX
ajst-19170	100	20	reduced	reduce	VERB
ajst-19170	100	21	by	by	ADP
ajst-19170	100	22	74.1	74.1	NUM
ajst-19170	100	23	%	%	NOUN
ajst-19170	100	24	,	,	PUNCT
ajst-19170	100	25	and	and	CCONJ
ajst-19170	100	26	the	the	DET
ajst-19170	100	27	rms	rm	NOUN
ajst-19170	100	28	value	value	NOUN
ajst-19170	100	29	being	be	AUX
ajst-19170	100	30	reduced	reduce	VERB
ajst-19170	100	31	by	by	ADP
ajst-19170	100	32	9.9	9.9	NUM
ajst-19170	100	33	%	%	NOUN
ajst-19170	100	34	.	.	PUNCT
ajst-19170	101	1	this	this	PRON
ajst-19170	101	2	is	be	AUX
ajst-19170	101	3	not	not	PART
ajst-19170	101	4	only	only	ADV
ajst-19170	101	5	due	due	ADJ
ajst-19170	101	6	to	to	ADP
ajst-19170	101	7	the	the	DET
ajst-19170	101	8	higher	high	ADJ
ajst-19170	101	9	spatiotemporal	spatiotemporal	ADJ
ajst-19170	101	10	resolution	resolution	NOUN
ajst-19170	101	11	of	of	ADP
ajst-19170	101	12	the	the	DET
ajst-19170	101	13	nwm	nwm	NOUN
ajst-19170	101	14	product	product	NOUN
ajst-19170	101	15	used	use	VERB
ajst-19170	101	16	by	by	ADP
ajst-19170	101	17	the	the	DET
ajst-19170	101	18	hgpt2	hgpt2	NOUN
ajst-19170	101	19	model	model	NOUN
ajst-19170	101	20	but	but	CCONJ
ajst-19170	101	21	also	also	ADV
ajst-19170	101	22	because	because	SCONJ
ajst-19170	101	23	the	the	DET
ajst-19170	101	24	hgpt2	hgpt2	NOUN
ajst-19170	101	25	model	model	NOUN
ajst-19170	101	26	is	be	AUX
ajst-19170	101	27	based	base	VERB
ajst-19170	101	28	on	on	ADP
ajst-19170	101	29	the	the	DET
ajst-19170	101	30	era5	era5	PROPN
ajst-19170	101	31	data	datum	NOUN
ajst-19170	101	32	for	for	ADP
ajst-19170	101	33	modeling	modeling	NOUN
ajst-19170	101	34	,	,	PUNCT
ajst-19170	101	35	giving	give	VERB
ajst-19170	101	36	it	it	PRON
ajst-19170	101	37	an	an	DET
ajst-19170	101	38	advantage	advantage	NOUN
ajst-19170	101	39	.	.	PUNCT
ajst-19170	102	1	this	this	PRON
ajst-19170	102	2	explains	explain	VERB
ajst-19170	102	3	the	the	DET
ajst-19170	102	4	excellent	excellent	ADJ
ajst-19170	102	5	bias	bias	NOUN
ajst-19170	102	6	performance	performance	NOUN
ajst-19170	102	7	of	of	ADP
ajst-19170	102	8	the	the	DET
ajst-19170	102	9	hgpt2	hgpt2	NOUN
ajst-19170	102	10	model	model	NOUN
ajst-19170	102	11	.	.	PUNCT
ajst-19170	103	1	to	to	PART
ajst-19170	103	2	avoid	avoid	VERB
ajst-19170	103	3	interference	interference	NOUN
ajst-19170	103	4	caused	cause	VERB
ajst-19170	103	5	by	by	ADP
ajst-19170	103	6	known	know	VERB
ajst-19170	103	7	differences	difference	NOUN
ajst-19170	103	8	between	between	ADP
ajst-19170	103	9	the	the	DET
ajst-19170	103	10	two	two	NUM
ajst-19170	103	11	reanalysis	reanalysis	NOUN
ajst-19170	103	12	datasets	dataset	NOUN
ajst-19170	103	13	,	,	PUNCT
ajst-19170	103	14	the	the	DET
ajst-19170	103	15	subsequent	subsequent	ADJ
ajst-19170	103	16	analysis	analysis	NOUN
ajst-19170	103	17	in	in	ADP
ajst-19170	103	18	this	this	DET
ajst-19170	103	19	study	study	NOUN
ajst-19170	103	20	will	will	AUX
ajst-19170	103	21	interpolate	interpolate	VERB
ajst-19170	103	22	the	the	DET
ajst-19170	103	23	air	air	NOUN
ajst-19170	103	24	pressure	pressure	NOUN
ajst-19170	103	25	from	from	ADP
ajst-19170	103	26	the	the	DET
ajst-19170	103	27	two	two	NUM
ajst-19170	103	28	models	model	NOUN
ajst-19170	103	29	to	to	ADP
ajst-19170	103	30	meteorological	meteorological	ADJ
ajst-19170	103	31	stations	station	NOUN
ajst-19170	103	32	,	,	PUNCT
ajst-19170	103	33	and	and	CCONJ
ajst-19170	103	34	the	the	DET
ajst-19170	103	35	accuracy	accuracy	NOUN
ajst-19170	103	36	will	will	AUX
ajst-19170	103	37	be	be	AUX
ajst-19170	103	38	analyzed	analyze	VERB
ajst-19170	103	39	based	base	VERB
ajst-19170	103	40	on	on	ADP
ajst-19170	103	41	the	the	DET
ajst-19170	103	42	observed	observe	VERB
ajst-19170	103	43	air	air	NOUN
ajst-19170	103	44	pressure	pressure	NOUN
ajst-19170	103	45	data	datum	NOUN
ajst-19170	103	46	from	from	ADP
ajst-19170	103	47	the	the	DET
ajst-19170	103	48	meteorological	meteorological	ADJ
ajst-19170	103	49	stations	station	NOUN
ajst-19170	103	50	.	.	PUNCT
ajst-19170	104	1	both	both	DET
ajst-19170	104	2	models	model	NOUN
ajst-19170	104	3	exhibit	exhibit	VERB
ajst-19170	104	4	improved	improved	ADJ
ajst-19170	104	5	accuracy	accuracy	NOUN
ajst-19170	104	6	in	in	ADP
ajst-19170	104	7	the	the	DET
ajst-19170	104	8	qinghai	qinghai	PROPN
ajst-19170	104	9	-	-	PUNCT
ajst-19170	104	10	tibet	tibet	PROPN
ajst-19170	104	11	region	region	NOUN
ajst-19170	104	12	and	and	CCONJ
ajst-19170	104	13	the	the	DET
ajst-19170	104	14	low	low	ADJ
ajst-19170	104	15	-	-	PUNCT
ajst-19170	104	16	latitude	latitude	NOUN
ajst-19170	104	17	area	area	NOUN
ajst-19170	104	18	.	.	PUNCT
ajst-19170	105	1	nonetheless	nonetheless	ADV
ajst-19170	105	2	,	,	PUNCT
ajst-19170	105	3	regional	regional	ADJ
ajst-19170	105	4	discrepancies	discrepancy	NOUN
ajst-19170	105	5	are	be	AUX
ajst-19170	105	6	evident	evident	ADJ
ajst-19170	105	7	.	.	PUNCT
ajst-19170	106	1	the	the	DET
ajst-19170	106	2	accuracy	accuracy	NOUN
ajst-19170	106	3	of	of	ADP
ajst-19170	106	4	the	the	DET
ajst-19170	106	5	gpt3	gpt3	NOUN
ajst-19170	106	6	model	model	NOUN
ajst-19170	106	7	weakens	weaken	VERB
ajst-19170	106	8	in	in	ADP
ajst-19170	106	9	the	the	DET
ajst-19170	106	10	northwest	northwest	NOUN
ajst-19170	106	11	,	,	PUNCT
ajst-19170	106	12	while	while	SCONJ
ajst-19170	106	13	the	the	DET
ajst-19170	106	14	hgpt2	hgpt2	NOUN
ajst-19170	106	15	model	model	NOUN
ajst-19170	106	16	encounters	encounter	VERB
ajst-19170	106	17	challenges	challenge	NOUN
ajst-19170	106	18	in	in	ADP
ajst-19170	106	19	the	the	DET
ajst-19170	106	20	northeast	northeast	NOUN
ajst-19170	106	21	.	.	PUNCT
ajst-19170	107	1	3.2	3.2	NUM
ajst-19170	107	2	.	.	PUNCT
ajst-19170	108	1	accuracy	accuracy	NOUN
ajst-19170	108	2	analysis	analysis	NOUN
ajst-19170	108	3	of	of	ADP
ajst-19170	108	4	two	two	NUM
ajst-19170	108	5	models	model	NOUN
ajst-19170	108	6	in	in	ADP
ajst-19170	108	7	different	different	ADJ
ajst-19170	108	8	climates	climate	NOUN
ajst-19170	108	9	different	different	ADJ
ajst-19170	108	10	climate	climate	NOUN
ajst-19170	108	11	types	type	NOUN
ajst-19170	108	12	are	be	AUX
ajst-19170	108	13	determined	determine	VERB
ajst-19170	108	14	by	by	ADP
ajst-19170	108	15	factors	factor	NOUN
ajst-19170	108	16	such	such	ADJ
ajst-19170	108	17	as	as	ADP
ajst-19170	108	18	terrain	terrain	NOUN
ajst-19170	108	19	,	,	PUNCT
ajst-19170	108	20	latitude	latitude	NOUN
ajst-19170	108	21	and	and	CCONJ
ajst-19170	108	22	longitude	longitude	NOUN
ajst-19170	108	23	,	,	PUNCT
ajst-19170	108	24	as	as	ADV
ajst-19170	108	25	well	well	ADV
ajst-19170	108	26	as	as	ADP
ajst-19170	108	27	elevation	elevation	NOUN
ajst-19170	108	28	,	,	PUNCT
ajst-19170	108	29	and	and	CCONJ
ajst-19170	108	30	they	they	PRON
ajst-19170	108	31	result	result	VERB
ajst-19170	108	32	in	in	ADP
ajst-19170	108	33	varying	vary	VERB
ajst-19170	108	34	degrees	degree	NOUN
ajst-19170	108	35	of	of	ADP
ajst-19170	108	36	tropospheric	tropospheric	ADJ
ajst-19170	108	37	variation	variation	NOUN
ajst-19170	108	38	.	.	PUNCT
ajst-19170	109	1	during	during	ADP
ajst-19170	109	2	the	the	DET
ajst-19170	109	3	modeling	modeling	NOUN
ajst-19170	109	4	of	of	ADP
ajst-19170	109	5	tropospheric	tropospheric	ADJ
ajst-19170	109	6	models	model	NOUN
ajst-19170	109	7	,	,	PUNCT
ajst-19170	109	8	it	it	PRON
ajst-19170	109	9	is	be	AUX
ajst-19170	109	10	challenging	challenge	VERB
ajst-19170	109	11	for	for	ADP
ajst-19170	109	12	physical	physical	ADJ
ajst-19170	109	13	formulas	formula	NOUN
ajst-19170	109	14	to	to	PART
ajst-19170	109	15	accurately	accurately	ADV
ajst-19170	109	16	represent	represent	VERB
ajst-19170	109	17	the	the	DET
ajst-19170	109	18	fluctuation	fluctuation	NOUN
ajst-19170	109	19	of	of	ADP
ajst-19170	109	20	the	the	DET
ajst-19170	109	21	troposphere	troposphere	NOUN
ajst-19170	109	22	,	,	PUNCT
ajst-19170	109	23	leading	lead	VERB
ajst-19170	109	24	to	to	ADP
ajst-19170	109	25	significant	significant	ADJ
ajst-19170	109	26	differences	difference	NOUN
ajst-19170	109	27	in	in	ADP
ajst-19170	109	28	model	model	NOUN
ajst-19170	109	29	performance	performance	NOUN
ajst-19170	109	30	due	due	ADP
ajst-19170	109	31	to	to	ADP
ajst-19170	109	32	different	different	ADJ
ajst-19170	109	33	climate	climate	NOUN
ajst-19170	109	34	types	type	NOUN
ajst-19170	109	35	.	.	PUNCT
ajst-19170	110	1	to	to	PART
ajst-19170	110	2	investigate	investigate	VERB
ajst-19170	110	3	the	the	DET
ajst-19170	110	4	performance	performance	NOUN
ajst-19170	110	5	of	of	ADP
ajst-19170	110	6	the	the	DET
ajst-19170	110	7	gpt3	gpt3	NOUN
ajst-19170	110	8	and	and	CCONJ
ajst-19170	110	9	hgpt2	hgpt2	NOUN
ajst-19170	110	10	models	model	NOUN
ajst-19170	110	11	in	in	ADP
ajst-19170	110	12	different	different	ADJ
ajst-19170	110	13	regions	region	NOUN
ajst-19170	110	14	of	of	ADP
ajst-19170	110	15	china	china	PROPN
ajst-19170	110	16	,	,	PUNCT
ajst-19170	110	17	we	we	PRON
ajst-19170	110	18	have	have	AUX
ajst-19170	110	19	categorized	categorize	VERB
ajst-19170	110	20	the	the	DET
ajst-19170	110	21	chinese	chinese	ADJ
ajst-19170	110	22	region	region	NOUN
ajst-19170	110	23	into	into	ADP
ajst-19170	110	24	four	four	NUM
ajst-19170	110	25	areas	area	NOUN
ajst-19170	110	26	based	base	VERB
ajst-19170	110	27	on	on	ADP
ajst-19170	110	28	climate	climate	NOUN
ajst-19170	110	29	types	type	NOUN
ajst-19170	110	30	,	,	PUNCT
ajst-19170	110	31	namely	namely	ADV
ajst-19170	110	32	:	:	PUNCT
ajst-19170	110	33	northern	northern	PROPN
ajst-19170	110	34	region(n	region(n	PROPN
ajst-19170	110	35	)	)	PUNCT
ajst-19170	110	36	is	be	AUX
ajst-19170	110	37	temperate	temperate	ADJ
ajst-19170	110	38	monsoon	monsoon	NOUN
ajst-19170	110	39	climate	climate	NOUN
ajst-19170	110	40	,	,	PUNCT
ajst-19170	110	41	northwest	northwest	NOUN
ajst-19170	110	42	region	region	NOUN
ajst-19170	110	43	(	(	PUNCT
ajst-19170	110	44	n_w	n_w	NUM
ajst-19170	110	45	)	)	PUNCT
ajst-19170	110	46	is	be	AUX
ajst-19170	110	47	temperate	temperate	ADJ
ajst-19170	110	48	continental	continental	ADJ
ajst-19170	110	49	climate	climate	NOUN
ajst-19170	110	50	,	,	PUNCT
ajst-19170	110	51	southern	southern	ADJ
ajst-19170	110	52	region	region	NOUN
ajst-19170	110	53	(	(	PUNCT
ajst-19170	110	54	s	s	X
ajst-19170	110	55	)	)	PUNCT
ajst-19170	110	56	is	be	AUX
ajst-19170	110	57	subtropical	subtropical	ADJ
ajst-19170	110	58	monsoon	monsoon	NOUN
ajst-19170	110	59	climate	climate	NOUN
ajst-19170	110	60	,	,	PUNCT
ajst-19170	110	61	and	and	CCONJ
ajst-19170	110	62	qinghai	qinghai	PROPN
ajst-19170	110	63	-	-	PUNCT
ajst-19170	110	64	tibet	tibet	PROPN
ajst-19170	110	65	region	region	PROPN
ajst-19170	110	66	(	(	PUNCT
ajst-19170	110	67	q_t	q_t	NUM
ajst-19170	110	68	)	)	PUNCT
ajst-19170	110	69	is	be	AUX
ajst-19170	110	70	plateau	plateau	NOUN
ajst-19170	110	71	mountain	mountain	NOUN
ajst-19170	110	72	climate	climate	NOUN
ajst-19170	110	73	,	,	PUNCT
ajst-19170	110	74	as	as	SCONJ
ajst-19170	110	75	shown	show	VERB
ajst-19170	110	76	in	in	ADP
ajst-19170	110	77	the	the	DET
ajst-19170	110	78	figure	figure	NOUN
ajst-19170	110	79	3	3	NUM
ajst-19170	110	80	.	.	NOUN
ajst-19170	110	81	167	167	NUM
ajst-19170	110	82	figure	figure	NOUN
ajst-19170	110	83	3	3	NUM
ajst-19170	110	84	.	.	PUNCT
ajst-19170	110	85	climate	climate	NOUN
ajst-19170	110	86	distribution	distribution	NOUN
ajst-19170	110	87	map	map	NOUN
ajst-19170	110	88	of	of	ADP
ajst-19170	110	89	china	china	PROPN
ajst-19170	110	90	different	different	ADJ
ajst-19170	110	91	climates	climate	NOUN
ajst-19170	110	92	exhibit	exhibit	VERB
ajst-19170	110	93	varying	vary	VERB
ajst-19170	110	94	degrees	degree	NOUN
ajst-19170	110	95	of	of	ADP
ajst-19170	110	96	tropospheric	tropospheric	ADJ
ajst-19170	110	97	activity	activity	NOUN
ajst-19170	110	98	,	,	PUNCT
ajst-19170	110	99	and	and	CCONJ
ajst-19170	110	100	this	this	DET
ajst-19170	110	101	paper	paper	NOUN
ajst-19170	110	102	analyzes	analyze	VERB
ajst-19170	110	103	the	the	DET
ajst-19170	110	104	performance	performance	NOUN
ajst-19170	110	105	of	of	ADP
ajst-19170	110	106	the	the	DET
ajst-19170	110	107	two	two	NUM
ajst-19170	110	108	models	model	NOUN
ajst-19170	110	109	in	in	ADP
ajst-19170	110	110	different	different	ADJ
ajst-19170	110	111	climate	climate	NOUN
ajst-19170	110	112	regions	region	NOUN
ajst-19170	110	113	of	of	ADP
ajst-19170	110	114	china	china	PROPN
ajst-19170	110	115	.	.	PUNCT
ajst-19170	111	1	figure	figure	VERB
ajst-19170	111	2	4	4	NUM
ajst-19170	111	3	(	(	PUNCT
ajst-19170	111	4	a	a	NOUN
ajst-19170	111	5	)	)	PUNCT
ajst-19170	111	6	shows	show	VERB
ajst-19170	111	7	the	the	DET
ajst-19170	111	8	model	model	NOUN
ajst-19170	111	9	accuracy	accuracy	NOUN
ajst-19170	111	10	in	in	ADP
ajst-19170	111	11	different	different	ADJ
ajst-19170	111	12	climatic	climatic	ADJ
ajst-19170	111	13	regions	region	NOUN
ajst-19170	111	14	of	of	ADP
ajst-19170	111	15	china	china	PROPN
ajst-19170	111	16	for	for	ADP
ajst-19170	111	17	two	two	NUM
ajst-19170	111	18	models	model	NOUN
ajst-19170	111	19	.	.	PUNCT
ajst-19170	112	1	the	the	DET
ajst-19170	112	2	results	result	NOUN
ajst-19170	112	3	show	show	VERB
ajst-19170	112	4	when	when	SCONJ
ajst-19170	112	5	simulating	simulate	VERB
ajst-19170	112	6	pressure	pressure	NOUN
ajst-19170	112	7	changes	change	NOUN
ajst-19170	112	8	,	,	PUNCT
ajst-19170	112	9	the	the	DET
ajst-19170	112	10	weather	weather	NOUN
ajst-19170	112	11	will	will	AUX
ajst-19170	112	12	significantly	significantly	ADV
ajst-19170	112	13	affect	affect	VERB
ajst-19170	112	14	the	the	DET
ajst-19170	112	15	simulation	simulation	NOUN
ajst-19170	112	16	results	result	VERB
ajst-19170	112	17	.	.	PUNCT
ajst-19170	113	1	the	the	DET
ajst-19170	113	2	two	two	NUM
ajst-19170	113	3	models	model	NOUN
ajst-19170	113	4	perform	perform	VERB
ajst-19170	113	5	relatively	relatively	ADV
ajst-19170	113	6	well	well	ADV
ajst-19170	113	7	in	in	ADP
ajst-19170	113	8	the	the	DET
ajst-19170	113	9	southern	southern	ADJ
ajst-19170	113	10	and	and	CCONJ
ajst-19170	113	11	qinghai	qinghai	PROPN
ajst-19170	113	12	-	-	PUNCT
ajst-19170	113	13	tibet	tibet	PROPN
ajst-19170	113	14	regions	region	NOUN
ajst-19170	113	15	,	,	PUNCT
ajst-19170	113	16	with	with	ADP
ajst-19170	113	17	the	the	DET
ajst-19170	113	18	best	good	ADJ
ajst-19170	113	19	rms	rm	NOUN
ajst-19170	113	20	performance	performance	NOUN
ajst-19170	113	21	in	in	ADP
ajst-19170	113	22	the	the	DET
ajst-19170	113	23	qinghai	qinghai	PROPN
ajst-19170	113	24	-	-	PUNCT
ajst-19170	113	25	tibet	tibet	PROPN
ajst-19170	113	26	region	region	NOUN
ajst-19170	113	27	.	.	PUNCT
ajst-19170	114	1	however	however	ADV
ajst-19170	114	2	,	,	PUNCT
ajst-19170	114	3	as	as	SCONJ
ajst-19170	114	4	the	the	DET
ajst-19170	114	5	latitude	latitude	NOUN
ajst-19170	114	6	increases	increase	VERB
ajst-19170	114	7	,	,	PUNCT
ajst-19170	114	8	the	the	DET
ajst-19170	114	9	precision	precision	NOUN
ajst-19170	114	10	of	of	ADP
ajst-19170	114	11	the	the	DET
ajst-19170	114	12	models	model	NOUN
ajst-19170	114	13	begins	begin	VERB
ajst-19170	114	14	to	to	PART
ajst-19170	114	15	decrease	decrease	VERB
ajst-19170	114	16	,	,	PUNCT
ajst-19170	114	17	with	with	ADP
ajst-19170	114	18	the	the	DET
ajst-19170	114	19	worst	bad	ADJ
ajst-19170	114	20	performance	performance	NOUN
ajst-19170	114	21	in	in	ADP
ajst-19170	114	22	the	the	DET
ajst-19170	114	23	northwest	northwest	NOUN
ajst-19170	114	24	region	region	NOUN
ajst-19170	114	25	.	.	PUNCT
ajst-19170	115	1	the	the	DET
ajst-19170	115	2	variation	variation	NOUN
ajst-19170	115	3	of	of	ADP
ajst-19170	115	4	atmospheric	atmospheric	ADJ
ajst-19170	115	5	pressure	pressure	NOUN
ajst-19170	115	6	in	in	ADP
ajst-19170	115	7	regions	region	NOUN
ajst-19170	115	8	with	with	ADP
ajst-19170	115	9	high	high	ADJ
ajst-19170	115	10	latitudes	latitude	NOUN
ajst-19170	115	11	is	be	AUX
ajst-19170	115	12	more	more	ADV
ajst-19170	115	13	complex	complex	ADJ
ajst-19170	115	14	,	,	PUNCT
ajst-19170	115	15	making	make	VERB
ajst-19170	115	16	it	it	PRON
ajst-19170	115	17	harder	hard	ADJ
ajst-19170	115	18	to	to	PART
ajst-19170	115	19	be	be	AUX
ajst-19170	115	20	represented	represent	VERB
ajst-19170	115	21	by	by	ADP
ajst-19170	115	22	simple	simple	ADJ
ajst-19170	115	23	physical	physical	ADJ
ajst-19170	115	24	models	model	NOUN
ajst-19170	115	25	.	.	PUNCT
ajst-19170	116	1	figure	figure	NOUN
ajst-19170	116	2	4(b	4(b	NUM
ajst-19170	116	3	)	)	PUNCT
ajst-19170	116	4	demonstrates	demonstrate	VERB
ajst-19170	116	5	the	the	DET
ajst-19170	116	6	performance	performance	NOUN
ajst-19170	116	7	of	of	ADP
ajst-19170	116	8	two	two	NUM
ajst-19170	116	9	models	model	NOUN
ajst-19170	116	10	in	in	ADP
ajst-19170	116	11	calculating	calculate	VERB
ajst-19170	116	12	surface	surface	NOUN
ajst-19170	116	13	air	air	NOUN
ajst-19170	116	14	pressure	pressure	NOUN
ajst-19170	116	15	in	in	ADP
ajst-19170	116	16	different	different	ADJ
ajst-19170	116	17	climatic	climatic	ADJ
ajst-19170	116	18	regions	region	NOUN
ajst-19170	116	19	of	of	ADP
ajst-19170	116	20	china	china	PROPN
ajst-19170	116	21	.	.	PUNCT
ajst-19170	117	1	it	it	PRON
ajst-19170	117	2	is	be	AUX
ajst-19170	117	3	evident	evident	ADJ
ajst-19170	117	4	from	from	ADP
ajst-19170	117	5	the	the	DET
ajst-19170	117	6	figure	figure	NOUN
ajst-19170	117	7	that	that	SCONJ
ajst-19170	117	8	the	the	DET
ajst-19170	117	9	performance	performance	NOUN
ajst-19170	117	10	of	of	ADP
ajst-19170	117	11	the	the	DET
ajst-19170	117	12	gpt3	gpt3	NOUN
ajst-19170	117	13	model	model	NOUN
ajst-19170	117	14	is	be	AUX
ajst-19170	117	15	quite	quite	ADV
ajst-19170	117	16	stable	stable	ADJ
ajst-19170	117	17	while	while	SCONJ
ajst-19170	117	18	the	the	DET
ajst-19170	117	19	hgpt2	hgpt2	NOUN
ajst-19170	117	20	model	model	NOUN
ajst-19170	117	21	has	have	VERB
ajst-19170	117	22	a	a	DET
ajst-19170	117	23	significant	significant	ADJ
ajst-19170	117	24	performance	performance	NOUN
ajst-19170	117	25	difference	difference	NOUN
ajst-19170	117	26	in	in	ADP
ajst-19170	117	27	different	different	ADJ
ajst-19170	117	28	climate	climate	NOUN
ajst-19170	117	29	regions	region	NOUN
ajst-19170	117	30	,	,	PUNCT
ajst-19170	117	31	especially	especially	ADV
ajst-19170	117	32	in	in	ADP
ajst-19170	117	33	the	the	DET
ajst-19170	117	34	qinghai	qinghai	PROPN
ajst-19170	117	35	-	-	PUNCT
ajst-19170	117	36	tibet	tibet	PROPN
ajst-19170	117	37	region	region	NOUN
ajst-19170	117	38	,	,	PUNCT
ajst-19170	117	39	where	where	SCONJ
ajst-19170	117	40	the	the	DET
ajst-19170	117	41	precision	precision	NOUN
ajst-19170	117	42	of	of	ADP
ajst-19170	117	43	the	the	DET
ajst-19170	117	44	model	model	NOUN
ajst-19170	117	45	experienced	experience	VERB
ajst-19170	117	46	an	an	DET
ajst-19170	117	47	unusual	unusual	ADJ
ajst-19170	117	48	change	change	NOUN
ajst-19170	117	49	,	,	PUNCT
ajst-19170	117	50	and	and	CCONJ
ajst-19170	117	51	the	the	DET
ajst-19170	117	52	rms	rm	NOUN
ajst-19170	117	53	exceeded	exceed	VERB
ajst-19170	117	54	40hpa	40hpa	NOUN
ajst-19170	117	55	,	,	PUNCT
ajst-19170	117	56	resulting	result	VERB
ajst-19170	117	57	in	in	ADP
ajst-19170	117	58	significant	significant	ADJ
ajst-19170	117	59	deviation	deviation	NOUN
ajst-19170	117	60	from	from	ADP
ajst-19170	117	61	actual	actual	ADJ
ajst-19170	117	62	pressure	pressure	NOUN
ajst-19170	117	63	.	.	PUNCT
ajst-19170	118	1	(	(	PUNCT
ajst-19170	118	2	a	a	X
ajst-19170	118	3	)	)	PUNCT
ajst-19170	118	4	(	(	PUNCT
ajst-19170	118	5	b	b	X
ajst-19170	118	6	)	)	PUNCT
ajst-19170	118	7	figure	figure	NOUN
ajst-19170	118	8	4	4	NUM
ajst-19170	118	9	.	.	PUNCT
ajst-19170	119	1	accuracy	accuracy	NOUN
ajst-19170	119	2	of	of	ADP
ajst-19170	119	3	two	two	NUM
ajst-19170	119	4	models	model	NOUN
ajst-19170	119	5	in	in	ADP
ajst-19170	119	6	different	different	ADJ
ajst-19170	119	7	climate	climate	NOUN
ajst-19170	119	8	regions	region	NOUN
ajst-19170	119	9	,	,	PUNCT
ajst-19170	119	10	figure	figure	NOUN
ajst-19170	119	11	(	(	PUNCT
ajst-19170	119	12	a)shows	a)shows	ADP
ajst-19170	119	13	the	the	DET
ajst-19170	119	14	accuracy	accuracy	NOUN
ajst-19170	119	15	of	of	ADP
ajst-19170	119	16	different	different	ADJ
ajst-19170	119	17	models	model	NOUN
ajst-19170	119	18	in	in	ADP
ajst-19170	119	19	different	different	ADJ
ajst-19170	119	20	regions	region	NOUN
ajst-19170	119	21	,	,	PUNCT
ajst-19170	119	22	figure	figure	NOUN
ajst-19170	119	23	(	(	PUNCT
ajst-19170	119	24	b	b	NOUN
ajst-19170	119	25	)	)	PUNCT
ajst-19170	119	26	shows	show	VERB
ajst-19170	119	27	the	the	DET
ajst-19170	119	28	performance	performance	NOUN
ajst-19170	119	29	of	of	ADP
ajst-19170	119	30	ground	ground	NOUN
ajst-19170	119	31	air	air	NOUN
ajst-19170	119	32	pressure	pressure	NOUN
ajst-19170	119	33	in	in	ADP
ajst-19170	119	34	different	different	ADJ
ajst-19170	119	35	regions	region	NOUN
ajst-19170	119	36	.	.	PUNCT
ajst-19170	120	1	168	168	NUM
ajst-19170	120	2	3.3	3.3	NUM
ajst-19170	120	3	.	.	PUNCT
ajst-19170	121	1	comparison	comparison	NOUN
ajst-19170	121	2	with	with	ADP
ajst-19170	121	3	measured	measure	VERB
ajst-19170	121	4	meteorological	meteorological	ADJ
ajst-19170	121	5	stations	station	NOUN
ajst-19170	121	6	in	in	ADP
ajst-19170	121	7	order	order	NOUN
ajst-19170	121	8	to	to	PART
ajst-19170	121	9	assess	assess	VERB
ajst-19170	121	10	the	the	DET
ajst-19170	121	11	effectiveness	effectiveness	NOUN
ajst-19170	121	12	of	of	ADP
ajst-19170	121	13	both	both	CCONJ
ajst-19170	121	14	the	the	DET
ajst-19170	121	15	gpt3	gpt3	NOUN
ajst-19170	121	16	and	and	CCONJ
ajst-19170	121	17	hgpt2	hgpt2	NOUN
ajst-19170	121	18	models	model	NOUN
ajst-19170	121	19	,	,	PUNCT
ajst-19170	121	20	validate	validate	VERB
ajst-19170	121	21	the	the	DET
ajst-19170	121	22	credibility	credibility	NOUN
ajst-19170	121	23	of	of	ADP
ajst-19170	121	24	era5	era5	PROPN
ajst-19170	121	25	data	data	PROPN
ajst-19170	121	26	evaluation	evaluation	NOUN
ajst-19170	121	27	,	,	PUNCT
ajst-19170	121	28	and	and	CCONJ
ajst-19170	121	29	confirm	confirm	VERB
ajst-19170	121	30	the	the	DET
ajst-19170	121	31	considerable	considerable	ADJ
ajst-19170	121	32	variability	variability	NOUN
ajst-19170	121	33	in	in	ADP
ajst-19170	121	34	the	the	DET
ajst-19170	121	35	accuracy	accuracy	NOUN
ajst-19170	121	36	of	of	ADP
ajst-19170	121	37	hgpt2	hgpt2	NOUN
ajst-19170	121	38	after	after	ADP
ajst-19170	121	39	surface	surface	NOUN
ajst-19170	121	40	correction	correction	NOUN
ajst-19170	121	41	,	,	PUNCT
ajst-19170	121	42	daily	daily	ADJ
ajst-19170	121	43	mean	mean	VERB
ajst-19170	121	44	pressure	pressure	NOUN
ajst-19170	121	45	data	datum	NOUN
ajst-19170	121	46	from	from	ADP
ajst-19170	121	47	45	45	NUM
ajst-19170	121	48	meteorological	meteorological	ADJ
ajst-19170	121	49	observation	observation	NOUN
ajst-19170	121	50	stations	station	NOUN
ajst-19170	121	51	across	across	ADP
ajst-19170	121	52	china	china	PROPN
ajst-19170	121	53	were	be	AUX
ajst-19170	121	54	employed	employ	VERB
ajst-19170	121	55	for	for	ADP
ajst-19170	121	56	comparative	comparative	ADJ
ajst-19170	121	57	analysis	analysis	NOUN
ajst-19170	121	58	.	.	PUNCT
ajst-19170	122	1	bias	bias	NOUN
ajst-19170	122	2	and	and	CCONJ
ajst-19170	122	3	rms	rm	NOUN
ajst-19170	122	4	of	of	ADP
ajst-19170	122	5	the	the	DET
ajst-19170	122	6	two	two	NUM
ajst-19170	122	7	models	model	NOUN
ajst-19170	122	8	were	be	AUX
ajst-19170	122	9	computed	compute	VERB
ajst-19170	122	10	individually	individually	ADV
ajst-19170	122	11	.	.	PUNCT
ajst-19170	123	1	the	the	DET
ajst-19170	123	2	geographical	geographical	ADJ
ajst-19170	123	3	distribution	distribution	NOUN
ajst-19170	123	4	of	of	ADP
ajst-19170	123	5	the	the	DET
ajst-19170	123	6	meteorological	meteorological	ADJ
ajst-19170	123	7	station	station	NOUN
ajst-19170	123	8	sites	site	NOUN
ajst-19170	123	9	and	and	CCONJ
ajst-19170	123	10	their	their	PRON
ajst-19170	123	11	respective	respective	ADJ
ajst-19170	123	12	accuracy	accuracy	NOUN
ajst-19170	123	13	is	be	AUX
ajst-19170	123	14	illustrated	illustrate	VERB
ajst-19170	123	15	in	in	ADP
ajst-19170	123	16	figure	figure	NOUN
ajst-19170	123	17	5	5	NUM
ajst-19170	123	18	:	:	PUNCT
ajst-19170	123	19	(	(	PUNCT
ajst-19170	123	20	a)bias	a)bias	PROPN
ajst-19170	123	21	(	(	PUNCT
ajst-19170	123	22	b)rms	b)rm	NOUN
ajst-19170	123	23	figure	figure	VERB
ajst-19170	123	24	5	5	NUM
ajst-19170	123	25	.	.	PUNCT
ajst-19170	123	26	illustrates	illustrate	VERB
ajst-19170	123	27	the	the	DET
ajst-19170	123	28	comparison	comparison	NOUN
ajst-19170	123	29	of	of	ADP
ajst-19170	123	30	accuracy	accuracy	NOUN
ajst-19170	123	31	between	between	ADP
ajst-19170	123	32	the	the	DET
ajst-19170	123	33	weather	weather	NOUN
ajst-19170	123	34	station	station	NOUN
ajst-19170	123	35	site	site	NOUN
ajst-19170	123	36	pressure	pressure	NOUN
ajst-19170	123	37	and	and	CCONJ
ajst-19170	123	38	the	the	DET
ajst-19170	123	39	pressure	pressure	NOUN
ajst-19170	123	40	calculated	calculate	VERB
ajst-19170	123	41	by	by	ADP
ajst-19170	123	42	the	the	DET
ajst-19170	123	43	gpt3	gpt3	NOUN
ajst-19170	123	44	model	model	NOUN
ajst-19170	123	45	(	(	PUNCT
ajst-19170	123	46	left	left	ADJ
ajst-19170	123	47	)	)	PUNCT
ajst-19170	123	48	and	and	CCONJ
ajst-19170	123	49	hgpt2	hgpt2	NOUN
ajst-19170	123	50	model	model	NOUN
ajst-19170	123	51	(	(	PUNCT
ajst-19170	123	52	right	right	NOUN
ajst-19170	123	53	)	)	PUNCT
ajst-19170	123	54	in	in	ADP
ajst-19170	123	55	china	china	PROPN
ajst-19170	123	56	.	.	PUNCT
ajst-19170	124	1	table	table	NOUN
ajst-19170	124	2	2	2	NUM
ajst-19170	124	3	.	.	PUNCT
ajst-19170	124	4	comparison	comparison	NOUN
ajst-19170	124	5	of	of	ADP
ajst-19170	124	6	gpt3	gpt3	NOUN
ajst-19170	124	7	and	and	CCONJ
ajst-19170	124	8	hgpt2	hgpt2	NOUN
ajst-19170	124	9	calculated	calculate	VERB
ajst-19170	124	10	weather	weather	NOUN
ajst-19170	124	11	station	station	NOUN
ajst-19170	124	12	site	site	NOUN
ajst-19170	124	13	pressure	pressure	NOUN
ajst-19170	124	14	and	and	CCONJ
ajst-19170	124	15	weather	weather	NOUN
ajst-19170	124	16	station	station	NOUN
ajst-19170	124	17	pressure	pressure	NOUN
ajst-19170	124	18	accuracy	accuracy	NOUN
ajst-19170	124	19	gpt3(hpa	gpt3(hpa	NOUN
ajst-19170	124	20	)	)	PUNCT
ajst-19170	124	21	hgpt2(hpa	hgpt2(hpa	NOUN
ajst-19170	124	22	)	)	PUNCT
ajst-19170	124	23	bias	bias	NOUN
ajst-19170	124	24	1.8	1.8	NUM
ajst-19170	124	25	-3.84	-3.84	NOUN
ajst-19170	124	26	rms	rm	VERB
ajst-19170	124	27	4.71	4.71	NUM
ajst-19170	124	28	8.81	8.81	NUM
ajst-19170	124	29	taking	take	VERB
ajst-19170	124	30	into	into	ADP
ajst-19170	124	31	account	account	NOUN
ajst-19170	124	32	the	the	DET
ajst-19170	124	33	known	know	VERB
ajst-19170	124	34	differences	difference	NOUN
ajst-19170	124	35	between	between	ADP
ajst-19170	124	36	the	the	DET
ajst-19170	124	37	reanalysis	reanalysis	NOUN
ajst-19170	124	38	data	datum	NOUN
ajst-19170	124	39	models	model	NOUN
ajst-19170	124	40	,	,	PUNCT
ajst-19170	124	41	this	this	DET
ajst-19170	124	42	study	study	NOUN
ajst-19170	124	43	further	far	ADV
ajst-19170	124	44	validates	validate	VERB
ajst-19170	124	45	the	the	DET
ajst-19170	124	46	performance	performance	NOUN
ajst-19170	124	47	of	of	ADP
ajst-19170	124	48	the	the	DET
ajst-19170	124	49	gpt3	gpt3	NOUN
ajst-19170	124	50	model	model	NOUN
ajst-19170	124	51	and	and	CCONJ
ajst-19170	124	52	hgpt2	hgpt2	NOUN
ajst-19170	124	53	model	model	NOUN
ajst-19170	124	54	in	in	ADP
ajst-19170	124	55	obtaining	obtain	VERB
ajst-19170	124	56	surface	surface	NOUN
ajst-19170	124	57	pressure	pressure	NOUN
ajst-19170	124	58	by	by	ADP
ajst-19170	124	59	using	use	VERB
ajst-19170	124	60	measured	measure	VERB
ajst-19170	124	61	pressure	pressure	NOUN
ajst-19170	124	62	data	datum	NOUN
ajst-19170	124	63	from	from	ADP
ajst-19170	124	64	meteorological	meteorological	ADJ
ajst-19170	124	65	stations	station	NOUN
ajst-19170	124	66	.	.	PUNCT
ajst-19170	125	1	from	from	ADP
ajst-19170	125	2	table	table	NOUN
ajst-19170	125	3	2	2	NUM
ajst-19170	125	4	,	,	PUNCT
ajst-19170	125	5	it	it	PRON
ajst-19170	125	6	can	can	AUX
ajst-19170	125	7	be	be	AUX
ajst-19170	125	8	seen	see	VERB
ajst-19170	125	9	that	that	SCONJ
ajst-19170	125	10	the	the	DET
ajst-19170	125	11	overall	overall	ADJ
ajst-19170	125	12	accuracy	accuracy	NOUN
ajst-19170	125	13	of	of	ADP
ajst-19170	125	14	gpt3	gpt3	NOUN
ajst-19170	125	15	is	be	AUX
ajst-19170	125	16	significantly	significantly	ADV
ajst-19170	125	17	better	well	ADJ
ajst-19170	125	18	than	than	ADP
ajst-19170	125	19	hgpt2	hgpt2	NOUN
ajst-19170	125	20	.	.	PUNCT
ajst-19170	126	1	moreover	moreover	ADV
ajst-19170	126	2	,	,	PUNCT
ajst-19170	126	3	as	as	SCONJ
ajst-19170	126	4	shown	show	VERB
ajst-19170	126	5	in	in	ADP
ajst-19170	126	6	figure	figure	NOUN
ajst-19170	126	7	5	5	NUM
ajst-19170	126	8	,	,	PUNCT
ajst-19170	126	9	hgpt2	hgpt2	NOUN
ajst-19170	126	10	exhibits	exhibit	VERB
ajst-19170	126	11	larger	large	ADJ
ajst-19170	126	12	errors	error	NOUN
ajst-19170	126	13	in	in	ADP
ajst-19170	126	14	calculating	calculate	VERB
ajst-19170	126	15	surface	surface	NOUN
ajst-19170	126	16	pressure	pressure	NOUN
ajst-19170	126	17	in	in	ADP
ajst-19170	126	18	the	the	DET
ajst-19170	126	19	qinghaitibet	qinghaitibet	NOUN
ajst-19170	126	20	region	region	NOUN
ajst-19170	126	21	,	,	PUNCT
ajst-19170	126	22	consistent	consistent	ADJ
ajst-19170	126	23	with	with	ADP
ajst-19170	126	24	the	the	DET
ajst-19170	126	25	evaluation	evaluation	NOUN
ajst-19170	126	26	results	result	NOUN
ajst-19170	126	27	using	use	VERB
ajst-19170	126	28	era5	era5	NOUN
ajst-19170	126	29	mentioned	mention	VERB
ajst-19170	126	30	earlier	early	ADV
ajst-19170	126	31	.	.	PUNCT
ajst-19170	127	1	although	although	SCONJ
ajst-19170	127	2	hgpt2	hgpt2	NOUN
ajst-19170	127	3	has	have	VERB
ajst-19170	127	4	better	well	ADJ
ajst-19170	127	5	accuracy	accuracy	NOUN
ajst-19170	127	6	in	in	ADP
ajst-19170	127	7	modeling	modeling	NOUN
ajst-19170	127	8	,	,	PUNCT
ajst-19170	127	9	experimental	experimental	ADJ
ajst-19170	127	10	results	result	NOUN
ajst-19170	127	11	demonstrate	demonstrate	VERB
ajst-19170	127	12	that	that	SCONJ
ajst-19170	127	13	gpt3	gpt3	NOUN
ajst-19170	127	14	outperforms	outperform	VERB
ajst-19170	127	15	hgpt2	hgpt2	NOUN
ajst-19170	127	16	in	in	ADP
ajst-19170	127	17	obtaining	obtain	VERB
ajst-19170	127	18	surface	surface	NOUN
ajst-19170	127	19	pressure	pressure	NOUN
ajst-19170	127	20	.	.	PUNCT
ajst-19170	128	1	4	4	X
ajst-19170	128	2	.	.	X
ajst-19170	128	3	conclusion	conclusion	NOUN
ajst-19170	128	4	and	and	CCONJ
ajst-19170	128	5	discussion	discussion	NOUN
ajst-19170	128	6	this	this	DET
ajst-19170	128	7	study	study	NOUN
ajst-19170	128	8	utilizes	utilize	VERB
ajst-19170	128	9	reanalysis	reanalysi	NOUN
ajst-19170	128	10	data	datum	NOUN
ajst-19170	128	11	era5	era5	PROPN
ajst-19170	128	12	and	and	CCONJ
ajst-19170	128	13	measured	measure	VERB
ajst-19170	128	14	surface	surface	NOUN
ajst-19170	128	15	pressure	pressure	NOUN
ajst-19170	128	16	data	datum	NOUN
ajst-19170	128	17	from	from	ADP
ajst-19170	128	18	meteorological	meteorological	ADJ
ajst-19170	128	19	stations	station	NOUN
ajst-19170	128	20	to	to	PART
ajst-19170	128	21	analyze	analyze	VERB
ajst-19170	128	22	the	the	DET
ajst-19170	128	23	accuracy	accuracy	NOUN
ajst-19170	128	24	of	of	ADP
ajst-19170	128	25	the	the	DET
ajst-19170	128	26	gpt3	gpt3	NOUN
ajst-19170	128	27	model	model	NOUN
ajst-19170	128	28	and	and	CCONJ
ajst-19170	128	29	hgpt2	hgpt2	NOUN
ajst-19170	128	30	model	model	NOUN
ajst-19170	128	31	in	in	ADP
ajst-19170	128	32	china	china	PROPN
ajst-19170	128	33	,	,	PUNCT
ajst-19170	128	34	as	as	ADV
ajst-19170	128	35	well	well	ADV
ajst-19170	128	36	as	as	ADP
ajst-19170	128	37	their	their	PRON
ajst-19170	128	38	performance	performance	NOUN
ajst-19170	128	39	in	in	ADP
ajst-19170	128	40	calculating	calculate	VERB
ajst-19170	128	41	surface	surface	NOUN
ajst-19170	128	42	pressure	pressure	NOUN
ajst-19170	128	43	.	.	PUNCT
ajst-19170	129	1	the	the	DET
ajst-19170	129	2	following	follow	VERB
ajst-19170	129	3	conclusions	conclusion	NOUN
ajst-19170	129	4	are	be	AUX
ajst-19170	129	5	drawn	draw	VERB
ajst-19170	129	6	based	base	VERB
ajst-19170	129	7	on	on	ADP
ajst-19170	129	8	the	the	DET
ajst-19170	129	9	analysis	analysis	NOUN
ajst-19170	129	10	of	of	ADP
ajst-19170	129	11	the	the	DET
ajst-19170	129	12	spatial	spatial	ADJ
ajst-19170	129	13	-	-	PUNCT
ajst-19170	129	14	temporal	temporal	ADJ
ajst-19170	129	15	distribution	distribution	NOUN
ajst-19170	129	16	characteristics	characteristic	NOUN
ajst-19170	129	17	of	of	ADP
ajst-19170	129	18	model	model	NOUN
ajst-19170	129	19	errors	error	NOUN
ajst-19170	129	20	.	.	PUNCT
ajst-19170	130	1	this	this	DET
ajst-19170	130	2	study	study	NOUN
ajst-19170	130	3	utilized	utilize	VERB
ajst-19170	130	4	reanalysis	reanalysis	NOUN
ajst-19170	130	5	data	datum	NOUN
ajst-19170	130	6	era5	era5	PROPN
ajst-19170	130	7	and	and	CCONJ
ajst-19170	130	8	ground	ground	NOUN
ajst-19170	130	9	meteorological	meteorological	ADJ
ajst-19170	130	10	station	station	NOUN
ajst-19170	130	11	measured	measure	VERB
ajst-19170	130	12	data	datum	NOUN
ajst-19170	130	13	to	to	PART
ajst-19170	130	14	analyze	analyze	VERB
ajst-19170	130	15	the	the	DET
ajst-19170	130	16	accuracy	accuracy	NOUN
ajst-19170	130	17	of	of	ADP
ajst-19170	130	18	the	the	DET
ajst-19170	130	19	gpt3	gpt3	NOUN
ajst-19170	130	20	model	model	NOUN
ajst-19170	130	21	and	and	CCONJ
ajst-19170	130	22	hgpt2	hgpt2	NOUN
ajst-19170	130	23	model	model	NOUN
ajst-19170	130	24	in	in	ADP
ajst-19170	130	25	china	china	PROPN
ajst-19170	130	26	,	,	PUNCT
ajst-19170	130	27	as	as	ADV
ajst-19170	130	28	well	well	ADV
ajst-19170	130	29	as	as	ADP
ajst-19170	130	30	the	the	DET
ajst-19170	130	31	performance	performance	NOUN
ajst-19170	130	32	of	of	ADP
ajst-19170	130	33	the	the	DET
ajst-19170	130	34	two	two	NUM
ajst-19170	130	35	models	model	NOUN
ajst-19170	130	36	in	in	ADP
ajst-19170	130	37	simulating	simulate	VERB
ajst-19170	130	38	surface	surface	NOUN
ajst-19170	130	39	pressure	pressure	NOUN
ajst-19170	130	40	.	.	PUNCT
ajst-19170	131	1	through	through	ADP
ajst-19170	131	2	the	the	DET
ajst-19170	131	3	analysis	analysis	NOUN
ajst-19170	131	4	of	of	ADP
ajst-19170	131	5	the	the	DET
ajst-19170	131	6	spatiotemporal	spatiotemporal	ADJ
ajst-19170	131	7	distribution	distribution	NOUN
ajst-19170	131	8	characteristics	characteristic	NOUN
ajst-19170	131	9	of	of	ADP
ajst-19170	131	10	model	model	NOUN
ajst-19170	131	11	errors	error	NOUN
ajst-19170	131	12	,	,	PUNCT
ajst-19170	131	13	the	the	DET
ajst-19170	131	14	following	follow	VERB
ajst-19170	131	15	conclusions	conclusion	NOUN
ajst-19170	131	16	were	be	AUX
ajst-19170	131	17	drawn	draw	VERB
ajst-19170	131	18	:	:	PUNCT
ajst-19170	131	19	both	both	CCONJ
ajst-19170	131	20	the	the	DET
ajst-19170	131	21	hgpt2	hgpt2	NOUN
ajst-19170	131	22	model	model	NOUN
ajst-19170	131	23	and	and	CCONJ
ajst-19170	131	24	gpt3	gpt3	NOUN
ajst-19170	131	25	model	model	NOUN
ajst-19170	131	26	demonstrated	demonstrate	VERB
ajst-19170	131	27	good	good	ADJ
ajst-19170	131	28	performance	performance	NOUN
ajst-19170	131	29	in	in	ADP
ajst-19170	131	30	china	china	PROPN
ajst-19170	131	31	,	,	PUNCT
ajst-19170	131	32	with	with	ADP
ajst-19170	131	33	the	the	DET
ajst-19170	131	34	bias	bias	NOUN
ajst-19170	131	35	and	and	CCONJ
ajst-19170	131	36	rms	rm	NOUN
ajst-19170	131	37	of	of	ADP
ajst-19170	131	38	the	the	DET
ajst-19170	131	39	pressure	pressure	NOUN
ajst-19170	131	40	in	in	ADP
ajst-19170	131	41	the	the	DET
ajst-19170	131	42	hgpt2	hgpt2	NOUN
ajst-19170	131	43	model	model	NOUN
ajst-19170	131	44	being	be	AUX
ajst-19170	131	45	superior	superior	ADJ
ajst-19170	131	46	to	to	ADP
ajst-19170	131	47	those	those	PRON
ajst-19170	131	48	of	of	ADP
ajst-19170	131	49	the	the	DET
ajst-19170	131	50	gpt3	gpt3	NOUN
ajst-19170	131	51	model	model	NOUN
ajst-19170	131	52	.	.	PUNCT
ajst-19170	132	1	however	however	ADV
ajst-19170	132	2	,	,	PUNCT
ajst-19170	132	3	the	the	DET
ajst-19170	132	4	hgpt2	hgpt2	NOUN
ajst-19170	132	5	model	model	NOUN
ajst-19170	132	6	performed	perform	VERB
ajst-19170	132	7	poorly	poorly	ADV
ajst-19170	132	8	at	at	ADP
ajst-19170	132	9	some	some	DET
ajst-19170	132	10	station	station	NOUN
ajst-19170	132	11	sites	site	NOUN
ajst-19170	132	12	when	when	SCONJ
ajst-19170	132	13	simulating	simulate	VERB
ajst-19170	132	14	surface	surface	NOUN
ajst-19170	132	15	pressure	pressure	NOUN
ajst-19170	132	16	.	.	PUNCT
ajst-19170	133	1	furthermore	furthermore	ADV
ajst-19170	133	2	,	,	PUNCT
ajst-19170	133	3	a	a	DET
ajst-19170	133	4	comparison	comparison	NOUN
ajst-19170	133	5	of	of	ADP
ajst-19170	133	6	the	the	DET
ajst-19170	133	7	accuracy	accuracy	NOUN
ajst-19170	133	8	of	of	ADP
ajst-19170	133	9	the	the	DET
ajst-19170	133	10	two	two	NUM
ajst-19170	133	11	models	model	NOUN
ajst-19170	133	12	in	in	ADP
ajst-19170	133	13	different	different	ADJ
ajst-19170	133	14	climate	climate	NOUN
ajst-19170	133	15	types	type	NOUN
ajst-19170	133	16	indicated	indicate	VERB
ajst-19170	133	17	that	that	SCONJ
ajst-19170	133	18	169	169	NUM
ajst-19170	133	19	hgpt2	hgpt2	NOUN
ajst-19170	133	20	performed	perform	VERB
ajst-19170	133	21	well	well	ADV
ajst-19170	133	22	in	in	ADP
ajst-19170	133	23	all	all	DET
ajst-19170	133	24	climate	climate	NOUN
ajst-19170	133	25	types	type	NOUN
ajst-19170	133	26	,	,	PUNCT
ajst-19170	133	27	while	while	SCONJ
ajst-19170	133	28	the	the	DET
ajst-19170	133	29	gpt3	gpt3	NOUN
ajst-19170	133	30	model	model	NOUN
ajst-19170	133	31	had	have	VERB
ajst-19170	133	32	lower	low	ADJ
ajst-19170	133	33	accuracy	accuracy	NOUN
ajst-19170	133	34	in	in	ADP
ajst-19170	133	35	the	the	DET
ajst-19170	133	36	northwest	northwest	NOUN
ajst-19170	133	37	region	region	NOUN
ajst-19170	133	38	of	of	ADP
ajst-19170	133	39	china	china	PROPN
ajst-19170	133	40	.	.	PUNCT
ajst-19170	134	1	references	reference	NOUN
ajst-19170	134	2	[	[	X
ajst-19170	134	3	1	1	NUM
ajst-19170	134	4	]	]	X
ajst-19170	134	5	bock	bock	NOUN
ajst-19170	134	6	,	,	PUNCT
ajst-19170	134	7	o.	o.	NOUN
ajst-19170	134	8	,	,	PUNCT
ajst-19170	134	9	bosser	bosser	NOUN
ajst-19170	134	10	,	,	PUNCT
ajst-19170	134	11	p.	p.	PROPN
ajst-19170	134	12	,	,	PUNCT
ajst-19170	134	13	bourcy	bourcy	PROPN
ajst-19170	134	14	,	,	PUNCT
ajst-19170	134	15	t.	t.	PROPN
ajst-19170	134	16	,	,	PUNCT
ajst-19170	134	17	david	david	PROPN
ajst-19170	134	18	,	,	PUNCT
ajst-19170	134	19	l.	l.	PROPN
ajst-19170	134	20	,	,	PUNCT
ajst-19170	134	21	goutail	goutail	PROPN
ajst-19170	134	22	,	,	PUNCT
ajst-19170	134	23	f.	f.	PROPN
ajst-19170	134	24	,	,	PUNCT
ajst-19170	134	25	hoareau	hoareau	PROPN
ajst-19170	134	26	,	,	PUNCT
ajst-19170	134	27	c.	c.	PROPN
ajst-19170	134	28	,	,	PUNCT
ajst-19170	134	29	keckhut	keckhut	VERB
ajst-19170	134	30	,	,	PUNCT
ajst-19170	134	31	p.	p.	PROPN
ajst-19170	134	32	,	,	PUNCT
ajst-19170	134	33	legain	legain	PROPN
ajst-19170	134	34	,	,	PUNCT
ajst-19170	134	35	d.	d.	PROPN
ajst-19170	134	36	,	,	PUNCT
ajst-19170	134	37	pazmino	pazmino	NOUN
ajst-19170	134	38	,	,	PUNCT
ajst-19170	134	39	a.	a.	NOUN
ajst-19170	134	40	,	,	PUNCT
ajst-19170	134	41	pelon	pelon	PROPN
ajst-19170	134	42	,	,	PUNCT
ajst-19170	134	43	j.	j.	PROPN
ajst-19170	134	44	,	,	PUNCT
ajst-19170	134	45	pipis	pipis	PROPN
ajst-19170	134	46	,	,	PUNCT
ajst-19170	134	47	k.	k.	PROPN
ajst-19170	134	48	,	,	PUNCT
ajst-19170	134	49	poujol	poujol	NOUN
ajst-19170	134	50	,	,	PUNCT
ajst-19170	134	51	g.	g.	PROPN
ajst-19170	134	52	,	,	PUNCT
ajst-19170	134	53	sarkissian	sarkissian	PROPN
ajst-19170	134	54	,	,	PUNCT
ajst-19170	134	55	a.	a.	PROPN
ajst-19170	134	56	,	,	PUNCT
ajst-19170	134	57	thom	thom	PROPN
ajst-19170	134	58	,	,	PUNCT
ajst-19170	134	59	c.	c.	PROPN
ajst-19170	134	60	,	,	PUNCT
ajst-19170	134	61	tournois	tournois	NOUN
ajst-19170	134	62	,	,	PUNCT
ajst-19170	134	63	g.	g.	PROPN
ajst-19170	134	64	,	,	PUNCT
ajst-19170	134	65	&	&	CCONJ
ajst-19170	134	66	tzanos	tzanos	PROPN
ajst-19170	134	67	,	,	PUNCT
ajst-19170	134	68	d.	d.	PROPN
ajst-19170	134	69	(	(	PUNCT
ajst-19170	134	70	2013	2013	NUM
ajst-19170	134	71	)	)	PUNCT
ajst-19170	134	72	.	.	PUNCT
ajst-19170	135	1	accuracy	accuracy	NOUN
ajst-19170	135	2	assessment	assessment	NOUN
ajst-19170	135	3	of	of	ADP
ajst-19170	135	4	water	water	NOUN
ajst-19170	135	5	vapour	vapour	NOUN
ajst-19170	135	6	measurements	measurement	NOUN
ajst-19170	135	7	from	from	ADP
ajst-19170	135	8	in	in	ADP
ajst-19170	135	9	situ	situ	NOUN
ajst-19170	135	10	and	and	CCONJ
ajst-19170	135	11	remote	remote	ADJ
ajst-19170	135	12	sensing	sense	VERB
ajst-19170	135	13	techniques	technique	NOUN
ajst-19170	135	14	during	during	ADP
ajst-19170	135	15	the	the	DET
ajst-19170	135	16	demevap	demevap	NOUN
ajst-19170	135	17	2011	2011	NUM
ajst-19170	135	18	campaign	campaign	NOUN
ajst-19170	135	19	at	at	ADP
ajst-19170	135	20	ohp	ohp	NOUN
ajst-19170	135	21	.	.	PUNCT
ajst-19170	136	1	atmospheric	atmospheric	PROPN
ajst-19170	136	2	measurement	measurement	NOUN
ajst-19170	136	3	techniques	technique	NOUN
ajst-19170	136	4	,	,	PUNCT
ajst-19170	136	5	6(10	6(10	NUM
ajst-19170	136	6	)	)	PUNCT
ajst-19170	136	7	,	,	PUNCT
ajst-19170	136	8	2777	2777	NUM
ajst-19170	136	9	-	-	SYM
ajst-19170	136	10	2802	2802	NUM
ajst-19170	136	11	.	.	PUNCT
ajst-19170	137	1	https://doi.org/10.5194/amt-6-2777-2013	https://doi.org/10.5194/amt-6-2777-2013	X
ajst-19170	138	1	[	[	X
ajst-19170	138	2	2	2	NUM
ajst-19170	138	3	]	]	PUNCT
ajst-19170	138	4	boehm	boehm	NOUN
ajst-19170	138	5	,	,	PUNCT
ajst-19170	138	6	j.	j.	PROPN
ajst-19170	138	7	,	,	PUNCT
ajst-19170	138	8	heinkelmann	heinkelmann	PROPN
ajst-19170	138	9	,	,	PUNCT
ajst-19170	138	10	r.	r.	PROPN
ajst-19170	138	11	,	,	PUNCT
ajst-19170	138	12	&	&	CCONJ
ajst-19170	138	13	schuh	schuh	PROPN
ajst-19170	138	14	,	,	PUNCT
ajst-19170	138	15	h.	h.	PROPN
ajst-19170	138	16	(	(	PUNCT
ajst-19170	138	17	2007	2007	NUM
ajst-19170	138	18	)	)	PUNCT
ajst-19170	138	19	.	.	PUNCT
ajst-19170	139	1	short	short	ADJ
ajst-19170	139	2	note	note	NOUN
ajst-19170	139	3	:	:	PUNCT
ajst-19170	139	4	a	a	DET
ajst-19170	139	5	global	global	ADJ
ajst-19170	139	6	model	model	NOUN
ajst-19170	139	7	of	of	ADP
ajst-19170	139	8	pressure	pressure	NOUN
ajst-19170	139	9	and	and	CCONJ
ajst-19170	139	10	temperature	temperature	NOUN
ajst-19170	139	11	for	for	ADP
ajst-19170	139	12	geodetic	geodetic	ADJ
ajst-19170	139	13	applications	application	NOUN
ajst-19170	139	14	.	.	PUNCT
ajst-19170	140	1	journal	journal	PROPN
ajst-19170	140	2	of	of	ADP
ajst-19170	140	3	geodesy	geodesy	PROPN
ajst-19170	140	4	,	,	PUNCT
ajst-19170	140	5	81(10	81(10	NUM
ajst-19170	140	6	)	)	PUNCT
ajst-19170	140	7	,	,	PUNCT
ajst-19170	140	8	679	679	NUM
ajst-19170	140	9	-	-	SYM
ajst-19170	140	10	683	683	NUM
ajst-19170	140	11	.	.	PUNCT
ajst-19170	140	12	https://doi.org/10.1007/s00190-007-0135-3	https://doi.org/10.1007/s00190-007-0135-3	PART
ajst-19170	141	1	[	[	X
ajst-19170	141	2	3	3	NUM
ajst-19170	141	3	]	]	X
ajst-19170	141	4	böhm	böhm	NOUN
ajst-19170	141	5	,	,	PUNCT
ajst-19170	141	6	j.	j.	PROPN
ajst-19170	141	7	,	,	PUNCT
ajst-19170	141	8	möller	möller	NOUN
ajst-19170	141	9	,	,	PUNCT
ajst-19170	141	10	g.	g.	PROPN
ajst-19170	141	11	,	,	PUNCT
ajst-19170	141	12	schindelegger	schindelegger	PROPN
ajst-19170	141	13	,	,	PUNCT
ajst-19170	141	14	m.	m.	NOUN
ajst-19170	141	15	,	,	PUNCT
ajst-19170	141	16	pain	pain	NOUN
ajst-19170	141	17	,	,	PUNCT
ajst-19170	141	18	g.	g.	PROPN
ajst-19170	141	19	,	,	PUNCT
ajst-19170	141	20	&	&	CCONJ
ajst-19170	141	21	weber	weber	PROPN
ajst-19170	141	22	,	,	PUNCT
ajst-19170	141	23	r.	r.	PROPN
ajst-19170	141	24	(	(	PUNCT
ajst-19170	141	25	2014	2014	NUM
ajst-19170	141	26	)	)	PUNCT
ajst-19170	141	27	.	.	PUNCT
ajst-19170	142	1	development	development	NOUN
ajst-19170	142	2	of	of	ADP
ajst-19170	142	3	an	an	DET
ajst-19170	142	4	improved	improve	VERB
ajst-19170	142	5	empirical	empirical	ADJ
ajst-19170	142	6	model	model	NOUN
ajst-19170	142	7	for	for	ADP
ajst-19170	142	8	slant	slant	ADJ
ajst-19170	142	9	delays	delay	NOUN
ajst-19170	142	10	in	in	ADP
ajst-19170	142	11	the	the	DET
ajst-19170	142	12	troposphere	troposphere	NOUN
ajst-19170	142	13	(	(	PUNCT
ajst-19170	142	14	gpt2w	gpt2w	PROPN
ajst-19170	142	15	)	)	PUNCT
ajst-19170	142	16	.	.	PUNCT
ajst-19170	143	1	gps	gps	PROPN
ajst-19170	143	2	solutions	solution	NOUN
ajst-19170	143	3	,	,	PUNCT
ajst-19170	143	4	19(3	19(3	NUM
ajst-19170	143	5	)	)	PUNCT
ajst-19170	143	6	,	,	PUNCT
ajst-19170	143	7	433441	433441	NUM
ajst-19170	143	8	.	.	PUNCT
ajst-19170	144	1	https://doi.org/10.1007/s10291-014-0403-7	https://doi.org/10.1007/s10291-014-0403-7	PUNCT
ajst-19170	145	1	[	[	X
ajst-19170	145	2	4	4	NUM
ajst-19170	145	3	]	]	X
ajst-19170	145	4	cai	cai	X
ajst-19170	145	5	,	,	PUNCT
ajst-19170	145	6	m.	m.	NOUN
ajst-19170	145	7	,	,	PUNCT
ajst-19170	145	8	li	li	PROPN
ajst-19170	145	9	,	,	PUNCT
ajst-19170	145	10	j.	j.	PROPN
ajst-19170	145	11	,	,	PUNCT
ajst-19170	145	12	liu	liu	PROPN
ajst-19170	145	13	,	,	PUNCT
ajst-19170	145	14	l.	l.	PROPN
ajst-19170	145	15	,	,	PUNCT
ajst-19170	145	16	huang	huang	PROPN
ajst-19170	145	17	,	,	PUNCT
ajst-19170	145	18	l.	l.	PROPN
ajst-19170	145	19	,	,	PUNCT
ajst-19170	145	20	zhou	zhou	PROPN
ajst-19170	145	21	,	,	PUNCT
ajst-19170	145	22	l.	l.	PROPN
ajst-19170	145	23	,	,	PUNCT
ajst-19170	145	24	huang	huang	PROPN
ajst-19170	145	25	,	,	PUNCT
ajst-19170	145	26	l.	l.	PROPN
ajst-19170	145	27	,	,	PUNCT
ajst-19170	145	28	&	&	CCONJ
ajst-19170	145	29	he	he	PRON
ajst-19170	145	30	,	,	PUNCT
ajst-19170	145	31	h.	h.	PROPN
ajst-19170	145	32	(	(	PUNCT
ajst-19170	145	33	2022	2022	NUM
ajst-19170	145	34	)	)	PUNCT
ajst-19170	145	35	.	.	PUNCT
ajst-19170	146	1	weighted	weight	VERB
ajst-19170	146	2	mean	mean	VERB
ajst-19170	146	3	temperature	temperature	NOUN
ajst-19170	146	4	hybrid	hybrid	NOUN
ajst-19170	146	5	models	model	NOUN
ajst-19170	146	6	in	in	ADP
ajst-19170	146	7	china	china	PROPN
ajst-19170	146	8	based	base	VERB
ajst-19170	146	9	on	on	ADP
ajst-19170	146	10	artificial	artificial	ADJ
ajst-19170	146	11	neural	neural	ADJ
ajst-19170	146	12	network	network	NOUN
ajst-19170	146	13	methods	method	NOUN
ajst-19170	146	14	.	.	PUNCT
ajst-19170	147	1	remote	remote	ADJ
ajst-19170	147	2	sensing	sensing	NOUN
ajst-19170	147	3	,	,	PUNCT
ajst-19170	147	4	14(15	14(15	NUM
ajst-19170	147	5	)	)	PUNCT
ajst-19170	147	6	.	.	PUNCT
ajst-19170	148	1	https://doi.org/10.3390/rs14153762	https://doi.org/10.3390/rs14153762	PRON
ajst-19170	149	1	[	[	X
ajst-19170	149	2	5	5	NUM
ajst-19170	149	3	]	]	X
ajst-19170	149	4	chen	chen	PROPN
ajst-19170	149	5	,	,	PUNCT
ajst-19170	149	6	b.	b.	PROPN
ajst-19170	149	7	,	,	PUNCT
ajst-19170	149	8	&	&	CCONJ
ajst-19170	149	9	liu	liu	PROPN
ajst-19170	149	10	,	,	PUNCT
ajst-19170	149	11	z.	z.	PROPN
ajst-19170	149	12	(	(	PUNCT
ajst-19170	149	13	2016	2016	NUM
ajst-19170	149	14	)	)	PUNCT
ajst-19170	149	15	.	.	PUNCT
ajst-19170	150	1	a	a	DET
ajst-19170	150	2	comprehensive	comprehensive	ADJ
ajst-19170	150	3	evaluation	evaluation	NOUN
ajst-19170	150	4	and	and	CCONJ
ajst-19170	150	5	analysis	analysis	NOUN
ajst-19170	150	6	of	of	ADP
ajst-19170	150	7	the	the	DET
ajst-19170	150	8	performance	performance	NOUN
ajst-19170	150	9	of	of	ADP
ajst-19170	150	10	multiple	multiple	ADJ
ajst-19170	150	11	tropospheric	tropospheric	ADJ
ajst-19170	150	12	models	model	NOUN
ajst-19170	150	13	in	in	ADP
ajst-19170	150	14	china	china	PROPN
ajst-19170	150	15	region	region	PROPN
ajst-19170	150	16	.	.	PUNCT
ajst-19170	151	1	ieee	ieee	NOUN
ajst-19170	151	2	transactions	transaction	NOUN
ajst-19170	151	3	on	on	ADP
ajst-19170	151	4	geoscience	geoscience	NOUN
ajst-19170	151	5	and	and	CCONJ
ajst-19170	151	6	remote	remote	ADJ
ajst-19170	151	7	sensing	sensing	NOUN
ajst-19170	151	8	,	,	PUNCT
ajst-19170	151	9	54(2	54(2	NUM
ajst-19170	151	10	)	)	PUNCT
ajst-19170	151	11	,	,	PUNCT
ajst-19170	151	12	663	663	NUM
ajst-19170	151	13	-	-	SYM
ajst-19170	151	14	678	678	NUM
ajst-19170	151	15	.	.	PUNCT
ajst-19170	152	1	https://doi.org/10.1109/tgrs.2015.2456099	https://doi.org/10.1109/tgrs.2015.2456099	PROPN
ajst-19170	153	1	[	[	X
ajst-19170	153	2	6	6	NUM
ajst-19170	153	3	]	]	SYM
ajst-19170	153	4	ding	ding	NOUN
ajst-19170	153	5	,	,	PUNCT
ajst-19170	153	6	j.	j.	PROPN
ajst-19170	153	7	,	,	PUNCT
ajst-19170	153	8	&	&	CCONJ
ajst-19170	153	9	chen	chen	PROPN
ajst-19170	153	10	,	,	PUNCT
ajst-19170	153	11	j.	j.	PROPN
ajst-19170	153	12	(	(	PUNCT
ajst-19170	153	13	2020	2020	NUM
ajst-19170	153	14	)	)	PUNCT
ajst-19170	153	15	.	.	PUNCT
ajst-19170	154	1	assessment	assessment	NOUN
ajst-19170	154	2	of	of	ADP
ajst-19170	154	3	empirical	empirical	ADJ
ajst-19170	154	4	troposphere	troposphere	PROPN
ajst-19170	154	5	model	model	NOUN
ajst-19170	154	6	gpt3	gpt3	NOUN
ajst-19170	154	7	based	base	VERB
ajst-19170	154	8	on	on	ADP
ajst-19170	154	9	ngl	ngl	PROPN
ajst-19170	154	10	's	's	PART
ajst-19170	154	11	global	global	ADJ
ajst-19170	154	12	troposphere	troposphere	ADJ
ajst-19170	154	13	products	product	NOUN
ajst-19170	154	14	.	.	PUNCT
ajst-19170	155	1	sensors	sensor	NOUN
ajst-19170	155	2	(	(	PUNCT
ajst-19170	155	3	basel	basel	PROPN
ajst-19170	155	4	)	)	PUNCT
ajst-19170	155	5	,	,	PUNCT
ajst-19170	155	6	20(13	20(13	NUM
ajst-19170	155	7	)	)	PUNCT
ajst-19170	155	8	.	.	PUNCT
ajst-19170	156	1	https://doi.org/10.3390/s20133631	https://doi.org/10.3390/s20133631	PRON
ajst-19170	157	1	[	[	X
ajst-19170	157	2	7	7	X
ajst-19170	157	3	]	]	X
ajst-19170	157	4	ding	ding	NOUN
ajst-19170	157	5	,	,	PUNCT
ajst-19170	157	6	m.	m.	NOUN
ajst-19170	157	7	(	(	PUNCT
ajst-19170	157	8	2020	2020	NUM
ajst-19170	157	9	)	)	PUNCT
ajst-19170	157	10	.	.	PUNCT
ajst-19170	158	1	reducing	reduce	VERB
ajst-19170	158	2	zhd	zhd	PROPN
ajst-19170	158	3	–	–	PUNCT
ajst-19170	158	4	zwd	zwd	X
ajst-19170	158	5	mutual	mutual	ADJ
ajst-19170	158	6	absorption	absorption	NOUN
ajst-19170	158	7	errors	error	NOUN
ajst-19170	158	8	for	for	ADP
ajst-19170	158	9	blind	blind	ADJ
ajst-19170	158	10	ztd	ztd	PROPN
ajst-19170	158	11	model	model	NOUN
ajst-19170	158	12	users	user	NOUN
ajst-19170	158	13	.	.	PUNCT
ajst-19170	159	1	acta	acta	PROPN
ajst-19170	159	2	geodaetica	geodaetica	PROPN
ajst-19170	159	3	et	et	PROPN
ajst-19170	159	4	geophysica	geophysica	PROPN
ajst-19170	159	5	,	,	PUNCT
ajst-19170	159	6	55(1	55(1	NOUN
ajst-19170	159	7	)	)	PUNCT
ajst-19170	159	8	,	,	PUNCT
ajst-19170	159	9	51	51	NUM
ajst-19170	159	10	-	-	SYM
ajst-19170	159	11	62	62	NUM
ajst-19170	159	12	.	.	PUNCT
ajst-19170	160	1	https://doi.org/10.1007/s40328-01900280-6	https://doi.org/10.1007/s40328-01900280-6	PROPN
ajst-19170	160	2	[	[	X
ajst-19170	160	3	8	8	NUM
ajst-19170	160	4	]	]	PUNCT
ajst-19170	160	5	guerova	guerova	PROPN
ajst-19170	160	6	,	,	PUNCT
ajst-19170	160	7	g.	g.	PROPN
ajst-19170	160	8	,	,	PUNCT
ajst-19170	160	9	jones	jones	PROPN
ajst-19170	160	10	,	,	PUNCT
ajst-19170	160	11	j.	j.	PROPN
ajst-19170	160	12	,	,	PUNCT
ajst-19170	160	13	douša	douša	PROPN
ajst-19170	160	14	,	,	PUNCT
ajst-19170	160	15	j.	j.	PROPN
ajst-19170	160	16	,	,	PUNCT
ajst-19170	160	17	dick	dick	PROPN
ajst-19170	160	18	,	,	PUNCT
ajst-19170	160	19	g.	g.	PROPN
ajst-19170	160	20	,	,	PUNCT
ajst-19170	160	21	de	de	PROPN
ajst-19170	160	22	haan	haan	PROPN
ajst-19170	160	23	,	,	PUNCT
ajst-19170	160	24	s.	s.	PROPN
ajst-19170	160	25	,	,	PUNCT
ajst-19170	160	26	pottiaux	pottiaux	PROPN
ajst-19170	160	27	,	,	PUNCT
ajst-19170	160	28	e.	e.	PROPN
ajst-19170	160	29	,	,	PUNCT
ajst-19170	160	30	bock	bock	NOUN
ajst-19170	160	31	,	,	PUNCT
ajst-19170	160	32	o.	o.	NOUN
ajst-19170	160	33	,	,	PUNCT
ajst-19170	160	34	pacione	pacione	PROPN
ajst-19170	160	35	,	,	PUNCT
ajst-19170	160	36	r.	r.	PROPN
ajst-19170	160	37	,	,	PUNCT
ajst-19170	160	38	elgered	elgere	VERB
ajst-19170	160	39	,	,	PUNCT
ajst-19170	160	40	g.	g.	PROPN
ajst-19170	160	41	,	,	PUNCT
ajst-19170	160	42	vedel	vedel	NOUN
ajst-19170	160	43	,	,	PUNCT
ajst-19170	160	44	h.	h.	PROPN
ajst-19170	160	45	,	,	PUNCT
ajst-19170	160	46	&	&	CCONJ
ajst-19170	160	47	bender	bender	PROPN
ajst-19170	160	48	,	,	PUNCT
ajst-19170	160	49	m.	m.	NOUN
ajst-19170	160	50	(	(	PUNCT
ajst-19170	160	51	2016	2016	NUM
ajst-19170	160	52	)	)	PUNCT
ajst-19170	160	53	.	.	PUNCT
ajst-19170	161	1	review	review	NOUN
ajst-19170	161	2	of	of	ADP
ajst-19170	161	3	the	the	DET
ajst-19170	161	4	state	state	NOUN
ajst-19170	161	5	of	of	ADP
ajst-19170	161	6	the	the	DET
ajst-19170	161	7	art	art	NOUN
ajst-19170	161	8	and	and	CCONJ
ajst-19170	161	9	future	future	ADJ
ajst-19170	161	10	prospects	prospect	NOUN
ajst-19170	161	11	of	of	ADP
ajst-19170	161	12	the	the	DET
ajst-19170	161	13	ground	ground	NOUN
ajst-19170	161	14	-	-	PUNCT
ajst-19170	161	15	based	base	VERB
ajst-19170	161	16	gnss	gnss	NOUN
ajst-19170	161	17	meteorology	meteorology	NOUN
ajst-19170	161	18	in	in	ADP
ajst-19170	161	19	europe	europe	PROPN
ajst-19170	161	20	.	.	PUNCT
ajst-19170	162	1	atmospheric	atmospheric	ADJ
ajst-19170	162	2	measurement	measurement	NOUN
ajst-19170	162	3	techniques	technique	NOUN
ajst-19170	162	4	,	,	PUNCT
ajst-19170	162	5	9(11	9(11	NUM
ajst-19170	162	6	)	)	PUNCT
ajst-19170	162	7	,	,	PUNCT
ajst-19170	162	8	5385	5385	NUM
ajst-19170	162	9	-	-	SYM
ajst-19170	162	10	5406	5406	NUM
ajst-19170	162	11	.	.	PUNCT
ajst-19170	162	12	https://doi.org/10.5194/amt-9-5385-2016	https://doi.org/10.5194/amt-9-5385-2016	X
ajst-19170	163	1	[	[	X
ajst-19170	163	2	9	9	NUM
ajst-19170	163	3	]	]	X
ajst-19170	163	4	huang	huang	PROPN
ajst-19170	163	5	,	,	PUNCT
ajst-19170	163	6	l.	l.	PROPN
ajst-19170	163	7	,	,	PUNCT
ajst-19170	163	8	peng	peng	PROPN
ajst-19170	163	9	,	,	PUNCT
ajst-19170	163	10	h.	h.	PROPN
ajst-19170	163	11	,	,	PUNCT
ajst-19170	163	12	liu	liu	PROPN
ajst-19170	163	13	,	,	PUNCT
ajst-19170	163	14	l.	l.	PROPN
ajst-19170	163	15	,	,	PUNCT
ajst-19170	163	16	xiong	xiong	PROPN
ajst-19170	163	17	,	,	PUNCT
ajst-19170	163	18	s.	s.	PROPN
ajst-19170	163	19	,	,	PUNCT
ajst-19170	163	20	xie	xie	PROPN
ajst-19170	163	21	,	,	PUNCT
ajst-19170	163	22	s.	s.	PROPN
ajst-19170	163	23	,	,	PUNCT
ajst-19170	163	24	chen	chen	PROPN
ajst-19170	163	25	,	,	PUNCT
ajst-19170	163	26	j.	j.	PROPN
ajst-19170	163	27	,	,	PUNCT
ajst-19170	163	28	li	li	PROPN
ajst-19170	163	29	,	,	PUNCT
ajst-19170	163	30	j.	j.	PROPN
ajst-19170	163	31	,	,	PUNCT
ajst-19170	163	32	&	&	CCONJ
ajst-19170	163	33	he	he	PRON
ajst-19170	163	34	,	,	PUNCT
ajst-19170	163	35	h.	h.	PROPN
ajst-19170	163	36	(	(	PUNCT
ajst-19170	163	37	2021	2021	NUM
ajst-19170	163	38	)	)	PUNCT
ajst-19170	163	39	.	.	PUNCT
ajst-19170	164	1	gnss	gnss	NOUN
ajst-19170	164	2	precipitable	precipitable	ADJ
ajst-19170	164	3	water	water	NOUN
ajst-19170	164	4	vapor	vapor	NOUN
ajst-19170	164	5	retrieval	retrieval	NOUN
ajst-19170	164	6	with	with	ADP
ajst-19170	164	7	the	the	DET
ajst-19170	164	8	aid	aid	NOUN
ajst-19170	164	9	of	of	ADP
ajst-19170	164	10	nwm	nwm	PROPN
ajst-19170	164	11	data	data	PROPN
ajst-19170	164	12	for	for	ADP
ajst-19170	164	13	china	china	PROPN
ajst-19170	164	14	.	.	PUNCT
ajst-19170	165	1	earth	earth	NOUN
ajst-19170	165	2	and	and	CCONJ
ajst-19170	165	3	space	space	NOUN
ajst-19170	165	4	science	science	NOUN
ajst-19170	165	5	,	,	PUNCT
ajst-19170	165	6	8(9	8(9	NUM
ajst-19170	165	7	)	)	PUNCT
ajst-19170	165	8	.	.	PUNCT
ajst-19170	166	1	https://doi.org/10.1029/2020ea001550	https://doi.org/10.1029/2020ea001550	PROPN
ajst-19170	167	1	[	[	X
ajst-19170	167	2	10	10	NUM
ajst-19170	167	3	]	]	X
ajst-19170	167	4	huang	huang	PROPN
ajst-19170	167	5	,	,	PUNCT
ajst-19170	167	6	l.	l.	PROPN
ajst-19170	167	7	,	,	PUNCT
ajst-19170	167	8	zhu	zhu	PROPN
ajst-19170	167	9	,	,	PUNCT
ajst-19170	167	10	g.	g.	PROPN
ajst-19170	167	11	,	,	PUNCT
ajst-19170	167	12	peng	peng	PROPN
ajst-19170	167	13	,	,	PUNCT
ajst-19170	167	14	h.	h.	PROPN
ajst-19170	167	15	,	,	PUNCT
ajst-19170	167	16	liu	liu	PROPN
ajst-19170	167	17	,	,	PUNCT
ajst-19170	167	18	l.	l.	PROPN
ajst-19170	167	19	,	,	PUNCT
ajst-19170	167	20	ren	ren	PROPN
ajst-19170	167	21	,	,	PUNCT
ajst-19170	167	22	c.	c.	PROPN
ajst-19170	167	23	,	,	PUNCT
ajst-19170	167	24	&	&	CCONJ
ajst-19170	167	25	jiang	jiang	PROPN
ajst-19170	167	26	,	,	PUNCT
ajst-19170	167	27	w.	w.	PROPN
ajst-19170	167	28	(	(	PUNCT
ajst-19170	167	29	2022	2022	NUM
ajst-19170	167	30	)	)	PUNCT
ajst-19170	167	31	.	.	PUNCT
ajst-19170	168	1	an	an	DET
ajst-19170	168	2	improved	improve	VERB
ajst-19170	168	3	global	global	ADJ
ajst-19170	168	4	grid	grid	NOUN
ajst-19170	168	5	model	model	NOUN
ajst-19170	168	6	for	for	ADP
ajst-19170	168	7	calibrating	calibrate	VERB
ajst-19170	168	8	zenith	zenith	ADJ
ajst-19170	168	9	tropospheric	tropospheric	ADJ
ajst-19170	168	10	delay	delay	NOUN
ajst-19170	168	11	for	for	ADP
ajst-19170	168	12	gnss	gnss	NOUN
ajst-19170	168	13	applications	application	NOUN
ajst-19170	168	14	.	.	PUNCT
ajst-19170	169	1	gps	gps	PROPN
ajst-19170	169	2	solutions	solution	NOUN
ajst-19170	169	3	,	,	PUNCT
ajst-19170	169	4	27(1	27(1	NUM
ajst-19170	169	5	)	)	PUNCT
ajst-19170	169	6	.	.	PUNCT
ajst-19170	170	1	https://doi.org/10.1007/s10291-022-01354-9	https://doi.org/10.1007/s10291-022-01354-9	NUM
ajst-19170	171	1	[	[	X
ajst-19170	171	2	11	11	NUM
ajst-19170	171	3	]	]	SYM
ajst-19170	171	4	lagler	lagler	NOUN
ajst-19170	171	5	,	,	PUNCT
ajst-19170	171	6	k.	k.	PROPN
ajst-19170	171	7	,	,	PUNCT
ajst-19170	171	8	schindelegger	schindelegger	PROPN
ajst-19170	171	9	,	,	PUNCT
ajst-19170	171	10	m.	m.	NOUN
ajst-19170	171	11	,	,	PUNCT
ajst-19170	171	12	böhm	böhm	NOUN
ajst-19170	171	13	,	,	PUNCT
ajst-19170	171	14	j.	j.	PROPN
ajst-19170	171	15	,	,	PUNCT
ajst-19170	171	16	krásná	krásná	PROPN
ajst-19170	171	17	,	,	PUNCT
ajst-19170	171	18	h.	h.	PROPN
ajst-19170	171	19	,	,	PUNCT
ajst-19170	171	20	&	&	CCONJ
ajst-19170	171	21	nilsson	nilsson	PROPN
ajst-19170	171	22	,	,	PUNCT
ajst-19170	171	23	t.	t.	PROPN
ajst-19170	171	24	(	(	PUNCT
ajst-19170	171	25	2013	2013	NUM
ajst-19170	171	26	)	)	PUNCT
ajst-19170	171	27	.	.	PUNCT
ajst-19170	172	1	gpt2	gpt2	PROPN
ajst-19170	172	2	:	:	PUNCT
ajst-19170	172	3	empirical	empirical	ADJ
ajst-19170	172	4	slant	slant	ADJ
ajst-19170	172	5	delay	delay	NOUN
ajst-19170	172	6	model	model	NOUN
ajst-19170	172	7	for	for	ADP
ajst-19170	172	8	radio	radio	NOUN
ajst-19170	172	9	space	space	NOUN
ajst-19170	172	10	geodetic	geodetic	ADJ
ajst-19170	172	11	techniques	technique	NOUN
ajst-19170	172	12	.	.	PUNCT
ajst-19170	173	1	geophysical	geophysical	ADJ
ajst-19170	173	2	research	research	NOUN
ajst-19170	173	3	letters	letter	NOUN
ajst-19170	173	4	,	,	PUNCT
ajst-19170	173	5	40(6	40(6	NOUN
ajst-19170	173	6	)	)	PUNCT
ajst-19170	173	7	,	,	PUNCT
ajst-19170	173	8	1069	1069	NUM
ajst-19170	173	9	-	-	SYM
ajst-19170	173	10	1073	1073	NUM
ajst-19170	173	11	.	.	PUNCT
ajst-19170	174	1	https://doi.org/10.1002/grl.50288	https://doi.org/10.1002/grl.50288	PROPN
ajst-19170	174	2	[	[	X
ajst-19170	174	3	12	12	NUM
ajst-19170	174	4	]	]	PUNCT
ajst-19170	174	5	landskron	landskron	PROPN
ajst-19170	174	6	,	,	PUNCT
ajst-19170	174	7	d.	d.	PROPN
ajst-19170	174	8	,	,	PUNCT
ajst-19170	174	9	&	&	CCONJ
ajst-19170	174	10	böhm	böhm	PROPN
ajst-19170	174	11	,	,	PUNCT
ajst-19170	174	12	j.	j.	PROPN
ajst-19170	174	13	(	(	PUNCT
ajst-19170	174	14	2017	2017	NUM
ajst-19170	174	15	)	)	PUNCT
ajst-19170	174	16	.	.	PUNCT
ajst-19170	175	1	vmf3	vmf3	PROPN
ajst-19170	175	2	/	/	SYM
ajst-19170	175	3	gpt3	gpt3	PROPN
ajst-19170	175	4	:	:	PUNCT
ajst-19170	175	5	refined	refine	VERB
ajst-19170	175	6	discrete	discrete	ADJ
ajst-19170	175	7	and	and	CCONJ
ajst-19170	175	8	empirical	empirical	ADJ
ajst-19170	175	9	troposphere	troposphere	ADJ
ajst-19170	175	10	mapping	mapping	NOUN
ajst-19170	175	11	functions	function	NOUN
ajst-19170	175	12	.	.	PUNCT
ajst-19170	176	1	journal	journal	PROPN
ajst-19170	176	2	of	of	ADP
ajst-19170	176	3	geodesy	geodesy	PROPN
ajst-19170	176	4	,	,	PUNCT
ajst-19170	176	5	92(4	92(4	PROPN
ajst-19170	176	6	)	)	PUNCT
ajst-19170	176	7	,	,	PUNCT
ajst-19170	176	8	349	349	NUM
ajst-19170	176	9	-	-	SYM
ajst-19170	176	10	360	360	NUM
ajst-19170	176	11	.	.	PUNCT
ajst-19170	177	1	https://doi.org/10.1007/s00190017-1066-2	https://doi.org/10.1007/s00190017-1066-2	NOUN
ajst-19170	177	2	[	[	X
ajst-19170	177	3	13	13	NUM
ajst-19170	177	4	]	]	X
ajst-19170	177	5	lee	lee	PROPN
ajst-19170	177	6	,	,	PUNCT
ajst-19170	177	7	s.-w	s.-w	PROPN
ajst-19170	177	8	.	.	PUNCT
ajst-19170	178	1	l.	l.	PROPN
ajst-19170	178	2	j.	j.	PROPN
ajst-19170	178	3	k.	k.	PROPN
ajst-19170	178	4	b.	b.	PROPN
ajst-19170	178	5	s.	s.	PROPN
ajst-19170	178	6	d.	d.	PROPN
ajst-19170	178	7	h.	h.	PROPN
ajst-19170	178	8	k.	k.	PROPN
ajst-19170	178	9	y.	y.	PROPN
ajst-19170	178	10	j.	j.	PROPN
ajst-19170	179	1	(	(	PUNCT
ajst-19170	179	2	2013	2013	NUM
ajst-19170	179	3	)	)	PUNCT
ajst-19170	179	4	.	.	PUNCT
ajst-19170	180	1	monitoring	monitor	VERB
ajst-19170	180	2	precipitable	precipitable	ADJ
ajst-19170	180	3	water	water	NOUN
ajst-19170	180	4	vapor	vapor	NOUN
ajst-19170	180	5	in	in	ADP
ajst-19170	180	6	real	real	ADJ
ajst-19170	180	7	-	-	PUNCT
ajst-19170	180	8	time	time	NOUN
ajst-19170	180	9	using	use	VERB
ajst-19170	180	10	global	global	ADJ
ajst-19170	180	11	navigation	navigation	NOUN
ajst-19170	180	12	satellite	satellite	PROPN
ajst-19170	180	13	systems.pdf	systems.pdf	X
ajst-19170	180	14	.	.	PUNCT
ajst-19170	181	1	original	original	ADJ
ajst-19170	181	2	article	article	NOUN
ajst-19170	181	3	.	.	PUNCT
ajst-19170	182	1	https://doi.org/10.1007/s00190-013-0655-y	https://doi.org/10.1007/s00190-013-0655-y	PROPN
ajst-19170	183	1	[	[	X
ajst-19170	183	2	14	14	NUM
ajst-19170	183	3	]	]	SYM
ajst-19170	183	4	li	li	PROPN
ajst-19170	183	5	,	,	PUNCT
ajst-19170	183	6	h.	h.	PROPN
ajst-19170	183	7	,	,	PUNCT
ajst-19170	183	8	wang	wang	PROPN
ajst-19170	183	9	,	,	PUNCT
ajst-19170	183	10	x.	x.	PROPN
ajst-19170	183	11	,	,	PUNCT
ajst-19170	183	12	wu	wu	PROPN
ajst-19170	183	13	,	,	PUNCT
ajst-19170	183	14	s.	s.	PROPN
ajst-19170	183	15	,	,	PUNCT
ajst-19170	183	16	zhang	zhang	PROPN
ajst-19170	183	17	,	,	PUNCT
ajst-19170	183	18	k.	k.	PROPN
ajst-19170	183	19	,	,	PUNCT
ajst-19170	183	20	chen	chen	PROPN
ajst-19170	183	21	,	,	PUNCT
ajst-19170	183	22	x.	x.	PROPN
ajst-19170	183	23	,	,	PUNCT
ajst-19170	183	24	zhang	zhang	PROPN
ajst-19170	183	25	,	,	PUNCT
ajst-19170	183	26	j.	j.	PROPN
ajst-19170	183	27	,	,	PUNCT
ajst-19170	183	28	qiu	qiu	PROPN
ajst-19170	183	29	,	,	PUNCT
ajst-19170	183	30	c.	c.	PROPN
ajst-19170	183	31	,	,	PUNCT
ajst-19170	183	32	zhang	zhang	PROPN
ajst-19170	183	33	,	,	PUNCT
ajst-19170	183	34	s.	s.	PROPN
ajst-19170	183	35	,	,	PUNCT
ajst-19170	183	36	&	&	CCONJ
ajst-19170	183	37	li	li	PROPN
ajst-19170	183	38	,	,	PUNCT
ajst-19170	183	39	l.	l.	PROPN
ajst-19170	183	40	(	(	PUNCT
ajst-19170	183	41	2021	2021	NUM
ajst-19170	183	42	)	)	PUNCT
ajst-19170	183	43	.	.	PUNCT
ajst-19170	184	1	an	an	DET
ajst-19170	184	2	improved	improved	ADJ
ajst-19170	184	3	model	model	NOUN
ajst-19170	184	4	for	for	ADP
ajst-19170	184	5	detecting	detect	VERB
ajst-19170	184	6	heavy	heavy	ADJ
ajst-19170	184	7	precipitation	precipitation	NOUN
ajst-19170	184	8	using	use	VERB
ajst-19170	184	9	gnss	gnss	NOUN
ajst-19170	184	10	-	-	PUNCT
ajst-19170	184	11	derived	derive	VERB
ajst-19170	184	12	zenith	zenith	NOUN
ajst-19170	184	13	total	total	ADJ
ajst-19170	184	14	delay	delay	NOUN
ajst-19170	184	15	measurements	measurement	NOUN
ajst-19170	184	16	.	.	PUNCT
ajst-19170	185	1	ieee	ieee	PROPN
ajst-19170	185	2	journal	journal	PROPN
ajst-19170	185	3	of	of	ADP
ajst-19170	185	4	selected	select	VERB
ajst-19170	185	5	topics	topic	NOUN
ajst-19170	185	6	in	in	ADP
ajst-19170	185	7	applied	apply	VERB
ajst-19170	185	8	earth	earth	NOUN
ajst-19170	185	9	observations	observation	NOUN
ajst-19170	185	10	and	and	CCONJ
ajst-19170	185	11	remote	remote	ADJ
ajst-19170	185	12	sensing	sensing	NOUN
ajst-19170	185	13	,	,	PUNCT
ajst-19170	185	14	14	14	NUM
ajst-19170	185	15	,	,	PUNCT
ajst-19170	185	16	53925405	53925405	NUM
ajst-19170	185	17	.	.	PUNCT
ajst-19170	186	1	https://doi.org/10.1109/jstars.2021.3079699	https://doi.org/10.1109/jstars.2021.3079699	PROPN
ajst-19170	186	2	[	[	PUNCT
ajst-19170	186	3	15	15	NUM
ajst-19170	186	4	]	]	X
ajst-19170	186	5	li	li	PROPN
ajst-19170	186	6	,	,	PUNCT
ajst-19170	186	7	l.	l.	PROPN
ajst-19170	186	8	,	,	PUNCT
ajst-19170	186	9	gao	gao	PROPN
ajst-19170	186	10	,	,	PUNCT
ajst-19170	186	11	y.	y.	PROPN
ajst-19170	186	12	,	,	PUNCT
ajst-19170	186	13	xu	xu	PROPN
ajst-19170	186	14	,	,	PUNCT
ajst-19170	186	15	s.	s.	PROPN
ajst-19170	186	16	,	,	PUNCT
ajst-19170	186	17	lu	lu	PROPN
ajst-19170	186	18	,	,	PUNCT
ajst-19170	186	19	h.	h.	PROPN
ajst-19170	186	20	,	,	PUNCT
ajst-19170	186	21	he	he	PRON
ajst-19170	186	22	,	,	PUNCT
ajst-19170	186	23	q.	q.	PROPN
ajst-19170	186	24	,	,	PUNCT
ajst-19170	186	25	&	&	CCONJ
ajst-19170	186	26	yu	yu	PROPN
ajst-19170	186	27	,	,	PUNCT
ajst-19170	186	28	h.	h.	PROPN
ajst-19170	186	29	(	(	PUNCT
ajst-19170	186	30	2022	2022	NUM
ajst-19170	186	31	)	)	PUNCT
ajst-19170	186	32	.	.	PUNCT
ajst-19170	187	1	the	the	DET
ajst-19170	187	2	new	new	ADJ
ajst-19170	187	3	improved	improve	VERB
ajst-19170	187	4	zhd	zhd	PROPN
ajst-19170	187	5	and	and	CCONJ
ajst-19170	187	6	weighted	weight	VERB
ajst-19170	187	7	mean	mean	ADJ
ajst-19170	187	8	temperature	temperature	NOUN
ajst-19170	187	9	models	model	NOUN
ajst-19170	187	10	based	base	VERB
ajst-19170	187	11	on	on	ADP
ajst-19170	187	12	gnss	gnss	NOUN
ajst-19170	187	13	and	and	CCONJ
ajst-19170	187	14	radiosonde	radiosonde	NOUN
ajst-19170	187	15	data	datum	NOUN
ajst-19170	187	16	using	use	VERB
ajst-19170	187	17	gpt3	gpt3	NOUN
ajst-19170	187	18	and	and	CCONJ
ajst-19170	187	19	fourier	fourier	ADJ
ajst-19170	187	20	function	function	NOUN
ajst-19170	187	21	.	.	PUNCT
ajst-19170	188	1	atmosphere	atmosphere	NOUN
ajst-19170	188	2	,	,	PUNCT
ajst-19170	188	3	13(10	13(10	NUM
ajst-19170	188	4	)	)	PUNCT
ajst-19170	188	5	.	.	PUNCT
ajst-19170	189	1	https://doi.org/10.3390/atmos13101648	https://doi.org/10.3390/atmos13101648	PROPN
ajst-19170	190	1	[	[	X
ajst-19170	190	2	16	16	NUM
ajst-19170	190	3	]	]	X
ajst-19170	190	4	li	li	PROPN
ajst-19170	190	5	,	,	PUNCT
ajst-19170	190	6	l.	l.	PROPN
ajst-19170	190	7	,	,	PUNCT
ajst-19170	190	8	wu	wu	PROPN
ajst-19170	190	9	,	,	PUNCT
ajst-19170	190	10	s.	s.	PROPN
ajst-19170	190	11	,	,	PUNCT
ajst-19170	190	12	zhang	zhang	PROPN
ajst-19170	190	13	,	,	PUNCT
ajst-19170	190	14	k.	k.	PROPN
ajst-19170	190	15	,	,	PUNCT
ajst-19170	190	16	wang	wang	PROPN
ajst-19170	190	17	,	,	PUNCT
ajst-19170	190	18	x.	x.	PROPN
ajst-19170	190	19	,	,	PUNCT
ajst-19170	190	20	li	li	PROPN
ajst-19170	190	21	,	,	PUNCT
ajst-19170	190	22	w.	w.	PROPN
ajst-19170	190	23	,	,	PUNCT
ajst-19170	190	24	shen	shen	PROPN
ajst-19170	190	25	,	,	PUNCT
ajst-19170	190	26	z.	z.	PROPN
ajst-19170	190	27	,	,	PUNCT
ajst-19170	190	28	zhu	zhu	PROPN
ajst-19170	190	29	,	,	PUNCT
ajst-19170	190	30	d.	d.	PROPN
ajst-19170	190	31	,	,	PUNCT
ajst-19170	190	32	he	he	PRON
ajst-19170	190	33	,	,	PUNCT
ajst-19170	190	34	q.	q.	PROPN
ajst-19170	190	35	,	,	PUNCT
ajst-19170	190	36	&	&	CCONJ
ajst-19170	190	37	wan	wan	PROPN
ajst-19170	190	38	,	,	PUNCT
ajst-19170	190	39	m.	m.	NOUN
ajst-19170	190	40	(	(	PUNCT
ajst-19170	190	41	2021	2021	NUM
ajst-19170	190	42	)	)	PUNCT
ajst-19170	190	43	.	.	PUNCT
ajst-19170	191	1	a	a	DET
ajst-19170	191	2	new	new	ADJ
ajst-19170	191	3	zenith	zenith	PROPN
ajst-19170	191	4	hydrostatic	hydrostatic	PROPN
ajst-19170	191	5	delay	delay	NOUN
ajst-19170	191	6	model	model	NOUN
ajst-19170	191	7	for	for	ADP
ajst-19170	191	8	real	real	ADJ
ajst-19170	191	9	-	-	PUNCT
ajst-19170	191	10	time	time	NOUN
ajst-19170	191	11	retrievals	retrieval	NOUN
ajst-19170	191	12	of	of	ADP
ajst-19170	191	13	gnss	gnss	NOUN
ajst-19170	191	14	-	-	PUNCT
ajst-19170	191	15	pwv	pwv	NOUN
ajst-19170	191	16	.	.	PUNCT
ajst-19170	192	1	atmospheric	atmospheric	PROPN
ajst-19170	192	2	measurement	measurement	NOUN
ajst-19170	192	3	techniques	technique	NOUN
ajst-19170	192	4	,	,	PUNCT
ajst-19170	192	5	14(10	14(10	NUM
ajst-19170	192	6	)	)	PUNCT
ajst-19170	192	7	,	,	PUNCT
ajst-19170	192	8	6379	6379	NUM
ajst-19170	192	9	-	-	SYM
ajst-19170	192	10	6394	6394	NUM
ajst-19170	192	11	.	.	PUNCT
ajst-19170	193	1	https://doi.org/10.5194/amt-14-6379-2021	https://doi.org/10.5194/amt-14-6379-2021	X
ajst-19170	193	2	[	[	X
ajst-19170	193	3	17	17	NUM
ajst-19170	193	4	]	]	SYM
ajst-19170	193	5	li	li	PROPN
ajst-19170	193	6	,	,	PUNCT
ajst-19170	193	7	s.	s.	PROPN
ajst-19170	193	8	,	,	PUNCT
ajst-19170	193	9	xu	xu	PROPN
ajst-19170	193	10	,	,	PUNCT
ajst-19170	193	11	t.	t.	PROPN
ajst-19170	193	12	,	,	PUNCT
ajst-19170	193	13	xu	xu	PROPN
ajst-19170	193	14	,	,	PUNCT
ajst-19170	193	15	y.	y.	PROPN
ajst-19170	193	16	,	,	PUNCT
ajst-19170	193	17	jiang	jiang	PROPN
ajst-19170	193	18	,	,	PUNCT
ajst-19170	193	19	n.	n.	NOUN
ajst-19170	193	20	,	,	PUNCT
ajst-19170	193	21	&	&	CCONJ
ajst-19170	193	22	bastos	bastos	PROPN
ajst-19170	193	23	,	,	PUNCT
ajst-19170	193	24	l.	l.	PROPN
ajst-19170	193	25	(	(	PUNCT
ajst-19170	193	26	2022	2022	NUM
ajst-19170	193	27	)	)	PUNCT
ajst-19170	193	28	.	.	PUNCT
ajst-19170	194	1	forecasting	forecast	VERB
ajst-19170	194	2	gnss	gnss	NOUN
ajst-19170	194	3	zenith	zenith	PROPN
ajst-19170	194	4	troposphere	troposphere	PROPN
ajst-19170	194	5	delay	delay	NOUN
ajst-19170	194	6	by	by	ADP
ajst-19170	194	7	improving	improve	VERB
ajst-19170	194	8	gpt3	gpt3	NOUN
ajst-19170	194	9	model	model	NOUN
ajst-19170	194	10	with	with	ADP
ajst-19170	194	11	machine	machine	NOUN
ajst-19170	194	12	learning	learning	NOUN
ajst-19170	194	13	in	in	ADP
ajst-19170	194	14	antarctica	antarctica	PROPN
ajst-19170	194	15	.	.	PUNCT
ajst-19170	195	1	atmosphere	atmosphere	PROPN
ajst-19170	195	2	,	,	PUNCT
ajst-19170	195	3	13(1	13(1	NUM
ajst-19170	195	4	)	)	PUNCT
ajst-19170	195	5	.	.	PUNCT
ajst-19170	196	1	https://doi.org/10.3390/atmos13010078	https://doi.org/10.3390/atmos13010078	PROPN
ajst-19170	196	2	[	[	X
ajst-19170	196	3	18	18	NUM
ajst-19170	196	4	]	]	SYM
ajst-19170	196	5	li	li	PROPN
ajst-19170	196	6	,	,	PUNCT
ajst-19170	196	7	w.	w.	PROPN
ajst-19170	196	8	,	,	PUNCT
ajst-19170	196	9	yuan	yuan	PROPN
ajst-19170	196	10	,	,	PUNCT
ajst-19170	196	11	y.	y.	PROPN
ajst-19170	196	12	,	,	PUNCT
ajst-19170	196	13	ou	ou	PROPN
ajst-19170	196	14	,	,	PUNCT
ajst-19170	196	15	j.	j.	PROPN
ajst-19170	196	16	,	,	PUNCT
ajst-19170	196	17	li	li	PROPN
ajst-19170	196	18	,	,	PUNCT
ajst-19170	196	19	h.	h.	PROPN
ajst-19170	196	20	,	,	PUNCT
ajst-19170	196	21	&	&	CCONJ
ajst-19170	196	22	li	li	PROPN
ajst-19170	196	23	,	,	PUNCT
ajst-19170	196	24	z.	z.	PROPN
ajst-19170	196	25	(	(	PUNCT
ajst-19170	196	26	2012	2012	NUM
ajst-19170	196	27	)	)	PUNCT
ajst-19170	196	28	.	.	PUNCT
ajst-19170	197	1	a	a	DET
ajst-19170	197	2	new	new	ADJ
ajst-19170	197	3	global	global	ADJ
ajst-19170	197	4	zenith	zenith	ADJ
ajst-19170	197	5	tropospheric	tropospheric	ADJ
ajst-19170	197	6	delay	delay	NOUN
ajst-19170	197	7	model	model	NOUN
ajst-19170	197	8	iggtrop	iggtrop	NOUN
ajst-19170	197	9	for	for	ADP
ajst-19170	197	10	gnss	gnss	NOUN
ajst-19170	197	11	applications	application	NOUN
ajst-19170	197	12	.	.	PUNCT
ajst-19170	198	1	chinese	chinese	ADJ
ajst-19170	198	2	science	science	PROPN
ajst-19170	198	3	bulletin	bulletin	NOUN
ajst-19170	198	4	,	,	PUNCT
ajst-19170	198	5	57(17	57(17	PROPN
ajst-19170	198	6	)	)	PUNCT
ajst-19170	198	7	,	,	PUNCT
ajst-19170	198	8	2132	2132	NUM
ajst-19170	198	9	-	-	SYM
ajst-19170	198	10	2139	2139	NUM
ajst-19170	198	11	.	.	PUNCT
ajst-19170	199	1	https://doi.org/10.1007/s11434-012-5010-9	https://doi.org/10.1007/s11434-012-5010-9	NUM
ajst-19170	200	1	[	[	X
ajst-19170	200	2	19	19	NUM
ajst-19170	200	3	]	]	X
ajst-19170	200	4	liu	liu	PROPN
ajst-19170	200	5	,	,	PUNCT
ajst-19170	200	6	j.	j.	PROPN
ajst-19170	200	7	,	,	PUNCT
ajst-19170	200	8	chen	chen	PROPN
ajst-19170	200	9	,	,	PUNCT
ajst-19170	200	10	x.	x.	PROPN
ajst-19170	200	11	,	,	PUNCT
ajst-19170	200	12	sun	sun	PROPN
ajst-19170	200	13	,	,	PUNCT
ajst-19170	200	14	j.	j.	PROPN
ajst-19170	200	15	,	,	PUNCT
ajst-19170	200	16	&	&	CCONJ
ajst-19170	200	17	liu	liu	PROPN
ajst-19170	200	18	,	,	PUNCT
ajst-19170	200	19	q.	q.	PROPN
ajst-19170	200	20	(	(	PUNCT
ajst-19170	200	21	2017	2017	NUM
ajst-19170	200	22	)	)	PUNCT
ajst-19170	200	23	.	.	PUNCT
ajst-19170	201	1	an	an	DET
ajst-19170	201	2	analysis	analysis	NOUN
ajst-19170	201	3	of	of	ADP
ajst-19170	201	4	gpt2	gpt2	PROPN
ajst-19170	201	5	/	/	SYM
ajst-19170	201	6	gpt2w+saastamoinen	gpt2w+saastamoinen	PROPN
ajst-19170	201	7	models	model	NOUN
ajst-19170	201	8	for	for	ADP
ajst-19170	201	9	estimating	estimate	VERB
ajst-19170	201	10	zenith	zenith	ADJ
ajst-19170	201	11	tropospheric	tropospheric	ADJ
ajst-19170	201	12	delay	delay	NOUN
ajst-19170	201	13	over	over	ADP
ajst-19170	201	14	asian	asian	ADJ
ajst-19170	201	15	area	area	NOUN
ajst-19170	201	16	.	.	PUNCT
ajst-19170	202	1	advances	advance	NOUN
ajst-19170	202	2	in	in	ADP
ajst-19170	202	3	space	space	NOUN
ajst-19170	202	4	research	research	NOUN
ajst-19170	202	5	,	,	PUNCT
ajst-19170	202	6	59(3	59(3	NUM
ajst-19170	202	7	)	)	PUNCT
ajst-19170	202	8	,	,	PUNCT
ajst-19170	202	9	824	824	NUM
ajst-19170	202	10	-	-	SYM
ajst-19170	202	11	832	832	NUM
ajst-19170	202	12	.	.	PUNCT
ajst-19170	202	13	https://doi.org/10.1016/j.asr.2016.09.019	https://doi.org/10.1016/j.asr.2016.09.019	PROPN
ajst-19170	203	1	[	[	X
ajst-19170	203	2	20	20	NUM
ajst-19170	203	3	]	]	X
ajst-19170	203	4	liu	liu	PROPN
ajst-19170	203	5	,	,	PUNCT
ajst-19170	203	6	z.	z.	PROPN
ajst-19170	203	7	,	,	PUNCT
ajst-19170	203	8	chen	chen	PROPN
ajst-19170	203	9	,	,	PUNCT
ajst-19170	203	10	x.	x.	PROPN
ajst-19170	203	11	,	,	PUNCT
ajst-19170	203	12	&	&	CCONJ
ajst-19170	203	13	liu	liu	PROPN
ajst-19170	203	14	,	,	PUNCT
ajst-19170	203	15	q.	q.	PROPN
ajst-19170	203	16	(	(	PUNCT
ajst-19170	203	17	2019	2019	NUM
ajst-19170	203	18	)	)	PUNCT
ajst-19170	203	19	.	.	PUNCT
ajst-19170	204	1	estimating	estimate	VERB
ajst-19170	204	2	zenith	zenith	ADJ
ajst-19170	204	3	tropospheric	tropospheric	ADJ
ajst-19170	204	4	delay	delay	NOUN
ajst-19170	204	5	based	base	VERB
ajst-19170	204	6	on	on	ADP
ajst-19170	204	7	gpt2w	gpt2w	PROPN
ajst-19170	204	8	model	model	NOUN
ajst-19170	204	9	.	.	PUNCT
ajst-19170	205	1	ieee	ieee	NOUN
ajst-19170	205	2	access	access	NOUN
ajst-19170	205	3	,	,	PUNCT
ajst-19170	205	4	7	7	NUM
ajst-19170	205	5	,	,	PUNCT
ajst-19170	205	6	139258	139258	NUM
ajst-19170	205	7	-	-	SYM
ajst-19170	205	8	139263	139263	NUM
ajst-19170	205	9	.	.	PUNCT
ajst-19170	206	1	https://doi.org/10.1109/access.2019.2931984	https://doi.org/10.1109/access.2019.2931984	PROPN
ajst-19170	207	1	[	[	X
ajst-19170	207	2	21	21	NUM
ajst-19170	207	3	]	]	PUNCT
ajst-19170	207	4	mateus	mateus	PROPN
ajst-19170	207	5	,	,	PUNCT
ajst-19170	207	6	p.	p.	NOUN
ajst-19170	207	7	,	,	PUNCT
ajst-19170	207	8	catalão	catalão	NOUN
ajst-19170	207	9	,	,	PUNCT
ajst-19170	207	10	j.	j.	PROPN
ajst-19170	207	11	,	,	PUNCT
ajst-19170	207	12	mendes	mende	NOUN
ajst-19170	207	13	,	,	PUNCT
ajst-19170	207	14	v.	v.	PROPN
ajst-19170	207	15	b.	b.	PROPN
ajst-19170	207	16	,	,	PUNCT
ajst-19170	207	17	&	&	CCONJ
ajst-19170	207	18	nico	nico	PROPN
ajst-19170	207	19	,	,	PUNCT
ajst-19170	207	20	g.	g.	PROPN
ajst-19170	207	21	(	(	PUNCT
ajst-19170	207	22	2020	2020	NUM
ajst-19170	207	23	)	)	PUNCT
ajst-19170	207	24	.	.	PUNCT
ajst-19170	208	1	an	an	DET
ajst-19170	208	2	era5	era5	PROPN
ajst-19170	208	3	-	-	PUNCT
ajst-19170	208	4	based	base	VERB
ajst-19170	208	5	hourly	hourly	ADJ
ajst-19170	208	6	global	global	ADJ
ajst-19170	208	7	pressure	pressure	NOUN
ajst-19170	208	8	and	and	CCONJ
ajst-19170	208	9	temperature	temperature	NOUN
ajst-19170	208	10	(	(	PUNCT
ajst-19170	208	11	hgpt	hgpt	NOUN
ajst-19170	208	12	)	)	PUNCT
ajst-19170	208	13	model	model	NOUN
ajst-19170	208	14	.	.	PUNCT
ajst-19170	209	1	remote	remote	ADJ
ajst-19170	209	2	sensing	sensing	NOUN
ajst-19170	209	3	,	,	PUNCT
ajst-19170	209	4	12(7	12(7	NUM
ajst-19170	209	5	)	)	PUNCT
ajst-19170	209	6	.	.	PUNCT
ajst-19170	210	1	https://doi.org/10.3390/rs12071098	https://doi.org/10.3390/rs12071098	X
ajst-19170	211	1	[	[	X
ajst-19170	211	2	22	22	NUM
ajst-19170	211	3	]	]	PUNCT
ajst-19170	211	4	mateus	mateus	PROPN
ajst-19170	211	5	,	,	PUNCT
ajst-19170	211	6	p.	p.	NOUN
ajst-19170	211	7	,	,	PUNCT
ajst-19170	211	8	mendes	mende	NOUN
ajst-19170	211	9	,	,	PUNCT
ajst-19170	211	10	v.	v.	PROPN
ajst-19170	211	11	b.	b.	PROPN
ajst-19170	211	12	,	,	PUNCT
ajst-19170	211	13	&	&	CCONJ
ajst-19170	211	14	plecha	plecha	PROPN
ajst-19170	211	15	,	,	PUNCT
ajst-19170	211	16	s.	s.	PROPN
ajst-19170	211	17	m.	m.	PROPN
ajst-19170	211	18	(	(	PUNCT
ajst-19170	211	19	2021	2021	NUM
ajst-19170	211	20	)	)	PUNCT
ajst-19170	211	21	.	.	PUNCT
ajst-19170	212	1	hgpt2	hgpt2	NOUN
ajst-19170	212	2	:	:	PUNCT
ajst-19170	212	3	an	an	DET
ajst-19170	212	4	era5	era5	PROPN
ajst-19170	212	5	-	-	PUNCT
ajst-19170	212	6	based	base	VERB
ajst-19170	212	7	global	global	ADJ
ajst-19170	212	8	model	model	NOUN
ajst-19170	212	9	to	to	PART
ajst-19170	212	10	estimate	estimate	VERB
ajst-19170	212	11	relative	relative	ADJ
ajst-19170	212	12	humidity	humidity	NOUN
ajst-19170	212	13	.	.	PUNCT
ajst-19170	213	1	remote	remote	ADJ
ajst-19170	213	2	sensing	sensing	NOUN
ajst-19170	213	3	,	,	PUNCT
ajst-19170	213	4	13(11	13(11	NUM
ajst-19170	213	5	)	)	PUNCT
ajst-19170	213	6	.	.	PUNCT
ajst-19170	214	1	https://doi.org/10.3390/rs13112179	https://doi.org/10.3390/rs13112179	NOUN
ajst-19170	214	2	[	[	X
ajst-19170	214	3	23	23	NUM
ajst-19170	214	4	]	]	X
ajst-19170	214	5	wang	wang	PROPN
ajst-19170	214	6	,	,	PUNCT
ajst-19170	214	7	m.	m.	NOUN
ajst-19170	214	8	,	,	PUNCT
ajst-19170	214	9	&	&	CCONJ
ajst-19170	214	10	li	li	PROPN
ajst-19170	214	11	,	,	PUNCT
ajst-19170	214	12	b.	b.	PROPN
ajst-19170	214	13	(	(	PUNCT
ajst-19170	214	14	2016	2016	NUM
ajst-19170	214	15	)	)	PUNCT
ajst-19170	214	16	.	.	PUNCT
ajst-19170	215	1	evaluation	evaluation	NOUN
ajst-19170	215	2	of	of	ADP
ajst-19170	215	3	empirical	empirical	ADJ
ajst-19170	215	4	tropospheric	tropospheric	NOUN
ajst-19170	215	5	models	model	NOUN
ajst-19170	215	6	using	use	VERB
ajst-19170	215	7	satellite	satellite	NOUN
ajst-19170	215	8	-	-	PUNCT
ajst-19170	215	9	tracking	tracking	NOUN
ajst-19170	215	10	tropospheric	tropospheric	ADJ
ajst-19170	215	11	wet	wet	ADJ
ajst-19170	215	12	delays	delay	NOUN
ajst-19170	215	13	with	with	ADP
ajst-19170	215	14	water	water	NOUN
ajst-19170	215	15	vapor	vapor	NOUN
ajst-19170	215	16	radiometer	radiometer	NOUN
ajst-19170	215	17	at	at	ADP
ajst-19170	215	18	tongji	tongji	PROPN
ajst-19170	215	19	,	,	PUNCT
ajst-19170	215	20	china	china	PROPN
ajst-19170	215	21	.	.	PUNCT
ajst-19170	216	1	sensors	sensor	NOUN
ajst-19170	216	2	(	(	PUNCT
ajst-19170	216	3	basel	basel	PROPN
ajst-19170	216	4	)	)	PUNCT
ajst-19170	216	5	,	,	PUNCT
ajst-19170	216	6	16(2	16(2	NUM
ajst-19170	216	7	)	)	PUNCT
ajst-19170	216	8	,	,	PUNCT
ajst-19170	216	9	186	186	NUM
ajst-19170	216	10	.	.	PUNCT
ajst-19170	217	1	https://doi.org/10.3390/s16020186	https://doi.org/10.3390/s16020186	NUM
ajst-19170	217	2	[	[	SYM
ajst-19170	217	3	24	24	NUM
ajst-19170	217	4	]	]	X
ajst-19170	217	5	wang	wang	PROPN
ajst-19170	217	6	,	,	PUNCT
ajst-19170	217	7	x.	x.	PROPN
ajst-19170	217	8	,	,	PUNCT
ajst-19170	217	9	zhang	zhang	PROPN
ajst-19170	217	10	,	,	PUNCT
ajst-19170	217	11	k.	k.	PROPN
ajst-19170	217	12	,	,	PUNCT
ajst-19170	217	13	wu	wu	PROPN
ajst-19170	217	14	,	,	PUNCT
ajst-19170	217	15	s.	s.	PROPN
ajst-19170	217	16	,	,	PUNCT
ajst-19170	217	17	he	he	PRON
ajst-19170	217	18	,	,	PUNCT
ajst-19170	217	19	c.	c.	PROPN
ajst-19170	217	20	,	,	PUNCT
ajst-19170	217	21	cheng	cheng	PROPN
ajst-19170	217	22	,	,	PUNCT
ajst-19170	217	23	y.	y.	PROPN
ajst-19170	217	24	,	,	PUNCT
ajst-19170	217	25	&	&	CCONJ
ajst-19170	217	26	li	li	PROPN
ajst-19170	217	27	,	,	PUNCT
ajst-19170	217	28	x.	x.	PROPN
ajst-19170	217	29	(	(	PUNCT
ajst-19170	217	30	2017	2017	NUM
ajst-19170	217	31	)	)	PUNCT
ajst-19170	217	32	.	.	PUNCT
ajst-19170	218	1	determination	determination	NOUN
ajst-19170	218	2	of	of	ADP
ajst-19170	218	3	zenith	zenith	PROPN
ajst-19170	218	4	hydrostatic	hydrostatic	ADJ
ajst-19170	218	5	delay	delay	NOUN
ajst-19170	218	6	and	and	CCONJ
ajst-19170	218	7	its	its	PRON
ajst-19170	218	8	impact	impact	NOUN
ajst-19170	218	9	on	on	ADP
ajst-19170	218	10	gnss	gnss	NOUN
ajst-19170	218	11	-	-	PUNCT
ajst-19170	218	12	derived	derive	VERB
ajst-19170	218	13	integrated	integrate	VERB
ajst-19170	218	14	water	water	NOUN
ajst-19170	218	15	vapor	vapor	NOUN
ajst-19170	218	16	.	.	PUNCT
ajst-19170	219	1	atmospheric	atmospheric	ADJ
ajst-19170	219	2	measurement	measurement	NOUN
ajst-19170	219	3	techniques	technique	NOUN
ajst-19170	219	4	,	,	PUNCT
ajst-19170	219	5	10(8	10(8	NOUN
ajst-19170	219	6	)	)	PUNCT
ajst-19170	219	7	,	,	PUNCT
ajst-19170	219	8	2807	2807	NUM
ajst-19170	219	9	-	-	SYM
ajst-19170	219	10	2820	2820	NUM
ajst-19170	219	11	.	.	PUNCT
ajst-19170	220	1	https://doi.org/10.5194/amt-10-2807-2017	https://doi.org/10.5194/amt-10-2807-2017	X
ajst-19170	221	1	[	[	X
ajst-19170	221	2	25	25	NUM
ajst-19170	221	3	]	]	X
ajst-19170	221	4	xia	xia	PROPN
ajst-19170	221	5	,	,	PUNCT
ajst-19170	221	6	p.	p.	PROPN
ajst-19170	221	7	,	,	PUNCT
ajst-19170	221	8	tong	tong	PROPN
ajst-19170	221	9	,	,	PUNCT
ajst-19170	221	10	m.	m.	NOUN
ajst-19170	221	11	,	,	PUNCT
ajst-19170	221	12	ye	ye	PROPN
ajst-19170	221	13	,	,	PUNCT
ajst-19170	221	14	s.	s.	PROPN
ajst-19170	221	15	,	,	PUNCT
ajst-19170	221	16	qian	qian	PROPN
ajst-19170	221	17	,	,	PUNCT
ajst-19170	221	18	j.	j.	PROPN
ajst-19170	221	19	,	,	PUNCT
ajst-19170	221	20	&	&	CCONJ
ajst-19170	221	21	fangxin	fangxin	PROPN
ajst-19170	221	22	,	,	PUNCT
ajst-19170	221	23	h.	h.	PROPN
ajst-19170	221	24	(	(	PUNCT
ajst-19170	221	25	2022	2022	NUM
ajst-19170	221	26	)	)	PUNCT
ajst-19170	221	27	.	.	PUNCT
ajst-19170	222	1	establishing	establish	VERB
ajst-19170	222	2	a	a	DET
ajst-19170	222	3	high	high	ADJ
ajst-19170	222	4	-	-	PUNCT
ajst-19170	222	5	precision	precision	NOUN
ajst-19170	222	6	real	real	ADJ
ajst-19170	222	7	-	-	PUNCT
ajst-19170	222	8	time	time	NOUN
ajst-19170	222	9	ztd	ztd	NOUN
ajst-19170	222	10	model	model	NOUN
ajst-19170	222	11	of	of	ADP
ajst-19170	222	12	china	china	PROPN
ajst-19170	222	13	with	with	ADP
ajst-19170	222	14	gps	gps	PROPN
ajst-19170	222	15	and	and	CCONJ
ajst-19170	222	16	era5	era5	PROPN
ajst-19170	222	17	historical	historical	ADJ
ajst-19170	222	18	data	datum	NOUN
ajst-19170	222	19	and	and	CCONJ
ajst-19170	222	20	its	its	PRON
ajst-19170	222	21	application	application	NOUN
ajst-19170	222	22	in	in	ADP
ajst-19170	222	23	ppp	ppp	PROPN
ajst-19170	222	24	.	.	PUNCT
ajst-19170	223	1	gps	gps	PROPN
ajst-19170	223	2	solutions	solution	NOUN
ajst-19170	223	3	,	,	PUNCT
ajst-19170	223	4	27(1	27(1	NUM
ajst-19170	223	5	)	)	PUNCT
ajst-19170	223	6	.	.	PUNCT
ajst-19170	224	1	https://doi.org/10.1007/s10291-02201338-9	https://doi.org/10.1007/s10291-02201338-9	PROPN
ajst-19170	224	2	[	[	X
ajst-19170	224	3	26	26	NUM
ajst-19170	224	4	]	]	X
ajst-19170	224	5	yao	yao	NOUN
ajst-19170	224	6	,	,	PUNCT
ajst-19170	224	7	y.	y.	PROPN
ajst-19170	224	8	,	,	PUNCT
ajst-19170	224	9	zhang	zhang	PROPN
ajst-19170	224	10	,	,	PUNCT
ajst-19170	224	11	b.	b.	PROPN
ajst-19170	224	12	,	,	PUNCT
ajst-19170	224	13	xu	xu	PROPN
ajst-19170	224	14	,	,	PUNCT
ajst-19170	224	15	c.	c.	PROPN
ajst-19170	224	16	,	,	PUNCT
ajst-19170	224	17	he	he	PRON
ajst-19170	224	18	,	,	PUNCT
ajst-19170	224	19	c.	c.	PROPN
ajst-19170	224	20	,	,	PUNCT
ajst-19170	224	21	yu	yu	PROPN
ajst-19170	224	22	,	,	PUNCT
ajst-19170	224	23	c.	c.	PROPN
ajst-19170	224	24	,	,	PUNCT
ajst-19170	224	25	&	&	CCONJ
ajst-19170	224	26	yan	yan	PROPN
ajst-19170	224	27	,	,	PUNCT
ajst-19170	224	28	f.	f.	PROPN
ajst-19170	224	29	(	(	PUNCT
ajst-19170	224	30	2015	2015	NUM
ajst-19170	224	31	)	)	PUNCT
ajst-19170	224	32	.	.	PUNCT
ajst-19170	225	1	a	a	DET
ajst-19170	225	2	global	global	ADJ
ajst-19170	225	3	empirical	empirical	ADJ
ajst-19170	225	4	model	model	NOUN
ajst-19170	225	5	for	for	ADP
ajst-19170	225	6	estimating	estimate	VERB
ajst-19170	225	7	zenith	zenith	ADJ
ajst-19170	225	8	tropospheric	tropospheric	ADJ
ajst-19170	225	9	delay	delay	NOUN
ajst-19170	225	10	.	.	PUNCT
ajst-19170	226	1	science	science	PROPN
ajst-19170	226	2	china	china	PROPN
ajst-19170	226	3	earth	earth	PROPN
ajst-19170	226	4	sciences	sciences	PROPN
ajst-19170	226	5	,	,	PUNCT
ajst-19170	226	6	59(1	59(1	NUM
ajst-19170	226	7	)	)	PUNCT
ajst-19170	226	8	,	,	PUNCT
ajst-19170	226	9	118	118	NUM
ajst-19170	226	10	-	-	SYM
ajst-19170	226	11	128	128	NUM
ajst-19170	226	12	.	.	PUNCT
ajst-19170	227	1	https://doi.org/10.1007/s11430-015-5173-8	https://doi.org/10.1007/s11430-015-5173-8	NUM
ajst-19170	227	2	[	[	X
ajst-19170	227	3	27	27	NUM
ajst-19170	227	4	]	]	X
ajst-19170	227	5	zhang	zhang	PROPN
ajst-19170	227	6	,	,	PUNCT
ajst-19170	227	7	k.	k.	PROPN
ajst-19170	227	8	,	,	PUNCT
ajst-19170	227	9	manning	manning	NOUN
ajst-19170	227	10	,	,	PUNCT
ajst-19170	227	11	t.	t.	PROPN
ajst-19170	227	12	,	,	PUNCT
ajst-19170	227	13	wu	wu	PROPN
ajst-19170	227	14	,	,	PUNCT
ajst-19170	227	15	s.	s.	PROPN
ajst-19170	227	16	,	,	PUNCT
ajst-19170	227	17	rohm	rohm	PROPN
ajst-19170	227	18	,	,	PUNCT
ajst-19170	227	19	w.	w.	PROPN
ajst-19170	227	20	,	,	PUNCT
ajst-19170	227	21	silcock	silcock	PROPN
ajst-19170	227	22	,	,	PUNCT
ajst-19170	227	23	d.	d.	PROPN
ajst-19170	227	24	,	,	PUNCT
ajst-19170	227	25	&	&	CCONJ
ajst-19170	227	26	choy	choy	PROPN
ajst-19170	227	27	,	,	PUNCT
ajst-19170	227	28	s.	s.	PROPN
ajst-19170	227	29	(	(	PUNCT
ajst-19170	227	30	2015	2015	NUM
ajst-19170	227	31	)	)	PUNCT
ajst-19170	227	32	.	.	PUNCT
ajst-19170	228	1	capturing	capture	VERB
ajst-19170	228	2	the	the	DET
ajst-19170	228	3	signature	signature	NOUN
ajst-19170	228	4	of	of	ADP
ajst-19170	228	5	severe	severe	ADJ
ajst-19170	228	6	weather	weather	NOUN
ajst-19170	228	7	events	event	NOUN
ajst-19170	228	8	in	in	ADP
ajst-19170	228	9	australia	australia	NOUN
ajst-19170	228	10	using	use	VERB
ajst-19170	228	11	gps	gps	PROPN
ajst-19170	228	12	measurements	measurement	NOUN
ajst-19170	228	13	.	.	PUNCT
ajst-19170	229	1	ieee	ieee	PROPN
ajst-19170	229	2	journal	journal	PROPN
ajst-19170	229	3	of	of	ADP
ajst-19170	229	4	selected	select	VERB
ajst-19170	229	5	topics	topic	NOUN
ajst-19170	229	6	in	in	ADP
ajst-19170	229	7	applied	apply	VERB
ajst-19170	229	8	earth	earth	NOUN
ajst-19170	229	9	observations	observation	NOUN
ajst-19170	229	10	and	and	CCONJ
ajst-19170	229	11	remote	remote	ADJ
ajst-19170	229	12	sensing	sensing	NOUN
ajst-19170	229	13	,	,	PUNCT
ajst-19170	229	14	8(4	8(4	NUM
ajst-19170	229	15	)	)	PUNCT
ajst-19170	229	16	,	,	PUNCT
ajst-19170	229	17	1839	1839	NUM
ajst-19170	229	18	-	-	SYM
ajst-19170	229	19	1847	1847	NUM
ajst-19170	229	20	.	.	PUNCT
ajst-19170	230	1	https://doi.org/10.1109/jstars.2015.2406313	https://doi.org/10.1109/jstars.2015.2406313	PROPN
ajst-19170	230	2	[	[	X
ajst-19170	230	3	28	28	NUM
ajst-19170	230	4	]	]	X
ajst-19170	230	5	zhang	zhang	PROPN
ajst-19170	230	6	,	,	PUNCT
ajst-19170	230	7	w.	w.	PROPN
ajst-19170	230	8	,	,	PUNCT
ajst-19170	230	9	lou	lou	PROPN
ajst-19170	230	10	,	,	PUNCT
ajst-19170	230	11	y.	y.	PROPN
ajst-19170	230	12	,	,	PUNCT
ajst-19170	230	13	huang	huang	PROPN
ajst-19170	230	14	,	,	PUNCT
ajst-19170	230	15	j.	j.	PROPN
ajst-19170	230	16	,	,	PUNCT
ajst-19170	230	17	&	&	CCONJ
ajst-19170	230	18	liu	liu	PROPN
ajst-19170	230	19	,	,	PUNCT
ajst-19170	230	20	w.	w.	PROPN
ajst-19170	230	21	(	(	PUNCT
ajst-19170	230	22	2018	2018	NUM
ajst-19170	230	23	)	)	PUNCT
ajst-19170	230	24	.	.	PUNCT
ajst-19170	231	1	a	a	DET
ajst-19170	231	2	refined	refined	ADJ
ajst-19170	231	3	regional	regional	ADJ
ajst-19170	231	4	empirical	empirical	ADJ
ajst-19170	231	5	pressure	pressure	NOUN
ajst-19170	231	6	and	and	CCONJ
ajst-19170	231	7	temperature	temperature	NOUN
ajst-19170	231	8	model	model	NOUN
ajst-19170	231	9	over	over	ADP
ajst-19170	231	10	china	china	PROPN
ajst-19170	231	11	.	.	PUNCT
ajst-19170	232	1	advances	advance	NOUN
ajst-19170	232	2	in	in	ADP
ajst-19170	232	3	space	space	NOUN
ajst-19170	232	4	research	research	NOUN
ajst-19170	232	5	,	,	PUNCT
ajst-19170	232	6	62(5	62(5	NOUN
ajst-19170	232	7	)	)	PUNCT
ajst-19170	232	8	,	,	PUNCT
ajst-19170	232	9	1065	1065	NUM
ajst-19170	232	10	-	-	SYM
ajst-19170	232	11	1074	1074	NUM
ajst-19170	232	12	.	.	PUNCT
ajst-19170	233	1	https://doi.org/10.1016/j.asr.2018.06.021	https://doi.org/10.1016/j.asr.2018.06.021	NOUN
ajst-19170	233	2	170	170	NUM
ajst-19170	234	1	[	[	X
ajst-19170	234	2	29	29	NUM
ajst-19170	234	3	]	]	X
ajst-19170	234	4	zhao	zhao	PROPN
ajst-19170	234	5	,	,	PUNCT
ajst-19170	234	6	l.	l.	PROPN
ajst-19170	234	7	,	,	PUNCT
ajst-19170	234	8	cui	cui	PROPN
ajst-19170	234	9	,	,	PUNCT
ajst-19170	234	10	m.	m.	NOUN
ajst-19170	234	11	,	,	PUNCT
ajst-19170	234	12	&	&	CCONJ
ajst-19170	234	13	song	song	PROPN
ajst-19170	234	14	,	,	PUNCT
ajst-19170	234	15	j.	j.	PROPN
ajst-19170	234	16	(	(	PUNCT
ajst-19170	234	17	2023	2023	NUM
ajst-19170	234	18	)	)	PUNCT
ajst-19170	234	19	.	.	PUNCT
ajst-19170	235	1	an	an	DET
ajst-19170	235	2	improved	improved	ADJ
ajst-19170	235	3	strategy	strategy	NOUN
ajst-19170	235	4	for	for	ADP
ajst-19170	235	5	real	real	ADJ
ajst-19170	235	6	-	-	PUNCT
ajst-19170	235	7	time	time	NOUN
ajst-19170	235	8	troposphere	troposphere	ADJ
ajst-19170	235	9	estimation	estimation	NOUN
ajst-19170	235	10	and	and	CCONJ
ajst-19170	235	11	its	its	PRON
ajst-19170	235	12	application	application	NOUN
ajst-19170	235	13	in	in	ADP
ajst-19170	235	14	the	the	DET
ajst-19170	235	15	severe	severe	ADJ
ajst-19170	235	16	weather	weather	NOUN
ajst-19170	235	17	event	event	NOUN
ajst-19170	235	18	monitoring	monitoring	NOUN
ajst-19170	235	19	.	.	PUNCT
ajst-19170	236	1	atmosphere	atmosphere	NOUN
ajst-19170	236	2	.	.	PUNCT
ajst-19170	237	1	https://doi.org/10.3390/atmos14010046	https://doi.org/10.3390/atmos14010046	NOUN
ajst-19170	237	2	[	[	X
ajst-19170	237	3	30	30	NUM
ajst-19170	237	4	]	]	X
ajst-19170	237	5	zhu	zhu	PROPN
ajst-19170	237	6	,	,	PUNCT
ajst-19170	237	7	d.	d.	PROPN
ajst-19170	237	8	,	,	PUNCT
ajst-19170	237	9	zhang	zhang	PROPN
ajst-19170	237	10	,	,	PUNCT
ajst-19170	237	11	k.	k.	PROPN
ajst-19170	237	12	,	,	PUNCT
ajst-19170	237	13	sun	sun	PROPN
ajst-19170	237	14	,	,	PUNCT
ajst-19170	237	15	p.	p.	PROPN
ajst-19170	237	16	,	,	PUNCT
ajst-19170	237	17	wu	wu	PROPN
ajst-19170	237	18	,	,	PUNCT
ajst-19170	237	19	s.	s.	PROPN
ajst-19170	237	20	,	,	PUNCT
ajst-19170	237	21	&	&	CCONJ
ajst-19170	237	22	wan	wan	PROPN
ajst-19170	237	23	,	,	PUNCT
ajst-19170	237	24	m.	m.	NOUN
ajst-19170	237	25	(	(	PUNCT
ajst-19170	237	26	2023	2023	NUM
ajst-19170	237	27	)	)	PUNCT
ajst-19170	237	28	.	.	PUNCT
ajst-19170	238	1	homogenization	homogenization	NOUN
ajst-19170	238	2	of	of	ADP
ajst-19170	238	3	daily	daily	ADJ
ajst-19170	238	4	precipitable	precipitable	ADJ
ajst-19170	238	5	water	water	NOUN
ajst-19170	238	6	vapor	vapor	NOUN
ajst-19170	238	7	time	time	NOUN
ajst-19170	238	8	series.pdf	series.pdf	X
ajst-19170	238	9	.	.	PUNCT
ajst-19170	238	10	advances	advance	NOUN
ajst-19170	238	11	in	in	ADP
ajst-19170	238	12	space	space	NOUN
ajst-19170	238	13	research	research	NOUN
ajst-19170	238	14	https://doi.org/10.1016/j.asr.2023.04.052	https://doi.org/10.1016/j.asr.2023.04.052	PRON