id	sid	tid	token	lemma	pos
esrj-65185	1	1	quality	quality	NOUN
esrj-65185	1	2	control	control	NOUN
esrj-65185	1	3	can	can	AUX
esrj-65185	1	4	effectively	effectively	ADV
esrj-65185	1	5	improve	improve	VERB
esrj-65185	1	6	the	the	DET
esrj-65185	1	7	quality	quality	NOUN
esrj-65185	1	8	of	of	ADP
esrj-65185	1	9	surface	surface	NOUN
esrj-65185	1	10	meteorological	meteorological	ADJ
esrj-65185	1	11	observations	observation	NOUN
esrj-65185	1	12	.	.	PUNCT
esrj-65185	2	1	to	to	PART
esrj-65185	2	2	ensure	ensure	VERB
esrj-65185	2	3	the	the	DET
esrj-65185	2	4	stability	stability	NOUN
esrj-65185	2	5	and	and	CCONJ
esrj-65185	2	6	effectiveness	effectiveness	NOUN
esrj-65185	2	7	of	of	ADP
esrj-65185	2	8	a	a	DET
esrj-65185	2	9	quality	quality	NOUN
esrj-65185	2	10	control	control	NOUN
esrj-65185	2	11	model	model	NOUN
esrj-65185	2	12	under	under	ADP
esrj-65185	2	13	different	different	ADJ
esrj-65185	2	14	terrain	terrain	NOUN
esrj-65185	2	15	and	and	CCONJ
esrj-65185	2	16	climate	climate	NOUN
esrj-65185	2	17	conditions	condition	NOUN
esrj-65185	2	18	,	,	PUNCT
esrj-65185	2	19	it	it	PRON
esrj-65185	2	20	is	be	AUX
esrj-65185	2	21	necessary	necessary	ADJ
esrj-65185	2	22	to	to	PART
esrj-65185	2	23	structure	structure	VERB
esrj-65185	2	24	a	a	DET
esrj-65185	2	25	quality	quality	NOUN
esrj-65185	2	26	control	control	NOUN
esrj-65185	2	27	model	model	NOUN
esrj-65185	2	28	with	with	ADP
esrj-65185	2	29	strong	strong	ADJ
esrj-65185	2	30	generalization	generalization	NOUN
esrj-65185	2	31	ability	ability	NOUN
esrj-65185	2	32	.	.	PUNCT
esrj-65185	3	1	algorithms	algorithm	NOUN
esrj-65185	3	2	such	such	ADJ
esrj-65185	3	3	as	as	ADP
esrj-65185	3	4	the	the	DET
esrj-65185	3	5	random	random	ADJ
esrj-65185	3	6	forest	forest	NOUN
esrj-65185	3	7	algorithm	algorithm	NOUN
esrj-65185	3	8	provide	provide	VERB
esrj-65185	3	9	such	such	ADJ
esrj-65185	3	10	generalization	generalization	NOUN
esrj-65185	3	11	ability	ability	NOUN
esrj-65185	3	12	.	.	PUNCT
esrj-65185	4	1	however	however	ADV
esrj-65185	4	2	,	,	PUNCT
esrj-65185	4	3	machine	machine	NOUN
esrj-65185	4	4	learning	learn	VERB
esrj-65185	4	5	algorithms	algorithm	NOUN
esrj-65185	4	6	are	be	AUX
esrj-65185	4	7	slower	slow	ADJ
esrj-65185	4	8	than	than	ADP
esrj-65185	4	9	traditional	traditional	ADJ
esrj-65185	4	10	mathematical	mathematical	ADJ
esrj-65185	4	11	models	model	NOUN
esrj-65185	4	12	.	.	PUNCT
esrj-65185	5	1	therefore	therefore	ADV
esrj-65185	5	2	,	,	PUNCT
esrj-65185	5	3	a	a	DET
esrj-65185	5	4	random	random	ADJ
esrj-65185	5	5	forest	forest	NOUN
esrj-65185	5	6	quality	quality	NOUN
esrj-65185	5	7	control	control	NOUN
esrj-65185	5	8	algorithm	algorithm	NOUN
esrj-65185	5	9	based	base	VERB
esrj-65185	5	10	on	on	ADP
esrj-65185	5	11	the	the	DET
esrj-65185	5	12	principal	principal	ADJ
esrj-65185	5	13	component	component	NOUN
esrj-65185	5	14	analysis	analysis	NOUN
esrj-65185	5	15	(	(	PUNCT
esrj-65185	5	16	pca	pca	NOUN
esrj-65185	5	17	-	-	PUNCT
esrj-65185	5	18	rf	rf	NOUN
esrj-65185	5	19	)	)	PUNCT
esrj-65185	5	20	is	be	AUX
esrj-65185	5	21	proposed	propose	VERB
esrj-65185	5	22	in	in	ADP
esrj-65185	5	23	this	this	DET
esrj-65185	5	24	paper	paper	NOUN
esrj-65185	5	25	.	.	PUNCT
esrj-65185	6	1	fifteen	fifteen	NUM
esrj-65185	6	2	target	target	NOUN
esrj-65185	6	3	stations	station	NOUN
esrj-65185	6	4	under	under	ADP
esrj-65185	6	5	different	different	ADJ
esrj-65185	6	6	climatic	climatic	ADJ
esrj-65185	6	7	and	and	CCONJ
esrj-65185	6	8	geomorphological	geomorphological	ADJ
esrj-65185	6	9	conditions	condition	NOUN
esrj-65185	6	10	were	be	AUX
esrj-65185	6	11	selected	select	VERB
esrj-65185	6	12	and	and	CCONJ
esrj-65185	6	13	tested	test	VERB
esrj-65185	6	14	using	use	VERB
esrj-65185	6	15	observations	observation	NOUN
esrj-65185	6	16	collected	collect	VERB
esrj-65185	6	17	four	four	NUM
esrj-65185	6	18	times	time	NOUN
esrj-65185	6	19	daily	daily	ADV
esrj-65185	6	20	at	at	ADP
esrj-65185	6	21	neighboring	neighboring	NOUN
esrj-65185	6	22	stations	station	NOUN
esrj-65185	6	23	from	from	ADP
esrj-65185	6	24	2005	2005	NUM
esrj-65185	6	25	-	-	SYM
esrj-65185	6	26	2014	2014	NUM
esrj-65185	6	27	.	.	PUNCT
esrj-65185	7	1	the	the	DET
esrj-65185	7	2	results	result	NOUN
esrj-65185	7	3	show	show	VERB
esrj-65185	7	4	that	that	SCONJ
esrj-65185	7	5	using	use	VERB
esrj-65185	7	6	pca	pca	PROPN
esrj-65185	7	7	to	to	PART
esrj-65185	7	8	analyze	analyze	VERB
esrj-65185	7	9	the	the	DET
esrj-65185	7	10	elemental	elemental	ADJ
esrj-65185	7	11	composition	composition	NOUN
esrj-65185	7	12	and	and	CCONJ
esrj-65185	7	13	select	select	ADJ
esrj-65185	7	14	elements	element	NOUN
esrj-65185	7	15	with	with	ADP
esrj-65185	7	16	high	high	ADJ
esrj-65185	7	17	correlation	correlation	NOUN
esrj-65185	7	18	factors	factor	NOUN
esrj-65185	7	19	,	,	PUNCT
esrj-65185	7	20	as	as	ADV
esrj-65185	7	21	well	well	ADV
esrj-65185	7	22	as	as	ADP
esrj-65185	7	23	applying	apply	VERB
esrj-65185	7	24	the	the	DET
esrj-65185	7	25	random	random	ADJ
esrj-65185	7	26	forest	forest	NOUN
esrj-65185	7	27	algorithm	algorithm	NOUN
esrj-65185	7	28	,	,	PUNCT
esrj-65185	7	29	can	can	AUX
esrj-65185	7	30	effectively	effectively	ADV
esrj-65185	7	31	reduce	reduce	VERB
esrj-65185	7	32	the	the	DET
esrj-65185	7	33	run	run	NOUN
esrj-65185	7	34	time	time	NOUN
esrj-65185	7	35	and	and	CCONJ
esrj-65185	7	36	keep	keep	VERB
esrj-65185	7	37	the	the	DET
esrj-65185	7	38	accuracy	accuracy	NOUN
esrj-65185	7	39	of	of	ADP
esrj-65185	7	40	the	the	DET
esrj-65185	7	41	model	model	NOUN
esrj-65185	7	42	.	.	PUNCT
esrj-65185	8	1	the	the	DET
esrj-65185	8	2	training	training	NOUN
esrj-65185	8	3	sample	sample	NOUN
esrj-65185	8	4	dependence	dependence	NOUN
esrj-65185	8	5	,	,	PUNCT
esrj-65185	8	6	model	model	NOUN
esrj-65185	8	7	prediction	prediction	NOUN
esrj-65185	8	8	accuracy	accuracy	NOUN
esrj-65185	8	9	and	and	CCONJ
esrj-65185	8	10	error	error	NOUN
esrj-65185	8	11	detection	detection	NOUN
esrj-65185	8	12	rate	rate	NOUN
esrj-65185	8	13	of	of	ADP
esrj-65185	8	14	the	the	DET
esrj-65185	8	15	pca	pca	NOUN
esrj-65185	8	16	-	-	PUNCT
esrj-65185	8	17	rf	rf	ADJ
esrj-65185	8	18	model	model	NOUN
esrj-65185	8	19	are	be	AUX
esrj-65185	8	20	superior	superior	ADJ
esrj-65185	8	21	to	to	ADP
esrj-65185	8	22	those	those	PRON
esrj-65185	8	23	of	of	ADP
esrj-65185	8	24	the	the	DET
esrj-65185	8	25	spatial	spatial	ADJ
esrj-65185	8	26	regression	regression	NOUN
esrj-65185	8	27	method	method	NOUN
esrj-65185	8	28	.	.	PUNCT
esrj-65185	9	1	therefore	therefore	ADV
esrj-65185	9	2	,	,	PUNCT
esrj-65185	9	3	the	the	DET
esrj-65185	9	4	pca	pca	NOUN
esrj-65185	9	5	-	-	PUNCT
esrj-65185	9	6	rf	rf	ADJ
esrj-65185	9	7	method	method	NOUN
esrj-65185	9	8	is	be	AUX
esrj-65185	9	9	a	a	DET
esrj-65185	9	10	better	well	ADJ
esrj-65185	9	11	quality	quality	NOUN
esrj-65185	9	12	control	control	NOUN
esrj-65185	9	13	model	model	NOUN
esrj-65185	9	14	for	for	ADP
esrj-65185	9	15	the	the	DET
esrj-65185	9	16	spatial	spatial	ADJ
esrj-65185	9	17	quality	quality	NOUN
esrj-65185	9	18	control	control	NOUN
esrj-65185	9	19	of	of	ADP
esrj-65185	9	20	multiple	multiple	ADJ
esrj-65185	9	21	elements	element	NOUN
esrj-65185	9	22	of	of	ADP
esrj-65185	9	23	surface	surface	NOUN
esrj-65185	9	24	air	air	NOUN
esrj-65185	9	25	temperature	temperature	NOUN
esrj-65185	9	26	observations	observation	NOUN
esrj-65185	9	27	.	.	PUNCT
esrj-65185	10	1	abstract	abstract	ADJ
esrj-65185	10	2	keywords	keyword	NOUN
esrj-65185	10	3	:	:	PUNCT
esrj-65185	10	4	surface	surface	NOUN
esrj-65185	10	5	air	air	NOUN
esrj-65185	10	6	temperature	temperature	NOUN
esrj-65185	10	7	;	;	PUNCT
esrj-65185	10	8	quality	quality	NOUN
esrj-65185	10	9	control	control	NOUN
esrj-65185	10	10	;	;	PUNCT
esrj-65185	10	11	random	random	ADJ
esrj-65185	10	12	forest	forest	NOUN
esrj-65185	10	13	;	;	PUNCT
esrj-65185	10	14	principal	principal	ADJ
esrj-65185	10	15	component	component	NOUN
esrj-65185	10	16	analysis	analysis	NOUN
esrj-65185	10	17	;	;	PUNCT
esrj-65185	10	18	spatial	spatial	ADJ
esrj-65185	10	19	quality	quality	NOUN
esrj-65185	10	20	control	control	NOUN
esrj-65185	10	21	method	method	NOUN
esrj-65185	10	22	for	for	ADP
esrj-65185	10	23	surface	surface	NOUN
esrj-65185	10	24	temperature	temperature	NOUN
esrj-65185	10	25	observations	observation	NOUN
esrj-65185	10	26	based	base	VERB
esrj-65185	10	27	on	on	ADP
esrj-65185	10	28	multiple	multiple	ADJ
esrj-65185	10	29	elements	element	NOUN
esrj-65185	10	30	issn	issn	VERB
esrj-65185	10	31	1794	1794	NUM
esrj-65185	10	32	-	-	SYM
esrj-65185	10	33	6190	6190	NUM
esrj-65185	10	34	e	e	NOUN
esrj-65185	10	35	-	-	NOUN
esrj-65185	10	36	issn	issn	PROPN
esrj-65185	10	37	2339	2339	NUM
esrj-65185	10	38	-	-	SYM
esrj-65185	10	39	3459	3459	NUM
esrj-65185	10	40	http://dx.doi.org/10.15446/esrj.v21n2.65185	http://dx.doi.org/10.15446/esrj.v21n2.65185	NOUN
esrj-65185	10	41	m	m	NOUN
esrj-65185	10	42	e	e	NOUN
esrj-65185	10	43	t	t	NOUN
esrj-65185	10	44	e	e	X
esrj-65185	10	45	o	o	NOUN
esrj-65185	11	1	r	r	NOUN
esrj-65185	11	2	o	o	NOUN
esrj-65185	11	3	l	l	NOUN
esrj-65185	11	4	o	o	X
esrj-65185	11	5	g	g	PROPN
esrj-65185	11	6	y	y	PROPN
esrj-65185	11	7	earth	earth	PROPN
esrj-65185	11	8	sciences	sciences	PROPN
esrj-65185	11	9	research	research	PROPN
esrj-65185	11	10	journal	journal	PROPN
esrj-65185	11	11	earth	earth	PROPN
esrj-65185	11	12	sci	sci	PROPN
esrj-65185	11	13	.	.	PUNCT
esrj-65185	12	1	res	res	PROPN
esrj-65185	12	2	.	.	PUNCT
esrj-65185	13	1	j.	j.	PROPN
esrj-65185	13	2	vol	vol	PROPN
esrj-65185	13	3	.	.	PROPN
esrj-65185	14	1	21	21	NUM
esrj-65185	14	2	,	,	PUNCT
esrj-65185	14	3	no	no	INTJ
esrj-65185	14	4	.	.	NOUN
esrj-65185	14	5	2	2	NUM
esrj-65185	14	6	(	(	PUNCT
esrj-65185	14	7	june	june	PROPN
esrj-65185	14	8	,	,	PUNCT
esrj-65185	14	9	2017	2017	NUM
esrj-65185	14	10	):	):	PUNCT
esrj-65185	14	11	xiaoling	xiaoling	NOUN
esrj-65185	14	12	ye1,2	ye1,2	NOUN
esrj-65185	14	13	,	,	PUNCT
esrj-65185	14	14	xing	xing	PROPN
esrj-65185	14	15	yang1	yang1	PROPN
esrj-65185	14	16	*	*	PROPN
esrj-65185	14	17	,	,	PUNCT
esrj-65185	14	18	xiong	xiong	PROPN
esrj-65185	14	19	xiong1	xiong1	PROPN
esrj-65185	14	20	,	,	PUNCT
esrj-65185	14	21	shuai	shuai	PROPN
esrj-65185	14	22	yang1	yang1	PROPN
esrj-65185	14	23	,	,	PUNCT
esrj-65185	14	24	yang	yang	PROPN
esrj-65185	14	25	chen1	chen1	PROPN
esrj-65185	15	1	1school	1school	NUM
esrj-65185	15	2	of	of	ADP
esrj-65185	15	3	information	information	NOUN
esrj-65185	15	4	and	and	CCONJ
esrj-65185	15	5	control	control	NOUN
esrj-65185	15	6	,	,	PUNCT
esrj-65185	15	7	nanjing	nanjing	PROPN
esrj-65185	15	8	university	university	PROPN
esrj-65185	15	9	of	of	ADP
esrj-65185	15	10	information	information	NOUN
esrj-65185	15	11	science	science	NOUN
esrj-65185	15	12	and	and	CCONJ
esrj-65185	15	13	technology	technology	NOUN
esrj-65185	15	14	,	,	PUNCT
esrj-65185	15	15	nanjing	nanjing	PROPN
esrj-65185	15	16	210044	210044	NUM
esrj-65185	15	17	,	,	PUNCT
esrj-65185	15	18	china	china	PROPN
esrj-65185	15	19	2collaborative	2collaborative	NUM
esrj-65185	15	20	innovation	innovation	NOUN
esrj-65185	15	21	center	center	NOUN
esrj-65185	15	22	on	on	ADP
esrj-65185	15	23	forecast	forecast	NOUN
esrj-65185	15	24	and	and	CCONJ
esrj-65185	15	25	evaluation	evaluation	NOUN
esrj-65185	15	26	of	of	ADP
esrj-65185	15	27	meteorological	meteorological	ADJ
esrj-65185	15	28	disasters	disaster	NOUN
esrj-65185	15	29	,	,	PUNCT
esrj-65185	15	30	nanjing	nanjing	PROPN
esrj-65185	15	31	university	university	PROPN
esrj-65185	15	32	of	of	ADP
esrj-65185	15	33	information	information	NOUN
esrj-65185	15	34	science	science	NOUN
esrj-65185	15	35	and	and	CCONJ
esrj-65185	15	36	technology	technology	NOUN
esrj-65185	15	37	,	,	PUNCT
esrj-65185	15	38	nanjing	nanjing	PROPN
esrj-65185	15	39	210044	210044	NUM
esrj-65185	15	40	,	,	PUNCT
esrj-65185	15	41	china	china	PROPN
esrj-65185	15	42	*	*	PUNCT
esrj-65185	15	43	email	email	NOUN
esrj-65185	15	44	of	of	ADP
esrj-65185	15	45	corresponding	corresponding	ADJ
esrj-65185	15	46	author	author	NOUN
esrj-65185	15	47	:	:	PUNCT
esrj-65185	16	1	harryyangx@gmail.com	harryyangx@gmail.com	PROPN
esrj-65185	16	2	el	el	PROPN
esrj-65185	16	3	control	control	PROPN
esrj-65185	16	4	de	de	PROPN
esrj-65185	16	5	calidad	calidad	PROPN
esrj-65185	16	6	puede	puede	PROPN
esrj-65185	16	7	mejorar	mejorar	PROPN
esrj-65185	16	8	efectivamente	efectivamente	PROPN
esrj-65185	16	9	la	la	X
esrj-65185	16	10	calidad	calidad	PROPN
esrj-65185	16	11	de	de	PROPN
esrj-65185	16	12	las	las	PROPN
esrj-65185	16	13	observaciones	observacione	NOUN
esrj-65185	16	14	meteorológicas	meteorológicas	PROPN
esrj-65185	16	15	.	.	PUNCT
esrj-65185	17	1	para	para	PROPN
esrj-65185	17	2	asegurar	asegurar	PROPN
esrj-65185	17	3	la	la	PROPN
esrj-65185	17	4	estabilidad	estabilidad	PROPN
esrj-65185	17	5	y	y	PROPN
esrj-65185	17	6	efectividad	efectividad	PROPN
esrj-65185	17	7	de	de	PROPN
esrj-65185	17	8	un	un	PROPN
esrj-65185	17	9	modelo	modelo	PROPN
esrj-65185	17	10	de	de	PROPN
esrj-65185	17	11	control	control	PROPN
esrj-65185	17	12	de	de	PROPN
esrj-65185	17	13	calidad	calidad	PROPN
esrj-65185	17	14	bajo	bajo	PROPN
esrj-65185	17	15	condiciones	condiciones	PROPN
esrj-65185	17	16	diferentes	diferentes	PROPN
esrj-65185	17	17	de	de	PROPN
esrj-65185	17	18	terreno	terreno	PROPN
esrj-65185	17	19	y	y	PROPN
esrj-65185	17	20	climáticas	climáticas	PROPN
esrj-65185	17	21	es	es	PROPN
esrj-65185	17	22	necesario	necesario	PROPN
esrj-65185	17	23	estructurar	estructurar	PROPN
esrj-65185	17	24	un	un	PROPN
esrj-65185	17	25	esquema	esquema	PROPN
esrj-65185	17	26	con	con	PROPN
esrj-65185	17	27	una	una	PROPN
esrj-65185	17	28	fuerte	fuerte	PROPN
esrj-65185	17	29	habilidad	habilidad	PROPN
esrj-65185	17	30	de	de	PROPN
esrj-65185	17	31	generalización	generalización	PROPN
esrj-65185	17	32	.	.	PROPN
esrj-65185	18	1	algoritmos	algoritmos	PROPN
esrj-65185	18	2	como	como	PROPN
esrj-65185	18	3	el	el	PROPN
esrj-65185	18	4	método	método	PROPN
esrj-65185	18	5	de	de	X
esrj-65185	18	6	bosques	bosques	X
esrj-65185	18	7	aleatorios	aleatorio	NOUN
esrj-65185	18	8	(	(	PUNCT
esrj-65185	18	9	del	del	X
esrj-65185	18	10	inglés	inglés	X
esrj-65185	18	11	random	random	ADJ
esrj-65185	18	12	forest	forest	NOUN
esrj-65185	18	13	)	)	PUNCT
esrj-65185	19	1	cumplen	cumplen	NOUN
esrj-65185	19	2	con	con	PROPN
esrj-65185	19	3	estas	estas	PROPN
esrj-65185	19	4	condiciones	condicione	NOUN
esrj-65185	19	5	.	.	PUNCT
esrj-65185	20	1	sin	sin	NOUN
esrj-65185	20	2	embargo	embargo	NOUN
esrj-65185	20	3	,	,	PUNCT
esrj-65185	20	4	los	los	PROPN
esrj-65185	20	5	algoritmos	algoritmos	PROPN
esrj-65185	20	6	de	de	PROPN
esrj-65185	20	7	maquinas	maquinas	PROPN
esrj-65185	20	8	de	de	PROPN
esrj-65185	20	9	aprendizaje	aprendizaje	PROPN
esrj-65185	20	10	son	son	NOUN
esrj-65185	20	11	más	más	PROPN
esrj-65185	20	12	lentos	lentos	PROPN
esrj-65185	20	13	que	que	PROPN
esrj-65185	20	14	los	los	PROPN
esrj-65185	20	15	modelos	modelos	PROPN
esrj-65185	20	16	matemáticos	matemáticos	PROPN
esrj-65185	20	17	tradicionales	tradicionales	PROPN
esrj-65185	20	18	.	.	PUNCT
esrj-65185	21	1	en	en	ADP
esrj-65185	21	2	este	este	PROPN
esrj-65185	21	3	artículo	artículo	PROPN
esrj-65185	21	4	se	se	PROPN
esrj-65185	21	5	propone	propone	PROPN
esrj-65185	21	6	un	un	PROPN
esrj-65185	21	7	algoritmo	algoritmo	PROPN
esrj-65185	21	8	de	de	PROPN
esrj-65185	21	9	control	control	PROPN
esrj-65185	21	10	de	de	PROPN
esrj-65185	21	11	calidad	calidad	PROPN
esrj-65185	21	12	tipo	tipo	PROPN
esrj-65185	21	13	bosques	bosque	VERB
esrj-65185	21	14	aleatorios	aleatorios	PROPN
esrj-65185	21	15	basado	basado	PROPN
esrj-65185	21	16	en	en	PROPN
esrj-65185	21	17	el	el	PROPN
esrj-65185	21	18	análisis	análisis	PROPN
esrj-65185	21	19	de	de	PROPN
esrj-65185	21	20	componentes	componente	NOUN
esrj-65185	21	21	principales	principale	NOUN
esrj-65185	21	22	(	(	PUNCT
esrj-65185	21	23	pca	pca	NOUN
esrj-65185	21	24	-	-	PUNCT
esrj-65185	21	25	rf	rf	NOUN
esrj-65185	21	26	)	)	PUNCT
esrj-65185	21	27	.	.	PUNCT
esrj-65185	22	1	se	se	PROPN
esrj-65185	22	2	seleccionaron	seleccionaron	PROPN
esrj-65185	22	3	15	15	NUM
esrj-65185	22	4	estaciones	estaciones	PROPN
esrj-65185	22	5	objetivo	objetivo	PROPN
esrj-65185	22	6	bajo	bajo	PROPN
esrj-65185	22	7	diferentes	diferentes	PROPN
esrj-65185	22	8	condiciones	condicione	NOUN
esrj-65185	22	9	climáticas	climática	NOUN
esrj-65185	22	10	y	y	PROPN
esrj-65185	22	11	geomorfológicas	geomorfológicas	PROPN
esrj-65185	22	12	y	y	PROPN
esrj-65185	22	13	se	se	PROPN
esrj-65185	22	14	evaluaron	evaluaron	PROPN
esrj-65185	22	15	con	con	PROPN
esrj-65185	22	16	observaciones	observacione	NOUN
esrj-65185	22	17	realizadas	realizada	NOUN
esrj-65185	22	18	cuatro	cuatro	NOUN
esrj-65185	22	19	veces	vece	NOUN
esrj-65185	22	20	por	por	NOUN
esrj-65185	22	21	día	día	PROPN
esrj-65185	22	22	en	en	PROPN
esrj-65185	22	23	estaciones	estaciones	PROPN
esrj-65185	22	24	vecinas	vecinas	PROPN
esrj-65185	22	25	desde	desde	PROPN
esrj-65185	22	26	2005	2005	NUM
esrj-65185	22	27	hasta	hasta	NOUN
esrj-65185	22	28	2014	2014	NUM
esrj-65185	22	29	.	.	PUNCT
esrj-65185	23	1	los	los	PROPN
esrj-65185	23	2	resultados	resultado	VERB
esrj-65185	23	3	muestran	muestran	ADJ
esrj-65185	23	4	que	que	PROPN
esrj-65185	23	5	usando	usando	PROPN
esrj-65185	23	6	pca	pca	PROPN
esrj-65185	23	7	para	para	PROPN
esrj-65185	23	8	analizar	analizar	NOUN
esrj-65185	23	9	la	la	PROPN
esrj-65185	23	10	composición	composición	PROPN
esrj-65185	23	11	elemental	elemental	PROPN
esrj-65185	23	12	y	y	PROPN
esrj-65185	23	13	seleccionar	seleccionar	PROPN
esrj-65185	23	14	elementos	elementos	PROPN
esrj-65185	23	15	con	con	PROPN
esrj-65185	23	16	factores	factores	PROPN
esrj-65185	23	17	de	de	PROPN
esrj-65185	23	18	correlación	correlación	PROPN
esrj-65185	23	19	alta	alta	PROPN
esrj-65185	23	20	,	,	PUNCT
esrj-65185	23	21	al	al	PROPN
esrj-65185	23	22	igual	igual	PROPN
esrj-65185	23	23	que	que	PROPN
esrj-65185	23	24	la	la	PROPN
esrj-65185	23	25	aplicación	aplicación	PROPN
esrj-65185	23	26	del	del	PROPN
esrj-65185	23	27	algoritmo	algoritmo	PROPN
esrj-65185	23	28	random	random	ADJ
esrj-65185	23	29	forest	forest	NOUN
esrj-65185	23	30	,	,	PUNCT
esrj-65185	23	31	se	se	X
esrj-65185	23	32	puede	puede	PROPN
esrj-65185	23	33	reducir	reducir	PROPN
esrj-65185	23	34	efectivamente	efectivamente	PROPN
esrj-65185	23	35	el	el	PROPN
esrj-65185	23	36	tiempo	tiempo	PROPN
esrj-65185	23	37	de	de	PROPN
esrj-65185	23	38	ejecución	ejecución	PROPN
esrj-65185	23	39	y	y	PROPN
esrj-65185	23	40	mantener	mantener	PROPN
esrj-65185	23	41	la	la	PROPN
esrj-65185	23	42	exactitud	exactitud	PROPN
esrj-65185	23	43	del	del	PROPN
esrj-65185	23	44	modelo	modelo	PROPN
esrj-65185	23	45	.	.	PUNCT
esrj-65185	24	1	la	la	PROPN
esrj-65185	24	2	dependencia	dependencia	PROPN
esrj-65185	24	3	de	de	X
esrj-65185	24	4	la	la	X
esrj-65185	24	5	muestra	muestra	PROPN
esrj-65185	24	6	de	de	PROPN
esrj-65185	24	7	prueba	prueba	PROPN
esrj-65185	24	8	,	,	PUNCT
esrj-65185	24	9	la	la	X
esrj-65185	24	10	exactitud	exactitud	X
esrj-65185	24	11	del	del	PROPN
esrj-65185	24	12	modelo	modelo	PROPN
esrj-65185	24	13	de	de	PROPN
esrj-65185	24	14	predicción	predicción	PROPN
esrj-65185	24	15	y	y	PROPN
esrj-65185	24	16	la	la	PROPN
esrj-65185	24	17	tasa	tasa	PROPN
esrj-65185	24	18	de	de	X
esrj-65185	24	19	detección	detección	PROPN
esrj-65185	24	20	de	de	X
esrj-65185	24	21	error	error	PROPN
esrj-65185	24	22	del	del	PROPN
esrj-65185	24	23	modelo	modelo	PROPN
esrj-65185	24	24	pca	pca	PROPN
esrj-65185	24	25	-	-	PUNCT
esrj-65185	24	26	rf	rf	PROPN
esrj-65185	24	27	son	son	NOUN
esrj-65185	24	28	superiores	superiore	VERB
esrj-65185	24	29	a	a	DET
esrj-65185	24	30	aquellos	aquellos	PROPN
esrj-65185	24	31	del	del	X
esrj-65185	24	32	método	método	PROPN
esrj-65185	24	33	de	de	PROPN
esrj-65185	24	34	regresión	regresión	PROPN
esrj-65185	24	35	espacial	espacial	NOUN
esrj-65185	24	36	.	.	PUNCT
esrj-65185	25	1	por	por	NOUN
esrj-65185	25	2	lo	lo	PROPN
esrj-65185	25	3	tanto	tanto	NOUN
esrj-65185	25	4	,	,	PUNCT
esrj-65185	25	5	el	el	PROPN
esrj-65185	25	6	método	método	PROPN
esrj-65185	25	7	pca	pca	PROPN
esrj-65185	25	8	-	-	PUNCT
esrj-65185	25	9	rf	rf	NOUN
esrj-65185	25	10	es	es	X
esrj-65185	25	11	un	un	PROPN
esrj-65185	25	12	mejor	mejor	PROPN
esrj-65185	25	13	modelo	modelo	PROPN
esrj-65185	25	14	para	para	PROPN
esrj-65185	25	15	el	el	PROPN
esrj-65185	25	16	control	control	PROPN
esrj-65185	25	17	de	de	PROPN
esrj-65185	25	18	calidad	calidad	PROPN
esrj-65185	25	19	de	de	PROPN
esrj-65185	25	20	elementos	elementos	PROPN
esrj-65185	25	21	múltiples	múltiples	PROPN
esrj-65185	25	22	en	en	PROPN
esrj-65185	25	23	las	las	PROPN
esrj-65185	25	24	observaciones	observacione	NOUN
esrj-65185	25	25	superficiales	superficiales	PROPN
esrj-65185	25	26	de	de	PROPN
esrj-65185	25	27	aire	aire	PROPN
esrj-65185	25	28	y	y	PROPN
esrj-65185	25	29	temperatura	temperatura	PROPN
esrj-65185	25	30	.	.	PUNCT
esrj-65185	26	1	resumen	resumen	PROPN
esrj-65185	26	2	palabras	palabras	PROPN
esrj-65185	26	3	clave	clave	PROPN
esrj-65185	26	4	:	:	PUNCT
esrj-65185	26	5	método	método	NOUN
esrj-65185	26	6	de	de	X
esrj-65185	26	7	control	control	PROPN
esrj-65185	26	8	de	de	PROPN
esrj-65185	26	9	calidad	calidad	PROPN
esrj-65185	26	10	espacial	espacial	PROPN
esrj-65185	26	11	para	para	PROPN
esrj-65185	26	12	observaciones	observacione	NOUN
esrj-65185	26	13	de	de	X
esrj-65185	26	14	temperatura	temperatura	PROPN
esrj-65185	26	15	superficial	superficial	PROPN
esrj-65185	26	16	basado	basado	PROPN
esrj-65185	26	17	en	en	PROPN
esrj-65185	26	18	múltiples	múltiples	PROPN
esrj-65185	26	19	elementos	elementos	PROPN
esrj-65185	26	20	record	record	PROPN
esrj-65185	26	21	manuscript	manuscript	NOUN
esrj-65185	26	22	received	receive	VERB
esrj-65185	26	23	:	:	PUNCT
esrj-65185	26	24	23/05/2017	23/05/2017	NUM
esrj-65185	26	25	accepted	accept	VERB
esrj-65185	26	26	for	for	ADP
esrj-65185	26	27	publication	publication	NOUN
esrj-65185	26	28	:	:	PUNCT
esrj-65185	26	29	30/06/2017	30/06/2017	NUM
esrj-65185	26	30	how	how	SCONJ
esrj-65185	26	31	to	to	PART
esrj-65185	26	32	cite	cite	VERB
esrj-65185	26	33	item	item	NOUN
esrj-65185	26	34	:	:	PUNCT
esrj-65185	26	35	ye	ye	NOUN
esrj-65185	26	36	,	,	PUNCT
esrj-65185	26	37	x.	x.	PROPN
esrj-65185	26	38	,	,	PUNCT
esrj-65185	26	39	yang	yang	PROPN
esrj-65185	26	40	,	,	PUNCT
esrj-65185	26	41	x.	x.	PROPN
esrj-65185	26	42	,	,	PUNCT
esrj-65185	26	43	xiong	xiong	PROPN
esrj-65185	26	44	,	,	PUNCT
esrj-65185	26	45	x.	x.	PROPN
esrj-65185	26	46	,	,	PUNCT
esrj-65185	26	47	yang	yang	PROPN
esrj-65185	26	48	,	,	PUNCT
esrj-65185	26	49	s.	s.	PROPN
esrj-65185	26	50	,	,	PUNCT
esrj-65185	26	51	&	&	CCONJ
esrj-65185	26	52	chen	chen	PROPN
esrj-65185	26	53	,	,	PUNCT
esrj-65185	26	54	y.	y.	PROPN
esrj-65185	26	55	(	(	PUNCT
esrj-65185	26	56	2017	2017	NUM
esrj-65185	26	57	)	)	PUNCT
esrj-65185	26	58	.	.	PUNCT
esrj-65185	27	1	spatial	spatial	ADJ
esrj-65185	27	2	quality	quality	NOUN
esrj-65185	27	3	control	control	NOUN
esrj-65185	27	4	method	method	NOUN
esrj-65185	27	5	for	for	ADP
esrj-65185	27	6	surface	surface	NOUN
esrj-65185	27	7	temperature	temperature	NOUN
esrj-65185	27	8	observations	observation	NOUN
esrj-65185	27	9	based	base	VERB
esrj-65185	27	10	on	on	ADP
esrj-65185	27	11	multiple	multiple	ADJ
esrj-65185	27	12	elements	element	NOUN
esrj-65185	27	13	.	.	PUNCT
esrj-65185	28	1	earth	earth	NOUN
esrj-65185	28	2	sciences	sciences	PROPN
esrj-65185	28	3	research	research	PROPN
esrj-65185	28	4	journal	journal	PROPN
esrj-65185	28	5	,	,	PUNCT
esrj-65185	28	6	21(2	21(2	NUM
esrj-65185	28	7	)	)	PUNCT
esrj-65185	28	8	,	,	PUNCT
esrj-65185	28	9	95	95	NUM
esrj-65185	28	10	99	99	NUM
esrj-65185	28	11	.	.	PUNCT
esrj-65185	29	1	doi	doi	NOUN
esrj-65185	29	2	:	:	PUNCT
esrj-65185	29	3	http://dx.doi.org/10.15446	http://dx.doi.org/10.15446	ADJ
esrj-65185	29	4	/	/	SYM
esrj-65185	29	5	esrj.v21n2.65185	esrj.v21n2.65185	NOUN
esrj-65185	29	6	método	método	X
esrj-65185	29	7	de	de	X
esrj-65185	29	8	control	control	PROPN
esrj-65185	29	9	de	de	X
esrj-65185	29	10	calidad	calidad	PROPN
esrj-65185	29	11	espacial	espacial	PROPN
esrj-65185	29	12	para	para	PROPN
esrj-65185	29	13	observaciones	observacione	NOUN
esrj-65185	29	14	de	de	X
esrj-65185	29	15	temperatura	temperatura	PROPN
esrj-65185	29	16	superficial	superficial	PROPN
esrj-65185	29	17	basado	basado	PROPN
esrj-65185	29	18	en	en	PROPN
esrj-65185	29	19	múltiples	múltiples	PROPN
esrj-65185	29	20	elementos	elementos	PROPN
esrj-65185	29	21	102	102	NUM
esrj-65185	29	22	xiaoling	xiaoling	NOUN
esrj-65185	29	23	ye	ye	PROPN
esrj-65185	29	24	,	,	PUNCT
esrj-65185	29	25	xing	xing	PROPN
esrj-65185	29	26	yang	yang	PROPN
esrj-65185	29	27	,	,	PUNCT
esrj-65185	29	28	xiong	xiong	PROPN
esrj-65185	29	29	xiong	xiong	PROPN
esrj-65185	29	30	,	,	PUNCT
esrj-65185	29	31	shuai	shuai	PROPN
esrj-65185	29	32	yang	yang	PROPN
esrj-65185	29	33	and	and	CCONJ
esrj-65185	29	34	yang	yang	PROPN
esrj-65185	29	35	chen102	chen102	PROPN
esrj-65185	29	36	1	1	NUM
esrj-65185	29	37	.	.	PUNCT
esrj-65185	30	1	introduction	introduction	NOUN
esrj-65185	30	2	meteorological	meteorological	ADJ
esrj-65185	30	3	observations	observation	NOUN
esrj-65185	30	4	are	be	AUX
esrj-65185	30	5	important	important	ADJ
esrj-65185	30	6	for	for	ADP
esrj-65185	30	7	identifying	identify	VERB
esrj-65185	30	8	and	and	CCONJ
esrj-65185	30	9	understanding	understand	VERB
esrj-65185	30	10	variations	variation	NOUN
esrj-65185	30	11	and	and	CCONJ
esrj-65185	30	12	changes	change	NOUN
esrj-65185	30	13	in	in	ADP
esrj-65185	30	14	regional	regional	ADJ
esrj-65185	30	15	and	and	CCONJ
esrj-65185	30	16	global	global	ADJ
esrj-65185	30	17	climate	climate	NOUN
esrj-65185	30	18	(	(	PUNCT
esrj-65185	30	19	feng	feng	PROPN
esrj-65185	30	20	et	et	PROPN
esrj-65185	30	21	al	al	PROPN
esrj-65185	30	22	.	.	PROPN
esrj-65185	30	23	,	,	PUNCT
esrj-65185	30	24	2004	2004	NUM
esrj-65185	30	25	)	)	PUNCT
esrj-65185	30	26	.	.	PUNCT
esrj-65185	31	1	these	these	DET
esrj-65185	31	2	observations	observation	NOUN
esrj-65185	31	3	are	be	AUX
esrj-65185	31	4	also	also	ADV
esrj-65185	31	5	essential	essential	ADJ
esrj-65185	31	6	to	to	ADP
esrj-65185	31	7	a	a	DET
esrj-65185	31	8	wide	wide	ADJ
esrj-65185	31	9	range	range	NOUN
esrj-65185	31	10	of	of	ADP
esrj-65185	31	11	meteorological	meteorological	ADJ
esrj-65185	31	12	applications	application	NOUN
esrj-65185	31	13	,	,	PUNCT
esrj-65185	31	14	such	such	ADJ
esrj-65185	31	15	as	as	ADP
esrj-65185	31	16	climate	climate	NOUN
esrj-65185	31	17	monitoring	monitoring	NOUN
esrj-65185	31	18	,	,	PUNCT
esrj-65185	31	19	weather	weather	NOUN
esrj-65185	31	20	forecasting	forecasting	NOUN
esrj-65185	31	21	and	and	CCONJ
esrj-65185	31	22	the	the	DET
esrj-65185	31	23	evaluation	evaluation	NOUN
esrj-65185	31	24	of	of	ADP
esrj-65185	31	25	numerical	numerical	ADJ
esrj-65185	31	26	weather	weather	PROPN
esrj-65185	31	27	prediction	prediction	NOUN
esrj-65185	31	28	(	(	PUNCT
esrj-65185	31	29	nwp	nwp	NOUN
esrj-65185	31	30	)	)	PUNCT
esrj-65185	31	31	models	model	NOUN
esrj-65185	31	32	(	(	PUNCT
esrj-65185	31	33	he	he	PRON
esrj-65185	31	34	et	et	PROPN
esrj-65185	31	35	al	al	PROPN
esrj-65185	31	36	.	.	PROPN
esrj-65185	31	37	,	,	PUNCT
esrj-65185	31	38	2016	2016	NUM
esrj-65185	31	39	;	;	PUNCT
esrj-65185	31	40	ingleby	ingleby	ADJ
esrj-65185	31	41	and	and	CCONJ
esrj-65185	31	42	lorenc	lorenc	ADJ
esrj-65185	31	43	,	,	PUNCT
esrj-65185	31	44	1993	1993	NUM
esrj-65185	31	45	)	)	PUNCT
esrj-65185	31	46	.	.	PUNCT
esrj-65185	32	1	therefore	therefore	ADV
esrj-65185	32	2	,	,	PUNCT
esrj-65185	32	3	it	it	PRON
esrj-65185	32	4	is	be	AUX
esrj-65185	32	5	of	of	ADP
esrj-65185	32	6	particular	particular	ADJ
esrj-65185	32	7	importance	importance	NOUN
esrj-65185	32	8	to	to	PART
esrj-65185	32	9	improve	improve	VERB
esrj-65185	32	10	the	the	DET
esrj-65185	32	11	accuracy	accuracy	NOUN
esrj-65185	32	12	of	of	ADP
esrj-65185	32	13	meteorological	meteorological	ADJ
esrj-65185	32	14	observations	observation	NOUN
esrj-65185	32	15	,	,	PUNCT
esrj-65185	32	16	especially	especially	ADV
esrj-65185	32	17	surface	surface	NOUN
esrj-65185	32	18	observations	observation	NOUN
esrj-65185	32	19	(	(	PUNCT
esrj-65185	32	20	barnes	barne	NOUN
esrj-65185	32	21	,	,	PUNCT
esrj-65185	32	22	1964	1964	NUM
esrj-65185	32	23	;	;	PUNCT
esrj-65185	32	24	gandin	gandin	VERB
esrj-65185	32	25	,	,	PUNCT
esrj-65185	32	26	1988	1988	NUM
esrj-65185	32	27	)	)	PUNCT
esrj-65185	32	28	.	.	PUNCT
esrj-65185	33	1	on	on	ADP
esrj-65185	33	2	the	the	DET
esrj-65185	33	3	one	one	NUM
esrj-65185	33	4	hand	hand	NOUN
esrj-65185	33	5	,	,	PUNCT
esrj-65185	33	6	surface	surface	NOUN
esrj-65185	33	7	meteorological	meteorological	ADJ
esrj-65185	33	8	observations	observation	NOUN
esrj-65185	33	9	have	have	VERB
esrj-65185	33	10	a	a	DET
esrj-65185	33	11	longterm	longterm	ADJ
esrj-65185	33	12	history	history	NOUN
esrj-65185	33	13	in	in	ADP
esrj-65185	33	14	china	china	PROPN
esrj-65185	33	15	.	.	PUNCT
esrj-65185	34	1	on	on	ADP
esrj-65185	34	2	the	the	DET
esrj-65185	34	3	contrary	contrary	NOUN
esrj-65185	34	4	,	,	PUNCT
esrj-65185	34	5	surface	surface	NOUN
esrj-65185	34	6	meteorological	meteorological	ADJ
esrj-65185	34	7	observations	observation	NOUN
esrj-65185	34	8	can	can	AUX
esrj-65185	34	9	more	more	ADV
esrj-65185	34	10	accurately	accurately	ADV
esrj-65185	34	11	represent	represent	VERB
esrj-65185	34	12	the	the	DET
esrj-65185	34	13	atmospheric	atmospheric	ADJ
esrj-65185	34	14	characteristics	characteristic	NOUN
esrj-65185	34	15	of	of	ADP
esrj-65185	34	16	the	the	DET
esrj-65185	34	17	nearsurface	nearsurface	NOUN
esrj-65185	34	18	compared	compare	VERB
esrj-65185	34	19	to	to	ADP
esrj-65185	34	20	other	other	ADJ
esrj-65185	34	21	meteorological	meteorological	ADJ
esrj-65185	34	22	observations	observation	NOUN
esrj-65185	34	23	(	(	PUNCT
esrj-65185	34	24	xu	xu	INTJ
esrj-65185	34	25	et	et	PROPN
esrj-65185	34	26	al	al	PROPN
esrj-65185	34	27	.	.	PROPN
esrj-65185	34	28	,	,	PUNCT
esrj-65185	34	29	2013	2013	NUM
esrj-65185	34	30	;	;	PUNCT
esrj-65185	34	31	hu	hu	PROPN
esrj-65185	34	32	et	et	PROPN
esrj-65185	34	33	al	al	PROPN
esrj-65185	34	34	.	.	PROPN
esrj-65185	34	35	,	,	PUNCT
esrj-65185	34	36	2002	2002	NUM
esrj-65185	34	37	;	;	PUNCT
esrj-65185	34	38	mi	mi	PROPN
esrj-65185	34	39	et	et	PROPN
esrj-65185	34	40	al	al	PROPN
esrj-65185	34	41	.	.	PROPN
esrj-65185	34	42	,	,	PUNCT
esrj-65185	34	43	2014	2014	NUM
esrj-65185	34	44	)	)	PUNCT
esrj-65185	34	45	.	.	PUNCT
esrj-65185	35	1	however	however	ADV
esrj-65185	35	2	,	,	PUNCT
esrj-65185	35	3	surface	surface	NOUN
esrj-65185	35	4	observation	observation	NOUN
esrj-65185	35	5	stations	station	NOUN
esrj-65185	35	6	are	be	AUX
esrj-65185	35	7	easily	easily	ADV
esrj-65185	35	8	affected	affect	VERB
esrj-65185	35	9	by	by	ADP
esrj-65185	35	10	the	the	DET
esrj-65185	35	11	gross	gross	ADJ
esrj-65185	35	12	error	error	NOUN
esrj-65185	35	13	and	and	CCONJ
esrj-65185	35	14	random	random	ADJ
esrj-65185	35	15	error	error	NOUN
esrj-65185	35	16	during	during	ADP
esrj-65185	35	17	the	the	DET
esrj-65185	35	18	data	data	NOUN
esrj-65185	35	19	acquisition	acquisition	NOUN
esrj-65185	35	20	process	process	NOUN
esrj-65185	35	21	.	.	PUNCT
esrj-65185	36	1	thus	thus	ADV
esrj-65185	36	2	,	,	PUNCT
esrj-65185	36	3	the	the	DET
esrj-65185	36	4	primary	primary	ADJ
esrj-65185	36	5	task	task	NOUN
esrj-65185	36	6	and	and	CCONJ
esrj-65185	36	7	purpose	purpose	NOUN
esrj-65185	36	8	of	of	ADP
esrj-65185	36	9	quality	quality	NOUN
esrj-65185	36	10	control	control	NOUN
esrj-65185	36	11	(	(	PUNCT
esrj-65185	36	12	qc	qc	PROPN
esrj-65185	36	13	)	)	PUNCT
esrj-65185	36	14	are	be	AUX
esrj-65185	36	15	to	to	PART
esrj-65185	36	16	identify	identify	VERB
esrj-65185	36	17	the	the	DET
esrj-65185	36	18	gross	gross	ADJ
esrj-65185	36	19	error	error	NOUN
esrj-65185	36	20	and	and	CCONJ
esrj-65185	36	21	large	large	ADJ
esrj-65185	36	22	random	random	ADJ
esrj-65185	36	23	error	error	NOUN
esrj-65185	36	24	associated	associate	VERB
esrj-65185	36	25	with	with	ADP
esrj-65185	36	26	large	large	ADJ
esrj-65185	36	27	numbers	number	NOUN
esrj-65185	36	28	of	of	ADP
esrj-65185	36	29	observations	observation	NOUN
esrj-65185	36	30	(	(	PUNCT
esrj-65185	36	31	shi	shi	PROPN
esrj-65185	36	32	-	-	PUNCT
esrj-65185	36	33	wei	wei	PROPN
esrj-65185	36	34	et	et	PROPN
esrj-65185	36	35	al	al	PROPN
esrj-65185	36	36	.	.	PROPN
esrj-65185	36	37	,	,	PUNCT
esrj-65185	36	38	2009	2009	NUM
esrj-65185	36	39	)	)	PUNCT
esrj-65185	36	40	.	.	PUNCT
esrj-65185	37	1	in	in	ADP
esrj-65185	37	2	surface	surface	NOUN
esrj-65185	37	3	meteorological	meteorological	ADJ
esrj-65185	37	4	observations	observation	NOUN
esrj-65185	37	5	,	,	PUNCT
esrj-65185	37	6	air	air	NOUN
esrj-65185	37	7	temperature	temperature	NOUN
esrj-65185	37	8	is	be	AUX
esrj-65185	37	9	one	one	NUM
esrj-65185	37	10	of	of	ADP
esrj-65185	37	11	the	the	DET
esrj-65185	37	12	most	most	ADV
esrj-65185	37	13	important	important	ADJ
esrj-65185	37	14	elements	element	NOUN
esrj-65185	37	15	because	because	SCONJ
esrj-65185	37	16	it	it	PRON
esrj-65185	37	17	has	have	VERB
esrj-65185	37	18	a	a	DET
esrj-65185	37	19	considerable	considerable	ADJ
esrj-65185	37	20	impact	impact	NOUN
esrj-65185	37	21	on	on	ADP
esrj-65185	37	22	human	human	ADJ
esrj-65185	37	23	activity	activity	NOUN
esrj-65185	37	24	(	(	PUNCT
esrj-65185	37	25	cheng	cheng	PROPN
esrj-65185	37	26	et	et	PROPN
esrj-65185	37	27	al	al	PROPN
esrj-65185	37	28	.	.	PROPN
esrj-65185	37	29	,	,	PUNCT
esrj-65185	37	30	2016	2016	NUM
esrj-65185	37	31	)	)	PUNCT
esrj-65185	37	32	.	.	PUNCT
esrj-65185	38	1	hence	hence	ADV
esrj-65185	38	2	,	,	PUNCT
esrj-65185	38	3	a	a	DET
esrj-65185	38	4	variety	variety	NOUN
esrj-65185	38	5	of	of	ADP
esrj-65185	38	6	qc	qc	PROPN
esrj-65185	38	7	methods	method	NOUN
esrj-65185	38	8	has	have	AUX
esrj-65185	38	9	been	be	AUX
esrj-65185	38	10	recently	recently	ADV
esrj-65185	38	11	proposed	propose	VERB
esrj-65185	38	12	for	for	ADP
esrj-65185	38	13	surface	surface	NOUN
esrj-65185	38	14	air	air	NOUN
esrj-65185	38	15	temperature	temperature	NOUN
esrj-65185	38	16	observations	observation	NOUN
esrj-65185	38	17	.	.	PUNCT
esrj-65185	39	1	the	the	DET
esrj-65185	39	2	qc	qc	PROPN
esrj-65185	39	3	methods	method	NOUN
esrj-65185	39	4	include	include	VERB
esrj-65185	39	5	the	the	DET
esrj-65185	39	6	extreme	extreme	ADJ
esrj-65185	39	7	range	range	NOUN
esrj-65185	39	8	check	check	NOUN
esrj-65185	39	9	(	(	PUNCT
esrj-65185	39	10	reek	reek	NOUN
esrj-65185	39	11	et	et	PROPN
esrj-65185	39	12	al	al	PROPN
esrj-65185	39	13	.	.	PROPN
esrj-65185	39	14	,	,	PUNCT
esrj-65185	39	15	1992	1992	NUM
esrj-65185	39	16	;	;	PUNCT
esrj-65185	39	17	kubecka	kubecka	NOUN
esrj-65185	39	18	,	,	PUNCT
esrj-65185	39	19	2001	2001	NUM
esrj-65185	39	20	;	;	PUNCT
esrj-65185	39	21	allen	allen	PROPN
esrj-65185	39	22	et	et	PROPN
esrj-65185	39	23	al	al	PROPN
esrj-65185	39	24	.	.	PROPN
esrj-65185	39	25	,	,	PUNCT
esrj-65185	39	26	1998	1998	NUM
esrj-65185	39	27	;	;	PUNCT
esrj-65185	39	28	forsythe	forsythe	PROPN
esrj-65185	39	29	et	et	PROPN
esrj-65185	39	30	al	al	PROPN
esrj-65185	39	31	.	.	PROPN
esrj-65185	39	32	,	,	PUNCT
esrj-65185	39	33	1995	1995	NUM
esrj-65185	39	34	)	)	PUNCT
esrj-65185	39	35	,	,	PUNCT
esrj-65185	39	36	internal	internal	ADJ
esrj-65185	39	37	consistency	consistency	NOUN
esrj-65185	39	38	check	check	NOUN
esrj-65185	39	39	(	(	PUNCT
esrj-65185	39	40	baker	baker	NOUN
esrj-65185	39	41	,	,	PUNCT
esrj-65185	39	42	1992	1992	NUM
esrj-65185	39	43	)	)	PUNCT
esrj-65185	39	44	,	,	PUNCT
esrj-65185	39	45	time	time	NOUN
esrj-65185	39	46	consistency	consistency	NOUN
esrj-65185	39	47	check	check	NOUN
esrj-65185	39	48	(	(	PUNCT
esrj-65185	39	49	shafer	shafer	PROPN
esrj-65185	39	50	et	et	PROPN
esrj-65185	39	51	al	al	PROPN
esrj-65185	39	52	.	.	PROPN
esrj-65185	39	53	,	,	PUNCT
esrj-65185	39	54	2000	2000	NUM
esrj-65185	39	55	;	;	PUNCT
esrj-65185	39	56	lanzante	lanzante	PROPN
esrj-65185	39	57	,	,	PUNCT
esrj-65185	39	58	1996	1996	NUM
esrj-65185	39	59	)	)	PUNCT
esrj-65185	39	60	,	,	PUNCT
esrj-65185	39	61	and	and	CCONJ
esrj-65185	39	62	spatial	spatial	ADJ
esrj-65185	39	63	consistency	consistency	NOUN
esrj-65185	39	64	check	check	NOUN
esrj-65185	39	65	methodologies	methodology	NOUN
esrj-65185	39	66	.	.	PUNCT
esrj-65185	40	1	qc	qc	PROPN
esrj-65185	40	2	research	research	PROPN
esrj-65185	40	3	has	have	AUX
esrj-65185	40	4	focused	focus	VERB
esrj-65185	40	5	on	on	ADP
esrj-65185	40	6	spatial	spatial	ADJ
esrj-65185	40	7	consistency	consistency	NOUN
esrj-65185	40	8	check	check	NOUN
esrj-65185	40	9	,	,	PUNCT
esrj-65185	40	10	which	which	PRON
esrj-65185	40	11	is	be	AUX
esrj-65185	40	12	used	use	VERB
esrj-65185	40	13	for	for	ADP
esrj-65185	40	14	multi	multi	ADJ
esrj-65185	40	15	-	-	ADJ
esrj-65185	40	16	station	station	ADJ
esrj-65185	40	17	qc	qc	PROPN
esrj-65185	40	18	.	.	PUNCT
esrj-65185	41	1	the	the	DET
esrj-65185	41	2	spatial	spatial	PROPN
esrj-65185	41	3	qc	qc	PROPN
esrj-65185	41	4	method	method	NOUN
esrj-65185	41	5	predicts	predict	VERB
esrj-65185	41	6	the	the	DET
esrj-65185	41	7	value	value	NOUN
esrj-65185	41	8	at	at	ADP
esrj-65185	41	9	the	the	DET
esrj-65185	41	10	target	target	NOUN
esrj-65185	41	11	station	station	NOUN
esrj-65185	41	12	based	base	VERB
esrj-65185	41	13	on	on	ADP
esrj-65185	41	14	the	the	DET
esrj-65185	41	15	values	value	NOUN
esrj-65185	41	16	at	at	ADP
esrj-65185	41	17	neighboring	neighboring	NOUN
esrj-65185	41	18	stations	station	NOUN
esrj-65185	41	19	,	,	PUNCT
esrj-65185	41	20	and	and	CCONJ
esrj-65185	41	21	it	it	PRON
esrj-65185	41	22	can	can	AUX
esrj-65185	41	23	evaluate	evaluate	VERB
esrj-65185	41	24	the	the	DET
esrj-65185	41	25	reliability	reliability	NOUN
esrj-65185	41	26	of	of	ADP
esrj-65185	41	27	observations	observation	NOUN
esrj-65185	41	28	.	.	PUNCT
esrj-65185	42	1	the	the	DET
esrj-65185	42	2	inverse	inverse	NOUN
esrj-65185	42	3	distance	distance	NOUN
esrj-65185	42	4	weighting	weighting	NOUN
esrj-65185	42	5	(	(	PUNCT
esrj-65185	42	6	wade	wade	PROPN
esrj-65185	42	7	,	,	PUNCT
esrj-65185	42	8	1987	1987	NUM
esrj-65185	42	9	)	)	PUNCT
esrj-65185	42	10	method	method	NOUN
esrj-65185	42	11	(	(	PUNCT
esrj-65185	42	12	idw	idw	PROPN
esrj-65185	42	13	)	)	PUNCT
esrj-65185	42	14	uses	use	VERB
esrj-65185	42	15	the	the	DET
esrj-65185	42	16	proportions	proportion	NOUN
esrj-65185	42	17	of	of	ADP
esrj-65185	42	18	the	the	DET
esrj-65185	42	19	inverse	inverse	NOUN
esrj-65185	42	20	distances	distance	NOUN
esrj-65185	42	21	between	between	ADP
esrj-65185	42	22	multiple	multiple	ADJ
esrj-65185	42	23	neighboring	neighboring	NOUN
esrj-65185	42	24	stations	station	NOUN
esrj-65185	42	25	and	and	CCONJ
esrj-65185	42	26	the	the	DET
esrj-65185	42	27	target	target	NOUN
esrj-65185	42	28	stations	station	NOUN
esrj-65185	42	29	as	as	ADP
esrj-65185	42	30	weights	weight	NOUN
esrj-65185	42	31	,	,	PUNCT
esrj-65185	42	32	and	and	CCONJ
esrj-65185	42	33	it	it	PRON
esrj-65185	42	34	requires	require	VERB
esrj-65185	42	35	the	the	DET
esrj-65185	42	36	terrain	terrain	NOUN
esrj-65185	42	37	features	feature	NOUN
esrj-65185	42	38	and	and	CCONJ
esrj-65185	42	39	distribution	distribution	NOUN
esrj-65185	42	40	of	of	ADP
esrj-65185	42	41	neighboring	neighboring	NOUN
esrj-65185	42	42	stations	station	NOUN
esrj-65185	42	43	.	.	PUNCT
esrj-65185	43	1	the	the	DET
esrj-65185	43	2	bayesian	bayesian	NOUN
esrj-65185	43	3	qc	qc	PROPN
esrj-65185	43	4	method	method	PROPN
esrj-65185	43	5	(	(	PUNCT
esrj-65185	43	6	lorenc	lorenc	ADJ
esrj-65185	43	7	and	and	CCONJ
esrj-65185	43	8	hammon	hammon	PROPN
esrj-65185	43	9	,	,	PUNCT
esrj-65185	43	10	1988	1988	NUM
esrj-65185	43	11	)	)	PUNCT
esrj-65185	43	12	uses	use	VERB
esrj-65185	43	13	the	the	DET
esrj-65185	43	14	probability	probability	NOUN
esrj-65185	43	15	of	of	ADP
esrj-65185	43	16	observations	observation	NOUN
esrj-65185	43	17	as	as	ADP
esrj-65185	43	18	a	a	DET
esrj-65185	43	19	gross	gross	ADJ
esrj-65185	43	20	error	error	NOUN
esrj-65185	43	21	.	.	PUNCT
esrj-65185	44	1	in	in	ADP
esrj-65185	44	2	2007	2007	NUM
esrj-65185	44	3	,	,	PUNCT
esrj-65185	44	4	hubbard	hubbard	PROPN
esrj-65185	44	5	et	et	PROPN
esrj-65185	44	6	al	al	PROPN
esrj-65185	44	7	.	.	PROPN
esrj-65185	45	1	(	(	PUNCT
esrj-65185	45	2	2007	2007	NUM
esrj-65185	45	3	)	)	PUNCT
esrj-65185	45	4	proposed	propose	VERB
esrj-65185	45	5	the	the	DET
esrj-65185	45	6	spatial	spatial	ADJ
esrj-65185	45	7	regression	regression	NOUN
esrj-65185	45	8	test	test	NOUN
esrj-65185	45	9	method	method	NOUN
esrj-65185	45	10	(	(	PUNCT
esrj-65185	45	11	srt	srt	NOUN
esrj-65185	45	12	)	)	PUNCT
esrj-65185	45	13	.	.	PUNCT
esrj-65185	46	1	srt	srt	NOUN
esrj-65185	46	2	calculates	calculate	NOUN
esrj-65185	46	3	weights	weight	NOUN
esrj-65185	46	4	based	base	VERB
esrj-65185	46	5	on	on	ADP
esrj-65185	46	6	the	the	DET
esrj-65185	46	7	standard	standard	ADJ
esrj-65185	46	8	error	error	NOUN
esrj-65185	46	9	between	between	ADP
esrj-65185	46	10	the	the	DET
esrj-65185	46	11	target	target	NOUN
esrj-65185	46	12	station	station	NOUN
esrj-65185	46	13	and	and	CCONJ
esrj-65185	46	14	neighboring	neighboring	NOUN
esrj-65185	46	15	stations	station	NOUN
esrj-65185	46	16	,	,	PUNCT
esrj-65185	46	17	and	and	CCONJ
esrj-65185	46	18	it	it	PRON
esrj-65185	46	19	is	be	AUX
esrj-65185	46	20	less	less	ADV
esrj-65185	46	21	influenced	influence	VERB
esrj-65185	46	22	by	by	ADP
esrj-65185	46	23	terrain	terrain	NOUN
esrj-65185	46	24	and	and	CCONJ
esrj-65185	46	25	the	the	DET
esrj-65185	46	26	distribution	distribution	NOUN
esrj-65185	46	27	of	of	ADP
esrj-65185	46	28	neighboring	neighboring	NOUN
esrj-65185	46	29	stations	station	NOUN
esrj-65185	46	30	compared	compare	VERB
esrj-65185	46	31	to	to	ADP
esrj-65185	46	32	the	the	DET
esrj-65185	46	33	idw	idw	PROPN
esrj-65185	46	34	method	method	PROPN
esrj-65185	46	35	.	.	PUNCT
esrj-65185	47	1	based	base	VERB
esrj-65185	47	2	on	on	ADP
esrj-65185	47	3	the	the	DET
esrj-65185	47	4	srt	srt	NOUN
esrj-65185	47	5	method	method	NOUN
esrj-65185	47	6	,	,	PUNCT
esrj-65185	47	7	xu	xu	PROPN
esrj-65185	47	8	et	et	PROPN
esrj-65185	47	9	al	al	PROPN
esrj-65185	47	10	.	.	PROPN
esrj-65185	48	1	(	(	PUNCT
esrj-65185	48	2	2014	2014	NUM
esrj-65185	48	3	)	)	PUNCT
esrj-65185	48	4	proposed	propose	VERB
esrj-65185	48	5	the	the	DET
esrj-65185	48	6	probabilistic	probabilistic	ADJ
esrj-65185	48	7	spatial	spatial	ADJ
esrj-65185	48	8	-	-	PUNCT
esrj-65185	48	9	temporal	temporal	ADJ
esrj-65185	48	10	method	method	NOUN
esrj-65185	48	11	(	(	PUNCT
esrj-65185	48	12	srt	srt	NOUN
esrj-65185	48	13	-	-	PUNCT
esrj-65185	48	14	ps	ps	NOUN
esrj-65185	48	15	)	)	PUNCT
esrj-65185	48	16	.	.	PUNCT
esrj-65185	49	1	this	this	DET
esrj-65185	49	2	method	method	NOUN
esrj-65185	49	3	considers	consider	VERB
esrj-65185	49	4	the	the	DET
esrj-65185	49	5	uncertainty	uncertainty	NOUN
esrj-65185	49	6	in	in	ADP
esrj-65185	49	7	temperature	temperature	NOUN
esrj-65185	49	8	observations	observation	NOUN
esrj-65185	49	9	and	and	CCONJ
esrj-65185	49	10	eliminates	eliminate	VERB
esrj-65185	49	11	the	the	DET
esrj-65185	49	12	associated	associated	ADJ
esrj-65185	49	13	effect	effect	NOUN
esrj-65185	49	14	on	on	ADP
esrj-65185	49	15	temperature	temperature	NOUN
esrj-65185	49	16	fluctuations	fluctuation	NOUN
esrj-65185	49	17	.	.	PUNCT
esrj-65185	50	1	the	the	DET
esrj-65185	50	2	most	most	ADV
esrj-65185	50	3	widely	widely	ADV
esrj-65185	50	4	used	use	VERB
esrj-65185	50	5	traditional	traditional	ADJ
esrj-65185	50	6	methods	method	NOUN
esrj-65185	50	7	discussed	discuss	VERB
esrj-65185	50	8	above	above	ADV
esrj-65185	50	9	are	be	AUX
esrj-65185	50	10	the	the	DET
esrj-65185	50	11	idw	idw	PROPN
esrj-65185	50	12	method	method	NOUN
esrj-65185	50	13	and	and	CCONJ
esrj-65185	50	14	srt	srt	NOUN
esrj-65185	50	15	method	method	NOUN
esrj-65185	50	16	,	,	PUNCT
esrj-65185	50	17	and	and	CCONJ
esrj-65185	50	18	the	the	DET
esrj-65185	50	19	srt	srt	NOUN
esrj-65185	50	20	method	method	NOUN
esrj-65185	50	21	is	be	AUX
esrj-65185	50	22	considered	consider	VERB
esrj-65185	50	23	superior	superior	ADJ
esrj-65185	50	24	to	to	ADP
esrj-65185	50	25	the	the	DET
esrj-65185	50	26	idw	idw	PROPN
esrj-65185	50	27	method	method	NOUN
esrj-65185	50	28	(	(	PUNCT
esrj-65185	50	29	hubbard	hubbard	NOUN
esrj-65185	50	30	and	and	CCONJ
esrj-65185	50	31	you	you	PRON
esrj-65185	50	32	,	,	PUNCT
esrj-65185	50	33	2005	2005	NUM
esrj-65185	50	34	)	)	PUNCT
esrj-65185	50	35	.	.	PUNCT
esrj-65185	51	1	thus	thus	ADV
esrj-65185	51	2	,	,	PUNCT
esrj-65185	51	3	the	the	DET
esrj-65185	51	4	srt	srt	NOUN
esrj-65185	51	5	method	method	NOUN
esrj-65185	51	6	is	be	AUX
esrj-65185	51	7	for	for	ADP
esrj-65185	51	8	comparison	comparison	NOUN
esrj-65185	51	9	with	with	ADP
esrj-65185	51	10	the	the	DET
esrj-65185	51	11	random	random	ADJ
esrj-65185	51	12	forest	forest	NOUN
esrj-65185	51	13	quality	quality	NOUN
esrj-65185	51	14	control	control	NOUN
esrj-65185	51	15	algorithm	algorithm	NOUN
esrj-65185	51	16	based	base	VERB
esrj-65185	51	17	on	on	ADP
esrj-65185	51	18	the	the	DET
esrj-65185	51	19	principal	principal	ADJ
esrj-65185	51	20	component	component	NOUN
esrj-65185	51	21	analysis	analysis	NOUN
esrj-65185	51	22	(	(	PUNCT
esrj-65185	51	23	pca	pca	NOUN
esrj-65185	51	24	-	-	PUNCT
esrj-65185	51	25	rf	rf	NOUN
esrj-65185	51	26	)	)	PUNCT
esrj-65185	51	27	method	method	NOUN
esrj-65185	51	28	proposed	propose	VERB
esrj-65185	51	29	in	in	ADP
esrj-65185	51	30	this	this	DET
esrj-65185	51	31	paper	paper	NOUN
esrj-65185	51	32	.	.	PUNCT
esrj-65185	52	1	the	the	DET
esrj-65185	52	2	pca	pca	PROPN
esrj-65185	52	3	-	-	PUNCT
esrj-65185	52	4	rf	rf	ADJ
esrj-65185	52	5	method	method	NOUN
esrj-65185	52	6	is	be	AUX
esrj-65185	52	7	used	use	VERB
esrj-65185	52	8	to	to	PART
esrj-65185	52	9	reconstruct	reconstruct	VERB
esrj-65185	52	10	the	the	DET
esrj-65185	52	11	training	training	NOUN
esrj-65185	52	12	samples	sample	NOUN
esrj-65185	52	13	by	by	ADP
esrj-65185	52	14	extracting	extract	VERB
esrj-65185	52	15	high	high	ADJ
esrj-65185	52	16	correlation	correlation	NOUN
esrj-65185	52	17	factors	factor	NOUN
esrj-65185	52	18	from	from	ADP
esrj-65185	52	19	meteorological	meteorological	ADJ
esrj-65185	52	20	elements	element	NOUN
esrj-65185	52	21	using	use	VERB
esrj-65185	52	22	pca	pca	PROPN
esrj-65185	52	23	.	.	PUNCT
esrj-65185	53	1	therefore	therefore	ADV
esrj-65185	53	2	,	,	PUNCT
esrj-65185	53	3	the	the	DET
esrj-65185	53	4	efficiency	efficiency	NOUN
esrj-65185	53	5	and	and	CCONJ
esrj-65185	53	6	accuracy	accuracy	NOUN
esrj-65185	53	7	of	of	ADP
esrj-65185	53	8	rf	rf	NOUN
esrj-65185	53	9	model	model	NOUN
esrj-65185	53	10	are	be	AUX
esrj-65185	53	11	improved	improve	VERB
esrj-65185	53	12	.	.	PUNCT
esrj-65185	54	1	the	the	DET
esrj-65185	54	2	specific	specific	ADJ
esrj-65185	54	3	objectives	objective	NOUN
esrj-65185	54	4	of	of	ADP
esrj-65185	54	5	this	this	DET
esrj-65185	54	6	paper	paper	NOUN
esrj-65185	54	7	are	be	AUX
esrj-65185	54	8	as	as	SCONJ
esrj-65185	54	9	follows	follow	VERB
esrj-65185	54	10	:	:	PUNCT
esrj-65185	54	11	(	(	PUNCT
esrj-65185	54	12	1	1	X
esrj-65185	54	13	)	)	PUNCT
esrj-65185	54	14	to	to	PART
esrj-65185	54	15	compare	compare	VERB
esrj-65185	54	16	the	the	DET
esrj-65185	54	17	evaluation	evaluation	NOUN
esrj-65185	54	18	indexes	index	NOUN
esrj-65185	54	19	of	of	ADP
esrj-65185	54	20	the	the	DET
esrj-65185	54	21	rf	rf	ADJ
esrj-65185	54	22	and	and	CCONJ
esrj-65185	54	23	srt	srt	NOUN
esrj-65185	54	24	methods	method	NOUN
esrj-65185	54	25	using	use	VERB
esrj-65185	54	26	training	training	NOUN
esrj-65185	54	27	samples	sample	NOUN
esrj-65185	54	28	over	over	ADP
esrj-65185	54	29	different	different	ADJ
esrj-65185	54	30	periods	period	NOUN
esrj-65185	54	31	(	(	PUNCT
esrj-65185	54	32	ridzuan	ridzuan	NOUN
esrj-65185	54	33	et	et	PROPN
esrj-65185	54	34	al	al	PROPN
esrj-65185	54	35	.	.	PROPN
esrj-65185	54	36	,	,	PUNCT
esrj-65185	54	37	2017	2017	NUM
esrj-65185	54	38	)	)	PUNCT
esrj-65185	54	39	.	.	PUNCT
esrj-65185	55	1	(	(	PUNCT
esrj-65185	55	2	2	2	X
esrj-65185	55	3	)	)	PUNCT
esrj-65185	55	4	to	to	PART
esrj-65185	55	5	set	set	VERB
esrj-65185	55	6	different	different	ADJ
esrj-65185	55	7	correlation	correlation	NOUN
esrj-65185	55	8	factor	factor	NOUN
esrj-65185	55	9	thresholds	threshold	NOUN
esrj-65185	55	10	and	and	CCONJ
esrj-65185	55	11	compare	compare	VERB
esrj-65185	55	12	the	the	DET
esrj-65185	55	13	evaluation	evaluation	NOUN
esrj-65185	55	14	indexes	index	NOUN
esrj-65185	55	15	and	and	CCONJ
esrj-65185	55	16	run	run	VERB
esrj-65185	55	17	times	time	NOUN
esrj-65185	55	18	of	of	ADP
esrj-65185	55	19	the	the	DET
esrj-65185	55	20	pca	pca	PROPN
esrj-65185	55	21	-	-	PUNCT
esrj-65185	55	22	rf	rf	PROPN
esrj-65185	55	23	qc	qc	PROPN
esrj-65185	55	24	model	model	NOUN
esrj-65185	55	25	based	base	VERB
esrj-65185	55	26	on	on	ADP
esrj-65185	55	27	these	these	DET
esrj-65185	55	28	different	different	ADJ
esrj-65185	55	29	thresholds	threshold	NOUN
esrj-65185	55	30	.	.	PUNCT
esrj-65185	56	1	and	and	CCONJ
esrj-65185	56	2	(	(	PUNCT
esrj-65185	56	3	3	3	X
esrj-65185	56	4	)	)	PUNCT
esrj-65185	56	5	to	to	PART
esrj-65185	56	6	compare	compare	VERB
esrj-65185	56	7	the	the	DET
esrj-65185	56	8	detection	detection	NOUN
esrj-65185	56	9	rates	rate	NOUN
esrj-65185	56	10	of	of	ADP
esrj-65185	56	11	the	the	DET
esrj-65185	56	12	srt	srt	NOUN
esrj-65185	56	13	and	and	CCONJ
esrj-65185	56	14	pca	pca	NOUN
esrj-65185	56	15	-	-	PUNCT
esrj-65185	56	16	rf	rf	ADJ
esrj-65185	56	17	methods	method	NOUN
esrj-65185	56	18	and	and	CCONJ
esrj-65185	56	19	evaluate	evaluate	VERB
esrj-65185	56	20	the	the	DET
esrj-65185	56	21	predictive	predictive	ADJ
esrj-65185	56	22	performances	performance	NOUN
esrj-65185	56	23	of	of	ADP
esrj-65185	56	24	the	the	DET
esrj-65185	56	25	qc	qc	PROPN
esrj-65185	56	26	models	model	NOUN
esrj-65185	56	27	.	.	PUNCT
esrj-65185	57	1	2	2	X
esrj-65185	57	2	.	.	X
esrj-65185	57	3	data	datum	NOUN
esrj-65185	57	4	china	china	PROPN
esrj-65185	57	5	is	be	AUX
esrj-65185	57	6	a	a	DET
esrj-65185	57	7	large	large	ADJ
esrj-65185	57	8	country	country	NOUN
esrj-65185	57	9	with	with	ADP
esrj-65185	57	10	an	an	DET
esrj-65185	57	11	area	area	NOUN
esrj-65185	57	12	of	of	ADP
esrj-65185	57	13	approximately	approximately	ADV
esrj-65185	57	14	9.6	9.6	NUM
esrj-65185	57	15	million	million	NUM
esrj-65185	57	16	km2	km2	NOUN
esrj-65185	57	17	.	.	PUNCT
esrj-65185	58	1	about	about	ADV
esrj-65185	58	2	98	98	NUM
esrj-65185	58	3	%	%	NOUN
esrj-65185	58	4	of	of	ADP
esrj-65185	58	5	the	the	DET
esrj-65185	58	6	land	land	NOUN
esrj-65185	58	7	area	area	NOUN
esrj-65185	58	8	stretches	stretch	VERB
esrj-65185	58	9	between	between	ADP
esrj-65185	58	10	the	the	DET
esrj-65185	58	11	latitudes	latitude	NOUN
esrj-65185	58	12	of	of	ADP
esrj-65185	58	13	20	20	NUM
esrj-65185	58	14	°	°	NOUN
esrj-65185	58	15	n	n	PRON
esrj-65185	58	16	and	and	CCONJ
esrj-65185	58	17	50	50	NUM
esrj-65185	58	18	°	°	PROPN
esrj-65185	58	19	n.	n.	PROPN
esrj-65185	58	20	thus	thus	ADV
esrj-65185	58	21	;	;	PUNCT
esrj-65185	58	22	the	the	DET
esrj-65185	58	23	country	country	NOUN
esrj-65185	58	24	extends	extend	VERB
esrj-65185	58	25	from	from	ADP
esrj-65185	58	26	the	the	DET
esrj-65185	58	27	subtropical	subtropical	ADJ
esrj-65185	58	28	zones	zone	NOUN
esrj-65185	58	29	in	in	ADP
esrj-65185	58	30	the	the	DET
esrj-65185	58	31	south	south	NOUN
esrj-65185	58	32	to	to	ADP
esrj-65185	58	33	the	the	DET
esrj-65185	58	34	temperate	temperate	ADJ
esrj-65185	58	35	zones	zone	NOUN
esrj-65185	58	36	(	(	PUNCT
esrj-65185	58	37	including	include	VERB
esrj-65185	58	38	warm	warm	ADJ
esrj-65185	58	39	temperate	temperate	ADJ
esrj-65185	58	40	and	and	CCONJ
esrj-65185	58	41	cool	cool	ADJ
esrj-65185	58	42	temperate	temperate	NOUN
esrj-65185	58	43	)	)	PUNCT
esrj-65185	58	44	in	in	ADP
esrj-65185	58	45	the	the	DET
esrj-65185	58	46	north	north	NOUN
esrj-65185	58	47	(	(	PUNCT
esrj-65185	58	48	yang	yang	PROPN
esrj-65185	58	49	et	et	PROPN
esrj-65185	58	50	al	al	PROPN
esrj-65185	58	51	.	.	PROPN
esrj-65185	58	52	,	,	PUNCT
esrj-65185	58	53	2013	2013	NUM
esrj-65185	58	54	;	;	PUNCT
esrj-65185	58	55	jiang	jiang	PROPN
esrj-65185	58	56	et	et	PROPN
esrj-65185	58	57	al	al	PROPN
esrj-65185	58	58	.	.	PROPN
esrj-65185	58	59	,	,	PUNCT
esrj-65185	58	60	2016	2016	NUM
esrj-65185	58	61	)	)	PUNCT
esrj-65185	58	62	.	.	PUNCT
esrj-65185	59	1	with	with	ADP
esrj-65185	59	2	recent	recent	ADJ
esrj-65185	59	3	global	global	ADJ
esrj-65185	59	4	climate	climate	NOUN
esrj-65185	59	5	warming	warming	NOUN
esrj-65185	59	6	,	,	PUNCT
esrj-65185	59	7	the	the	DET
esrj-65185	59	8	national	national	ADJ
esrj-65185	59	9	annual	annual	ADJ
esrj-65185	59	10	average	average	ADJ
esrj-65185	59	11	temperature	temperature	NOUN
esrj-65185	59	12	increased	increase	VERB
esrj-65185	59	13	by	by	ADP
esrj-65185	59	14	approximately	approximately	ADV
esrj-65185	59	15	1.1	1.1	NUM
esrj-65185	59	16	degrees	degree	NOUN
esrj-65185	59	17	celsius	celsius	NOUN
esrj-65185	59	18	,	,	PUNCT
esrj-65185	59	19	with	with	ADP
esrj-65185	59	20	high	high	ADJ
esrj-65185	59	21	temperatures	temperature	NOUN
esrj-65185	59	22	in	in	ADP
esrj-65185	59	23	north	north	NOUN
esrj-65185	59	24	and	and	CCONJ
esrj-65185	59	25	low	low	ADJ
esrj-65185	59	26	temperatures	temperature	NOUN
esrj-65185	59	27	in	in	ADP
esrj-65185	59	28	the	the	DET
esrj-65185	59	29	south	south	NOUN
esrj-65185	59	30	.	.	PUNCT
esrj-65185	60	1	additionally	additionally	ADV
esrj-65185	60	2	,	,	PUNCT
esrj-65185	60	3	the	the	DET
esrj-65185	60	4	magnitude	magnitude	NOUN
esrj-65185	60	5	of	of	ADP
esrj-65185	60	6	the	the	DET
esrj-65185	60	7	temperature	temperature	NOUN
esrj-65185	60	8	increase	increase	NOUN
esrj-65185	60	9	in	in	ADP
esrj-65185	60	10	winter	winter	NOUN
esrj-65185	60	11	was	be	AUX
esrj-65185	60	12	larger	large	ADJ
esrj-65185	60	13	than	than	ADP
esrj-65185	60	14	that	that	PRON
esrj-65185	60	15	in	in	ADP
esrj-65185	60	16	summer	summer	NOUN
esrj-65185	60	17	(	(	PUNCT
esrj-65185	60	18	asis	asis	PROPN
esrj-65185	60	19	et	et	PROPN
esrj-65185	60	20	al	al	PROPN
esrj-65185	60	21	.	.	PROPN
esrj-65185	60	22	,	,	PUNCT
esrj-65185	60	23	2017	2017	NUM
esrj-65185	60	24	)	)	PUNCT
esrj-65185	60	25	moreover	moreover	ADV
esrj-65185	60	26	,	,	PUNCT
esrj-65185	60	27	other	other	ADJ
esrj-65185	60	28	climate	climate	NOUN
esrj-65185	60	29	factors	factor	NOUN
esrj-65185	60	30	exhibited	exhibit	VERB
esrj-65185	60	31	fluctuations	fluctuation	NOUN
esrj-65185	60	32	in	in	ADP
esrj-65185	60	33	different	different	ADJ
esrj-65185	60	34	regions	region	NOUN
esrj-65185	60	35	(	(	PUNCT
esrj-65185	60	36	zheng	zheng	X
esrj-65185	60	37	et	et	PROPN
esrj-65185	60	38	al	al	PROPN
esrj-65185	60	39	.	.	PROPN
esrj-65185	60	40	,	,	PUNCT
esrj-65185	60	41	2010	2010	NUM
esrj-65185	60	42	,	,	PUNCT
esrj-65185	60	43	cheng	cheng	PROPN
esrj-65185	60	44	et	et	PROPN
esrj-65185	60	45	al	al	PROPN
esrj-65185	60	46	.	.	PROPN
esrj-65185	60	47	,	,	PUNCT
esrj-65185	60	48	2009	2009	NUM
esrj-65185	60	49	)	)	PUNCT
esrj-65185	60	50	.	.	PUNCT
esrj-65185	61	1	therefore	therefore	ADV
esrj-65185	61	2	,	,	PUNCT
esrj-65185	61	3	it	it	PRON
esrj-65185	61	4	is	be	AUX
esrj-65185	61	5	more	more	ADV
esrj-65185	61	6	meaningful	meaningful	ADJ
esrj-65185	61	7	in	in	ADP
esrj-65185	61	8	spatial	spatial	ADJ
esrj-65185	61	9	qc	qc	PROPN
esrj-65185	61	10	to	to	PART
esrj-65185	61	11	consider	consider	VERB
esrj-65185	61	12	different	different	ADJ
esrj-65185	61	13	climates	climate	NOUN
esrj-65185	61	14	and	and	CCONJ
esrj-65185	61	15	geomorphological	geomorphological	ADJ
esrj-65185	61	16	regionalization	regionalization	NOUN
esrj-65185	61	17	.	.	PUNCT
esrj-65185	62	1	in	in	ADP
esrj-65185	62	2	this	this	DET
esrj-65185	62	3	paper	paper	NOUN
esrj-65185	62	4	,	,	PUNCT
esrj-65185	62	5	data	datum	NOUN
esrj-65185	62	6	were	be	AUX
esrj-65185	62	7	collected	collect	VERB
esrj-65185	62	8	from	from	ADP
esrj-65185	62	9	january	january	PROPN
esrj-65185	62	10	1	1	NUM
esrj-65185	62	11	,	,	PUNCT
esrj-65185	62	12	2005	2005	NUM
esrj-65185	62	13	,	,	PUNCT
esrj-65185	62	14	to	to	ADP
esrj-65185	62	15	december	december	PROPN
esrj-65185	62	16	31	31	NUM
esrj-65185	62	17	,	,	PUNCT
esrj-65185	62	18	2014	2014	NUM
esrj-65185	62	19	,	,	PUNCT
esrj-65185	62	20	four	four	NUM
esrj-65185	62	21	times	time	NOUN
esrj-65185	62	22	daily	daily	ADJ
esrj-65185	62	23	(	(	PUNCT
esrj-65185	62	24	02:00	02:00	NUM
esrj-65185	62	25	,	,	PUNCT
esrj-65185	62	26	08:00	08:00	NUM
esrj-65185	62	27	,	,	PUNCT
esrj-65185	62	28	14:00	14:00	NUM
esrj-65185	62	29	and	and	CCONJ
esrj-65185	62	30	20:00	20:00	NUM
esrj-65185	62	31	beijing	beijing	PROPN
esrj-65185	62	32	time	time	NOUN
esrj-65185	62	33	(	(	PUNCT
esrj-65185	62	34	cst	cst	PROPN
esrj-65185	62	35	)	)	PUNCT
esrj-65185	62	36	)	)	PUNCT
esrj-65185	62	37	in	in	ADP
esrj-65185	62	38	different	different	ADJ
esrj-65185	62	39	climate	climate	NOUN
esrj-65185	62	40	regions	region	NOUN
esrj-65185	62	41	in	in	ADP
esrj-65185	62	42	china	china	PROPN
esrj-65185	62	43	.	.	PUNCT
esrj-65185	63	1	the	the	DET
esrj-65185	63	2	data	datum	NOUN
esrj-65185	63	3	include	include	VERB
esrj-65185	63	4	six	six	NUM
esrj-65185	63	5	types	type	NOUN
esrj-65185	63	6	of	of	ADP
esrj-65185	63	7	meteorological	meteorological	ADJ
esrj-65185	63	8	elements	element	NOUN
esrj-65185	63	9	:	:	PUNCT
esrj-65185	63	10	ground	ground	NOUN
esrj-65185	63	11	surface	surface	NOUN
esrj-65185	63	12	temperature	temperature	NOUN
esrj-65185	63	13	(	(	PUNCT
esrj-65185	63	14	gst	gst	NOUN
esrj-65185	63	15	)	)	PUNCT
esrj-65185	63	16	,	,	PUNCT
esrj-65185	63	17	pressure	pressure	NOUN
esrj-65185	63	18	(	(	PUNCT
esrj-65185	63	19	pre	pre	ADJ
esrj-65185	63	20	)	)	PUNCT
esrj-65185	63	21	,	,	PUNCT
esrj-65185	63	22	relative	relative	ADJ
esrj-65185	63	23	humidity	humidity	NOUN
esrj-65185	63	24	(	(	PUNCT
esrj-65185	63	25	rh	rh	PROPN
esrj-65185	63	26	)	)	PUNCT
esrj-65185	63	27	,	,	PUNCT
esrj-65185	63	28	temperature	temperature	NOUN
esrj-65185	63	29	(	(	PUNCT
esrj-65185	63	30	tem	tem	PROPN
esrj-65185	63	31	)	)	PUNCT
esrj-65185	63	32	,	,	PUNCT
esrj-65185	63	33	wind	wind	NOUN
esrj-65185	63	34	direction	direction	NOUN
esrj-65185	63	35	(	(	PUNCT
esrj-65185	63	36	wd	wd	PROPN
esrj-65185	63	37	)	)	PUNCT
esrj-65185	63	38	and	and	CCONJ
esrj-65185	63	39	wind	wind	NOUN
esrj-65185	63	40	speed	speed	NOUN
esrj-65185	63	41	(	(	PUNCT
esrj-65185	63	42	ws	ws	NOUN
esrj-65185	63	43	)	)	PUNCT
esrj-65185	63	44	.	.	PUNCT
esrj-65185	64	1	these	these	DET
esrj-65185	64	2	data	datum	NOUN
esrj-65185	64	3	were	be	AUX
esrj-65185	64	4	obtained	obtain	VERB
esrj-65185	64	5	from	from	ADP
esrj-65185	64	6	the	the	DET
esrj-65185	64	7	china	china	PROPN
esrj-65185	64	8	national	national	PROPN
esrj-65185	64	9	meteorological	meteorological	ADJ
esrj-65185	64	10	center	center	NOUN
esrj-65185	64	11	and	and	CCONJ
esrj-65185	64	12	had	have	AUX
esrj-65185	64	13	undergone	undergo	VERB
esrj-65185	64	14	basic	basic	ADJ
esrj-65185	64	15	qc	qc	NOUN
esrj-65185	64	16	;	;	PUNCT
esrj-65185	64	17	thus	thus	ADV
esrj-65185	64	18	,	,	PUNCT
esrj-65185	64	19	the	the	DET
esrj-65185	64	20	accuracy	accuracy	NOUN
esrj-65185	64	21	of	of	ADP
esrj-65185	64	22	the	the	DET
esrj-65185	64	23	data	data	NOUN
esrj-65185	64	24	is	be	AUX
esrj-65185	64	25	acceptable	acceptable	ADJ
esrj-65185	64	26	.	.	PUNCT
esrj-65185	65	1	missing	miss	VERB
esrj-65185	65	2	data	datum	NOUN
esrj-65185	65	3	,	,	PUNCT
esrj-65185	65	4	changes	change	NOUN
esrj-65185	65	5	in	in	ADP
esrj-65185	65	6	station	station	NOUN
esrj-65185	65	7	locations	location	NOUN
esrj-65185	65	8	and	and	CCONJ
esrj-65185	65	9	changes	change	NOUN
esrj-65185	65	10	in	in	ADP
esrj-65185	65	11	precipitation	precipitation	NOUN
esrj-65185	65	12	measurement	measurement	NOUN
esrj-65185	65	13	instruments	instrument	NOUN
esrj-65185	65	14	during	during	ADP
esrj-65185	65	15	the	the	DET
esrj-65185	65	16	observation	observation	NOUN
esrj-65185	65	17	period	period	NOUN
esrj-65185	65	18	can	can	AUX
esrj-65185	65	19	influence	influence	VERB
esrj-65185	65	20	the	the	DET
esrj-65185	65	21	homogeneity	homogeneity	NOUN
esrj-65185	65	22	of	of	ADP
esrj-65185	65	23	datasets	dataset	NOUN
esrj-65185	65	24	(	(	PUNCT
esrj-65185	65	25	irannezhad	irannezhad	NOUN
esrj-65185	65	26	et	et	PROPN
esrj-65185	65	27	al	al	PROPN
esrj-65185	65	28	.	.	PROPN
esrj-65185	65	29	,	,	PUNCT
esrj-65185	65	30	2016	2016	NUM
esrj-65185	65	31	)	)	PUNCT
esrj-65185	65	32	.	.	PUNCT
esrj-65185	66	1	small	small	ADJ
esrj-65185	66	2	percentages	percentage	NOUN
esrj-65185	66	3	of	of	ADP
esrj-65185	66	4	missing	miss	VERB
esrj-65185	66	5	data	datum	NOUN
esrj-65185	66	6	at	at	ADP
esrj-65185	66	7	some	some	DET
esrj-65185	66	8	stations	station	NOUN
esrj-65185	66	9	can	can	AUX
esrj-65185	66	10	influence	influence	VERB
esrj-65185	66	11	an	an	DET
esrj-65185	66	12	analysis	analysis	NOUN
esrj-65185	66	13	,	,	PUNCT
esrj-65185	66	14	but	but	CCONJ
esrj-65185	66	15	pca	pca	NOUN
esrj-65185	66	16	can	can	AUX
esrj-65185	66	17	reduce	reduce	VERB
esrj-65185	66	18	the	the	DET
esrj-65185	66	19	effect	effect	NOUN
esrj-65185	66	20	of	of	ADP
esrj-65185	66	21	missing	miss	VERB
esrj-65185	66	22	data	datum	NOUN
esrj-65185	66	23	to	to	ADP
esrj-65185	66	24	a	a	DET
esrj-65185	66	25	certain	certain	ADJ
esrj-65185	66	26	degree	degree	NOUN
esrj-65185	66	27	.	.	PUNCT
esrj-65185	67	1	zheng	zheng	PROPN
esrj-65185	67	2	et	et	PROPN
esrj-65185	67	3	al	al	PROPN
esrj-65185	67	4	.	.	PROPN
esrj-65185	68	1	(	(	PUNCT
esrj-65185	68	2	2010	2010	NUM
esrj-65185	68	3	)	)	PUNCT
esrj-65185	68	4	suggested	suggest	VERB
esrj-65185	68	5	dividing	divide	VERB
esrj-65185	68	6	china	china	PROPN
esrj-65185	68	7	into	into	ADP
esrj-65185	68	8	12	12	NUM
esrj-65185	68	9	temperature	temperature	NOUN
esrj-65185	68	10	zones	zone	NOUN
esrj-65185	68	11	,	,	PUNCT
esrj-65185	68	12	including	include	VERB
esrj-65185	68	13	a	a	DET
esrj-65185	68	14	humid	humid	NOUN
esrj-65185	68	15	region	region	NOUN
esrj-65185	68	16	,	,	PUNCT
esrj-65185	68	17	a	a	DET
esrj-65185	68	18	semi	semi	ADJ
esrj-65185	68	19	-	-	ADJ
esrj-65185	68	20	humid	humid	ADJ
esrj-65185	68	21	region	region	NOUN
esrj-65185	68	22	,	,	PUNCT
esrj-65185	68	23	a	a	DET
esrj-65185	68	24	semi	semi	ADJ
esrj-65185	68	25	-	-	ADJ
esrj-65185	68	26	arid	arid	ADJ
esrj-65185	68	27	region	region	NOUN
esrj-65185	68	28	and	and	CCONJ
esrj-65185	68	29	an	an	DET
esrj-65185	68	30	arid	arid	NOUN
esrj-65185	68	31	region	region	NOUN
esrj-65185	68	32	.	.	PUNCT
esrj-65185	69	1	li	li	PROPN
esrj-65185	69	2	et	et	PROPN
esrj-65185	69	3	al	al	PROPN
esrj-65185	69	4	.	.	PROPN
esrj-65185	70	1	(	(	PUNCT
esrj-65185	70	2	2013	2013	NUM
esrj-65185	70	3	)	)	PUNCT
esrj-65185	70	4	discussed	discuss	VERB
esrj-65185	70	5	the	the	DET
esrj-65185	70	6	specific	specific	ADJ
esrj-65185	70	7	steps	step	NOUN
esrj-65185	70	8	and	and	CCONJ
esrj-65185	70	9	methods	method	NOUN
esrj-65185	70	10	associated	associate	VERB
esrj-65185	70	11	with	with	ADP
esrj-65185	70	12	dividing	divide	VERB
esrj-65185	70	13	china	china	PROPN
esrj-65185	70	14	into	into	ADP
esrj-65185	70	15	six	six	NUM
esrj-65185	70	16	major	major	ADJ
esrj-65185	70	17	categories	category	NOUN
esrj-65185	70	18	.	.	PUNCT
esrj-65185	71	1	in	in	ADP
esrj-65185	71	2	this	this	DET
esrj-65185	71	3	paper	paper	NOUN
esrj-65185	71	4	,	,	PUNCT
esrj-65185	71	5	15	15	NUM
esrj-65185	71	6	stations	station	NOUN
esrj-65185	71	7	with	with	ADP
esrj-65185	71	8	different	different	ADJ
esrj-65185	71	9	climates	climate	NOUN
esrj-65185	71	10	and	and	CCONJ
esrj-65185	71	11	topographies	topography	NOUN
esrj-65185	71	12	are	be	AUX
esrj-65185	71	13	selected	select	VERB
esrj-65185	71	14	;	;	PUNCT
esrj-65185	71	15	however	however	ADV
esrj-65185	71	16	,	,	PUNCT
esrj-65185	71	17	stations	station	NOUN
esrj-65185	71	18	59948	59948	NUM
esrj-65185	71	19	,	,	PUNCT
esrj-65185	71	20	59985	59985	NUM
esrj-65185	71	21	and	and	CCONJ
esrj-65185	71	22	59287	59287	NUM
esrj-65185	71	23	(	(	PUNCT
esrj-65185	71	24	in	in	ADP
esrj-65185	71	25	the	the	DET
esrj-65185	71	26	mid	mid	NOUN
esrj-65185	71	27	-	-	NOUN
esrj-65185	71	28	tropic	tropic	ADJ
esrj-65185	71	29	,	,	PUNCT
esrj-65185	71	30	equatorial	equatorial	ADJ
esrj-65185	71	31	tropic	tropic	NOUN
esrj-65185	71	32	and	and	CCONJ
esrj-65185	71	33	south	south	ADJ
esrj-65185	71	34	subtropical	subtropical	ADJ
esrj-65185	71	35	areas	area	NOUN
esrj-65185	71	36	)	)	PUNCT
esrj-65185	71	37	are	be	AUX
esrj-65185	71	38	not	not	PART
esrj-65185	71	39	selected	select	VERB
esrj-65185	71	40	because	because	SCONJ
esrj-65185	71	41	they	they	PRON
esrj-65185	71	42	do	do	AUX
esrj-65185	71	43	not	not	PART
esrj-65185	71	44	have	have	VERB
esrj-65185	71	45	sufficient	sufficient	ADJ
esrj-65185	71	46	numbers	number	NOUN
esrj-65185	71	47	of	of	ADP
esrj-65185	71	48	neighboring	neighboring	NOUN
esrj-65185	71	49	stations	station	NOUN
esrj-65185	71	50	(	(	PUNCT
esrj-65185	71	51	rahim	rahim	PROPN
esrj-65185	71	52	et	et	PROPN
esrj-65185	71	53	al	al	PROPN
esrj-65185	71	54	.	.	PROPN
esrj-65185	71	55	,	,	PUNCT
esrj-65185	71	56	2017	2017	NUM
esrj-65185	71	57	)	)	PUNCT
esrj-65185	71	58	the	the	DET
esrj-65185	71	59	target	target	NOUN
esrj-65185	71	60	stations	station	NOUN
esrj-65185	71	61	are	be	AUX
esrj-65185	71	62	shown	show	VERB
esrj-65185	71	63	in	in	ADP
esrj-65185	71	64	figure	figure	NOUN
esrj-65185	71	65	1	1	NUM
esrj-65185	71	66	,	,	PUNCT
esrj-65185	71	67	and	and	CCONJ
esrj-65185	71	68	the	the	DET
esrj-65185	71	69	selection	selection	NOUN
esrj-65185	71	70	of	of	ADP
esrj-65185	71	71	target	target	NOUN
esrj-65185	71	72	stations	station	NOUN
esrj-65185	71	73	accounted	account	VERB
esrj-65185	71	74	for	for	ADP
esrj-65185	71	75	the	the	DET
esrj-65185	71	76	distribution	distribution	NOUN
esrj-65185	71	77	of	of	ADP
esrj-65185	71	78	climate	climate	NOUN
esrj-65185	71	79	zones	zone	NOUN
esrj-65185	71	80	and	and	CCONJ
esrj-65185	71	81	geomorphologic	geomorphologic	NOUN
esrj-65185	71	82	regionalization	regionalization	NOUN
esrj-65185	71	83	.	.	PUNCT
esrj-65185	72	1	neighboring	neighboring	NOUN
esrj-65185	72	2	stations	station	NOUN
esrj-65185	72	3	are	be	AUX
esrj-65185	72	4	selected	select	VERB
esrj-65185	72	5	based	base	VERB
esrj-65185	72	6	on	on	ADP
esrj-65185	72	7	the	the	DET
esrj-65185	72	8	distance	distance	NOUN
esrj-65185	72	9	between	between	ADP
esrj-65185	72	10	the	the	DET
esrj-65185	72	11	target	target	NOUN
esrj-65185	72	12	station	station	NOUN
esrj-65185	72	13	and	and	CCONJ
esrj-65185	72	14	neighboring	neighboring	NOUN
esrj-65185	72	15	stations	station	NOUN
esrj-65185	72	16	,	,	PUNCT
esrj-65185	72	17	where	where	SCONJ
esrj-65185	72	18	the	the	DET
esrj-65185	72	19	radius	radius	NOUN
esrj-65185	72	20	of	of	ADP
esrj-65185	72	21	the	the	DET
esrj-65185	72	22	neighboring	neighboring	NOUN
esrj-65185	72	23	stations	station	NOUN
esrj-65185	72	24	is	be	AUX
esrj-65185	72	25	not	not	PART
esrj-65185	72	26	more	more	ADJ
esrj-65185	72	27	than	than	ADP
esrj-65185	72	28	100	100	NUM
esrj-65185	72	29	km	km	NOUN
esrj-65185	72	30	.	.	PUNCT
esrj-65185	73	1	the	the	DET
esrj-65185	73	2	number	number	NOUN
esrj-65185	73	3	of	of	ADP
esrj-65185	73	4	neighboring	neighboring	NOUN
esrj-65185	73	5	stations	station	NOUN
esrj-65185	73	6	is	be	AUX
esrj-65185	73	7	5	5	NUM
esrj-65185	73	8	-	-	SYM
esrj-65185	73	9	10	10	NUM
esrj-65185	73	10	,	,	PUNCT
esrj-65185	73	11	as	as	SCONJ
esrj-65185	73	12	shown	show	VERB
esrj-65185	73	13	in	in	ADP
esrj-65185	73	14	table	table	NOUN
esrj-65185	73	15	1	1	NUM
esrj-65185	73	16	.	.	PUNCT
esrj-65185	74	1	however	however	ADV
esrj-65185	74	2	,	,	PUNCT
esrj-65185	74	3	stations	station	NOUN
esrj-65185	74	4	55472	55472	NUM
esrj-65185	74	5	and	and	CCONJ
esrj-65185	74	6	54823	54823	NUM
esrj-65185	74	7	have	have	VERB
esrj-65185	74	8	a	a	DET
esrj-65185	74	9	limited	limited	ADJ
esrj-65185	74	10	number	number	NOUN
esrj-65185	74	11	of	of	ADP
esrj-65185	74	12	neighboring	neighboring	NOUN
esrj-65185	74	13	stations	station	NOUN
esrj-65185	74	14	or	or	CCONJ
esrj-65185	74	15	significant	significant	ADJ
esrj-65185	74	16	gaps	gap	NOUN
esrj-65185	74	17	in	in	ADP
esrj-65185	74	18	data	datum	NOUN
esrj-65185	74	19	.	.	PUNCT
esrj-65185	75	1	table	table	NOUN
esrj-65185	75	2	1	1	NUM
esrj-65185	75	3	.	.	PUNCT
esrj-65185	76	1	the	the	DET
esrj-65185	76	2	number	number	NOUN
esrj-65185	76	3	of	of	ADP
esrj-65185	76	4	neighboring	neighboring	NOUN
esrj-65185	76	5	stations	station	NOUN
esrj-65185	76	6	for	for	ADP
esrj-65185	76	7	15	15	NUM
esrj-65185	76	8	target	target	NOUN
esrj-65185	76	9	stations	station	NOUN
esrj-65185	76	10	.	.	PUNCT
esrj-65185	77	1	103spatial	103spatial	ADJ
esrj-65185	77	2	quality	quality	NOUN
esrj-65185	77	3	control	control	NOUN
esrj-65185	77	4	method	method	NOUN
esrj-65185	77	5	for	for	ADP
esrj-65185	77	6	surface	surface	NOUN
esrj-65185	77	7	temperature	temperature	NOUN
esrj-65185	77	8	observations	observation	NOUN
esrj-65185	77	9	based	base	VERB
esrj-65185	77	10	on	on	ADP
esrj-65185	77	11	multiple	multiple	ADJ
esrj-65185	77	12	elements	element	NOUN
esrj-65185	77	13	x	x	PUNCT
esrj-65185	78	1	x	x	X
esrj-65185	78	2	xe	xe	PROPN
esrj-65185	78	3	s	s	PART
esrj-65185	78	4	q=	q=	ADV
esrj-65185	78	5	figure	figure	NOUN
esrj-65185	78	6	1	1	NUM
esrj-65185	78	7	.	.	PUNCT
esrj-65185	79	1	the	the	DET
esrj-65185	79	2	distribution	distribution	NOUN
esrj-65185	79	3	of	of	ADP
esrj-65185	79	4	target	target	NOUN
esrj-65185	79	5	stations	station	NOUN
esrj-65185	79	6	based	base	VERB
esrj-65185	79	7	on	on	ADP
esrj-65185	79	8	geomorphological	geomorphological	ADJ
esrj-65185	79	9	regionalization	regionalization	NOUN
esrj-65185	79	10	in	in	ADP
esrj-65185	79	11	china	china	PROPN
esrj-65185	79	12	.	.	PUNCT
esrj-65185	80	1	to	to	PART
esrj-65185	80	2	test	test	VERB
esrj-65185	80	3	the	the	DET
esrj-65185	80	4	feasibility	feasibility	NOUN
esrj-65185	80	5	of	of	ADP
esrj-65185	80	6	the	the	DET
esrj-65185	80	7	pca	pca	NOUN
esrj-65185	80	8	-	-	PUNCT
esrj-65185	80	9	rf	rf	NOUN
esrj-65185	80	10	method	method	NOUN
esrj-65185	80	11	,	,	PUNCT
esrj-65185	80	12	artificial	artificial	ADJ
esrj-65185	80	13	error	error	NOUN
esrj-65185	80	14	is	be	AUX
esrj-65185	80	15	added	add	VERB
esrj-65185	80	16	randomly	randomly	ADV
esrj-65185	80	17	to	to	ADP
esrj-65185	80	18	the	the	DET
esrj-65185	80	19	observations	observation	NOUN
esrj-65185	80	20	at	at	ADP
esrj-65185	80	21	the	the	DET
esrj-65185	80	22	target	target	NOUN
esrj-65185	80	23	station	station	NOUN
esrj-65185	80	24	.	.	PUNCT
esrj-65185	81	1	a	a	DET
esrj-65185	81	2	comparative	comparative	ADJ
esrj-65185	81	3	analysis	analysis	NOUN
esrj-65185	81	4	is	be	AUX
esrj-65185	81	5	performed	perform	VERB
esrj-65185	81	6	using	use	VERB
esrj-65185	81	7	observations	observation	NOUN
esrj-65185	81	8	with	with	ADP
esrj-65185	81	9	artificial	artificial	ADJ
esrj-65185	81	10	random	random	ADJ
esrj-65185	81	11	error	error	NOUN
esrj-65185	81	12	and	and	CCONJ
esrj-65185	81	13	the	the	DET
esrj-65185	81	14	predicted	predict	VERB
esrj-65185	81	15	values	value	NOUN
esrj-65185	81	16	of	of	ADP
esrj-65185	81	17	the	the	DET
esrj-65185	81	18	prf	prf	PROPN
esrj-65185	81	19	method	method	NOUN
esrj-65185	81	20	.	.	PUNCT
esrj-65185	82	1	hubbard	hubbard	PROPN
esrj-65185	82	2	et	et	PROPN
esrj-65185	82	3	al	al	PROPN
esrj-65185	82	4	.	.	PROPN
esrj-65185	83	1	(	(	PUNCT
esrj-65185	83	2	2005	2005	NUM
esrj-65185	83	3	)	)	PUNCT
esrj-65185	83	4	presented	present	VERB
esrj-65185	83	5	a	a	DET
esrj-65185	83	6	method	method	NOUN
esrj-65185	83	7	of	of	ADP
esrj-65185	83	8	adding	add	VERB
esrj-65185	83	9	false	false	ADJ
esrj-65185	83	10	error	error	NOUN
esrj-65185	83	11	to	to	ADP
esrj-65185	83	12	data	datum	NOUN
esrj-65185	83	13	.	.	PUNCT
esrj-65185	84	1	a	a	DET
esrj-65185	84	2	random	random	ADJ
esrj-65185	84	3	number	number	NOUN
esrj-65185	84	4	q	q	PUNCT
esrj-65185	84	5	with	with	ADP
esrj-65185	84	6	a	a	DET
esrj-65185	84	7	mean	mean	NOUN
esrj-65185	84	8	of	of	ADP
esrj-65185	84	9	zero	zero	NUM
esrj-65185	84	10	and	and	CCONJ
esrj-65185	84	11	a	a	DET
esrj-65185	84	12	range	range	NOUN
esrj-65185	84	13	of	of	ADP
esrj-65185	84	14	±	±	NOUN
esrj-65185	84	15	3,5	3,5	NUM
esrj-65185	84	16	was	be	AUX
esrj-65185	84	17	selected	select	VERB
esrj-65185	84	18	and	and	CCONJ
esrj-65185	84	19	added	add	VERB
esrj-65185	84	20	to	to	ADP
esrj-65185	84	21	the	the	DET
esrj-65185	84	22	observations	observation	NOUN
esrj-65185	84	23	(	(	PUNCT
esrj-65185	84	24	hubbard	hubbard	PROPN
esrj-65185	84	25	et	et	PROPN
esrj-65185	84	26	al	al	PROPN
esrj-65185	84	27	.	.	PROPN
esrj-65185	84	28	,	,	PUNCT
esrj-65185	84	29	2007	2007	NUM
esrj-65185	84	30	):	):	PUNCT
esrj-65185	84	31	(	(	PUNCT
esrj-65185	84	32	1	1	X
esrj-65185	84	33	)	)	PUNCT
esrj-65185	84	34	where	where	SCONJ
esrj-65185	84	35	e	e	NOUN
esrj-65185	84	36	and	and	CCONJ
esrj-65185	84	37	s	s	VERB
esrj-65185	84	38	denote	denote	VERB
esrj-65185	84	39	the	the	DET
esrj-65185	84	40	error	error	NOUN
esrj-65185	84	41	magnitude	magnitude	NOUN
esrj-65185	84	42	and	and	CCONJ
esrj-65185	84	43	standard	standard	ADJ
esrj-65185	84	44	deviation	deviation	NOUN
esrj-65185	84	45	,	,	PUNCT
esrj-65185	84	46	respectively	respectively	ADV
esrj-65185	84	47	,	,	PUNCT
esrj-65185	84	48	of	of	ADP
esrj-65185	84	49	temperature	temperature	NOUN
esrj-65185	84	50	observations	observation	NOUN
esrj-65185	84	51	at	at	ADP
esrj-65185	84	52	the	the	DET
esrj-65185	84	53	target	target	NOUN
esrj-65185	84	54	station	station	NOUN
esrj-65185	84	55	.	.	PUNCT
esrj-65185	85	1	additionally	additionally	ADV
esrj-65185	85	2	,	,	PUNCT
esrj-65185	85	3	x	x	PUNCT
esrj-65185	85	4	is	be	AUX
esrj-65185	85	5	the	the	DET
esrj-65185	85	6	location	location	NOUN
esrj-65185	85	7	of	of	ADP
esrj-65185	85	8	mistake	mistake	NOUN
esrj-65185	85	9	value	value	NOUN
esrj-65185	85	10	insertion	insertion	NOUN
esrj-65185	85	11	.	.	PUNCT
esrj-65185	86	1	3	3	X
esrj-65185	86	2	.	.	X
esrj-65185	86	3	method	method	PROPN
esrj-65185	86	4	3.1	3.1	NUM
esrj-65185	86	5	.	.	PUNCT
esrj-65185	87	1	random	random	ADJ
esrj-65185	87	2	forest	forest	NOUN
esrj-65185	87	3	algorithm	algorithm	PROPN
esrj-65185	87	4	random	random	ADJ
esrj-65185	87	5	forest	forest	NOUN
esrj-65185	87	6	(	(	PUNCT
esrj-65185	87	7	rf	rf	NOUN
esrj-65185	87	8	)	)	PUNCT
esrj-65185	87	9	is	be	AUX
esrj-65185	87	10	an	an	DET
esrj-65185	87	11	ensemble	ensemble	ADJ
esrj-65185	87	12	learning	learning	NOUN
esrj-65185	87	13	method	method	NOUN
esrj-65185	87	14	for	for	ADP
esrj-65185	87	15	classification	classification	NOUN
esrj-65185	87	16	and	and	CCONJ
esrj-65185	87	17	regression	regression	NOUN
esrj-65185	87	18	that	that	PRON
esrj-65185	87	19	constructs	construct	VERB
esrj-65185	87	20	some	some	DET
esrj-65185	87	21	randomized	randomized	ADJ
esrj-65185	87	22	decision	decision	NOUN
esrj-65185	87	23	trees	tree	NOUN
esrj-65185	87	24	during	during	ADP
esrj-65185	87	25	the	the	DET
esrj-65185	87	26	training	training	NOUN
esrj-65185	87	27	phase	phase	NOUN
esrj-65185	87	28	and	and	CCONJ
esrj-65185	87	29	make	make	VERB
esrj-65185	87	30	predictions	prediction	NOUN
esrj-65185	87	31	by	by	ADP
esrj-65185	87	32	averaging	average	VERB
esrj-65185	87	33	the	the	DET
esrj-65185	87	34	results	result	NOUN
esrj-65185	87	35	(	(	PUNCT
esrj-65185	87	36	scornet	scornet	NOUN
esrj-65185	87	37	et	et	PROPN
esrj-65185	87	38	al	al	PROPN
esrj-65185	87	39	.	.	PROPN
esrj-65185	87	40	,	,	PUNCT
esrj-65185	87	41	2015	2015	NUM
esrj-65185	87	42	)	)	PUNCT
esrj-65185	87	43	.	.	PUNCT
esrj-65185	88	1	in	in	ADP
esrj-65185	88	2	ensemble	ensemble	ADJ
esrj-65185	88	3	learning	learning	NOUN
esrj-65185	88	4	,	,	PUNCT
esrj-65185	88	5	each	each	DET
esrj-65185	88	6	decision	decision	NOUN
esrj-65185	88	7	tree	tree	NOUN
esrj-65185	88	8	is	be	AUX
esrj-65185	88	9	a	a	DET
esrj-65185	88	10	weak	weak	ADJ
esrj-65185	88	11	classifier	classifier	NOUN
esrj-65185	88	12	,	,	PUNCT
esrj-65185	88	13	and	and	CCONJ
esrj-65185	88	14	some	some	DET
esrj-65185	88	15	weak	weak	ADJ
esrj-65185	88	16	classifiers	classifier	NOUN
esrj-65185	88	17	are	be	AUX
esrj-65185	88	18	combined	combine	VERB
esrj-65185	88	19	into	into	ADP
esrj-65185	88	20	a	a	DET
esrj-65185	88	21	strong	strong	ADJ
esrj-65185	88	22	classifier	classifier	NOUN
esrj-65185	88	23	.	.	PUNCT
esrj-65185	89	1	this	this	DET
esrj-65185	89	2	approach	approach	NOUN
esrj-65185	89	3	is	be	AUX
esrj-65185	89	4	much	much	ADV
esrj-65185	89	5	easier	easy	ADJ
esrj-65185	89	6	than	than	ADP
esrj-65185	89	7	looking	look	VERB
esrj-65185	89	8	for	for	ADP
esrj-65185	89	9	a	a	DET
esrj-65185	89	10	strong	strong	ADJ
esrj-65185	89	11	classifier	classifier	NOUN
esrj-65185	89	12	directly	directly	ADV
esrj-65185	89	13	.	.	PUNCT
esrj-65185	90	1	rf	rf	PRON
esrj-65185	90	2	generates	generate	VERB
esrj-65185	90	3	many	many	ADJ
esrj-65185	90	4	regression	regression	NOUN
esrj-65185	90	5	trees	tree	NOUN
esrj-65185	90	6	to	to	PART
esrj-65185	90	7	improve	improve	VERB
esrj-65185	90	8	the	the	DET
esrj-65185	90	9	prediction	prediction	NOUN
esrj-65185	90	10	performance	performance	NOUN
esrj-65185	90	11	of	of	ADP
esrj-65185	90	12	the	the	DET
esrj-65185	90	13	model	model	NOUN
esrj-65185	90	14	,	,	PUNCT
esrj-65185	90	15	and	and	CCONJ
esrj-65185	90	16	each	each	DET
esrj-65185	90	17	split	split	NOUN
esrj-65185	90	18	in	in	ADP
esrj-65185	90	19	the	the	DET
esrj-65185	90	20	tree	tree	NOUN
esrj-65185	90	21	is	be	AUX
esrj-65185	90	22	determined	determine	VERB
esrj-65185	90	23	using	use	VERB
esrj-65185	90	24	a	a	DET
esrj-65185	90	25	randomized	randomized	ADJ
esrj-65185	90	26	subset	subset	NOUN
esrj-65185	90	27	of	of	ADP
esrj-65185	90	28	variables	variable	NOUN
esrj-65185	90	29	/	/	SYM
esrj-65185	90	30	factors	factor	NOUN
esrj-65185	90	31	at	at	ADP
esrj-65185	90	32	each	each	DET
esrj-65185	90	33	node	node	NOUN
esrj-65185	90	34	(	(	PUNCT
esrj-65185	90	35	rahmati	rahmati	NOUN
esrj-65185	90	36	et	et	PROPN
esrj-65185	90	37	al	al	PROPN
esrj-65185	90	38	.	.	PROPN
esrj-65185	90	39	,	,	PUNCT
esrj-65185	90	40	2016	2016	NUM
esrj-65185	90	41	)	)	PUNCT
esrj-65185	90	42	.	.	PUNCT
esrj-65185	91	1	the	the	DET
esrj-65185	91	2	outcome	outcome	NOUN
esrj-65185	91	3	is	be	AUX
esrj-65185	91	4	the	the	DET
esrj-65185	91	5	average	average	NOUN
esrj-65185	91	6	of	of	ADP
esrj-65185	91	7	the	the	DET
esrj-65185	91	8	results	result	NOUN
esrj-65185	91	9	of	of	ADP
esrj-65185	91	10	all	all	DET
esrj-65185	91	11	the	the	DET
esrj-65185	91	12	trees	tree	NOUN
esrj-65185	91	13	(	(	PUNCT
esrj-65185	91	14	cutler	cutler	NOUN
esrj-65185	91	15	et	et	PROPN
esrj-65185	91	16	al	al	PROPN
esrj-65185	91	17	.	.	PROPN
esrj-65185	91	18	,	,	PUNCT
esrj-65185	91	19	2007	2007	NUM
esrj-65185	91	20	)	)	PUNCT
esrj-65185	91	21	.	.	PUNCT
esrj-65185	92	1	3.2	3.2	NUM
esrj-65185	92	2	.	.	PUNCT
esrj-65185	92	3	principal	principal	ADJ
esrj-65185	92	4	component	component	NOUN
esrj-65185	92	5	analysis	analysis	NOUN
esrj-65185	92	6	algorithm	algorithm	NOUN
esrj-65185	92	7	principal	principal	NOUN
esrj-65185	92	8	component	component	NOUN
esrj-65185	92	9	analysis	analysis	NOUN
esrj-65185	92	10	(	(	PUNCT
esrj-65185	92	11	pca	pca	NOUN
esrj-65185	92	12	)	)	PUNCT
esrj-65185	92	13	is	be	AUX
esrj-65185	92	14	a	a	DET
esrj-65185	92	15	method	method	NOUN
esrj-65185	92	16	for	for	ADP
esrj-65185	92	17	analyzing	analyze	VERB
esrj-65185	92	18	a	a	DET
esrj-65185	92	19	positive	positive	ADJ
esrj-65185	92	20	semi	semi	ADJ
esrj-65185	92	21	-	-	ADJ
esrj-65185	92	22	definite	definite	ADJ
esrj-65185	92	23	hermitian	hermitian	ADJ
esrj-65185	92	24	matrix	matrix	NOUN
esrj-65185	92	25	.	.	PUNCT
esrj-65185	93	1	the	the	DET
esrj-65185	93	2	goal	goal	NOUN
esrj-65185	93	3	of	of	ADP
esrj-65185	93	4	pca	pca	PROPN
esrj-65185	93	5	is	be	AUX
esrj-65185	93	6	to	to	PART
esrj-65185	93	7	identify	identify	VERB
esrj-65185	93	8	the	the	DET
esrj-65185	93	9	most	most	ADV
esrj-65185	93	10	urgent	urgent	ADJ
esrj-65185	93	11	basis	basis	NOUN
esrj-65185	93	12	by	by	ADP
esrj-65185	93	13	using	use	VERB
esrj-65185	93	14	a	a	DET
esrj-65185	93	15	new	new	ADJ
esrj-65185	93	16	base	base	NOUN
esrj-65185	93	17	to	to	PART
esrj-65185	93	18	filter	filter	VERB
esrj-65185	93	19	out	out	ADP
esrj-65185	93	20	the	the	DET
esrj-65185	93	21	noise	noise	NOUN
esrj-65185	93	22	and	and	CCONJ
esrj-65185	93	23	reveal	reveal	VERB
esrj-65185	93	24	hidden	hidden	ADJ
esrj-65185	93	25	structures	structure	NOUN
esrj-65185	93	26	(	(	PUNCT
esrj-65185	93	27	shlens	shlen	NOUN
esrj-65185	93	28	,	,	PUNCT
esrj-65185	93	29	2014	2014	NUM
esrj-65185	93	30	)	)	PUNCT
esrj-65185	93	31	.	.	PUNCT
esrj-65185	94	1	notably	notably	ADV
esrj-65185	94	2	,	,	PUNCT
esrj-65185	94	3	pca	pca	PROPN
esrj-65185	94	4	is	be	AUX
esrj-65185	94	5	used	use	VERB
esrj-65185	94	6	to	to	PART
esrj-65185	94	7	analyze	analyze	VERB
esrj-65185	94	8	the	the	DET
esrj-65185	94	9	covariance	covariance	NOUN
esrj-65185	94	10	matrix	matrix	NOUN
esrj-65185	94	11	of	of	ADP
esrj-65185	94	12	sampled	sample	VERB
esrj-65185	94	13	random	random	ADJ
esrj-65185	94	14	vectors	vector	NOUN
esrj-65185	94	15	(	(	PUNCT
esrj-65185	94	16	lloyd	lloyd	PROPN
esrj-65185	94	17	et	et	PROPN
esrj-65185	94	18	al	al	PROPN
esrj-65185	94	19	.	.	PROPN
esrj-65185	94	20	,	,	PUNCT
esrj-65185	94	21	2014	2014	NUM
esrj-65185	94	22	)	)	PUNCT
esrj-65185	94	23	.	.	PUNCT
esrj-65185	95	1	high	high	ADJ
esrj-65185	95	2	-	-	PUNCT
esrj-65185	95	3	dimensional	dimensional	ADJ
esrj-65185	95	4	data	datum	NOUN
esrj-65185	95	5	are	be	AUX
esrj-65185	95	6	mapped	map	VERB
esrj-65185	95	7	into	into	ADP
esrj-65185	95	8	a	a	DET
esrj-65185	95	9	new	new	ADJ
esrj-65185	95	10	coordinate	coordinate	NOUN
esrj-65185	95	11	system	system	NOUN
esrj-65185	95	12	and	and	CCONJ
esrj-65185	95	13	transformed	transform	VERB
esrj-65185	95	14	to	to	ADP
esrj-65185	95	15	low	low	ADJ
esrj-65185	95	16	-	-	PUNCT
esrj-65185	95	17	dimensional	dimensional	ADJ
esrj-65185	95	18	data	datum	NOUN
esrj-65185	95	19	that	that	PRON
esrj-65185	95	20	can	can	AUX
esrj-65185	95	21	partly	partly	ADV
esrj-65185	95	22	represent	represent	VERB
esrj-65185	95	23	the	the	DET
esrj-65185	95	24	original	original	ADJ
esrj-65185	95	25	data	datum	NOUN
esrj-65185	95	26	.	.	PUNCT
esrj-65185	96	1	in	in	ADP
esrj-65185	96	2	this	this	DET
esrj-65185	96	3	manner	manner	NOUN
esrj-65185	96	4	,	,	PUNCT
esrj-65185	96	5	pca	pca	PROPN
esrj-65185	96	6	can	can	AUX
esrj-65185	96	7	significantly	significantly	ADV
esrj-65185	96	8	reduce	reduce	VERB
esrj-65185	96	9	the	the	DET
esrj-65185	96	10	run	run	ADJ
esrj-65185	96	11	time	time	NOUN
esrj-65185	96	12	of	of	ADP
esrj-65185	96	13	algorithms	algorithm	NOUN
esrj-65185	96	14	,	,	PUNCT
esrj-65185	96	15	especially	especially	ADV
esrj-65185	96	16	in	in	ADP
esrj-65185	96	17	big	big	ADJ
esrj-65185	96	18	data	datum	NOUN
esrj-65185	96	19	processing	processing	NOUN
esrj-65185	96	20	.	.	PUNCT
esrj-65185	97	1	3.3	3.3	NUM
esrj-65185	97	2	.	.	PUNCT
esrj-65185	98	1	pca	pca	NOUN
esrj-65185	98	2	-	-	PUNCT
esrj-65185	98	3	rf	rf	ADJ
esrj-65185	98	4	algorithm	algorithm	NOUN
esrj-65185	98	5	combined	combine	VERB
esrj-65185	98	6	with	with	ADP
esrj-65185	98	7	the	the	DET
esrj-65185	98	8	above	above	ADJ
esrj-65185	98	9	concepts	concept	NOUN
esrj-65185	98	10	,	,	PUNCT
esrj-65185	98	11	the	the	DET
esrj-65185	98	12	pca	pca	NOUN
esrj-65185	98	13	-	-	PUNCT
esrj-65185	98	14	rf	rf	ADJ
esrj-65185	98	15	algorithm	algorithm	NOUN
esrj-65185	98	16	is	be	AUX
esrj-65185	98	17	proposed	propose	VERB
esrj-65185	98	18	in	in	ADP
esrj-65185	98	19	this	this	DET
esrj-65185	98	20	paper	paper	NOUN
esrj-65185	98	21	.	.	PUNCT
esrj-65185	99	1	the	the	DET
esrj-65185	99	2	concrete	concrete	ADJ
esrj-65185	99	3	steps	step	NOUN
esrj-65185	99	4	in	in	ADP
esrj-65185	99	5	the	the	DET
esrj-65185	99	6	algorithm	algorithm	NOUN
esrj-65185	99	7	are	be	AUX
esrj-65185	99	8	divided	divide	VERB
esrj-65185	99	9	as	as	SCONJ
esrj-65185	99	10	follows	follow	VERB
esrj-65185	99	11	(	(	PUNCT
esrj-65185	99	12	asis	asis	PROPN
esrj-65185	99	13	et	et	PROPN
esrj-65185	99	14	al	al	PROPN
esrj-65185	99	15	.	.	PROPN
esrj-65185	99	16	,	,	PUNCT
esrj-65185	99	17	2017	2017	NUM
esrj-65185	99	18	)	)	PUNCT
esrj-65185	99	19	step	step	NOUN
esrj-65185	99	20	1	1	NUM
esrj-65185	99	21	:	:	PUNCT
esrj-65185	99	22	the	the	DET
esrj-65185	99	23	pca	pca	NOUN
esrj-65185	99	24	method	method	NOUN
esrj-65185	99	25	is	be	AUX
esrj-65185	99	26	used	use	VERB
esrj-65185	99	27	to	to	PART
esrj-65185	99	28	analyze	analyze	VERB
esrj-65185	99	29	the	the	DET
esrj-65185	99	30	multiple	multiple	ADJ
esrj-65185	99	31	element	element	NOUN
esrj-65185	99	32	observations	observation	NOUN
esrj-65185	99	33	in	in	ADP
esrj-65185	99	34	space	space	NOUN
esrj-65185	99	35	.	.	PUNCT
esrj-65185	100	1	assuming	assume	VERB
esrj-65185	100	2	that	that	SCONJ
esrj-65185	100	3	n	n	PRON
esrj-65185	100	4	represents	represent	VERB
esrj-65185	100	5	the	the	DET
esrj-65185	100	6	number	number	NOUN
esrj-65185	100	7	of	of	ADP
esrj-65185	100	8	samples	sample	NOUN
esrj-65185	100	9	,	,	PUNCT
esrj-65185	100	10	m	m	VERB
esrj-65185	100	11	represents	represent	VERB
esrj-65185	100	12	the	the	DET
esrj-65185	100	13	number	number	NOUN
esrj-65185	100	14	of	of	ADP
esrj-65185	100	15	features	feature	NOUN
esrj-65185	100	16	,	,	PUNCT
esrj-65185	100	17	and	and	CCONJ
esrj-65185	100	18	x	x	SYM
esrj-65185	100	19	n	n	CCONJ
esrj-65185	100	20	,	,	PUNCT
esrj-65185	100	21	m	m	VERB
esrj-65185	100	22	represents	represent	VERB
esrj-65185	100	23	the	the	DET
esrj-65185	100	24	feature	feature	NOUN
esrj-65185	100	25	set	set	NOUN
esrj-65185	100	26	,	,	PUNCT
esrj-65185	100	27	the	the	DET
esrj-65185	100	28	average	average	ADJ
esrj-65185	100	29	value	value	NOUN
esrj-65185	100	30	of	of	ADP
esrj-65185	100	31	the	the	DET
esrj-65185	100	32	ith	ith	PROPN
esrj-65185	100	33	feature	feature	NOUN
esrj-65185	100	34	iy	iy	PROPN
esrj-65185	100	35	is	be	AUX
esrj-65185	100	36	calculated	calculate	VERB
esrj-65185	100	37	using	use	VERB
esrj-65185	100	38	(	(	PUNCT
esrj-65185	100	39	2	2	NUM
esrj-65185	100	40	)	)	PUNCT
esrj-65185	100	41	.	.	PUNCT
esrj-65185	101	1	(	(	PUNCT
esrj-65185	101	2	2	2	X
esrj-65185	101	3	)	)	PUNCT
esrj-65185	101	4	the	the	DET
esrj-65185	101	5	standard	standard	ADJ
esrj-65185	101	6	error	error	NOUN
esrj-65185	101	7	si	si	NOUN
esrj-65185	101	8	of	of	ADP
esrj-65185	101	9	the	the	DET
esrj-65185	101	10	ith	ith	PROPN
esrj-65185	101	11	feature	feature	NOUN
esrj-65185	101	12	is	be	AUX
esrj-65185	101	13	calculated	calculate	VERB
esrj-65185	101	14	using	use	VERB
esrj-65185	101	15	(	(	PUNCT
esrj-65185	101	16	3	3	NUM
esrj-65185	101	17	)	)	PUNCT
esrj-65185	101	18	.	.	PUNCT
esrj-65185	102	1	(	(	PUNCT
esrj-65185	102	2	3	3	X
esrj-65185	102	3	)	)	PUNCT
esrj-65185	102	4	then	then	ADV
esrj-65185	102	5	,	,	PUNCT
esrj-65185	102	6	through	through	ADP
esrj-65185	102	7	standardization	standardization	NOUN
esrj-65185	102	8	,	,	PUNCT
esrj-65185	102	9	(	(	PUNCT
esrj-65185	102	10	4	4	X
esrj-65185	102	11	)	)	PUNCT
esrj-65185	102	12	is	be	AUX
esrj-65185	102	13	obtained	obtain	VERB
esrj-65185	102	14	.	.	PUNCT
esrj-65185	103	1	(	(	PUNCT
esrj-65185	103	2	4	4	X
esrj-65185	103	3	)	)	PUNCT
esrj-65185	103	4	finally	finally	ADV
esrj-65185	103	5	,	,	PUNCT
esrj-65185	103	6	the	the	DET
esrj-65185	103	7	correlation	correlation	NOUN
esrj-65185	103	8	matrix	matrix	NOUN
esrj-65185	103	9	of	of	ADP
esrj-65185	103	10	feature	feature	NOUN
esrj-65185	103	11	sample	sample	PROPN
esrj-65185	103	12	rm	rm	PROPN
esrj-65185	103	13	,	,	PUNCT
esrj-65185	103	14	m	m	VERB
esrj-65185	103	15	is	be	AUX
esrj-65185	103	16	obtained	obtain	VERB
esrj-65185	103	17	,	,	PUNCT
esrj-65185	103	18	as	as	SCONJ
esrj-65185	103	19	shown	show	VERB
esrj-65185	103	20	in	in	ADP
esrj-65185	103	21	(	(	PUNCT
esrj-65185	103	22	5	5	NUM
esrj-65185	103	23	)	)	PUNCT
esrj-65185	103	24	.	.	PUNCT
esrj-65185	104	1	(	(	PUNCT
esrj-65185	104	2	5	5	X
esrj-65185	104	3	)	)	PUNCT
esrj-65185	104	4	an	an	DET
esrj-65185	104	5	optimal	optimal	ADJ
esrj-65185	104	6	feature	feature	NOUN
esrj-65185	104	7	sample	sample	NOUN
esrj-65185	104	8	is	be	AUX
esrj-65185	104	9	established	establish	VERB
esrj-65185	104	10	by	by	ADP
esrj-65185	104	11	extracting	extract	VERB
esrj-65185	104	12	the	the	DET
esrj-65185	104	13	matrix	matrix	NOUN
esrj-65185	104	14	with	with	ADP
esrj-65185	104	15	high	high	ADJ
esrj-65185	104	16	correlation	correlation	NOUN
esrj-65185	104	17	factors	factor	NOUN
esrj-65185	104	18	.	.	PUNCT
esrj-65185	105	1	step	step	NOUN
esrj-65185	105	2	2	2	NUM
esrj-65185	105	3	:	:	PUNCT
esrj-65185	105	4	the	the	DET
esrj-65185	105	5	rf	rf	ADJ
esrj-65185	105	6	algorithm	algorithm	NOUN
esrj-65185	105	7	is	be	AUX
esrj-65185	105	8	used	use	VERB
esrj-65185	105	9	to	to	PART
esrj-65185	105	10	train	train	VERB
esrj-65185	105	11	and	and	CCONJ
esrj-65185	105	12	test	test	VERB
esrj-65185	105	13	the	the	DET
esrj-65185	105	14	optimal	optimal	ADJ
esrj-65185	105	15	feature	feature	NOUN
esrj-65185	105	16	samples	sample	NOUN
esrj-65185	105	17	,	,	PUNCT
esrj-65185	105	18	and	and	CCONJ
esrj-65185	105	19	the	the	DET
esrj-65185	105	20	pca	pca	NOUN
esrj-65185	105	21	-	-	PUNCT
esrj-65185	105	22	rf	rf	ADJ
esrj-65185	105	23	model	model	NOUN
esrj-65185	105	24	produces	produce	VERB
esrj-65185	105	25	a	a	DET
esrj-65185	105	26	predictive	predictive	ADJ
esrj-65185	105	27	value	value	NOUN
esrj-65185	105	28	esty	esty	NOUN
esrj-65185	105	29	.	.	PUNCT
esrj-65185	106	1	step	step	VERB
esrj-65185	106	2	3	3	NUM
esrj-65185	106	3	:	:	PUNCT
esrj-65185	106	4	the	the	DET
esrj-65185	106	5	predicted	predict	VERB
esrj-65185	106	6	values	value	NOUN
esrj-65185	106	7	esty	esty	NOUN
esrj-65185	106	8	and	and	CCONJ
esrj-65185	106	9	observed	observed	ADJ
esrj-65185	106	10	values	value	NOUN
esrj-65185	106	11	obsy	obsy	NOUN
esrj-65185	106	12	are	be	AUX
esrj-65185	106	13	tested	test	VERB
esrj-65185	106	14	for	for	ADP
esrj-65185	106	15	a	a	DET
esrj-65185	106	16	given	give	VERB
esrj-65185	106	17	threshold	threshold	NOUN
esrj-65185	106	18	,	,	PUNCT
esrj-65185	106	19	as	as	SCONJ
esrj-65185	106	20	shown	show	VERB
esrj-65185	106	21	in	in	ADP
esrj-65185	106	22	(	(	PUNCT
esrj-65185	106	23	6	6	NUM
esrj-65185	106	24	):	):	PUNCT
esrj-65185	106	25	(	(	PUNCT
esrj-65185	106	26	6	6	NUM
esrj-65185	106	27	)	)	PUNCT
esrj-65185	106	28	where	where	SCONJ
esrj-65185	106	29	f	f	PROPN
esrj-65185	106	30	is	be	AUX
esrj-65185	106	31	the	the	DET
esrj-65185	106	32	qc	qc	PROPN
esrj-65185	106	33	parameter	parameter	NOUN
esrj-65185	106	34	and	and	CCONJ
esrj-65185	106	35	∂	∂	NUM
esrj-65185	106	36	is	be	AUX
esrj-65185	106	37	the	the	DET
esrj-65185	106	38	standard	standard	ADJ
esrj-65185	106	39	error	error	NOUN
esrj-65185	106	40	between	between	ADP
esrj-65185	106	41	observed	observe	VERB
esrj-65185	106	42	values	value	NOUN
esrj-65185	106	43	and	and	CCONJ
esrj-65185	106	44	predicted	predict	VERB
esrj-65185	106	45	values	value	NOUN
esrj-65185	106	46	at	at	ADP
esrj-65185	106	47	the	the	DET
esrj-65185	106	48	target	target	NOUN
esrj-65185	106	49	station	station	NOUN
esrj-65185	106	50	.	.	PUNCT
esrj-65185	107	1	if	if	SCONJ
esrj-65185	107	2	the	the	DET
esrj-65185	107	3	conditions	condition	NOUN
esrj-65185	107	4	of	of	ADP
esrj-65185	107	5	(	(	PUNCT
esrj-65185	107	6	6	6	NUM
esrj-65185	107	7	)	)	PUNCT
esrj-65185	107	8	can	can	AUX
esrj-65185	107	9	not	not	PART
esrj-65185	107	10	be	be	AUX
esrj-65185	107	11	met	meet	VERB
esrj-65185	107	12	,	,	PUNCT
esrj-65185	107	13	the	the	DET
esrj-65185	107	14	data	datum	NOUN
esrj-65185	107	15	are	be	AUX
esrj-65185	107	16	considered	consider	VERB
esrj-65185	107	17	incorrect	incorrect	ADJ
esrj-65185	107	18	(	(	PUNCT
esrj-65185	107	19	or	or	CCONJ
esrj-65185	107	20	associated	associate	VERB
esrj-65185	107	21	with	with	ADP
esrj-65185	107	22	error	error	NOUN
esrj-65185	107	23	)	)	PUNCT
esrj-65185	107	24	.	.	PUNCT
esrj-65185	108	1	if	if	SCONJ
esrj-65185	108	2	the	the	DET
esrj-65185	108	3	conditions	condition	NOUN
esrj-65185	108	4	of	of	ADP
esrj-65185	108	5	(	(	PUNCT
esrj-65185	108	6	6	6	NUM
esrj-65185	108	7	)	)	PUNCT
esrj-65185	108	8	are	be	AUX
esrj-65185	108	9	met	meet	VERB
esrj-65185	108	10	,	,	PUNCT
esrj-65185	108	11	the	the	DET
esrj-65185	108	12	data	datum	NOUN
esrj-65185	108	13	are	be	AUX
esrj-65185	108	14	considered	consider	VERB
esrj-65185	108	15	correct	correct	ADJ
esrj-65185	108	16	values	value	NOUN
esrj-65185	108	17	(	(	PUNCT
esrj-65185	108	18	ridzuan	ridzuan	NOUN
esrj-65185	108	19	et	et	PROPN
esrj-65185	108	20	al	al	PROPN
esrj-65185	108	21	.	.	PROPN
esrj-65185	108	22	,	,	PUNCT
esrj-65185	108	23	2017	2017	NUM
esrj-65185	108	24	)	)	PUNCT
esrj-65185	108	25	.	.	PUNCT
esrj-65185	109	1	3.3	3.3	NUM
esrj-65185	109	2	.	.	PUNCT
esrj-65185	109	3	evaluation	evaluation	NOUN
esrj-65185	109	4	of	of	ADP
esrj-65185	109	5	model	model	NOUN
esrj-65185	109	6	performance	performance	NOUN
esrj-65185	109	7	to	to	PART
esrj-65185	109	8	analyze	analyze	VERB
esrj-65185	109	9	different	different	ADJ
esrj-65185	109	10	forecasting	forecasting	NOUN
esrj-65185	109	11	models	model	NOUN
esrj-65185	109	12	with	with	ADP
esrj-65185	109	13	different	different	ADJ
esrj-65185	109	14	conditions	condition	NOUN
esrj-65185	109	15	,	,	PUNCT
esrj-65185	109	16	the	the	DET
esrj-65185	109	17	root	root	NOUN
esrj-65185	109	18	means	mean	VERB
esrj-65185	109	19	square	square	ADJ
esrj-65185	109	20	error	error	NOUN
esrj-65185	109	21	(	(	PUNCT
esrj-65185	109	22	rmse	rmse	NOUN
esrj-65185	109	23	)	)	PUNCT
esrj-65185	109	24	and	and	CCONJ
esrj-65185	109	25	mean	mean	VERB
esrj-65185	109	26	absolute	absolute	ADJ
esrj-65185	109	27	error	error	NOUN
esrj-65185	109	28	(	(	PUNCT
esrj-65185	109	29	mae	mae	PROPN
esrj-65185	109	30	)	)	PUNCT
esrj-65185	109	31	were	be	AUX
esrj-65185	109	32	selected	select	VERB
esrj-65185	109	33	as	as	ADP
esrj-65185	109	34	evaluation	evaluation	NOUN
esrj-65185	109	35	metrics	metric	NOUN
esrj-65185	109	36	.	.	PUNCT
esrj-65185	110	1	rmse	rmse	PROPN
esrj-65185	110	2	is	be	AUX
esrj-65185	110	3	the	the	DET
esrj-65185	110	4	square	square	ADJ
esrj-65185	110	5	root	root	NOUN
esrj-65185	110	6	of	of	ADP
esrj-65185	110	7	the	the	DET
esrj-65185	110	8	ratio	ratio	NOUN
esrj-65185	110	9	of	of	ADP
esrj-65185	110	10	the	the	DET
esrj-65185	110	11	square	square	NOUN
esrj-65185	110	12	of	of	ADP
esrj-65185	110	13	the	the	DET
esrj-65185	110	14	predicted	predict	VERB
esrj-65185	110	15	value	value	NOUN
esrj-65185	110	16	and	and	CCONJ
esrj-65185	110	17	the	the	DET
esrj-65185	110	18	real	real	ADJ
esrj-65185	110	19	value	value	NOUN
esrj-65185	110	20	,	,	PUNCT
esrj-65185	110	21	and	and	CCONJ
esrj-65185	110	22	mae	mae	PROPN
esrj-65185	110	23	can	can	AUX
esrj-65185	110	24	accurately	accurately	ADV
esrj-65185	110	25	reflect	reflect	VERB
esrj-65185	110	26	the	the	DET
esrj-65185	110	27	size	size	NOUN
esrj-65185	110	28	of	of	ADP
esrj-65185	110	29	the	the	DET
esrj-65185	110	30	prediction	prediction	NOUN
esrj-65185	110	31	error	error	NOUN
esrj-65185	110	32	.	.	PUNCT
esrj-65185	111	1	their	their	PRON
esrj-65185	111	2	formulas	formula	NOUN
esrj-65185	111	3	are	be	AUX
esrj-65185	111	4	as	as	SCONJ
esrj-65185	111	5	follows	follow	VERB
esrj-65185	111	6	.	.	PUNCT
esrj-65185	112	1	(	(	PUNCT
esrj-65185	112	2	7	7	NUM
esrj-65185	112	3	)	)	PUNCT
esrj-65185	112	4	(	(	PUNCT
esrj-65185	112	5	8)	8)	NUM
esrj-65185	112	6	4	4	NUM
esrj-65185	112	7	.	.	PUNCT
esrj-65185	112	8	results	result	NOUN
esrj-65185	112	9	and	and	CCONJ
esrj-65185	112	10	discussion	discussion	NOUN
esrj-65185	112	11	the	the	DET
esrj-65185	112	12	estimates	estimate	NOUN
esrj-65185	112	13	using	use	VERB
esrj-65185	112	14	pca	pca	NOUN
esrj-65185	112	15	-	-	PUNCT
esrj-65185	112	16	rf	rf	NOUN
esrj-65185	112	17	were	be	AUX
esrj-65185	112	18	evaluated	evaluate	VERB
esrj-65185	112	19	against	against	ADP
esrj-65185	112	20	the	the	DET
esrj-65185	112	21	measurements	measurement	NOUN
esrj-65185	112	22	at	at	ADP
esrj-65185	112	23	15	15	NUM
esrj-65185	112	24	target	target	NOUN
esrj-65185	112	25	stations	station	NOUN
esrj-65185	112	26	,	,	PUNCT
esrj-65185	112	27	and	and	CCONJ
esrj-65185	112	28	selected	select	VERB
esrj-65185	112	29	observations	observation	NOUN
esrj-65185	112	30	are	be	AUX
esrj-65185	112	31	shown	show	VERB
esrj-65185	112	32	in	in	ADP
esrj-65185	112	33	figure	figure	NOUN
esrj-65185	112	34	1	1	NUM
esrj-65185	112	35	and	and	CCONJ
esrj-65185	112	36	table	table	NOUN
esrj-65185	112	37	1	1	NUM
esrj-65185	112	38	(	(	PUNCT
esrj-65185	112	39	you	you	PRON
esrj-65185	112	40	et	et	VERB
esrj-65185	112	41	al	al	PROPN
esrj-65185	112	42	.	.	PROPN
esrj-65185	112	43	,	,	PUNCT
esrj-65185	112	44	2017	2017	NUM
esrj-65185	112	45	)	)	PUNCT
esrj-65185	112	46	.	.	PUNCT
esrj-65185	113	1	in	in	ADP
esrj-65185	113	2	the	the	DET
esrj-65185	113	3	analysis	analysis	NOUN
esrj-65185	113	4	of	of	ADP
esrj-65185	113	5	sample	sample	NOUN
esrj-65185	113	6	dependence	dependence	NOUN
esrj-65185	113	7	,	,	PUNCT
esrj-65185	113	8	observations	observation	NOUN
esrj-65185	113	9	over	over	ADP
esrj-65185	113	10	different	different	ADJ
esrj-65185	113	11	periods	period	NOUN
esrj-65185	113	12	were	be	AUX
esrj-65185	113	13	selected	select	VERB
esrj-65185	113	14	to	to	PART
esrj-65185	113	15	predict	predict	VERB
esrj-65185	113	16	observations	observation	NOUN
esrj-65185	113	17	of	of	ADP
esrj-65185	113	18	daily	daily	ADJ
esrj-65185	113	19	mean	mean	ADJ
esrj-65185	113	20	temperature	temperature	NOUN
esrj-65185	113	21	,	,	PUNCT
esrj-65185	113	22	and	and	CCONJ
esrj-65185	113	23	the	the	DET
esrj-65185	113	24	training	training	NOUN
esrj-65185	113	25	samples	sample	NOUN
esrj-65185	113	26	were	be	AUX
esrj-65185	113	27	the	the	DET
esrj-65185	113	28	six	six	NUM
esrj-65185	113	29	meteorological	meteorological	ADJ
esrj-65185	113	30	elements	element	NOUN
esrj-65185	113	31	observed	observe	VERB
esrj-65185	113	32	four	four	NUM
esrj-65185	113	33	times	time	NOUN
esrj-65185	113	34	daily	daily	ADV
esrj-65185	113	35	in	in	ADP
esrj-65185	113	36	the	the	DET
esrj-65185	113	37	1	1	NUM
esrj-65185	113	38	,	,	PUNCT
esrj-65185	113	39	3	3	NUM
esrj-65185	113	40	,	,	PUNCT
esrj-65185	113	41	5	5	NUM
esrj-65185	113	42	,	,	PUNCT
esrj-65185	113	43	7	7	NUM
esrj-65185	113	44	and	and	CCONJ
esrj-65185	113	45	9	9	NUM
esrj-65185	113	46	years	year	NOUN
esrj-65185	113	47	before	before	ADP
esrj-65185	113	48	2014	2014	NUM
esrj-65185	113	49	.	.	PUNCT
esrj-65185	114	1	the	the	DET
esrj-65185	114	2	testing	testing	NOUN
esrj-65185	114	3	samples	sample	NOUN
esrj-65185	114	4	were	be	AUX
esrj-65185	114	5	the	the	DET
esrj-65185	114	6	six	six	NUM
esrj-65185	114	7	meteorological	meteorological	ADJ
esrj-65185	114	8	factors	factor	NOUN
esrj-65185	114	9	founded	found	VERB
esrj-65185	114	10	four	four	NUM
esrj-65185	114	11	times	time	NOUN
esrj-65185	114	12	daily	daily	ADV
esrj-65185	114	13	in	in	ADP
esrj-65185	114	14	2014	2014	NUM
esrj-65185	114	15	.	.	PUNCT
esrj-65185	115	1	in	in	ADP
esrj-65185	115	2	the	the	DET
esrj-65185	115	3	analysis	analysis	NOUN
esrj-65185	115	4	of	of	ADP
esrj-65185	115	5	the	the	DET
esrj-65185	115	6	correlation	correlation	NOUN
esrj-65185	115	7	factor	factor	NOUN
esrj-65185	115	8	,	,	PUNCT
esrj-65185	115	9	the	the	DET
esrj-65185	115	10	same	same	ADJ
esrj-65185	115	11	observations	observation	NOUN
esrj-65185	115	12	were	be	AUX
esrj-65185	115	13	used	use	VERB
esrj-65185	115	14	as	as	ADP
esrj-65185	115	15	the	the	DET
esrj-65185	115	16	training	training	NOUN
esrj-65185	115	17	samples	sample	NOUN
esrj-65185	115	18	and	and	CCONJ
esrj-65185	115	19	104	104	NUM
esrj-65185	115	20	xiaoling	xiaoling	NOUN
esrj-65185	115	21	ye	ye	PROPN
esrj-65185	115	22	,	,	PUNCT
esrj-65185	115	23	xing	xing	PROPN
esrj-65185	115	24	yang	yang	PROPN
esrj-65185	115	25	,	,	PUNCT
esrj-65185	115	26	xiong	xiong	PROPN
esrj-65185	115	27	xiong	xiong	PROPN
esrj-65185	115	28	,	,	PUNCT
esrj-65185	115	29	shuai	shuai	PROPN
esrj-65185	115	30	yang	yang	PROPN
esrj-65185	115	31	and	and	CCONJ
esrj-65185	115	32	yang	yang	PROPN
esrj-65185	115	33	chen	chen	PROPN
esrj-65185	115	34	testing	testing	NOUN
esrj-65185	115	35	samples	sample	NOUN
esrj-65185	115	36	at	at	ADP
esrj-65185	115	37	different	different	ADJ
esrj-65185	115	38	correlation	correlation	NOUN
esrj-65185	115	39	factor	factor	NOUN
esrj-65185	115	40	thresholds	threshold	NOUN
esrj-65185	115	41	(	(	PUNCT
esrj-65185	115	42	>	>	X
esrj-65185	115	43	0	0	NUM
esrj-65185	115	44	,	,	PUNCT
esrj-65185	115	45	>	>	X
esrj-65185	115	46	0.5	0.5	NUM
esrj-65185	115	47	,	,	PUNCT
esrj-65185	115	48	>	>	X
esrj-65185	115	49	0.8	0.8	NUM
esrj-65185	115	50	,	,	PUNCT
esrj-65185	115	51	>	>	X
esrj-65185	115	52	0.9	0.9	NUM
esrj-65185	115	53	,	,	PUNCT
esrj-65185	115	54	>	>	NOUN
esrj-65185	115	55	0.95	0.95	NUM
esrj-65185	115	56	)	)	PUNCT
esrj-65185	115	57	.	.	PUNCT
esrj-65185	116	1	in	in	ADP
esrj-65185	116	2	the	the	DET
esrj-65185	116	3	analysis	analysis	NOUN
esrj-65185	116	4	of	of	ADP
esrj-65185	116	5	the	the	DET
esrj-65185	116	6	detection	detection	NOUN
esrj-65185	116	7	rates	rate	NOUN
esrj-65185	116	8	of	of	ADP
esrj-65185	116	9	the	the	DET
esrj-65185	116	10	pca	pca	NOUN
esrj-65185	116	11	-	-	PUNCT
esrj-65185	116	12	rf	rf	ADJ
esrj-65185	116	13	and	and	CCONJ
esrj-65185	116	14	srt	srt	NOUN
esrj-65185	116	15	methods	method	NOUN
esrj-65185	116	16	,	,	PUNCT
esrj-65185	116	17	the	the	DET
esrj-65185	116	18	evaluation	evaluation	NOUN
esrj-65185	116	19	indexes	index	NOUN
esrj-65185	116	20	(	(	PUNCT
esrj-65185	116	21	mae	mae	PROPN
esrj-65185	116	22	and	and	CCONJ
esrj-65185	116	23	rmse	rmse	NOUN
esrj-65185	116	24	)	)	PUNCT
esrj-65185	116	25	and	and	CCONJ
esrj-65185	116	26	two	two	NUM
esrj-65185	116	27	types	type	NOUN
esrj-65185	116	28	of	of	ADP
esrj-65185	116	29	error	error	NOUN
esrj-65185	116	30	(	(	PUNCT
esrj-65185	116	31	type	type	NOUN
esrj-65185	116	32	i	i	PRON
esrj-65185	116	33	and	and	CCONJ
esrj-65185	116	34	type	type	PROPN
esrj-65185	116	35	ii	ii	PROPN
esrj-65185	116	36	)	)	PUNCT
esrj-65185	116	37	were	be	AUX
esrj-65185	116	38	used	use	VERB
esrj-65185	116	39	to	to	PART
esrj-65185	116	40	compare	compare	VERB
esrj-65185	116	41	the	the	DET
esrj-65185	116	42	performances	performance	NOUN
esrj-65185	116	43	of	of	ADP
esrj-65185	116	44	pca	pca	NOUN
esrj-65185	116	45	-	-	PUNCT
esrj-65185	116	46	rf	rf	NOUN
esrj-65185	116	47	and	and	CCONJ
esrj-65185	116	48	srt	srt	NOUN
esrj-65185	116	49	,	,	PUNCT
esrj-65185	116	50	and	and	CCONJ
esrj-65185	116	51	observation	observation	NOUN
esrj-65185	116	52	selection	selection	NOUN
esrj-65185	116	53	was	be	AUX
esrj-65185	116	54	the	the	DET
esrj-65185	116	55	same	same	ADJ
esrj-65185	116	56	as	as	ADP
esrj-65185	116	57	that	that	PRON
esrj-65185	116	58	utilized	utilize	VERB
esrj-65185	116	59	in	in	ADP
esrj-65185	116	60	the	the	DET
esrj-65185	116	61	correlation	correlation	NOUN
esrj-65185	116	62	factor	factor	NOUN
esrj-65185	116	63	analysis	analysis	NOUN
esrj-65185	116	64	.	.	PUNCT
esrj-65185	117	1	observations	observation	NOUN
esrj-65185	117	2	over	over	ADP
esrj-65185	117	3	different	different	ADJ
esrj-65185	117	4	periods	period	NOUN
esrj-65185	117	5	were	be	AUX
esrj-65185	117	6	selected	select	VERB
esrj-65185	117	7	to	to	PART
esrj-65185	117	8	analyze	analyze	VERB
esrj-65185	117	9	the	the	DET
esrj-65185	117	10	sample	sample	NOUN
esrj-65185	117	11	dependence	dependence	NOUN
esrj-65185	117	12	based	base	VERB
esrj-65185	117	13	on	on	ADP
esrj-65185	117	14	rf	rf	NOUN
esrj-65185	117	15	and	and	CCONJ
esrj-65185	117	16	srt	srt	VERB
esrj-65185	117	17	,	,	PUNCT
esrj-65185	117	18	and	and	CCONJ
esrj-65185	117	19	the	the	DET
esrj-65185	117	20	results	result	NOUN
esrj-65185	117	21	are	be	AUX
esrj-65185	117	22	shown	show	VERB
esrj-65185	117	23	in	in	ADP
esrj-65185	117	24	figure	figure	NOUN
esrj-65185	117	25	2	2	NUM
esrj-65185	117	26	.	.	PUNCT
esrj-65185	118	1	in	in	ADP
esrj-65185	118	2	general	general	ADJ
esrj-65185	118	3	,	,	PUNCT
esrj-65185	118	4	as	as	SCONJ
esrj-65185	118	5	the	the	DET
esrj-65185	118	6	number	number	NOUN
esrj-65185	118	7	of	of	ADP
esrj-65185	118	8	training	training	NOUN
esrj-65185	118	9	samples	sample	NOUN
esrj-65185	118	10	increased	increase	VERB
esrj-65185	118	11	,	,	PUNCT
esrj-65185	118	12	the	the	DET
esrj-65185	118	13	error	error	NOUN
esrj-65185	118	14	in	in	ADP
esrj-65185	118	15	the	the	DET
esrj-65185	118	16	testing	testing	NOUN
esrj-65185	118	17	samples	sample	NOUN
esrj-65185	118	18	decreased	decrease	VERB
esrj-65185	118	19	.	.	PUNCT
esrj-65185	119	1	as	as	SCONJ
esrj-65185	119	2	shown	show	VERB
esrj-65185	119	3	in	in	ADP
esrj-65185	119	4	figure	figure	NOUN
esrj-65185	119	5	2	2	NUM
esrj-65185	119	6	,	,	PUNCT
esrj-65185	119	7	the	the	DET
esrj-65185	119	8	error	error	NOUN
esrj-65185	119	9	trends	trend	NOUN
esrj-65185	119	10	at	at	ADP
esrj-65185	119	11	15	15	NUM
esrj-65185	119	12	target	target	NOUN
esrj-65185	119	13	stations	station	NOUN
esrj-65185	119	14	exhibited	exhibit	VERB
esrj-65185	119	15	this	this	DET
esrj-65185	119	16	pattern	pattern	NOUN
esrj-65185	119	17	.	.	PUNCT
esrj-65185	120	1	regardless	regardless	ADV
esrj-65185	120	2	of	of	ADP
esrj-65185	120	3	the	the	DET
esrj-65185	120	4	observation	observation	NOUN
esrj-65185	120	5	period	period	NOUN
esrj-65185	120	6	(	(	PUNCT
esrj-65185	120	7	one	one	NUM
esrj-65185	120	8	year	year	NOUN
esrj-65185	120	9	,	,	PUNCT
esrj-65185	120	10	three	three	NUM
esrj-65185	120	11	years	year	NOUN
esrj-65185	120	12	,	,	PUNCT
esrj-65185	120	13	five	five	NUM
esrj-65185	120	14	years	year	NOUN
esrj-65185	120	15	,	,	PUNCT
esrj-65185	120	16	seven	seven	NUM
esrj-65185	120	17	years	year	NOUN
esrj-65185	120	18	or	or	CCONJ
esrj-65185	120	19	nine	nine	NUM
esrj-65185	120	20	years	year	NOUN
esrj-65185	120	21	)	)	PUNCT
esrj-65185	120	22	,	,	PUNCT
esrj-65185	120	23	the	the	DET
esrj-65185	120	24	mae	mae	PROPN
esrj-65185	120	25	and	and	CCONJ
esrj-65185	120	26	rmse	rmse	ADJ
esrj-65185	120	27	values	value	NOUN
esrj-65185	120	28	of	of	ADP
esrj-65185	120	29	the	the	DET
esrj-65185	120	30	rf	rf	NOUN
esrj-65185	120	31	method	method	NOUN
esrj-65185	120	32	are	be	AUX
esrj-65185	120	33	smaller	small	ADJ
esrj-65185	120	34	than	than	ADP
esrj-65185	120	35	those	those	PRON
esrj-65185	120	36	of	of	ADP
esrj-65185	120	37	the	the	DET
esrj-65185	120	38	srt	srt	NOUN
esrj-65185	120	39	method	method	NOUN
esrj-65185	120	40	,	,	PUNCT
esrj-65185	120	41	and	and	CCONJ
esrj-65185	120	42	the	the	DET
esrj-65185	120	43	fluctuations	fluctuation	NOUN
esrj-65185	120	44	in	in	ADP
esrj-65185	120	45	training	training	NOUN
esrj-65185	120	46	samples	sample	NOUN
esrj-65185	120	47	are	be	AUX
esrj-65185	120	48	smaller	small	ADJ
esrj-65185	120	49	.	.	PUNCT
esrj-65185	121	1	hence	hence	ADV
esrj-65185	121	2	,	,	PUNCT
esrj-65185	121	3	the	the	DET
esrj-65185	121	4	rf	rf	NOUN
esrj-65185	121	5	method	method	NOUN
esrj-65185	121	6	performed	perform	VERB
esrj-65185	121	7	better	well	ADV
esrj-65185	121	8	than	than	ADP
esrj-65185	121	9	srt	srt	NOUN
esrj-65185	121	10	method	method	NOUN
esrj-65185	121	11	based	base	VERB
esrj-65185	121	12	on	on	ADP
esrj-65185	121	13	the	the	DET
esrj-65185	121	14	sample	sample	NOUN
esrj-65185	121	15	dependence	dependence	NOUN
esrj-65185	121	16	.	.	PUNCT
esrj-65185	122	1	although	although	SCONJ
esrj-65185	122	2	the	the	DET
esrj-65185	122	3	error	error	NOUN
esrj-65185	122	4	associated	associate	VERB
esrj-65185	122	5	with	with	ADP
esrj-65185	122	6	the	the	DET
esrj-65185	122	7	training	training	NOUN
esrj-65185	122	8	samples	sample	NOUN
esrj-65185	122	9	for	for	ADP
esrj-65185	122	10	seven	seven	NUM
esrj-65185	122	11	years	year	NOUN
esrj-65185	122	12	of	of	ADP
esrj-65185	122	13	observations	observation	NOUN
esrj-65185	122	14	is	be	AUX
esrj-65185	122	15	less	less	ADJ
esrj-65185	122	16	than	than	ADP
esrj-65185	122	17	that	that	PRON
esrj-65185	122	18	associated	associate	VERB
esrj-65185	122	19	with	with	ADP
esrj-65185	122	20	the	the	DET
esrj-65185	122	21	training	training	NOUN
esrj-65185	122	22	samples	sample	NOUN
esrj-65185	122	23	for	for	ADP
esrj-65185	122	24	nine	nine	NUM
esrj-65185	122	25	years	year	NOUN
esrj-65185	122	26	of	of	ADP
esrj-65185	122	27	observations	observation	NOUN
esrj-65185	122	28	at	at	ADP
esrj-65185	122	29	target	target	NOUN
esrj-65185	122	30	station	station	NOUN
esrj-65185	122	31	57494	57494	NUM
esrj-65185	122	32	,	,	PUNCT
esrj-65185	122	33	the	the	DET
esrj-65185	122	34	training	training	NOUN
esrj-65185	122	35	samples	sample	NOUN
esrj-65185	122	36	based	base	VERB
esrj-65185	122	37	on	on	ADP
esrj-65185	122	38	nine	nine	NUM
esrj-65185	122	39	years	year	NOUN
esrj-65185	122	40	of	of	ADP
esrj-65185	122	41	observations	observation	NOUN
esrj-65185	122	42	exhibited	exhibit	VERB
esrj-65185	122	43	less	less	ADJ
esrj-65185	122	44	error	error	NOUN
esrj-65185	122	45	in	in	ADP
esrj-65185	122	46	general	general	NOUN
esrj-65185	122	47	.	.	PUNCT
esrj-65185	123	1	therefore	therefore	ADV
esrj-65185	123	2	,	,	PUNCT
esrj-65185	123	3	the	the	DET
esrj-65185	123	4	training	training	NOUN
esrj-65185	123	5	sample	sample	NOUN
esrj-65185	123	6	based	base	VERB
esrj-65185	123	7	on	on	ADP
esrj-65185	123	8	nine	nine	NUM
esrj-65185	123	9	years	year	NOUN
esrj-65185	123	10	of	of	ADP
esrj-65185	123	11	observations	observation	NOUN
esrj-65185	123	12	was	be	AUX
esrj-65185	123	13	used	use	VERB
esrj-65185	123	14	in	in	ADP
esrj-65185	123	15	the	the	DET
esrj-65185	123	16	following	follow	VERB
esrj-65185	123	17	analysis	analysis	NOUN
esrj-65185	123	18	.	.	PUNCT
esrj-65185	124	1	figure	figure	NOUN
esrj-65185	124	2	2	2	NUM
esrj-65185	124	3	.	.	PUNCT
esrj-65185	124	4	evaluation	evaluation	NOUN
esrj-65185	124	5	indexes	index	NOUN
esrj-65185	124	6	of	of	ADP
esrj-65185	124	7	the	the	DET
esrj-65185	124	8	rf	rf	ADJ
esrj-65185	124	9	and	and	CCONJ
esrj-65185	124	10	srt	srt	NOUN
esrj-65185	124	11	methods	method	NOUN
esrj-65185	124	12	over	over	ADP
esrj-65185	124	13	different	different	ADJ
esrj-65185	124	14	observation	observation	NOUN
esrj-65185	124	15	periods	period	NOUN
esrj-65185	124	16	.	.	PUNCT
esrj-65185	125	1	moreover	moreover	ADV
esrj-65185	125	2	,	,	PUNCT
esrj-65185	125	3	figure	figure	NOUN
esrj-65185	125	4	2	2	NUM
esrj-65185	125	5	shows	show	VERB
esrj-65185	125	6	that	that	SCONJ
esrj-65185	125	7	stations	station	NOUN
esrj-65185	125	8	54823	54823	NUM
esrj-65185	125	9	,	,	PUNCT
esrj-65185	125	10	56951	56951	NUM
esrj-65185	125	11	,	,	PUNCT
esrj-65185	125	12	57245	57245	NUM
esrj-65185	125	13	and	and	CCONJ
esrj-65185	125	14	58606	58606	NUM
esrj-65185	125	15	have	have	VERB
esrj-65185	125	16	relatively	relatively	ADV
esrj-65185	125	17	small	small	ADJ
esrj-65185	125	18	evaluation	evaluation	NOUN
esrj-65185	125	19	index	index	NOUN
esrj-65185	125	20	values	value	NOUN
esrj-65185	125	21	because	because	SCONJ
esrj-65185	125	22	the	the	DET
esrj-65185	125	23	neighboring	neighboring	NOUN
esrj-65185	125	24	stations	station	NOUN
esrj-65185	125	25	around	around	ADP
esrj-65185	125	26	these	these	DET
esrj-65185	125	27	target	target	NOUN
esrj-65185	125	28	stations	station	NOUN
esrj-65185	125	29	are	be	AUX
esrj-65185	125	30	relatively	relatively	ADV
esrj-65185	125	31	dense	dense	ADJ
esrj-65185	125	32	(	(	PUNCT
esrj-65185	125	33	you	you	PRON
esrj-65185	125	34	et	et	PROPN
esrj-65185	125	35	al	al	PROPN
esrj-65185	125	36	.	.	PROPN
esrj-65185	125	37	,	,	PUNCT
esrj-65185	125	38	2017	2017	NUM
esrj-65185	125	39	)	)	PUNCT
esrj-65185	125	40	.	.	PUNCT
esrj-65185	126	1	additionally	additionally	ADV
esrj-65185	126	2	,	,	PUNCT
esrj-65185	126	3	the	the	DET
esrj-65185	126	4	main	main	ADJ
esrj-65185	126	5	reason	reason	NOUN
esrj-65185	126	6	for	for	ADP
esrj-65185	126	7	the	the	DET
esrj-65185	126	8	performance	performance	NOUN
esrj-65185	126	9	difference	difference	NOUN
esrj-65185	126	10	between	between	ADP
esrj-65185	126	11	the	the	DET
esrj-65185	126	12	srt	srt	NOUN
esrj-65185	126	13	method	method	NOUN
esrj-65185	126	14	and	and	CCONJ
esrj-65185	126	15	rf	rf	NOUN
esrj-65185	126	16	method	method	NOUN
esrj-65185	126	17	is	be	AUX
esrj-65185	126	18	the	the	DET
esrj-65185	126	19	sparse	sparse	ADJ
esrj-65185	126	20	distribution	distribution	NOUN
esrj-65185	126	21	of	of	ADP
esrj-65185	126	22	neighboring	neighboring	NOUN
esrj-65185	126	23	stations	station	NOUN
esrj-65185	126	24	or	or	CCONJ
esrj-65185	126	25	low	low	ADJ
esrj-65185	126	26	spatial	spatial	ADJ
esrj-65185	126	27	correlation	correlation	NOUN
esrj-65185	126	28	between	between	ADP
esrj-65185	126	29	values	value	NOUN
esrj-65185	126	30	.	.	PUNCT
esrj-65185	127	1	the	the	DET
esrj-65185	127	2	rf	rf	NOUN
esrj-65185	127	3	method	method	NOUN
esrj-65185	127	4	has	have	VERB
esrj-65185	127	5	relatively	relatively	ADV
esrj-65185	127	6	less	less	ADJ
esrj-65185	127	7	error	error	NOUN
esrj-65185	127	8	at	at	ADP
esrj-65185	127	9	the	the	DET
esrj-65185	127	10	target	target	NOUN
esrj-65185	127	11	stations	station	NOUN
esrj-65185	127	12	compared	compare	VERB
esrj-65185	127	13	to	to	ADP
esrj-65185	127	14	the	the	DET
esrj-65185	127	15	large	large	ADJ
esrj-65185	127	16	error	error	NOUN
esrj-65185	127	17	of	of	ADP
esrj-65185	127	18	the	the	DET
esrj-65185	127	19	srt	srt	NOUN
esrj-65185	127	20	method	method	NOUN
esrj-65185	127	21	,	,	PUNCT
esrj-65185	127	22	such	such	ADJ
esrj-65185	127	23	as	as	ADP
esrj-65185	127	24	at	at	ADP
esrj-65185	127	25	stations	station	NOUN
esrj-65185	127	26	51477	51477	NUM
esrj-65185	127	27	,	,	PUNCT
esrj-65185	127	28	56684	56684	NUM
esrj-65185	127	29	and	and	CCONJ
esrj-65185	127	30	57245	57245	NUM
esrj-65185	127	31	.	.	PUNCT
esrj-65185	128	1	this	this	DET
esrj-65185	128	2	result	result	NOUN
esrj-65185	128	3	suggests	suggest	VERB
esrj-65185	128	4	that	that	SCONJ
esrj-65185	128	5	the	the	DET
esrj-65185	128	6	rf	rf	NOUN
esrj-65185	128	7	method	method	NOUN
esrj-65185	128	8	is	be	AUX
esrj-65185	128	9	superior	superior	ADJ
esrj-65185	128	10	to	to	ADP
esrj-65185	128	11	the	the	DET
esrj-65185	128	12	srt	srt	NOUN
esrj-65185	128	13	method	method	NOUN
esrj-65185	128	14	.	.	PUNCT
esrj-65185	129	1	to	to	PART
esrj-65185	129	2	investigate	investigate	VERB
esrj-65185	129	3	the	the	DET
esrj-65185	129	4	performance	performance	NOUN
esrj-65185	129	5	of	of	ADP
esrj-65185	129	6	the	the	DET
esrj-65185	129	7	pca	pca	NOUN
esrj-65185	129	8	-	-	PUNCT
esrj-65185	129	9	rf	rf	ADJ
esrj-65185	129	10	method	method	NOUN
esrj-65185	129	11	under	under	ADP
esrj-65185	129	12	different	different	ADJ
esrj-65185	129	13	thresholds	threshold	NOUN
esrj-65185	129	14	of	of	ADP
esrj-65185	129	15	the	the	DET
esrj-65185	129	16	correlation	correlation	NOUN
esrj-65185	129	17	factor	factor	NOUN
esrj-65185	129	18	,	,	PUNCT
esrj-65185	129	19	the	the	DET
esrj-65185	129	20	evaluation	evaluation	NOUN
esrj-65185	129	21	index	index	NOUN
esrj-65185	129	22	values	value	NOUN
esrj-65185	129	23	and	and	CCONJ
esrj-65185	129	24	run	run	VERB
esrj-65185	129	25	time	time	NOUN
esrj-65185	129	26	of	of	ADP
esrj-65185	129	27	the	the	DET
esrj-65185	129	28	model	model	NOUN
esrj-65185	129	29	obtained	obtain	VERB
esrj-65185	129	30	for	for	ADP
esrj-65185	129	31	seven	seven	NUM
esrj-65185	129	32	cases	case	NOUN
esrj-65185	129	33	(	(	PUNCT
esrj-65185	129	34	no	no	INTJ
esrj-65185	129	35	,	,	PUNCT
esrj-65185	129	36	>	>	NOUN
esrj-65185	129	37	0	0	NUM
esrj-65185	129	38	,	,	PUNCT
esrj-65185	129	39	>	>	X
esrj-65185	129	40	0.5	0.5	NUM
esrj-65185	129	41	,	,	PUNCT
esrj-65185	129	42	>	>	X
esrj-65185	129	43	0.8	0.8	NUM
esrj-65185	129	44	,	,	PUNCT
esrj-65185	129	45	0.9	0.9	NUM
esrj-65185	129	46	,	,	PUNCT
esrj-65185	129	47	0.95	0.95	NUM
esrj-65185	129	48	,	,	PUNCT
esrj-65185	129	49	alone	alone	ADV
esrj-65185	129	50	)	)	PUNCT
esrj-65185	129	51	are	be	AUX
esrj-65185	129	52	shown	show	VERB
esrj-65185	129	53	in	in	ADP
esrj-65185	129	54	figure	figure	NOUN
esrj-65185	129	55	3	3	NUM
esrj-65185	129	56	,	,	PUNCT
esrj-65185	129	57	where	where	SCONJ
esrj-65185	129	58	“	"	PUNCT
esrj-65185	129	59	no	no	PRON
esrj-65185	129	60	”	"	PUNCT
esrj-65185	129	61	means	mean	VERB
esrj-65185	129	62	that	that	SCONJ
esrj-65185	129	63	the	the	DET
esrj-65185	129	64	rf	rf	NOUN
esrj-65185	129	65	model	model	NOUN
esrj-65185	129	66	does	do	AUX
esrj-65185	129	67	not	not	PART
esrj-65185	129	68	perform	perform	VERB
esrj-65185	129	69	pca	pca	NOUN
esrj-65185	129	70	and	and	CCONJ
esrj-65185	129	71	“	"	PUNCT
esrj-65185	129	72	alone	alone	ADV
esrj-65185	129	73	”	"	PUNCT
esrj-65185	129	74	means	mean	VERB
esrj-65185	129	75	that	that	SCONJ
esrj-65185	129	76	modeling	modeling	NOUN
esrj-65185	129	77	is	be	AUX
esrj-65185	129	78	only	only	ADV
esrj-65185	129	79	based	base	VERB
esrj-65185	129	80	on	on	ADP
esrj-65185	129	81	temperature	temperature	NOUN
esrj-65185	129	82	observations	observation	NOUN
esrj-65185	129	83	at	at	ADP
esrj-65185	129	84	neighboring	neighboring	NOUN
esrj-65185	129	85	stations	station	NOUN
esrj-65185	129	86	.	.	PUNCT
esrj-65185	130	1	additionally	additionally	ADV
esrj-65185	130	2	,	,	PUNCT
esrj-65185	130	3	the	the	DET
esrj-65185	130	4	unit	unit	NOUN
esrj-65185	130	5	of	of	ADP
esrj-65185	130	6	“	"	PUNCT
esrj-65185	130	7	time	time	NOUN
esrj-65185	130	8	”	"	PUNCT
esrj-65185	130	9	(	(	PUNCT
esrj-65185	130	10	run	run	VERB
esrj-65185	130	11	time	time	NOUN
esrj-65185	130	12	of	of	ADP
esrj-65185	130	13	the	the	DET
esrj-65185	130	14	model	model	NOUN
esrj-65185	130	15	)	)	PUNCT
esrj-65185	130	16	is	be	AUX
esrj-65185	130	17	100	100	NUM
esrj-65185	130	18	seconds	second	NOUN
esrj-65185	130	19	.	.	PUNCT
esrj-65185	131	1	figure	figure	NOUN
esrj-65185	131	2	3	3	NUM
esrj-65185	131	3	shows	show	VERB
esrj-65185	131	4	that	that	SCONJ
esrj-65185	131	5	the	the	DET
esrj-65185	131	6	evaluation	evaluation	NOUN
esrj-65185	131	7	index	index	NOUN
esrj-65185	131	8	(	(	PUNCT
esrj-65185	131	9	mae	mae	PROPN
esrj-65185	131	10	and	and	CCONJ
esrj-65185	131	11	rmse	rmse	ADJ
esrj-65185	131	12	)	)	PUNCT
esrj-65185	131	13	values	value	NOUN
esrj-65185	131	14	increased	increase	VERB
esrj-65185	131	15	slightly	slightly	ADV
esrj-65185	131	16	as	as	SCONJ
esrj-65185	131	17	the	the	DET
esrj-65185	131	18	correlation	correlation	NOUN
esrj-65185	131	19	factor	factor	NOUN
esrj-65185	131	20	threshold	threshold	NOUN
esrj-65185	131	21	increased	increase	VERB
esrj-65185	131	22	.	.	PUNCT
esrj-65185	132	1	moreover	moreover	ADV
esrj-65185	132	2	,	,	PUNCT
esrj-65185	132	3	the	the	DET
esrj-65185	132	4	run	run	ADJ
esrj-65185	132	5	time	time	NOUN
esrj-65185	132	6	of	of	ADP
esrj-65185	132	7	the	the	DET
esrj-65185	132	8	model	model	NOUN
esrj-65185	132	9	decreased	decrease	VERB
esrj-65185	132	10	as	as	SCONJ
esrj-65185	132	11	the	the	DET
esrj-65185	132	12	correlation	correlation	NOUN
esrj-65185	132	13	factor	factor	NOUN
esrj-65185	132	14	threshold	threshold	NOUN
esrj-65185	132	15	increased	increase	VERB
esrj-65185	132	16	.	.	PUNCT
esrj-65185	133	1	the	the	DET
esrj-65185	133	2	results	result	NOUN
esrj-65185	133	3	show	show	VERB
esrj-65185	133	4	that	that	SCONJ
esrj-65185	133	5	the	the	DET
esrj-65185	133	6	choice	choice	NOUN
esrj-65185	133	7	of	of	ADP
esrj-65185	133	8	correlation	correlation	NOUN
esrj-65185	133	9	factor	factor	NOUN
esrj-65185	133	10	determines	determine	VERB
esrj-65185	133	11	the	the	DET
esrj-65185	133	12	run	run	ADJ
esrj-65185	133	13	time	time	NOUN
esrj-65185	133	14	of	of	ADP
esrj-65185	133	15	model	model	NOUN
esrj-65185	133	16	and	and	CCONJ
esrj-65185	133	17	affects	affect	VERB
esrj-65185	133	18	the	the	DET
esrj-65185	133	19	size	size	NOUN
esrj-65185	133	20	of	of	ADP
esrj-65185	133	21	the	the	DET
esrj-65185	133	22	type	type	NOUN
esrj-65185	133	23	error	error	NOUN
esrj-65185	133	24	.	.	PUNCT
esrj-65185	134	1	a	a	DET
esrj-65185	134	2	correlation	correlation	NOUN
esrj-65185	134	3	factor	factor	NOUN
esrj-65185	134	4	threshold	threshold	NOUN
esrj-65185	134	5	of	of	ADP
esrj-65185	134	6	0.5	0.5	NUM
esrj-65185	134	7	was	be	AUX
esrj-65185	134	8	chosen	choose	VERB
esrj-65185	134	9	as	as	ADP
esrj-65185	134	10	the	the	DET
esrj-65185	134	11	optimal	optimal	ADJ
esrj-65185	134	12	value	value	NOUN
esrj-65185	134	13	to	to	PART
esrj-65185	134	14	construct	construct	VERB
esrj-65185	134	15	the	the	DET
esrj-65185	134	16	qc	qc	PROPN
esrj-65185	134	17	model	model	PROPN
esrj-65185	134	18	.	.	PUNCT
esrj-65185	135	1	compared	compare	VERB
esrj-65185	135	2	to	to	ADP
esrj-65185	135	3	the	the	DET
esrj-65185	135	4	other	other	ADJ
esrj-65185	135	5	correlation	correlation	NOUN
esrj-65185	135	6	factor	factor	NOUN
esrj-65185	135	7	thresholds	threshold	NOUN
esrj-65185	135	8	,	,	PUNCT
esrj-65185	135	9	the	the	DET
esrj-65185	135	10	correlation	correlation	NOUN
esrj-65185	135	11	factor	factor	NOUN
esrj-65185	135	12	threshold	threshold	NOUN
esrj-65185	135	13	of	of	ADP
esrj-65185	135	14	0.5	0.5	NUM
esrj-65185	135	15	produced	produce	VERB
esrj-65185	135	16	the	the	DET
esrj-65185	135	17	shortest	short	ADJ
esrj-65185	135	18	run	run	ADJ
esrj-65185	135	19	time	time	NOUN
esrj-65185	135	20	of	of	ADP
esrj-65185	135	21	the	the	DET
esrj-65185	135	22	model	model	NOUN
esrj-65185	135	23	,	,	PUNCT
esrj-65185	135	24	and	and	CCONJ
esrj-65185	135	25	the	the	DET
esrj-65185	135	26	model	model	NOUN
esrj-65185	135	27	error	error	NOUN
esrj-65185	135	28	is	be	AUX
esrj-65185	135	29	relatively	relatively	ADV
esrj-65185	135	30	small	small	ADJ
esrj-65185	135	31	.	.	PUNCT
esrj-65185	136	1	on	on	ADP
esrj-65185	136	2	the	the	DET
esrj-65185	136	3	one	one	NUM
esrj-65185	136	4	hand	hand	NOUN
esrj-65185	136	5	,	,	PUNCT
esrj-65185	136	6	although	although	SCONJ
esrj-65185	136	7	the	the	DET
esrj-65185	136	8	model	model	NOUN
esrj-65185	136	9	error	error	NOUN
esrj-65185	136	10	is	be	AUX
esrj-65185	136	11	reduced	reduce	VERB
esrj-65185	136	12	without	without	ADP
esrj-65185	136	13	pca	pca	PROPN
esrj-65185	136	14	,	,	PUNCT
esrj-65185	136	15	the	the	DET
esrj-65185	136	16	run	run	ADJ
esrj-65185	136	17	time	time	NOUN
esrj-65185	136	18	of	of	ADP
esrj-65185	136	19	the	the	DET
esrj-65185	136	20	model	model	NOUN
esrj-65185	136	21	increases	increase	VERB
esrj-65185	136	22	considerably	considerably	ADV
esrj-65185	136	23	,	,	PUNCT
esrj-65185	136	24	as	as	SCONJ
esrj-65185	136	25	pca	pca	PROPN
esrj-65185	136	26	effectively	effectively	ADV
esrj-65185	136	27	reduces	reduce	VERB
esrj-65185	136	28	the	the	DET
esrj-65185	136	29	run	run	ADJ
esrj-65185	136	30	time	time	NOUN
esrj-65185	136	31	of	of	ADP
esrj-65185	136	32	the	the	DET
esrj-65185	136	33	model	model	NOUN
esrj-65185	136	34	.	.	PUNCT
esrj-65185	137	1	on	on	ADP
esrj-65185	137	2	the	the	DET
esrj-65185	137	3	other	other	ADJ
esrj-65185	137	4	hand	hand	NOUN
esrj-65185	137	5	,	,	PUNCT
esrj-65185	137	6	although	although	SCONJ
esrj-65185	137	7	the	the	DET
esrj-65185	137	8	run	run	NOUN
esrj-65185	137	9	time	time	NOUN
esrj-65185	137	10	of	of	ADP
esrj-65185	137	11	the	the	DET
esrj-65185	137	12	quality	quality	NOUN
esrj-65185	137	13	control	control	NOUN
esrj-65185	137	14	model	model	NOUN
esrj-65185	137	15	with	with	ADP
esrj-65185	137	16	only	only	ADJ
esrj-65185	137	17	temperature	temperature	NOUN
esrj-65185	137	18	elements	element	NOUN
esrj-65185	137	19	is	be	AUX
esrj-65185	137	20	short	short	ADJ
esrj-65185	137	21	,	,	PUNCT
esrj-65185	137	22	the	the	DET
esrj-65185	137	23	error	error	NOUN
esrj-65185	137	24	is	be	AUX
esrj-65185	137	25	larger	large	ADJ
esrj-65185	137	26	than	than	ADP
esrj-65185	137	27	the	the	DET
esrj-65185	137	28	error	error	NOUN
esrj-65185	137	29	when	when	SCONJ
esrj-65185	137	30	six	six	NUM
esrj-65185	137	31	elements	element	NOUN
esrj-65185	137	32	are	be	AUX
esrj-65185	137	33	considered	consider	VERB
esrj-65185	137	34	in	in	ADP
esrj-65185	137	35	the	the	DET
esrj-65185	137	36	spatial	spatial	PROPN
esrj-65185	137	37	qc	qc	PROPN
esrj-65185	137	38	model	model	PROPN
esrj-65185	137	39	.	.	PUNCT
esrj-65185	138	1	in	in	ADP
esrj-65185	138	2	summary	summary	NOUN
esrj-65185	138	3	,	,	PUNCT
esrj-65185	138	4	the	the	DET
esrj-65185	138	5	accuracy	accuracy	NOUN
esrj-65185	138	6	and	and	CCONJ
esrj-65185	138	7	run	run	VERB
esrj-65185	138	8	time	time	NOUN
esrj-65185	138	9	of	of	ADP
esrj-65185	138	10	the	the	DET
esrj-65185	138	11	qc	qc	PROPN
esrj-65185	138	12	model	model	NOUN
esrj-65185	138	13	can	can	AUX
esrj-65185	138	14	be	be	AUX
esrj-65185	138	15	improved	improve	VERB
esrj-65185	138	16	by	by	ADP
esrj-65185	138	17	choosing	choose	VERB
esrj-65185	138	18	a	a	DET
esrj-65185	138	19	correlation	correlation	NOUN
esrj-65185	138	20	factor	factor	NOUN
esrj-65185	138	21	threshold	threshold	NOUN
esrj-65185	138	22	of	of	ADP
esrj-65185	138	23	0.5	0.5	NUM
esrj-65185	138	24	.	.	PUNCT
esrj-65185	139	1	thus	thus	ADV
esrj-65185	139	2	,	,	PUNCT
esrj-65185	139	3	the	the	DET
esrj-65185	139	4	rf	rf	NOUN
esrj-65185	139	5	model	model	NOUN
esrj-65185	139	6	performed	perform	VERB
esrj-65185	139	7	better	well	ADV
esrj-65185	139	8	than	than	ADP
esrj-65185	139	9	the	the	DET
esrj-65185	139	10	srt	srt	NOUN
esrj-65185	139	11	approach	approach	NOUN
esrj-65185	139	12	based	base	VERB
esrj-65185	139	13	on	on	ADP
esrj-65185	139	14	the	the	DET
esrj-65185	139	15	evaluation	evaluation	NOUN
esrj-65185	139	16	indexes	index	NOUN
esrj-65185	139	17	and	and	CCONJ
esrj-65185	139	18	error	error	NOUN
esrj-65185	139	19	detection	detection	NOUN
esrj-65185	139	20	rate	rate	NOUN
esrj-65185	139	21	analysis	analysis	NOUN
esrj-65185	139	22	.	.	PUNCT
esrj-65185	140	1	105spatial	105spatial	ADJ
esrj-65185	140	2	quality	quality	NOUN
esrj-65185	140	3	control	control	NOUN
esrj-65185	140	4	method	method	NOUN
esrj-65185	140	5	for	for	ADP
esrj-65185	140	6	surface	surface	NOUN
esrj-65185	140	7	temperature	temperature	NOUN
esrj-65185	140	8	observations	observation	NOUN
esrj-65185	140	9	based	base	VERB
esrj-65185	140	10	on	on	ADP
esrj-65185	140	11	multiple	multiple	ADJ
esrj-65185	140	12	elements	element	NOUN
esrj-65185	140	13	105	105	NUM
esrj-65185	140	14	figure	figure	NOUN
esrj-65185	140	15	3	3	NUM
esrj-65185	140	16	.	.	PUNCT
esrj-65185	140	17	evaluation	evaluation	NOUN
esrj-65185	140	18	indexes	index	NOUN
esrj-65185	140	19	and	and	CCONJ
esrj-65185	140	20	run	run	VERB
esrj-65185	140	21	time	time	NOUN
esrj-65185	140	22	of	of	ADP
esrj-65185	140	23	the	the	DET
esrj-65185	140	24	model	model	NOUN
esrj-65185	140	25	for	for	ADP
esrj-65185	140	26	the	the	DET
esrj-65185	140	27	15	15	NUM
esrj-65185	140	28	target	target	NOUN
esrj-65185	140	29	stations	station	NOUN
esrj-65185	140	30	under	under	ADP
esrj-65185	140	31	different	different	ADJ
esrj-65185	140	32	thresholds	threshold	NOUN
esrj-65185	140	33	of	of	ADP
esrj-65185	140	34	the	the	DET
esrj-65185	140	35	correlation	correlation	NOUN
esrj-65185	140	36	factor	factor	NOUN
esrj-65185	140	37	.	.	PUNCT
esrj-65185	141	1	the	the	DET
esrj-65185	141	2	error	error	NOUN
esrj-65185	141	3	detection	detection	NOUN
esrj-65185	141	4	rate	rate	NOUN
esrj-65185	141	5	is	be	AUX
esrj-65185	141	6	the	the	DET
esrj-65185	141	7	ultimate	ultimate	ADJ
esrj-65185	141	8	criteria	criterion	NOUN
esrj-65185	141	9	for	for	ADP
esrj-65185	141	10	a	a	DET
esrj-65185	141	11	qc	qc	PROPN
esrj-65185	141	12	model	model	NOUN
esrj-65185	141	13	.	.	PUNCT
esrj-65185	142	1	the	the	DET
esrj-65185	142	2	error	error	NOUN
esrj-65185	142	3	detection	detection	NOUN
esrj-65185	142	4	rate	rate	NOUN
esrj-65185	142	5	is	be	AUX
esrj-65185	142	6	related	relate	VERB
esrj-65185	142	7	to	to	ADP
esrj-65185	142	8	the	the	DET
esrj-65185	142	9	size	size	NOUN
esrj-65185	142	10	of	of	ADP
esrj-65185	142	11	the	the	DET
esrj-65185	142	12	qc	qc	PROPN
esrj-65185	142	13	parameter	parameter	NOUN
esrj-65185	142	14	,	,	PUNCT
esrj-65185	142	15	and	and	CCONJ
esrj-65185	142	16	the	the	DET
esrj-65185	142	17	choice	choice	NOUN
esrj-65185	142	18	of	of	ADP
esrj-65185	142	19	qc	qc	PROPN
esrj-65185	142	20	parameter	parameter	PROPN
esrj-65185	142	21	is	be	AUX
esrj-65185	142	22	related	relate	VERB
esrj-65185	142	23	to	to	ADP
esrj-65185	142	24	the	the	DET
esrj-65185	142	25	two	two	NUM
esrj-65185	142	26	types	type	NOUN
esrj-65185	142	27	of	of	ADP
esrj-65185	142	28	error	error	NOUN
esrj-65185	142	29	.	.	PUNCT
esrj-65185	143	1	in	in	ADP
esrj-65185	143	2	type	type	NOUN
esrj-65185	143	3	i	i	PRON
esrj-65185	143	4	error	error	NOUN
esrj-65185	143	5	,	,	PUNCT
esrj-65185	143	6	the	the	DET
esrj-65185	143	7	real	real	ADJ
esrj-65185	143	8	value	value	NOUN
esrj-65185	143	9	is	be	AUX
esrj-65185	143	10	treated	treat	VERB
esrj-65185	143	11	as	as	ADP
esrj-65185	143	12	an	an	DET
esrj-65185	143	13	incorrect	incorrect	ADJ
esrj-65185	143	14	value	value	NOUN
esrj-65185	143	15	.	.	PUNCT
esrj-65185	144	1	in	in	ADP
esrj-65185	144	2	type	type	NOUN
esrj-65185	144	3	ii	ii	NOUN
esrj-65185	144	4	error	error	NOUN
esrj-65185	144	5	,	,	PUNCT
esrj-65185	144	6	an	an	DET
esrj-65185	144	7	incorrect	incorrect	ADJ
esrj-65185	144	8	value	value	NOUN
esrj-65185	144	9	is	be	AUX
esrj-65185	144	10	treated	treat	VERB
esrj-65185	144	11	as	as	ADP
esrj-65185	144	12	the	the	DET
esrj-65185	144	13	true	true	ADJ
esrj-65185	144	14	value	value	NOUN
esrj-65185	144	15	.	.	PUNCT
esrj-65185	145	1	in	in	ADP
esrj-65185	145	2	the	the	DET
esrj-65185	145	3	realm	realm	NOUN
esrj-65185	145	4	of	of	ADP
esrj-65185	145	5	qc	qc	PROPN
esrj-65185	145	6	,	,	PUNCT
esrj-65185	145	7	the	the	DET
esrj-65185	145	8	intersection	intersection	NOUN
esrj-65185	145	9	of	of	ADP
esrj-65185	145	10	the	the	DET
esrj-65185	145	11	two	two	NUM
esrj-65185	145	12	types	type	NOUN
esrj-65185	145	13	of	of	ADP
esrj-65185	145	14	error	error	NOUN
esrj-65185	145	15	is	be	AUX
esrj-65185	145	16	chosen	choose	VERB
esrj-65185	145	17	as	as	ADP
esrj-65185	145	18	the	the	DET
esrj-65185	145	19	optimal	optimal	ADJ
esrj-65185	145	20	qc	qc	PROPN
esrj-65185	145	21	parameter	parameter	NOUN
esrj-65185	145	22	.	.	PUNCT
esrj-65185	146	1	the	the	DET
esrj-65185	146	2	optimal	optimal	ADJ
esrj-65185	146	3	qc	qc	PROPN
esrj-65185	146	4	parameters	parameter	NOUN
esrj-65185	146	5	for	for	ADP
esrj-65185	146	6	the	the	DET
esrj-65185	146	7	pca	pca	NOUN
esrj-65185	146	8	-	-	PUNCT
esrj-65185	146	9	rf	rf	ADJ
esrj-65185	146	10	and	and	CCONJ
esrj-65185	146	11	srt	srt	NOUN
esrj-65185	146	12	methods	method	NOUN
esrj-65185	146	13	obtained	obtain	VERB
esrj-65185	146	14	based	base	VERB
esrj-65185	146	15	on	on	ADP
esrj-65185	146	16	the	the	DET
esrj-65185	146	17	intersection	intersection	NOUN
esrj-65185	146	18	of	of	ADP
esrj-65185	146	19	the	the	DET
esrj-65185	146	20	two	two	NUM
esrj-65185	146	21	types	type	NOUN
esrj-65185	146	22	of	of	ADP
esrj-65185	146	23	error	error	NOUN
esrj-65185	146	24	are	be	AUX
esrj-65185	146	25	listed	list	VERB
esrj-65185	146	26	in	in	ADP
esrj-65185	146	27	table	table	NOUN
esrj-65185	146	28	2	2	NUM
esrj-65185	146	29	,	,	PUNCT
esrj-65185	146	30	in	in	ADP
esrj-65185	146	31	which	which	PRON
esrj-65185	146	32	the	the	DET
esrj-65185	146	33	15	15	NUM
esrj-65185	146	34	target	target	NOUN
esrj-65185	146	35	stations	station	NOUN
esrj-65185	146	36	are	be	AUX
esrj-65185	146	37	numbered	number	VERB
esrj-65185	146	38	1	1	NUM
esrj-65185	146	39	to	to	ADP
esrj-65185	146	40	15	15	NUM
esrj-65185	146	41	according	accord	VERB
esrj-65185	146	42	to	to	ADP
esrj-65185	146	43	the	the	DET
esrj-65185	146	44	order	order	NOUN
esrj-65185	146	45	of	of	ADP
esrj-65185	146	46	their	their	PRON
esrj-65185	146	47	previous	previous	ADJ
esrj-65185	146	48	names	name	NOUN
esrj-65185	146	49	.	.	PUNCT
esrj-65185	147	1	the	the	DET
esrj-65185	147	2	corresponding	correspond	VERB
esrj-65185	147	3	error	error	NOUN
esrj-65185	147	4	detection	detection	NOUN
esrj-65185	147	5	rate	rate	NOUN
esrj-65185	147	6	is	be	AUX
esrj-65185	147	7	shown	show	VERB
esrj-65185	147	8	in	in	ADP
esrj-65185	147	9	figure	figure	NOUN
esrj-65185	147	10	4	4	NUM
esrj-65185	147	11	.	.	PUNCT
esrj-65185	147	12	table	table	NOUN
esrj-65185	147	13	2	2	NUM
esrj-65185	147	14	and	and	CCONJ
esrj-65185	147	15	figure	figure	VERB
esrj-65185	147	16	4	4	NUM
esrj-65185	147	17	illustrate	illustrate	VERB
esrj-65185	147	18	that	that	SCONJ
esrj-65185	147	19	the	the	DET
esrj-65185	147	20	error	error	NOUN
esrj-65185	147	21	detection	detection	NOUN
esrj-65185	147	22	rate	rate	NOUN
esrj-65185	147	23	of	of	ADP
esrj-65185	147	24	the	the	DET
esrj-65185	147	25	pca	pca	NOUN
esrj-65185	147	26	-	-	PUNCT
esrj-65185	147	27	rf	rf	ADJ
esrj-65185	147	28	method	method	NOUN
esrj-65185	147	29	is	be	AUX
esrj-65185	147	30	superior	superior	ADJ
esrj-65185	147	31	to	to	ADP
esrj-65185	147	32	the	the	DET
esrj-65185	147	33	error	error	NOUN
esrj-65185	147	34	detection	detection	NOUN
esrj-65185	147	35	rate	rate	NOUN
esrj-65185	147	36	of	of	ADP
esrj-65185	147	37	the	the	DET
esrj-65185	147	38	srt	srt	NOUN
esrj-65185	147	39	method	method	NOUN
esrj-65185	147	40	.	.	PUNCT
esrj-65185	148	1	thus	thus	ADV
esrj-65185	148	2	,	,	PUNCT
esrj-65185	148	3	the	the	DET
esrj-65185	148	4	pca	pca	NOUN
esrj-65185	148	5	-	-	PUNCT
esrj-65185	148	6	rf	rf	ADJ
esrj-65185	148	7	method	method	NOUN
esrj-65185	148	8	is	be	AUX
esrj-65185	148	9	more	more	ADV
esrj-65185	148	10	stable	stable	ADJ
esrj-65185	148	11	and	and	CCONJ
esrj-65185	148	12	efficient	efficient	ADJ
esrj-65185	148	13	based	base	VERB
esrj-65185	148	14	on	on	ADP
esrj-65185	148	15	the	the	DET
esrj-65185	148	16	target	target	NOUN
esrj-65185	148	17	stations	station	NOUN
esrj-65185	148	18	with	with	ADP
esrj-65185	148	19	different	different	ADJ
esrj-65185	148	20	terrain	terrain	NOUN
esrj-65185	148	21	and	and	CCONJ
esrj-65185	148	22	climate	climate	NOUN
esrj-65185	148	23	characteristics	characteristic	NOUN
esrj-65185	148	24	.	.	PUNCT
esrj-65185	149	1	106	106	NUM
esrj-65185	149	2	xiaoling	xiaoling	NOUN
esrj-65185	149	3	ye	ye	PROPN
esrj-65185	149	4	,	,	PUNCT
esrj-65185	149	5	xing	xing	PROPN
esrj-65185	149	6	yang	yang	PROPN
esrj-65185	149	7	,	,	PUNCT
esrj-65185	149	8	xiong	xiong	PROPN
esrj-65185	149	9	xiong	xiong	PROPN
esrj-65185	149	10	,	,	PUNCT
esrj-65185	149	11	shuai	shuai	PROPN
esrj-65185	149	12	yang	yang	PROPN
esrj-65185	149	13	and	and	CCONJ
esrj-65185	149	14	yang	yang	PROPN
esrj-65185	149	15	chen	chen	PROPN
esrj-65185	149	16	table	table	PROPN
esrj-65185	149	17	2	2	NUM
esrj-65185	149	18	.	.	PUNCT
esrj-65185	150	1	the	the	DET
esrj-65185	150	2	optimal	optimal	ADJ
esrj-65185	150	3	quality	quality	NOUN
esrj-65185	150	4	control	control	NOUN
esrj-65185	150	5	parameters	parameter	NOUN
esrj-65185	150	6	of	of	ADP
esrj-65185	150	7	the	the	DET
esrj-65185	150	8	pca	pca	NOUN
esrj-65185	150	9	-	-	PUNCT
esrj-65185	150	10	rf	rf	ADJ
esrj-65185	150	11	and	and	CCONJ
esrj-65185	150	12	srt	srt	NOUN
esrj-65185	150	13	methods	method	NOUN
esrj-65185	150	14	.	.	PUNCT
esrj-65185	151	1	figure	figure	VERB
esrj-65185	151	2	4	4	NUM
esrj-65185	151	3	.	.	PUNCT
esrj-65185	152	1	the	the	DET
esrj-65185	152	2	detection	detection	NOUN
esrj-65185	152	3	rates	rate	NOUN
esrj-65185	152	4	of	of	ADP
esrj-65185	152	5	the	the	DET
esrj-65185	152	6	pca	pca	NOUN
esrj-65185	152	7	-	-	PUNCT
esrj-65185	152	8	rf	rf	ADJ
esrj-65185	152	9	and	and	CCONJ
esrj-65185	152	10	srt	srt	NOUN
esrj-65185	152	11	methods	method	NOUN
esrj-65185	152	12	at	at	ADP
esrj-65185	152	13	15	15	NUM
esrj-65185	152	14	target	target	NOUN
esrj-65185	152	15	stations	station	NOUN
esrj-65185	152	16	.	.	PUNCT
esrj-65185	153	1	5	5	X
esrj-65185	153	2	.	.	X
esrj-65185	153	3	conclusions	conclusion	NOUN
esrj-65185	153	4	this	this	DET
esrj-65185	153	5	paper	paper	NOUN
esrj-65185	153	6	studies	study	NOUN
esrj-65185	153	7	a	a	DET
esrj-65185	153	8	spatial	spatial	ADJ
esrj-65185	153	9	qc	qc	PROPN
esrj-65185	153	10	model	model	NOUN
esrj-65185	153	11	of	of	ADP
esrj-65185	153	12	six	six	NUM
esrj-65185	153	13	meteorological	meteorological	ADJ
esrj-65185	153	14	elements	element	NOUN
esrj-65185	153	15	and	and	CCONJ
esrj-65185	153	16	temperature	temperature	NOUN
esrj-65185	153	17	observations	observation	NOUN
esrj-65185	153	18	using	use	VERB
esrj-65185	153	19	the	the	DET
esrj-65185	153	20	pca	pca	NOUN
esrj-65185	153	21	-	-	PUNCT
esrj-65185	153	22	rf	rf	NOUN
esrj-65185	153	23	model	model	NOUN
esrj-65185	153	24	,	,	PUNCT
esrj-65185	153	25	and	and	CCONJ
esrj-65185	153	26	the	the	DET
esrj-65185	153	27	results	result	NOUN
esrj-65185	153	28	are	be	AUX
esrj-65185	153	29	compared	compare	VERB
esrj-65185	153	30	to	to	ADP
esrj-65185	153	31	those	those	PRON
esrj-65185	153	32	of	of	ADP
esrj-65185	153	33	the	the	DET
esrj-65185	153	34	srt	srt	NOUN
esrj-65185	153	35	method	method	NOUN
esrj-65185	153	36	.	.	PUNCT
esrj-65185	154	1	the	the	DET
esrj-65185	154	2	performance	performance	NOUN
esrj-65185	154	3	of	of	ADP
esrj-65185	154	4	qc	qc	PROPN
esrj-65185	154	5	has	have	VERB
esrj-65185	154	6	a	a	DET
esrj-65185	154	7	considerable	considerable	ADJ
esrj-65185	154	8	effect	effect	NOUN
esrj-65185	154	9	on	on	ADP
esrj-65185	154	10	the	the	DET
esrj-65185	154	11	selection	selection	NOUN
esrj-65185	154	12	of	of	ADP
esrj-65185	154	13	the	the	DET
esrj-65185	154	14	correlation	correlation	NOUN
esrj-65185	154	15	factor	factor	NOUN
esrj-65185	154	16	threshold	threshold	NOUN
esrj-65185	154	17	and	and	CCONJ
esrj-65185	154	18	the	the	DET
esrj-65185	154	19	density	density	NOUN
esrj-65185	154	20	of	of	ADP
esrj-65185	154	21	neighboring	neighboring	NOUN
esrj-65185	154	22	stations	station	NOUN
esrj-65185	154	23	around	around	ADP
esrj-65185	154	24	the	the	DET
esrj-65185	154	25	target	target	NOUN
esrj-65185	154	26	station	station	NOUN
esrj-65185	154	27	.	.	PUNCT
esrj-65185	155	1	the	the	DET
esrj-65185	155	2	simulation	simulation	NOUN
esrj-65185	155	3	results	result	NOUN
esrj-65185	155	4	show	show	VERB
esrj-65185	155	5	that	that	SCONJ
esrj-65185	155	6	the	the	DET
esrj-65185	155	7	pca	pca	PROPN
esrj-65185	155	8	-	-	PUNCT
esrj-65185	155	9	rf	rf	ADJ
esrj-65185	155	10	method	method	NOUN
esrj-65185	155	11	is	be	AUX
esrj-65185	155	12	less	less	ADV
esrj-65185	155	13	dependent	dependent	ADJ
esrj-65185	155	14	on	on	ADP
esrj-65185	155	15	training	training	NOUN
esrj-65185	155	16	samples	sample	NOUN
esrj-65185	155	17	than	than	SCONJ
esrj-65185	155	18	is	be	AUX
esrj-65185	155	19	the	the	DET
esrj-65185	155	20	srt	srt	NOUN
esrj-65185	155	21	method	method	NOUN
esrj-65185	155	22	,	,	PUNCT
esrj-65185	155	23	and	and	CCONJ
esrj-65185	155	24	it	it	PRON
esrj-65185	155	25	performed	perform	VERB
esrj-65185	155	26	better	well	ADV
esrj-65185	155	27	at	at	ADP
esrj-65185	155	28	target	target	NOUN
esrj-65185	155	29	stations	station	NOUN
esrj-65185	155	30	with	with	ADP
esrj-65185	155	31	sparse	sparse	ADJ
esrj-65185	155	32	neighboring	neighboring	NOUN
esrj-65185	155	33	stations	station	NOUN
esrj-65185	155	34	or	or	CCONJ
esrj-65185	155	35	low	low	ADJ
esrj-65185	155	36	spatial	spatial	ADJ
esrj-65185	155	37	correlation	correlation	NOUN
esrj-65185	155	38	.	.	PUNCT
esrj-65185	156	1	the	the	DET
esrj-65185	156	2	run	run	ADJ
esrj-65185	156	3	time	time	NOUN
esrj-65185	156	4	of	of	ADP
esrj-65185	156	5	the	the	DET
esrj-65185	156	6	model	model	NOUN
esrj-65185	156	7	can	can	AUX
esrj-65185	156	8	be	be	AUX
esrj-65185	156	9	reduced	reduce	VERB
esrj-65185	156	10	effectively	effectively	ADV
esrj-65185	156	11	by	by	ADP
esrj-65185	156	12	choosing	choose	VERB
esrj-65185	156	13	the	the	DET
esrj-65185	156	14	appropriate	appropriate	ADJ
esrj-65185	156	15	correlation	correlation	NOUN
esrj-65185	156	16	factor	factor	NOUN
esrj-65185	156	17	at	at	ADP
esrj-65185	156	18	the	the	DET
esrj-65185	156	19	expense	expense	NOUN
esrj-65185	156	20	of	of	ADP
esrj-65185	156	21	a	a	DET
esrj-65185	156	22	small	small	ADJ
esrj-65185	156	23	increase	increase	NOUN
esrj-65185	156	24	in	in	ADP
esrj-65185	156	25	the	the	DET
esrj-65185	156	26	error	error	NOUN
esrj-65185	156	27	.	.	PUNCT
esrj-65185	157	1	the	the	DET
esrj-65185	157	2	pca	pca	PROPN
esrj-65185	157	3	-	-	PUNCT
esrj-65185	157	4	rf	rf	ADJ
esrj-65185	157	5	method	method	NOUN
esrj-65185	157	6	is	be	AUX
esrj-65185	157	7	more	more	ADV
esrj-65185	157	8	stable	stable	ADJ
esrj-65185	157	9	and	and	CCONJ
esrj-65185	157	10	has	have	VERB
esrj-65185	157	11	a	a	DET
esrj-65185	157	12	higher	high	ADJ
esrj-65185	157	13	error	error	NOUN
esrj-65185	157	14	detection	detection	NOUN
esrj-65185	157	15	rate	rate	NOUN
esrj-65185	157	16	compared	compare	VERB
esrj-65185	157	17	to	to	ADP
esrj-65185	157	18	the	the	DET
esrj-65185	157	19	stability	stability	NOUN
esrj-65185	157	20	and	and	CCONJ
esrj-65185	157	21	detection	detection	NOUN
esrj-65185	157	22	rate	rate	NOUN
esrj-65185	157	23	of	of	ADP
esrj-65185	157	24	the	the	DET
esrj-65185	157	25	srt	srt	NOUN
esrj-65185	157	26	method	method	NOUN
esrj-65185	157	27	.	.	PUNCT
esrj-65185	158	1	in	in	ADP
esrj-65185	158	2	the	the	DET
esrj-65185	158	3	next	next	ADJ
esrj-65185	158	4	study	study	NOUN
esrj-65185	158	5	,	,	PUNCT
esrj-65185	158	6	time	time	NOUN
esrj-65185	158	7	series	series	PROPN
esrj-65185	158	8	will	will	AUX
esrj-65185	158	9	be	be	AUX
esrj-65185	158	10	combined	combine	VERB
esrj-65185	158	11	with	with	ADP
esrj-65185	158	12	the	the	DET
esrj-65185	158	13	pca	pca	NOUN
esrj-65185	158	14	-	-	PUNCT
esrj-65185	158	15	rf	rf	NOUN
esrj-65185	158	16	method	method	NOUN
esrj-65185	158	17	,	,	PUNCT
esrj-65185	158	18	and	and	CCONJ
esrj-65185	158	19	the	the	DET
esrj-65185	158	20	error	error	NOUN
esrj-65185	158	21	detection	detection	NOUN
esrj-65185	158	22	rate	rate	NOUN
esrj-65185	158	23	of	of	ADP
esrj-65185	158	24	the	the	DET
esrj-65185	158	25	pca	pca	PROPN
esrj-65185	158	26	-	-	PUNCT
esrj-65185	158	27	rf	rf	PROPN
esrj-65185	158	28	qc	qc	PROPN
esrj-65185	158	29	model	model	NOUN
esrj-65185	158	30	may	may	AUX
esrj-65185	158	31	be	be	AUX
esrj-65185	158	32	improved	improve	VERB
esrj-65185	158	33	by	by	ADP
esrj-65185	158	34	eliminating	eliminate	VERB
esrj-65185	158	35	the	the	DET
esrj-65185	158	36	influence	influence	NOUN
esrj-65185	158	37	of	of	ADP
esrj-65185	158	38	noisy	noisy	ADJ
esrj-65185	158	39	time	time	NOUN
esrj-65185	158	40	series	series	NOUN
esrj-65185	158	41	.	.	PUNCT
esrj-65185	159	1	the	the	DET
esrj-65185	159	2	physical	physical	ADJ
esrj-65185	159	3	connection	connection	NOUN
esrj-65185	159	4	between	between	ADP
esrj-65185	159	5	multiple	multiple	ADJ
esrj-65185	159	6	elements	element	NOUN
esrj-65185	159	7	at	at	ADP
esrj-65185	159	8	neighboring	neighboring	NOUN
esrj-65185	159	9	stations	station	NOUN
esrj-65185	159	10	must	must	AUX
esrj-65185	159	11	be	be	AUX
esrj-65185	159	12	taken	take	VERB
esrj-65185	159	13	into	into	ADP
esrj-65185	159	14	account	account	NOUN
esrj-65185	159	15	to	to	PART
esrj-65185	159	16	improve	improve	VERB
esrj-65185	159	17	the	the	DET
esrj-65185	159	18	performance	performance	NOUN
esrj-65185	159	19	of	of	ADP
esrj-65185	159	20	the	the	DET
esrj-65185	159	21	model	model	NOUN
esrj-65185	159	22	through	through	ADP
esrj-65185	159	23	the	the	DET
esrj-65185	159	24	establishment	establishment	NOUN
esrj-65185	159	25	of	of	ADP
esrj-65185	159	26	a	a	DET
esrj-65185	159	27	new	new	ADJ
esrj-65185	159	28	sample	sample	NOUN
esrj-65185	159	29	set	set	VERB
esrj-65185	159	30	based	base	VERB
esrj-65185	159	31	on	on	ADP
esrj-65185	159	32	physical	physical	ADJ
esrj-65185	159	33	connections	connection	NOUN
esrj-65185	159	34	.	.	PUNCT
esrj-65185	160	1	acknowledgements	acknowledgement	NOUN
esrj-65185	160	2	this	this	DET
esrj-65185	160	3	research	research	NOUN
esrj-65185	160	4	was	be	AUX
esrj-65185	160	5	financially	financially	ADV
esrj-65185	160	6	supported	support	VERB
esrj-65185	160	7	by	by	ADP
esrj-65185	160	8	the	the	DET
esrj-65185	160	9	national	national	ADJ
esrj-65185	160	10	natural	natural	PROPN
esrj-65185	160	11	science	science	PROPN
esrj-65185	160	12	foundation	foundation	PROPN
esrj-65185	160	13	of	of	ADP
esrj-65185	160	14	china	china	PROPN
esrj-65185	160	15	(	(	PUNCT
esrj-65185	160	16	grant	grant	VERB
esrj-65185	160	17	no	no	NOUN
esrj-65185	160	18	.	.	PROPN
esrj-65185	160	19	41675156	41675156	NUM
esrj-65185	160	20	)	)	PUNCT
esrj-65185	160	21	,	,	PUNCT
esrj-65185	160	22	the	the	DET
esrj-65185	160	23	postgraduate	postgraduate	NOUN
esrj-65185	160	24	research	research	NOUN
esrj-65185	160	25	and	and	CCONJ
esrj-65185	160	26	practice	practice	NOUN
esrj-65185	160	27	innovation	innovation	NOUN
esrj-65185	160	28	program	program	NOUN
esrj-65185	160	29	of	of	ADP
esrj-65185	160	30	jiangsu	jiangsu	PROPN
esrj-65185	160	31	province	province	PROPN
esrj-65185	160	32	(	(	PUNCT
esrj-65185	160	33	grant	grant	VERB
esrj-65185	160	34	no	no	NOUN
esrj-65185	160	35	.	.	PUNCT
esrj-65185	160	36	sjzz16_0155	sjzz16_0155	NOUN
esrj-65185	160	37	)	)	PUNCT
esrj-65185	160	38	,	,	PUNCT
esrj-65185	160	39	the	the	DET
esrj-65185	160	40	national	national	ADJ
esrj-65185	160	41	public	public	ADJ
esrj-65185	160	42	welfare	welfare	NOUN
esrj-65185	160	43	industry	industry	NOUN
esrj-65185	160	44	(	(	PUNCT
esrj-65185	160	45	meteorological	meteorological	ADJ
esrj-65185	160	46	)	)	PUNCT
esrj-65185	160	47	scientific	scientific	ADJ
esrj-65185	160	48	research	research	NOUN
esrj-65185	160	49	(	(	PUNCT
esrj-65185	160	50	no	no	INTJ
esrj-65185	160	51	.	.	PUNCT
esrj-65185	160	52	gyhy20110604	gyhy20110604	PROPN
esrj-65185	160	53	)	)	PUNCT
esrj-65185	160	54	and	and	CCONJ
esrj-65185	160	55	the	the	DET
esrj-65185	160	56	six	six	NUM
esrj-65185	160	57	talent	talent	NOUN
esrj-65185	160	58	peaks	peak	NOUN
esrj-65185	160	59	project	project	NOUN
esrj-65185	160	60	in	in	ADP
esrj-65185	160	61	jiangsu	jiangsu	PROPN
esrj-65185	160	62	province	province	PROPN
esrj-65185	160	63	(	(	PUNCT
esrj-65185	160	64	wlw-021	wlw-021	NOUN
esrj-65185	160	65	)	)	PUNCT
esrj-65185	160	66	.	.	PUNCT
esrj-65185	161	1	references	reference	NOUN
esrj-65185	161	2	allen	allen	PROPN
esrj-65185	161	3	,	,	PUNCT
esrj-65185	161	4	r.g	r.g	PROPN
esrj-65185	161	5	.	.	PROPN
esrj-65185	161	6	,	,	PUNCT
esrj-65185	161	7	et	et	PROPN
esrj-65185	161	8	al	al	PROPN
esrj-65185	161	9	.	.	PUNCT
esrj-65185	162	1	“	"	PUNCT
esrj-65185	162	2	crop	crop	NOUN
esrj-65185	162	3	evapotranspiration	evapotranspiration	NOUN
esrj-65185	162	4	-	-	PUNCT
esrj-65185	162	5	guidelines	guideline	NOUN
esrj-65185	162	6	for	for	ADP
esrj-65185	162	7	computing	compute	VERB
esrj-65185	162	8	crop	crop	NOUN
esrj-65185	162	9	water	water	NOUN
esrj-65185	162	10	requirements	requirement	NOUN
esrj-65185	162	11	-	-	PUNCT
esrj-65185	162	12	fao	fao	NOUN
esrj-65185	162	13	irrigation	irrigation	NOUN
esrj-65185	162	14	and	and	CCONJ
esrj-65185	162	15	drainage	drainage	NOUN
esrj-65185	162	16	paper	paper	NOUN
esrj-65185	162	17	56	56	NUM
esrj-65185	162	18	.	.	PUNCT
esrj-65185	162	19	”	"	PUNCT
esrj-65185	163	1	fao	fao	PROPN
esrj-65185	163	2	,	,	PUNCT
esrj-65185	163	3	rome	rome	PROPN
esrj-65185	163	4	300	300	NUM
esrj-65185	163	5	(	(	PUNCT
esrj-65185	163	6	1998	1998	NUM
esrj-65185	163	7	):	):	PUNCT
esrj-65185	163	8	d05109	d05109	VERB
esrj-65185	163	9	.	.	PUNCT
esrj-65185	164	1	asis	asis	PROPN
esrj-65185	164	2	j.	j.	PROPN
esrj-65185	164	3	,	,	PUNCT
esrj-65185	164	4	tahir	tahir	PROPN
esrj-65185	164	5	s.h	s.h	PROPN
esrj-65185	164	6	.	.	PROPN
esrj-65185	164	7	,	,	PUNCT
esrj-65185	164	8	rahim	rahim	PROPN
esrj-65185	164	9	a.r	a.r	PROPN
esrj-65185	164	10	.	.	PROPN
esrj-65185	164	11	,	,	PUNCT
esrj-65185	164	12	konjing	konje	VERB
esrj-65185	164	13	z.	z.	PROPN
esrj-65185	164	14	,	,	PUNCT
esrj-65185	164	15	kob	kob	PROPN
esrj-65185	164	16	r.c	r.c	PROPN
esrj-65185	164	17	.	.	PROPN
esrj-65185	164	18	,	,	PUNCT
esrj-65185	164	19	tjia	tjia	PROPN
esrj-65185	164	20	h.d	h.d	PROPN
esrj-65185	164	21	.	.	PROPN
esrj-65185	164	22	,	,	PUNCT
esrj-65185	164	23	“	"	PUNCT
esrj-65185	164	24	smaller	small	ADJ
esrj-65185	164	25	benthic	benthic	ADJ
esrj-65185	164	26	foraminifera	foraminifera	NOUN
esrj-65185	164	27	analysis	analysis	NOUN
esrj-65185	164	28	of	of	ADP
esrj-65185	164	29	kudat	kudat	NOUN
esrj-65185	164	30	formation	formation	NOUN
esrj-65185	164	31	,	,	PUNCT
esrj-65185	164	32	kudat	kudat	PROPN
esrj-65185	164	33	,	,	PUNCT
esrj-65185	164	34	sabah	sabah	PROPN
esrj-65185	164	35	:	:	PUNCT
esrj-65185	164	36	preliminary	preliminary	ADJ
esrj-65185	164	37	interpretation	interpretation	NOUN
esrj-65185	164	38	.	.	PUNCT
esrj-65185	164	39	”	"	PUNCT
esrj-65185	165	1	geological	geological	ADJ
esrj-65185	165	2	behavior	behavior	NOUN
esrj-65185	165	3	1	1	NUM
esrj-65185	165	4	(	(	PUNCT
esrj-65185	165	5	2017	2017	NUM
esrj-65185	165	6	):	):	PUNCT
esrj-65185	165	7	27	27	NUM
esrj-65185	165	8	-	-	SYM
esrj-65185	165	9	29	29	NUM
esrj-65185	165	10	baker	baker	PROPN
esrj-65185	165	11	,	,	PUNCT
esrj-65185	165	12	n.l	n.l	PROPN
esrj-65185	165	13	.	.	PROPN
esrj-65185	165	14	,	,	PUNCT
esrj-65185	165	15	“	"	PUNCT
esrj-65185	165	16	quality	quality	NOUN
esrj-65185	165	17	control	control	NOUN
esrj-65185	165	18	for	for	ADP
esrj-65185	165	19	the	the	DET
esrj-65185	165	20	navy	navy	PROPN
esrj-65185	165	21	operational	operational	ADJ
esrj-65185	165	22	atmospheric	atmospheric	ADJ
esrj-65185	165	23	database	database	NOUN
esrj-65185	165	24	.	.	PUNCT
esrj-65185	165	25	”	"	PUNCT
esrj-65185	166	1	weather	weather	NOUN
esrj-65185	166	2	and	and	CCONJ
esrj-65185	166	3	forecasting	forecast	VERB
esrj-65185	166	4	7	7	NUM
esrj-65185	166	5	(	(	PUNCT
esrj-65185	166	6	1992	1992	NUM
esrj-65185	166	7	):	):	PUNCT
esrj-65185	166	8	250	250	NUM
esrj-65185	166	9	-	-	SYM
esrj-65185	166	10	261	261	NUM
esrj-65185	166	11	.	.	PUNCT
esrj-65185	167	1	barnes	barnes	PROPN
esrj-65185	167	2	,	,	PUNCT
esrj-65185	167	3	s.	s.	PROPN
esrj-65185	167	4	l.	l.	PROPN
esrj-65185	167	5	,	,	PUNCT
esrj-65185	167	6	“	"	PUNCT
esrj-65185	167	7	a	a	DET
esrj-65185	167	8	technique	technique	NOUN
esrj-65185	167	9	for	for	ADP
esrj-65185	167	10	maximizing	maximize	VERB
esrj-65185	167	11	details	detail	NOUN
esrj-65185	167	12	in	in	ADP
esrj-65185	167	13	numerical	numerical	ADJ
esrj-65185	167	14	weather	weather	NOUN
esrj-65185	167	15	map	map	VERB
esrj-65185	167	16	analysis	analysis	NOUN
esrj-65185	167	17	.	.	PUNCT
esrj-65185	167	18	”	"	PUNCT
esrj-65185	168	1	journal	journal	NOUN
esrj-65185	168	2	of	of	ADP
esrj-65185	168	3	applied	apply	VERB
esrj-65185	168	4	meteorology	meteorology	NOUN
esrj-65185	168	5	3	3	NUM
esrj-65185	168	6	(	(	PUNCT
esrj-65185	168	7	1964	1964	NUM
esrj-65185	168	8	):	):	PUNCT
esrj-65185	168	9	396	396	NUM
esrj-65185	168	10	-	-	SYM
esrj-65185	168	11	409	409	NUM
esrj-65185	168	12	.	.	PUNCT
esrj-65185	169	1	cheng	cheng	PROPN
esrj-65185	169	2	a.r	a.r	PROPN
esrj-65185	169	3	.	.	PROPN
esrj-65185	169	4	,	,	PUNCT
esrj-65185	169	5	lee	lee	PROPN
esrj-65185	169	6	t.h	t.h	PROPN
esrj-65185	169	7	.	.	PROPN
esrj-65185	169	8	,	,	PUNCT
esrj-65185	169	9	ku	ku	PROPN
esrj-65185	169	10	h.i	h.i	PROPN
esrj-65185	169	11	.	.	PROPN
esrj-65185	169	12	,	,	PUNCT
esrj-65185	169	13	chen	chen	PROPN
esrj-65185	169	14	y.w	y.w	PROPN
esrj-65185	169	15	.	.	PROPN
esrj-65185	169	16	,	,	PUNCT
esrj-65185	169	17	“	"	PUNCT
esrj-65185	169	18	quality	quality	NOUN
esrj-65185	169	19	control	control	NOUN
esrj-65185	169	20	program	program	NOUN
esrj-65185	169	21	for	for	ADP
esrj-65185	169	22	real	real	ADJ
esrj-65185	169	23	-	-	PUNCT
esrj-65185	169	24	time	time	NOUN
esrj-65185	169	25	hourly	hourly	ADJ
esrj-65185	169	26	temperature	temperature	NOUN
esrj-65185	169	27	observation	observation	NOUN
esrj-65185	169	28	in	in	ADP
esrj-65185	169	29	taiwan	taiwan	PROPN
esrj-65185	169	30	.	.	PUNCT
esrj-65185	169	31	”	"	PUNCT
esrj-65185	169	32	journal	journal	NOUN
esrj-65185	169	33	of	of	ADP
esrj-65185	169	34	atmospheric	atmospheric	ADJ
esrj-65185	169	35	and	and	CCONJ
esrj-65185	169	36	oceanic	oceanic	ADJ
esrj-65185	169	37	technology	technology	NOUN
esrj-65185	169	38	33	33	NUM
esrj-65185	169	39	(	(	PUNCT
esrj-65185	169	40	2016	2016	NUM
esrj-65185	169	41	):	):	PUNCT
esrj-65185	169	42	953	953	NUM
esrj-65185	169	43	-	-	SYM
esrj-65185	169	44	976	976	NUM
esrj-65185	169	45	.	.	PUNCT
esrj-65185	170	1	cheng	cheng	PROPN
esrj-65185	170	2	w.	w.	PROPN
esrj-65185	170	3	,	,	PUNCT
esrj-65185	170	4	zhou	zhou	PROPN
esrj-65185	170	5	c.	c.	PROPN
esrj-65185	170	6	,	,	PUNCT
esrj-65185	170	7	chai	chai	NOUN
esrj-65185	170	8	h.	h.	PROPN
esrj-65185	170	9	,	,	PUNCT
esrj-65185	170	10	zhao	zhao	PROPN
esrj-65185	170	11	s.	s.	PROPN
esrj-65185	170	12	,	,	PUNCT
esrj-65185	170	13	li	li	PROPN
esrj-65185	170	14	b.	b.	PROPN
esrj-65185	170	15	,	,	PUNCT
esrj-65185	170	16	“	"	PUNCT
esrj-65185	170	17	quantitative	quantitative	ADJ
esrj-65185	170	18	extraction	extraction	NOUN
esrj-65185	170	19	and	and	CCONJ
esrj-65185	170	20	analysis	analysis	NOUN
esrj-65185	170	21	of	of	ADP
esrj-65185	170	22	basic	basic	ADJ
esrj-65185	170	23	morphological	morphological	ADJ
esrj-65185	170	24	types	type	NOUN
esrj-65185	170	25	of	of	ADP
esrj-65185	170	26	land	land	NOUN
esrj-65185	170	27	geomorphology	geomorphology	NOUN
esrj-65185	170	28	in	in	ADP
esrj-65185	170	29	china	china	PROPN
esrj-65185	170	30	.	.	PUNCT
esrj-65185	170	31	”	"	PUNCT
esrj-65185	170	32	journal	journal	PROPN
esrj-65185	170	33	of	of	ADP
esrj-65185	170	34	geo	geo	PROPN
esrj-65185	170	35	-	-	PUNCT
esrj-65185	170	36	information	information	NOUN
esrj-65185	170	37	science	science	NOUN
esrj-65185	170	38	(	(	PUNCT
esrj-65185	170	39	in	in	ADP
esrj-65185	170	40	chinese	chinese	ADJ
esrj-65185	170	41	)	)	PUNCT
esrj-65185	170	42	6	6	NUM
esrj-65185	170	43	(	(	PUNCT
esrj-65185	170	44	2009	2009	NUM
esrj-65185	170	45	):	):	PUNCT
esrj-65185	170	46	725	725	NUM
esrj-65185	170	47	-	-	SYM
esrj-65185	170	48	736	736	NUM
esrj-65185	170	49	.	.	PUNCT
esrj-65185	171	1	cutler	cutler	PROPN
esrj-65185	171	2	d.r	d.r	PROPN
esrj-65185	171	3	.	.	PROPN
esrj-65185	171	4	,	,	PUNCT
esrj-65185	171	5	edwards	edwards	PROPN
esrj-65185	172	1	t.c	t.c	PROPN
esrj-65185	172	2	.	.	PROPN
esrj-65185	172	3	,	,	PUNCT
esrj-65185	172	4	beard	beard	PROPN
esrj-65185	172	5	k.h	k.h	PROPN
esrj-65185	172	6	.	.	PROPN
esrj-65185	172	7	,	,	PUNCT
esrj-65185	172	8	cutler	cutler	NOUN
esrj-65185	172	9	a.	a.	PROPN
esrj-65185	172	10	,	,	PUNCT
esrj-65185	172	11	hess	hess	PROPN
esrj-65185	172	12	k.t	k.t	PROPN
esrj-65185	172	13	.	.	PROPN
esrj-65185	172	14	,	,	PUNCT
esrj-65185	172	15	gibson	gibson	PROPN
esrj-65185	172	16	j.	j.	PROPN
esrj-65185	172	17	,	,	PUNCT
esrj-65185	172	18	lawler	lawler	PROPN
esrj-65185	172	19	j.j	j.j	PROPN
esrj-65185	172	20	.	.	PROPN
esrj-65185	172	21	,	,	PUNCT
esrj-65185	172	22	“	"	PUNCT
esrj-65185	172	23	random	random	ADJ
esrj-65185	172	24	forests	forest	NOUN
esrj-65185	172	25	for	for	ADP
esrj-65185	172	26	classification	classification	NOUN
esrj-65185	172	27	in	in	ADP
esrj-65185	172	28	ecology	ecology	NOUN
esrj-65185	172	29	.	.	PUNCT
esrj-65185	172	30	”	"	PUNCT
esrj-65185	173	1	ecology	ecology	NOUN
esrj-65185	173	2	88	88	NUM
esrj-65185	173	3	(	(	PUNCT
esrj-65185	173	4	2007	2007	NUM
esrj-65185	173	5	):	):	PUNCT
esrj-65185	173	6	2783	2783	NUM
esrj-65185	173	7	-	-	SYM
esrj-65185	173	8	2792	2792	NUM
esrj-65185	173	9	.	.	PUNCT
esrj-65185	174	1	feng	feng	PROPN
esrj-65185	174	2	s.	s.	PROPN
esrj-65185	174	3	,	,	PUNCT
esrj-65185	174	4	hu	hu	PROPN
esrj-65185	174	5	q.	q.	PROPN
esrj-65185	174	6	,	,	PUNCT
esrj-65185	174	7	qian	qian	PROPN
esrj-65185	174	8	w.	w.	PROPN
esrj-65185	174	9	,	,	PUNCT
esrj-65185	174	10	“	"	PUNCT
esrj-65185	174	11	quality	quality	NOUN
esrj-65185	174	12	control	control	NOUN
esrj-65185	174	13	of	of	ADP
esrj-65185	174	14	daily	daily	ADJ
esrj-65185	174	15	meteorological	meteorological	ADJ
esrj-65185	174	16	data	datum	NOUN
esrj-65185	174	17	in	in	ADP
esrj-65185	174	18	china	china	PROPN
esrj-65185	174	19	,	,	PUNCT
esrj-65185	174	20	1951–2000	1951–2000	NUM
esrj-65185	174	21	:	:	PUNCT
esrj-65185	174	22	a	a	DET
esrj-65185	174	23	new	new	ADJ
esrj-65185	174	24	dataset	dataset	NOUN
esrj-65185	174	25	.	.	PUNCT
esrj-65185	174	26	”	"	PUNCT
esrj-65185	174	27	international	international	ADJ
esrj-65185	174	28	journal	journal	NOUN
esrj-65185	174	29	of	of	ADP
esrj-65185	174	30	climatology	climatology	NOUN
esrj-65185	174	31	24	24	NUM
esrj-65185	174	32	(	(	PUNCT
esrj-65185	174	33	2004	2004	NUM
esrj-65185	174	34	):	):	PUNCT
esrj-65185	174	35	853	853	NUM
esrj-65185	174	36	-	-	SYM
esrj-65185	174	37	870	870	NUM
esrj-65185	174	38	.	.	PUNCT
esrj-65185	175	1	forsythe	forsythe	PROPN
esrj-65185	175	2	,	,	PUNCT
esrj-65185	175	3	w.c	w.c	PROPN
esrj-65185	175	4	.	.	PROPN
esrj-65185	175	5	,	,	PUNCT
esrj-65185	175	6	rykiel	rykiel	PROPN
esrj-65185	175	7	,	,	PUNCT
esrj-65185	175	8	e.j	e.j	PROPN
esrj-65185	175	9	.	.	PROPN
esrj-65185	175	10	,	,	PUNCT
esrj-65185	175	11	stahl	stahl	PROPN
esrj-65185	175	12	,	,	PUNCT
esrj-65185	175	13	r.s	r.s	PROPN
esrj-65185	175	14	.	.	PROPN
esrj-65185	175	15	,	,	PUNCT
esrj-65185	175	16	wy	wy	PROPN
esrj-65185	175	17	,	,	PUNCT
esrj-65185	175	18	h.i	h.i	PROPN
esrj-65185	175	19	.	.	PROPN
esrj-65185	175	20	,	,	PUNCT
esrj-65185	175	21	schoolfield	schoolfield	NOUN
esrj-65185	175	22	,	,	PUNCT
esrj-65185	175	23	r.m	r.m	PROPN
esrj-65185	175	24	.	.	PUNCT
esrj-65185	175	25	“	"	PUNCT
esrj-65185	175	26	amodel	amodel	NOUN
esrj-65185	175	27	comparision	comparision	NOUN
esrj-65185	175	28	for	for	ADP
esrj-65185	175	29	daylength	daylength	NOUN
esrj-65185	175	30	as	as	ADP
esrj-65185	175	31	a	a	DET
esrj-65185	175	32	function	function	NOUN
esrj-65185	175	33	of	of	ADP
esrj-65185	175	34	latitude	latitude	NOUN
esrj-65185	175	35	and	and	CCONJ
esrj-65185	175	36	day	day	NOUN
esrj-65185	175	37	of	of	ADP
esrj-65185	175	38	year	year	NOUN
esrj-65185	175	39	.	.	PUNCT
esrj-65185	175	40	”	"	PUNCT
esrj-65185	175	41	ecological	ecological	ADJ
esrj-65185	175	42	moelling	moelle	VERB
esrj-65185	175	43	80	80	NUM
esrj-65185	175	44	(	(	PUNCT
esrj-65185	175	45	1995	1995	NUM
esrj-65185	175	46	):	):	PUNCT
esrj-65185	175	47	87	87	NUM
esrj-65185	175	48	-	-	SYM
esrj-65185	175	49	95	95	NUM
esrj-65185	175	50	.	.	PUNCT
esrj-65185	176	1	gandin	gandin	VERB
esrj-65185	176	2	,	,	PUNCT
esrj-65185	176	3	l.s	l.s	PROPN
esrj-65185	176	4	.	.	PROPN
esrj-65185	176	5	,	,	PUNCT
esrj-65185	176	6	“	"	PUNCT
esrj-65185	176	7	complex	complex	ADJ
esrj-65185	176	8	quality	quality	NOUN
esrj-65185	176	9	control	control	NOUN
esrj-65185	176	10	of	of	ADP
esrj-65185	176	11	meteorological	meteorological	ADJ
esrj-65185	176	12	observations	observation	NOUN
esrj-65185	176	13	.	.	PUNCT
esrj-65185	176	14	”	"	PUNCT
esrj-65185	177	1	monthly	monthly	ADJ
esrj-65185	177	2	weather	weather	NOUN
esrj-65185	177	3	review	review	NOUN
esrj-65185	177	4	116	116	NUM
esrj-65185	177	5	(	(	PUNCT
esrj-65185	177	6	1988	1988	NUM
esrj-65185	177	7	)	)	PUNCT
esrj-65185	177	8	1137	1137	NUM
esrj-65185	177	9	-	-	SYM
esrj-65185	177	10	1156	1156	NUM
esrj-65185	177	11	.	.	PUNCT
esrj-65185	178	1	he	he	PRON
esrj-65185	178	2	q.	q.	VERB
esrj-65185	178	3	,	,	PUNCT
esrj-65185	178	4	wang	wang	PROPN
esrj-65185	178	5	z.	z.	PROPN
esrj-65185	178	6	,	,	PUNCT
esrj-65185	178	7	he	he	PRON
esrj-65185	178	8	j.	j.	PROPN
esrj-65185	178	9	,	,	PUNCT
esrj-65185	178	10	“	"	PUNCT
esrj-65185	178	11	bias	bias	NOUN
esrj-65185	178	12	correction	correction	NOUN
esrj-65185	178	13	for	for	ADP
esrj-65185	178	14	retrieval	retrieval	NOUN
esrj-65185	178	15	of	of	ADP
esrj-65185	178	16	atmospheric	atmospheric	ADJ
esrj-65185	178	17	parameters	parameter	NOUN
esrj-65185	178	18	from	from	ADP
esrj-65185	178	19	the	the	DET
esrj-65185	178	20	microwave	microwave	NOUN
esrj-65185	178	21	humidity	humidity	NOUN
esrj-65185	178	22	and	and	CCONJ
esrj-65185	178	23	temperature	temperature	NOUN
esrj-65185	178	24	sounder	sounder	NOUN
esrj-65185	178	25	onboard	onboard	ADP
esrj-65185	178	26	the	the	DET
esrj-65185	178	27	fengyun-3c	fengyun-3c	NOUN
esrj-65185	178	28	satellite	satellite	NOUN
esrj-65185	178	29	.	.	PUNCT
esrj-65185	178	30	”	"	PUNCT
esrj-65185	179	1	atmosphere	atmosphere	NOUN
esrj-65185	179	2	7	7	NUM
esrj-65185	179	3	(	(	PUNCT
esrj-65185	179	4	2016	2016	NUM
esrj-65185	179	5	):	):	PUNCT
esrj-65185	179	6	156	156	NUM
esrj-65185	179	7	.	.	PUNCT
esrj-65185	180	1	hu	hu	PROPN
esrj-65185	180	2	,	,	PUNCT
esrj-65185	180	3	q.	q.	PROPN
esrj-65185	180	4	,	,	PUNCT
esrj-65185	180	5	feng	feng	PROPN
esrj-65185	180	6	,	,	PUNCT
esrj-65185	180	7	s.	s.	PROPN
esrj-65185	180	8	,	,	PUNCT
esrj-65185	180	9	schaefer	schaefer	PROPN
esrj-65185	180	10	,	,	PUNCT
esrj-65185	180	11	g.	g.	PROPN
esrj-65185	180	12	,	,	PUNCT
esrj-65185	180	13	“	"	PUNCT
esrj-65185	180	14	quality	quality	NOUN
esrj-65185	180	15	control	control	NOUN
esrj-65185	180	16	for	for	ADP
esrj-65185	180	17	usda	usda	PROPN
esrj-65185	180	18	nrcs	nrcs	PROPN
esrj-65185	180	19	sm	sm	PROPN
esrj-65185	180	20	-	-	PUNCT
esrj-65185	180	21	st	st	PROPN
esrj-65185	180	22	network	network	NOUN
esrj-65185	180	23	soil	soil	NOUN
esrj-65185	180	24	temperatures	temperature	NOUN
esrj-65185	180	25	:	:	PUNCT
esrj-65185	180	26	a	a	DET
esrj-65185	180	27	method	method	NOUN
esrj-65185	180	28	and	and	CCONJ
esrj-65185	180	29	a	a	DET
esrj-65185	180	30	dataset	dataset	NOUN
esrj-65185	180	31	*	*	PROPN
esrj-65185	180	32	.	.	PUNCT
esrj-65185	180	33	”	"	PUNCT
esrj-65185	180	34	journal	journal	NOUN
esrj-65185	180	35	of	of	ADP
esrj-65185	180	36	applied	apply	VERB
esrj-65185	180	37	meteorology	meteorology	NOUN
esrj-65185	180	38	41	41	NUM
esrj-65185	180	39	(	(	PUNCT
esrj-65185	180	40	2002	2002	NUM
esrj-65185	180	41	):	):	PUNCT
esrj-65185	180	42	607	607	NUM
esrj-65185	180	43	-	-	SYM
esrj-65185	180	44	619	619	NUM
esrj-65185	180	45	.	.	PUNCT
esrj-65185	181	1	hubbard	hubbard	PROPN
esrj-65185	181	2	k.	k.	PROPN
esrj-65185	181	3	,	,	PUNCT
esrj-65185	181	4	goddard	goddard	PROPN
esrj-65185	181	5	s.	s.	PROPN
esrj-65185	181	6	,	,	PUNCT
esrj-65185	181	7	sorensen	sorensen	PROPN
esrj-65185	181	8	w.	w.	PROPN
esrj-65185	181	9	,	,	PUNCT
esrj-65185	181	10	wells	wells	PROPN
esrj-65185	181	11	n.	n.	PROPN
esrj-65185	181	12	,	,	PUNCT
esrj-65185	181	13	osugi	osugi	PROPN
esrj-65185	181	14	t.	t.	PROPN
esrj-65185	181	15	,	,	PUNCT
esrj-65185	181	16	“	"	PUNCT
esrj-65185	181	17	performance	performance	NOUN
esrj-65185	181	18	of	of	ADP
esrj-65185	181	19	quality	quality	NOUN
esrj-65185	181	20	assurance	assurance	NOUN
esrj-65185	181	21	procedures	procedure	NOUN
esrj-65185	181	22	for	for	ADP
esrj-65185	181	23	an	an	DET
esrj-65185	181	24	applied	apply	VERB
esrj-65185	181	25	climate	climate	NOUN
esrj-65185	181	26	information	information	NOUN
esrj-65185	181	27	system	system	NOUN
esrj-65185	181	28	.	.	PUNCT
esrj-65185	181	29	”	"	PUNCT
esrj-65185	181	30	journal	journal	NOUN
esrj-65185	181	31	of	of	ADP
esrj-65185	181	32	atmospheric	atmospheric	ADJ
esrj-65185	181	33	and	and	CCONJ
esrj-65185	181	34	oceanic	oceanic	ADJ
esrj-65185	181	35	technology	technology	NOUN
esrj-65185	181	36	22	22	NUM
esrj-65185	181	37	(	(	PUNCT
esrj-65185	181	38	2005	2005	NUM
esrj-65185	181	39	):	):	PUNCT
esrj-65185	181	40	105	105	NUM
esrj-65185	181	41	-	-	SYM
esrj-65185	181	42	112	112	NUM
esrj-65185	181	43	.	.	PUNCT
esrj-65185	182	1	hubbard	hubbard	PROPN
esrj-65185	182	2	k.g	k.g	PROPN
esrj-65185	182	3	.	.	PROPN
esrj-65185	182	4	,	,	PUNCT
esrj-65185	182	5	guttman	guttman	PROPN
esrj-65185	182	6	n.b	n.b	PROPN
esrj-65185	182	7	.	.	PROPN
esrj-65185	182	8	,	,	PUNCT
esrj-65185	182	9	you	you	PRON
esrj-65185	182	10	j.	j.	PROPN
esrj-65185	182	11	,	,	PUNCT
esrj-65185	182	12	chen	chen	PROPN
esrj-65185	182	13	z.	z.	PROPN
esrj-65185	182	14	,	,	PUNCT
esrj-65185	182	15	“	"	PUNCT
esrj-65185	182	16	an	an	DET
esrj-65185	182	17	improved	improved	ADJ
esrj-65185	182	18	qc	qc	NOUN
esrj-65185	182	19	process	process	NOUN
esrj-65185	182	20	for	for	ADP
esrj-65185	182	21	temperature	temperature	NOUN
esrj-65185	182	22	in	in	ADP
esrj-65185	182	23	the	the	DET
esrj-65185	182	24	daily	daily	ADJ
esrj-65185	182	25	cooperative	cooperative	ADJ
esrj-65185	182	26	weather	weather	NOUN
esrj-65185	182	27	observations	observation	NOUN
esrj-65185	182	28	.	.	PUNCT
esrj-65185	182	29	”	"	PUNCT
esrj-65185	183	1	journal	journal	NOUN
esrj-65185	183	2	of	of	ADP
esrj-65185	183	3	atmospheric	atmospheric	ADJ
esrj-65185	183	4	and	and	CCONJ
esrj-65185	183	5	oceanic	oceanic	ADJ
esrj-65185	183	6	technology	technology	NOUN
esrj-65185	183	7	24	24	NUM
esrj-65185	183	8	(	(	PUNCT
esrj-65185	183	9	2007	2007	NUM
esrj-65185	183	10	):	):	PUNCT
esrj-65185	183	11	206	206	NUM
esrj-65185	183	12	-	-	SYM
esrj-65185	183	13	213	213	NUM
esrj-65185	183	14	.	.	PUNCT
esrj-65185	184	1	hubbard	hubbard	PROPN
esrj-65185	184	2	k.g	k.g	PROPN
esrj-65185	184	3	.	.	PROPN
esrj-65185	184	4	,	,	PUNCT
esrj-65185	184	5	you	you	PRON
esrj-65185	184	6	j.	j.	PROPN
esrj-65185	184	7	,	,	PUNCT
esrj-65185	184	8	“	"	PUNCT
esrj-65185	184	9	sensitivity	sensitivity	NOUN
esrj-65185	184	10	analysis	analysis	NOUN
esrj-65185	184	11	of	of	ADP
esrj-65185	184	12	quality	quality	NOUN
esrj-65185	184	13	assurance	assurance	NOUN
esrj-65185	184	14	using	use	VERB
esrj-65185	184	15	the	the	DET
esrj-65185	184	16	spatial	spatial	ADJ
esrj-65185	184	17	regression	regression	NOUN
esrj-65185	184	18	approach	approach	NOUN
esrj-65185	184	19	-	-	PUNCT
esrj-65185	184	20	a	a	DET
esrj-65185	184	21	case	case	NOUN
esrj-65185	184	22	study	study	NOUN
esrj-65185	184	23	of	of	ADP
esrj-65185	184	24	the	the	DET
esrj-65185	184	25	maximum/	maximum/	NUM
esrj-65185	184	26	minimum	minimum	NOUN
esrj-65185	184	27	air	air	NOUN
esrj-65185	184	28	temperature	temperature	NOUN
esrj-65185	184	29	.	.	PUNCT
esrj-65185	184	30	”	"	PUNCT
esrj-65185	185	1	journal	journal	NOUN
esrj-65185	185	2	of	of	ADP
esrj-65185	185	3	atmospheric	atmospheric	ADJ
esrj-65185	185	4	and	and	CCONJ
esrj-65185	185	5	oceanic	oceanic	ADJ
esrj-65185	185	6	technology	technology	NOUN
esrj-65185	185	7	22	22	NUM
esrj-65185	185	8	(	(	PUNCT
esrj-65185	185	9	2005	2005	NUM
esrj-65185	185	10	):	):	PUNCT
esrj-65185	185	11	1520	1520	NUM
esrj-65185	185	12	-	-	SYM
esrj-65185	185	13	1530	1530	NUM
esrj-65185	185	14	.	.	PUNCT
esrj-65185	186	1	ingleby	ingleby	PROPN
esrj-65185	186	2	n.b	n.b	PROPN
esrj-65185	186	3	.	.	PROPN
esrj-65185	186	4	and	and	CCONJ
esrj-65185	186	5	lorenc	lorenc	PROPN
esrj-65185	186	6	a.c	a.c	PROPN
esrj-65185	186	7	.	.	PROPN
esrj-65185	186	8	,	,	PUNCT
esrj-65185	186	9	“	"	PUNCT
esrj-65185	186	10	bayesian	bayesian	NOUN
esrj-65185	186	11	quality	quality	NOUN
esrj-65185	186	12	control	control	NOUN
esrj-65185	186	13	using	use	VERB
esrj-65185	186	14	multivariate	multivariate	NOUN
esrj-65185	186	15	normal	normal	ADJ
esrj-65185	186	16	distributions	distribution	NOUN
esrj-65185	186	17	.	.	PUNCT
esrj-65185	186	18	”	"	PUNCT
esrj-65185	187	1	quarterly	quarterly	ADJ
esrj-65185	187	2	journal	journal	NOUN
esrj-65185	187	3	of	of	ADP
esrj-65185	187	4	the	the	DET
esrj-65185	187	5	royal	royal	ADJ
esrj-65185	187	6	meteorological	meteorological	ADJ
esrj-65185	187	7	society	society	NOUN
esrj-65185	187	8	119	119	NUM
esrj-65185	187	9	(	(	PUNCT
esrj-65185	187	10	1993	1993	NUM
esrj-65185	187	11	):	):	PUNCT
esrj-65185	187	12	1195	1195	NUM
esrj-65185	187	13	-	-	SYM
esrj-65185	187	14	1225	1225	NUM
esrj-65185	187	15	.	.	PUNCT
esrj-65185	188	1	irannezhad	irannezhad	VERB
esrj-65185	188	2	m.	m.	NOUN
esrj-65185	188	3	,	,	PUNCT
esrj-65185	188	4	marttila	marttila	PROPN
esrj-65185	188	5	h.	h.	PROPN
esrj-65185	188	6	,	,	PUNCT
esrj-65185	188	7	chen	chen	PROPN
esrj-65185	188	8	d.	d.	PROPN
esrj-65185	188	9	,	,	PUNCT
esrj-65185	188	10	kløve	kløve	PROPN
esrj-65185	188	11	b.	b.	PROPN
esrj-65185	188	12	,	,	PUNCT
esrj-65185	188	13	“	"	PUNCT
esrj-65185	188	14	century	century	NOUN
esrj-65185	188	15	-	-	PUNCT
esrj-65185	188	16	long	long	ADJ
esrj-65185	188	17	variability	variability	NOUN
esrj-65185	188	18	and	and	CCONJ
esrj-65185	188	19	trends	trend	NOUN
esrj-65185	188	20	in	in	ADP
esrj-65185	188	21	daily	daily	ADJ
esrj-65185	188	22	precipitation	precipitation	NOUN
esrj-65185	188	23	characteristics	characteristic	NOUN
esrj-65185	188	24	at	at	ADP
esrj-65185	188	25	three	three	NUM
esrj-65185	188	26	finnish	finnish	ADJ
esrj-65185	188	27	stations	station	NOUN
esrj-65185	188	28	.	.	PUNCT
esrj-65185	188	29	”	"	PUNCT
esrj-65185	189	1	advance	advance	NOUN
esrj-65185	189	2	in	in	ADP
esrj-65185	189	3	climate	climate	NOUN
esrj-65185	189	4	change	change	NOUN
esrj-65185	189	5	research	research	NOUN
esrj-65185	189	6	(	(	PUNCT
esrj-65185	189	7	2016	2016	NUM
esrj-65185	189	8	)	)	PUNCT
esrj-65185	189	9	.	.	PUNCT
esrj-65185	190	1	jiang	jiang	PROPN
esrj-65185	190	2	g.j	g.j	PROPN
esrj-65185	190	3	.	.	PROPN
esrj-65185	190	4	,	,	PUNCT
esrj-65185	190	5	lv	lv	PROPN
esrj-65185	190	6	h.d	h.d	PROPN
esrj-65185	190	7	.	.	PROPN
esrj-65185	190	8	,	,	PUNCT
esrj-65185	190	9	liu	liu	PROPN
esrj-65185	190	10	l.	l.	PROPN
esrj-65185	190	11	,	,	PUNCT
esrj-65185	190	12	“	"	PUNCT
esrj-65185	190	13	process	process	NOUN
esrj-65185	190	14	safety	safety	NOUN
esrj-65185	190	15	evaluation	evaluation	NOUN
esrj-65185	190	16	model	model	NOUN
esrj-65185	190	17	based	base	VERB
esrj-65185	190	18	on	on	ADP
esrj-65185	190	19	lec	lec	PROPN
esrj-65185	190	20	and	and	CCONJ
esrj-65185	190	21	grey	grey	PROPN
esrj-65185	190	22	theory	theory	NOUN
esrj-65185	190	23	.	.	PUNCT
esrj-65185	190	24	”	"	PUNCT
esrj-65185	191	1	journal	journal	NOUN
esrj-65185	191	2	of	of	ADP
esrj-65185	191	3	mechanical	mechanical	ADJ
esrj-65185	191	4	engineering	engineering	NOUN
esrj-65185	191	5	research	research	NOUN
esrj-65185	191	6	and	and	CCONJ
esrj-65185	191	7	developments	development	NOUN
esrj-65185	191	8	,	,	PUNCT
esrj-65185	191	9	39(2016	39(2016	NUM
esrj-65185	191	10	):	):	PUNCT
esrj-65185	191	11	24	24	NUM
esrj-65185	191	12	-	-	SYM
esrj-65185	191	13	29	29	NUM
esrj-65185	191	14	.	.	PUNCT
esrj-65185	192	1	ridzuan	ridzuan	PROPN
esrj-65185	192	2	a.a	a.a	PROPN
esrj-65185	192	3	.	.	PROPN
esrj-65185	192	4	,	,	PUNCT
esrj-65185	192	5	zahar	zahar	PROPN
esrj-65185	192	6	u.a.u	u.a.u	PROPN
esrj-65185	192	7	.	.	PROPN
esrj-65185	192	8	,	,	PUNCT
esrj-65185	192	9	noor	noor	PROPN
esrj-65185	192	10	n.a.m	n.a.m	PROPN
esrj-65185	192	11	.	.	PROPN
esrj-65185	192	12	,	,	PUNCT
esrj-65185	192	13	“	"	PUNCT
esrj-65185	192	14	association	association	NOUN
esrj-65185	192	15	of	of	ADP
esrj-65185	192	16	evacuation	evacuation	NOUN
esrj-65185	192	17	dimensions	dimension	NOUN
esrj-65185	192	18	towards	towards	ADP
esrj-65185	192	19	risk	risk	NOUN
esrj-65185	192	20	perception	perception	NOUN
esrj-65185	192	21	of	of	ADP
esrj-65185	192	22	the	the	DET
esrj-65185	192	23	malaysian	malaysian	ADJ
esrj-65185	192	24	students	student	NOUN
esrj-65185	192	25	who	who	PRON
esrj-65185	192	26	studied	study	VERB
esrj-65185	192	27	at	at	ADP
esrj-65185	192	28	jakarta	jakarta	PROPN
esrj-65185	192	29	,	,	PUNCT
esrj-65185	192	30	medan	medan	PROPN
esrj-65185	192	31	,	,	PUNCT
esrj-65185	192	32	and	and	CCONJ
esrj-65185	192	33	acheh	acheh	NOUN
esrj-65185	192	34	in	in	ADP
esrj-65185	192	35	indonesia	indonesia	PROPN
esrj-65185	192	36	.	.	PUNCT
esrj-65185	192	37	”	"	PUNCT
esrj-65185	192	38	malaysian	malaysian	ADJ
esrj-65185	192	39	journal	journal	PROPN
esrj-65185	192	40	of	of	ADP
esrj-65185	192	41	geoscience	geoscience	NOUN
esrj-65185	192	42	,	,	PUNCT
esrj-65185	192	43	1	1	NUM
esrj-65185	192	44	(	(	PUNCT
esrj-65185	192	45	2017	2017	NUM
esrj-65185	192	46	):	):	PUNCT
esrj-65185	192	47	07	07	NUM
esrj-65185	192	48	-	-	SYM
esrj-65185	192	49	12	12	NUM
esrj-65185	192	50	.	.	PUNCT
esrj-65185	193	1	kubecka	kubecka	PROPN
esrj-65185	193	2	p.	p.	PROPN
esrj-65185	193	3	,	,	PUNCT
esrj-65185	193	4	“	"	PUNCT
esrj-65185	193	5	a	a	DET
esrj-65185	193	6	possible	possible	ADJ
esrj-65185	193	7	world	world	NOUN
esrj-65185	193	8	record	record	NOUN
esrj-65185	193	9	maximum	maximum	ADJ
esrj-65185	193	10	natural	natural	ADJ
esrj-65185	193	11	ground	ground	NOUN
esrj-65185	193	12	surface	surface	NOUN
esrj-65185	193	13	temperature	temperature	NOUN
esrj-65185	193	14	.	.	PUNCT
esrj-65185	193	15	”	"	PUNCT
esrj-65185	194	1	weather	weather	NOUN
esrj-65185	194	2	56	56	NUM
esrj-65185	194	3	(	(	PUNCT
esrj-65185	194	4	2001	2001	NUM
esrj-65185	194	5	):	):	PUNCT
esrj-65185	194	6	218	218	NUM
esrj-65185	194	7	-	-	SYM
esrj-65185	194	8	221	221	NUM
esrj-65185	194	9	.	.	PUNCT
esrj-65185	195	1	lanzante	lanzante	PROPN
esrj-65185	195	2	,	,	PUNCT
esrj-65185	195	3	j.	j.	PROPN
esrj-65185	195	4	r.	r.	PROPN
esrj-65185	195	5	,	,	PUNCT
esrj-65185	195	6	“	"	PUNCT
esrj-65185	195	7	resistant	resistant	ADJ
esrj-65185	195	8	,	,	PUNCT
esrj-65185	195	9	robust	robust	ADJ
esrj-65185	195	10	and	and	CCONJ
esrj-65185	195	11	non	non	ADJ
esrj-65185	195	12	-	-	ADJ
esrj-65185	195	13	parametric	parametric	ADJ
esrj-65185	195	14	techniques	technique	NOUN
esrj-65185	195	15	for	for	ADP
esrj-65185	195	16	the	the	DET
esrj-65185	195	17	analysis	analysis	NOUN
esrj-65185	195	18	of	of	ADP
esrj-65185	195	19	climate	climate	NOUN
esrj-65185	195	20	data	datum	NOUN
esrj-65185	195	21	:	:	PUNCT
esrj-65185	195	22	theory	theory	NOUN
esrj-65185	195	23	and	and	CCONJ
esrj-65185	195	24	examples	example	NOUN
esrj-65185	195	25	,	,	PUNCT
esrj-65185	195	26	including	include	VERB
esrj-65185	195	27	applications	application	NOUN
esrj-65185	195	28	to	to	ADP
esrj-65185	195	29	historical	historical	ADJ
esrj-65185	195	30	radiosonde	radiosonde	NOUN
esrj-65185	195	31	station	station	NOUN
esrj-65185	195	32	data	datum	NOUN
esrj-65185	195	33	.	.	PUNCT
esrj-65185	195	34	”	"	PUNCT
esrj-65185	196	1	international	international	ADJ
esrj-65185	196	2	journal	journal	NOUN
esrj-65185	196	3	of	of	ADP
esrj-65185	196	4	climatology	climatology	NOUN
esrj-65185	196	5	16	16	NUM
esrj-65185	196	6	(	(	PUNCT
esrj-65185	196	7	1996	1996	NUM
esrj-65185	196	8	):	):	PUNCT
esrj-65185	196	9	1197	1197	NUM
esrj-65185	196	10	-	-	SYM
esrj-65185	196	11	1226	1226	NUM
esrj-65185	196	12	.	.	PUNCT
esrj-65185	197	1	li	li	PROPN
esrj-65185	197	2	b.	b.	PROPN
esrj-65185	197	3	,	,	PUNCT
esrj-65185	197	4	pan	pan	PROPN
esrj-65185	197	5	b.	b.	PROPN
esrj-65185	197	6	,	,	PUNCT
esrj-65185	197	7	cheng	cheng	PROPN
esrj-65185	197	8	w.	w.	PROPN
esrj-65185	197	9	,	,	PUNCT
esrj-65185	197	10	han	han	PROPN
esrj-65185	197	11	j.	j.	PROPN
esrj-65185	197	12	,	,	PUNCT
esrj-65185	197	13	qi	qi	PROPN
esrj-65185	197	14	d.	d.	PROPN
esrj-65185	197	15	,	,	PUNCT
esrj-65185	197	16	zhu	zhu	PROPN
esrj-65185	197	17	c.	c.	PROPN
esrj-65185	197	18	,	,	PUNCT
esrj-65185	197	19	“	"	PUNCT
esrj-65185	197	20	research	research	NOUN
esrj-65185	197	21	on	on	ADP
esrj-65185	197	22	geomorphological	geomorphological	ADJ
esrj-65185	197	23	regionalization	regionalization	NOUN
esrj-65185	197	24	of	of	ADP
esrj-65185	197	25	china	china	PROPN
esrj-65185	197	26	.	.	PUNCT
esrj-65185	197	27	”	"	PUNCT
esrj-65185	198	1	acta	acta	PROPN
esrj-65185	198	2	geographica	geographica	PROPN
esrj-65185	198	3	sinica	sinica	PROPN
esrj-65185	198	4	(	(	PUNCT
esrj-65185	198	5	in	in	ADP
esrj-65185	198	6	chinese	chinese	PROPN
esrj-65185	198	7	)	)	PUNCT
esrj-65185	198	8	68	68	NUM
esrj-65185	198	9	(	(	PUNCT
esrj-65185	198	10	2013	2013	NUM
esrj-65185	198	11	):	):	PUNCT
esrj-65185	198	12	291	291	NUM
esrj-65185	198	13	-	-	SYM
esrj-65185	198	14	306	306	NUM
esrj-65185	198	15	.	.	PUNCT
esrj-65185	199	1	lloyd	lloyd	PROPN
esrj-65185	199	2	s.	s.	PROPN
esrj-65185	199	3	,	,	PUNCT
esrj-65185	199	4	mohseni	mohseni	NOUN
esrj-65185	199	5	m.	m.	NOUN
esrj-65185	199	6	,	,	PUNCT
esrj-65185	199	7	rebentrost	rebentrost	PROPN
esrj-65185	199	8	p.	p.	NOUN
esrj-65185	199	9	,	,	PUNCT
esrj-65185	199	10	“	"	PUNCT
esrj-65185	199	11	quantum	quantum	ADJ
esrj-65185	199	12	principal	principal	NOUN
esrj-65185	199	13	component	component	NOUN
esrj-65185	199	14	analysis	analysis	NOUN
esrj-65185	199	15	.	.	PUNCT
esrj-65185	199	16	”	"	PUNCT
esrj-65185	200	1	nature	nature	NOUN
esrj-65185	200	2	physics	physics	PROPN
esrj-65185	200	3	10	10	NUM
esrj-65185	200	4	(	(	PUNCT
esrj-65185	200	5	2014	2014	NUM
esrj-65185	200	6	):	):	PUNCT
esrj-65185	200	7	631	631	NUM
esrj-65185	200	8	-	-	PUNCT
esrj-65185	200	9	633	633	NUM
esrj-65185	200	10	.	.	PUNCT
esrj-65185	201	1	lorenc	lorenc	PROPN
esrj-65185	201	2	a.	a.	PROPN
esrj-65185	201	3	,	,	PUNCT
esrj-65185	201	4	hammon	hammon	PROPN
esrj-65185	201	5	o.	o.	PROPN
esrj-65185	201	6	,	,	PUNCT
esrj-65185	201	7	“	"	PUNCT
esrj-65185	201	8	objective	objective	ADJ
esrj-65185	201	9	quality	quality	NOUN
esrj-65185	201	10	control	control	NOUN
esrj-65185	201	11	of	of	ADP
esrj-65185	201	12	observations	observation	NOUN
esrj-65185	201	13	using	use	VERB
esrj-65185	201	14	bayesian	bayesian	NOUN
esrj-65185	201	15	methods	method	NOUN
esrj-65185	201	16	.	.	PUNCT
esrj-65185	202	1	theory	theory	NOUN
esrj-65185	202	2	,	,	PUNCT
esrj-65185	202	3	and	and	CCONJ
esrj-65185	202	4	a	a	DET
esrj-65185	202	5	practical	practical	ADJ
esrj-65185	202	6	implementation	implementation	NOUN
esrj-65185	202	7	.	.	PUNCT
esrj-65185	202	8	”	"	PUNCT
esrj-65185	203	1	quarterly	quarterly	ADJ
esrj-65185	203	2	journal	journal	NOUN
esrj-65185	203	3	of	of	ADP
esrj-65185	203	4	the	the	DET
esrj-65185	203	5	royal	royal	ADJ
esrj-65185	203	6	meteorological	meteorological	ADJ
esrj-65185	203	7	society	society	NOUN
esrj-65185	203	8	114	114	NUM
esrj-65185	203	9	(	(	PUNCT
esrj-65185	203	10	1988	1988	NUM
esrj-65185	203	11	):	):	PUNCT
esrj-65185	203	12	515	515	NUM
esrj-65185	203	13	-	-	SYM
esrj-65185	203	14	543	543	NUM
esrj-65185	203	15	.	.	PUNCT
esrj-65185	204	1	rahim	rahim	PROPN
esrj-65185	204	2	i.a	i.a	PROPN
esrj-65185	204	3	.	.	PROPN
esrj-65185	204	4	,	,	PUNCT
esrj-65185	204	5	usli	usli	PROPN
esrj-65185	204	6	m.n.r	m.n.r	PROPN
esrj-65185	204	7	.	.	PROPN
esrj-65185	204	8	,	,	PUNCT
esrj-65185	204	9	“	"	PUNCT
esrj-65185	204	10	slope	slope	NOUN
esrj-65185	204	11	stability	stability	NOUN
esrj-65185	204	12	study	study	NOUN
esrj-65185	204	13	around	around	ADP
esrj-65185	204	14	kampung	kampung	PROPN
esrj-65185	204	15	kuala	kuala	PROPN
esrj-65185	204	16	107spatial	107spatial	PROPN
esrj-65185	204	17	quality	quality	NOUN
esrj-65185	204	18	control	control	NOUN
esrj-65185	204	19	method	method	NOUN
esrj-65185	204	20	for	for	ADP
esrj-65185	204	21	surface	surface	NOUN
esrj-65185	204	22	temperature	temperature	NOUN
esrj-65185	204	23	observations	observation	NOUN
esrj-65185	204	24	based	base	VERB
esrj-65185	204	25	on	on	ADP
esrj-65185	204	26	multiple	multiple	ADJ
esrj-65185	204	27	elements	element	NOUN
esrj-65185	204	28	abai	abai	NOUN
esrj-65185	204	29	,	,	PUNCT
esrj-65185	204	30	kota	kota	PROPN
esrj-65185	204	31	belud	belud	PROPN
esrj-65185	204	32	,	,	PUNCT
esrj-65185	204	33	sabah	sabah	PROPN
esrj-65185	204	34	,	,	PUNCT
esrj-65185	204	35	malaysia	malaysia	PROPN
esrj-65185	204	36	.	.	PUNCT
esrj-65185	204	37	”	"	PUNCT
esrj-65185	205	1	malaysian	malaysian	ADJ
esrj-65185	205	2	journal	journal	PROPN
esrj-65185	205	3	of	of	ADP
esrj-65185	205	4	geoscience	geoscience	PROPN
esrj-65185	205	5	1	1	NUM
esrj-65185	205	6	(	(	PUNCT
esrj-65185	205	7	2017	2017	NUM
esrj-65185	205	8	):	):	PUNCT
esrj-65185	205	9	38	38	NUM
esrj-65185	205	10	-	-	SYM
esrj-65185	205	11	42	42	NUM
esrj-65185	205	12	.	.	PUNCT
esrj-65185	206	1	rahmati	rahmati	PROPN
esrj-65185	206	2	o.	o.	PROPN
esrj-65185	206	3	,	,	PUNCT
esrj-65185	206	4	pourghasemi	pourghasemi	PROPN
esrj-65185	206	5	h.r	h.r	PROPN
esrj-65185	206	6	.	.	PROPN
esrj-65185	206	7	,	,	PUNCT
esrj-65185	206	8	melesse	melesse	PROPN
esrj-65185	206	9	a.m.	a.m.	NOUN
esrj-65185	206	10	,	,	PUNCT
esrj-65185	206	11	“	"	PUNCT
esrj-65185	206	12	application	application	NOUN
esrj-65185	206	13	of	of	ADP
esrj-65185	206	14	gis	gis	NOUN
esrj-65185	206	15	-	-	PUNCT
esrj-65185	206	16	based	base	VERB
esrj-65185	206	17	data	datum	NOUN
esrj-65185	206	18	driven	drive	VERB
esrj-65185	206	19	random	random	ADJ
esrj-65185	206	20	forest	forest	NOUN
esrj-65185	206	21	and	and	CCONJ
esrj-65185	206	22	maximum	maximum	ADJ
esrj-65185	206	23	entropy	entropy	NOUN
esrj-65185	206	24	models	model	NOUN
esrj-65185	206	25	for	for	ADP
esrj-65185	206	26	groundwater	groundwater	NOUN
esrj-65185	206	27	potential	potential	ADJ
esrj-65185	206	28	mapping	mapping	NOUN
esrj-65185	206	29	:	:	PUNCT
esrj-65185	206	30	a	a	DET
esrj-65185	206	31	case	case	NOUN
esrj-65185	206	32	study	study	NOUN
esrj-65185	206	33	at	at	ADP
esrj-65185	206	34	mehran	mehran	PROPN
esrj-65185	206	35	region	region	PROPN
esrj-65185	206	36	,	,	PUNCT
esrj-65185	206	37	iran	iran	PROPN
esrj-65185	206	38	.	.	PUNCT
esrj-65185	206	39	”	"	PUNCT
esrj-65185	207	1	catena	catena	PROPN
esrj-65185	207	2	137	137	NUM
esrj-65185	207	3	(	(	PUNCT
esrj-65185	207	4	2016	2016	NUM
esrj-65185	207	5	):	):	PUNCT
esrj-65185	207	6	360	360	NUM
esrj-65185	207	7	-	-	SYM
esrj-65185	207	8	372	372	NUM
esrj-65185	207	9	.	.	PUNCT
esrj-65185	207	10	mi	mi	PROPN
esrj-65185	207	11	c.	c.	PROPN
esrj-65185	207	12	,	,	PUNCT
esrj-65185	207	13	et	et	PROPN
esrj-65185	207	14	al	al	PROPN
esrj-65185	207	15	.	.	PROPN
esrj-65185	207	16	,	,	PUNCT
esrj-65185	207	17	“	"	PUNCT
esrj-65185	207	18	a	a	DET
esrj-65185	207	19	novel	novel	ADJ
esrj-65185	207	20	experimental	experimental	ADJ
esrj-65185	207	21	teaching	teaching	NOUN
esrj-65185	207	22	approach	approach	NOUN
esrj-65185	207	23	for	for	ADP
esrj-65185	207	24	electrical	electrical	ADJ
esrj-65185	207	25	engineering	engineering	NOUN
esrj-65185	207	26	based	base	VERB
esrj-65185	207	27	on	on	ADP
esrj-65185	207	28	semi	semi	ADJ
esrj-65185	207	29	-	-	ADJ
esrj-65185	207	30	physical	physical	ADJ
esrj-65185	207	31	simulation	simulation	NOUN
esrj-65185	207	32	.	.	PUNCT
esrj-65185	207	33	”	"	PUNCT
esrj-65185	208	1	world	world	NOUN
esrj-65185	208	2	transactions	transaction	NOUN
esrj-65185	208	3	on	on	ADP
esrj-65185	208	4	engineering	engineering	NOUN
esrj-65185	208	5	and	and	CCONJ
esrj-65185	208	6	technology	technology	NOUN
esrj-65185	208	7	education	education	NOUN
esrj-65185	208	8	,	,	PUNCT
esrj-65185	208	9	12	12	NUM
esrj-65185	208	10	(	(	PUNCT
esrj-65185	208	11	2014	2014	NUM
esrj-65185	208	12	):	):	PUNCT
esrj-65185	208	13	779	779	NUM
esrj-65185	208	14	-	-	SYM
esrj-65185	208	15	783	783	NUM
esrj-65185	208	16	.	.	PUNCT
esrj-65185	209	1	reek	reek	ADJ
esrj-65185	209	2	t.	t.	PROPN
esrj-65185	209	3	,	,	PUNCT
esrj-65185	209	4	doty	doty	PROPN
esrj-65185	209	5	s.r	s.r	PROPN
esrj-65185	209	6	.	.	PROPN
esrj-65185	209	7	,	,	PUNCT
esrj-65185	209	8	owen	owen	PROPN
esrj-65185	209	9	t.w	t.w	PROPN
esrj-65185	209	10	.	.	PROPN
esrj-65185	209	11	,	,	PUNCT
esrj-65185	209	12	“	"	PUNCT
esrj-65185	209	13	a	a	DET
esrj-65185	209	14	deterministic	deterministic	ADJ
esrj-65185	209	15	approach	approach	NOUN
esrj-65185	209	16	to	to	ADP
esrj-65185	209	17	the	the	DET
esrj-65185	209	18	validation	validation	NOUN
esrj-65185	209	19	of	of	ADP
esrj-65185	209	20	historical	historical	ADJ
esrj-65185	209	21	daily	daily	ADJ
esrj-65185	209	22	temperature	temperature	NOUN
esrj-65185	209	23	and	and	CCONJ
esrj-65185	209	24	precipitation	precipitation	NOUN
esrj-65185	209	25	data	datum	NOUN
esrj-65185	209	26	from	from	ADP
esrj-65185	209	27	the	the	DET
esrj-65185	209	28	cooperative	cooperative	ADJ
esrj-65185	209	29	network	network	NOUN
esrj-65185	209	30	.	.	PUNCT
esrj-65185	209	31	”	"	PUNCT
esrj-65185	210	1	bulletin	bulletin	NOUN
esrj-65185	210	2	of	of	ADP
esrj-65185	210	3	the	the	DET
esrj-65185	210	4	american	american	PROPN
esrj-65185	210	5	meteorological	meteorological	ADJ
esrj-65185	210	6	society	society	NOUN
esrj-65185	210	7	73	73	NUM
esrj-65185	210	8	(	(	PUNCT
esrj-65185	210	9	1992	1992	NUM
esrj-65185	210	10	):	):	PUNCT
esrj-65185	210	11	753	753	NUM
esrj-65185	210	12	-	-	SYM
esrj-65185	210	13	762	762	NUM
esrj-65185	210	14	.	.	PUNCT
esrj-65185	211	1	scornet	scornet	PROPN
esrj-65185	211	2	e.	e.	PROPN
esrj-65185	211	3	,	,	PUNCT
esrj-65185	211	4	biau	biau	PROPN
esrj-65185	211	5	g.	g.	PROPN
esrj-65185	211	6	,	,	PUNCT
esrj-65185	211	7	vert	vert	PROPN
esrj-65185	211	8	j.-p	j.-p	PROPN
esrj-65185	211	9	.	.	PUNCT
esrj-65185	211	10	,	,	PUNCT
esrj-65185	211	11	“	"	PUNCT
esrj-65185	211	12	consistency	consistency	NOUN
esrj-65185	211	13	of	of	ADP
esrj-65185	211	14	random	random	ADJ
esrj-65185	211	15	forests	forest	NOUN
esrj-65185	211	16	.	.	PUNCT
esrj-65185	211	17	”	"	PUNCT
esrj-65185	212	1	the	the	DET
esrj-65185	212	2	annals	annal	NOUN
esrj-65185	212	3	of	of	ADP
esrj-65185	212	4	statistics	statistic	NOUN
esrj-65185	212	5	43	43	NUM
esrj-65185	212	6	(	(	PUNCT
esrj-65185	212	7	2015	2015	NUM
esrj-65185	212	8	):	):	PUNCT
esrj-65185	212	9	1716	1716	NUM
esrj-65185	212	10	-	-	SYM
esrj-65185	212	11	1741	1741	NUM
esrj-65185	212	12	.	.	PUNCT
esrj-65185	213	1	shafer	shafer	PROPN
esrj-65185	213	2	,	,	PUNCT
esrj-65185	213	3	m.a	m.a	PROPN
esrj-65185	213	4	.	.	PROPN
esrj-65185	213	5	,	,	PUNCT
esrj-65185	213	6	fiebrich	fiebrich	PROPN
esrj-65185	213	7	,	,	PUNCT
esrj-65185	213	8	c.a	c.a	PROPN
esrj-65185	213	9	.	.	PROPN
esrj-65185	213	10	,	,	PUNCT
esrj-65185	213	11	arndt	arndt	PROPN
esrj-65185	213	12	,	,	PUNCT
esrj-65185	213	13	d.s	d.s	PROPN
esrj-65185	213	14	.	.	PROPN
esrj-65185	213	15	,	,	PUNCT
esrj-65185	213	16	fredrickson	fredrickson	PROPN
esrj-65185	213	17	,	,	PUNCT
esrj-65185	213	18	s.e	s.e	PROPN
esrj-65185	213	19	.	.	PROPN
esrj-65185	213	20	,	,	PUNCT
esrj-65185	213	21	hughes	hughes	PROPN
esrj-65185	213	22	,	,	PUNCT
esrj-65185	213	23	t.w	t.w	PROPN
esrj-65185	213	24	.	.	PROPN
esrj-65185	213	25	,	,	PUNCT
esrj-65185	213	26	“	"	PUNCT
esrj-65185	213	27	quality	quality	NOUN
esrj-65185	213	28	assurance	assurance	NOUN
esrj-65185	213	29	procedures	procedure	NOUN
esrj-65185	213	30	in	in	ADP
esrj-65185	213	31	the	the	DET
esrj-65185	213	32	oklahoma	oklahoma	PROPN
esrj-65185	213	33	mesonetwork	mesonetwork	PROPN
esrj-65185	213	34	.	.	PUNCT
esrj-65185	213	35	”	"	PUNCT
esrj-65185	213	36	journal	journal	NOUN
esrj-65185	213	37	of	of	ADP
esrj-65185	213	38	atmospheric	atmospheric	ADJ
esrj-65185	213	39	and	and	CCONJ
esrj-65185	213	40	oceanic	oceanic	ADJ
esrj-65185	213	41	technology	technology	NOUN
esrj-65185	213	42	17	17	NUM
esrj-65185	213	43	(	(	PUNCT
esrj-65185	213	44	2000	2000	NUM
esrj-65185	213	45	):	):	PUNCT
esrj-65185	213	46	474	474	NUM
esrj-65185	213	47	-	-	SYM
esrj-65185	213	48	494	494	NUM
esrj-65185	213	49	.	.	PUNCT
esrj-65185	214	1	shi	shi	PROPN
esrj-65185	214	2	-	-	PUNCT
esrj-65185	214	3	wei	wei	PROPN
esrj-65185	214	4	t.	t.	PROPN
esrj-65185	214	5	,	,	PUNCT
esrj-65185	214	6	qi	qi	PROPN
esrj-65185	214	7	-	-	PUNCT
esrj-65185	214	8	qin	qin	PROPN
esrj-65185	214	9	z.	z.	PROPN
esrj-65185	214	10	,	,	PUNCT
esrj-65185	214	11	zhi	zhi	PROPN
esrj-65185	214	12	-	-	PUNCT
esrj-65185	214	13	fang	fang	PROPN
esrj-65185	214	14	x.	x.	PROPN
esrj-65185	214	15	,	,	PUNCT
esrj-65185	214	16	min	min	PROPN
esrj-65185	214	17	h.	h.	PROPN
esrj-65185	214	18	“	"	PUNCT
esrj-65185	214	19	quality	quality	NOUN
esrj-65185	214	20	control	control	NOUN
esrj-65185	214	21	schemes	scheme	NOUN
esrj-65185	214	22	and	and	CCONJ
esrj-65185	214	23	its	its	PRON
esrj-65185	214	24	application	application	NOUN
esrj-65185	214	25	to	to	ADP
esrj-65185	214	26	automatic	automatic	ADJ
esrj-65185	214	27	surface	surface	NOUN
esrj-65185	214	28	weather	weather	NOUN
esrj-65185	214	29	observation	observation	NOUN
esrj-65185	214	30	system	system	NOUN
esrj-65185	214	31	.	.	PUNCT
esrj-65185	214	32	”	"	PUNCT
esrj-65185	215	1	plateau	plateau	NOUN
esrj-65185	215	2	meteorology	meteorology	NOUN
esrj-65185	215	3	(	(	PUNCT
esrj-65185	215	4	in	in	ADP
esrj-65185	215	5	chinese	chinese	ADJ
esrj-65185	215	6	)	)	PUNCT
esrj-65185	215	7	5	5	NUM
esrj-65185	215	8	(	(	PUNCT
esrj-65185	215	9	2009	2009	NUM
esrj-65185	215	10	):	):	PUNCT
esrj-65185	215	11	029	029	NUM
esrj-65185	215	12	.	.	PUNCT
esrj-65185	216	1	shlens	shlens	PROPN
esrj-65185	216	2	j.	j.	PROPN
esrj-65185	216	3	,	,	PUNCT
esrj-65185	216	4	“	"	PUNCT
esrj-65185	216	5	a	a	DET
esrj-65185	216	6	tutorial	tutorial	NOUN
esrj-65185	216	7	on	on	ADP
esrj-65185	216	8	principal	principal	ADJ
esrj-65185	216	9	component	component	NOUN
esrj-65185	216	10	analysis	analysis	NOUN
esrj-65185	216	11	.	.	PUNCT
esrj-65185	216	12	”	"	PUNCT
esrj-65185	217	1	arxiv	arxiv	PROPN
esrj-65185	217	2	preprint	preprint	NOUN
esrj-65185	217	3	arxiv	arxiv	PROPN
esrj-65185	217	4	(	(	PUNCT
esrj-65185	217	5	2014	2014	NUM
esrj-65185	217	6	):	):	PUNCT
esrj-65185	217	7	14041100	14041100	NUM
esrj-65185	217	8	.	.	PUNCT
esrj-65185	218	1	wade	wade	PROPN
esrj-65185	218	2	c.g	c.g	PROPN
esrj-65185	218	3	.	.	PROPN
esrj-65185	218	4	,	,	PUNCT
esrj-65185	218	5	“	"	PUNCT
esrj-65185	218	6	a	a	DET
esrj-65185	218	7	quality	quality	NOUN
esrj-65185	218	8	control	control	NOUN
esrj-65185	218	9	program	program	NOUN
esrj-65185	218	10	for	for	ADP
esrj-65185	218	11	surface	surface	NOUN
esrj-65185	218	12	mesometeorological	mesometeorological	ADJ
esrj-65185	218	13	data	datum	NOUN
esrj-65185	218	14	.	.	PUNCT
esrj-65185	218	15	”	"	PUNCT
esrj-65185	219	1	journal	journal	NOUN
esrj-65185	219	2	of	of	ADP
esrj-65185	219	3	atmospheric	atmospheric	ADJ
esrj-65185	219	4	and	and	CCONJ
esrj-65185	219	5	oceanic	oceanic	ADJ
esrj-65185	219	6	technology	technology	NOUN
esrj-65185	219	7	4	4	NUM
esrj-65185	219	8	(	(	PUNCT
esrj-65185	219	9	1987	1987	NUM
esrj-65185	219	10	):	):	PUNCT
esrj-65185	219	11	435	435	NUM
esrj-65185	219	12	-	-	SYM
esrj-65185	219	13	453	453	NUM
esrj-65185	219	14	.	.	PUNCT
esrj-65185	220	1	xu	xu	PROPN
esrj-65185	220	2	c.d	c.d	PROPN
esrj-65185	220	3	.	.	PROPN
esrj-65185	220	4	,	,	PUNCT
esrj-65185	221	1	wang	wang	PROPN
esrj-65185	221	2	j.f	j.f	PROPN
esrj-65185	221	3	.	.	PROPN
esrj-65185	221	4	,	,	PUNCT
esrj-65185	221	5	hu	hu	PROPN
esrj-65185	222	1	m.g	m.g	PROPN
esrj-65185	222	2	.	.	PROPN
esrj-65185	222	3	,	,	PUNCT
esrj-65185	222	4	li	li	PROPN
esrj-65185	222	5	q.x	q.x	PROPN
esrj-65185	222	6	.	.	PROPN
esrj-65185	222	7	,	,	PUNCT
esrj-65185	222	8	“	"	PUNCT
esrj-65185	222	9	estimation	estimation	NOUN
esrj-65185	222	10	of	of	ADP
esrj-65185	222	11	uncertainty	uncertainty	NOUN
esrj-65185	222	12	in	in	ADP
esrj-65185	222	13	temperature	temperature	NOUN
esrj-65185	222	14	observations	observation	NOUN
esrj-65185	222	15	made	make	VERB
esrj-65185	222	16	at	at	ADP
esrj-65185	222	17	meteorological	meteorological	ADJ
esrj-65185	222	18	stations	station	NOUN
esrj-65185	222	19	using	use	VERB
esrj-65185	222	20	a	a	DET
esrj-65185	222	21	probabilistic	probabilistic	ADJ
esrj-65185	222	22	spatiotemporal	spatiotemporal	ADJ
esrj-65185	222	23	approach	approach	NOUN
esrj-65185	222	24	*	*	PROPN
esrj-65185	222	25	.	.	PUNCT
esrj-65185	222	26	”	"	PUNCT
esrj-65185	222	27	journal	journal	NOUN
esrj-65185	222	28	of	of	ADP
esrj-65185	222	29	applied	apply	VERB
esrj-65185	222	30	meteorology	meteorology	NOUN
esrj-65185	222	31	and	and	CCONJ
esrj-65185	222	32	climatology	climatology	NOUN
esrj-65185	222	33	53	53	NUM
esrj-65185	222	34	(	(	PUNCT
esrj-65185	222	35	2014	2014	NUM
esrj-65185	222	36	):	):	PUNCT
esrj-65185	222	37	1538	1538	NUM
esrj-65185	222	38	-	-	SYM
esrj-65185	222	39	1546	1546	NUM
esrj-65185	222	40	.	.	PUNCT
esrj-65185	223	1	xu	xu	PROPN
esrj-65185	223	2	,	,	PUNCT
esrj-65185	223	3	z.	z.	PROPN
esrj-65185	223	4	,	,	PUNCT
esrj-65185	223	5	wang	wang	PROPN
esrj-65185	223	6	,	,	PUNCT
esrj-65185	223	7	y.	y.	PROPN
esrj-65185	223	8	,	,	PUNCT
esrj-65185	223	9	fan	fan	PROPN
esrj-65185	223	10	,	,	PUNCT
esrj-65185	223	11	g.	g.	PROPN
esrj-65185	223	12	,	,	PUNCT
esrj-65185	223	13	“	"	PUNCT
esrj-65185	223	14	a	a	DET
esrj-65185	223	15	two	two	NUM
esrj-65185	223	16	-	-	PUNCT
esrj-65185	223	17	stage	stage	NOUN
esrj-65185	223	18	quality	quality	NOUN
esrj-65185	223	19	control	control	NOUN
esrj-65185	223	20	method	method	NOUN
esrj-65185	223	21	for	for	ADP
esrj-65185	223	22	2	2	NUM
esrj-65185	223	23	-	-	PUNCT
esrj-65185	223	24	m	m	NOUN
esrj-65185	223	25	temperature	temperature	NOUN
esrj-65185	223	26	observations	observation	NOUN
esrj-65185	223	27	using	use	VERB
esrj-65185	223	28	biweight	biweight	ADJ
esrj-65185	223	29	means	mean	NOUN
esrj-65185	223	30	and	and	CCONJ
esrj-65185	223	31	a	a	DET
esrj-65185	223	32	progressive	progressive	ADJ
esrj-65185	223	33	eof	eof	NOUN
esrj-65185	223	34	analysis	analysis	NOUN
esrj-65185	223	35	.	.	PUNCT
esrj-65185	223	36	”	"	PUNCT
esrj-65185	224	1	monthly	monthly	ADJ
esrj-65185	224	2	weather	weather	NOUN
esrj-65185	224	3	review	review	VERB
esrj-65185	224	4	141	141	NUM
esrj-65185	224	5	(	(	PUNCT
esrj-65185	224	6	2013	2013	NUM
esrj-65185	224	7	)	)	PUNCT
esrj-65185	224	8	798	798	NUM
esrj-65185	224	9	-	-	SYM
esrj-65185	224	10	808	808	NUM
esrj-65185	224	11	.	.	PUNCT
esrj-65185	225	1	yang	yang	PROPN
esrj-65185	225	2	l.	l.	PROPN
esrj-65185	225	3	,	,	PUNCT
esrj-65185	225	4	yan	yan	PROPN
esrj-65185	225	5	h.	h.	PROPN
esrj-65185	225	6	,	,	PUNCT
esrj-65185	225	7	xu	xu	PROPN
esrj-65185	226	1	y.	y.	PROPN
esrj-65185	226	2	,	,	PUNCT
esrj-65185	226	3	lam	lam	PROPN
esrj-65185	226	4	j.c	j.c	PROPN
esrj-65185	226	5	.	.	PUNCT
esrj-65185	226	6	“	"	PUNCT
esrj-65185	226	7	residential	residential	ADJ
esrj-65185	226	8	thermal	thermal	ADJ
esrj-65185	226	9	environment	environment	NOUN
esrj-65185	226	10	in	in	ADP
esrj-65185	226	11	cold	cold	ADJ
esrj-65185	226	12	climates	climate	NOUN
esrj-65185	226	13	at	at	ADP
esrj-65185	226	14	high	high	ADJ
esrj-65185	226	15	altitudes	altitude	NOUN
esrj-65185	226	16	and	and	CCONJ
esrj-65185	226	17	building	build	VERB
esrj-65185	226	18	energy	energy	NOUN
esrj-65185	226	19	use	use	NOUN
esrj-65185	226	20	implications	implication	NOUN
esrj-65185	226	21	.	.	PUNCT
esrj-65185	226	22	”	"	PUNCT
esrj-65185	227	1	energy	energy	NOUN
esrj-65185	227	2	and	and	CCONJ
esrj-65185	227	3	buildings	building	NOUN
esrj-65185	227	4	62	62	NUM
esrj-65185	227	5	(	(	PUNCT
esrj-65185	227	6	2013	2013	NUM
esrj-65185	227	7	):	):	PUNCT
esrj-65185	227	8	139	139	NUM
esrj-65185	227	9	-	-	SYM
esrj-65185	227	10	145	145	NUM
esrj-65185	227	11	.	.	PUNCT
esrj-65185	228	1	you	you	PRON
esrj-65185	228	2	l.k	l.k	PROPN
esrj-65185	228	3	.	.	PROPN
esrj-65185	228	4	,	,	PUNCT
esrj-65185	228	5	rahim	rahim	PROPN
esrj-65185	228	6	i.a	i.a	PROPN
esrj-65185	228	7	.	.	PROPN
esrj-65185	228	8	,	,	PUNCT
esrj-65185	228	9	“	"	PUNCT
esrj-65185	228	10	application	application	NOUN
esrj-65185	228	11	of	of	ADP
esrj-65185	228	12	gsi	gsi	PROPN
esrj-65185	228	13	system	system	NOUN
esrj-65185	228	14	for	for	ADP
esrj-65185	228	15	slope	slope	NOUN
esrj-65185	228	16	stability	stability	NOUN
esrj-65185	228	17	studies	study	NOUN
esrj-65185	228	18	on	on	ADP
esrj-65185	228	19	selected	select	VERB
esrj-65185	228	20	slopes	slope	NOUN
esrj-65185	228	21	of	of	ADP
esrj-65185	228	22	the	the	DET
esrj-65185	228	23	crocker	crocker	PROPN
esrj-65185	228	24	formation	formation	NOUN
esrj-65185	228	25	in	in	ADP
esrj-65185	228	26	kota	kota	PROPN
esrj-65185	228	27	kinabalu	kinabalu	PROPN
esrj-65185	228	28	area	area	PROPN
esrj-65185	228	29	,	,	PUNCT
esrj-65185	228	30	sabah	sabah	PROPN
esrj-65185	228	31	.	.	PUNCT
esrj-65185	228	32	”	"	PUNCT
esrj-65185	229	1	geological	geological	ADJ
esrj-65185	229	2	behavior	behavior	NOUN
esrj-65185	229	3	1	1	NUM
esrj-65185	229	4	(	(	PUNCT
esrj-65185	229	5	2017	2017	NUM
esrj-65185	229	6	):	):	PUNCT
esrj-65185	229	7	10	10	NUM
esrj-65185	229	8	-	-	SYM
esrj-65185	229	9	12	12	NUM
esrj-65185	229	10	.	.	PUNCT
esrj-65185	230	1	zheng	zheng	PROPN
esrj-65185	230	2	j.	j.	PROPN
esrj-65185	230	3	,	,	PUNCT
esrj-65185	230	4	yin	yin	PROPN
esrj-65185	230	5	y.	y.	PROPN
esrj-65185	230	6	,	,	PUNCT
esrj-65185	230	7	li	li	PROPN
esrj-65185	230	8	b.	b.	PROPN
esrj-65185	230	9	,	,	PUNCT
esrj-65185	230	10	“	"	PUNCT
esrj-65185	230	11	a	a	DET
esrj-65185	230	12	new	new	ADJ
esrj-65185	230	13	scheme	scheme	NOUN
esrj-65185	230	14	for	for	ADP
esrj-65185	230	15	climate	climate	NOUN
esrj-65185	230	16	regionalization	regionalization	NOUN
esrj-65185	230	17	in	in	ADP
esrj-65185	230	18	china	china	PROPN
esrj-65185	230	19	.	.	PUNCT
esrj-65185	230	20	”	"	PUNCT
esrj-65185	231	1	acta	acta	PROPN
esrj-65185	231	2	geographica	geographica	PROPN
esrj-65185	231	3	sinica	sinica	PROPN
esrj-65185	231	4	(	(	PUNCT
esrj-65185	231	5	in	in	ADP
esrj-65185	231	6	chinese	chinese	PROPN
esrj-65185	231	7	)	)	PUNCT
esrj-65185	231	8	65	65	NUM
esrj-65185	231	9	(	(	PUNCT
esrj-65185	231	10	2010	2010	NUM
esrj-65185	231	11	):	):	PUNCT
esrj-65185	231	12	3	3	NUM
esrj-65185	231	13	-	-	SYM
esrj-65185	231	14	12	12	NUM