id	sid	tid	token	lemma	pos
ajst-11777	1	1	academic	academic	ADJ
ajst-11777	1	2	journal	journal	NOUN
ajst-11777	1	3	of	of	ADP
ajst-11777	1	4	science	science	NOUN
ajst-11777	1	5	and	and	CCONJ
ajst-11777	1	6	technology	technology	NOUN
ajst-11777	1	7	issn	issn	NOUN
ajst-11777	1	8	:	:	PUNCT
ajst-11777	1	9	2771	2771	NUM
ajst-11777	1	10	-	-	SYM
ajst-11777	1	11	3032	3032	NUM
ajst-11777	1	12	|	|	NOUN
ajst-11777	1	13	vol	vol	NOUN
ajst-11777	1	14	.	.	PROPN
ajst-11777	2	1	7	7	NUM
ajst-11777	2	2	,	,	PUNCT
ajst-11777	2	3	no	no	INTJ
ajst-11777	2	4	.	.	NOUN
ajst-11777	2	5	2	2	NUM
ajst-11777	2	6	,	,	PUNCT
ajst-11777	2	7	2023	2023	NUM
ajst-11777	2	8	61	61	NUM
ajst-11777	2	9	application	application	NOUN
ajst-11777	2	10	of	of	ADP
ajst-11777	2	11	multivariate	multivariate	NOUN
ajst-11777	2	12	modelling	modelling	NOUN
ajst-11777	2	13	to	to	ADP
ajst-11777	2	14	global	global	ADJ
ajst-11777	2	15	warming	warming	NOUN
ajst-11777	2	16	projections	projection	NOUN
ajst-11777	2	17	zhaorui	zhaorui	PROPN
ajst-11777	2	18	liu1	liu1	PROPN
ajst-11777	2	19	,	,	PUNCT
ajst-11777	2	20	meiling	meile	VERB
ajst-11777	2	21	cui1	cui1	PROPN
ajst-11777	2	22	,	,	PUNCT
ajst-11777	2	23	#	#	SYM
ajst-11777	2	24	,	,	PUNCT
ajst-11777	2	25	shuai	shuai	PROPN
ajst-11777	2	26	sun2	sun2	PROPN
ajst-11777	2	27	,	,	PUNCT
ajst-11777	2	28	#	#	PROPN
ajst-11777	2	29	,	,	PUNCT
ajst-11777	2	30	qiang	qiang	PROPN
ajst-11777	2	31	wang3	wang3	PROPN
ajst-11777	2	32	,	,	PUNCT
ajst-11777	2	33	#	#	X
ajst-11777	2	34	,	,	PUNCT
ajst-11777	2	35	wenjing	wenje	VERB
ajst-11777	2	36	yang1	yang1	NOUN
ajst-11777	2	37	,	,	PUNCT
ajst-11777	2	38	#	#	X
ajst-11777	2	39	,	,	PUNCT
ajst-11777	2	40	ruizhen	ruizhen	ADJ
ajst-11777	2	41	li1	li1	NOUN
ajst-11777	2	42	,	,	PUNCT
ajst-11777	2	43	#	#	ADV
ajst-11777	2	44	,	,	PUNCT
ajst-11777	2	45	xiucheng	xiucheng	PROPN
ajst-11777	2	46	yue1	yue1	PROPN
ajst-11777	2	47	,	,	PUNCT
ajst-11777	2	48	#	#	NOUN
ajst-11777	2	49	1school	1school	NUM
ajst-11777	2	50	of	of	ADP
ajst-11777	2	51	economics	economic	NOUN
ajst-11777	2	52	,	,	PUNCT
ajst-11777	2	53	qingdao	qingdao	PROPN
ajst-11777	2	54	university	university	PROPN
ajst-11777	2	55	,	,	PUNCT
ajst-11777	2	56	qingdao	qingdao	PROPN
ajst-11777	2	57	,	,	PUNCT
ajst-11777	2	58	shandong	shandong	PROPN
ajst-11777	2	59	province	province	PROPN
ajst-11777	2	60	,	,	PUNCT
ajst-11777	2	61	266061	266061	NUM
ajst-11777	2	62	,	,	PUNCT
ajst-11777	2	63	china	china	PROPN
ajst-11777	2	64	2college	2college	PROPN
ajst-11777	2	65	of	of	ADP
ajst-11777	2	66	electronics	electronic	NOUN
ajst-11777	2	67	and	and	CCONJ
ajst-11777	2	68	information	information	NOUN
ajst-11777	2	69	,	,	PUNCT
ajst-11777	2	70	qingdao	qingdao	PROPN
ajst-11777	2	71	university	university	PROPN
ajst-11777	2	72	,	,	PUNCT
ajst-11777	2	73	qingdao	qingdao	PROPN
ajst-11777	2	74	,	,	PUNCT
ajst-11777	2	75	shandong	shandong	PROPN
ajst-11777	2	76	province	province	PROPN
ajst-11777	2	77	,	,	PUNCT
ajst-11777	2	78	266075	266075	NUM
ajst-11777	2	79	,	,	PUNCT
ajst-11777	2	80	china	china	PROPN
ajst-11777	2	81	3school	3school	NUM
ajst-11777	2	82	of	of	ADP
ajst-11777	2	83	mathematics	mathematic	NOUN
ajst-11777	2	84	and	and	CCONJ
ajst-11777	2	85	statistics	statistic	NOUN
ajst-11777	2	86	,	,	PUNCT
ajst-11777	2	87	qingdao	qingdao	PROPN
ajst-11777	2	88	university	university	PROPN
ajst-11777	2	89	,	,	PUNCT
ajst-11777	2	90	qingdao	qingdao	PROPN
ajst-11777	2	91	,	,	PUNCT
ajst-11777	2	92	shandong	shandong	PROPN
ajst-11777	2	93	province	province	PROPN
ajst-11777	2	94	,	,	PUNCT
ajst-11777	2	95	266071	266071	NUM
ajst-11777	2	96	,	,	PUNCT
ajst-11777	2	97	china	china	PROPN
ajst-11777	2	98	#	#	PROPN
ajst-11777	2	99	these	these	DET
ajst-11777	2	100	authors	author	NOUN
ajst-11777	2	101	contributed	contribute	VERB
ajst-11777	2	102	equally	equally	ADV
ajst-11777	2	103	.	.	PUNCT
ajst-11777	3	1	abstract	abstract	ADJ
ajst-11777	3	2	:	:	PUNCT
ajst-11777	3	3	global	global	ADJ
ajst-11777	3	4	warming	warming	NOUN
ajst-11777	3	5	is	be	AUX
ajst-11777	3	6	a	a	DET
ajst-11777	3	7	natural	natural	ADJ
ajst-11777	3	8	phenomenon	phenomenon	NOUN
ajst-11777	3	9	in	in	ADP
ajst-11777	3	10	which	which	PRON
ajst-11777	3	11	the	the	DET
ajst-11777	3	12	accumulation	accumulation	NOUN
ajst-11777	3	13	of	of	ADP
ajst-11777	3	14	energy	energy	NOUN
ajst-11777	3	15	in	in	ADP
ajst-11777	3	16	the	the	DET
ajst-11777	3	17	earth	earth	NOUN
ajst-11777	3	18	's	's	PART
ajst-11777	3	19	atmospheric	atmospheric	ADJ
ajst-11777	3	20	system	system	NOUN
ajst-11777	3	21	leads	lead	VERB
ajst-11777	3	22	to	to	ADP
ajst-11777	3	23	an	an	DET
ajst-11777	3	24	increase	increase	NOUN
ajst-11777	3	25	in	in	ADP
ajst-11777	3	26	temperature	temperature	NOUN
ajst-11777	3	27	.	.	PUNCT
ajst-11777	4	1	to	to	PART
ajst-11777	4	2	build	build	VERB
ajst-11777	4	3	the	the	DET
ajst-11777	4	4	model	model	NOUN
ajst-11777	4	5	,	,	PUNCT
ajst-11777	4	6	we	we	PRON
ajst-11777	4	7	collected	collect	VERB
ajst-11777	4	8	multiple	multiple	ADJ
ajst-11777	4	9	datasets	dataset	NOUN
ajst-11777	4	10	from	from	ADP
ajst-11777	4	11	the	the	DET
ajst-11777	4	12	20th	20th	ADJ
ajst-11777	4	13	century	century	NOUN
ajst-11777	4	14	:	:	PUNCT
ajst-11777	4	15	average	average	ADJ
ajst-11777	4	16	annual	annual	ADJ
ajst-11777	4	17	global	global	ADJ
ajst-11777	4	18	temperatures	temperature	NOUN
ajst-11777	4	19	,	,	PUNCT
ajst-11777	4	20	average	average	ADJ
ajst-11777	4	21	monthly	monthly	ADJ
ajst-11777	4	22	temperatures	temperature	NOUN
ajst-11777	4	23	at	at	ADP
ajst-11777	4	24	different	different	ADJ
ajst-11777	4	25	latitudes	latitude	NOUN
ajst-11777	4	26	,	,	PUNCT
ajst-11777	4	27	global	global	ADJ
ajst-11777	4	28	losses	loss	NOUN
ajst-11777	4	29	from	from	ADP
ajst-11777	4	30	various	various	ADJ
ajst-11777	4	31	natural	natural	ADJ
ajst-11777	4	32	disasters	disaster	NOUN
ajst-11777	4	33	,	,	PUNCT
ajst-11777	4	34	global	global	ADJ
ajst-11777	4	35	emissions	emission	NOUN
ajst-11777	4	36	of	of	ADP
ajst-11777	4	37	various	various	ADJ
ajst-11777	4	38	chemicals	chemical	NOUN
ajst-11777	4	39	,	,	PUNCT
ajst-11777	4	40	and	and	CCONJ
ajst-11777	4	41	population	population	NOUN
ajst-11777	4	42	.	.	PUNCT
ajst-11777	5	1	we	we	PRON
ajst-11777	5	2	then	then	ADV
ajst-11777	5	3	pre	pre	VERB
ajst-11777	5	4	-	-	ADJ
ajst-11777	5	5	processed	processed	ADJ
ajst-11777	5	6	and	and	CCONJ
ajst-11777	5	7	visualized	visualize	VERB
ajst-11777	5	8	the	the	DET
ajst-11777	5	9	data	datum	NOUN
ajst-11777	5	10	.	.	PUNCT
ajst-11777	6	1	in	in	ADP
ajst-11777	6	2	our	our	PRON
ajst-11777	6	3	quantitative	quantitative	ADJ
ajst-11777	6	4	analysis	analysis	NOUN
ajst-11777	6	5	,	,	PUNCT
ajst-11777	6	6	we	we	PRON
ajst-11777	6	7	found	find	VERB
ajst-11777	6	8	that	that	SCONJ
ajst-11777	6	9	the	the	DET
ajst-11777	6	10	increase	increase	NOUN
ajst-11777	6	11	in	in	ADP
ajst-11777	6	12	global	global	ADJ
ajst-11777	6	13	temperature	temperature	NOUN
ajst-11777	6	14	in	in	ADP
ajst-11777	6	15	march	march	PROPN
ajst-11777	6	16	2022	2022	NUM
ajst-11777	6	17	did	do	AUX
ajst-11777	6	18	not	not	PART
ajst-11777	6	19	exceed	exceed	VERB
ajst-11777	6	20	the	the	DET
ajst-11777	6	21	increase	increase	NOUN
ajst-11777	6	22	in	in	ADP
ajst-11777	6	23	the	the	DET
ajst-11777	6	24	past	past	ADJ
ajst-11777	6	25	10	10	NUM
ajst-11777	6	26	years	year	NOUN
ajst-11777	6	27	.	.	PUNCT
ajst-11777	7	1	we	we	PRON
ajst-11777	7	2	then	then	ADV
ajst-11777	7	3	developed	develop	VERB
ajst-11777	7	4	three	three	NUM
ajst-11777	7	5	models	model	NOUN
ajst-11777	7	6	to	to	PART
ajst-11777	7	7	describe	describe	VERB
ajst-11777	7	8	past	past	NOUN
ajst-11777	7	9	and	and	CCONJ
ajst-11777	7	10	project	project	VERB
ajst-11777	7	11	future	future	ADJ
ajst-11777	7	12	global	global	ADJ
ajst-11777	7	13	temperature	temperature	NOUN
ajst-11777	7	14	levels	level	NOUN
ajst-11777	7	15	:	:	PUNCT
ajst-11777	7	16	the	the	DET
ajst-11777	7	17	gm(1,1	gm(1,1	PROPN
ajst-11777	7	18	)	)	PUNCT
ajst-11777	7	19	model	model	NOUN
ajst-11777	7	20	,	,	PUNCT
ajst-11777	7	21	the	the	DET
ajst-11777	7	22	arima(0,1,1	arima(0,1,1	NOUN
ajst-11777	7	23	)	)	PUNCT
ajst-11777	7	24	model	model	NOUN
ajst-11777	7	25	,	,	PUNCT
ajst-11777	7	26	and	and	CCONJ
ajst-11777	7	27	the	the	DET
ajst-11777	7	28	holt	holt	PROPN
ajst-11777	7	29	model	model	NOUN
ajst-11777	7	30	.	.	PUNCT
ajst-11777	8	1	by	by	ADP
ajst-11777	8	2	primarily	primarily	ADV
ajst-11777	8	3	comparing	compare	VERB
ajst-11777	8	4	the	the	DET
ajst-11777	8	5	fit	fit	NOUN
ajst-11777	8	6	of	of	ADP
ajst-11777	8	7	the	the	DET
ajst-11777	8	8	three	three	NUM
ajst-11777	8	9	models	model	NOUN
ajst-11777	8	10	,	,	PUNCT
ajst-11777	8	11	we	we	PRON
ajst-11777	8	12	concluded	conclude	VERB
ajst-11777	8	13	that	that	SCONJ
ajst-11777	8	14	the	the	DET
ajst-11777	8	15	holt	holt	PROPN
ajst-11777	8	16	model	model	NOUN
ajst-11777	8	17	has	have	VERB
ajst-11777	8	18	the	the	DET
ajst-11777	8	19	highest	high	ADJ
ajst-11777	8	20	prediction	prediction	NOUN
ajst-11777	8	21	accuracy	accuracy	NOUN
ajst-11777	8	22	.	.	PUNCT
ajst-11777	9	1	we	we	PRON
ajst-11777	9	2	found	find	VERB
ajst-11777	9	3	that	that	SCONJ
ajst-11777	9	4	the	the	DET
ajst-11777	9	5	relationship	relationship	NOUN
ajst-11777	9	6	between	between	ADP
ajst-11777	9	7	time	time	NOUN
ajst-11777	9	8	and	and	CCONJ
ajst-11777	9	9	global	global	ADJ
ajst-11777	9	10	temperature	temperature	NOUN
ajst-11777	9	11	.	.	PUNCT
ajst-11777	10	1	keywords	keyword	NOUN
ajst-11777	10	2	:	:	PUNCT
ajst-11777	10	3	arima	arima	PROPN
ajst-11777	10	4	,	,	PUNCT
ajst-11777	10	5	gm(1,1	gm(1,1	PROPN
ajst-11777	10	6	)	)	PUNCT
ajst-11777	10	7	,	,	PUNCT
ajst-11777	10	8	holt	holt	PROPN
ajst-11777	10	9	model	model	NOUN
ajst-11777	10	10	,	,	PUNCT
ajst-11777	10	11	prediction	prediction	NOUN
ajst-11777	10	12	.	.	PUNCT
ajst-11777	11	1	1	1	X
ajst-11777	11	2	.	.	X
ajst-11777	11	3	introduction	introduction	NOUN
ajst-11777	11	4	since	since	SCONJ
ajst-11777	11	5	the	the	DET
ajst-11777	11	6	industrial	industrial	ADJ
ajst-11777	11	7	revolution	revolution	NOUN
ajst-11777	11	8	,	,	PUNCT
ajst-11777	11	9	the	the	DET
ajst-11777	11	10	"	"	PUNCT
ajst-11777	11	11	greenhouse	greenhouse	NOUN
ajst-11777	11	12	effect	effect	NOUN
ajst-11777	11	13	"	"	PUNCT
ajst-11777	11	14	has	have	AUX
ajst-11777	11	15	begun	begin	VERB
ajst-11777	11	16	to	to	PART
ajst-11777	11	17	take	take	VERB
ajst-11777	11	18	shape	shape	NOUN
ajst-11777	11	19	with	with	ADP
ajst-11777	11	20	the	the	DET
ajst-11777	11	21	acceleration	acceleration	NOUN
ajst-11777	11	22	of	of	ADP
ajst-11777	11	23	industrialization	industrialization	NOUN
ajst-11777	11	24	and	and	CCONJ
ajst-11777	11	25	the	the	DET
ajst-11777	11	26	increasing	increase	VERB
ajst-11777	11	27	carbon	carbon	NOUN
ajst-11777	11	28	emissions	emission	NOUN
ajst-11777	11	29	generated	generate	VERB
ajst-11777	11	30	by	by	ADP
ajst-11777	11	31	human	human	ADJ
ajst-11777	11	32	production	production	NOUN
ajst-11777	11	33	activities	activity	NOUN
ajst-11777	11	34	.	.	PUNCT
ajst-11777	12	1	after	after	ADP
ajst-11777	12	2	a	a	DET
ajst-11777	12	3	short	short	ADJ
ajst-11777	12	4	respite	respite	NOUN
ajst-11777	12	5	from	from	ADP
ajst-11777	12	6	global	global	ADJ
ajst-11777	12	7	warming	warming	NOUN
ajst-11777	12	8	,	,	PUNCT
ajst-11777	12	9	the	the	DET
ajst-11777	12	10	large	large	ADJ
ajst-11777	12	11	-	-	PUNCT
ajst-11777	12	12	scale	scale	NOUN
ajst-11777	12	13	use	use	NOUN
ajst-11777	12	14	of	of	ADP
ajst-11777	12	15	fossil	fossil	ADJ
ajst-11777	12	16	fuels	fuel	NOUN
ajst-11777	12	17	such	such	ADJ
ajst-11777	12	18	as	as	ADP
ajst-11777	12	19	oil	oil	NOUN
ajst-11777	12	20	and	and	CCONJ
ajst-11777	12	21	coal	coal	NOUN
ajst-11777	12	22	in	in	ADP
ajst-11777	12	23	the	the	DET
ajst-11777	12	24	early	early	ADJ
ajst-11777	12	25	1960s	1960	NOUN
ajst-11777	12	26	accelerated	accelerate	VERB
ajst-11777	12	27	the	the	DET
ajst-11777	12	28	pace	pace	NOUN
ajst-11777	12	29	of	of	ADP
ajst-11777	12	30	global	global	ADJ
ajst-11777	12	31	warming	warming	NOUN
ajst-11777	12	32	.	.	PUNCT
ajst-11777	13	1	it	it	PRON
ajst-11777	13	2	is	be	AUX
ajst-11777	13	3	widely	widely	ADV
ajst-11777	13	4	recognized	recognize	VERB
ajst-11777	13	5	in	in	ADP
ajst-11777	13	6	the	the	DET
ajst-11777	13	7	scientific	scientific	ADJ
ajst-11777	13	8	community	community	NOUN
ajst-11777	13	9	that	that	SCONJ
ajst-11777	13	10	the	the	DET
ajst-11777	13	11	cause	cause	NOUN
ajst-11777	13	12	of	of	ADP
ajst-11777	13	13	global	global	ADJ
ajst-11777	13	14	warming	warming	NOUN
ajst-11777	13	15	is	be	AUX
ajst-11777	13	16	the	the	DET
ajst-11777	13	17	increasing	increase	VERB
ajst-11777	13	18	levels	level	NOUN
ajst-11777	13	19	of	of	ADP
ajst-11777	13	20	carbon	carbon	NOUN
ajst-11777	13	21	dioxide	dioxide	NOUN
ajst-11777	13	22	and	and	CCONJ
ajst-11777	13	23	other	other	ADJ
ajst-11777	13	24	greenhouse	greenhouse	NOUN
ajst-11777	13	25	gases	gas	NOUN
ajst-11777	13	26	in	in	ADP
ajst-11777	13	27	the	the	DET
ajst-11777	13	28	earth	earth	NOUN
ajst-11777	13	29	's	's	PART
ajst-11777	13	30	atmosphere	atmosphere	NOUN
ajst-11777	13	31	.	.	PUNCT
ajst-11777	14	1	these	these	DET
ajst-11777	14	2	greenhouse	greenhouse	NOUN
ajst-11777	14	3	gases	gas	NOUN
ajst-11777	14	4	are	be	AUX
ajst-11777	14	5	highly	highly	ADV
ajst-11777	14	6	permeable	permeable	ADJ
ajst-11777	14	7	to	to	PART
ajst-11777	14	8	visible	visible	ADJ
ajst-11777	14	9	light	light	NOUN
ajst-11777	14	10	from	from	ADP
ajst-11777	14	11	the	the	DET
ajst-11777	14	12	sun	sun	NOUN
ajst-11777	14	13	,	,	PUNCT
ajst-11777	14	14	which	which	PRON
ajst-11777	14	15	strongly	strongly	ADV
ajst-11777	14	16	absorbs	absorb	VERB
ajst-11777	14	17	long	long	ADJ
ajst-11777	14	18	-	-	PUNCT
ajst-11777	14	19	wave	wave	NOUN
ajst-11777	14	20	radiation	radiation	NOUN
ajst-11777	14	21	infrared	infrare	VERB
ajst-11777	14	22	rays	ray	NOUN
ajst-11777	14	23	from	from	ADP
ajst-11777	14	24	the	the	DET
ajst-11777	14	25	ground	ground	NOUN
ajst-11777	14	26	,	,	PUNCT
ajst-11777	14	27	thus	thus	ADV
ajst-11777	14	28	raising	raise	VERB
ajst-11777	14	29	the	the	DET
ajst-11777	14	30	temperature	temperature	NOUN
ajst-11777	14	31	of	of	ADP
ajst-11777	14	32	the	the	DET
ajst-11777	14	33	earth	earth	NOUN
ajst-11777	14	34	,	,	PUNCT
ajst-11777	14	35	which	which	PRON
ajst-11777	14	36	is	be	AUX
ajst-11777	14	37	known	know	VERB
ajst-11777	14	38	as	as	ADP
ajst-11777	14	39	the	the	DET
ajst-11777	14	40	"	"	PUNCT
ajst-11777	14	41	greenhouse	greenhouse	NOUN
ajst-11777	14	42	effect	effect	NOUN
ajst-11777	14	43	"	"	PUNCT
ajst-11777	14	44	.	.	PUNCT
ajst-11777	15	1	the	the	DET
ajst-11777	15	2	"	"	PUNCT
ajst-11777	15	3	greenhouse	greenhouse	NOUN
ajst-11777	15	4	effect	effect	NOUN
ajst-11777	15	5	"	"	PUNCT
ajst-11777	15	6	causes	cause	VERB
ajst-11777	15	7	an	an	DET
ajst-11777	15	8	imbalance	imbalance	NOUN
ajst-11777	15	9	in	in	ADP
ajst-11777	15	10	the	the	DET
ajst-11777	15	11	amount	amount	NOUN
ajst-11777	15	12	of	of	ADP
ajst-11777	15	13	energy	energy	NOUN
ajst-11777	15	14	absorbed	absorb	VERB
ajst-11777	15	15	and	and	CCONJ
ajst-11777	15	16	released	release	VERB
ajst-11777	15	17	by	by	ADP
ajst-11777	15	18	the	the	DET
ajst-11777	15	19	earth	earth	NOUN
ajst-11777	15	20	's	's	PART
ajst-11777	15	21	atmospheric	atmospheric	ADJ
ajst-11777	15	22	system	system	NOUN
ajst-11777	15	23	.	.	PUNCT
ajst-11777	16	1	in	in	ADP
ajst-11777	16	2	the	the	DET
ajst-11777	16	3	face	face	NOUN
ajst-11777	16	4	of	of	ADP
ajst-11777	16	5	global	global	ADJ
ajst-11777	16	6	warming	warming	NOUN
ajst-11777	16	7	,	,	PUNCT
ajst-11777	16	8	human	human	ADJ
ajst-11777	16	9	beings	being	NOUN
ajst-11777	16	10	must	must	AUX
ajst-11777	16	11	reflect	reflect	VERB
ajst-11777	16	12	on	on	ADP
ajst-11777	16	13	their	their	PRON
ajst-11777	16	14	lifestyles	lifestyle	NOUN
ajst-11777	16	15	and	and	CCONJ
ajst-11777	16	16	living	living	NOUN
ajst-11777	16	17	habits	habit	NOUN
ajst-11777	16	18	and	and	CCONJ
ajst-11777	16	19	actively	actively	ADV
ajst-11777	16	20	take	take	VERB
ajst-11777	16	21	corresponding	corresponding	ADJ
ajst-11777	16	22	measures	measure	NOUN
ajst-11777	16	23	to	to	PART
ajst-11777	16	24	cope	cope	VERB
ajst-11777	16	25	with	with	ADP
ajst-11777	16	26	the	the	DET
ajst-11777	16	27	changes	change	NOUN
ajst-11777	16	28	in	in	ADP
ajst-11777	16	29	climate	climate	NOUN
ajst-11777	16	30	and	and	CCONJ
ajst-11777	16	31	environment	environment	NOUN
ajst-11777	16	32	.	.	PUNCT
ajst-11777	17	1	in	in	ADP
ajst-11777	17	2	recent	recent	ADJ
ajst-11777	17	3	decades	decade	NOUN
ajst-11777	17	4	,	,	PUNCT
ajst-11777	17	5	global	global	ADJ
ajst-11777	17	6	warming	warming	NOUN
ajst-11777	17	7	has	have	AUX
ajst-11777	17	8	seriously	seriously	ADV
ajst-11777	17	9	affected	affect	VERB
ajst-11777	17	10	people	people	NOUN
ajst-11777	17	11	's	's	PART
ajst-11777	17	12	life	life	NOUN
ajst-11777	17	13	and	and	CCONJ
ajst-11777	17	14	production	production	NOUN
ajst-11777	18	1	[	[	X
ajst-11777	18	2	1	1	NUM
ajst-11777	18	3	]	]	PUNCT
ajst-11777	18	4	,	,	PUNCT
ajst-11777	18	5	and	and	CCONJ
ajst-11777	18	6	the	the	DET
ajst-11777	18	7	issue	issue	NOUN
ajst-11777	18	8	of	of	ADP
ajst-11777	18	9	climate	climate	NOUN
ajst-11777	18	10	and	and	CCONJ
ajst-11777	18	11	climate	climate	NOUN
ajst-11777	18	12	change	change	NOUN
ajst-11777	18	13	has	have	AUX
ajst-11777	18	14	become	become	VERB
ajst-11777	18	15	one	one	NUM
ajst-11777	18	16	of	of	ADP
ajst-11777	18	17	the	the	DET
ajst-11777	18	18	core	core	NOUN
ajst-11777	18	19	issues	issue	NOUN
ajst-11777	18	20	affecting	affect	VERB
ajst-11777	18	21	the	the	DET
ajst-11777	18	22	sustainable	sustainable	ADJ
ajst-11777	18	23	development	development	NOUN
ajst-11777	18	24	of	of	ADP
ajst-11777	18	25	countries	country	NOUN
ajst-11777	18	26	[	[	X
ajst-11777	18	27	2	2	NUM
ajst-11777	18	28	]	]	PUNCT
ajst-11777	18	29	.	.	PUNCT
ajst-11777	19	1	more	more	ADJ
ajst-11777	19	2	than	than	ADP
ajst-11777	19	3	a	a	DET
ajst-11777	19	4	hundred	hundred	NUM
ajst-11777	19	5	years	year	NOUN
ajst-11777	19	6	ago	ago	ADV
ajst-11777	19	7	,	,	PUNCT
ajst-11777	19	8	mathematician	mathematician	ADJ
ajst-11777	19	9	fourier	fourier	NOUN
ajst-11777	19	10	proposed	propose	VERB
ajst-11777	19	11	that	that	SCONJ
ajst-11777	19	12	the	the	DET
ajst-11777	19	13	earth	earth	NOUN
ajst-11777	19	14	's	's	PART
ajst-11777	19	15	atmosphere	atmosphere	NOUN
ajst-11777	19	16	has	have	VERB
ajst-11777	19	17	a	a	DET
ajst-11777	19	18	"	"	PUNCT
ajst-11777	19	19	greenhouse	greenhouse	NOUN
ajst-11777	19	20	effect	effect	NOUN
ajst-11777	19	21	"	"	PUNCT
ajst-11777	20	1	[	[	X
ajst-11777	20	2	3	3	NUM
ajst-11777	20	3	]	]	PUNCT
ajst-11777	20	4	,	,	PUNCT
ajst-11777	20	5	and	and	CCONJ
ajst-11777	20	6	the	the	DET
ajst-11777	20	7	surface	surface	NOUN
ajst-11777	20	8	temperature	temperature	NOUN
ajst-11777	20	9	is	be	AUX
ajst-11777	20	10	determined	determine	VERB
ajst-11777	20	11	by	by	ADP
ajst-11777	20	12	the	the	DET
ajst-11777	20	13	balance	balance	NOUN
ajst-11777	20	14	between	between	ADP
ajst-11777	20	15	receiving	receive	VERB
ajst-11777	20	16	external	external	ADJ
ajst-11777	20	17	energy	energy	NOUN
ajst-11777	20	18	and	and	CCONJ
ajst-11777	20	19	losing	lose	VERB
ajst-11777	20	20	external	external	ADJ
ajst-11777	20	21	energy	energy	NOUN
ajst-11777	21	1	[	[	X
ajst-11777	21	2	4	4	NUM
ajst-11777	21	3	]	]	PUNCT
ajst-11777	21	4	and	and	CCONJ
ajst-11777	21	5	hu	hu	PROPN
ajst-11777	22	1	[	[	X
ajst-11777	22	2	5	5	NUM
ajst-11777	22	3	]	]	PUNCT
ajst-11777	22	4	believed	believe	VERB
ajst-11777	22	5	that	that	SCONJ
ajst-11777	22	6	climate	climate	NOUN
ajst-11777	22	7	change	change	NOUN
ajst-11777	22	8	is	be	AUX
ajst-11777	22	9	affected	affect	VERB
ajst-11777	22	10	by	by	ADP
ajst-11777	22	11	a	a	DET
ajst-11777	22	12	variety	variety	NOUN
ajst-11777	22	13	of	of	ADP
ajst-11777	22	14	factors	factor	NOUN
ajst-11777	22	15	,	,	PUNCT
ajst-11777	22	16	including	include	VERB
ajst-11777	22	17	the	the	DET
ajst-11777	22	18	earth	earth	NOUN
ajst-11777	22	19	's	's	PART
ajst-11777	22	20	heat	heat	NOUN
ajst-11777	22	21	uptake	uptake	NOUN
ajst-11777	22	22	and	and	CCONJ
ajst-11777	22	23	exothermicity	exothermicity	NOUN
ajst-11777	22	24	,	,	PUNCT
ajst-11777	22	25	the	the	DET
ajst-11777	22	26	surface	surface	NOUN
ajst-11777	22	27	temperature	temperature	NOUN
ajst-11777	22	28	of	of	ADP
ajst-11777	22	29	the	the	DET
ajst-11777	22	30	oceans	ocean	NOUN
ajst-11777	22	31	,	,	PUNCT
ajst-11777	22	32	the	the	DET
ajst-11777	22	33	concentration	concentration	NOUN
ajst-11777	22	34	of	of	ADP
ajst-11777	22	35	carbon	carbon	NOUN
ajst-11777	22	36	dioxide	dioxide	NOUN
ajst-11777	22	37	,	,	PUNCT
ajst-11777	22	38	the	the	DET
ajst-11777	22	39	vegetation	vegetation	NOUN
ajst-11777	22	40	on	on	ADP
ajst-11777	22	41	the	the	DET
ajst-11777	22	42	earth	earth	NOUN
ajst-11777	22	43	's	's	PART
ajst-11777	22	44	surface	surface	NOUN
ajst-11777	22	45	,	,	PUNCT
ajst-11777	22	46	and	and	CCONJ
ajst-11777	22	47	human	human	ADJ
ajst-11777	22	48	activities	activity	NOUN
ajst-11777	22	49	,	,	PUNCT
ajst-11777	22	50	and	and	CCONJ
ajst-11777	22	51	therefore	therefore	ADV
ajst-11777	22	52	constructed	construct	VERB
ajst-11777	22	53	a	a	DET
ajst-11777	22	54	multivariate	multivariate	NOUN
ajst-11777	22	55	regression	regression	NOUN
ajst-11777	22	56	model	model	NOUN
ajst-11777	22	57	to	to	PART
ajst-11777	22	58	analyse	analyse	VERB
ajst-11777	22	59	global	global	ADJ
ajst-11777	22	60	warming	warming	NOUN
ajst-11777	22	61	;	;	PUNCT
ajst-11777	22	62	in	in	ADP
ajst-11777	22	63	order	order	NOUN
ajst-11777	22	64	to	to	PART
ajst-11777	22	65	better	well	ADV
ajst-11777	22	66	present	present	VERB
ajst-11777	22	67	the	the	DET
ajst-11777	22	68	prediction	prediction	NOUN
ajst-11777	22	69	of	of	ADP
ajst-11777	22	70	climate	climate	NOUN
ajst-11777	22	71	change	change	NOUN
ajst-11777	22	72	trends	trend	NOUN
ajst-11777	22	73	,	,	PUNCT
ajst-11777	22	74	guo	guo	PROPN
ajst-11777	23	1	[	[	X
ajst-11777	23	2	6	6	NUM
ajst-11777	23	3	]	]	PUNCT
ajst-11777	23	4	and	and	CCONJ
ajst-11777	23	5	luo	luo	PROPN
ajst-11777	24	1	[	[	X
ajst-11777	24	2	7	7	NUM
ajst-11777	24	3	]	]	PUNCT
ajst-11777	24	4	extended	extend	VERB
ajst-11777	24	5	the	the	DET
ajst-11777	24	6	grey	grey	PROPN
ajst-11777	24	7	gm(1	gm(1	NOUN
ajst-11777	24	8	,	,	PUNCT
ajst-11777	24	9	1	1	NUM
ajst-11777	24	10	)	)	PUNCT
ajst-11777	24	11	model	model	NOUN
ajst-11777	24	12	into	into	ADP
ajst-11777	24	13	a	a	DET
ajst-11777	24	14	multivariate	multivariate	NOUN
ajst-11777	24	15	grey	grey	NOUN
ajst-11777	24	16	gm(1	gm(1	NOUN
ajst-11777	24	17	,	,	PUNCT
ajst-11777	24	18	n	n	CCONJ
ajst-11777	24	19	)	)	PUNCT
ajst-11777	24	20	model	model	NOUN
ajst-11777	24	21	for	for	ADP
ajst-11777	24	22	shortterm	shortterm	PROPN
ajst-11777	24	23	prediction	prediction	NOUN
ajst-11777	24	24	of	of	ADP
ajst-11777	24	25	future	future	ADJ
ajst-11777	24	26	climate	climate	NOUN
ajst-11777	24	27	change	change	NOUN
ajst-11777	24	28	trends	trend	NOUN
ajst-11777	24	29	;	;	PUNCT
ajst-11777	24	30	chen	chen	PROPN
ajst-11777	24	31	et	et	PROPN
ajst-11777	24	32	al	al	PROPN
ajst-11777	24	33	.	.	PUNCT
ajst-11777	25	1	[	[	X
ajst-11777	25	2	8	8	NUM
ajst-11777	25	3	]	]	PUNCT
ajst-11777	25	4	used	use	VERB
ajst-11777	25	5	correlation	correlation	NOUN
ajst-11777	25	6	analysis	analysis	NOUN
ajst-11777	25	7	and	and	CCONJ
ajst-11777	25	8	multivariate	multivariate	VERB
ajst-11777	25	9	nonlinear	nonlinear	ADJ
ajst-11777	25	10	regression	regression	NOUN
ajst-11777	25	11	analysis	analysis	NOUN
ajst-11777	25	12	to	to	PART
ajst-11777	25	13	quantify	quantify	VERB
ajst-11777	25	14	and	and	CCONJ
ajst-11777	25	15	qualify	qualify	VERB
ajst-11777	25	16	the	the	DET
ajst-11777	25	17	correlation	correlation	NOUN
ajst-11777	25	18	between	between	ADP
ajst-11777	25	19	the	the	DET
ajst-11777	25	20	geosystem	geosystem	NOUN
ajst-11777	25	21	temperatures	temperature	NOUN
ajst-11777	25	22	and	and	CCONJ
ajst-11777	25	23	radiations	radiation	NOUN
ajst-11777	25	24	of	of	ADP
ajst-11777	25	25	the	the	DET
ajst-11777	25	26	canadian	canadian	ADJ
ajst-11777	25	27	region	region	NOUN
ajst-11777	25	28	,	,	PUNCT
ajst-11777	25	29	the	the	DET
ajst-11777	25	30	ocean	ocean	NOUN
ajst-11777	25	31	surface	surface	NOUN
ajst-11777	25	32	temperatures	temperature	NOUN
ajst-11777	25	33	and	and	CCONJ
ajst-11777	25	34	the	the	DET
ajst-11777	25	35	global	global	ADJ
ajst-11777	25	36	carbon	carbon	NOUN
ajst-11777	25	37	emissions	emission	NOUN
ajst-11777	25	38	;	;	PUNCT
ajst-11777	25	39	qi	qi	X
ajst-11777	25	40	et	et	NOUN
ajst-11777	25	41	al	al	PROPN
ajst-11777	26	1	[	[	X
ajst-11777	26	2	9	9	NUM
ajst-11777	26	3	]	]	PUNCT
ajst-11777	26	4	proposed	propose	VERB
ajst-11777	26	5	that	that	SCONJ
ajst-11777	26	6	the	the	DET
ajst-11777	26	7	factors	factor	NOUN
ajst-11777	26	8	affecting	affect	VERB
ajst-11777	26	9	climate	climate	NOUN
ajst-11777	26	10	change	change	NOUN
ajst-11777	26	11	are	be	AUX
ajst-11777	26	12	closely	closely	ADV
ajst-11777	26	13	related	relate	VERB
ajst-11777	26	14	to	to	ADP
ajst-11777	26	15	ocean	ocean	NOUN
ajst-11777	26	16	heat	heat	NOUN
ajst-11777	26	17	absorption	absorption	NOUN
ajst-11777	26	18	in	in	ADP
ajst-11777	26	19	addition	addition	NOUN
ajst-11777	26	20	to	to	ADP
ajst-11777	26	21	greenhouse	greenhouse	NOUN
ajst-11777	26	22	gas	gas	NOUN
ajst-11777	26	23	emissions	emission	NOUN
ajst-11777	26	24	.	.	PUNCT
ajst-11777	27	1	relevant	relevant	ADJ
ajst-11777	27	2	studies	study	NOUN
ajst-11777	27	3	at	at	ADP
ajst-11777	27	4	home	home	ADV
ajst-11777	27	5	and	and	CCONJ
ajst-11777	27	6	abroad	abroad	ADV
ajst-11777	27	7	show	show	VERB
ajst-11777	27	8	that	that	SCONJ
ajst-11777	27	9	although	although	SCONJ
ajst-11777	27	10	the	the	DET
ajst-11777	27	11	long	long	ADJ
ajst-11777	27	12	-	-	PUNCT
ajst-11777	27	13	term	term	NOUN
ajst-11777	27	14	trend	trend	NOUN
ajst-11777	27	15	of	of	ADP
ajst-11777	27	16	global	global	ADJ
ajst-11777	27	17	temperature	temperature	NOUN
ajst-11777	27	18	is	be	AUX
ajst-11777	27	19	mainly	mainly	ADV
ajst-11777	27	20	determined	determine	VERB
ajst-11777	27	21	by	by	ADP
ajst-11777	27	22	greenhouse	greenhouse	NOUN
ajst-11777	27	23	gases	gas	NOUN
ajst-11777	27	24	,	,	PUNCT
ajst-11777	27	25	there	there	PRON
ajst-11777	27	26	are	be	VERB
ajst-11777	27	27	many	many	ADJ
ajst-11777	27	28	other	other	ADJ
ajst-11777	27	29	factors	factor	NOUN
ajst-11777	27	30	affecting	affect	VERB
ajst-11777	27	31	global	global	ADJ
ajst-11777	27	32	temperature	temperature	NOUN
ajst-11777	27	33	,	,	PUNCT
ajst-11777	27	34	such	such	ADJ
ajst-11777	27	35	as	as	ADP
ajst-11777	27	36	volcanic	volcanic	ADJ
ajst-11777	27	37	eruptions	eruption	NOUN
ajst-11777	27	38	,	,	PUNCT
ajst-11777	27	39	forest	forest	NOUN
ajst-11777	27	40	fires	fire	NOUN
ajst-11777	27	41	,	,	PUNCT
ajst-11777	27	42	covid19	covid19	NOUN
ajst-11777	27	43	and	and	CCONJ
ajst-11777	27	44	so	so	ADV
ajst-11777	27	45	on	on	ADV
ajst-11777	27	46	.	.	PUNCT
ajst-11777	28	1	moreover	moreover	ADV
ajst-11777	28	2	,	,	PUNCT
ajst-11777	28	3	the	the	DET
ajst-11777	28	4	formation	formation	NOUN
ajst-11777	28	5	and	and	CCONJ
ajst-11777	28	6	evolution	evolution	NOUN
ajst-11777	28	7	of	of	ADP
ajst-11777	28	8	these	these	DET
ajst-11777	28	9	influencing	influence	VERB
ajst-11777	28	10	factors	factor	NOUN
ajst-11777	28	11	are	be	AUX
ajst-11777	28	12	very	very	ADV
ajst-11777	28	13	complex	complex	ADJ
ajst-11777	28	14	,	,	PUNCT
ajst-11777	28	15	and	and	CCONJ
ajst-11777	28	16	there	there	PRON
ajst-11777	28	17	are	be	VERB
ajst-11777	28	18	still	still	ADV
ajst-11777	28	19	many	many	ADJ
ajst-11777	28	20	deficiencies	deficiency	NOUN
ajst-11777	28	21	in	in	ADP
ajst-11777	28	22	observation	observation	NOUN
ajst-11777	28	23	,	,	PUNCT
ajst-11777	28	24	research	research	NOUN
ajst-11777	28	25	,	,	PUNCT
ajst-11777	28	26	diagnosis	diagnosis	NOUN
ajst-11777	28	27	,	,	PUNCT
ajst-11777	28	28	attribution	attribution	NOUN
ajst-11777	28	29	analysis	analysis	NOUN
ajst-11777	28	30	and	and	CCONJ
ajst-11777	28	31	model	model	NOUN
ajst-11777	28	32	construction[10	construction[10	PROPN
ajst-11777	28	33	]	]	PUNCT
ajst-11777	28	34	.	.	PUNCT
ajst-11777	29	1	therefore	therefore	ADV
ajst-11777	29	2	,	,	PUNCT
ajst-11777	29	3	it	it	PRON
ajst-11777	29	4	is	be	AUX
ajst-11777	29	5	of	of	ADP
ajst-11777	29	6	great	great	ADJ
ajst-11777	29	7	significance	significance	NOUN
ajst-11777	29	8	to	to	PART
ajst-11777	29	9	strengthen	strengthen	VERB
ajst-11777	29	10	the	the	DET
ajst-11777	29	11	connection	connection	NOUN
ajst-11777	29	12	between	between	ADP
ajst-11777	29	13	various	various	ADJ
ajst-11777	29	14	disciplines	discipline	NOUN
ajst-11777	29	15	and	and	CCONJ
ajst-11777	29	16	technologies	technology	NOUN
ajst-11777	29	17	related	relate	VERB
ajst-11777	29	18	to	to	ADP
ajst-11777	29	19	global	global	ADJ
ajst-11777	29	20	warming	warming	NOUN
ajst-11777	29	21	and	and	CCONJ
ajst-11777	29	22	to	to	PART
ajst-11777	29	23	provide	provide	VERB
ajst-11777	29	24	a	a	DET
ajst-11777	29	25	better	well	ADJ
ajst-11777	29	26	support	support	NOUN
ajst-11777	29	27	point	point	NOUN
ajst-11777	29	28	for	for	ADP
ajst-11777	29	29	the	the	DET
ajst-11777	29	30	climate	climate	NOUN
ajst-11777	29	31	field	field	NOUN
ajst-11777	29	32	through	through	ADP
ajst-11777	29	33	mathematical	mathematical	ADJ
ajst-11777	29	34	modelling	modelling	NOUN
ajst-11777	29	35	.	.	PUNCT
ajst-11777	30	1	2	2	X
ajst-11777	30	2	.	.	X
ajst-11777	30	3	the	the	DET
ajst-11777	30	4	fundamental	fundamental	ADJ
ajst-11777	30	5	of	of	ADP
ajst-11777	30	6	data	datum	NOUN
ajst-11777	30	7	analysis	analysis	NOUN
ajst-11777	30	8	we	we	PRON
ajst-11777	30	9	have	have	AUX
ajst-11777	30	10	modelled	model	VERB
ajst-11777	30	11	the	the	DET
ajst-11777	30	12	future	future	ADJ
ajst-11777	30	13	changes	change	NOUN
ajst-11777	30	14	in	in	ADP
ajst-11777	30	15	global	global	ADJ
ajst-11777	30	16	temperature	temperature	NOUN
ajst-11777	30	17	and	and	CCONJ
ajst-11777	30	18	found	find	VERB
ajst-11777	30	19	that	that	SCONJ
ajst-11777	30	20	the	the	DET
ajst-11777	30	21	global	global	ADJ
ajst-11777	30	22	temperature	temperature	NOUN
ajst-11777	30	23	will	will	AUX
ajst-11777	30	24	show	show	VERB
ajst-11777	30	25	a	a	DET
ajst-11777	30	26	slow	slow	ADJ
ajst-11777	30	27	growth	growth	NOUN
ajst-11777	30	28	trend	trend	NOUN
ajst-11777	30	29	in	in	ADP
ajst-11777	30	30	the	the	DET
ajst-11777	30	31	future	future	NOUN
ajst-11777	30	32	.	.	PUNCT
ajst-11777	31	1	first	first	ADV
ajst-11777	31	2	,	,	PUNCT
ajst-11777	31	3	we	we	PRON
ajst-11777	31	4	selected	select	VERB
ajst-11777	31	5	the	the	DET
ajst-11777	31	6	global	global	ADJ
ajst-11777	31	7	average	average	ADJ
ajst-11777	31	8	temperature	temperature	NOUN
ajst-11777	31	9	in	in	ADP
ajst-11777	31	10	march	march	PROPN
ajst-11777	31	11	of	of	ADP
ajst-11777	31	12	each	each	DET
ajst-11777	31	13	year	year	NOUN
ajst-11777	31	14	from	from	ADP
ajst-11777	31	15	2012	2012	NUM
ajst-11777	31	16	to	to	ADP
ajst-11777	31	17	2022	2022	NUM
ajst-11777	31	18	,	,	PUNCT
ajst-11777	31	19	and	and	CCONJ
ajst-11777	31	20	then	then	ADV
ajst-11777	31	21	defined	define	VERB
ajst-11777	31	22	the	the	DET
ajst-11777	31	23	temperature	temperature	NOUN
ajst-11777	31	24	growth	growth	NOUN
ajst-11777	31	25	rate	rate	NOUN
ajst-11777	31	26	as	as	SCONJ
ajst-11777	31	27	follows	follow	VERB
ajst-11777	31	28	.	.	PUNCT
ajst-11777	32	1	g	g	PROPN
ajst-11777	32	2	t	t	PROPN
ajst-11777	32	3	t	t	PROPN
ajst-11777	32	4	(	(	PUNCT
ajst-11777	32	5	1	1	NUM
ajst-11777	32	6	)	)	PUNCT
ajst-11777	32	7	where	where	SCONJ
ajst-11777	32	8	,	,	PUNCT
ajst-11777	32	9	ti	ti	PROPN
ajst-11777	32	10	is	be	AUX
ajst-11777	32	11	the	the	DET
ajst-11777	32	12	global	global	ADJ
ajst-11777	32	13	mean	mean	ADJ
ajst-11777	32	14	temperature	temperature	NOUN
ajst-11777	32	15	in	in	ADP
ajst-11777	32	16	march	march	PROPN
ajst-11777	32	17	of	of	ADP
ajst-11777	32	18	the	the	DET
ajst-11777	32	19	year	year	NOUN
ajst-11777	32	20	.	.	PUNCT
ajst-11777	33	1	the	the	DET
ajst-11777	33	2	results	result	NOUN
ajst-11777	33	3	are	be	AUX
ajst-11777	33	4	shown	show	VERB
ajst-11777	33	5	in	in	ADP
ajst-11777	33	6	figure	figure	NOUN
ajst-11777	33	7	1	1	NUM
ajst-11777	33	8	.	.	PUNCT
ajst-11777	34	1	the	the	DET
ajst-11777	34	2	left	left	ADJ
ajst-11777	34	3	panel	panel	NOUN
ajst-11777	34	4	shows	show	VERB
ajst-11777	34	5	the	the	DET
ajst-11777	34	6	results	result	NOUN
ajst-11777	34	7	of	of	ADP
ajst-11777	34	8	gi	gi	NOUN
ajst-11777	34	9	calculations	calculation	NOUN
ajst-11777	34	10	,	,	PUNCT
ajst-11777	34	11	and	and	CCONJ
ajst-11777	34	12	the	the	DET
ajst-11777	34	13	right	right	ADJ
ajst-11777	34	14	panel	panel	NOUN
ajst-11777	34	15	shows	show	VERB
ajst-11777	34	16	the	the	DET
ajst-11777	34	17	global	global	ADJ
ajst-11777	34	18	average	average	ADJ
ajst-11777	34	19	temperature	temperature	NOUN
ajst-11777	34	20	from	from	ADP
ajst-11777	34	21	2012	2012	NUM
ajst-11777	34	22	to	to	ADP
ajst-11777	34	23	march	march	PROPN
ajst-11777	34	24	2022	2022	NUM
ajst-11777	34	25	.	.	PUNCT
ajst-11777	35	1	62	62	NUM
ajst-11777	35	2	figure	figure	NOUN
ajst-11777	35	3	1	1	NUM
ajst-11777	35	4	.	.	PUNCT
ajst-11777	35	5	temperature	temperature	NOUN
ajst-11777	35	6	growth	growth	NOUN
ajst-11777	35	7	rate	rate	NOUN
ajst-11777	35	8	the	the	DET
ajst-11777	35	9	arima(p	arima(p	NOUN
ajst-11777	35	10	,	,	PUNCT
ajst-11777	35	11	d	d	NOUN
ajst-11777	35	12	,	,	PUNCT
ajst-11777	35	13	q	q	X
ajst-11777	35	14	)	)	PUNCT
ajst-11777	35	15	is	be	AUX
ajst-11777	35	16	an	an	DET
ajst-11777	35	17	extension	extension	NOUN
ajst-11777	35	18	of	of	ADP
ajst-11777	35	19	the	the	DET
ajst-11777	35	20	arma(p	arma(p	PROPN
ajst-11777	35	21	,	,	PUNCT
ajst-11777	35	22	q	q	NOUN
ajst-11777	35	23	)	)	PUNCT
ajst-11777	35	24	.	.	PUNCT
ajst-11777	36	1	in	in	ADP
ajst-11777	36	2	arima(p	arima(p	PROPN
ajst-11777	36	3	,	,	PUNCT
ajst-11777	36	4	d	d	PROPN
ajst-11777	36	5	,	,	PUNCT
ajst-11777	36	6	q	q	NOUN
ajst-11777	36	7	)	)	PUNCT
ajst-11777	36	8	,	,	PUNCT
ajst-11777	36	9	ar	ar	PROPN
ajst-11777	36	10	is	be	AUX
ajst-11777	36	11	"	"	PUNCT
ajst-11777	36	12	autoregressive	autoregressive	ADJ
ajst-11777	36	13	"	"	PUNCT
ajst-11777	36	14	,	,	PUNCT
ajst-11777	36	15	p	p	NOUN
ajst-11777	36	16	is	be	AUX
ajst-11777	36	17	the	the	DET
ajst-11777	36	18	number	number	NOUN
ajst-11777	36	19	of	of	ADP
ajst-11777	36	20	autoregressive	autoregressive	ADJ
ajst-11777	36	21	terms	term	NOUN
ajst-11777	36	22	;	;	PUNCT
ajst-11777	36	23	ma	ma	PROPN
ajst-11777	36	24	is	be	AUX
ajst-11777	36	25	"	"	PUNCT
ajst-11777	36	26	sliding	slide	VERB
ajst-11777	36	27	average	average	ADJ
ajst-11777	36	28	"	"	PUNCT
ajst-11777	36	29	,	,	PUNCT
ajst-11777	36	30	q	q	X
ajst-11777	36	31	is	be	AUX
ajst-11777	36	32	the	the	DET
ajst-11777	36	33	number	number	NOUN
ajst-11777	36	34	of	of	ADP
ajst-11777	36	35	sliding	slide	VERB
ajst-11777	36	36	average	average	ADJ
ajst-11777	36	37	terms	term	NOUN
ajst-11777	36	38	,	,	PUNCT
ajst-11777	36	39	and	and	CCONJ
ajst-11777	36	40	d	d	NOUN
ajst-11777	36	41	is	be	AUX
ajst-11777	36	42	the	the	DET
ajst-11777	36	43	number	number	NOUN
ajst-11777	36	44	of	of	ADP
ajst-11777	36	45	differences	difference	NOUN
ajst-11777	36	46	made	make	VERB
ajst-11777	36	47	to	to	PART
ajst-11777	36	48	make	make	VERB
ajst-11777	36	49	it	it	PRON
ajst-11777	36	50	a	a	DET
ajst-11777	36	51	smooth	smooth	ADJ
ajst-11777	36	52	series.the	series.the	PRON
ajst-11777	36	53	arima(p	arima(p	PROPN
ajst-11777	36	54	,	,	PUNCT
ajst-11777	36	55	d	d	NOUN
ajst-11777	36	56	,	,	PUNCT
ajst-11777	36	57	q	q	X
ajst-11777	36	58	)	)	PUNCT
ajst-11777	36	59	can	can	AUX
ajst-11777	36	60	be	be	AUX
ajst-11777	36	61	expressed	express	VERB
ajst-11777	36	62	as	as	ADP
ajst-11777	36	63	(	(	PUNCT
ajst-11777	36	64	2	2	NUM
ajst-11777	36	65	)	)	PUNCT
ajst-11777	36	66	.	.	PUNCT
ajst-11777	37	1	i	i	PRON
ajst-11777	37	2	1	1	NUM
ajst-11777	37	3	1	1	NUM
ajst-11777	37	4	(	(	PUNCT
ajst-11777	37	5	1	1	NUM
ajst-11777	37	6	)	)	PUNCT
ajst-11777	37	7	(	(	PUNCT
ajst-11777	37	8	1	1	X
ajst-11777	37	9	)	)	PUNCT
ajst-11777	37	10	(	(	PUNCT
ajst-11777	37	11	1	1	X
ajst-11777	37	12	)	)	PUNCT
ajst-11777	37	13	p	p	X
ajst-11777	37	14	q	q	X
ajst-11777	37	15	di	di	NOUN
ajst-11777	38	1	i	i	PRON
ajst-11777	38	2	it	it	PRON
ajst-11777	39	1	t	t	X
ajst-11777	39	2	i	i	PRON
ajst-11777	40	1	i	i	NOUN
ajst-11777	40	2	l	l	NOUN
ajst-11777	40	3	l	l	NOUN
ajst-11777	41	1	x	x	PUNCT
ajst-11777	41	2	l	l	NOUN
ajst-11777	41	3			NUM
ajst-11777	41	4			PROPN
ajst-11777	41	5			PROPN
ajst-11777	41	6			PROPN
ajst-11777	41	7			PROPN
ajst-11777	41	8			NOUN
ajst-11777	41	9	ф	ф	NOUN
ajst-11777	41	10	θ	θ	X
ajst-11777	41	11	ε	ε	PROPN
ajst-11777	41	12	(	(	PUNCT
ajst-11777	41	13	2	2	NUM
ajst-11777	41	14	)	)	PUNCT
ajst-11777	41	15	where	where	SCONJ
ajst-11777	41	16	,	,	PUNCT
ajst-11777	41	17	l	l	NOUN
ajst-11777	41	18	is	be	AUX
ajst-11777	41	19	the	the	DET
ajst-11777	41	20	lag	lag	NOUN
ajst-11777	41	21	operator	operator	NOUN
ajst-11777	41	22	.	.	PUNCT
ajst-11777	42	1	it	it	PRON
ajst-11777	42	2	is	be	AUX
ajst-11777	42	3	important	important	ADJ
ajst-11777	42	4	to	to	PART
ajst-11777	42	5	note	note	VERB
ajst-11777	42	6	that	that	SCONJ
ajst-11777	42	7	the	the	DET
ajst-11777	42	8	arima	arima	PROPN
ajst-11777	42	9	model	model	NOUN
ajst-11777	42	10	requires	require	VERB
ajst-11777	42	11	that	that	SCONJ
ajst-11777	42	12	the	the	DET
ajst-11777	42	13	series	series	NOUN
ajst-11777	42	14	meet	meet	VERB
ajst-11777	42	15	the	the	DET
ajst-11777	42	16	smoothness	smoothness	NOUN
ajst-11777	42	17	.	.	PUNCT
ajst-11777	43	1	we	we	PRON
ajst-11777	43	2	first	first	ADV
ajst-11777	43	3	check	check	VERB
ajst-11777	43	4	the	the	DET
ajst-11777	43	5	results	result	NOUN
ajst-11777	43	6	of	of	ADP
ajst-11777	43	7	the	the	DET
ajst-11777	43	8	adf	adf	NOUN
ajst-11777	43	9	test	test	NOUN
ajst-11777	43	10	of	of	ADP
ajst-11777	43	11	the	the	DET
ajst-11777	43	12	data	datum	NOUN
ajst-11777	43	13	to	to	PART
ajst-11777	43	14	determine	determine	VERB
ajst-11777	43	15	whether	whether	SCONJ
ajst-11777	43	16	it	it	PRON
ajst-11777	43	17	can	can	AUX
ajst-11777	43	18	significantly	significantly	ADV
ajst-11777	43	19	reject	reject	VERB
ajst-11777	43	20	the	the	DET
ajst-11777	43	21	hypothesis	hypothesis	NOUN
ajst-11777	43	22	of	of	ADP
ajst-11777	43	23	series	series	PROPN
ajst-11777	43	24	non	non	PROPN
ajst-11777	43	25	-	-	ADJ
ajst-11777	43	26	stationarity	stationarity	NOUN
ajst-11777	43	27	based	base	VERB
ajst-11777	43	28	on	on	ADP
ajst-11777	43	29	the	the	DET
ajst-11777	43	30	analyzed	analyzed	ADJ
ajst-11777	43	31	p.	p.	NOUN
ajst-11777	43	32	the	the	DET
ajst-11777	43	33	results	result	NOUN
ajst-11777	43	34	of	of	ADP
ajst-11777	43	35	the	the	DET
ajst-11777	43	36	adf	adf	NOUN
ajst-11777	43	37	test	test	NOUN
ajst-11777	43	38	are	be	AUX
ajst-11777	43	39	shown	show	VERB
ajst-11777	43	40	in	in	ADP
ajst-11777	43	41	the	the	DET
ajst-11777	43	42	following	follow	VERB
ajst-11777	43	43	table	table	NOUN
ajst-11777	43	44	1	1	NUM
ajst-11777	43	45	.	.	PUNCT
ajst-11777	43	46	table	table	NOUN
ajst-11777	43	47	1	1	NUM
ajst-11777	43	48	.	.	PUNCT
ajst-11777	44	1	adf	adf	NOUN
ajst-11777	44	2	test	test	NOUN
ajst-11777	44	3	variables	variable	NOUN
ajst-11777	44	4	differential	differential	ADJ
ajst-11777	44	5	order	order	NOUN
ajst-11777	44	6	t	t	PROPN
ajst-11777	44	7	p	p	X
ajst-11777	44	8	aic	aic	PROPN
ajst-11777	44	9	threshold	threshold	NOUN
ajst-11777	44	10	values	value	NOUN
ajst-11777	44	11	1	1	NUM
ajst-11777	44	12	%	%	NOUN
ajst-11777	44	13	5	5	NUM
ajst-11777	44	14	%	%	NOUN
ajst-11777	44	15	10	10	NUM
ajst-11777	44	16	%	%	NOUN
ajst-11777	44	17	temperature	temperature	NOUN
ajst-11777	44	18	average	average	NOUN
ajst-11777	44	19	0	0	NUM
ajst-11777	44	20	1.39	1.39	NUM
ajst-11777	44	21	0.997	0.997	NUM
ajst-11777	44	22	-23.614	-23.614	NUM
ajst-11777	44	23	-3.558	-3.558	PUNCT
ajst-11777	44	24	-2.917	-2.917	NOUN
ajst-11777	44	25	-2.596	-2.596	SYM
ajst-11777	44	26	1	1	NUM
ajst-11777	44	27	-5.835	-5.835	NOUN
ajst-11777	44	28	0.000	0.000	NUM
ajst-11777	44	29	*	*	PUNCT
ajst-11777	44	30	*	*	PUNCT
ajst-11777	44	31	*	*	PUNCT
ajst-11777	44	32	-23.506	-23.506	INTJ
ajst-11777	44	33	-3.558	-3.558	PUNCT
ajst-11777	44	34	-2.917	-2.917	X
ajst-11777	44	35	-2.596	-2.596	SYM
ajst-11777	44	36	2	2	NUM
ajst-11777	44	37	-5.438	-5.438	NOUN
ajst-11777	44	38	0.000	0.000	NUM
ajst-11777	44	39	*	*	PUNCT
ajst-11777	44	40	*	*	PUNCT
ajst-11777	44	41	*	*	X
ajst-11777	44	42	16.511	16.511	NUM
ajst-11777	44	43	-3.568	-3.568	NOUN
ajst-11777	44	44	-2.921	-2.921	X
ajst-11777	44	45	-2.599	-2.599	PUNCT
ajst-11777	44	46	we	we	PRON
ajst-11777	44	47	find	find	VERB
ajst-11777	44	48	that	that	SCONJ
ajst-11777	44	49	the	the	DET
ajst-11777	44	50	significance	significance	NOUN
ajst-11777	44	51	p	p	NOUN
ajst-11777	44	52	is	be	AUX
ajst-11777	44	53	0.997	0.997	NUM
ajst-11777	44	54	at	at	ADP
ajst-11777	44	55	the	the	DET
ajst-11777	44	56	difference	difference	NOUN
ajst-11777	44	57	of	of	ADP
ajst-11777	44	58	order	order	NOUN
ajst-11777	44	59	0	0	NUM
ajst-11777	44	60	,	,	PUNCT
ajst-11777	44	61	which	which	PRON
ajst-11777	44	62	does	do	AUX
ajst-11777	44	63	not	not	PART
ajst-11777	44	64	present	present	VERB
ajst-11777	44	65	significance	significance	NOUN
ajst-11777	44	66	at	at	ADP
ajst-11777	44	67	the	the	DET
ajst-11777	44	68	level	level	NOUN
ajst-11777	44	69	,	,	PUNCT
ajst-11777	44	70	then	then	ADV
ajst-11777	44	71	we	we	PRON
ajst-11777	44	72	consider	consider	VERB
ajst-11777	44	73	that	that	SCONJ
ajst-11777	44	74	the	the	DET
ajst-11777	44	75	original	original	ADJ
ajst-11777	44	76	hypothesis	hypothesis	NOUN
ajst-11777	44	77	can	can	AUX
ajst-11777	44	78	not	not	PART
ajst-11777	44	79	be	be	AUX
ajst-11777	44	80	rejected	reject	VERB
ajst-11777	44	81	,	,	PUNCT
ajst-11777	44	82	so	so	CCONJ
ajst-11777	44	83	the	the	DET
ajst-11777	44	84	series	series	NOUN
ajst-11777	44	85	is	be	AUX
ajst-11777	44	86	an	an	DET
ajst-11777	44	87	unsteady	unsteady	ADJ
ajst-11777	44	88	time	time	NOUN
ajst-11777	44	89	seriesthe	seriesthe	DET
ajst-11777	44	90	significance	significance	NOUN
ajst-11777	44	91	p	p	NOUN
ajst-11777	44	92	is	be	AUX
ajst-11777	44	93	.000	.000	NUM
ajst-11777	44	94	*	*	PUNCT
ajst-11777	45	1	*	*	PUNCT
ajst-11777	45	2	*	*	PUNCT
ajst-11777	45	3	at	at	ADP
ajst-11777	45	4	both	both	CCONJ
ajst-11777	45	5	the	the	DET
ajst-11777	45	6	1st	1st	ADJ
ajst-11777	45	7	and	and	CCONJ
ajst-11777	45	8	2nd	2nd	ADJ
ajst-11777	45	9	order	order	NOUN
ajst-11777	45	10	of	of	ADP
ajst-11777	45	11	the	the	DET
ajst-11777	45	12	difference	difference	NOUN
ajst-11777	45	13	,	,	PUNCT
ajst-11777	45	14	which	which	PRON
ajst-11777	45	15	presents	present	VERB
ajst-11777	45	16	significance	significance	NOUN
ajst-11777	45	17	at	at	ADP
ajst-11777	45	18	the	the	DET
ajst-11777	45	19	level	level	NOUN
ajst-11777	45	20	,	,	PUNCT
ajst-11777	45	21	then	then	ADV
ajst-11777	45	22	we	we	PRON
ajst-11777	45	23	reject	reject	VERB
ajst-11777	45	24	the	the	DET
ajst-11777	45	25	original	original	ADJ
ajst-11777	45	26	hypothesis	hypothesis	NOUN
ajst-11777	45	27	and	and	CCONJ
ajst-11777	45	28	consider	consider	VERB
ajst-11777	45	29	the	the	DET
ajst-11777	45	30	series	series	NOUN
ajst-11777	45	31	as	as	ADP
ajst-11777	45	32	a	a	DET
ajst-11777	45	33	smooth	smooth	ADJ
ajst-11777	45	34	time	time	NOUN
ajst-11777	45	35	series.we	series.we	NUM
ajst-11777	45	36	use	use	VERB
ajst-11777	45	37	the	the	DET
ajst-11777	45	38	established	establish	VERB
ajst-11777	45	39	arima(0,1,1	arima(0,1,1	NOUN
ajst-11777	45	40	)	)	PUNCT
ajst-11777	45	41	model	model	NOUN
ajst-11777	45	42	to	to	PART
ajst-11777	45	43	predict	predict	VERB
ajst-11777	45	44	the	the	DET
ajst-11777	45	45	global	global	ADJ
ajst-11777	45	46	average	average	ADJ
ajst-11777	45	47	temperature	temperature	NOUN
ajst-11777	45	48	in	in	ADP
ajst-11777	45	49	2050	2050	NUM
ajst-11777	45	50	and	and	CCONJ
ajst-11777	45	51	2100	2100	NUM
ajst-11777	45	52	as	as	ADP
ajst-11777	45	53	following	follow	VERB
ajst-11777	45	54	figure	figure	NOUN
ajst-11777	45	55	1	1	NUM
ajst-11777	45	56	.	.	PUNCT
ajst-11777	45	57	figure	figure	NOUN
ajst-11777	45	58	1	1	NUM
ajst-11777	45	59	.	.	PUNCT
ajst-11777	46	1	arima	arima	PROPN
ajst-11777	46	2	(	(	PUNCT
ajst-11777	46	3	0	0	NUM
ajst-11777	46	4	,	,	PUNCT
ajst-11777	46	5	1	1	NUM
ajst-11777	46	6	,	,	PUNCT
ajst-11777	46	7	1	1	X
ajst-11777	46	8	)	)	PUNCT
ajst-11777	46	9	prediction	prediction	NOUN
ajst-11777	46	10	it	it	PRON
ajst-11777	46	11	is	be	AUX
ajst-11777	46	12	predicted	predict	VERB
ajst-11777	46	13	that	that	SCONJ
ajst-11777	46	14	the	the	DET
ajst-11777	46	15	global	global	ADJ
ajst-11777	46	16	temperature	temperature	NOUN
ajst-11777	46	17	will	will	AUX
ajst-11777	46	18	reach	reach	VERB
ajst-11777	46	19	10.6	10.6	NUM
ajst-11777	46	20	℃	℃	PROPN
ajst-11777	46	21	in	in	ADP
ajst-11777	46	22	2050	2050	NUM
ajst-11777	46	23	and	and	CCONJ
ajst-11777	46	24	11.78	11.78	NUM
ajst-11777	46	25	℃	℃	PROPN
ajst-11777	46	26	in	in	ADP
ajst-11777	46	27	2100	2100	NUM
ajst-11777	46	28	.	.	PUNCT
ajst-11777	47	1	so	so	ADV
ajst-11777	47	2	we	we	PRON
ajst-11777	47	3	do	do	AUX
ajst-11777	47	4	not	not	PART
ajst-11777	47	5	agree	agree	VERB
ajst-11777	47	6	that	that	SCONJ
ajst-11777	47	7	the	the	DET
ajst-11777	47	8	global	global	ADJ
ajst-11777	47	9	temperature	temperature	NOUN
ajst-11777	47	10	will	will	AUX
ajst-11777	47	11	reach	reach	VERB
ajst-11777	47	12	20	20	NUM
ajst-11777	47	13	℃	℃	PROPN
ajst-11777	47	14	in	in	ADP
ajst-11777	47	15	2050	2050	NUM
ajst-11777	47	16	or	or	CCONJ
ajst-11777	47	17	2100	2100	NUM
ajst-11777	47	18	.	.	PUNCT
ajst-11777	48	1	according	accord	VERB
ajst-11777	48	2	to	to	ADP
ajst-11777	48	3	our	our	PRON
ajst-11777	48	4	model	model	NOUN
ajst-11777	48	5	we	we	PRON
ajst-11777	48	6	predict	predict	VERB
ajst-11777	48	7	that	that	SCONJ
ajst-11777	48	8	the	the	DET
ajst-11777	48	9	global	global	ADJ
ajst-11777	48	10	temperature	temperature	NOUN
ajst-11777	48	11	will	will	AUX
ajst-11777	48	12	reach	reach	VERB
ajst-11777	48	13	20	20	NUM
ajst-11777	48	14	℃	℃	PROPN
ajst-11777	48	15	in	in	ADP
ajst-11777	48	16	2447	2447	NUM
ajst-11777	48	17	.	.	PUNCT
ajst-11777	49	1	the	the	DET
ajst-11777	49	2	gray	gray	ADJ
ajst-11777	49	3	prediction	prediction	NOUN
ajst-11777	49	4	model	model	NOUN
ajst-11777	49	5	can	can	AUX
ajst-11777	49	6	predict	predict	VERB
ajst-11777	49	7	systems	system	NOUN
ajst-11777	49	8	that	that	PRON
ajst-11777	49	9	contain	contain	VERB
ajst-11777	49	10	63	63	NUM
ajst-11777	49	11	uncertain	uncertain	ADJ
ajst-11777	49	12	information	information	NOUN
ajst-11777	49	13	and	and	CCONJ
ajst-11777	49	14	is	be	AUX
ajst-11777	49	15	a	a	DET
ajst-11777	49	16	prediction	prediction	NOUN
ajst-11777	49	17	model	model	NOUN
ajst-11777	49	18	that	that	PRON
ajst-11777	49	19	contains	contain	VERB
ajst-11777	49	20	uncertainty	uncertainty	NOUN
ajst-11777	49	21	.	.	PUNCT
ajst-11777	50	1	equation	equation	NOUN
ajst-11777	50	2	(	(	PUNCT
ajst-11777	50	3	5	5	NUM
ajst-11777	50	4	)	)	PUNCT
ajst-11777	50	5	is	be	AUX
ajst-11777	50	6	known	know	VERB
ajst-11777	50	7	as	as	ADP
ajst-11777	50	8	the	the	DET
ajst-11777	50	9	whitening	whiten	VERB
ajst-11777	50	10	equation	equation	NOUN
ajst-11777	50	11	of	of	ADP
ajst-11777	50	12	gm	gm	PROPN
ajst-11777	50	13	(	(	PUNCT
ajst-11777	50	14	1	1	NUM
ajst-11777	50	15	,	,	PUNCT
ajst-11777	50	16	1	1	NUM
ajst-11777	50	17	)	)	PUNCT
ajst-11777	50	18	.	.	PUNCT
ajst-11777	51	1	(	(	PUNCT
ajst-11777	51	2	1	1	X
ajst-11777	51	3	)	)	PUNCT
ajst-11777	51	4	(	(	PUNCT
ajst-11777	51	5	1	1	X
ajst-11777	51	6	)	)	PUNCT
ajst-11777	51	7	(	(	PUNCT
ajst-11777	51	8	)	)	PUNCT
ajst-11777	51	9	ˆˆ	ˆˆ	PROPN
ajst-11777	51	10	(	(	PUNCT
ajst-11777	51	11	)	)	PUNCT
ajst-11777	51	12	dx	dx	PROPN
ajst-11777	51	13	t	t	PROPN
ajst-11777	51	14	a	a	DET
ajst-11777	51	15	x	x	SYM
ajst-11777	51	16	t	t	PROPN
ajst-11777	51	17	b	b	PROPN
ajst-11777	51	18	d	d	X
ajst-11777	51	19	t	t	PROPN
ajst-11777	51	20			PROPN
ajst-11777	51	21			PROPN
ajst-11777	51	22			X
ajst-11777	51	23	(	(	PUNCT
ajst-11777	51	24	3	3	X
ajst-11777	51	25	)	)	PUNCT
ajst-11777	51	26	the	the	DET
ajst-11777	51	27	basic	basic	ADJ
ajst-11777	51	28	form	form	NOUN
ajst-11777	51	29	of	of	ADP
ajst-11777	51	30	gm	gm	PROPN
ajst-11777	51	31	(	(	PUNCT
ajst-11777	51	32	1	1	NUM
ajst-11777	51	33	,	,	PUNCT
ajst-11777	51	34	1	1	NUM
ajst-11777	51	35	)	)	PUNCT
ajst-11777	51	36	is	be	AUX
ajst-11777	51	37	equation	equation	NOUN
ajst-11777	51	38	6	6	NUM
ajst-11777	51	39	,	,	PUNCT
ajst-11777	51	40	also	also	ADV
ajst-11777	51	41	known	know	VERB
ajst-11777	51	42	as	as	ADP
ajst-11777	51	43	the	the	DET
ajst-11777	51	44	gray	gray	ADJ
ajst-11777	51	45	differential	differential	NOUN
ajst-11777	51	46	equation	equation	NOUN
ajst-11777	51	47	.	.	PUNCT
ajst-11777	52	1	(	(	PUNCT
ajst-11777	52	2	0	0	NUM
ajst-11777	52	3	)	)	PUNCT
ajst-11777	52	4	(	(	PUNCT
ajst-11777	52	5	1	1	NUM
ajst-11777	52	6	)	)	PUNCT
ajst-11777	52	7	(	(	PUNCT
ajst-11777	52	8	)	)	PUNCT
ajst-11777	52	9	(	(	PUNCT
ajst-11777	52	10	)	)	PUNCT
ajst-11777	52	11	x	x	X
ajst-11777	53	1	k	k	PROPN
ajst-11777	53	2	az	az	PROPN
ajst-11777	53	3	k	k	PROPN
ajst-11777	53	4	b	b	PROPN
ajst-11777	53	5			NOUN
ajst-11777	53	6	(	(	PUNCT
ajst-11777	53	7	4	4	NUM
ajst-11777	53	8	)	)	PUNCT
ajst-11777	53	9	firstly	firstly	ADV
ajst-11777	53	10	,	,	PUNCT
ajst-11777	53	11	we	we	PRON
ajst-11777	53	12	perform	perform	VERB
ajst-11777	53	13	a	a	DET
ajst-11777	53	14	level	level	NOUN
ajst-11777	53	15	-	-	PUNCT
ajst-11777	53	16	ratio	ratio	NOUN
ajst-11777	53	17	test	test	NOUN
ajst-11777	53	18	on	on	ADP
ajst-11777	53	19	the	the	DET
ajst-11777	53	20	time	time	NOUN
ajst-11777	53	21	series	series	NOUN
ajst-11777	53	22	.	.	PUNCT
ajst-11777	54	1	we	we	PRON
ajst-11777	54	2	find	find	VERB
ajst-11777	54	3	that	that	SCONJ
ajst-11777	54	4	all	all	DET
ajst-11777	54	5	the	the	DET
ajst-11777	54	6	level	level	NOUN
ajst-11777	54	7	ratios	ratio	NOUN
ajst-11777	54	8	of	of	ADP
ajst-11777	54	9	the	the	DET
ajst-11777	54	10	translational	translational	ADJ
ajst-11777	54	11	transformed	transform	VERB
ajst-11777	54	12	series	series	NOUN
ajst-11777	54	13	lie	lie	VERB
ajst-11777	54	14	within	within	ADP
ajst-11777	54	15	the	the	DET
ajst-11777	54	16	interval	interval	NOUN
ajst-11777	54	17	(	(	PUNCT
ajst-11777	54	18	0.969	0.969	NUM
ajst-11777	54	19	,	,	PUNCT
ajst-11777	54	20	1.032	1.032	NUM
ajst-11777	54	21	)	)	PUNCT
ajst-11777	54	22	,	,	PUNCT
ajst-11777	54	23	indicating	indicate	VERB
ajst-11777	54	24	that	that	SCONJ
ajst-11777	54	25	the	the	DET
ajst-11777	54	26	translational	translational	ADJ
ajst-11777	54	27	transformed	transform	VERB
ajst-11777	54	28	series	series	NOUN
ajst-11777	54	29	are	be	AUX
ajst-11777	54	30	suitable	suitable	ADJ
ajst-11777	54	31	for	for	ADP
ajst-11777	54	32	constructing	construct	VERB
ajst-11777	54	33	a	a	DET
ajst-11777	54	34	gray	gray	ADJ
ajst-11777	54	35	forecasting	forecasting	NOUN
ajst-11777	54	36	model	model	NOUN
ajst-11777	54	37	.	.	PUNCT
ajst-11777	55	1	therefore	therefore	ADV
ajst-11777	55	2	,	,	PUNCT
ajst-11777	55	3	we	we	PRON
ajst-11777	55	4	construct	construct	VERB
ajst-11777	55	5	the	the	DET
ajst-11777	55	6	following	follow	VERB
ajst-11777	55	7	gray	gray	ADJ
ajst-11777	55	8	model	model	NOUN
ajst-11777	55	9	gm	gm	PROPN
ajst-11777	55	10	(	(	PUNCT
ajst-11777	55	11	1	1	NUM
ajst-11777	55	12	,	,	PUNCT
ajst-11777	55	13	1	1	NUM
ajst-11777	55	14	)	)	PUNCT
ajst-11777	55	15	.	.	PUNCT
ajst-11777	56	1	table	table	NOUN
ajst-11777	57	1	2	2	NUM
ajst-11777	57	2	.	.	PUNCT
ajst-11777	57	3	gm	gm	PROPN
ajst-11777	57	4	(	(	PUNCT
ajst-11777	57	5	1,1	1,1	NUM
ajst-11777	57	6	)	)	PUNCT
ajst-11777	57	7	parameters	parameter	NOUN
ajst-11777	57	8	development	development	NOUN
ajst-11777	57	9	grey	grey	PROPN
ajst-11777	57	10	effect	effect	PROPN
ajst-11777	57	11	posterior	posterior	ADJ
ajst-11777	57	12	test	test	NOUN
ajst-11777	57	13	factor	factor	NOUN
ajst-11777	57	14	a	a	DET
ajst-11777	57	15	quantity	quantity	NOUN
ajst-11777	57	16	b	b	PRON
ajst-11777	57	17	difference	difference	NOUN
ajst-11777	57	18	ratio	ratio	NOUN
ajst-11777	57	19	c	c	PROPN
ajst-11777	57	20	-0.001	-0.001	NOUN
ajst-11777	57	21	19.33	19.33	NUM
ajst-11777	57	22	0	0	NUM
ajst-11777	57	23	.	.	NOUN
ajst-11777	57	24	136	136	NUM
ajst-11777	57	25	where	where	SCONJ
ajst-11777	57	26	,	,	PUNCT
ajst-11777	57	27	the	the	DET
ajst-11777	57	28	development	development	NOUN
ajst-11777	57	29	coefficient	coefficient	NOUN
ajst-11777	57	30	indicates	indicate	VERB
ajst-11777	57	31	the	the	DET
ajst-11777	57	32	development	development	NOUN
ajst-11777	57	33	pattern	pattern	NOUN
ajst-11777	57	34	and	and	CCONJ
ajst-11777	57	35	trend	trend	NOUN
ajst-11777	57	36	of	of	ADP
ajst-11777	57	37	the	the	DET
ajst-11777	57	38	series	series	NOUN
ajst-11777	57	39	,	,	PUNCT
ajst-11777	57	40	and	and	CCONJ
ajst-11777	57	41	the	the	DET
ajst-11777	57	42	gray	gray	ADJ
ajst-11777	57	43	action	action	NOUN
ajst-11777	57	44	quantity	quantity	NOUN
ajst-11777	57	45	reflects	reflect	VERB
ajst-11777	57	46	the	the	DET
ajst-11777	57	47	change	change	NOUN
ajst-11777	57	48	relationship	relationship	NOUN
ajst-11777	57	49	of	of	ADP
ajst-11777	57	50	the	the	DET
ajst-11777	57	51	series	series	NOUN
ajst-11777	57	52	.	.	PUNCT
ajst-11777	58	1	the	the	DET
ajst-11777	58	2	posterior	posterior	ADJ
ajst-11777	58	3	difference	difference	NOUN
ajst-11777	58	4	ratio	ratio	NOUN
ajst-11777	58	5	can	can	AUX
ajst-11777	58	6	verify	verify	VERB
ajst-11777	58	7	the	the	DET
ajst-11777	58	8	accuracy	accuracy	NOUN
ajst-11777	58	9	of	of	ADP
ajst-11777	58	10	gray	gray	ADJ
ajst-11777	58	11	prediction	prediction	NOUN
ajst-11777	58	12	,	,	PUNCT
ajst-11777	58	13	and	and	CCONJ
ajst-11777	58	14	the	the	DET
ajst-11777	58	15	smaller	small	ADJ
ajst-11777	58	16	the	the	DET
ajst-11777	58	17	posterior	posterior	ADJ
ajst-11777	58	18	difference	difference	NOUN
ajst-11777	58	19	ratio	ratio	NOUN
ajst-11777	58	20	is	be	AUX
ajst-11777	58	21	,	,	PUNCT
ajst-11777	58	22	the	the	PRON
ajst-11777	58	23	higher	high	ADJ
ajst-11777	58	24	the	the	DET
ajst-11777	58	25	accuracy	accuracy	NOUN
ajst-11777	58	26	of	of	ADP
ajst-11777	58	27	gray	gray	ADJ
ajst-11777	58	28	prediction	prediction	NOUN
ajst-11777	58	29	is	be	AUX
ajst-11777	58	30	.	.	PUNCT
ajst-11777	59	1	the	the	DET
ajst-11777	59	2	posterior	posterior	ADJ
ajst-11777	59	3	difference	difference	NOUN
ajst-11777	59	4	ratio	ratio	NOUN
ajst-11777	59	5	value	value	NOUN
ajst-11777	59	6	obtained	obtain	VERB
ajst-11777	59	7	from	from	ADP
ajst-11777	59	8	the	the	DET
ajst-11777	59	9	solution	solution	NOUN
ajst-11777	59	10	is	be	AUX
ajst-11777	59	11	0	0	NUM
ajst-11777	59	12	.	.	NOUN
ajst-11777	59	13	136	136	NUM
ajst-11777	59	14	,	,	PUNCT
ajst-11777	59	15	and	and	CCONJ
ajst-11777	59	16	the	the	DET
ajst-11777	59	17	model	model	NOUN
ajst-11777	59	18	accuracy	accuracy	NOUN
ajst-11777	59	19	is	be	AUX
ajst-11777	59	20	high	high	ADJ
ajst-11777	59	21	.	.	PUNCT
ajst-11777	60	1	figure	figure	NOUN
ajst-11777	60	2	2	2	NUM
ajst-11777	60	3	.	.	PUNCT
ajst-11777	61	1	gm	gm	PROPN
ajst-11777	61	2	(	(	PUNCT
ajst-11777	61	3	1	1	NUM
ajst-11777	61	4	,	,	PUNCT
ajst-11777	61	5	1	1	NUM
ajst-11777	61	6	)	)	PUNCT
ajst-11777	61	7	fitting	fitting	ADJ
ajst-11777	61	8	figure	figure	NOUN
ajst-11777	61	9	2	2	NUM
ajst-11777	61	10	shows	show	VERB
ajst-11777	61	11	the	the	DET
ajst-11777	61	12	model	model	NOUN
ajst-11777	61	13	fit	fit	NOUN
ajst-11777	61	14	of	of	ADP
ajst-11777	61	15	the	the	DET
ajst-11777	61	16	gray	gray	ADJ
ajst-11777	61	17	prediction	prediction	NOUN
ajst-11777	61	18	,	,	PUNCT
ajst-11777	61	19	and	and	CCONJ
ajst-11777	61	20	we	we	PRON
ajst-11777	61	21	find	find	VERB
ajst-11777	61	22	that	that	SCONJ
ajst-11777	61	23	the	the	DET
ajst-11777	61	24	fit	fit	NOUN
ajst-11777	61	25	is	be	AUX
ajst-11777	61	26	good	good	ADJ
ajst-11777	61	27	and	and	CCONJ
ajst-11777	61	28	the	the	DET
ajst-11777	61	29	model	model	NOUN
ajst-11777	61	30	can	can	AUX
ajst-11777	61	31	largely	largely	ADV
ajst-11777	61	32	reflect	reflect	VERB
ajst-11777	61	33	the	the	DET
ajst-11777	61	34	temperature	temperature	NOUN
ajst-11777	61	35	change	change	NOUN
ajst-11777	61	36	trend	trend	NOUN
ajst-11777	61	37	.	.	PUNCT
ajst-11777	62	1	we	we	PRON
ajst-11777	62	2	use	use	VERB
ajst-11777	62	3	the	the	DET
ajst-11777	62	4	established	establish	VERB
ajst-11777	62	5	gm	gm	PROPN
ajst-11777	62	6	(	(	PUNCT
ajst-11777	62	7	1	1	NUM
ajst-11777	62	8	,	,	PUNCT
ajst-11777	62	9	1	1	X
ajst-11777	62	10	)	)	PUNCT
ajst-11777	62	11	model	model	NOUN
ajst-11777	62	12	to	to	PART
ajst-11777	62	13	predict	predict	VERB
ajst-11777	62	14	the	the	DET
ajst-11777	62	15	global	global	ADJ
ajst-11777	62	16	average	average	ADJ
ajst-11777	62	17	temperature	temperature	NOUN
ajst-11777	62	18	in	in	ADP
ajst-11777	62	19	2050	2050	NUM
ajst-11777	62	20	and	and	CCONJ
ajst-11777	62	21	2100	2100	NUM
ajst-11777	62	22	and	and	CCONJ
ajst-11777	62	23	plot	plot	VERB
ajst-11777	62	24	the	the	DET
ajst-11777	62	25	following	follow	VERB
ajst-11777	62	26	prediction	prediction	NOUN
ajst-11777	62	27	series	series	NOUN
ajst-11777	62	28	as	as	ADP
ajst-11777	62	29	figure	figure	NOUN
ajst-11777	62	30	3	3	NUM
ajst-11777	62	31	.	.	PUNCT
ajst-11777	62	32	figure	figure	NOUN
ajst-11777	62	33	3	3	NUM
ajst-11777	62	34	.	.	PUNCT
ajst-11777	63	1	gm	gm	PROPN
ajst-11777	63	2	(	(	PUNCT
ajst-11777	63	3	1	1	NUM
ajst-11777	63	4	,	,	PUNCT
ajst-11777	63	5	1	1	X
ajst-11777	63	6	)	)	PUNCT
ajst-11777	63	7	prediction	prediction	NOUN
ajst-11777	63	8	it	it	PRON
ajst-11777	63	9	is	be	AUX
ajst-11777	63	10	predicted	predict	VERB
ajst-11777	63	11	that	that	SCONJ
ajst-11777	63	12	the	the	DET
ajst-11777	63	13	global	global	ADJ
ajst-11777	63	14	temperature	temperature	NOUN
ajst-11777	63	15	will	will	AUX
ajst-11777	63	16	reach	reach	VERB
ajst-11777	63	17	10.65	10.65	NUM
ajst-11777	63	18	℃	℃	PROPN
ajst-11777	63	19	in	in	ADP
ajst-11777	63	20	2050	2050	NUM
ajst-11777	63	21	and	and	CCONJ
ajst-11777	63	22	12.04	12.04	NUM
ajst-11777	63	23	℃	℃	PROPN
ajst-11777	63	24	in	in	ADP
ajst-11777	63	25	2100	2100	NUM
ajst-11777	63	26	.	.	PUNCT
ajst-11777	64	1	so	so	ADV
ajst-11777	64	2	,	,	PUNCT
ajst-11777	64	3	we	we	PRON
ajst-11777	64	4	do	do	AUX
ajst-11777	64	5	not	not	PART
ajst-11777	64	6	agree	agree	VERB
ajst-11777	64	7	that	that	SCONJ
ajst-11777	64	8	the	the	DET
ajst-11777	64	9	global	global	ADJ
ajst-11777	64	10	temperature	temperature	NOUN
ajst-11777	64	11	will	will	AUX
ajst-11777	64	12	reach	reach	VERB
ajst-11777	64	13	20	20	NUM
ajst-11777	64	14	℃	℃	PROPN
ajst-11777	64	15	in	in	ADP
ajst-11777	64	16	2050	2050	NUM
ajst-11777	64	17	or	or	CCONJ
ajst-11777	64	18	2100	2100	NUM
ajst-11777	64	19	.	.	PUNCT
ajst-11777	65	1	according	accord	VERB
ajst-11777	65	2	to	to	ADP
ajst-11777	65	3	gm	gm	PROPN
ajst-11777	65	4	(	(	PUNCT
ajst-11777	65	5	1	1	NUM
ajst-11777	65	6	,	,	PUNCT
ajst-11777	65	7	1	1	NUM
ajst-11777	65	8	)	)	PUNCT
ajst-11777	65	9	we	we	PRON
ajst-11777	65	10	can	can	AUX
ajst-11777	65	11	predict	predict	VERB
ajst-11777	65	12	that	that	SCONJ
ajst-11777	65	13	the	the	DET
ajst-11777	65	14	global	global	ADJ
ajst-11777	65	15	temperature	temperature	NOUN
ajst-11777	65	16	will	will	AUX
ajst-11777	65	17	reach	reach	VERB
ajst-11777	65	18	20	20	NUM
ajst-11777	65	19	℃	℃	PROPN
ajst-11777	65	20	in	in	ADP
ajst-11777	65	21	2338	2338	NUM
ajst-11777	65	22	.	.	PUNCT
ajst-11777	66	1	3	3	X
ajst-11777	66	2	.	.	NOUN
ajst-11777	66	3	holt	holt	PROPN
ajst-11777	66	4	model	model	PROPN
ajst-11777	66	5	3.1	3.1	NUM
ajst-11777	66	6	the	the	DET
ajst-11777	66	7	establishment	establishment	NOUN
ajst-11777	66	8	of	of	ADP
ajst-11777	66	9	data	datum	NOUN
ajst-11777	66	10	computation	computation	NOUN
ajst-11777	66	11	the	the	DET
ajst-11777	66	12	holt	holt	PROPN
ajst-11777	66	13	model	model	NOUN
ajst-11777	66	14	is	be	AUX
ajst-11777	66	15	an	an	DET
ajst-11777	66	16	upgraded	upgrade	VERB
ajst-11777	66	17	version	version	NOUN
ajst-11777	66	18	of	of	ADP
ajst-11777	66	19	the	the	DET
ajst-11777	66	20	simple	simple	ADJ
ajst-11777	66	21	linear	linear	ADJ
ajst-11777	66	22	exponential	exponential	ADJ
ajst-11777	66	23	smoothing	smoothing	NOUN
ajst-11777	66	24	model	model	NOUN
ajst-11777	66	25	with	with	ADP
ajst-11777	66	26	the	the	DET
ajst-11777	66	27	advantage	advantage	NOUN
ajst-11777	66	28	of	of	ADP
ajst-11777	66	29	great	great	ADJ
ajst-11777	66	30	flexibility	flexibility	NOUN
ajst-11777	66	31	in	in	ADP
ajst-11777	66	32	smoothing	smooth	VERB
ajst-11777	66	33	the	the	DET
ajst-11777	66	34	two	two	NUM
ajst-11777	66	35	factors	factor	NOUN
ajst-11777	66	36	of	of	ADP
ajst-11777	66	37	the	the	DET
ajst-11777	66	38	original	original	ADJ
ajst-11777	66	39	series	series	NOUN
ajst-11777	66	40	64	64	NUM
ajst-11777	66	41	using	use	VERB
ajst-11777	66	42	different	different	ADJ
ajst-11777	66	43	smoothing	smoothing	NOUN
ajst-11777	66	44	parameters	parameter	NOUN
ajst-11777	66	45	.	.	PUNCT
ajst-11777	67	1	the	the	DET
ajst-11777	67	2	difference	difference	NOUN
ajst-11777	67	3	between	between	ADP
ajst-11777	67	4	it	it	PRON
ajst-11777	67	5	and	and	CCONJ
ajst-11777	67	6	the	the	DET
ajst-11777	67	7	general	general	ADJ
ajst-11777	67	8	exponential	exponential	ADJ
ajst-11777	67	9	smoothing	smoothing	NOUN
ajst-11777	67	10	model	model	NOUN
ajst-11777	67	11	is	be	AUX
ajst-11777	67	12	that	that	SCONJ
ajst-11777	67	13	it	it	PRON
ajst-11777	67	14	directly	directly	ADV
ajst-11777	67	15	smoothes	smooth	VERB
ajst-11777	67	16	the	the	DET
ajst-11777	67	17	trend	trend	NOUN
ajst-11777	67	18	data	datum	NOUN
ajst-11777	67	19	and	and	CCONJ
ajst-11777	67	20	forecasts	forecast	VERB
ajst-11777	67	21	the	the	DET
ajst-11777	67	22	original	original	ADJ
ajst-11777	67	23	time	time	NOUN
ajst-11777	67	24	series	series	NOUN
ajst-11777	67	25	,	,	PUNCT
ajst-11777	67	26	and	and	CCONJ
ajst-11777	67	27	all	all	PRON
ajst-11777	67	28	that	that	PRON
ajst-11777	67	29	needs	need	VERB
ajst-11777	67	30	to	to	PART
ajst-11777	67	31	be	be	AUX
ajst-11777	67	32	taken	take	VERB
ajst-11777	67	33	into	into	ADP
ajst-11777	67	34	account	account	NOUN
ajst-11777	67	35	is	be	AUX
ajst-11777	67	36	the	the	DET
ajst-11777	67	37	selection	selection	NOUN
ajst-11777	67	38	of	of	ADP
ajst-11777	67	39	the	the	DET
ajst-11777	67	40	two	two	NUM
ajst-11777	67	41	smoothing	smooth	VERB
ajst-11777	67	42	parameters	parameter	NOUN
ajst-11777	67	43	and	and	CCONJ
ajst-11777	67	44	the	the	DET
ajst-11777	67	45	initial	initial	ADJ
ajst-11777	67	46	values	value	NOUN
ajst-11777	67	47	,	,	PUNCT
ajst-11777	67	48	which	which	PRON
ajst-11777	67	49	is	be	AUX
ajst-11777	67	50	also	also	ADV
ajst-11777	67	51	known	know	VERB
ajst-11777	67	52	as	as	ADP
ajst-11777	67	53	the	the	DET
ajst-11777	67	54	holt	holt	PROPN
ajst-11777	67	55	two	two	NUM
ajst-11777	67	56	-	-	PUNCT
ajst-11777	67	57	parameter	parameter	NOUN
ajst-11777	67	58	linear	linear	ADJ
ajst-11777	67	59	exponential	exponential	ADJ
ajst-11777	67	60	smoothing	smoothing	NOUN
ajst-11777	67	61	model	model	NOUN
ajst-11777	67	62	.	.	PUNCT
ajst-11777	68	1	1	1	NUM
ajst-11777	68	2	11	11	NUM
ajst-11777	68	3	(	(	PUNCT
ajst-11777	68	4	1	1	NUM
ajst-11777	68	5	)	)	PUNCT
ajst-11777	68	6	(	(	PUNCT
ajst-11777	68	7	)	)	PUNCT
ajst-11777	68	8	(	(	PUNCT
ajst-11777	68	9	)	)	PUNCT
ajst-11777	68	10	(	(	PUNCT
ajst-11777	68	11	1	1	X
ajst-11777	68	12	)	)	PUNCT
ajst-11777	68	13	t	t	NOUN
ajst-11777	68	14	t	t	PROPN
ajst-11777	68	15	t	t	PROPN
ajst-11777	68	16	t	t	PROPN
ajst-11777	68	17	t	t	PROPN
ajst-11777	68	18	t	t	X
ajst-11777	68	19	tt	tt	PROPN
ajst-11777	68	20	l	l	PROPN
ajst-11777	69	1	d	d	PROPN
ajst-11777	69	2	l	l	PROPN
ajst-11777	69	3	t	t	NOUN
ajst-11777	69	4	t	t	PROPN
ajst-11777	69	5	l	l	PROPN
ajst-11777	69	6	l	l	PROPN
ajst-11777	69	7	t	t	NOUN
ajst-11777	69	8			ADV
ajst-11777	69	9			PROPN
ajst-11777	69	10			PROPN
ajst-11777	69	11			ADJ
ajst-11777	69	12			PROPN
ajst-11777	69	13			VERB
ajst-11777	69	14			PROPN
ajst-11777	69	15			PROPN
ajst-11777	69	16			VERB
ajst-11777	69	17			PROPN
ajst-11777	69	18	α	α	PROPN
ajst-11777	69	19	α	α	PROPN
ajst-11777	69	20	γ	γ	PROPN
ajst-11777	69	21	γ	γ	X
ajst-11777	69	22	(	(	PUNCT
ajst-11777	69	23	5	5	NUM
ajst-11777	69	24	)	)	PUNCT
ajst-11777	69	25	it	it	PRON
ajst-11777	69	26	is	be	AUX
ajst-11777	69	27	predicted	predict	VERB
ajst-11777	69	28	by	by	ADP
ajst-11777	69	29	the	the	DET
ajst-11777	69	30	following	follow	VERB
ajst-11777	69	31	equation	equation	NOUN
ajst-11777	69	32	.	.	PUNCT
ajst-11777	70	1	11	11	NUM
ajst-11777	70	2	1tt	1tt	NOUN
ajst-11777	70	3	tf	tf	INTJ
ajst-11777	71	1	l	l	NOUN
ajst-11777	72	1	t	t	X
ajst-11777	72	2			ADJ
ajst-11777	72	3			PUNCT
ajst-11777	72	4	(	(	PUNCT
ajst-11777	72	5	6	6	NUM
ajst-11777	72	6	)	)	PUNCT
ajst-11777	72	7	where	where	SCONJ
ajst-11777	72	8	,	,	PUNCT
ajst-11777	72	9	αand	αand	ADV
ajst-11777	72	10	γrepresent	γrepresent	VERB
ajst-11777	72	11	the	the	DET
ajst-11777	72	12	two	two	NUM
ajst-11777	72	13	smoothing	smooth	VERB
ajst-11777	72	14	parameters	parameter	NOUN
ajst-11777	72	15	that	that	PRON
ajst-11777	72	16	affect	affect	VERB
ajst-11777	72	17	the	the	DET
ajst-11777	72	18	forecasted	forecast	VERB
ajst-11777	72	19	values	value	NOUN
ajst-11777	72	20	;	;	PUNCT
ajst-11777	72	21	dt	dt	PUNCT
ajst-11777	72	22	represents	represent	VERB
ajst-11777	72	23	the	the	DET
ajst-11777	72	24	actual	actual	ADJ
ajst-11777	72	25	value	value	NOUN
ajst-11777	72	26	;	;	PUNCT
ajst-11777	72	27	ft+1represents	ft+1represent	NOUN
ajst-11777	72	28	the	the	DET
ajst-11777	72	29	forecasted	forecast	VERB
ajst-11777	72	30	value	value	NOUN
ajst-11777	72	31	;	;	PUNCT
ajst-11777	72	32	lt	lt	NOUN
ajst-11777	72	33	represents	represent	VERB
ajst-11777	72	34	the	the	DET
ajst-11777	72	35	average	average	ADJ
ajst-11777	72	36	demand	demand	NOUN
ajst-11777	72	37	;	;	PUNCT
ajst-11777	72	38	tt	tt	PROPN
ajst-11777	72	39	represents	represent	VERB
ajst-11777	72	40	the	the	DET
ajst-11777	72	41	trend	trend	NOUN
ajst-11777	72	42	of	of	ADP
ajst-11777	72	43	growth	growth	NOUN
ajst-11777	72	44	,	,	PUNCT
ajst-11777	72	45	the	the	DET
ajst-11777	72	46	former	former	ADJ
ajst-11777	72	47	is	be	AUX
ajst-11777	72	48	a	a	DET
ajst-11777	72	49	smoothing	smooth	VERB
ajst-11777	72	50	equation	equation	NOUN
ajst-11777	72	51	for	for	ADP
ajst-11777	72	52	the	the	DET
ajst-11777	72	53	trend	trend	NOUN
ajst-11777	72	54	of	of	ADP
ajst-11777	72	55	the	the	DET
ajst-11777	72	56	time	time	NOUN
ajst-11777	72	57	series	series	NOUN
ajst-11777	72	58	;	;	PUNCT
ajst-11777	72	59	the	the	DET
ajst-11777	72	60	latter	latter	NOUN
ajst-11777	72	61	is	be	AUX
ajst-11777	72	62	a	a	DET
ajst-11777	72	63	smoothing	smooth	VERB
ajst-11777	72	64	equation	equation	NOUN
ajst-11777	72	65	for	for	ADP
ajst-11777	72	66	the	the	DET
ajst-11777	72	67	increment	increment	NOUN
ajst-11777	72	68	of	of	ADP
ajst-11777	72	69	the	the	DET
ajst-11777	72	70	trend	trend	NOUN
ajst-11777	72	71	.	.	PUNCT
ajst-11777	73	1	in	in	ADP
ajst-11777	73	2	figure	figure	NOUN
ajst-11777	73	3	4	4	NUM
ajst-11777	73	4	,	,	PUNCT
ajst-11777	73	5	we	we	PRON
ajst-11777	73	6	can	can	AUX
ajst-11777	73	7	see	see	VERB
ajst-11777	73	8	that	that	SCONJ
ajst-11777	73	9	the	the	DET
ajst-11777	73	10	data	datum	NOUN
ajst-11777	73	11	used	use	VERB
ajst-11777	73	12	is	be	AUX
ajst-11777	73	13	really	really	ADV
ajst-11777	73	14	not	not	PART
ajst-11777	73	15	seasonal	seasonal	ADJ
ajst-11777	73	16	and	and	CCONJ
ajst-11777	73	17	linear	linear	ADJ
ajst-11777	73	18	,	,	PUNCT
ajst-11777	73	19	so	so	ADV
ajst-11777	73	20	we	we	PRON
ajst-11777	73	21	considered	consider	VERB
ajst-11777	73	22	trying	try	VERB
ajst-11777	73	23	to	to	PART
ajst-11777	73	24	use	use	VERB
ajst-11777	73	25	the	the	DET
ajst-11777	73	26	holt	holt	PROPN
ajst-11777	73	27	model	model	NOUN
ajst-11777	73	28	to	to	PART
ajst-11777	73	29	describe	describe	VERB
ajst-11777	73	30	and	and	CCONJ
ajst-11777	73	31	predict	predict	VERB
ajst-11777	73	32	the	the	DET
ajst-11777	73	33	data	datum	NOUN
ajst-11777	73	34	.	.	PUNCT
ajst-11777	74	1	we	we	PRON
ajst-11777	74	2	used	use	VERB
ajst-11777	74	3	spss	spss	PROPN
ajst-11777	74	4	to	to	PART
ajst-11777	74	5	solve	solve	VERB
ajst-11777	74	6	the	the	DET
ajst-11777	74	7	holt	holt	PROPN
ajst-11777	74	8	model	model	NOUN
ajst-11777	74	9	,	,	PUNCT
ajst-11777	74	10	using	use	VERB
ajst-11777	74	11	the	the	DET
ajst-11777	74	12	historical	historical	ADJ
ajst-11777	74	13	global	global	ADJ
ajst-11777	74	14	annual	annual	ADJ
ajst-11777	74	15	average	average	ADJ
ajst-11777	74	16	temperature	temperature	NOUN
ajst-11777	74	17	as	as	ADP
ajst-11777	74	18	input	input	NOUN
ajst-11777	74	19	,	,	PUNCT
ajst-11777	74	20	which	which	PRON
ajst-11777	74	21	gives	give	VERB
ajst-11777	74	22	us	we	PRON
ajst-11777	74	23	the	the	DET
ajst-11777	74	24	following	follow	VERB
ajst-11777	74	25	results	result	NOUN
ajst-11777	74	26	.	.	PUNCT
ajst-11777	75	1	figure	figure	VERB
ajst-11777	75	2	4	4	NUM
ajst-11777	75	3	.	.	NOUN
ajst-11777	75	4	holt	holt	PROPN
ajst-11777	75	5	prediction	prediction	NOUN
ajst-11777	75	6	we	we	PRON
ajst-11777	75	7	can	can	AUX
ajst-11777	75	8	obtain	obtain	VERB
ajst-11777	75	9	the	the	DET
ajst-11777	75	10	model	model	NOUN
ajst-11777	75	11	parameter	parameter	NOUN
ajst-11777	75	12	table	table	NOUN
ajst-11777	75	13	.	.	PUNCT
ajst-11777	76	1	table	table	NOUN
ajst-11777	76	2	3	3	NUM
ajst-11777	76	3	.	.	PROPN
ajst-11777	76	4	holt	holt	PROPN
ajst-11777	76	5	parameters	parameters	PROPN
ajst-11777	76	6	estimation	estimation	PROPN
ajst-11777	76	7	standard	standard	ADJ
ajst-11777	76	8	error	error	NOUN
ajst-11777	76	9	significance	significance	NOUN
ajst-11777	76	10	alpha	alpha	NOUN
ajst-11777	76	11	0.032	0.032	NUM
ajst-11777	76	12	0.037	0.037	NUM
ajst-11777	76	13	0.401	0.401	NUM
ajst-11777	76	14	gamma	gamma	NOUN
ajst-11777	76	15	0.845	0.845	NUM
ajst-11777	76	16	1.060	1.060	NUM
ajst-11777	76	17	0.428	0.428	NUM
ajst-11777	76	18	we	we	PRON
ajst-11777	76	19	use	use	VERB
ajst-11777	76	20	holt	holt	PROPN
ajst-11777	76	21	model	model	NOUN
ajst-11777	76	22	for	for	ADP
ajst-11777	76	23	global	global	ADJ
ajst-11777	76	24	average	average	ADJ
ajst-11777	76	25	temperature	temperature	NOUN
ajst-11777	76	26	prediction	prediction	NOUN
ajst-11777	76	27	and	and	CCONJ
ajst-11777	76	28	we	we	PRON
ajst-11777	76	29	can	can	AUX
ajst-11777	76	30	find	find	VERB
ajst-11777	76	31	that	that	SCONJ
ajst-11777	76	32	in	in	ADP
ajst-11777	76	33	the	the	DET
ajst-11777	76	34	prediction	prediction	NOUN
ajst-11777	76	35	model	model	NOUN
ajst-11777	76	36	the	the	DET
ajst-11777	76	37	global	global	ADJ
ajst-11777	76	38	average	average	ADJ
ajst-11777	76	39	annual	annual	ADJ
ajst-11777	76	40	temperature	temperature	NOUN
ajst-11777	76	41	will	will	AUX
ajst-11777	76	42	reach	reach	VERB
ajst-11777	76	43	10.62	10.62	NUM
ajst-11777	76	44	℃	℃	PROPN
ajst-11777	76	45	in	in	ADP
ajst-11777	76	46	2050	2050	NUM
ajst-11777	76	47	and	and	CCONJ
ajst-11777	76	48	11.89	11.89	NUM
ajst-11777	76	49	℃	℃	PROPN
ajst-11777	76	50	in	in	ADP
ajst-11777	76	51	2100	2100	NUM
ajst-11777	76	52	.	.	PUNCT
ajst-11777	77	1	therefore	therefore	ADV
ajst-11777	77	2	,	,	PUNCT
ajst-11777	77	3	the	the	DET
ajst-11777	77	4	model	model	NOUN
ajst-11777	77	5	does	do	AUX
ajst-11777	77	6	not	not	PART
ajst-11777	77	7	agree	agree	VERB
ajst-11777	77	8	that	that	SCONJ
ajst-11777	77	9	the	the	DET
ajst-11777	77	10	global	global	ADJ
ajst-11777	77	11	average	average	ADJ
ajst-11777	77	12	annual	annual	ADJ
ajst-11777	77	13	temperature	temperature	NOUN
ajst-11777	77	14	will	will	AUX
ajst-11777	77	15	reach	reach	VERB
ajst-11777	77	16	20	20	NUM
ajst-11777	77	17	℃	℃	PROPN
ajst-11777	77	18	in	in	ADP
ajst-11777	77	19	2050	2050	NUM
ajst-11777	77	20	or	or	CCONJ
ajst-11777	77	21	2100	2100	NUM
ajst-11777	77	22	.	.	PUNCT
ajst-11777	78	1	after	after	ADP
ajst-11777	78	2	holt	holt	PROPN
ajst-11777	78	3	’s	’s	PART
ajst-11777	78	4	model	model	PROPN
ajst-11777	78	5	calculation	calculation	NOUN
ajst-11777	78	6	,	,	PUNCT
ajst-11777	78	7	we	we	PRON
ajst-11777	78	8	think	think	VERB
ajst-11777	78	9	that	that	SCONJ
ajst-11777	78	10	the	the	DET
ajst-11777	78	11	global	global	ADJ
ajst-11777	78	12	annual	annual	ADJ
ajst-11777	78	13	average	average	ADJ
ajst-11777	78	14	temperature	temperature	NOUN
ajst-11777	78	15	will	will	AUX
ajst-11777	78	16	reach	reach	VERB
ajst-11777	78	17	20	20	NUM
ajst-11777	78	18	℃	℃	PROPN
ajst-11777	78	19	in	in	ADP
ajst-11777	78	20	the	the	DET
ajst-11777	78	21	year	year	NOUN
ajst-11777	78	22	2421	2421	NUM
ajst-11777	78	23	.	.	PUNCT
ajst-11777	79	1	by	by	ADP
ajst-11777	79	2	comparing	compare	VERB
ajst-11777	79	3	the	the	DET
ajst-11777	79	4	parameters	parameter	NOUN
ajst-11777	79	5	of	of	ADP
ajst-11777	79	6	the	the	DET
ajst-11777	79	7	three	three	NUM
ajst-11777	79	8	models	model	NOUN
ajst-11777	79	9	,	,	PUNCT
ajst-11777	79	10	we	we	PRON
ajst-11777	79	11	choose	choose	VERB
ajst-11777	79	12	r2	r2	PROPN
ajst-11777	79	13	as	as	SCONJ
ajst-11777	79	14	the	the	DET
ajst-11777	79	15	three	three	NUM
ajst-11777	79	16	main	main	ADJ
ajst-11777	79	17	parameters	parameter	NOUN
ajst-11777	79	18	to	to	PART
ajst-11777	79	19	compare	compare	VERB
ajst-11777	79	20	the	the	DET
ajst-11777	79	21	accuracy	accuracy	NOUN
ajst-11777	79	22	of	of	ADP
ajst-11777	79	23	the	the	DET
ajst-11777	79	24	models	model	NOUN
ajst-11777	79	25	.	.	PUNCT
ajst-11777	80	1	finally	finally	ADV
ajst-11777	80	2	,	,	PUNCT
ajst-11777	80	3	we	we	PRON
ajst-11777	80	4	found	find	VERB
ajst-11777	80	5	that	that	SCONJ
ajst-11777	80	6	holt	holt	PROPN
ajst-11777	80	7	model	model	NOUN
ajst-11777	80	8	is	be	AUX
ajst-11777	80	9	more	more	ADV
ajst-11777	80	10	accurate	accurate	ADJ
ajst-11777	80	11	among	among	ADP
ajst-11777	80	12	these	these	DET
ajst-11777	80	13	three	three	NUM
ajst-11777	80	14	models	model	NOUN
ajst-11777	80	15	.	.	PUNCT
ajst-11777	81	1	4	4	X
ajst-11777	81	2	.	.	X
ajst-11777	81	3	conclusions	conclusion	NOUN
ajst-11777	81	4	global	global	ADJ
ajst-11777	81	5	warming	warming	NOUN
ajst-11777	81	6	is	be	AUX
ajst-11777	81	7	a	a	DET
ajst-11777	81	8	natural	natural	ADJ
ajst-11777	81	9	phenomenon	phenomenon	NOUN
ajst-11777	81	10	in	in	ADP
ajst-11777	81	11	which	which	PRON
ajst-11777	81	12	the	the	DET
ajst-11777	81	13	accumulation	accumulation	NOUN
ajst-11777	81	14	of	of	ADP
ajst-11777	81	15	energy	energy	NOUN
ajst-11777	81	16	in	in	ADP
ajst-11777	81	17	the	the	DET
ajst-11777	81	18	earth	earth	NOUN
ajst-11777	81	19	's	's	PART
ajst-11777	81	20	atmospheric	atmospheric	ADJ
ajst-11777	81	21	system	system	NOUN
ajst-11777	81	22	leads	lead	VERB
ajst-11777	81	23	to	to	ADP
ajst-11777	81	24	an	an	DET
ajst-11777	81	25	increase	increase	NOUN
ajst-11777	81	26	in	in	ADP
ajst-11777	81	27	temperature	temperature	NOUN
ajst-11777	81	28	,	,	PUNCT
ajst-11777	81	29	which	which	PRON
ajst-11777	81	30	poses	pose	VERB
ajst-11777	81	31	a	a	DET
ajst-11777	81	32	serious	serious	ADJ
ajst-11777	81	33	risk	risk	NOUN
ajst-11777	81	34	to	to	ADP
ajst-11777	81	35	the	the	DET
ajst-11777	81	36	lives	life	NOUN
ajst-11777	81	37	of	of	ADP
ajst-11777	81	38	populations	population	NOUN
ajst-11777	81	39	around	around	ADP
ajst-11777	81	40	the	the	DET
ajst-11777	81	41	world	world	NOUN
ajst-11777	81	42	.	.	PUNCT
ajst-11777	82	1	in	in	ADP
ajst-11777	82	2	order	order	NOUN
ajst-11777	82	3	to	to	PART
ajst-11777	82	4	quantitatively	quantitatively	ADV
ajst-11777	82	5	analyse	analyse	VERB
ajst-11777	82	6	the	the	DET
ajst-11777	82	7	process	process	NOUN
ajst-11777	82	8	of	of	ADP
ajst-11777	82	9	global	global	ADJ
ajst-11777	82	10	temperature	temperature	NOUN
ajst-11777	82	11	change	change	NOUN
ajst-11777	82	12	,	,	PUNCT
ajst-11777	82	13	and	and	CCONJ
ajst-11777	82	14	to	to	PART
ajst-11777	82	15	effectively	effectively	ADV
ajst-11777	82	16	prevent	prevent	VERB
ajst-11777	82	17	the	the	DET
ajst-11777	82	18	further	further	ADJ
ajst-11777	82	19	harm	harm	NOUN
ajst-11777	82	20	caused	cause	VERB
ajst-11777	82	21	by	by	ADP
ajst-11777	82	22	temperature	temperature	NOUN
ajst-11777	82	23	rise	rise	NOUN
ajst-11777	82	24	,	,	PUNCT
ajst-11777	82	25	this	this	DET
ajst-11777	82	26	paper	paper	NOUN
ajst-11777	82	27	establishes	establish	VERB
ajst-11777	82	28	models	model	NOUN
ajst-11777	82	29	to	to	PART
ajst-11777	82	30	predict	predict	VERB
ajst-11777	82	31	the	the	DET
ajst-11777	82	32	process	process	NOUN
ajst-11777	82	33	of	of	ADP
ajst-11777	82	34	temperature	temperature	NOUN
ajst-11777	82	35	change	change	NOUN
ajst-11777	82	36	,	,	PUNCT
ajst-11777	82	37	and	and	CCONJ
ajst-11777	82	38	we	we	PRON
ajst-11777	82	39	establish	establish	VERB
ajst-11777	82	40	the	the	DET
ajst-11777	82	41	gm(1,1	gm(1,1	PROPN
ajst-11777	82	42	)	)	PUNCT
ajst-11777	82	43	model	model	NOUN
ajst-11777	82	44	,	,	PUNCT
ajst-11777	82	45	arima(0,1,1	arima(0,1,1	NOUN
ajst-11777	82	46	)	)	PUNCT
ajst-11777	82	47	model	model	NOUN
ajst-11777	82	48	and	and	CCONJ
ajst-11777	82	49	holt	holt	PROPN
ajst-11777	82	50	model	model	NOUN
ajst-11777	82	51	.	.	PUNCT
ajst-11777	83	1	by	by	ADP
ajst-11777	83	2	primarily	primarily	ADV
ajst-11777	83	3	comparing	compare	VERB
ajst-11777	83	4	the	the	DET
ajst-11777	83	5	fit	fit	NOUN
ajst-11777	83	6	of	of	ADP
ajst-11777	83	7	the	the	DET
ajst-11777	83	8	three	three	NUM
ajst-11777	83	9	models	model	NOUN
ajst-11777	83	10	,	,	PUNCT
ajst-11777	83	11	we	we	PRON
ajst-11777	83	12	concluded	conclude	VERB
ajst-11777	83	13	that	that	SCONJ
ajst-11777	83	14	the	the	DET
ajst-11777	83	15	holt	holt	PROPN
ajst-11777	83	16	model	model	NOUN
ajst-11777	83	17	has	have	VERB
ajst-11777	83	18	the	the	DET
ajst-11777	83	19	highest	high	ADJ
ajst-11777	83	20	predictive	predictive	ADJ
ajst-11777	83	21	accuracy	accuracy	NOUN
ajst-11777	83	22	.	.	PUNCT
ajst-11777	84	1	references	reference	NOUN
ajst-11777	84	2	[	[	X
ajst-11777	84	3	1	1	NUM
ajst-11777	84	4	]	]	PUNCT
ajst-11777	84	5	su	su	PROPN
ajst-11777	84	6	chen	chen	PROPN
ajst-11777	84	7	and	and	CCONJ
ajst-11777	84	8	zhang	zhang	PROPN
ajst-11777	84	9	qingyang	qingyang	PROPN
ajst-11777	84	10	.	.	PUNCT
ajst-11777	85	1	china	china	PROPN
ajst-11777	85	2	leads	lead	VERB
ajst-11777	85	3	the	the	DET
ajst-11777	85	4	global	global	ADJ
ajst-11777	85	5	climate	climate	NOUN
ajst-11777	85	6	governance	governance	NOUN
ajst-11777	85	7	.	.	PUNCT
ajst-11777	86	1	world	world	NOUN
ajst-11777	86	2	environment	environment	PROPN
ajst-11777	86	3	,	,	PUNCT
ajst-11777	86	4	(	(	PUNCT
ajst-11777	86	5	01):32–34	01):32–34	NOUN
ajst-11777	86	6	,	,	PUNCT
ajst-11777	86	7	2021	2021	NUM
ajst-11777	86	8	.	.	PUNCT
ajst-11777	87	1	isbn	isbn	NOUN
ajst-11777	87	2	:	:	PUNCT
ajst-11777	87	3	1003	1003	NUM
ajst-11777	87	4	-	-	SYM
ajst-11777	87	5	2150	2150	NUM
ajst-11777	87	6	.	.	PUNCT
ajst-11777	88	1	[	[	X
ajst-11777	88	2	2	2	NUM
ajst-11777	88	3	]	]	X
ajst-11777	88	4	lu	lu	PROPN
ajst-11777	88	5	zuliang	zuliang	PROPN
ajst-11777	88	6	,	,	PUNCT
ajst-11777	88	7	wu	wu	PROPN
ajst-11777	88	8	xiankui	xiankui	PROPN
ajst-11777	88	9	,	,	PUNCT
ajst-11777	88	10	cai	cai	PROPN
ajst-11777	88	11	fei	fei	PROPN
ajst-11777	88	12	,	,	PUNCT
ajst-11777	88	13	huang	huang	PROPN
ajst-11777	88	14	fei	fei	PROPN
ajst-11777	88	15	,	,	PUNCT
ajst-11777	88	16	and	and	CCONJ
ajst-11777	88	17	zhou	zhou	PROPN
ajst-11777	88	18	langhao	langhao	PROPN
ajst-11777	88	19	.	.	PUNCT
ajst-11777	88	20	prediction	prediction	NOUN
ajst-11777	88	21	of	of	ADP
ajst-11777	88	22	global	global	ADJ
ajst-11777	88	23	climate	climate	NOUN
ajst-11777	88	24	change	change	NOUN
ajst-11777	88	25	trends	trend	NOUN
ajst-11777	88	26	based	base	VERB
ajst-11777	88	27	on	on	ADP
ajst-11777	88	28	grey	grey	ADJ
ajst-11777	88	29	prediction	prediction	NOUN
ajst-11777	88	30	models	model	NOUN
ajst-11777	88	31	.	.	PUNCT
ajst-11777	89	1	journal	journal	NOUN
ajst-11777	89	2	of	of	ADP
ajst-11777	89	3	harbin	harbin	PROPN
ajst-11777	89	4	university	university	PROPN
ajst-11777	89	5	of	of	ADP
ajst-11777	89	6	commerce	commerce	PROPN
ajst-11777	89	7	(	(	PUNCT
ajst-11777	89	8	natural	natural	ADJ
ajst-11777	89	9	science	science	NOUN
ajst-11777	89	10	edition	edition	NOUN
ajst-11777	89	11	)	)	PUNCT
ajst-11777	89	12	,	,	PUNCT
ajst-11777	89	13	37(03):363–367	37(03):363–367	NUM
ajst-11777	89	14	,	,	PUNCT
ajst-11777	89	15	2021	2021	NUM
ajst-11777	89	16	.	.	PUNCT
ajst-11777	90	1	isbn	isbn	ADJ
ajst-11777	90	2	:	:	PUNCT
ajst-11777	90	3	16720946	16720946	NUM
ajst-11777	90	4	type	type	NOUN
ajst-11777	90	5	:	:	PUNCT
ajst-11777	90	6	10.19492	10.19492	NUM
ajst-11777	90	7	/	/	SYM
ajst-11777	90	8	j.cnki.16720946.2021.03.017	j.cnki.16720946.2021.03.017	NOUN
ajst-11777	90	9	.	.	PUNCT
ajst-11777	91	1	[	[	X
ajst-11777	91	2	3	3	X
ajst-11777	91	3	]	]	X
ajst-11777	91	4	zhou	zhou	PROPN
ajst-11777	91	5	xinran	xinran	PROPN
ajst-11777	91	6	.	.	PUNCT
ajst-11777	92	1	impact	impact	NOUN
ajst-11777	92	2	of	of	ADP
ajst-11777	92	3	global	global	ADJ
ajst-11777	92	4	temperature	temperature	NOUN
ajst-11777	92	5	change	change	NOUN
ajst-11777	92	6	on	on	ADP
ajst-11777	92	7	energy	energy	NOUN
ajst-11777	92	8	and	and	CCONJ
ajst-11777	92	9	related	relate	VERB
ajst-11777	92	10	metal	metal	NOUN
ajst-11777	92	11	commodity	commodity	NOUN
ajst-11777	92	12	prices	price	NOUN
ajst-11777	92	13	[	[	X
ajst-11777	92	14	d	d	X
ajst-11777	92	15	]	]	X
ajst-11777	92	16	.	.	PUNCT
ajst-11777	93	1	shandong	shandong	PROPN
ajst-11777	93	2	university	university	PROPN
ajst-11777	93	3	,	,	PUNCT
ajst-11777	93	4	2022	2022	NUM
ajst-11777	93	5	.	.	PUNCT
ajst-11777	94	1	[	[	X
ajst-11777	94	2	4	4	X
ajst-11777	94	3	]	]	X
ajst-11777	94	4	b.	b.	PROPN
ajst-11777	94	5	e.	e.	PROPN
ajst-11777	94	6	brown	brown	PROPN
ajst-11777	94	7	,	,	PUNCT
ajst-11777	94	8	r.	r.	PROPN
ajst-11777	94	9	p.	p.	PROPN
ajst-11777	94	10	dunne	dunne	PROPN
ajst-11777	94	11	,	,	PUNCT
ajst-11777	94	12	p.	p.	PROPN
ajst-11777	94	13	j.	j.	PROPN
ajst-11777	94	14	somerfifield	somerfifield	PROPN
ajst-11777	94	15	,	,	PUNCT
ajst-11777	94	16	a.	a.	PROPN
ajst-11777	94	17	j.	j.	PROPN
ajst-11777	94	18	edwards	edwards	PROPN
ajst-11777	94	19	,	,	PUNCT
ajst-11777	94	20	w.	w.	PROPN
ajst-11777	94	21	j.	j.	PROPN
ajst-11777	94	22	f.	f.	PROPN
ajst-11777	94	23	simons	simons	PROPN
ajst-11777	94	24	,	,	PUNCT
ajst-11777	94	25	n.	n.	PROPN
ajst-11777	94	26	phongsuwan	phongsuwan	PROPN
ajst-11777	94	27	,	,	PUNCT
ajst-11777	94	28	l.	l.	PROPN
ajst-11777	94	29	putchim	putchim	PROPN
ajst-11777	94	30	,	,	PUNCT
ajst-11777	94	31	l.	l.	PROPN
ajst-11777	94	32	anderson	anderson	PROPN
ajst-11777	94	33	,	,	PUNCT
ajst-11777	94	34	and	and	CCONJ
ajst-11777	94	35	m.	m.	PROPN
ajst-11777	94	36	c.	c.	PROPN
ajst-11777	94	37	naeije	naeije	PROPN
ajst-11777	94	38	.	.	PUNCT
ajst-11777	95	1	long	long	ADJ
ajst-11777	95	2	-	-	PUNCT
ajst-11777	95	3	term	term	NOUN
ajst-11777	95	4	impacts	impact	NOUN
ajst-11777	95	5	of	of	ADP
ajst-11777	95	6	rising	rise	VERB
ajst-11777	95	7	sea	sea	NOUN
ajst-11777	95	8	temperature	temperature	NOUN
ajst-11777	95	9	and	and	CCONJ
ajst-11777	95	10	sea	sea	NOUN
ajst-11777	95	11	level	level	NOUN
ajst-11777	95	12	on	on	ADP
ajst-11777	95	13	shallow	shallow	ADJ
ajst-11777	95	14	water	water	NOUN
ajst-11777	95	15	coral	coral	ADJ
ajst-11777	95	16	communities	community	NOUN
ajst-11777	95	17	over	over	ADP
ajst-11777	95	18	a	a	DET
ajst-11777	95	19	40	40	NUM
ajst-11777	95	20	year	year	NOUN
ajst-11777	95	21	period	period	NOUN
ajst-11777	95	22	.	.	PUNCT
ajst-11777	96	1	scientifific	scientifific	ADJ
ajst-11777	96	2	reports	report	NOUN
ajst-11777	96	3	,	,	PUNCT
ajst-11777	96	4	9(1):8826	9(1):8826	NUM
ajst-11777	96	5	,	,	PUNCT
ajst-11777	96	6	june	june	PROPN
ajst-11777	96	7	2019	2019	NUM
ajst-11777	96	8	.	.	PUNCT
ajst-11777	97	1	[	[	X
ajst-11777	97	2	5	5	NUM
ajst-11777	97	3	]	]	PUNCT
ajst-11777	97	4	zeyuan	zeyuan	PROPN
ajst-11777	97	5	hu	hu	PROPN
ajst-11777	97	6	,	,	PUNCT
ajst-11777	97	7	aixue	aixue	NOUN
ajst-11777	97	8	hu	hu	PROPN
ajst-11777	97	9	,	,	PUNCT
ajst-11777	97	10	and	and	CCONJ
ajst-11777	97	11	yongyun	yongyun	PROPN
ajst-11777	97	12	hu	hu	PROPN
ajst-11777	97	13	.	.	PUNCT
ajst-11777	98	1	contributions	contribution	NOUN
ajst-11777	98	2	of	of	ADP
ajst-11777	98	3	interdecadal	interdecadal	NOUN
ajst-11777	98	4	pacifific	pacifific	VERB
ajst-11777	98	5	oscillation	oscillation	NOUN
ajst-11777	98	6	and	and	CCONJ
ajst-11777	98	7	atlantic	atlantic	ADJ
ajst-11777	98	8	multidecadal	multidecadal	ADJ
ajst-11777	98	9	oscillation	oscillation	NOUN
ajst-11777	98	10	to	to	ADP
ajst-11777	98	11	global	global	ADJ
ajst-11777	98	12	ocean	ocean	NOUN
ajst-11777	98	13	heat	heat	NOUN
ajst-11777	98	14	content	content	NOUN
ajst-11777	98	15	distribution	distribution	NOUN
ajst-11777	98	16	.	.	PUNCT
ajst-11777	99	1	journal	journal	NOUN
ajst-11777	99	2	of	of	ADP
ajst-11777	99	3	65	65	NUM
ajst-11777	99	4	climate	climate	NOUN
ajst-11777	99	5	,	,	PUNCT
ajst-11777	99	6	31	31	NUM
ajst-11777	99	7	(	(	PUNCT
ajst-11777	99	8	3	3	NUM
ajst-11777	99	9	):	):	PUNCT
ajst-11777	99	10	1227–1244	1227–1244	NUM
ajst-11777	99	11	,	,	PUNCT
ajst-11777	99	12	2018	2018	NUM
ajst-11777	99	13	.	.	PUNCT
ajst-11777	100	1	publisher	publisher	NOUN
ajst-11777	100	2	:	:	PUNCT
ajst-11777	100	3	american	american	ADJ
ajst-11777	100	4	meteorological	meteorological	ADJ
ajst-11777	100	5	society	society	NOUN
ajst-11777	100	6	.	.	PUNCT
ajst-11777	101	1	[	[	X
ajst-11777	101	2	6	6	NUM
ajst-11777	101	3	]	]	X
ajst-11777	101	4	guo	guo	PROPN
ajst-11777	101	5	innovation	innovation	NOUN
ajst-11777	101	6	,	,	PUNCT
ajst-11777	101	7	wang	wang	PROPN
ajst-11777	101	8	yang	yang	PROPN
ajst-11777	101	9	,	,	PUNCT
ajst-11777	101	10	and	and	CCONJ
ajst-11777	101	11	shen	shen	PROPN
ajst-11777	101	12	yong	yong	PROPN
ajst-11777	101	13	.	.	PROPN
ajst-11777	101	14	multivariate	multivariate	VERB
ajst-11777	101	15	local	local	ADJ
ajst-11777	101	16	prediction	prediction	NOUN
ajst-11777	101	17	method	method	NOUN
ajst-11777	101	18	of	of	ADP
ajst-11777	101	19	short	short	ADJ
ajst-11777	101	20	-	-	PUNCT
ajst-11777	101	21	term	term	NOUN
ajst-11777	101	22	wind	wind	NOUN
ajst-11777	101	23	speed	speed	NOUN
ajst-11777	101	24	in	in	ADP
ajst-11777	101	25	wind	wind	NOUN
ajst-11777	101	26	farms	farm	NOUN
ajst-11777	101	27	.	.	PUNCT
ajst-11777	102	1	chinese	chinese	ADJ
ajst-11777	102	2	journal	journal	PROPN
ajst-11777	102	3	of	of	ADP
ajst-11777	102	4	electrical	electrical	ADJ
ajst-11777	102	5	engineering,32(01):24	engineering,32(01):24	PROPN
ajst-11777	102	6	–	–	PUNCT
ajst-11777	102	7	31	31	NUM
ajst-11777	102	8	+	+	NUM
ajst-11777	102	9	22,2012.isbn:0258	22,2012.isbn:0258	NUM
ajst-11777	102	10	-	-	SYM
ajst-11777	102	11	8013	8013	NUM
ajst-11777	102	12	type	type	NOUN
ajst-11777	102	13	:	:	PUNCT
ajst-11777	102	14	10.13334	10.13334	NUM
ajst-11777	102	15	/	/	SYM
ajst-11777	102	16	j.0258	j.0258	PROPN
ajst-11777	102	17	8013.pcsee.2012.01.009	8013.pcsee.2012.01.009	NUM
ajst-11777	102	18	.	.	PUNCT
ajst-11777	103	1	[	[	X
ajst-11777	103	2	7	7	X
ajst-11777	103	3	]	]	X
ajst-11777	103	4	che	che	X
ajst-11777	103	5	xiaoyi	xiaoyi	PROPN
ajst-11777	103	6	luo	luo	PROPN
ajst-11777	103	7	youxin	youxin	PROPN
ajst-11777	103	8	.	.	PUNCT
ajst-11777	104	1	multivariate	multivariate	NOUN
ajst-11777	104	2	grey	grey	PROPN
ajst-11777	104	3	optimization	optimization	NOUN
ajst-11777	104	4	model	model	NOUN
ajst-11777	104	5	for	for	ADP
ajst-11777	104	6	the	the	DET
ajst-11777	104	7	analysis	analysis	NOUN
ajst-11777	104	8	of	of	ADP
ajst-11777	104	9	the	the	DET
ajst-11777	104	10	tribological	tribological	ADJ
ajst-11777	104	11	properties	property	NOUN
ajst-11777	104	12	of	of	ADP
ajst-11777	104	13	thin	thin	ADJ
ajst-11777	104	14	fifilm	fifilm	NOUN
ajst-11777	104	15	coatings	coating	NOUN
ajst-11777	104	16	.	.	PUNCT
ajst-11777	105	1	oil	oil	NOUN
ajst-11777	105	2	slip	slip	NOUN
ajst-11777	105	3	and	and	CCONJ
ajst-11777	105	4	sealing	sealing	NOUN
ajst-11777	105	5	,	,	PUNCT
ajst-11777	105	6	(	(	PUNCT
ajst-11777	105	7	03):58–61	03):58–61	PROPN
ajst-11777	105	8	,	,	PUNCT
ajst-11777	105	9	2008	2008	NUM
ajst-11777	105	10	.	.	PUNCT
ajst-11777	106	1	isbn	isbn	NOUN
ajst-11777	106	2	:	:	PUNCT
ajst-11777	106	3	02540150	02540150	NUM
ajst-11777	106	4	.	.	PUNCT
ajst-11777	107	1	[	[	X
ajst-11777	107	2	8	8	NUM
ajst-11777	107	3	]	]	X
ajst-11777	107	4	chen	chen	PROPN
ajst-11777	107	5	zhenkun	zhenkun	PROPN
ajst-11777	107	6	,	,	PUNCT
ajst-11777	107	7	jia	jia	PROPN
ajst-11777	107	8	j	j	PROPN
ajst-11777	107	9	,	,	PUNCT
ajst-11777	107	10	yuan	yuan	NOUN
ajst-11777	107	11	chenran	chenran	NOUN
ajst-11777	107	12	,	,	PUNCT
ajst-11777	107	13	and	and	CCONJ
ajst-11777	107	14	xu	xu	PROPN
ajst-11777	107	15	rui	rui	PROPN
ajst-11777	107	16	.	.	PUNCT
ajst-11777	108	1	application	application	NOUN
ajst-11777	108	2	of	of	ADP
ajst-11777	108	3	multiple	multiple	ADJ
ajst-11777	108	4	nonlinear	nonlinear	ADJ
ajst-11777	108	5	regression	regression	NOUN
ajst-11777	108	6	models	model	NOUN
ajst-11777	108	7	to	to	ADP
ajst-11777	108	8	climate	climate	NOUN
ajst-11777	108	9	warming	warming	NOUN
ajst-11777	108	10	.	.	PUNCT
ajst-11777	109	1	journal	journal	PROPN
ajst-11777	109	2	of	of	ADP
ajst-11777	109	3	henan	henan	PROPN
ajst-11777	109	4	university	university	PROPN
ajst-11777	109	5	of	of	ADP
ajst-11777	109	6	science	science	NOUN
ajst-11777	109	7	and	and	CCONJ
ajst-11777	109	8	technology	technology	NOUN
ajst-11777	109	9	(	(	PUNCT
ajst-11777	109	10	nature	nature	NOUN
ajst-11777	109	11	science	science	NOUN
ajst-11777	109	12	edition	edition	PROPN
ajst-11777	109	13	)	)	PUNCT
ajst-11777	109	14	,	,	PUNCT
ajst-11777	109	15	48(03):60–67	48(03):60–67	NUM
ajst-11777	109	16	,	,	PUNCT
ajst-11777	109	17	2020	2020	NUM
ajst-11777	109	18	.	.	PUNCT
ajst-11777	110	1	isbn	isbn	NOUN
ajst-11777	110	2	:	:	PUNCT
ajst-11777	110	3	10087516	10087516	NUM
ajst-11777	110	4	.	.	PUNCT
ajst-11777	111	1	[	[	X
ajst-11777	111	2	9	9	NUM
ajst-11777	111	3	]	]	PUNCT
ajst-11777	111	4	qi	qi	PROPN
ajst-11777	111	5	qinghua	qinghua	PROPN
ajst-11777	111	6	and	and	CCONJ
ajst-11777	111	7	cai	cai	PROPN
ajst-11777	111	8	rongshuo	rongshuo	PROPN
ajst-11777	111	9	.	.	PUNCT
ajst-11777	112	1	study	study	NOUN
ajst-11777	112	2	on	on	ADP
ajst-11777	112	3	the	the	DET
ajst-11777	112	4	extreme	extreme	ADJ
ajst-11777	112	5	characteristics	characteristic	NOUN
ajst-11777	112	6	of	of	ADP
ajst-11777	112	7	offffshore	offffshore	NOUN
ajst-11777	112	8	sea	sea	NOUN
ajst-11777	112	9	surface	surface	NOUN
ajst-11777	112	10	temperature	temperature	NOUN
ajst-11777	112	11	change	change	NOUN
ajst-11777	112	12	and	and	CCONJ
ajst-11777	112	13	its	its	PRON
ajst-11777	112	14	climate	climate	NOUN
ajst-11777	112	15	characteristics	characteristic	NOUN
ajst-11777	112	16	in	in	ADP
ajst-11777	112	17	china	china	PROPN
ajst-11777	112	18	.	.	PUNCT
ajst-11777	113	1	journal	journal	PROPN
ajst-11777	113	2	of	of	ADP
ajst-11777	113	3	oceanography	oceanography	PROPN
ajst-11777	113	4	,	,	PUNCT
ajst-11777	113	5	41(07):36–51	41(07):36–51	NUM
ajst-11777	113	6	,	,	PUNCT
ajst-11777	113	7	2019	2019	NUM
ajst-11777	113	8	.	.	PUNCT
ajst-11777	114	1	isbn	isbn	ADJ
ajst-11777	114	2	:	:	PUNCT
ajst-11777	114	3	0253	0253	NUM
ajst-11777	114	4	-	-	SYM
ajst-11777	114	5	4193	4193	NUM
ajst-11777	114	6	.	.	PUNCT
ajst-11777	115	1	[	[	X
ajst-11777	115	2	10	10	NUM
ajst-11777	115	3	]	]	X
ajst-11777	115	4	yuan	yuan	PROPN
ajst-11777	115	5	ming	ming	PROPN
ajst-11777	115	6	,	,	PUNCT
ajst-11777	115	7	shen	shen	PROPN
ajst-11777	115	8	jinshan	jinshan	PROPN
ajst-11777	115	9	,	,	PUNCT
ajst-11777	115	10	zhang	zhang	PROPN
ajst-11777	115	11	yi	yi	PROPN
ajst-11777	115	12	,	,	PUNCT
ajst-11777	115	13	yang	yang	PROPN
ajst-11777	115	14	ruijia	ruijia	PROPN
ajst-11777	115	15	,	,	PUNCT
ajst-11777	115	16	zhang	zhang	PROPN
ajst-11777	115	17	yunhui	yunhui	PROPN
ajst-11777	115	18	.	.	PUNCT
ajst-11777	116	1	global	global	ADJ
ajst-11777	116	2	temperature	temperature	NOUN
ajst-11777	116	3	prediction	prediction	NOUN
ajst-11777	116	4	based	base	VERB
ajst-11777	116	5	on	on	ADP
ajst-11777	116	6	ga	ga	PROPN
ajst-11777	116	7	-	-	PUNCT
ajst-11777	116	8	bp	bp	PROPN
ajst-11777	116	9	neural	neural	ADJ
ajst-11777	116	10	network[j	network[j	PROPN
ajst-11777	116	11	]	]	PUNCT
ajst-11777	116	12	.	.	PUNCT
ajst-11777	117	1	journal	journal	PROPN
ajst-11777	117	2	of	of	ADP
ajst-11777	117	3	zhengzhou	zhengzhou	PROPN
ajst-11777	117	4	institute	institute	PROPN
ajst-11777	117	5	of	of	ADP
ajst-11777	117	6	aviation	aviation	NOUN
ajst-11777	117	7	industry	industry	NOUN
ajst-11777	117	8	and	and	CCONJ
ajst-11777	117	9	management,2020,38(06):67	management,2020,38(06):67	NOUN
ajst-11777	117	10	-	-	PUNCT
ajst-11777	117	11	75	75	NUM
ajst-11777	117	12	.	.	PUNCT