id	sid	tid	token	lemma	pos
esrj-99036	1	1	issn	issn	PROPN
esrj-99036	1	2	1794	1794	NUM
esrj-99036	1	3	-	-	SYM
esrj-99036	1	4	6190	6190	NUM
esrj-99036	1	5	e	e	NOUN
esrj-99036	1	6	-	-	NOUN
esrj-99036	1	7	issn	issn	PROPN
esrj-99036	1	8	2339	2339	NUM
esrj-99036	1	9	-	-	SYM
esrj-99036	1	10	3459	3459	NUM
esrj-99036	1	11	https://doi.org/10.15446/esrj.v27n1.99036	https://doi.org/10.15446/esrj.v27n1.99036	X
esrj-99036	1	12	earth	earth	PROPN
esrj-99036	1	13	sciences	sciences	PROPN
esrj-99036	1	14	research	research	PROPN
esrj-99036	1	15	journal	journal	PROPN
esrj-99036	1	16	earth	earth	PROPN
esrj-99036	1	17	sci	sci	PROPN
esrj-99036	1	18	.	.	PUNCT
esrj-99036	2	1	res	res	PROPN
esrj-99036	2	2	.	.	PUNCT
esrj-99036	3	1	j.	j.	PROPN
esrj-99036	3	2	vol	vol	PROPN
esrj-99036	3	3	.	.	PROPN
esrj-99036	4	1	27	27	NUM
esrj-99036	4	2	,	,	PUNCT
esrj-99036	4	3	no	no	INTJ
esrj-99036	4	4	.	.	NOUN
esrj-99036	4	5	1	1	NUM
esrj-99036	4	6	(	(	PUNCT
esrj-99036	4	7	march	march	NOUN
esrj-99036	4	8	,	,	PUNCT
esrj-99036	4	9	2023	2023	NUM
esrj-99036	4	10	):	):	PUNCT
esrj-99036	4	11	77	77	NUM
esrj-99036	4	12	84	84	NUM
esrj-99036	4	13	m	m	NOUN
esrj-99036	4	14	et	et	NOUN
esrj-99036	5	1	eo	eo	NOUN
esrj-99036	5	2	r	r	NOUN
esrj-99036	5	3	o	o	NOUN
esrj-99036	6	1	lo	lo	NOUN
esrj-99036	6	2	g	g	PROPN
esrj-99036	6	3	y	y	PROPN
esrj-99036	6	4	palabras	palabras	PROPN
esrj-99036	6	5	clave	clave	PROPN
esrj-99036	6	6	:	:	PUNCT
esrj-99036	6	7	extremos	extremos	PROPN
esrj-99036	6	8	calientes	calientes	PROPN
esrj-99036	6	9	;	;	PUNCT
esrj-99036	6	10	temperatura	temperatura	PROPN
esrj-99036	6	11	máxima	máxima	PROPN
esrj-99036	6	12	maximórum	maximórum	NOUN
esrj-99036	6	13	;	;	PUNCT
esrj-99036	6	14	funciones	funciones	PROPN
esrj-99036	6	15	de	de	PROPN
esrj-99036	6	16	distribución	distribución	X
esrj-99036	6	17	de	de	PROPN
esrj-99036	6	18	probabilidad	probabilidad	PROPN
esrj-99036	6	19	ajustadas	ajustadas	PROPN
esrj-99036	6	20	;	;	PUNCT
esrj-99036	6	21	tendencias	tendencias	PROPN
esrj-99036	6	22	significativas	significativas	PROPN
esrj-99036	6	23	.	.	PUNCT
esrj-99036	6	24	calculation	calculation	NOUN
esrj-99036	6	25	of	of	ADP
esrj-99036	6	26	indicators	indicator	NOUN
esrj-99036	6	27	of	of	ADP
esrj-99036	6	28	maximum	maximum	ADJ
esrj-99036	6	29	extreme	extreme	ADJ
esrj-99036	6	30	temperature	temperature	NOUN
esrj-99036	6	31	in	in	ADP
esrj-99036	6	32	sinaloa	sinaloa	PROPN
esrj-99036	6	33	state	state	PROPN
esrj-99036	6	34	,	,	PUNCT
esrj-99036	6	35	northwestern	northwestern	PROPN
esrj-99036	6	36	mexico	mexico	PROPN
esrj-99036	6	37	omar	omar	PROPN
esrj-99036	6	38	llanes	llanes	PROPN
esrj-99036	6	39	cárdenas	cárdenas	PROPN
esrj-99036	6	40	*	*	PUNCT
esrj-99036	6	41	,	,	PUNCT
esrj-99036	6	42	lorenzo	lorenzo	PROPN
esrj-99036	6	43	cervantes	cervante	VERB
esrj-99036	6	44	arce	arce	PROPN
esrj-99036	6	45	,	,	PUNCT
esrj-99036	6	46	gabriel	gabriel	PROPN
esrj-99036	6	47	eduardo	eduardo	PROPN
esrj-99036	6	48	gonzález	gonzález	PROPN
esrj-99036	6	49	gonzález	gonzález	PROPN
esrj-99036	6	50	instituto	instituto	PROPN
esrj-99036	6	51	politécnico	politécnico	PROPN
esrj-99036	6	52	nacional	nacional	PROPN
esrj-99036	6	53	,	,	PUNCT
esrj-99036	6	54	centro	centro	PROPN
esrj-99036	6	55	interdisciplinario	interdisciplinario	PROPN
esrj-99036	6	56	de	de	PROPN
esrj-99036	6	57	investigación	investigación	PROPN
esrj-99036	6	58	para	para	PROPN
esrj-99036	6	59	el	el	PROPN
esrj-99036	6	60	desarrollo	desarrollo	PROPN
esrj-99036	6	61	integral	integral	PROPN
esrj-99036	6	62	regional	regional	ADJ
esrj-99036	6	63	,	,	PUNCT
esrj-99036	6	64	unidad	unidad	PROPN
esrj-99036	6	65	sinaloa	sinaloa	PROPN
esrj-99036	6	66	(	(	PUNCT
esrj-99036	6	67	ciidir	ciidir	PROPN
esrj-99036	6	68	–	–	PUNCT
esrj-99036	6	69	ipn	ipn	PROPN
esrj-99036	6	70	–	–	PUNCT
esrj-99036	6	71	sinaloa	sinaloa	NOUN
esrj-99036	6	72	)	)	PUNCT
esrj-99036	6	73	*	*	PUNCT
esrj-99036	6	74	corresponding	correspond	VERB
esrj-99036	6	75	author	author	NOUN
esrj-99036	6	76	:	:	PUNCT
esrj-99036	6	77	ollanesc@ipn.mx	ollanesc@ipn.mx	PROPN
esrj-99036	6	78	cálculo	cálculo	PROPN
esrj-99036	6	79	de	de	PROPN
esrj-99036	6	80	indicadores	indicadores	PROPN
esrj-99036	6	81	de	de	PROPN
esrj-99036	6	82	temperatura	temperatura	PROPN
esrj-99036	6	83	máxima	máxima	PROPN
esrj-99036	6	84	extrema	extrema	PROPN
esrj-99036	6	85	en	en	ADP
esrj-99036	6	86	el	el	PROPN
esrj-99036	6	87	estado	estado	PROPN
esrj-99036	6	88	de	de	PROPN
esrj-99036	6	89	sinaloa	sinaloa	PROPN
esrj-99036	6	90	,	,	PUNCT
esrj-99036	6	91	noroeste	noroeste	PROPN
esrj-99036	6	92	de	de	PROPN
esrj-99036	6	93	méxico	méxico	PROPN
esrj-99036	6	94	how	how	SCONJ
esrj-99036	6	95	to	to	PART
esrj-99036	6	96	cite	cite	VERB
esrj-99036	6	97	item	item	NOUN
esrj-99036	6	98	:	:	PUNCT
esrj-99036	6	99	llanes	llanes	PROPN
esrj-99036	6	100	-	-	PUNCT
esrj-99036	6	101	cárdenas	cárdenas	PROPN
esrj-99036	6	102	,	,	PUNCT
esrj-99036	6	103	o.	o.	PROPN
esrj-99036	6	104	,	,	PUNCT
esrj-99036	6	105	cervantes	cervantes	PROPN
esrj-99036	6	106	-	-	PUNCT
esrj-99036	6	107	arce	arce	PROPN
esrj-99036	6	108	,	,	PUNCT
esrj-99036	6	109	l.	l.	PROPN
esrj-99036	6	110	,	,	PUNCT
esrj-99036	6	111	&	&	CCONJ
esrj-99036	6	112	gonzález	gonzález	PROPN
esrj-99036	6	113	-	-	PUNCT
esrj-99036	6	114	gonzález	gonzález	PROPN
esrj-99036	6	115	g.e	g.e	PROPN
esrj-99036	6	116	.	.	PUNCT
esrj-99036	6	117	(	(	PUNCT
esrj-99036	6	118	2023	2023	NUM
esrj-99036	6	119	)	)	PUNCT
esrj-99036	6	120	.	.	PUNCT
esrj-99036	7	1	calculation	calculation	NOUN
esrj-99036	7	2	of	of	ADP
esrj-99036	7	3	indicators	indicator	NOUN
esrj-99036	7	4	of	of	ADP
esrj-99036	7	5	maximum	maximum	ADJ
esrj-99036	7	6	extreme	extreme	ADJ
esrj-99036	7	7	temperature	temperature	NOUN
esrj-99036	7	8	in	in	ADP
esrj-99036	7	9	sinaloa	sinaloa	PROPN
esrj-99036	7	10	state	state	PROPN
esrj-99036	7	11	,	,	PUNCT
esrj-99036	7	12	northwestern	northwestern	PROPN
esrj-99036	7	13	mexico	mexico	PROPN
esrj-99036	7	14	.	.	PUNCT
esrj-99036	8	1	earth	earth	PROPN
esrj-99036	8	2	sciences	sciences	PROPN
esrj-99036	8	3	research	research	PROPN
esrj-99036	8	4	journal	journal	NOUN
esrj-99036	8	5	,	,	PUNCT
esrj-99036	8	6	27(1	27(1	NUM
esrj-99036	8	7	)	)	PUNCT
esrj-99036	8	8	,	,	PUNCT
esrj-99036	8	9	77	77	NUM
esrj-99036	8	10	-	-	SYM
esrj-99036	8	11	84	84	NUM
esrj-99036	8	12	https://	https://	NOUN
esrj-99036	8	13	doi.org/10.15446/esrj.v27n1.99036	doi.org/10.15446/esrj.v27n1.99036	NOUN
esrj-99036	8	14	record	record	NOUN
esrj-99036	8	15	manuscript	manuscript	NOUN
esrj-99036	8	16	received	receive	VERB
esrj-99036	8	17	:	:	PUNCT
esrj-99036	8	18	14/10/2021	14/10/2021	NUM
esrj-99036	8	19	accepted	accept	VERB
esrj-99036	8	20	for	for	ADP
esrj-99036	8	21	publication	publication	NOUN
esrj-99036	8	22	:	:	PUNCT
esrj-99036	8	23	10/04/2023	10/04/2023	NUM
esrj-99036	8	24	keywords	keyword	NOUN
esrj-99036	8	25	:	:	PUNCT
esrj-99036	8	26	hot	hot	ADJ
esrj-99036	8	27	extremes	extreme	NOUN
esrj-99036	8	28	;	;	PUNCT
esrj-99036	8	29	maximum	maximum	ADJ
esrj-99036	8	30	maximorum	maximorum	NOUN
esrj-99036	8	31	temperature	temperature	NOUN
esrj-99036	8	32	;	;	PUNCT
esrj-99036	8	33	fitted	fit	VERB
esrj-99036	8	34	probability	probability	NOUN
esrj-99036	8	35	distribution	distribution	NOUN
esrj-99036	8	36	functions	function	NOUN
esrj-99036	8	37	;	;	PUNCT
esrj-99036	8	38	significant	significant	ADJ
esrj-99036	8	39	trends	trend	NOUN
esrj-99036	8	40	.	.	PUNCT
esrj-99036	9	1	abstract	abstract	ADJ
esrj-99036	9	2	one	one	NUM
esrj-99036	9	3	of	of	ADP
esrj-99036	9	4	the	the	DET
esrj-99036	9	5	climate	climate	NOUN
esrj-99036	9	6	problems	problem	NOUN
esrj-99036	9	7	that	that	PRON
esrj-99036	9	8	causes	cause	VERB
esrj-99036	9	9	the	the	DET
esrj-99036	9	10	most	most	ADV
esrj-99036	9	11	environmental	environmental	ADJ
esrj-99036	9	12	impact	impact	NOUN
esrj-99036	9	13	worldwide	worldwide	ADV
esrj-99036	9	14	is	be	AUX
esrj-99036	9	15	the	the	DET
esrj-99036	9	16	trend	trend	NOUN
esrj-99036	9	17	of	of	ADP
esrj-99036	9	18	increasing	increase	VERB
esrj-99036	9	19	occurrence	occurrence	NOUN
esrj-99036	9	20	of	of	ADP
esrj-99036	9	21	events	event	NOUN
esrj-99036	9	22	of	of	ADP
esrj-99036	9	23	maximum	maximum	ADJ
esrj-99036	9	24	extreme	extreme	ADJ
esrj-99036	9	25	temperature	temperature	NOUN
esrj-99036	9	26	,	,	PUNCT
esrj-99036	9	27	signaled	signal	VERB
esrj-99036	9	28	by	by	ADP
esrj-99036	9	29	indicators	indicator	NOUN
esrj-99036	9	30	such	such	ADJ
esrj-99036	9	31	as	as	ADP
esrj-99036	9	32	hot	hot	ADJ
esrj-99036	9	33	extremes	extreme	NOUN
esrj-99036	9	34	(	(	PUNCT
esrj-99036	9	35	he	he	PRON
esrj-99036	9	36	)	)	PUNCT
esrj-99036	9	37	and	and	CCONJ
esrj-99036	9	38	maximum	maximum	PROPN
esrj-99036	9	39	maximorum	maximorum	NOUN
esrj-99036	9	40	(	(	PUNCT
esrj-99036	9	41	highest	high	ADJ
esrj-99036	9	42	maximum	maximum	ADJ
esrj-99036	9	43	)	)	PUNCT
esrj-99036	9	44	temperature	temperature	NOUN
esrj-99036	9	45	(	(	PUNCT
esrj-99036	9	46	mmt	mmt	NOUN
esrj-99036	9	47	)	)	PUNCT
esrj-99036	9	48	.	.	PUNCT
esrj-99036	10	1	these	these	DET
esrj-99036	10	2	events	event	NOUN
esrj-99036	10	3	can	can	AUX
esrj-99036	10	4	cause	cause	VERB
esrj-99036	10	5	conditions	condition	NOUN
esrj-99036	10	6	ranging	range	VERB
esrj-99036	10	7	from	from	ADP
esrj-99036	10	8	severe	severe	ADJ
esrj-99036	10	9	droughts	drought	NOUN
esrj-99036	10	10	to	to	PART
esrj-99036	10	11	heat	heat	VERB
esrj-99036	10	12	stroke	stroke	NOUN
esrj-99036	10	13	,	,	PUNCT
esrj-99036	10	14	which	which	PRON
esrj-99036	10	15	can	can	AUX
esrj-99036	10	16	cause	cause	VERB
esrj-99036	10	17	death	death	NOUN
esrj-99036	10	18	in	in	ADP
esrj-99036	10	19	any	any	DET
esrj-99036	10	20	population	population	NOUN
esrj-99036	10	21	.	.	PUNCT
esrj-99036	11	1	indicators	indicator	NOUN
esrj-99036	11	2	of	of	ADP
esrj-99036	11	3	maximum	maximum	ADJ
esrj-99036	11	4	extreme	extreme	ADJ
esrj-99036	11	5	temperature	temperature	NOUN
esrj-99036	11	6	in	in	ADP
esrj-99036	11	7	one	one	NUM
esrj-99036	11	8	of	of	ADP
esrj-99036	11	9	the	the	DET
esrj-99036	11	10	most	most	ADV
esrj-99036	11	11	important	important	ADJ
esrj-99036	11	12	agricultural	agricultural	ADJ
esrj-99036	11	13	areas	area	NOUN
esrj-99036	11	14	in	in	ADP
esrj-99036	11	15	northwestern	northwestern	PROPN
esrj-99036	11	16	mexico	mexico	PROPN
esrj-99036	11	17	were	be	AUX
esrj-99036	11	18	calculated	calculate	VERB
esrj-99036	11	19	based	base	VERB
esrj-99036	11	20	on	on	ADP
esrj-99036	11	21	significant	significant	ADJ
esrj-99036	11	22	trends	trend	NOUN
esrj-99036	11	23	(	(	PUNCT
esrj-99036	11	24	st	st	NOUN
esrj-99036	11	25	)	)	PUNCT
esrj-99036	11	26	and	and	CCONJ
esrj-99036	11	27	adjusted	adjust	VERB
esrj-99036	11	28	return	return	NOUN
esrj-99036	11	29	periods	period	NOUN
esrj-99036	11	30	.	.	PUNCT
esrj-99036	12	1	to	to	PART
esrj-99036	12	2	calculate	calculate	VERB
esrj-99036	12	3	the	the	DET
esrj-99036	12	4	trends	trend	NOUN
esrj-99036	12	5	of	of	ADP
esrj-99036	12	6	the	the	DET
esrj-99036	12	7	maximum	maximum	ADJ
esrj-99036	12	8	extreme	extreme	ADJ
esrj-99036	12	9	temperature	temperature	NOUN
esrj-99036	12	10	,	,	PUNCT
esrj-99036	12	11	frequency	frequency	NOUN
esrj-99036	12	12	(	(	PUNCT
esrj-99036	12	13	fr	fr	PROPN
esrj-99036	12	14	)	)	PUNCT
esrj-99036	12	15	,	,	PUNCT
esrj-99036	12	16	annual	annual	ADJ
esrj-99036	12	17	average	average	ADJ
esrj-99036	12	18	duration	duration	NOUN
esrj-99036	12	19	(	(	PUNCT
esrj-99036	12	20	aad	aad	INTJ
esrj-99036	12	21	)	)	PUNCT
esrj-99036	12	22	,	,	PUNCT
esrj-99036	12	23	annual	annual	ADJ
esrj-99036	12	24	daily	daily	ADJ
esrj-99036	12	25	duration	duration	NOUN
esrj-99036	12	26	(	(	PUNCT
esrj-99036	12	27	add	add	NOUN
esrj-99036	12	28	)	)	PUNCT
esrj-99036	12	29	,	,	PUNCT
esrj-99036	12	30	intensity	intensity	NOUN
esrj-99036	12	31	(	(	PUNCT
esrj-99036	12	32	in	in	ADP
esrj-99036	12	33	)	)	PUNCT
esrj-99036	12	34	of	of	ADP
esrj-99036	12	35	he	he	PRON
esrj-99036	12	36	,	,	PUNCT
esrj-99036	12	37	and	and	CCONJ
esrj-99036	12	38	mmt	mmt	NOUN
esrj-99036	12	39	,	,	PUNCT
esrj-99036	12	40	the	the	DET
esrj-99036	12	41	mann	mann	PROPN
esrj-99036	12	42	-	-	PUNCT
esrj-99036	12	43	kendall	kendall	PROPN
esrj-99036	12	44	and	and	CCONJ
esrj-99036	12	45	sen	sen	PROPN
esrj-99036	12	46	’s	’s	PART
esrj-99036	12	47	slope	slope	NOUN
esrj-99036	12	48	tests	test	NOUN
esrj-99036	12	49	were	be	AUX
esrj-99036	12	50	applied	apply	VERB
esrj-99036	12	51	to	to	ADP
esrj-99036	12	52	data	datum	NOUN
esrj-99036	12	53	obtained	obtain	VERB
esrj-99036	12	54	for	for	ADP
esrj-99036	12	55	19	19	NUM
esrj-99036	12	56	weather	weather	NOUN
esrj-99036	12	57	stations	station	NOUN
esrj-99036	12	58	from	from	ADP
esrj-99036	12	59	the	the	DET
esrj-99036	12	60	climate	climate	NOUN
esrj-99036	12	61	computing	compute	VERB
esrj-99036	12	62	database	database	NOUN
esrj-99036	12	63	for	for	ADP
esrj-99036	12	64	the	the	DET
esrj-99036	12	65	period	period	NOUN
esrj-99036	12	66	1982–2014	1982–2014	NUM
esrj-99036	12	67	.	.	PUNCT
esrj-99036	13	1	adjusted	adjust	VERB
esrj-99036	13	2	return	return	NOUN
esrj-99036	13	3	periods	period	NOUN
esrj-99036	13	4	(	(	PUNCT
esrj-99036	13	5	arp	arp	ADJ
esrj-99036	13	6	)	)	PUNCT
esrj-99036	13	7	were	be	AUX
esrj-99036	13	8	calculated	calculate	VERB
esrj-99036	13	9	for	for	ADP
esrj-99036	13	10	each	each	DET
esrj-99036	13	11	indicator	indicator	NOUN
esrj-99036	13	12	of	of	ADP
esrj-99036	13	13	maximum	maximum	ADJ
esrj-99036	13	14	extreme	extreme	ADJ
esrj-99036	13	15	temperature	temperature	NOUN
esrj-99036	13	16	by	by	ADP
esrj-99036	13	17	fitting	fit	VERB
esrj-99036	13	18	a	a	DET
esrj-99036	13	19	probability	probability	NOUN
esrj-99036	13	20	distribution	distribution	NOUN
esrj-99036	13	21	function	function	NOUN
esrj-99036	13	22	.	.	PUNCT
esrj-99036	14	1	for	for	ADP
esrj-99036	14	2	the	the	DET
esrj-99036	14	3	study	study	NOUN
esrj-99036	14	4	area	area	NOUN
esrj-99036	14	5	,	,	PUNCT
esrj-99036	14	6	the	the	DET
esrj-99036	14	7	st	st	PROPN
esrj-99036	14	8	and	and	CCONJ
esrj-99036	14	9	maximum	maximum	ADJ
esrj-99036	14	10	extreme	extreme	ADJ
esrj-99036	14	11	temperature	temperature	NOUN
esrj-99036	14	12	shows	show	VERB
esrj-99036	14	13	a	a	DET
esrj-99036	14	14	prevailing	prevail	VERB
esrj-99036	14	15	cooling	cool	VERB
esrj-99036	14	16	trend	trend	NOUN
esrj-99036	14	17	.	.	PUNCT
esrj-99036	15	1	this	this	PRON
esrj-99036	15	2	can	can	AUX
esrj-99036	15	3	be	be	AUX
esrj-99036	15	4	deduced	deduce	VERB
esrj-99036	15	5	by	by	ADP
esrj-99036	15	6	observing	observe	VERB
esrj-99036	15	7	the	the	DET
esrj-99036	15	8	proportion	proportion	NOUN
esrj-99036	15	9	of	of	ADP
esrj-99036	15	10	negative	negative	ADJ
esrj-99036	15	11	st	st	PROPN
esrj-99036	15	12	compared	compare	VERB
esrj-99036	15	13	with	with	ADP
esrj-99036	15	14	positive	positive	PROPN
esrj-99036	15	15	st	st	PROPN
esrj-99036	15	16	.	.	PROPN
esrj-99036	16	1	the	the	DET
esrj-99036	16	2	highest	high	ADJ
esrj-99036	16	3	positive	positive	ADJ
esrj-99036	16	4	magnitudes	magnitude	NOUN
esrj-99036	16	5	of	of	ADP
esrj-99036	16	6	st	st	PROPN
esrj-99036	16	7	were	be	AUX
esrj-99036	16	8	recorded	record	VERB
esrj-99036	16	9	at	at	ADP
esrj-99036	16	10	stations	station	NOUN
esrj-99036	16	11	cul	cul	PROPN
esrj-99036	16	12	(	(	PUNCT
esrj-99036	16	13	fr	fr	NOUN
esrj-99036	16	14	=	=	SYM
esrj-99036	16	15	3.44	3.44	NUM
esrj-99036	16	16	he	he	PRON
esrj-99036	16	17	dec-1	dec-1	NOUN
esrj-99036	16	18	)	)	PUNCT
esrj-99036	16	19	,	,	PUNCT
esrj-99036	16	20	gut	gut	NOUN
esrj-99036	16	21	(	(	PUNCT
esrj-99036	16	22	aad	aad	NOUN
esrj-99036	16	23	=	=	NOUN
esrj-99036	16	24	6.15	6.15	NUM
esrj-99036	16	25	day	day	NOUN
esrj-99036	16	26	he-1	he-1	ADP
esrj-99036	16	27	dec-1	dec-1	NOUN
esrj-99036	16	28	and	and	CCONJ
esrj-99036	16	29	in	in	ADP
esrj-99036	16	30	=	=	PROPN
esrj-99036	16	31	13.62	13.62	NUM
esrj-99036	16	32	°	°	NOUN
esrj-99036	16	33	c	c	NOUN
esrj-99036	16	34	dec-1	dec-1	NOUN
esrj-99036	16	35	)	)	PUNCT
esrj-99036	16	36	,	,	PUNCT
esrj-99036	16	37	ixp	ixp	NOUN
esrj-99036	16	38	(	(	PUNCT
esrj-99036	16	39	add	add	VERB
esrj-99036	16	40	=	=	SYM
esrj-99036	16	41	35.00	35.00	NUM
esrj-99036	16	42	day	day	NOUN
esrj-99036	16	43	dec-1	dec-1	NOUN
esrj-99036	16	44	)	)	PUNCT
esrj-99036	16	45	and	and	CCONJ
esrj-99036	16	46	pot	pot	NOUN
esrj-99036	16	47	(	(	PUNCT
esrj-99036	16	48	mmt	mmt	PROPN
esrj-99036	16	49	=	=	PROPN
esrj-99036	16	50	2.50	2.50	NUM
esrj-99036	16	51	°	°	ADP
esrj-99036	16	52	c	c	NOUN
esrj-99036	16	53	day-1	day-1	NUM
esrj-99036	16	54	dec-1	dec-1	NOUN
esrj-99036	16	55	)	)	PUNCT
esrj-99036	16	56	.	.	PUNCT
esrj-99036	17	1	for	for	ADP
esrj-99036	17	2	arp	arp	ADJ
esrj-99036	17	3	,	,	PUNCT
esrj-99036	17	4	the	the	DET
esrj-99036	17	5	estimate	estimate	NOUN
esrj-99036	17	6	of	of	ADP
esrj-99036	17	7	the	the	DET
esrj-99036	17	8	average	average	ADJ
esrj-99036	17	9	occurrence	occurrence	NOUN
esrj-99036	17	10	frequency	frequency	NOUN
esrj-99036	17	11	of	of	ADP
esrj-99036	17	12	extreme	extreme	ADJ
esrj-99036	17	13	events	event	NOUN
esrj-99036	17	14	per100	per100	NOUN
esrj-99036	17	15	years	year	NOUN
esrj-99036	17	16	are	be	AUX
esrj-99036	17	17	fr	fr	ADJ
esrj-99036	17	18	=	=	NUM
esrj-99036	17	19	6.11	6.11	NUM
esrj-99036	17	20	he	he	PRON
esrj-99036	17	21	dec-1	dec-1	VERB
esrj-99036	17	22	(	(	PUNCT
esrj-99036	17	23	1	1	NUM
esrj-99036	17	24	time	time	NOUN
esrj-99036	17	25	)	)	PUNCT
esrj-99036	17	26	,	,	PUNCT
esrj-99036	17	27	aad	aad	INTJ
esrj-99036	17	28	=	=	NOUN
esrj-99036	17	29	6.64	6.64	NUM
esrj-99036	17	30	day	day	NOUN
esrj-99036	17	31	he-1	he-1	ADP
esrj-99036	17	32	dec-1	dec-1	PUNCT
esrj-99036	17	33	(	(	PUNCT
esrj-99036	17	34	4	4	NUM
esrj-99036	17	35	times	time	NOUN
esrj-99036	17	36	)	)	PUNCT
esrj-99036	17	37	,	,	PUNCT
esrj-99036	17	38	add	add	VERB
esrj-99036	17	39	=	=	SYM
esrj-99036	17	40	38.68	38.68	NUM
esrj-99036	17	41	day	day	NOUN
esrj-99036	17	42	dec-1	dec-1	PUNCT
esrj-99036	17	43	(	(	PUNCT
esrj-99036	17	44	1	1	NUM
esrj-99036	17	45	time	time	NOUN
esrj-99036	17	46	)	)	PUNCT
esrj-99036	17	47	,	,	PUNCT
esrj-99036	17	48	in	in	ADP
esrj-99036	17	49	=	=	PROPN
esrj-99036	17	50	39.09	39.09	NUM
esrj-99036	17	51	°	°	NUM
esrj-99036	17	52	c	c	NOUN
esrj-99036	17	53	dec-1	dec-1	NOUN
esrj-99036	17	54	(	(	PUNCT
esrj-99036	17	55	6	6	NUM
esrj-99036	17	56	times	time	NOUN
esrj-99036	17	57	)	)	PUNCT
esrj-99036	17	58	and	and	CCONJ
esrj-99036	17	59	mmt	mmt	PROPN
esrj-99036	17	60	=	=	PROPN
esrj-99036	17	61	41.95	41.95	NUM
esrj-99036	17	62	°	°	ADP
esrj-99036	17	63	c	c	PROPN
esrj-99036	17	64	day-1	day-1	NUM
esrj-99036	17	65	dec-1	dec-1	X
esrj-99036	17	66	(	(	PUNCT
esrj-99036	17	67	1	1	NUM
esrj-99036	17	68	time	time	NOUN
esrj-99036	17	69	)	)	PUNCT
esrj-99036	17	70	.	.	PUNCT
esrj-99036	18	1	these	these	DET
esrj-99036	18	2	findings	finding	NOUN
esrj-99036	18	3	are	be	AUX
esrj-99036	18	4	of	of	ADP
esrj-99036	18	5	key	key	ADJ
esrj-99036	18	6	importance	importance	NOUN
esrj-99036	18	7	for	for	ADP
esrj-99036	18	8	the	the	DET
esrj-99036	18	9	economic	economic	ADJ
esrj-99036	18	10	sectors	sector	NOUN
esrj-99036	18	11	related	relate	VERB
esrj-99036	18	12	to	to	ADP
esrj-99036	18	13	agricultural	agricultural	ADJ
esrj-99036	18	14	production	production	NOUN
esrj-99036	18	15	in	in	ADP
esrj-99036	18	16	the	the	DET
esrj-99036	18	17	state	state	NOUN
esrj-99036	18	18	known	know	VERB
esrj-99036	18	19	,	,	PUNCT
esrj-99036	18	20	at	at	ADP
esrj-99036	18	21	least	least	ADJ
esrj-99036	18	22	to	to	ADP
esrj-99036	18	23	date	date	NOUN
esrj-99036	18	24	,	,	PUNCT
esrj-99036	18	25	as	as	ADP
esrj-99036	18	26	“	"	PUNCT
esrj-99036	18	27	the	the	DET
esrj-99036	18	28	breadbasket	breadbasket	NOUN
esrj-99036	18	29	of	of	ADP
esrj-99036	18	30	mexico	mexico	PROPN
esrj-99036	18	31	”	"	PUNCT
esrj-99036	18	32	(	(	PUNCT
esrj-99036	18	33	sinaloa	sinaloa	NOUN
esrj-99036	18	34	)	)	PUNCT
esrj-99036	18	35	.	.	PUNCT
esrj-99036	19	1	the	the	DET
esrj-99036	19	2	results	result	NOUN
esrj-99036	19	3	will	will	AUX
esrj-99036	19	4	help	help	VERB
esrj-99036	19	5	to	to	PART
esrj-99036	19	6	develop	develop	VERB
esrj-99036	19	7	adaptation	adaptation	NOUN
esrj-99036	19	8	/	/	SYM
esrj-99036	19	9	prevention	prevention	NOUN
esrj-99036	19	10	measures	measure	NOUN
esrj-99036	19	11	before	before	ADP
esrj-99036	19	12	the	the	DET
esrj-99036	19	13	coming	come	VERB
esrj-99036	19	14	socioeconomic	socioeconomic	ADJ
esrj-99036	19	15	and	and	CCONJ
esrj-99036	19	16	hydrological	hydrological	ADJ
esrj-99036	19	17	disasters	disaster	NOUN
esrj-99036	19	18	.	.	PUNCT
esrj-99036	20	1	resumen	resumen	PROPN
esrj-99036	20	2	uno	uno	PROPN
esrj-99036	20	3	de	de	PROPN
esrj-99036	20	4	los	los	PROPN
esrj-99036	20	5	problemas	problemas	PROPN
esrj-99036	20	6	climáticos	climáticos	PROPN
esrj-99036	20	7	que	que	PROPN
esrj-99036	20	8	causa	causa	PROPN
esrj-99036	20	9	mayor	mayor	PROPN
esrj-99036	20	10	impacto	impacto	PROPN
esrj-99036	20	11	ambiental	ambiental	VERB
esrj-99036	20	12	a	a	DET
esrj-99036	20	13	nivel	nivel	NOUN
esrj-99036	20	14	mundial	mundial	ADJ
esrj-99036	20	15	es	es	X
esrj-99036	20	16	la	la	X
esrj-99036	20	17	tendencia	tendencia	NOUN
esrj-99036	20	18	creciente	creciente	PROPN
esrj-99036	20	19	de	de	ADP
esrj-99036	20	20	ocurrencia	ocurrencia	PROPN
esrj-99036	20	21	de	de	ADP
esrj-99036	20	22	eventos	eventos	X
esrj-99036	20	23	de	de	X
esrj-99036	20	24	temperatura	temperatura	PROPN
esrj-99036	20	25	máxima	máxima	PROPN
esrj-99036	20	26	extrema	extrema	NOUN
esrj-99036	20	27	,	,	PUNCT
esrj-99036	20	28	señalados	señalado	NOUN
esrj-99036	20	29	por	por	PROPN
esrj-99036	20	30	indicadores	indicadores	PROPN
esrj-99036	20	31	como	como	PROPN
esrj-99036	20	32	los	los	PROPN
esrj-99036	20	33	extremos	extremos	PROPN
esrj-99036	20	34	calientes	calientes	PROPN
esrj-99036	20	35	(	(	PUNCT
esrj-99036	20	36	ec	ec	PROPN
esrj-99036	20	37	)	)	PUNCT
esrj-99036	20	38	y	y	PROPN
esrj-99036	20	39	la	la	PROPN
esrj-99036	20	40	temperatura	temperatura	PROPN
esrj-99036	20	41	máxima	máxima	PROPN
esrj-99036	20	42	maximórum	maximórum	NOUN
esrj-99036	20	43	(	(	PUNCT
esrj-99036	20	44	máxima	máxima	PROPN
esrj-99036	20	45	más	más	PROPN
esrj-99036	20	46	alta	alta	PROPN
esrj-99036	20	47	,	,	PUNCT
esrj-99036	20	48	tmm	tmm	PROPN
esrj-99036	20	49	)	)	PUNCT
esrj-99036	20	50	.	.	PUNCT
esrj-99036	21	1	estos	estos	PROPN
esrj-99036	21	2	eventos	eventos	PROPN
esrj-99036	21	3	pueden	pueden	PROPN
esrj-99036	21	4	causar	causar	PROPN
esrj-99036	21	5	condiciones	condicione	VERB
esrj-99036	21	6	que	que	PROPN
esrj-99036	21	7	van	van	PROPN
esrj-99036	21	8	desde	desde	PROPN
esrj-99036	21	9	sequías	sequías	PROPN
esrj-99036	21	10	severas	severas	PROPN
esrj-99036	21	11	hasta	hasta	PROPN
esrj-99036	21	12	golpes	golpes	PROPN
esrj-99036	21	13	de	de	X
esrj-99036	21	14	calor	calor	PROPN
esrj-99036	21	15	,	,	PUNCT
esrj-99036	21	16	que	que	PROPN
esrj-99036	21	17	pueden	pueden	X
esrj-99036	21	18	causar	causar	PROPN
esrj-99036	21	19	la	la	PROPN
esrj-99036	21	20	muerte	muerte	PROPN
esrj-99036	21	21	de	de	PROPN
esrj-99036	21	22	cualquier	cualquier	PROPN
esrj-99036	21	23	población	población	PROPN
esrj-99036	21	24	.	.	PROPN
esrj-99036	21	25	se	se	PROPN
esrj-99036	21	26	calcularon	calcularon	PROPN
esrj-99036	21	27	indicadores	indicadores	PROPN
esrj-99036	21	28	de	de	PROPN
esrj-99036	21	29	temperatura	temperatura	PROPN
esrj-99036	21	30	máxima	máxima	PROPN
esrj-99036	21	31	extrema	extrema	PROPN
esrj-99036	21	32	en	en	X
esrj-99036	21	33	una	una	PROPN
esrj-99036	21	34	de	de	PROPN
esrj-99036	21	35	las	las	PROPN
esrj-99036	21	36	zonas	zonas	PROPN
esrj-99036	21	37	agrícolas	agrícolas	ADP
esrj-99036	21	38	más	más	PROPN
esrj-99036	21	39	importantes	importante	NOUN
esrj-99036	21	40	del	del	PROPN
esrj-99036	21	41	noroeste	noroeste	PROPN
esrj-99036	21	42	de	de	PROPN
esrj-99036	21	43	méxico	méxico	PROPN
esrj-99036	21	44	,	,	PUNCT
esrj-99036	21	45	con	con	PROPN
esrj-99036	21	46	base	base	PROPN
esrj-99036	21	47	en	en	PROPN
esrj-99036	21	48	tendencias	tendencias	PROPN
esrj-99036	21	49	significativas	significativas	X
esrj-99036	21	50	(	(	PUNCT
esrj-99036	21	51	ts	ts	NOUN
esrj-99036	21	52	)	)	PUNCT
esrj-99036	21	53	y	y	PROPN
esrj-99036	21	54	periodos	periodo	NOUN
esrj-99036	21	55	de	de	X
esrj-99036	21	56	retorno	retorno	NOUN
esrj-99036	21	57	ajustados	ajustado	NOUN
esrj-99036	21	58	(	(	PUNCT
esrj-99036	21	59	pra	pra	PROPN
esrj-99036	21	60	)	)	PUNCT
esrj-99036	21	61	.	.	PUNCT
esrj-99036	22	1	para	para	PROPN
esrj-99036	22	2	calcular	calcular	PROPN
esrj-99036	22	3	las	las	PROPN
esrj-99036	22	4	tendencias	tendencias	PROPN
esrj-99036	22	5	de	de	PROPN
esrj-99036	22	6	temperatura	temperatura	PROPN
esrj-99036	22	7	máxima	máxima	PROPN
esrj-99036	22	8	extrema	extrema	NOUN
esrj-99036	22	9	,	,	PUNCT
esrj-99036	22	10	frecuencia	frecuencia	PROPN
esrj-99036	22	11	(	(	PUNCT
esrj-99036	22	12	fr	fr	PROPN
esrj-99036	22	13	)	)	PUNCT
esrj-99036	22	14	,	,	PUNCT
esrj-99036	22	15	duración	duración	PROPN
esrj-99036	22	16	media	media	PROPN
esrj-99036	22	17	anual	anual	NOUN
esrj-99036	22	18	(	(	PUNCT
esrj-99036	22	19	dma	dma	PROPN
esrj-99036	22	20	)	)	PUNCT
esrj-99036	22	21	,	,	PUNCT
esrj-99036	22	22	duración	duración	PROPN
esrj-99036	22	23	diaria	diaria	PROPN
esrj-99036	22	24	anual	anual	PROPN
esrj-99036	22	25	(	(	PUNCT
esrj-99036	22	26	dda	dda	PROPN
esrj-99036	22	27	)	)	PUNCT
esrj-99036	22	28	,	,	PUNCT
esrj-99036	22	29	intensidad	intensidad	PROPN
esrj-99036	22	30	(	(	PUNCT
esrj-99036	22	31	in	in	ADP
esrj-99036	22	32	)	)	PUNCT
esrj-99036	22	33	de	de	PROPN
esrj-99036	22	34	ec	ec	PROPN
esrj-99036	22	35	y	y	PROPN
esrj-99036	22	36	tmm	tmm	PROPN
esrj-99036	22	37	,	,	PUNCT
esrj-99036	22	38	a	a	DET
esrj-99036	22	39	datos	datos	NOUN
esrj-99036	22	40	obtenidos	obtenido	NOUN
esrj-99036	22	41	para	para	VERB
esrj-99036	22	42	19	19	NUM
esrj-99036	22	43	estaciones	estaciones	PROPN
esrj-99036	22	44	meteorológicas	meteorológicas	PROPN
esrj-99036	22	45	de	de	X
esrj-99036	22	46	la	la	X
esrj-99036	22	47	base	base	PROPN
esrj-99036	22	48	de	de	X
esrj-99036	22	49	datos	datos	X
esrj-99036	22	50	climate	climate	NOUN
esrj-99036	22	51	computing	compute	VERB
esrj-99036	22	52	para	para	PROPN
esrj-99036	22	53	el	el	PROPN
esrj-99036	22	54	período	período	PROPN
esrj-99036	22	55	1982–2014	1982–2014	NUM
esrj-99036	22	56	,	,	PUNCT
esrj-99036	22	57	se	se	X
esrj-99036	22	58	le	le	X
esrj-99036	22	59	aplicaron	aplicaron	PROPN
esrj-99036	22	60	las	las	PROPN
esrj-99036	22	61	pruebas	pruebas	PROPN
esrj-99036	22	62	de	de	X
esrj-99036	22	63	mann	mann	PROPN
esrj-99036	22	64	-	-	PUNCT
esrj-99036	22	65	kendall	kendall	PROPN
esrj-99036	22	66	y	y	PROPN
esrj-99036	22	67	pendiente	pendiente	PROPN
esrj-99036	22	68	de	de	PROPN
esrj-99036	22	69	sen	sen	PROPN
esrj-99036	22	70	.	.	PROPN
esrj-99036	22	71	se	se	PROPN
esrj-99036	22	72	calcularon	calcularon	PROPN
esrj-99036	22	73	los	los	PROPN
esrj-99036	22	74	pra	pra	PROPN
esrj-99036	22	75	para	para	PROPN
esrj-99036	22	76	cada	cada	PROPN
esrj-99036	22	77	indicador	indicador	PROPN
esrj-99036	22	78	de	de	PROPN
esrj-99036	22	79	temperatura	temperatura	PROPN
esrj-99036	22	80	máxima	máxima	PROPN
esrj-99036	22	81	extrema	extrema	PROPN
esrj-99036	22	82	mediante	mediante	X
esrj-99036	22	83	el	el	PROPN
esrj-99036	22	84	ajuste	ajuste	PROPN
esrj-99036	22	85	de	de	PROPN
esrj-99036	22	86	una	una	PROPN
esrj-99036	22	87	función	función	PROPN
esrj-99036	22	88	de	de	PROPN
esrj-99036	22	89	distribución	distribución	PROPN
esrj-99036	22	90	de	de	PROPN
esrj-99036	22	91	probabilidad	probabilidad	PROPN
esrj-99036	22	92	.	.	PROPN
esrj-99036	23	1	para	para	PROPN
esrj-99036	23	2	el	el	PROPN
esrj-99036	23	3	área	área	PROPN
esrj-99036	23	4	de	de	PROPN
esrj-99036	23	5	estudio	estudio	PROPN
esrj-99036	23	6	,	,	PUNCT
esrj-99036	23	7	las	las	PROPN
esrj-99036	23	8	ts	ts	PROPN
esrj-99036	23	9	y	y	PROPN
esrj-99036	23	10	la	la	PROPN
esrj-99036	23	11	temperatura	temperatura	PROPN
esrj-99036	23	12	máxima	máxima	PROPN
esrj-99036	23	13	extrema	extrema	PROPN
esrj-99036	23	14	muestran	muestran	ADJ
esrj-99036	23	15	una	una	PROPN
esrj-99036	23	16	tendencia	tendencia	NOUN
esrj-99036	23	17	predominante	predominante	NOUN
esrj-99036	23	18	de	de	ADP
esrj-99036	23	19	enfriamiento	enfriamiento	PROPN
esrj-99036	23	20	.	.	PUNCT
esrj-99036	24	1	esto	esto	PROPN
esrj-99036	24	2	puede	puede	PROPN
esrj-99036	24	3	deducirse	deducirse	PROPN
esrj-99036	24	4	observando	observando	X
esrj-99036	24	5	la	la	PROPN
esrj-99036	24	6	proporción	proporción	PROPN
esrj-99036	24	7	de	de	X
esrj-99036	24	8	ts	ts	X
esrj-99036	24	9	negativas	negativas	PROPN
esrj-99036	24	10	en	en	X
esrj-99036	24	11	comparación	comparación	PROPN
esrj-99036	24	12	con	con	PROPN
esrj-99036	24	13	las	las	PROPN
esrj-99036	24	14	ts	ts	PROPN
esrj-99036	24	15	positivas	positivas	PROPN
esrj-99036	24	16	.	.	PUNCT
esrj-99036	25	1	las	las	PROPN
esrj-99036	25	2	mayores	mayores	PROPN
esrj-99036	25	3	magnitudes	magnitude	VERB
esrj-99036	25	4	positivas	positivas	PROPN
esrj-99036	25	5	de	de	X
esrj-99036	25	6	ts	ts	X
esrj-99036	25	7	se	se	PROPN
esrj-99036	25	8	registraron	registraron	PROPN
esrj-99036	25	9	en	en	PROPN
esrj-99036	25	10	las	las	PROPN
esrj-99036	25	11	estaciones	estaciones	PROPN
esrj-99036	25	12	cul	cul	PROPN
esrj-99036	25	13	(	(	PUNCT
esrj-99036	25	14	fr	fr	NOUN
esrj-99036	25	15	=	=	SYM
esrj-99036	25	16	3.44	3.44	NUM
esrj-99036	25	17	ec	ec	PROPN
esrj-99036	25	18	dec–1	dec–1	NOUN
esrj-99036	25	19	)	)	PUNCT
esrj-99036	25	20	,	,	PUNCT
esrj-99036	25	21	gut	gut	NOUN
esrj-99036	25	22	(	(	PUNCT
esrj-99036	25	23	dma	dma	NOUN
esrj-99036	25	24	=	=	SYM
esrj-99036	25	25	6.15	6.15	NUM
esrj-99036	25	26	día	día	NOUN
esrj-99036	25	27	ec–1	ec–1	PROPN
esrj-99036	25	28	dec–1	dec–1	NOUN
esrj-99036	25	29	e	e	X
esrj-99036	25	30	in	in	ADP
esrj-99036	25	31	=	=	PROPN
esrj-99036	25	32	13.62	13.62	NUM
esrj-99036	25	33	°	°	PROPN
esrj-99036	25	34	c	c	NOUN
esrj-99036	25	35	dec–1	dec–1	NOUN
esrj-99036	25	36	)	)	PUNCT
esrj-99036	25	37	,	,	PUNCT
esrj-99036	25	38	ixp	ixp	PROPN
esrj-99036	25	39	(	(	PUNCT
esrj-99036	25	40	dda	dda	ADJ
esrj-99036	25	41	=	=	SYM
esrj-99036	25	42	35.00	35.00	NUM
esrj-99036	25	43	día	día	NOUN
esrj-99036	25	44	dec–1	dec–1	NOUN
esrj-99036	25	45	)	)	PUNCT
esrj-99036	25	46	y	y	PROPN
esrj-99036	25	47	pot	pot	NOUN
esrj-99036	25	48	(	(	PUNCT
esrj-99036	25	49	tmm	tmm	X
esrj-99036	25	50	=	=	SYM
esrj-99036	25	51	2.50	2.50	NUM
esrj-99036	25	52	°	°	ADP
esrj-99036	25	53	c	c	NOUN
esrj-99036	25	54	día–1	día–1	NOUN
esrj-99036	25	55	dec–1	dec–1	NOUN
esrj-99036	25	56	)	)	PUNCT
esrj-99036	25	57	.	.	PUNCT
esrj-99036	26	1	para	para	PROPN
esrj-99036	26	2	pra	pra	PROPN
esrj-99036	26	3	,	,	PUNCT
esrj-99036	26	4	la	la	X
esrj-99036	26	5	estimación	estimación	X
esrj-99036	26	6	de	de	X
esrj-99036	26	7	la	la	X
esrj-99036	26	8	frecuencia	frecuencia	PROPN
esrj-99036	26	9	promedio	promedio	PROPN
esrj-99036	26	10	de	de	X
esrj-99036	26	11	ocurrencia	ocurrencia	PROPN
esrj-99036	26	12	de	de	ADP
esrj-99036	26	13	eventos	eventos	PROPN
esrj-99036	26	14	extremos	extremos	PROPN
esrj-99036	26	15	por	por	PROPN
esrj-99036	26	16	cada	cada	PROPN
esrj-99036	26	17	100	100	NUM
esrj-99036	26	18	años	años	PROPN
esrj-99036	26	19	son	son	NOUN
esrj-99036	26	20	:	:	PUNCT
esrj-99036	26	21	fr	fr	PROPN
esrj-99036	26	22	=	=	NUM
esrj-99036	26	23	6.11	6.11	NUM
esrj-99036	26	24	ec	ec	PROPN
esrj-99036	26	25	dec–1	dec–1	NOUN
esrj-99036	26	26	(	(	PUNCT
esrj-99036	26	27	1	1	NUM
esrj-99036	26	28	vez	vez	NOUN
esrj-99036	26	29	)	)	PUNCT
esrj-99036	26	30	,	,	PUNCT
esrj-99036	26	31	dma	dma	NOUN
esrj-99036	26	32	=	=	SYM
esrj-99036	26	33	6.64	6.64	NUM
esrj-99036	26	34	día	día	NOUN
esrj-99036	26	35	ec–1	ec–1	PROPN
esrj-99036	26	36	dec–1	dec–1	NOUN
esrj-99036	26	37	(	(	PUNCT
esrj-99036	26	38	4	4	NUM
esrj-99036	26	39	veces	vece	NOUN
esrj-99036	26	40	)	)	PUNCT
esrj-99036	26	41	,	,	PUNCT
esrj-99036	26	42	dda	dda	VERB
esrj-99036	26	43	=	=	SYM
esrj-99036	26	44	38.68	38.68	NUM
esrj-99036	26	45	día	día	NOUN
esrj-99036	26	46	dec–1	dec–1	NOUN
esrj-99036	26	47	(	(	PUNCT
esrj-99036	26	48	1	1	NUM
esrj-99036	26	49	vez	vez	NOUN
esrj-99036	26	50	)	)	PUNCT
esrj-99036	26	51	,	,	PUNCT
esrj-99036	26	52	in	in	ADP
esrj-99036	26	53	=	=	PROPN
esrj-99036	26	54	39.09	39.09	NUM
esrj-99036	26	55	°	°	NUM
esrj-99036	26	56	c	c	PROPN
esrj-99036	26	57	dec–1	dec–1	NOUN
esrj-99036	26	58	(	(	PUNCT
esrj-99036	26	59	6	6	NUM
esrj-99036	26	60	veces	vece	NOUN
esrj-99036	26	61	)	)	PUNCT
esrj-99036	26	62	y	y	PROPN
esrj-99036	26	63	tmm	tmm	NOUN
esrj-99036	26	64	=	=	NOUN
esrj-99036	26	65	41.95	41.95	NUM
esrj-99036	26	66	°	°	ADP
esrj-99036	26	67	c	c	NOUN
esrj-99036	26	68	día–1	día–1	NOUN
esrj-99036	26	69	dec–1	dec–1	NOUN
esrj-99036	26	70	(	(	PUNCT
esrj-99036	26	71	1	1	NUM
esrj-99036	26	72	vez	vez	NOUN
esrj-99036	26	73	)	)	PUNCT
esrj-99036	26	74	.	.	PUNCT
esrj-99036	27	1	estos	estos	PROPN
esrj-99036	27	2	hallazgos	hallazgos	PROPN
esrj-99036	27	3	son	son	PROPN
esrj-99036	27	4	de	de	PROPN
esrj-99036	27	5	vital	vital	ADJ
esrj-99036	27	6	importancia	importancia	PROPN
esrj-99036	27	7	para	para	PROPN
esrj-99036	27	8	los	los	PROPN
esrj-99036	27	9	sectores	sectores	PROPN
esrj-99036	27	10	económicos	económicos	PROPN
esrj-99036	27	11	relacionados	relacionados	PROPN
esrj-99036	27	12	con	con	PROPN
esrj-99036	27	13	la	la	PROPN
esrj-99036	27	14	producción	producción	PROPN
esrj-99036	27	15	agrícola	agrícola	PROPN
esrj-99036	27	16	,	,	PUNCT
esrj-99036	27	17	en	en	PROPN
esrj-99036	27	18	el	el	PROPN
esrj-99036	27	19	estado	estado	PROPN
esrj-99036	27	20	conocido	conocido	PROPN
esrj-99036	27	21	,	,	PUNCT
esrj-99036	27	22	al	al	PROPN
esrj-99036	27	23	menos	menos	PROPN
esrj-99036	27	24	hasta	hasta	PROPN
esrj-99036	27	25	la	la	X
esrj-99036	27	26	fecha	fecha	PROPN
esrj-99036	27	27	,	,	PUNCT
esrj-99036	27	28	como	como	ADJ
esrj-99036	27	29	“	"	PUNCT
esrj-99036	27	30	el	el	PROPN
esrj-99036	27	31	granero	granero	PROPN
esrj-99036	27	32	de	de	PROPN
esrj-99036	27	33	méxico	méxico	PROPN
esrj-99036	27	34	”	"	PUNCT
esrj-99036	27	35	(	(	PUNCT
esrj-99036	27	36	sinaloa	sinaloa	NOUN
esrj-99036	27	37	)	)	PUNCT
esrj-99036	27	38	.	.	PUNCT
esrj-99036	28	1	los	los	PROPN
esrj-99036	28	2	resultados	resultado	NOUN
esrj-99036	28	3	ayudarán	ayudarán	VERB
esrj-99036	28	4	a	a	DET
esrj-99036	28	5	desarrollar	desarrollar	ADJ
esrj-99036	28	6	medidas	medidas	PROPN
esrj-99036	28	7	de	de	PROPN
esrj-99036	28	8	adaptación	adaptación	PROPN
esrj-99036	28	9	/	/	SYM
esrj-99036	28	10	prevención	prevención	PROPN
esrj-99036	28	11	ante	ante	PROPN
esrj-99036	28	12	los	los	PROPN
esrj-99036	28	13	próximos	próximos	PROPN
esrj-99036	28	14	desastres	desastre	VERB
esrj-99036	28	15	socioeconómicos	socioeconómicos	PROPN
esrj-99036	28	16	e	e	PROPN
esrj-99036	28	17	hidrológicos	hidrológicos	PROPN
esrj-99036	28	18	.	.	PUNCT
esrj-99036	29	1	mailto:ollanesc@ipn.mx	mailto:ollanesc@ipn.mx	NOUN
esrj-99036	29	2	https://doi.org/10.15446/esrj.v27n1.99036	https://doi.org/10.15446/esrj.v27n1.99036	X
esrj-99036	29	3	https://doi.org/10.15446/esrj.v27n1.99036	https://doi.org/10.15446/esrj.v27n1.99036	X
esrj-99036	29	4	78	78	NUM
esrj-99036	29	5	omar	omar	PROPN
esrj-99036	29	6	llanes	llanes	PROPN
esrj-99036	29	7	cárdenas	cárdenas	PROPN
esrj-99036	29	8	,	,	PUNCT
esrj-99036	29	9	lorenzo	lorenzo	PROPN
esrj-99036	29	10	cervantes	cervante	VERB
esrj-99036	29	11	arce	arce	PROPN
esrj-99036	29	12	,	,	PUNCT
esrj-99036	30	1	gabriel	gabriel	PROPN
esrj-99036	30	2	eduardo	eduardo	PROPN
esrj-99036	30	3	gonzález	gonzález	PROPN
esrj-99036	30	4	gonzález	gonzález	PROPN
esrj-99036	31	1	1	1	NUM
esrj-99036	31	2	.	.	PUNCT
esrj-99036	32	1	introduction	introduction	NOUN
esrj-99036	32	2	according	accord	VERB
esrj-99036	32	3	to	to	ADP
esrj-99036	32	4	flores	flores	PROPN
esrj-99036	32	5	et	et	PROPN
esrj-99036	32	6	al	al	PROPN
esrj-99036	32	7	.	.	PROPN
esrj-99036	33	1	(	(	PUNCT
esrj-99036	33	2	2012	2012	NUM
esrj-99036	33	3	)	)	PUNCT
esrj-99036	33	4	,	,	PUNCT
esrj-99036	33	5	the	the	DET
esrj-99036	33	6	area	area	NOUN
esrj-99036	33	7	in	in	ADP
esrj-99036	33	8	the	the	DET
esrj-99036	33	9	state	state	NOUN
esrj-99036	33	10	of	of	ADP
esrj-99036	33	11	sinaloa	sinaloa	NOUN
esrj-99036	33	12	is	be	AUX
esrj-99036	33	13	predominantly	predominantly	ADV
esrj-99036	33	14	classified	classify	VERB
esrj-99036	33	15	as	as	ADP
esrj-99036	33	16	subtropical	subtropical	ADJ
esrj-99036	33	17	-	-	PUNCT
esrj-99036	33	18	intertropical	intertropical	ADJ
esrj-99036	33	19	,	,	PUNCT
esrj-99036	33	20	with	with	ADP
esrj-99036	33	21	zones	zone	NOUN
esrj-99036	33	22	of	of	ADP
esrj-99036	33	23	low	low	ADJ
esrj-99036	33	24	topographic	topographic	ADJ
esrj-99036	33	25	relief	relief	NOUN
esrj-99036	33	26	near	near	ADP
esrj-99036	33	27	the	the	DET
esrj-99036	33	28	pacific	pacific	PROPN
esrj-99036	33	29	ocean	ocean	NOUN
esrj-99036	33	30	and	and	CCONJ
esrj-99036	33	31	extreme	extreme	ADJ
esrj-99036	33	32	elevations	elevation	NOUN
esrj-99036	33	33	in	in	ADP
esrj-99036	33	34	the	the	DET
esrj-99036	33	35	mountain	mountain	NOUN
esrj-99036	33	36	system	system	NOUN
esrj-99036	33	37	known	know	VERB
esrj-99036	33	38	as	as	ADP
esrj-99036	33	39	the	the	DET
esrj-99036	33	40	sierra	sierra	PROPN
esrj-99036	33	41	madre	madre	PROPN
esrj-99036	33	42	occidental	occidental	PROPN
esrj-99036	33	43	.	.	PUNCT
esrj-99036	34	1	the	the	DET
esrj-99036	34	2	climatic	climatic	ADJ
esrj-99036	34	3	variability	variability	NOUN
esrj-99036	34	4	–	–	PUNCT
esrj-99036	34	5	randomness	randomness	NOUN
esrj-99036	34	6	of	of	ADP
esrj-99036	34	7	this	this	DET
esrj-99036	34	8	area	area	NOUN
esrj-99036	34	9	can	can	AUX
esrj-99036	34	10	be	be	AUX
esrj-99036	34	11	numerically	numerically	ADV
esrj-99036	34	12	modeled	model	VERB
esrj-99036	34	13	using	use	VERB
esrj-99036	34	14	criteria	criterion	NOUN
esrj-99036	34	15	based	base	VERB
esrj-99036	34	16	on	on	ADP
esrj-99036	34	17	significant	significant	ADJ
esrj-99036	34	18	trends	trend	NOUN
esrj-99036	34	19	(	(	PUNCT
esrj-99036	34	20	st	st	NOUN
esrj-99036	34	21	)	)	PUNCT
esrj-99036	34	22	,	,	PUNCT
esrj-99036	34	23	adjusted	adjust	VERB
esrj-99036	34	24	return	return	NOUN
esrj-99036	34	25	periods	period	NOUN
esrj-99036	34	26	(	(	PUNCT
esrj-99036	34	27	arp	arp	ADJ
esrj-99036	34	28	)	)	PUNCT
esrj-99036	34	29	and	and	CCONJ
esrj-99036	34	30	fitted	fit	VERB
esrj-99036	34	31	probability	probability	NOUN
esrj-99036	34	32	distribution	distribution	NOUN
esrj-99036	34	33	functions	function	NOUN
esrj-99036	34	34	(	(	PUNCT
esrj-99036	34	35	cohen	cohen	NOUN
esrj-99036	34	36	et	et	PROPN
esrj-99036	34	37	al	al	PROPN
esrj-99036	34	38	.	.	PROPN
esrj-99036	34	39	,	,	PUNCT
esrj-99036	34	40	2012	2012	NUM
esrj-99036	34	41	;	;	PUNCT
esrj-99036	34	42	rustom	rustom	PROPN
esrj-99036	34	43	2012	2012	NUM
esrj-99036	34	44	;	;	PUNCT
esrj-99036	34	45	franzke	franzke	NOUN
esrj-99036	34	46	2015	2015	NUM
esrj-99036	34	47	;	;	PUNCT
esrj-99036	34	48	kienzle	kienzle	VERB
esrj-99036	34	49	2018	2018	NUM
esrj-99036	34	50	;	;	PUNCT
esrj-99036	34	51	chapman	chapman	PROPN
esrj-99036	34	52	et	et	PROPN
esrj-99036	34	53	al	al	PROPN
esrj-99036	34	54	.	.	PROPN
esrj-99036	34	55	,	,	PUNCT
esrj-99036	34	56	2019	2019	NUM
esrj-99036	34	57	;	;	PUNCT
esrj-99036	34	58	garry	garry	PROPN
esrj-99036	34	59	et	et	PROPN
esrj-99036	34	60	al	al	PROPN
esrj-99036	34	61	.	.	PROPN
esrj-99036	34	62	,	,	PUNCT
esrj-99036	34	63	2019	2019	NUM
esrj-99036	34	64	;	;	PUNCT
esrj-99036	34	65	latif	latif	PROPN
esrj-99036	34	66	&	&	CCONJ
esrj-99036	34	67	mustafa	mustafa	PROPN
esrj-99036	34	68	2020	2020	NUM
esrj-99036	34	69	;	;	PUNCT
esrj-99036	34	70	alves	alves	PROPN
esrj-99036	34	71	et	et	PROPN
esrj-99036	34	72	al	al	PROPN
esrj-99036	34	73	.	.	PROPN
esrj-99036	34	74	,	,	PUNCT
esrj-99036	34	75	2021	2021	NUM
esrj-99036	34	76	)	)	PUNCT
esrj-99036	34	77	.	.	PUNCT
esrj-99036	35	1	these	these	DET
esrj-99036	35	2	mathematical	mathematical	ADJ
esrj-99036	35	3	tools	tool	NOUN
esrj-99036	35	4	were	be	AUX
esrj-99036	35	5	used	use	VERB
esrj-99036	35	6	to	to	PART
esrj-99036	35	7	characterize	characterize	VERB
esrj-99036	35	8	the	the	DET
esrj-99036	35	9	climate	climate	NOUN
esrj-99036	35	10	variability	variability	NOUN
esrj-99036	35	11	(	(	PUNCT
esrj-99036	35	12	llanes	llanes	X
esrj-99036	35	13	et	et	NOUN
esrj-99036	35	14	al	al	PROPN
esrj-99036	35	15	.	.	PROPN
esrj-99036	35	16	,	,	PUNCT
esrj-99036	35	17	2022b	2022b	NUM
esrj-99036	35	18	;	;	PUNCT
esrj-99036	35	19	llanes	llane	NOUN
esrj-99036	35	20	,	,	PUNCT
esrj-99036	35	21	2023	2023	NUM
esrj-99036	35	22	)	)	PUNCT
esrj-99036	35	23	and	and	CCONJ
esrj-99036	35	24	randomness	randomness	NOUN
esrj-99036	35	25	of	of	ADP
esrj-99036	35	26	sinaloa	sinaloa	NOUN
esrj-99036	35	27	;	;	PUNCT
esrj-99036	35	28	i.e.	i.e.	X
esrj-99036	35	29	,	,	PUNCT
esrj-99036	35	30	indicators	indicator	NOUN
esrj-99036	35	31	of	of	ADP
esrj-99036	35	32	hot	hot	ADJ
esrj-99036	35	33	extremes	extreme	NOUN
esrj-99036	35	34	(	(	PUNCT
esrj-99036	35	35	he	he	PRON
esrj-99036	35	36	,	,	PUNCT
esrj-99036	35	37	llanes	llanes	PROPN
esrj-99036	35	38	et	et	PROPN
esrj-99036	35	39	al	al	PROPN
esrj-99036	35	40	.	.	PROPN
esrj-99036	35	41	,	,	PUNCT
esrj-99036	35	42	2022a	2022a	NUM
esrj-99036	35	43	)	)	PUNCT
esrj-99036	35	44	,	,	PUNCT
esrj-99036	35	45	since	since	SCONJ
esrj-99036	35	46	determination	determination	NOUN
esrj-99036	35	47	of	of	ADP
esrj-99036	35	48	the	the	DET
esrj-99036	35	49	sts	st	NOUN
esrj-99036	35	50	can	can	AUX
esrj-99036	35	51	be	be	AUX
esrj-99036	35	52	helpful	helpful	ADJ
esrj-99036	35	53	for	for	ADP
esrj-99036	35	54	identifying	identify	VERB
esrj-99036	35	55	zones	zone	NOUN
esrj-99036	35	56	where	where	SCONJ
esrj-99036	35	57	extreme	extreme	ADJ
esrj-99036	35	58	climate	climate	NOUN
esrj-99036	35	59	changes	change	NOUN
esrj-99036	35	60	occur	occur	VERB
esrj-99036	35	61	,	,	PUNCT
esrj-99036	35	62	and	and	CCONJ
esrj-99036	35	63	knowledge	knowledge	NOUN
esrj-99036	35	64	about	about	ADP
esrj-99036	35	65	such	such	ADJ
esrj-99036	35	66	changes	change	NOUN
esrj-99036	35	67	has	have	AUX
esrj-99036	35	68	been	be	AUX
esrj-99036	35	69	demonstrated	demonstrate	VERB
esrj-99036	35	70	to	to	PART
esrj-99036	35	71	be	be	AUX
esrj-99036	35	72	very	very	ADV
esrj-99036	35	73	useful	useful	ADJ
esrj-99036	35	74	for	for	ADP
esrj-99036	35	75	designing	design	VERB
esrj-99036	35	76	adaptation	adaptation	NOUN
esrj-99036	35	77	/	/	SYM
esrj-99036	35	78	prevention	prevention	NOUN
esrj-99036	35	79	strategies	strategy	NOUN
esrj-99036	35	80	to	to	PART
esrj-99036	35	81	face	face	VERB
esrj-99036	35	82	natural	natural	ADJ
esrj-99036	35	83	disasters	disaster	NOUN
esrj-99036	35	84	(	(	PUNCT
esrj-99036	35	85	blanco	blanco	PROPN
esrj-99036	35	86	et	et	PROPN
esrj-99036	35	87	al	al	PROPN
esrj-99036	35	88	.	.	PROPN
esrj-99036	35	89	,	,	PUNCT
esrj-99036	35	90	2014	2014	NUM
esrj-99036	35	91	)	)	PUNCT
esrj-99036	35	92	.	.	PUNCT
esrj-99036	36	1	globally	globally	ADV
esrj-99036	36	2	,	,	PUNCT
esrj-99036	36	3	the	the	DET
esrj-99036	36	4	he	he	PRON
esrj-99036	36	5	maximum	maximum	PROPN
esrj-99036	36	6	maximorum	maximorum	NOUN
esrj-99036	36	7	(	(	PUNCT
esrj-99036	36	8	highest	high	ADJ
esrj-99036	36	9	maximum	maximum	ADJ
esrj-99036	36	10	)	)	PUNCT
esrj-99036	36	11	temperatures	temperature	NOUN
esrj-99036	36	12	(	(	PUNCT
esrj-99036	36	13	mmt	mmt	NOUN
esrj-99036	36	14	)	)	PUNCT
esrj-99036	36	15	are	be	AUX
esrj-99036	36	16	some	some	PRON
esrj-99036	36	17	of	of	ADP
esrj-99036	36	18	the	the	DET
esrj-99036	36	19	most	most	ADV
esrj-99036	36	20	important	important	ADJ
esrj-99036	36	21	indicators	indicator	NOUN
esrj-99036	36	22	of	of	ADP
esrj-99036	36	23	change	change	NOUN
esrj-99036	36	24	climate	climate	NOUN
esrj-99036	36	25	and	and	CCONJ
esrj-99036	36	26	can	can	AUX
esrj-99036	36	27	provide	provide	VERB
esrj-99036	36	28	valuable	valuable	ADJ
esrj-99036	36	29	information	information	NOUN
esrj-99036	36	30	about	about	ADP
esrj-99036	36	31	the	the	DET
esrj-99036	36	32	climate	climate	NOUN
esrj-99036	36	33	conditions	condition	NOUN
esrj-99036	36	34	to	to	PART
esrj-99036	36	35	which	which	PRON
esrj-99036	36	36	the	the	DET
esrj-99036	36	37	crops	crop	NOUN
esrj-99036	36	38	in	in	ADP
esrj-99036	36	39	a	a	DET
esrj-99036	36	40	region	region	NOUN
esrj-99036	36	41	are	be	AUX
esrj-99036	36	42	subjected	subject	VERB
esrj-99036	36	43	(	(	PUNCT
esrj-99036	36	44	li	li	PROPN
esrj-99036	36	45	et	et	PROPN
esrj-99036	36	46	al	al	PROPN
esrj-99036	36	47	.	.	PROPN
esrj-99036	36	48	,	,	PUNCT
esrj-99036	36	49	2018	2018	NUM
esrj-99036	36	50	;	;	PUNCT
esrj-99036	36	51	ruiz	ruiz	NOUN
esrj-99036	36	52	et	et	PROPN
esrj-99036	36	53	al	al	PROPN
esrj-99036	36	54	.	.	PROPN
esrj-99036	36	55	,	,	PUNCT
esrj-99036	36	56	2005	2005	NUM
esrj-99036	36	57	)	)	PUNCT
esrj-99036	36	58	.	.	PUNCT
esrj-99036	37	1	the	the	DET
esrj-99036	37	2	major	major	ADJ
esrj-99036	37	3	crops	crop	NOUN
esrj-99036	37	4	produced	produce	VERB
esrj-99036	37	5	in	in	ADP
esrj-99036	37	6	the	the	DET
esrj-99036	37	7	area	area	NOUN
esrj-99036	37	8	of	of	ADP
esrj-99036	37	9	sinaloa	sinaloa	PROPN
esrj-99036	37	10	state	state	PROPN
esrj-99036	37	11	,	,	PUNCT
esrj-99036	37	12	nicknamed	nickname	VERB
esrj-99036	37	13	“	"	PUNCT
esrj-99036	37	14	the	the	DET
esrj-99036	37	15	breadbasket	breadbasket	NOUN
esrj-99036	37	16	of	of	ADP
esrj-99036	37	17	mexico	mexico	PROPN
esrj-99036	37	18	”	"	PUNCT
esrj-99036	37	19	(	(	PUNCT
esrj-99036	37	20	rincón	rincón	PROPN
esrj-99036	37	21	2012	2012	NUM
esrj-99036	37	22	)	)	PUNCT
esrj-99036	37	23	,	,	PUNCT
esrj-99036	37	24	are	be	AUX
esrj-99036	37	25	maize	maize	NOUN
esrj-99036	37	26	,	,	PUNCT
esrj-99036	37	27	sorghum	sorghum	NOUN
esrj-99036	37	28	,	,	PUNCT
esrj-99036	37	29	wheat	wheat	NOUN
esrj-99036	37	30	,	,	PUNCT
esrj-99036	37	31	and	and	CCONJ
esrj-99036	37	32	beans	bean	NOUN
esrj-99036	37	33	,	,	PUNCT
esrj-99036	37	34	which	which	PRON
esrj-99036	37	35	are	be	AUX
esrj-99036	37	36	particularly	particularly	ADV
esrj-99036	37	37	vulnerable	vulnerable	ADJ
esrj-99036	37	38	to	to	ADP
esrj-99036	37	39	temperature	temperature	NOUN
esrj-99036	37	40	extremes	extreme	NOUN
esrj-99036	37	41	and	and	CCONJ
esrj-99036	37	42	droughts	drought	NOUN
esrj-99036	37	43	(	(	PUNCT
esrj-99036	37	44	sagarpa	sagarpa	PROPN
esrj-99036	37	45	2015	2015	NUM
esrj-99036	37	46	;	;	PUNCT
esrj-99036	37	47	gudko	gudko	VERB
esrj-99036	37	48	et	et	PROPN
esrj-99036	37	49	al	al	PROPN
esrj-99036	37	50	.	.	PROPN
esrj-99036	37	51	,	,	PUNCT
esrj-99036	37	52	2021	2021	NUM
esrj-99036	37	53	;	;	PUNCT
esrj-99036	37	54	gurung	gurung	PROPN
esrj-99036	37	55	et	et	PROPN
esrj-99036	37	56	al	al	PROPN
esrj-99036	37	57	.	.	PROPN
esrj-99036	37	58	,	,	PUNCT
esrj-99036	37	59	2021	2021	NUM
esrj-99036	37	60	;	;	PUNCT
esrj-99036	37	61	habibi	habibi	PROPN
esrj-99036	37	62	&	&	CCONJ
esrj-99036	37	63	meddi	meddi	PROPN
esrj-99036	37	64	2021	2021	NUM
esrj-99036	37	65	)	)	PUNCT
esrj-99036	37	66	.	.	PUNCT
esrj-99036	38	1	the	the	DET
esrj-99036	38	2	negative	negative	ADJ
esrj-99036	38	3	effects	effect	NOUN
esrj-99036	38	4	of	of	ADP
esrj-99036	38	5	a	a	DET
esrj-99036	38	6	high	high	ADJ
esrj-99036	38	7	frequency	frequency	NOUN
esrj-99036	38	8	of	of	ADP
esrj-99036	38	9	maximum	maximum	ADJ
esrj-99036	38	10	extreme	extreme	ADJ
esrj-99036	38	11	temperature	temperature	NOUN
esrj-99036	38	12	(	(	PUNCT
esrj-99036	38	13	met	meet	VERB
esrj-99036	38	14	)	)	PUNCT
esrj-99036	38	15	events	event	NOUN
esrj-99036	38	16	can	can	AUX
esrj-99036	38	17	include	include	VERB
esrj-99036	38	18	human	human	ADJ
esrj-99036	38	19	deaths	death	NOUN
esrj-99036	38	20	as	as	ADP
esrj-99036	38	21	a	a	DET
esrj-99036	38	22	consequence	consequence	NOUN
esrj-99036	38	23	of	of	ADP
esrj-99036	38	24	gastrointestinal	gastrointestinal	ADJ
esrj-99036	38	25	diseases	disease	NOUN
esrj-99036	38	26	and	and	CCONJ
esrj-99036	38	27	heat	heat	NOUN
esrj-99036	38	28	stroke	stroke	NOUN
esrj-99036	38	29	(	(	PUNCT
esrj-99036	38	30	murage	murage	NOUN
esrj-99036	38	31	et	et	PROPN
esrj-99036	38	32	al	al	PROPN
esrj-99036	38	33	.	.	PROPN
esrj-99036	38	34	,	,	PUNCT
esrj-99036	38	35	2017	2017	NUM
esrj-99036	38	36	;	;	PUNCT
esrj-99036	38	37	ops	op	NOUN
esrj-99036	38	38	2019	2019	NUM
esrj-99036	38	39	)	)	PUNCT
esrj-99036	38	40	.	.	PUNCT
esrj-99036	39	1	with	with	ADP
esrj-99036	39	2	arps	arps	PROPN
esrj-99036	39	3	,	,	PUNCT
esrj-99036	39	4	the	the	DET
esrj-99036	39	5	indicators	indicator	NOUN
esrj-99036	39	6	of	of	ADP
esrj-99036	39	7	climate	climate	NOUN
esrj-99036	39	8	extremes	extreme	NOUN
esrj-99036	39	9	can	can	AUX
esrj-99036	39	10	be	be	AUX
esrj-99036	39	11	estimated	estimate	VERB
esrj-99036	39	12	with	with	ADP
esrj-99036	39	13	very	very	ADV
esrj-99036	39	14	low	low	ADJ
esrj-99036	39	15	uncertainty	uncertainty	NOUN
esrj-99036	39	16	and	and	CCONJ
esrj-99036	39	17	the	the	DET
esrj-99036	39	18	highest	high	ADJ
esrj-99036	39	19	efficiency	efficiency	NOUN
esrj-99036	39	20	and	and	CCONJ
esrj-99036	39	21	reliability	reliability	NOUN
esrj-99036	39	22	(	(	PUNCT
esrj-99036	39	23	aguilera	aguilera	PROPN
esrj-99036	39	24	2007	2007	NUM
esrj-99036	39	25	;	;	PUNCT
esrj-99036	39	26	campos	campos	PROPN
esrj-99036	39	27	2014	2014	NUM
esrj-99036	39	28	;	;	PUNCT
esrj-99036	39	29	lustenberger	lustenberger	PROPN
esrj-99036	39	30	et	et	PROPN
esrj-99036	39	31	al	al	PROPN
esrj-99036	39	32	.	.	PROPN
esrj-99036	39	33	,	,	PUNCT
esrj-99036	39	34	2014	2014	NUM
esrj-99036	39	35	;	;	PUNCT
esrj-99036	39	36	deng	deng	PROPN
esrj-99036	39	37	&	&	CCONJ
esrj-99036	39	38	zhu	zhu	PROPN
esrj-99036	39	39	2021	2021	NUM
esrj-99036	39	40	)	)	PUNCT
esrj-99036	39	41	.	.	PUNCT
esrj-99036	40	1	worldwide	worldwide	ADV
esrj-99036	40	2	,	,	PUNCT
esrj-99036	40	3	there	there	PRON
esrj-99036	40	4	are	be	VERB
esrj-99036	40	5	multiple	multiple	ADJ
esrj-99036	40	6	studies	study	NOUN
esrj-99036	40	7	that	that	PRON
esrj-99036	40	8	address	address	VERB
esrj-99036	40	9	st	st	PROPN
esrj-99036	40	10	using	use	VERB
esrj-99036	40	11	non	non	ADJ
esrj-99036	40	12	-	-	ADJ
esrj-99036	40	13	parametric	parametric	ADJ
esrj-99036	40	14	mann	mann	PROPN
esrj-99036	40	15	–	–	PUNCT
esrj-99036	40	16	kendall	kendall	PROPN
esrj-99036	40	17	tests	test	NOUN
esrj-99036	40	18	(	(	PUNCT
esrj-99036	40	19	kumar	kumar	PROPN
esrj-99036	40	20	et	et	PROPN
esrj-99036	40	21	al	al	PROPN
esrj-99036	40	22	.	.	PROPN
esrj-99036	40	23	,	,	PUNCT
esrj-99036	40	24	2023	2023	NUM
esrj-99036	40	25	)	)	PUNCT
esrj-99036	40	26	,	,	PUNCT
esrj-99036	40	27	as	as	ADV
esrj-99036	40	28	well	well	ADV
esrj-99036	40	29	as	as	ADP
esrj-99036	40	30	the	the	DET
esrj-99036	40	31	use	use	NOUN
esrj-99036	40	32	of	of	ADP
esrj-99036	40	33	fitted	fit	VERB
esrj-99036	40	34	probability	probability	NOUN
esrj-99036	40	35	distribution	distribution	NOUN
esrj-99036	40	36	functions	function	NOUN
esrj-99036	40	37	,	,	PUNCT
esrj-99036	40	38	due	due	ADJ
esrj-99036	40	39	principally	principally	ADV
esrj-99036	40	40	to	to	ADP
esrj-99036	40	41	the	the	DET
esrj-99036	40	42	importance	importance	NOUN
esrj-99036	40	43	,	,	PUNCT
esrj-99036	40	44	reliability	reliability	NOUN
esrj-99036	40	45	,	,	PUNCT
esrj-99036	40	46	and	and	CCONJ
esrj-99036	40	47	efficiency	efficiency	NOUN
esrj-99036	40	48	of	of	ADP
esrj-99036	40	49	modeling	modeling	NOUN
esrj-99036	40	50	(	(	PUNCT
esrj-99036	40	51	gonzález	gonzález	PROPN
esrj-99036	40	52	et	et	PROPN
esrj-99036	40	53	al	al	PROPN
esrj-99036	40	54	.	.	PROPN
esrj-99036	40	55	,	,	PUNCT
esrj-99036	40	56	2011	2011	NUM
esrj-99036	40	57	;	;	PUNCT
esrj-99036	40	58	fontanelli	fontanelli	PROPN
esrj-99036	40	59	et	et	PROPN
esrj-99036	40	60	al	al	PROPN
esrj-99036	40	61	.	.	PROPN
esrj-99036	40	62	,	,	PUNCT
esrj-99036	40	63	2019	2019	NUM
esrj-99036	40	64	)	)	PUNCT
esrj-99036	40	65	.	.	PUNCT
esrj-99036	41	1	in	in	ADP
esrj-99036	41	2	this	this	DET
esrj-99036	41	3	study	study	NOUN
esrj-99036	41	4	,	,	PUNCT
esrj-99036	41	5	based	base	VERB
esrj-99036	41	6	on	on	ADP
esrj-99036	41	7	he	he	PRON
esrj-99036	41	8	indicators	indicator	NOUN
esrj-99036	41	9	(	(	PUNCT
esrj-99036	41	10	li	li	PROPN
esrj-99036	41	11	et	et	PROPN
esrj-99036	41	12	al	al	PROPN
esrj-99036	41	13	.	.	PROPN
esrj-99036	41	14	,	,	PUNCT
esrj-99036	41	15	2018	2018	NUM
esrj-99036	41	16	)	)	PUNCT
esrj-99036	41	17	of	of	ADP
esrj-99036	41	18	the	the	DET
esrj-99036	41	19	met	met	NOUN
esrj-99036	41	20	and	and	CCONJ
esrj-99036	41	21	mmt	mmt	PROPN
esrj-99036	41	22	(	(	PUNCT
esrj-99036	41	23	ruiz	ruiz	NOUN
esrj-99036	41	24	et	et	PROPN
esrj-99036	41	25	al	al	PROPN
esrj-99036	41	26	.	.	PROPN
esrj-99036	41	27	,	,	PUNCT
esrj-99036	41	28	2005	2005	NUM
esrj-99036	41	29	)	)	PUNCT
esrj-99036	41	30	,	,	PUNCT
esrj-99036	41	31	the	the	DET
esrj-99036	41	32	negative	negative	ADJ
esrj-99036	41	33	climate	climate	NOUN
esrj-99036	41	34	effects	effect	NOUN
esrj-99036	41	35	in	in	ADP
esrj-99036	41	36	sinaloa	sinaloa	NOUN
esrj-99036	41	37	were	be	AUX
esrj-99036	41	38	calculated	calculate	VERB
esrj-99036	41	39	according	accord	VERB
esrj-99036	41	40	to	to	ADP
esrj-99036	41	41	the	the	DET
esrj-99036	41	42	criteria	criterion	NOUN
esrj-99036	41	43	established	establish	VERB
esrj-99036	41	44	by	by	ADP
esrj-99036	41	45	li	li	PROPN
esrj-99036	41	46	et	et	PROPN
esrj-99036	41	47	al	al	PROPN
esrj-99036	41	48	.	.	PROPN
esrj-99036	42	1	(	(	PUNCT
esrj-99036	42	2	2018	2018	NUM
esrj-99036	42	3	)	)	PUNCT
esrj-99036	42	4	.	.	PUNCT
esrj-99036	43	1	according	accord	VERB
esrj-99036	43	2	to	to	ADP
esrj-99036	43	3	wang	wang	PROPN
esrj-99036	43	4	et	et	PROPN
esrj-99036	43	5	al	al	PROPN
esrj-99036	43	6	.	.	PROPN
esrj-99036	44	1	(	(	PUNCT
esrj-99036	44	2	2016	2016	NUM
esrj-99036	44	3	)	)	PUNCT
esrj-99036	44	4	and	and	CCONJ
esrj-99036	44	5	hochman	hochman	NOUN
esrj-99036	44	6	et	et	PROPN
esrj-99036	44	7	al	al	PROPN
esrj-99036	44	8	.	.	PROPN
esrj-99036	45	1	(	(	PUNCT
esrj-99036	45	2	2022	2022	NUM
esrj-99036	45	3	)	)	PUNCT
esrj-99036	45	4	,	,	PUNCT
esrj-99036	45	5	many	many	ADJ
esrj-99036	45	6	studies	study	NOUN
esrj-99036	45	7	indicate	indicate	VERB
esrj-99036	45	8	that	that	SCONJ
esrj-99036	45	9	extreme	extreme	ADJ
esrj-99036	45	10	climate	climate	NOUN
esrj-99036	45	11	events	event	NOUN
esrj-99036	45	12	may	may	AUX
esrj-99036	45	13	intensify	intensify	VERB
esrj-99036	45	14	or	or	CCONJ
esrj-99036	45	15	become	become	VERB
esrj-99036	45	16	more	more	ADV
esrj-99036	45	17	frequent	frequent	ADJ
esrj-99036	45	18	and	and	CCONJ
esrj-99036	45	19	long	long	ADV
esrj-99036	45	20	-	-	PUNCT
esrj-99036	45	21	lasting	last	VERB
esrj-99036	45	22	with	with	ADP
esrj-99036	45	23	climate	climate	NOUN
esrj-99036	45	24	change	change	NOUN
esrj-99036	45	25	,	,	PUNCT
esrj-99036	45	26	especially	especially	ADV
esrj-99036	45	27	in	in	ADP
esrj-99036	45	28	semi	semi	ADJ
esrj-99036	45	29	-	-	ADJ
esrj-99036	45	30	arid	arid	ADJ
esrj-99036	45	31	regions	region	NOUN
esrj-99036	45	32	(	(	PUNCT
esrj-99036	45	33	demisse	demisse	NOUN
esrj-99036	45	34	et	et	PROPN
esrj-99036	45	35	al	al	PROPN
esrj-99036	45	36	.	.	PROPN
esrj-99036	45	37	,	,	PUNCT
esrj-99036	45	38	2022	2022	NUM
esrj-99036	45	39	)	)	PUNCT
esrj-99036	45	40	such	such	ADJ
esrj-99036	45	41	as	as	ADP
esrj-99036	45	42	the	the	DET
esrj-99036	45	43	state	state	NOUN
esrj-99036	45	44	of	of	ADP
esrj-99036	45	45	sinaloa	sinaloa	PROPN
esrj-99036	45	46	(	(	PUNCT
esrj-99036	45	47	llanes	llanes	PROPN
esrj-99036	45	48	et	et	NOUN
esrj-99036	45	49	al	al	PROPN
esrj-99036	45	50	.	.	PROPN
esrj-99036	45	51	,	,	PUNCT
esrj-99036	45	52	2022b	2022b	NUM
esrj-99036	45	53	)	)	PUNCT
esrj-99036	45	54	.	.	PUNCT
esrj-99036	46	1	due	due	ADP
esrj-99036	46	2	to	to	ADP
esrj-99036	46	3	the	the	DET
esrj-99036	46	4	high	high	ADJ
esrj-99036	46	5	interconnection	interconnection	NOUN
esrj-99036	46	6	with	with	ADP
esrj-99036	46	7	drought	drought	NOUN
esrj-99036	46	8	(	(	PUNCT
esrj-99036	46	9	horton	horton	PROPN
esrj-99036	46	10	et	et	PROPN
esrj-99036	46	11	al	al	PROPN
esrj-99036	46	12	.	.	PROPN
esrj-99036	46	13	,	,	PUNCT
esrj-99036	46	14	2016	2016	NUM
esrj-99036	46	15	;	;	PUNCT
esrj-99036	46	16	yuan	yuan	NOUN
esrj-99036	46	17	et	et	PROPN
esrj-99036	46	18	al	al	PROPN
esrj-99036	46	19	.	.	PROPN
esrj-99036	46	20	,	,	PUNCT
esrj-99036	46	21	2016	2016	NUM
esrj-99036	46	22	)	)	PUNCT
esrj-99036	46	23	,	,	PUNCT
esrj-99036	46	24	the	the	DET
esrj-99036	46	25	he	he	PROPN
esrj-99036	46	26	indicators	indicator	NOUN
esrj-99036	46	27	calculated	calculate	VERB
esrj-99036	46	28	were	be	AUX
esrj-99036	46	29	frequency	frequency	NOUN
esrj-99036	46	30	(	(	PUNCT
esrj-99036	46	31	fr	fr	PROPN
esrj-99036	46	32	)	)	PUNCT
esrj-99036	46	33	,	,	PUNCT
esrj-99036	46	34	annual	annual	ADJ
esrj-99036	46	35	average	average	ADJ
esrj-99036	46	36	duration	duration	NOUN
esrj-99036	46	37	(	(	PUNCT
esrj-99036	46	38	aad	aad	INTJ
esrj-99036	46	39	)	)	PUNCT
esrj-99036	46	40	,	,	PUNCT
esrj-99036	46	41	annual	annual	ADJ
esrj-99036	46	42	daily	daily	ADJ
esrj-99036	46	43	duration	duration	NOUN
esrj-99036	46	44	(	(	PUNCT
esrj-99036	46	45	add	add	VERB
esrj-99036	46	46	)	)	PUNCT
esrj-99036	46	47	and	and	CCONJ
esrj-99036	46	48	intensity	intensity	NOUN
esrj-99036	46	49	(	(	PUNCT
esrj-99036	46	50	in	in	ADP
esrj-99036	46	51	)	)	PUNCT
esrj-99036	46	52	(	(	PUNCT
esrj-99036	46	53	seneviratne	seneviratne	NOUN
esrj-99036	46	54	et	et	PROPN
esrj-99036	46	55	al	al	PROPN
esrj-99036	46	56	.	.	PROPN
esrj-99036	46	57	,	,	PUNCT
esrj-99036	46	58	2012	2012	NUM
esrj-99036	46	59	)	)	PUNCT
esrj-99036	46	60	.	.	PUNCT
esrj-99036	47	1	to	to	PART
esrj-99036	47	2	learn	learn	VERB
esrj-99036	47	3	about	about	ADP
esrj-99036	47	4	previous	previous	ADJ
esrj-99036	47	5	research	research	NOUN
esrj-99036	47	6	related	relate	VERB
esrj-99036	47	7	to	to	ADP
esrj-99036	47	8	this	this	DET
esrj-99036	47	9	study	study	NOUN
esrj-99036	47	10	,	,	PUNCT
esrj-99036	47	11	a	a	DET
esrj-99036	47	12	review	review	NOUN
esrj-99036	47	13	was	be	AUX
esrj-99036	47	14	done	do	VERB
esrj-99036	47	15	of	of	ADP
esrj-99036	47	16	the	the	DET
esrj-99036	47	17	literature	literature	NOUN
esrj-99036	47	18	(	(	PUNCT
esrj-99036	47	19	documents	document	NOUN
esrj-99036	47	20	available	available	ADJ
esrj-99036	47	21	locally	locally	ADV
esrj-99036	47	22	and	and	CCONJ
esrj-99036	47	23	worldwide	worldwide	ADV
esrj-99036	47	24	)	)	PUNCT
esrj-99036	47	25	.	.	PUNCT
esrj-99036	48	1	jaiswal	jaiswal	PROPN
esrj-99036	48	2	et	et	PROPN
esrj-99036	48	3	al	al	PROPN
esrj-99036	48	4	.	.	PROPN
esrj-99036	48	5	(	(	PUNCT
esrj-99036	48	6	2023	2023	NUM
esrj-99036	48	7	)	)	PUNCT
esrj-99036	48	8	calculated	calculate	VERB
esrj-99036	48	9	extreme	extreme	ADJ
esrj-99036	48	10	climate	climate	NOUN
esrj-99036	48	11	indices	index	NOUN
esrj-99036	48	12	in	in	ADP
esrj-99036	48	13	india	india	PROPN
esrj-99036	48	14	(	(	PUNCT
esrj-99036	48	15	hot	hot	ADJ
esrj-99036	48	16	days	day	NOUN
esrj-99036	48	17	and	and	CCONJ
esrj-99036	48	18	daily	daily	ADJ
esrj-99036	48	19	maximum	maximum	ADJ
esrj-99036	48	20	temperature	temperature	NOUN
esrj-99036	48	21	)	)	PUNCT
esrj-99036	48	22	and	and	CCONJ
esrj-99036	48	23	llanes	llanes	PROPN
esrj-99036	48	24	et	et	PROPN
esrj-99036	48	25	al	al	PROPN
esrj-99036	48	26	.	.	PROPN
esrj-99036	48	27	(	(	PUNCT
esrj-99036	48	28	2022a	2022a	NUM
esrj-99036	48	29	)	)	PUNCT
esrj-99036	48	30	calculated	calculate	VERB
esrj-99036	48	31	indicators	indicator	NOUN
esrj-99036	48	32	of	of	ADP
esrj-99036	48	33	met	meet	VERB
esrj-99036	48	34	(	(	PUNCT
esrj-99036	48	35	he	he	PRON
esrj-99036	48	36	and	and	CCONJ
esrj-99036	48	37	mmt	mmt	NOUN
esrj-99036	48	38	)	)	PUNCT
esrj-99036	48	39	in	in	ADP
esrj-99036	48	40	sinaloa	sinaloa	NOUN
esrj-99036	48	41	,	,	PUNCT
esrj-99036	48	42	but	but	CCONJ
esrj-99036	48	43	did	do	AUX
esrj-99036	48	44	not	not	PART
esrj-99036	48	45	calculate	calculate	VERB
esrj-99036	48	46	their	their	PRON
esrj-99036	48	47	trends	trend	NOUN
esrj-99036	48	48	or	or	CCONJ
esrj-99036	48	49	return	return	VERB
esrj-99036	48	50	periods	period	NOUN
esrj-99036	48	51	through	through	ADP
esrj-99036	48	52	fitted	fit	VERB
esrj-99036	48	53	probability	probability	NOUN
esrj-99036	48	54	distribution	distribution	NOUN
esrj-99036	48	55	functions	function	NOUN
esrj-99036	48	56	.	.	PUNCT
esrj-99036	49	1	the	the	DET
esrj-99036	49	2	modeling	modeling	NOUN
esrj-99036	49	3	tools	tool	NOUN
esrj-99036	49	4	of	of	ADP
esrj-99036	49	5	this	this	DET
esrj-99036	49	6	study	study	NOUN
esrj-99036	49	7	(	(	PUNCT
esrj-99036	49	8	st	st	PROPN
esrj-99036	49	9	,	,	PUNCT
esrj-99036	49	10	fitted	fit	VERB
esrj-99036	49	11	probability	probability	NOUN
esrj-99036	49	12	distribution	distribution	NOUN
esrj-99036	49	13	functions	function	NOUN
esrj-99036	49	14	and	and	CCONJ
esrj-99036	49	15	arp	arp	ADJ
esrj-99036	49	16	)	)	PUNCT
esrj-99036	49	17	provide	provide	VERB
esrj-99036	49	18	a	a	DET
esrj-99036	49	19	new	new	ADJ
esrj-99036	49	20	method	method	NOUN
esrj-99036	49	21	to	to	PART
esrj-99036	49	22	estimate	estimate	VERB
esrj-99036	49	23	the	the	DET
esrj-99036	49	24	frequency	frequency	NOUN
esrj-99036	49	25	of	of	ADP
esrj-99036	49	26	occurrence	occurrence	NOUN
esrj-99036	49	27	of	of	ADP
esrj-99036	49	28	met	meet	VERB
esrj-99036	49	29	indicators	indicator	NOUN
esrj-99036	49	30	he	he	PRON
esrj-99036	49	31	(	(	PUNCT
esrj-99036	49	32	fr	fr	ADJ
esrj-99036	49	33	,	,	PUNCT
esrj-99036	49	34	aad	aad	INTJ
esrj-99036	49	35	,	,	PUNCT
esrj-99036	49	36	add	add	VERB
esrj-99036	49	37	and	and	CCONJ
esrj-99036	49	38	in	in	ADP
esrj-99036	49	39	)	)	PUNCT
esrj-99036	49	40	and	and	CCONJ
esrj-99036	49	41	mmt	mmt	PROPN
esrj-99036	49	42	.	.	PUNCT
esrj-99036	50	1	this	this	DET
esrj-99036	50	2	method	method	NOUN
esrj-99036	50	3	can	can	AUX
esrj-99036	50	4	help	help	VERB
esrj-99036	50	5	to	to	PART
esrj-99036	50	6	prevent	prevent	VERB
esrj-99036	50	7	impacts	impact	NOUN
esrj-99036	50	8	on	on	ADP
esrj-99036	50	9	agricultural	agricultural	ADJ
esrj-99036	50	10	yields	yield	NOUN
esrj-99036	50	11	through	through	ADP
esrj-99036	50	12	climatesmart	climatesmart	NOUN
esrj-99036	50	13	practices	practice	NOUN
esrj-99036	50	14	such	such	ADJ
esrj-99036	50	15	as	as	ADP
esrj-99036	50	16	drip	drip	NOUN
esrj-99036	50	17	irrigation	irrigation	NOUN
esrj-99036	50	18	,	,	PUNCT
esrj-99036	50	19	conservation	conservation	NOUN
esrj-99036	50	20	agriculture	agriculture	NOUN
esrj-99036	50	21	,	,	PUNCT
esrj-99036	50	22	precision	precision	NOUN
esrj-99036	50	23	fertilization	fertilization	NOUN
esrj-99036	50	24	,	,	PUNCT
esrj-99036	50	25	protected	protect	VERB
esrj-99036	50	26	agriculture	agriculture	NOUN
esrj-99036	50	27	,	,	PUNCT
esrj-99036	50	28	and	and	CCONJ
esrj-99036	50	29	crop	crop	NOUN
esrj-99036	50	30	substitution	substitution	NOUN
esrj-99036	50	31	,	,	PUNCT
esrj-99036	50	32	which	which	PRON
esrj-99036	50	33	will	will	AUX
esrj-99036	50	34	withstand	withstand	VERB
esrj-99036	50	35	future	future	ADJ
esrj-99036	50	36	hot	hot	ADJ
esrj-99036	50	37	temperature	temperature	NOUN
esrj-99036	50	38	extremes	extreme	NOUN
esrj-99036	50	39	(	(	PUNCT
esrj-99036	50	40	world	world	PROPN
esrj-99036	50	41	bank	bank	PROPN
esrj-99036	50	42	et	et	PROPN
esrj-99036	50	43	al	al	PROPN
esrj-99036	50	44	.	.	PROPN
esrj-99036	50	45	,	,	PUNCT
esrj-99036	50	46	2014	2014	NUM
esrj-99036	50	47	)	)	PUNCT
esrj-99036	50	48	,	,	PUNCT
esrj-99036	50	49	not	not	PART
esrj-99036	50	50	only	only	ADV
esrj-99036	50	51	in	in	ADP
esrj-99036	50	52	sinaloa	sinaloa	NOUN
esrj-99036	50	53	,	,	PUNCT
esrj-99036	50	54	but	but	CCONJ
esrj-99036	50	55	throughout	throughout	ADP
esrj-99036	50	56	mexico	mexico	PROPN
esrj-99036	50	57	.	.	PUNCT
esrj-99036	51	1	for	for	ADP
esrj-99036	51	2	this	this	DET
esrj-99036	51	3	reason	reason	NOUN
esrj-99036	51	4	,	,	PUNCT
esrj-99036	51	5	the	the	DET
esrj-99036	51	6	goal	goal	NOUN
esrj-99036	51	7	of	of	ADP
esrj-99036	51	8	this	this	DET
esrj-99036	51	9	investigation	investigation	NOUN
esrj-99036	51	10	was	be	AUX
esrj-99036	51	11	to	to	PART
esrj-99036	51	12	calculate	calculate	VERB
esrj-99036	51	13	met	meet	VERB
esrj-99036	51	14	indicators	indicator	NOUN
esrj-99036	51	15	based	base	VERB
esrj-99036	51	16	on	on	ADP
esrj-99036	51	17	sts	st	NOUN
esrj-99036	51	18	and	and	CCONJ
esrj-99036	51	19	arps	arp	NOUN
esrj-99036	51	20	,	,	PUNCT
esrj-99036	51	21	to	to	PART
esrj-99036	51	22	design	design	VERB
esrj-99036	51	23	climate	climate	NOUN
esrj-99036	51	24	-	-	PUNCT
esrj-99036	51	25	smart	smart	ADJ
esrj-99036	51	26	agricultural	agricultural	ADJ
esrj-99036	51	27	adaptation	adaptation	NOUN
esrj-99036	51	28	/	/	SYM
esrj-99036	51	29	prevention	prevention	NOUN
esrj-99036	51	30	strategies	strategy	NOUN
esrj-99036	51	31	.	.	PUNCT
esrj-99036	52	1	2	2	X
esrj-99036	52	2	.	.	X
esrj-99036	52	3	material	material	NOUN
esrj-99036	52	4	and	and	CCONJ
esrj-99036	52	5	methods	method	NOUN
esrj-99036	52	6	2.1	2.1	NUM
esrj-99036	52	7	study	study	NOUN
esrj-99036	52	8	area	area	NOUN
esrj-99036	52	9	the	the	DET
esrj-99036	52	10	state	state	NOUN
esrj-99036	52	11	of	of	ADP
esrj-99036	52	12	sinaloa	sinaloa	NOUN
esrj-99036	52	13	is	be	AUX
esrj-99036	52	14	located	locate	VERB
esrj-99036	52	15	between	between	ADP
esrj-99036	52	16	105	105	NUM
esrj-99036	52	17	°	°	NUM
esrj-99036	52	18	23′	23′	NUM
esrj-99036	52	19	32″	32″	NUM
esrj-99036	52	20	and	and	CCONJ
esrj-99036	52	21	109	109	NUM
esrj-99036	52	22	°	°	NUM
esrj-99036	53	1	26′	26′	PROPN
esrj-99036	53	2	52″	52″	NUM
esrj-99036	53	3	n	n	CCONJ
esrj-99036	53	4	,	,	PUNCT
esrj-99036	53	5	and	and	CCONJ
esrj-99036	53	6	27	27	NUM
esrj-99036	53	7	°	°	NUM
esrj-99036	53	8	02′	02′	PROPN
esrj-99036	53	9	32″	32″	NUM
esrj-99036	53	10	and	and	CCONJ
esrj-99036	53	11	22	22	NUM
esrj-99036	53	12	°	°	NUM
esrj-99036	53	13	28′	28′	VERB
esrj-99036	53	14	02″	02″	ADJ
esrj-99036	53	15	w	w	PROPN
esrj-99036	53	16	(	(	PUNCT
esrj-99036	53	17	figure	figure	NOUN
esrj-99036	53	18	1	1	NUM
esrj-99036	53	19	)	)	PUNCT
esrj-99036	53	20	.	.	PUNCT
esrj-99036	54	1	it	it	PRON
esrj-99036	54	2	comprises	comprise	VERB
esrj-99036	54	3	approximately	approximately	ADV
esrj-99036	54	4	2.9	2.9	NUM
esrj-99036	54	5	%	%	NOUN
esrj-99036	54	6	of	of	ADP
esrj-99036	54	7	the	the	DET
esrj-99036	54	8	total	total	ADJ
esrj-99036	54	9	territory	territory	NOUN
esrj-99036	54	10	of	of	ADP
esrj-99036	54	11	the	the	DET
esrj-99036	54	12	country	country	NOUN
esrj-99036	54	13	(	(	PUNCT
esrj-99036	54	14	inegi	inegi	PROPN
esrj-99036	54	15	2016	2016	NUM
esrj-99036	54	16	)	)	PUNCT
esrj-99036	54	17	.	.	PUNCT
esrj-99036	55	1	longitude	longitude	PROPN
esrj-99036	56	1	la	la	ADV
esrj-99036	56	2	tit	tit	NOUN
esrj-99036	57	1	ud	ud	INTJ
esrj-99036	57	2	e	e	NOUN
esrj-99036	57	3	figure	figure	NOUN
esrj-99036	57	4	1	1	NUM
esrj-99036	57	5	.	.	PUNCT
esrj-99036	58	1	location	location	NOUN
esrj-99036	58	2	of	of	ADP
esrj-99036	58	3	the	the	DET
esrj-99036	58	4	study	study	NOUN
esrj-99036	58	5	area	area	NOUN
esrj-99036	58	6	.	.	PUNCT
esrj-99036	59	1	state	state	NOUN
esrj-99036	59	2	of	of	ADP
esrj-99036	59	3	sinaloa	sinaloa	PROPN
esrj-99036	59	4	source	source	PROPN
esrj-99036	59	5	:	:	PUNCT
esrj-99036	59	6	llanes	llanes	PROPN
esrj-99036	59	7	et	et	PROPN
esrj-99036	59	8	al	al	PROPN
esrj-99036	59	9	.	.	PROPN
esrj-99036	60	1	(	(	PUNCT
esrj-99036	60	2	2021	2021	NUM
esrj-99036	60	3	)	)	PUNCT
esrj-99036	60	4	2.2	2.2	NUM
esrj-99036	60	5	data	datum	NOUN
esrj-99036	60	6	collection	collection	NOUN
esrj-99036	60	7	and	and	CCONJ
esrj-99036	60	8	processing	process	VERB
esrj-99036	60	9	daily	daily	ADJ
esrj-99036	60	10	maximum	maximum	ADJ
esrj-99036	60	11	temperature	temperature	NOUN
esrj-99036	60	12	data	datum	NOUN
esrj-99036	60	13	for	for	ADP
esrj-99036	60	14	april	april	PROPN
esrj-99036	60	15	–	–	PUNCT
esrj-99036	60	16	october	october	PROPN
esrj-99036	60	17	were	be	AUX
esrj-99036	60	18	obtained	obtain	VERB
esrj-99036	60	19	for	for	ADP
esrj-99036	60	20	19	19	NUM
esrj-99036	60	21	weather	weather	NOUN
esrj-99036	60	22	stations	station	NOUN
esrj-99036	60	23	in	in	ADP
esrj-99036	60	24	the	the	DET
esrj-99036	60	25	study	study	NOUN
esrj-99036	60	26	area	area	NOUN
esrj-99036	60	27	from	from	ADP
esrj-99036	60	28	the	the	DET
esrj-99036	60	29	climate	climate	NOUN
esrj-99036	60	30	computing	compute	VERB
esrj-99036	60	31	database	database	NOUN
esrj-99036	60	32	(	(	PUNCT
esrj-99036	60	33	clicom	clicom	PROPN
esrj-99036	60	34	,	,	PUNCT
esrj-99036	60	35	2021	2021	NUM
esrj-99036	60	36	)	)	PUNCT
esrj-99036	60	37	at	at	ADP
esrj-99036	60	38	the	the	DET
esrj-99036	60	39	website	website	NOUN
esrj-99036	60	40	http://clicom-mex.cicese.mx/mapa.html	http://clicom-mex.cicese.mx/mapa.html	PROPN
esrj-99036	60	41	for	for	ADP
esrj-99036	60	42	the	the	DET
esrj-99036	60	43	period	period	NOUN
esrj-99036	60	44	1982–2014	1982–2014	NUM
esrj-99036	60	45	(	(	PUNCT
esrj-99036	60	46	table	table	NOUN
esrj-99036	60	47	1	1	NUM
esrj-99036	60	48	)	)	PUNCT
esrj-99036	60	49	.	.	PUNCT
esrj-99036	61	1	missing	miss	VERB
esrj-99036	61	2	data	datum	NOUN
esrj-99036	61	3	were	be	AUX
esrj-99036	61	4	estimated	estimate	VERB
esrj-99036	61	5	though	though	SCONJ
esrj-99036	61	6	the	the	DET
esrj-99036	61	7	multiple	multiple	ADJ
esrj-99036	61	8	imputation	imputation	NOUN
esrj-99036	61	9	method	method	NOUN
esrj-99036	61	10	(	(	PUNCT
esrj-99036	61	11	little	little	PROPN
esrj-99036	61	12	&	&	CCONJ
esrj-99036	61	13	rubin	rubin	PROPN
esrj-99036	61	14	,	,	PUNCT
esrj-99036	61	15	1987	1987	NUM
esrj-99036	61	16	)	)	PUNCT
esrj-99036	61	17	with	with	ADP
esrj-99036	61	18	the	the	DET
esrj-99036	61	19	markov	markov	NOUN
esrj-99036	61	20	chain	chain	NOUN
esrj-99036	61	21	monte	monte	PROPN
esrj-99036	61	22	carlo	carlo	PROPN
esrj-99036	61	23	algorithm	algorithm	PROPN
esrj-99036	61	24	(	(	PUNCT
esrj-99036	61	25	mcmc	mcmc	PROPN
esrj-99036	61	26	;	;	PUNCT
esrj-99036	61	27	austin	austin	PROPN
esrj-99036	61	28	&	&	CCONJ
esrj-99036	61	29	van	van	PROPN
esrj-99036	61	30	buuren	buuren	PROPN
esrj-99036	61	31	,	,	PUNCT
esrj-99036	61	32	2022	2022	NUM
esrj-99036	61	33	)	)	PUNCT
esrj-99036	61	34	since	since	SCONJ
esrj-99036	61	35	,	,	PUNCT
esrj-99036	61	36	according	accord	VERB
esrj-99036	61	37	to	to	ADP
esrj-99036	61	38	puerta	puerta	PROPN
esrj-99036	61	39	(	(	PUNCT
esrj-99036	61	40	2002	2002	NUM
esrj-99036	61	41	)	)	PUNCT
esrj-99036	61	42	and	and	CCONJ
esrj-99036	61	43	salgado	salgado	PROPN
esrj-99036	61	44	&	&	CCONJ
esrj-99036	61	45	largo	largo	PROPN
esrj-99036	61	46	(	(	PUNCT
esrj-99036	61	47	2018	2018	NUM
esrj-99036	61	48	)	)	PUNCT
esrj-99036	61	49	,	,	PUNCT
esrj-99036	61	50	with	with	ADP
esrj-99036	61	51	this	this	DET
esrj-99036	61	52	method	method	NOUN
esrj-99036	61	53	it	it	PRON
esrj-99036	61	54	is	be	AUX
esrj-99036	61	55	possible	possible	ADJ
esrj-99036	61	56	to	to	PART
esrj-99036	61	57	obtain	obtain	VERB
esrj-99036	61	58	unbiased	unbiased	ADJ
esrj-99036	61	59	estimators	estimator	NOUN
esrj-99036	61	60	that	that	PRON
esrj-99036	61	61	can	can	AUX
esrj-99036	61	62	be	be	AUX
esrj-99036	61	63	used	use	VERB
esrj-99036	61	64	efficiently	efficiently	ADV
esrj-99036	61	65	.	.	PUNCT
esrj-99036	62	1	for	for	ADP
esrj-99036	62	2	this	this	DET
esrj-99036	62	3	calculation	calculation	NOUN
esrj-99036	62	4	,	,	PUNCT
esrj-99036	62	5	the	the	DET
esrj-99036	62	6	xlstat	xlstat	PROPN
esrj-99036	62	7	version	version	PROPN
esrj-99036	62	8	2014	2014	NUM
esrj-99036	62	9	program	program	NOUN
esrj-99036	62	10	was	be	AUX
esrj-99036	62	11	used	use	VERB
esrj-99036	62	12	.	.	PUNCT
esrj-99036	63	1	this	this	DET
esrj-99036	63	2	program	program	NOUN
esrj-99036	63	3	works	work	VERB
esrj-99036	63	4	in	in	ADP
esrj-99036	63	5	the	the	DET
esrj-99036	63	6	windows	window	NOUN
esrj-99036	63	7	excel	excel	NOUN
esrj-99036	63	8	environment	environment	NOUN
esrj-99036	63	9	and	and	CCONJ
esrj-99036	63	10	is	be	AUX
esrj-99036	63	11	widely	widely	ADV
esrj-99036	63	12	used	use	VERB
esrj-99036	63	13	worldwide	worldwide	ADV
esrj-99036	63	14	in	in	ADP
esrj-99036	63	15	climatology	climatology	NOUN
esrj-99036	63	16	.	.	PUNCT
esrj-99036	64	1	these	these	DET
esrj-99036	64	2	data	datum	NOUN
esrj-99036	64	3	were	be	AUX
esrj-99036	64	4	obtained	obtain	VERB
esrj-99036	64	5	from	from	ADP
esrj-99036	64	6	llanes	llanes	PROPN
esrj-99036	64	7	et	et	PROPN
esrj-99036	64	8	al	al	PROPN
esrj-99036	64	9	.	.	PROPN
esrj-99036	65	1	(	(	PUNCT
esrj-99036	65	2	2021	2021	NUM
esrj-99036	65	3	)	)	PUNCT
esrj-99036	65	4	table	table	NOUN
esrj-99036	65	5	1	1	NUM
esrj-99036	65	6	.	.	PUNCT
esrj-99036	65	7	location	location	NOUN
esrj-99036	65	8	of	of	ADP
esrj-99036	65	9	the	the	DET
esrj-99036	65	10	weather	weather	NOUN
esrj-99036	65	11	stations	station	NOUN
esrj-99036	65	12	.	.	PUNCT
esrj-99036	66	1	n	n	AUX
esrj-99036	66	2	um	um	INTJ
esrj-99036	66	3	be	be	AUX
esrj-99036	66	4	r	r	NOUN
esrj-99036	66	5	location	location	NOUN
esrj-99036	66	6	weather	weather	NOUN
esrj-99036	66	7	station	station	NOUN
esrj-99036	66	8	i.d	i.d	PROPN
esrj-99036	66	9	.	.	PROPN
esrj-99036	66	10	lat	lat	PROPN
esrj-99036	66	11	.	.	PUNCT
esrj-99036	67	1	n	n	PRON
esrj-99036	67	2	long	long	ADV
esrj-99036	67	3	.	.	PUNCT
esrj-99036	68	1	w	w	NOUN
esrj-99036	68	2	1	1	NUM
esrj-99036	68	3	24.1	24.1	NUM
esrj-99036	68	4	106.7	106.7	NUM
esrj-99036	68	5	(	(	PUNCT
esrj-99036	68	6	aca	aca	NOUN
esrj-99036	68	7	)	)	PUNCT
esrj-99036	68	8	acatitan	acatitan	ADJ
esrj-99036	68	9	2	2	NUM
esrj-99036	68	10	25.3	25.3	NUM
esrj-99036	68	11	107.5	107.5	NUM
esrj-99036	68	12	(	(	PUNCT
esrj-99036	68	13	bad	bad	ADJ
esrj-99036	68	14	)	)	PUNCT
esrj-99036	68	15	badiraguato	badiraguato	NOUN
esrj-99036	68	16	(	(	PUNCT
esrj-99036	68	17	dge	dge	PROPN
esrj-99036	68	18	)	)	PUNCT
esrj-99036	68	19	3	3	NUM
esrj-99036	68	20	24.8	24.8	NUM
esrj-99036	68	21	107.4	107.4	NUM
esrj-99036	68	22	(	(	PUNCT
esrj-99036	68	23	cul	cul	PROPN
esrj-99036	68	24	)	)	PUNCT
esrj-99036	68	25	culiacan	culiacan	X
esrj-99036	68	26	(	(	PUNCT
esrj-99036	68	27	dge	dge	NOUN
esrj-99036	68	28	)	)	PUNCT
esrj-99036	68	29	4	4	NUM
esrj-99036	68	30	25.2	25.2	NUM
esrj-99036	68	31	108.2	108.2	NUM
esrj-99036	68	32	(	(	PUNCT
esrj-99036	68	33	epl	epl	PROPN
esrj-99036	68	34	)	)	PUNCT
esrj-99036	68	35	el	el	PROPN
esrj-99036	68	36	playon	playon	NOUN
esrj-99036	68	37	5	5	NUM
esrj-99036	68	38	23.6	23.6	NUM
esrj-99036	68	39	106.5	106.5	NUM
esrj-99036	68	40	(	(	PUNCT
esrj-99036	68	41	equ	equ	PROPN
esrj-99036	68	42	)	)	PUNCT
esrj-99036	68	43	el	el	PROPN
esrj-99036	68	44	quemado	quemado	PROPN
esrj-99036	68	45	6	6	NUM
esrj-99036	68	46	25.1	25.1	NUM
esrj-99036	68	47	107.4	107.4	NUM
esrj-99036	68	48	(	(	PUNCT
esrj-99036	68	49	eva	eva	PROPN
esrj-99036	68	50	)	)	PUNCT
esrj-99036	68	51	el	el	PROPN
esrj-99036	68	52	varejonal	varejonal	ADJ
esrj-99036	68	53	7	7	NUM
esrj-99036	68	54	25.6	25.6	NUM
esrj-99036	68	55	108.5	108.5	NUM
esrj-99036	68	56	(	(	PUNCT
esrj-99036	68	57	gua	gua	NOUN
esrj-99036	68	58	)	)	PUNCT
esrj-99036	68	59	guasave	guasave	PROPN
esrj-99036	68	60	(	(	PUNCT
esrj-99036	68	61	dge	dge	PROPN
esrj-99036	68	62	)	)	PUNCT
esrj-99036	68	63	8	8	NUM
esrj-99036	68	64	25.3	25.3	NUM
esrj-99036	68	65	107.2	107.2	NUM
esrj-99036	68	66	(	(	PUNCT
esrj-99036	68	67	gut	gut	NOUN
esrj-99036	68	68	)	)	PUNCT
esrj-99036	68	69	guatenipa	guatenipa	NOUN
esrj-99036	68	70	9	9	NUM
esrj-99036	68	71	24.0	24.0	NUM
esrj-99036	68	72	106.6	106.6	NUM
esrj-99036	68	73	(	(	PUNCT
esrj-99036	68	74	ixp	ixp	NOUN
esrj-99036	68	75	)	)	PUNCT
esrj-99036	68	76	ixpalino	ixpalino	NOUN
esrj-99036	68	77	10	10	NUM
esrj-99036	68	78	25.9	25.9	NUM
esrj-99036	68	79	108.0	108.0	NUM
esrj-99036	68	80	(	(	PUNCT
esrj-99036	68	81	jai	jai	PROPN
esrj-99036	68	82	)	)	PUNCT
esrj-99036	68	83	jaina	jaina	PROPN
esrj-99036	68	84	11	11	NUM
esrj-99036	68	85	22.5	22.5	NUM
esrj-99036	68	86	105.5	105.5	NUM
esrj-99036	68	87	(	(	PUNCT
esrj-99036	68	88	lco	lco	NOUN
esrj-99036	68	89	)	)	PUNCT
esrj-99036	68	90	la	la	PROPN
esrj-99036	68	91	concha	concha	PROPN
esrj-99036	68	92	12	12	NUM
esrj-99036	68	93	23.1	23.1	NUM
esrj-99036	68	94	105.8	105.8	NUM
esrj-99036	68	95	(	(	PUNCT
esrj-99036	68	96	lto	lto	PROPN
esrj-99036	68	97	)	)	PUNCT
esrj-99036	68	98	las	las	PROPN
esrj-99036	68	99	tortugas	tortugas	PROPN
esrj-99036	68	100	13	13	NUM
esrj-99036	68	101	25.5	25.5	NUM
esrj-99036	68	102	107.9	107.9	NUM
esrj-99036	68	103	(	(	PUNCT
esrj-99036	68	104	moc	moc	NOUN
esrj-99036	68	105	)	)	PUNCT
esrj-99036	68	106	mocorito	mocorito	NOUN
esrj-99036	68	107	(	(	PUNCT
esrj-99036	68	108	dge	dge	PROPN
esrj-99036	68	109	)	)	PUNCT
esrj-99036	68	110	14	14	NUM
esrj-99036	68	111	23.0	23.0	NUM
esrj-99036	68	112	105.7	105.7	NUM
esrj-99036	68	113	(	(	PUNCT
esrj-99036	68	114	ota	ota	PROPN
esrj-99036	68	115	)	)	PUNCT
esrj-99036	68	116	otatitan	otatitan	PROPN
esrj-99036	68	117	15	15	NUM
esrj-99036	68	118	23.5	23.5	NUM
esrj-99036	68	119	105.8	105.8	NUM
esrj-99036	68	120	(	(	PUNCT
esrj-99036	68	121	pot	pot	NOUN
esrj-99036	68	122	)	)	PUNCT
esrj-99036	68	123	potrerillos	potrerillo	NOUN
esrj-99036	68	124	16	16	NUM
esrj-99036	68	125	23.0	23.0	NUM
esrj-99036	68	126	105.9	105.9	NUM
esrj-99036	68	127	(	(	PUNCT
esrj-99036	68	128	ros	ros	PROPN
esrj-99036	68	129	)	)	PUNCT
esrj-99036	68	130	rosario	rosario	PROPN
esrj-99036	68	131	17	17	NUM
esrj-99036	68	132	25.7	25.7	NUM
esrj-99036	68	133	108.0	108.0	NUM
esrj-99036	68	134	(	(	PUNCT
esrj-99036	68	135	sjo	sjo	PROPN
esrj-99036	68	136	)	)	PUNCT
esrj-99036	68	137	san	san	PROPN
esrj-99036	68	138	joaquín	joaquín	PROPN
esrj-99036	68	139	18	18	NUM
esrj-99036	68	140	24.8	24.8	NUM
esrj-99036	68	141	107.2	107.2	NUM
esrj-99036	68	142	(	(	PUNCT
esrj-99036	68	143	san	san	PROPN
esrj-99036	68	144	)	)	PUNCT
esrj-99036	68	145	sanalona	sanalona	PROPN
esrj-99036	68	146	ii	ii	PROPN
esrj-99036	68	147	19	19	NUM
esrj-99036	68	148	24.5	24.5	NUM
esrj-99036	68	149	107.0	107.0	NUM
esrj-99036	68	150	(	(	PUNCT
esrj-99036	68	151	sca	sca	PROPN
esrj-99036	68	152	)	)	PUNCT
esrj-99036	68	153	santa	santa	PROPN
esrj-99036	68	154	cruz	cruz	PROPN
esrj-99036	68	155	de	de	PROPN
esrj-99036	68	156	alaya	alaya	PROPN
esrj-99036	68	157	79calculation	79calculation	PROPN
esrj-99036	68	158	of	of	ADP
esrj-99036	68	159	indicators	indicator	NOUN
esrj-99036	68	160	of	of	ADP
esrj-99036	68	161	maximum	maximum	ADJ
esrj-99036	68	162	extreme	extreme	ADJ
esrj-99036	68	163	temperature	temperature	NOUN
esrj-99036	68	164	in	in	ADP
esrj-99036	68	165	sinaloa	sinaloa	PROPN
esrj-99036	68	166	state	state	PROPN
esrj-99036	68	167	,	,	PUNCT
esrj-99036	68	168	northwestern	northwestern	PROPN
esrj-99036	68	169	mexico	mexico	PROPN
esrj-99036	68	170	he	he	PROPN
esrj-99036	68	171	indicators	indicator	NOUN
esrj-99036	68	172	and	and	CCONJ
esrj-99036	68	173	mmt	mmt	NOUN
esrj-99036	68	174	to	to	PART
esrj-99036	68	175	obtain	obtain	VERB
esrj-99036	68	176	some	some	PRON
esrj-99036	68	177	of	of	ADP
esrj-99036	68	178	the	the	DET
esrj-99036	68	179	most	most	ADV
esrj-99036	68	180	important	important	ADJ
esrj-99036	68	181	variables	variable	NOUN
esrj-99036	68	182	used	use	VERB
esrj-99036	68	183	worldwide	worldwide	ADV
esrj-99036	68	184	to	to	PART
esrj-99036	68	185	characterize	characterize	VERB
esrj-99036	68	186	extreme	extreme	ADJ
esrj-99036	68	187	weather	weather	NOUN
esrj-99036	68	188	,	,	PUNCT
esrj-99036	68	189	the	the	DET
esrj-99036	68	190	following	follow	VERB
esrj-99036	68	191	he	he	PRON
esrj-99036	68	192	indicators	indicator	NOUN
esrj-99036	68	193	were	be	AUX
esrj-99036	68	194	calculated	calculate	VERB
esrj-99036	68	195	following	follow	VERB
esrj-99036	68	196	li	li	PROPN
esrj-99036	68	197	’s	’s	PART
esrj-99036	68	198	method	method	NOUN
esrj-99036	68	199	(	(	PUNCT
esrj-99036	68	200	li	li	PROPN
esrj-99036	68	201	et	et	PROPN
esrj-99036	68	202	al	al	PROPN
esrj-99036	68	203	.	.	PROPN
esrj-99036	68	204	,	,	PUNCT
esrj-99036	68	205	2018	2018	NUM
esrj-99036	68	206	):	):	PUNCT
esrj-99036	68	207	fr	fr	PROPN
esrj-99036	68	208	,	,	PUNCT
esrj-99036	68	209	aad	aad	INTJ
esrj-99036	68	210	,	,	PUNCT
esrj-99036	68	211	add	add	VERB
esrj-99036	68	212	and	and	CCONJ
esrj-99036	68	213	in	in	ADV
esrj-99036	68	214	.	.	PUNCT
esrj-99036	69	1	these	these	DET
esrj-99036	69	2	authors	author	NOUN
esrj-99036	69	3	define	define	VERB
esrj-99036	69	4	a	a	DET
esrj-99036	69	5	he	he	PRON
esrj-99036	69	6	event	event	NOUN
esrj-99036	69	7	as	as	ADP
esrj-99036	69	8	occurring	occur	VERB
esrj-99036	69	9	when	when	SCONJ
esrj-99036	69	10	the	the	DET
esrj-99036	69	11	value	value	NOUN
esrj-99036	69	12	of	of	ADP
esrj-99036	69	13	daily	daily	ADJ
esrj-99036	69	14	maximum	maximum	ADJ
esrj-99036	69	15	temperature	temperature	NOUN
esrj-99036	69	16	exceeds	exceed	VERB
esrj-99036	69	17	the	the	DET
esrj-99036	69	18	85th	85th	ADJ
esrj-99036	69	19	and	and	CCONJ
esrj-99036	69	20	90th	90th	ADJ
esrj-99036	69	21	percentiles	percentile	NOUN
esrj-99036	69	22	(	(	PUNCT
esrj-99036	69	23	p85	p85	NOUN
esrj-99036	69	24	and	and	CCONJ
esrj-99036	69	25	p90	p90	NOUN
esrj-99036	69	26	,	,	PUNCT
esrj-99036	69	27	respectively	respectively	ADV
esrj-99036	69	28	)	)	PUNCT
esrj-99036	69	29	for	for	ADP
esrj-99036	69	30	three	three	NUM
esrj-99036	69	31	consecutive	consecutive	ADJ
esrj-99036	69	32	days	day	NOUN
esrj-99036	69	33	(	(	PUNCT
esrj-99036	69	34	stefanon	stefanon	NOUN
esrj-99036	69	35	et	et	PROPN
esrj-99036	69	36	al	al	PROPN
esrj-99036	69	37	.	.	PROPN
esrj-99036	69	38	,	,	PUNCT
esrj-99036	69	39	2012	2012	NUM
esrj-99036	69	40	,	,	PUNCT
esrj-99036	69	41	zschenderlein	zschenderlein	PROPN
esrj-99036	69	42	et	et	PROPN
esrj-99036	69	43	al	al	PROPN
esrj-99036	69	44	.	.	PROPN
esrj-99036	69	45	,	,	PUNCT
esrj-99036	69	46	2019	2019	NUM
esrj-99036	69	47	and	and	CCONJ
esrj-99036	69	48	llanes	llanes	PROPN
esrj-99036	69	49	et	et	PROPN
esrj-99036	69	50	al	al	PROPN
esrj-99036	69	51	.	.	PROPN
esrj-99036	69	52	,	,	PUNCT
esrj-99036	69	53	2022a	2022a	NUM
esrj-99036	69	54	)	)	PUNCT
esrj-99036	69	55	.	.	PUNCT
esrj-99036	70	1	the	the	DET
esrj-99036	70	2	values	value	NOUN
esrj-99036	70	3	of	of	ADP
esrj-99036	70	4	mmt	mmt	PROPN
esrj-99036	70	5	were	be	AUX
esrj-99036	70	6	obtained	obtain	VERB
esrj-99036	70	7	according	accord	VERB
esrj-99036	70	8	to	to	ADP
esrj-99036	70	9	ruiz	ruiz	NOUN
esrj-99036	70	10	et	et	PROPN
esrj-99036	70	11	al	al	PROPN
esrj-99036	70	12	.	.	PROPN
esrj-99036	71	1	(	(	PUNCT
esrj-99036	71	2	2005	2005	NUM
esrj-99036	71	3	)	)	PUNCT
esrj-99036	71	4	,	,	PUNCT
esrj-99036	71	5	who	who	PRON
esrj-99036	71	6	defined	define	VERB
esrj-99036	71	7	these	these	DET
esrj-99036	71	8	variables	variable	NOUN
esrj-99036	71	9	as	as	ADP
esrj-99036	71	10	the	the	DET
esrj-99036	71	11	maximum	maximum	ADJ
esrj-99036	71	12	monthly	monthly	ADJ
esrj-99036	71	13	value	value	NOUN
esrj-99036	71	14	in	in	ADP
esrj-99036	71	15	a	a	DET
esrj-99036	71	16	series	series	NOUN
esrj-99036	71	17	of	of	ADP
esrj-99036	71	18	maximum	maximum	ADJ
esrj-99036	71	19	daily	daily	ADJ
esrj-99036	71	20	temperatures	temperature	NOUN
esrj-99036	71	21	.	.	PUNCT
esrj-99036	72	1	to	to	PART
esrj-99036	72	2	calculate	calculate	VERB
esrj-99036	72	3	the	the	DET
esrj-99036	72	4	he	he	PROPN
esrj-99036	72	5	indicators	indicator	NOUN
esrj-99036	72	6	and	and	CCONJ
esrj-99036	72	7	mmt	mmt	PROPN
esrj-99036	72	8	,	,	PUNCT
esrj-99036	72	9	the	the	DET
esrj-99036	72	10	xlstat	xlstat	PROPN
esrj-99036	72	11	version	version	PROPN
esrj-99036	72	12	2014	2014	NUM
esrj-99036	72	13	program	program	NOUN
esrj-99036	72	14	was	be	AUX
esrj-99036	72	15	used	use	VERB
esrj-99036	72	16	.	.	PUNCT
esrj-99036	73	1	the	the	DET
esrj-99036	73	2	authors	author	NOUN
esrj-99036	73	3	used	use	VERB
esrj-99036	73	4	the	the	DET
esrj-99036	73	5	data	datum	NOUN
esrj-99036	73	6	of	of	ADP
esrj-99036	73	7	the	the	DET
esrj-99036	73	8	he	he	PROPN
esrj-99036	73	9	indicators	indicator	NOUN
esrj-99036	73	10	fr	fr	ADV
esrj-99036	73	11	,	,	PUNCT
esrj-99036	73	12	aad	aad	INTJ
esrj-99036	73	13	,	,	PUNCT
esrj-99036	73	14	add	add	VERB
esrj-99036	73	15	and	and	CCONJ
esrj-99036	73	16	in	in	ADV
esrj-99036	73	17	,	,	PUNCT
esrj-99036	73	18	previously	previously	ADV
esrj-99036	73	19	calculated	calculate	VERB
esrj-99036	73	20	by	by	ADP
esrj-99036	73	21	llanes	llanes	PROPN
esrj-99036	73	22	et	et	PROPN
esrj-99036	73	23	al	al	PROPN
esrj-99036	73	24	.	.	PROPN
esrj-99036	73	25	(	(	PUNCT
esrj-99036	73	26	2022a	2022a	NUM
esrj-99036	73	27	)	)	PUNCT
esrj-99036	73	28	.	.	PUNCT
esrj-99036	74	1	st	st	PROPN
esrj-99036	75	1	of	of	ADP
esrj-99036	75	2	met	meet	VERB
esrj-99036	75	3	indicators	indicator	NOUN
esrj-99036	75	4	in	in	ADP
esrj-99036	75	5	order	order	NOUN
esrj-99036	75	6	to	to	PART
esrj-99036	75	7	determine	determine	VERB
esrj-99036	75	8	whether	whether	SCONJ
esrj-99036	75	9	local	local	ADJ
esrj-99036	75	10	climate	climate	NOUN
esrj-99036	75	11	trends	trend	NOUN
esrj-99036	75	12	are	be	AUX
esrj-99036	75	13	cooling	cool	VERB
esrj-99036	75	14	or	or	CCONJ
esrj-99036	75	15	warming	warming	NOUN
esrj-99036	75	16	,	,	PUNCT
esrj-99036	75	17	the	the	DET
esrj-99036	75	18	sts	st	NOUN
esrj-99036	75	19	of	of	ADP
esrj-99036	75	20	the	the	DET
esrj-99036	75	21	annual	annual	ADJ
esrj-99036	75	22	average	average	ADJ
esrj-99036	75	23	values	value	NOUN
esrj-99036	75	24	of	of	ADP
esrj-99036	75	25	fr	fr	NOUN
esrj-99036	75	26	,	,	PUNCT
esrj-99036	75	27	aad	aad	INTJ
esrj-99036	75	28	,	,	PUNCT
esrj-99036	75	29	add	add	VERB
esrj-99036	75	30	,	,	PUNCT
esrj-99036	75	31	in	in	ADV
esrj-99036	75	32	and	and	CCONJ
esrj-99036	75	33	mmt	mmt	PROPN
esrj-99036	75	34	were	be	AUX
esrj-99036	75	35	calculated	calculate	VERB
esrj-99036	75	36	.	.	PUNCT
esrj-99036	76	1	the	the	DET
esrj-99036	76	2	mann	mann	PROPN
esrj-99036	76	3	-	-	PUNCT
esrj-99036	76	4	kendall	kendall	PROPN
esrj-99036	76	5	test	test	NOUN
esrj-99036	76	6	for	for	ADP
esrj-99036	76	7	trend	trend	NOUN
esrj-99036	76	8	analysis	analysis	NOUN
esrj-99036	76	9	(	(	PUNCT
esrj-99036	76	10	mann	mann	PROPN
esrj-99036	76	11	,	,	PUNCT
esrj-99036	76	12	1945	1945	NUM
esrj-99036	76	13	;	;	PUNCT
esrj-99036	76	14	kendall	kendall	PROPN
esrj-99036	76	15	,	,	PUNCT
esrj-99036	76	16	1975	1975	NUM
esrj-99036	76	17	,	,	PUNCT
esrj-99036	76	18	table	table	NOUN
esrj-99036	76	19	2	2	NUM
esrj-99036	76	20	)	)	PUNCT
esrj-99036	76	21	and	and	CCONJ
esrj-99036	76	22	sen	sen	PROPN
esrj-99036	76	23	’s	’s	PROPN
esrj-99036	76	24	slope	slope	PROPN
esrj-99036	76	25	test	test	NOUN
esrj-99036	76	26	(	(	PUNCT
esrj-99036	76	27	sen	sen	PROPN
esrj-99036	76	28	1968	1968	NUM
esrj-99036	76	29	)	)	PUNCT
esrj-99036	76	30	for	for	ADP
esrj-99036	76	31	magnitude	magnitude	NOUN
esrj-99036	76	32	of	of	ADP
esrj-99036	76	33	trend	trend	NOUN
esrj-99036	76	34	(	(	PUNCT
esrj-99036	76	35	figure	figure	NOUN
esrj-99036	76	36	3	3	NUM
esrj-99036	76	37	)	)	PUNCT
esrj-99036	76	38	were	be	AUX
esrj-99036	76	39	applied	apply	VERB
esrj-99036	76	40	.	.	PUNCT
esrj-99036	77	1	to	to	PART
esrj-99036	77	2	identify	identify	VERB
esrj-99036	77	3	the	the	DET
esrj-99036	77	4	presence	presence	NOUN
esrj-99036	77	5	of	of	ADP
esrj-99036	77	6	sts	st	NOUN
esrj-99036	77	7	of	of	ADP
esrj-99036	77	8	met	meet	VERB
esrj-99036	77	9	indicators	indicator	NOUN
esrj-99036	77	10	,	,	PUNCT
esrj-99036	77	11	an	an	DET
esrj-99036	77	12	absolute	absolute	ADJ
esrj-99036	77	13	statistical	statistical	ADJ
esrj-99036	77	14	threshold	threshold	NOUN
esrj-99036	77	15	based	base	VERB
esrj-99036	77	16	on	on	ADP
esrj-99036	77	17	the	the	DET
esrj-99036	77	18	standard	standard	ADJ
esrj-99036	77	19	normal	normal	ADJ
esrj-99036	77	20	distribution	distribution	NOUN
esrj-99036	77	21	(	(	PUNCT
esrj-99036	77	22	zstd	zstd	NOUN
esrj-99036	77	23	)	)	PUNCT
esrj-99036	77	24	=	=	SYM
esrj-99036	77	25	|1.96|	|1.96|	PROPN
esrj-99036	77	26	was	be	AUX
esrj-99036	77	27	set	set	VERB
esrj-99036	77	28	with	with	ADP
esrj-99036	77	29	significance	significance	NOUN
esrj-99036	77	30	level	level	NOUN
esrj-99036	77	31	α	α	NOUN
esrj-99036	77	32	=	=	NOUN
esrj-99036	77	33	0.05	0.05	NUM
esrj-99036	77	34	(	(	PUNCT
esrj-99036	77	35	ghasemi	ghasemi	NOUN
esrj-99036	77	36	,	,	PUNCT
esrj-99036	77	37	2015	2015	NUM
esrj-99036	77	38	)	)	PUNCT
esrj-99036	77	39	.	.	PUNCT
esrj-99036	78	1	for	for	ADP
esrj-99036	78	2	a	a	DET
esrj-99036	78	3	better	well	ADJ
esrj-99036	78	4	interpretation	interpretation	NOUN
esrj-99036	78	5	of	of	ADP
esrj-99036	78	6	the	the	DET
esrj-99036	78	7	st	st	PROPN
esrj-99036	78	8	variation	variation	PROPN
esrj-99036	78	9	data	datum	NOUN
esrj-99036	78	10	,	,	PUNCT
esrj-99036	78	11	the	the	DET
esrj-99036	78	12	results	result	NOUN
esrj-99036	78	13	were	be	AUX
esrj-99036	78	14	multiplied	multiply	VERB
esrj-99036	78	15	by	by	ADP
esrj-99036	78	16	ten	ten	NUM
esrj-99036	78	17	;	;	PUNCT
esrj-99036	78	18	i.e.	i.e.	X
esrj-99036	78	19	,	,	PUNCT
esrj-99036	78	20	the	the	DET
esrj-99036	78	21	time	time	NOUN
esrj-99036	78	22	scales	scale	NOUN
esrj-99036	78	23	used	use	VERB
esrj-99036	78	24	and	and	CCONJ
esrj-99036	78	25	interpreted	interpret	VERB
esrj-99036	78	26	in	in	ADP
esrj-99036	78	27	this	this	DET
esrj-99036	78	28	study	study	NOUN
esrj-99036	78	29	were	be	AUX
esrj-99036	78	30	decadal	decadal	NOUN
esrj-99036	78	31	.	.	PUNCT
esrj-99036	79	1	since	since	SCONJ
esrj-99036	79	2	single	single	ADJ
esrj-99036	79	3	-	-	PUNCT
esrj-99036	79	4	year	year	NOUN
esrj-99036	79	5	changes	change	NOUN
esrj-99036	79	6	st	st	PROPN
esrj-99036	79	7	may	may	AUX
esrj-99036	79	8	be	be	AUX
esrj-99036	79	9	small	small	ADJ
esrj-99036	79	10	,	,	PUNCT
esrj-99036	79	11	decadal	decadal	NOUN
esrj-99036	79	12	trends	trend	NOUN
esrj-99036	79	13	were	be	AUX
esrj-99036	79	14	chosen	choose	VERB
esrj-99036	79	15	to	to	PART
esrj-99036	79	16	make	make	VERB
esrj-99036	79	17	the	the	DET
esrj-99036	79	18	trends	trend	NOUN
esrj-99036	79	19	clearer	clear	ADJ
esrj-99036	79	20	(	(	PUNCT
esrj-99036	79	21	rojas	rojas	PROPN
esrj-99036	79	22	et	et	PROPN
esrj-99036	79	23	al	al	PROPN
esrj-99036	79	24	.	.	PROPN
esrj-99036	79	25	,	,	PUNCT
esrj-99036	79	26	2010	2010	NUM
esrj-99036	79	27	)	)	PUNCT
esrj-99036	79	28	.	.	PUNCT
esrj-99036	80	1	to	to	PART
esrj-99036	80	2	calculate	calculate	VERB
esrj-99036	80	3	the	the	DET
esrj-99036	80	4	sts	st	NOUN
esrj-99036	80	5	of	of	ADP
esrj-99036	80	6	the	the	DET
esrj-99036	80	7	met	meet	VERB
esrj-99036	80	8	indicators	indicator	NOUN
esrj-99036	80	9	(	(	PUNCT
esrj-99036	80	10	mann	mann	PROPN
esrj-99036	80	11	–	–	PUNCT
esrj-99036	80	12	kendall	kendall	PROPN
esrj-99036	80	13	and	and	CCONJ
esrj-99036	80	14	sen	sen	PROPN
esrj-99036	80	15	’s	’s	PART
esrj-99036	80	16	slope	slope	NOUN
esrj-99036	80	17	tests	test	NOUN
esrj-99036	80	18	)	)	PUNCT
esrj-99036	80	19	,	,	PUNCT
esrj-99036	80	20	past	past	ADP
esrj-99036	80	21	version	version	NOUN
esrj-99036	80	22	3.25	3.25	NUM
esrj-99036	80	23	and	and	CCONJ
esrj-99036	80	24	xlstat	xlstat	PROPN
esrj-99036	80	25	version	version	PROPN
esrj-99036	80	26	2014	2014	NUM
esrj-99036	80	27	were	be	AUX
esrj-99036	80	28	used	use	VERB
esrj-99036	80	29	.	.	PUNCT
esrj-99036	81	1	statistical	statistical	ADJ
esrj-99036	81	2	analysis	analysis	NOUN
esrj-99036	81	3	of	of	ADP
esrj-99036	81	4	the	the	DET
esrj-99036	81	5	fitted	fit	VERB
esrj-99036	81	6	probability	probability	NOUN
esrj-99036	81	7	distribution	distribution	NOUN
esrj-99036	81	8	functions	function	NOUN
esrj-99036	81	9	to	to	PART
esrj-99036	81	10	obtain	obtain	VERB
esrj-99036	81	11	the	the	DET
esrj-99036	81	12	fitted	fit	VERB
esrj-99036	81	13	probability	probability	NOUN
esrj-99036	81	14	distribution	distribution	NOUN
esrj-99036	81	15	functions	function	NOUN
esrj-99036	81	16	of	of	ADP
esrj-99036	81	17	he	he	PRON
esrj-99036	81	18	indicators	indicator	NOUN
esrj-99036	81	19	and	and	CCONJ
esrj-99036	81	20	mmt	mmt	NOUN
esrj-99036	81	21	,	,	PUNCT
esrj-99036	81	22	in	in	ADP
esrj-99036	81	23	this	this	DET
esrj-99036	81	24	study	study	NOUN
esrj-99036	81	25	the	the	DET
esrj-99036	81	26	maximum	maximum	ADJ
esrj-99036	81	27	likelihood	likelihood	NOUN
esrj-99036	81	28	estimation	estimation	NOUN
esrj-99036	81	29	method	method	NOUN
esrj-99036	81	30	was	be	AUX
esrj-99036	81	31	used	use	VERB
esrj-99036	81	32	.	.	PUNCT
esrj-99036	82	1	this	this	DET
esrj-99036	82	2	mathematical	mathematical	ADJ
esrj-99036	82	3	method	method	NOUN
esrj-99036	82	4	was	be	AUX
esrj-99036	82	5	applied	apply	VERB
esrj-99036	82	6	due	due	ADP
esrj-99036	82	7	to	to	ADP
esrj-99036	82	8	its	its	PRON
esrj-99036	82	9	adaptability	adaptability	NOUN
esrj-99036	82	10	to	to	ADP
esrj-99036	82	11	the	the	DET
esrj-99036	82	12	different	different	ADJ
esrj-99036	82	13	he	he	NOUN
esrj-99036	82	14	indicators	indicator	NOUN
esrj-99036	82	15	and	and	CCONJ
esrj-99036	82	16	its	its	PRON
esrj-99036	82	17	precision	precision	NOUN
esrj-99036	82	18	in	in	ADP
esrj-99036	82	19	the	the	DET
esrj-99036	82	20	estimation	estimation	NOUN
esrj-99036	82	21	of	of	ADP
esrj-99036	82	22	large	large	ADJ
esrj-99036	82	23	samples	sample	NOUN
esrj-99036	82	24	(	(	PUNCT
esrj-99036	82	25	data	datum	NOUN
esrj-99036	82	26	series	series	NOUN
esrj-99036	82	27	for	for	ADP
esrj-99036	82	28	the	the	DET
esrj-99036	82	29	period	period	NOUN
esrj-99036	82	30	1982–2014	1982–2014	NUM
esrj-99036	82	31	;	;	PUNCT
esrj-99036	82	32	gómez	gómez	NOUN
esrj-99036	82	33	,	,	PUNCT
esrj-99036	82	34	2020	2020	NUM
esrj-99036	82	35	)	)	PUNCT
esrj-99036	82	36	.	.	PUNCT
esrj-99036	83	1	the	the	DET
esrj-99036	83	2	p	p	NOUN
esrj-99036	83	3	-	-	PUNCT
esrj-99036	83	4	values	value	NOUN
esrj-99036	83	5	of	of	ADP
esrj-99036	83	6	16	16	NUM
esrj-99036	83	7	probability	probability	NOUN
esrj-99036	83	8	distribution	distribution	NOUN
esrj-99036	83	9	functions	function	NOUN
esrj-99036	83	10	were	be	AUX
esrj-99036	83	11	calculated	calculate	VERB
esrj-99036	83	12	for	for	ADP
esrj-99036	83	13	the	the	DET
esrj-99036	83	14	annual	annual	ADJ
esrj-99036	83	15	average	average	ADJ
esrj-99036	83	16	values	value	NOUN
esrj-99036	83	17	of	of	ADP
esrj-99036	83	18	each	each	PRON
esrj-99036	83	19	met	meet	VERB
esrj-99036	83	20	indicator	indicator	NOUN
esrj-99036	83	21	.	.	PUNCT
esrj-99036	84	1	this	this	DET
esrj-99036	84	2	statistical	statistical	ADJ
esrj-99036	84	3	method	method	NOUN
esrj-99036	84	4	was	be	AUX
esrj-99036	84	5	used	use	VERB
esrj-99036	84	6	because	because	SCONJ
esrj-99036	84	7	is	be	AUX
esrj-99036	84	8	considered	consider	VERB
esrj-99036	84	9	one	one	NUM
esrj-99036	84	10	of	of	ADP
esrj-99036	84	11	the	the	DET
esrj-99036	84	12	most	most	ADV
esrj-99036	84	13	consistent	consistent	ADJ
esrj-99036	84	14	,	,	PUNCT
esrj-99036	84	15	sufficient	sufficient	ADJ
esrj-99036	84	16	and	and	CCONJ
esrj-99036	84	17	asymptotically	asymptotically	ADV
esrj-99036	84	18	unbiased	unbiased	ADJ
esrj-99036	84	19	ways	way	NOUN
esrj-99036	84	20	to	to	PART
esrj-99036	84	21	identify	identify	VERB
esrj-99036	84	22	the	the	DET
esrj-99036	84	23	weather	weather	NOUN
esrj-99036	84	24	parameters	parameter	NOUN
esrj-99036	84	25	of	of	ADP
esrj-99036	84	26	the	the	DET
esrj-99036	84	27	fitted	fit	VERB
esrj-99036	84	28	probability	probability	NOUN
esrj-99036	84	29	distribution	distribution	NOUN
esrj-99036	84	30	functions	function	NOUN
esrj-99036	84	31	(	(	PUNCT
esrj-99036	84	32	strupczewski	strupczewski	PROPN
esrj-99036	84	33	et	et	PROPN
esrj-99036	84	34	al	al	PROPN
esrj-99036	84	35	.	.	PROPN
esrj-99036	84	36	,	,	PUNCT
esrj-99036	84	37	2001	2001	NUM
esrj-99036	84	38	)	)	PUNCT
esrj-99036	84	39	.	.	PUNCT
esrj-99036	85	1	in	in	ADP
esrj-99036	85	2	addition	addition	NOUN
esrj-99036	85	3	to	to	ADP
esrj-99036	85	4	being	be	AUX
esrj-99036	85	5	more	more	ADV
esrj-99036	85	6	complex	complex	ADJ
esrj-99036	85	7	than	than	ADP
esrj-99036	85	8	the	the	DET
esrj-99036	85	9	method	method	NOUN
esrj-99036	85	10	of	of	ADP
esrj-99036	85	11	moments	moment	NOUN
esrj-99036	85	12	,	,	PUNCT
esrj-99036	85	13	it	it	PRON
esrj-99036	85	14	allows	allow	VERB
esrj-99036	85	15	for	for	ADP
esrj-99036	85	16	greater	great	ADJ
esrj-99036	85	17	rigor	rigor	NOUN
esrj-99036	85	18	for	for	ADP
esrj-99036	85	19	all	all	DET
esrj-99036	85	20	distributions	distribution	NOUN
esrj-99036	85	21	(	(	PUNCT
esrj-99036	85	22	xlstat	xlstat	ADJ
esrj-99036	85	23	,	,	PUNCT
esrj-99036	85	24	2022	2022	NUM
esrj-99036	85	25	)	)	PUNCT
esrj-99036	85	26	,	,	PUNCT
esrj-99036	85	27	and	and	CCONJ
esrj-99036	85	28	a	a	DET
esrj-99036	85	29	greater	great	ADJ
esrj-99036	85	30	reliability	reliability	NOUN
esrj-99036	85	31	of	of	ADP
esrj-99036	85	32	fit	fit	NOUN
esrj-99036	85	33	for	for	ADP
esrj-99036	85	34	each	each	DET
esrj-99036	85	35	indicator	indicator	NOUN
esrj-99036	85	36	of	of	ADP
esrj-99036	85	37	he	he	PRON
esrj-99036	85	38	and	and	CCONJ
esrj-99036	85	39	mmt	mmt	PROPN
esrj-99036	85	40	.	.	PUNCT
esrj-99036	86	1	in	in	ADP
esrj-99036	86	2	this	this	DET
esrj-99036	86	3	study	study	NOUN
esrj-99036	86	4	,	,	PUNCT
esrj-99036	86	5	the	the	DET
esrj-99036	86	6	fitted	fit	VERB
esrj-99036	86	7	probability	probability	NOUN
esrj-99036	86	8	distribution	distribution	NOUN
esrj-99036	86	9	functions	function	NOUN
esrj-99036	86	10	used	use	VERB
esrj-99036	86	11	were	be	AUX
esrj-99036	86	12	logarithmic	logarithmic	ADJ
esrj-99036	86	13	(	(	PUNCT
esrj-99036	86	14	log	log	NOUN
esrj-99036	86	15	)	)	PUNCT
esrj-99036	86	16	,	,	PUNCT
esrj-99036	86	17	log	log	NOUN
esrj-99036	86	18	-	-	PUNCT
esrj-99036	86	19	normal	normal	ADJ
esrj-99036	86	20	(	(	PUNCT
esrj-99036	86	21	lognormal	lognormal	ADJ
esrj-99036	86	22	)	)	PUNCT
esrj-99036	86	23	,	,	PUNCT
esrj-99036	86	24	and	and	CCONJ
esrj-99036	86	25	generalized	generalized	ADJ
esrj-99036	86	26	extreme	extreme	ADJ
esrj-99036	86	27	values	value	NOUN
esrj-99036	86	28	(	(	PUNCT
esrj-99036	86	29	gev	gev	NOUN
esrj-99036	86	30	)	)	PUNCT
esrj-99036	86	31	(	(	PUNCT
esrj-99036	86	32	chow	chow	NOUN
esrj-99036	86	33	et	et	PROPN
esrj-99036	86	34	al	al	PROPN
esrj-99036	86	35	.	.	PROPN
esrj-99036	86	36	,	,	PUNCT
esrj-99036	86	37	1994	1994	NUM
esrj-99036	86	38	;	;	PUNCT
esrj-99036	86	39	campos	campos	PROPN
esrj-99036	86	40	,	,	PUNCT
esrj-99036	86	41	2016	2016	NUM
esrj-99036	86	42	)	)	PUNCT
esrj-99036	86	43	.	.	PUNCT
esrj-99036	87	1	log	log	NOUN
esrj-99036	87	2	,	,	PUNCT
esrj-99036	87	3	lognormal	lognormal	ADJ
esrj-99036	87	4	and	and	CCONJ
esrj-99036	87	5	gev	gev	NOUN
esrj-99036	87	6	functions	function	NOUN
esrj-99036	87	7	are	be	AUX
esrj-99036	87	8	shown	show	VERB
esrj-99036	87	9	in	in	ADP
esrj-99036	87	10	equations	equation	NOUN
esrj-99036	87	11	1	1	NUM
esrj-99036	87	12	,	,	PUNCT
esrj-99036	87	13	2	2	NUM
esrj-99036	87	14	and	and	CCONJ
esrj-99036	87	15	3	3	NUM
esrj-99036	87	16	,	,	PUNCT
esrj-99036	87	17	respectively	respectively	ADV
esrj-99036	87	18	.	.	PUNCT
esrj-99036	88	1	these	these	DET
esrj-99036	88	2	calculations	calculation	NOUN
esrj-99036	88	3	were	be	AUX
esrj-99036	88	4	carried	carry	VERB
esrj-99036	88	5	out	out	ADP
esrj-99036	88	6	using	use	VERB
esrj-99036	88	7	xlstat	xlstat	PROPN
esrj-99036	88	8	version	version	PROPN
esrj-99036	88	9	2014	2014	NUM
esrj-99036	88	10	.	.	PUNCT
esrj-99036	89	1	f	f	X
esrj-99036	89	2	x	x	PUNCT
esrj-99036	89	3	x	x	X
esrj-99036	89	4	,	,	PUNCT
esrj-99036	89	5	,	,	PUNCT
esrj-99036	89	6	(	(	PUNCT
esrj-99036	89	7	)	)	PUNCT
esrj-99036	89	8	�	�	PROPN
esrj-99036	89	9	�	�	PROPN
esrj-99036	89	10	�	�	PROPN
esrj-99036	89	11	�	�	PROPN
esrj-99036	89	12	�	�	PROPN
esrj-99036	89	13	�	�	PROPN
esrj-99036	89	14	�	�	PROPN
esrj-99036	89	15	�	�	PROPN
esrj-99036	89	16	�	�	PROPN
esrj-99036	89	17	�	�	PROPN
esrj-99036	89	18	�	�	PROPN
esrj-99036	89	19	�	�	PROPN
esrj-99036	89	20	�	�	PROPN
esrj-99036	89	21	�	�	PROPN
esrj-99036	89	22	�	�	PROPN
esrj-99036	89	23	�	�	PROPN
esrj-99036	89	24	�	�	PROPN
esrj-99036	89	25	�	�	PROPN
esrj-99036	89	26	1	1	NUM
esrj-99036	89	27	1+e	1+e	NUM
esrj-99036	89	28	/	/	SYM
esrj-99036	89	29	(	(	PUNCT
esrj-99036	89	30	1	1	NUM
esrj-99036	89	31	)	)	PUNCT
esrj-99036	89	32	f	f	NOUN
esrj-99036	90	1	x	x	X
esrj-99036	90	2	k	k	NOUN
esrj-99036	90	3	x	x	SYM
esrj-99036	90	4	k	k	X
esrj-99036	90	5	,	,	PUNCT
esrj-99036	90	6	,	,	PUNCT
esrj-99036	90	7	,	,	PUNCT
esrj-99036	90	8	exp	exp	PROPN
esrj-99036	90	9	�	�	PROPN
esrj-99036	90	10	�	�	PROPN
esrj-99036	90	11	�	�	PROPN
esrj-99036	90	12	�	�	PROPN
esrj-99036	90	13	�	�	PROPN
esrj-99036	90	14	�	�	PROPN
esrj-99036	90	15	�	�	PROPN
esrj-99036	90	16	�	�	PROPN
esrj-99036	90	17	�	�	PROPN
esrj-99036	90	18	�	�	PROPN
esrj-99036	90	19	�	�	PROPN
esrj-99036	90	20	�	�	PROPN
esrj-99036	90	21	�	�	PROPN
esrj-99036	90	22	�	�	PROPN
esrj-99036	90	23	�	�	PROPN
esrj-99036	90	24	�	�	PROPN
esrj-99036	90	25	�	�	PROPN
esrj-99036	90	26	�	�	PROPN
esrj-99036	90	27	�	�	PROPN
esrj-99036	90	28	�	�	PROPN
esrj-99036	90	29	�	�	PROPN
esrj-99036	90	30	�	�	PROPN
esrj-99036	90	31	�	�	PROPN
esrj-99036	90	32	�	�	PROPN
esrj-99036	90	33	�	�	PROPN
esrj-99036	90	34	�	�	PROPN
esrj-99036	90	35	�	�	PROPN
esrj-99036	90	36	�	�	PROPN
esrj-99036	90	37	�	�	PROPN
esrj-99036	90	38	�	�	PROPN
esrj-99036	90	39	�	�	PROPN
esrj-99036	90	40	�	�	PROPN
esrj-99036	90	41	�	�	PROPN
esrj-99036	90	42	�	�	PROPN
esrj-99036	90	43	�	�	PROPN
esrj-99036	90	44	�	�	PROPN
esrj-99036	90	45	�	�	PROPN
esrj-99036	90	46	�	�	PROPN
esrj-99036	90	47	�	�	PROPN
esrj-99036	90	48	�	�	PROPN
esrj-99036	90	49	�	�	PROPN
esrj-99036	90	50	�	�	PROPN
esrj-99036	90	51	�	�	PROPN
esrj-99036	90	52	�	�	PROPN
esrj-99036	90	53	�	�	PROPN
esrj-99036	90	54	�	�	PROPN
esrj-99036	90	55	�	�	PROPN
esrj-99036	90	56	�	�	PROPN
esrj-99036	90	57	�	�	PROPN
esrj-99036	90	58	�	�	PROPN
esrj-99036	90	59	�	�	PROPN
esrj-99036	90	60	�	�	PROPN
esrj-99036	90	61	�	�	PROPN
esrj-99036	90	62	�	�	PROPN
esrj-99036	90	63	�	�	PROPN
esrj-99036	90	64	�	�	PROPN
esrj-99036	90	65	�	�	PROPN
esrj-99036	90	66	�	�	PROPN
esrj-99036	90	67	�	�	PROPN
esrj-99036	90	68	�	�	PROPN
esrj-99036	90	69	�	�	PROPN
esrj-99036	90	70	�	�	PROPN
esrj-99036	90	71	�	�	PROPN
esrj-99036	90	72	�	�	PROPN
esrj-99036	90	73	�	�	PROPN
esrj-99036	90	74	�	�	PROPN
esrj-99036	90	75	�	�	PROPN
esrj-99036	90	76	�	�	PROPN
esrj-99036	90	77	�	�	PROPN
esrj-99036	90	78	�	�	PROPN
esrj-99036	90	79	�	�	PROPN
esrj-99036	90	80	�	�	PROPN
esrj-99036	90	81	1	1	NUM
esrj-99036	90	82	1	1	NUM
esrj-99036	90	83	+	+	NOUN
esrj-99036	90	84	k	k	X
esrj-99036	90	85	(	(	PUNCT
esrj-99036	90	86	2	2	NUM
esrj-99036	90	87	)	)	PUNCT
esrj-99036	90	88	f	f	NOUN
esrj-99036	90	89	x	x	SYM
esrj-99036	90	90	erf	erf	NOUN
esrj-99036	90	91	x	x	SYM
esrj-99036	90	92	,	,	PUNCT
esrj-99036	90	93	,	,	PUNCT
esrj-99036	90	94	ln	ln	PROPN
esrj-99036	90	95	�	�	PROPN
esrj-99036	90	96	�	�	PROPN
esrj-99036	90	97	�	�	PROPN
esrj-99036	90	98	�	�	PROPN
esrj-99036	90	99	�	�	PROPN
esrj-99036	90	100	�	�	PROPN
esrj-99036	90	101	�	�	PROPN
esrj-99036	90	102	�	�	PROPN
esrj-99036	90	103	�	�	PROPN
esrj-99036	90	104	�	�	PROPN
esrj-99036	90	105	�	�	PROPN
esrj-99036	90	106	�	�	PROPN
esrj-99036	90	107	�	�	PROPN
esrj-99036	90	108	�	�	PROPN
esrj-99036	90	109	�	�	PROPN
esrj-99036	90	110	�	�	PROPN
esrj-99036	90	111	�	�	PROPN
esrj-99036	90	112	�	�	PROPN
esrj-99036	90	113	�	�	PROPN
esrj-99036	90	114	�	�	PROPN
esrj-99036	90	115	�	�	PROPN
esrj-99036	90	116	�	�	PROPN
esrj-99036	90	117	�	�	PROPN
esrj-99036	90	118	�	�	PROPN
esrj-99036	90	119	�	�	PROPN
esrj-99036	90	120	�	�	PROPN
esrj-99036	90	121	�	�	PROPN
esrj-99036	90	122	�	�	PROPN
esrj-99036	90	123	�	�	PROPN
esrj-99036	90	124	�	�	PROPN
esrj-99036	90	125	�	�	PROPN
esrj-99036	90	126	�	�	PROPN
esrj-99036	90	127	�	�	PROPN
esrj-99036	90	128	�	�	PROPN
esrj-99036	90	129	�	�	PROPN
esrj-99036	90	130	�	�	PROPN
esrj-99036	90	131	�	�	PROPN
esrj-99036	90	132	�	�	PROPN
esrj-99036	90	133	�	�	PROPN
esrj-99036	90	134	�	�	PROPN
esrj-99036	90	135	�	�	PROPN
esrj-99036	90	136	�	�	PROPN
esrj-99036	90	137	�	�	PROPN
esrj-99036	90	138	�	�	PROPN
esrj-99036	90	139	�	�	PROPN
esrj-99036	90	140	�	�	PROPN
esrj-99036	90	141	�	�	PROPN
esrj-99036	90	142	�	�	PROPN
esrj-99036	90	143	1	1	NUM
esrj-99036	90	144	2	2	NUM
esrj-99036	90	145	1	1	NUM
esrj-99036	90	146	2	2	NUM
esrj-99036	90	147	�	�	PROPN
esrj-99036	90	148	(	(	PUNCT
esrj-99036	90	149	3	3	NUM
esrj-99036	90	150	)	)	PUNCT
esrj-99036	90	151	adjusted	adjust	VERB
esrj-99036	90	152	return	return	NOUN
esrj-99036	90	153	periods	period	NOUN
esrj-99036	90	154	to	to	PART
esrj-99036	90	155	obtain	obtain	VERB
esrj-99036	90	156	the	the	DET
esrj-99036	90	157	cumulative	cumulative	ADJ
esrj-99036	90	158	distribution	distribution	NOUN
esrj-99036	90	159	function	function	NOUN
esrj-99036	90	160	f(x	f(x	PROPN
esrj-99036	90	161	)	)	PUNCT
esrj-99036	90	162	of	of	ADP
esrj-99036	90	163	each	each	DET
esrj-99036	90	164	fitted	fit	VERB
esrj-99036	90	165	probability	probability	NOUN
esrj-99036	90	166	distribution	distribution	NOUN
esrj-99036	90	167	function	function	NOUN
esrj-99036	90	168	,	,	PUNCT
esrj-99036	90	169	the	the	DET
esrj-99036	90	170	variable	variable	NOUN
esrj-99036	90	171	(	(	PUNCT
esrj-99036	90	172	x	x	NOUN
esrj-99036	90	173	)	)	PUNCT
esrj-99036	90	174	and	and	CCONJ
esrj-99036	90	175	the	the	DET
esrj-99036	90	176	following	follow	VERB
esrj-99036	90	177	parameters	parameter	NOUN
esrj-99036	90	178	were	be	AUX
esrj-99036	90	179	substituted	substitute	VERB
esrj-99036	90	180	into	into	ADP
esrj-99036	90	181	equations	equation	NOUN
esrj-99036	90	182	1	1	NUM
esrj-99036	90	183	,	,	PUNCT
esrj-99036	90	184	2	2	NUM
esrj-99036	90	185	and	and	CCONJ
esrj-99036	90	186	3	3	NUM
esrj-99036	90	187	:	:	PUNCT
esrj-99036	90	188	the	the	DET
esrj-99036	90	189	location	location	NOUN
esrj-99036	90	190	(	(	PUNCT
esrj-99036	90	191	μ	μ	NOUN
esrj-99036	90	192	)	)	PUNCT
esrj-99036	90	193	and	and	CCONJ
esrj-99036	90	194	scale	scale	NOUN
esrj-99036	90	195	(	(	PUNCT
esrj-99036	90	196	σ	σ	NOUN
esrj-99036	90	197	)	)	PUNCT
esrj-99036	90	198	parameters	parameter	NOUN
esrj-99036	90	199	in	in	ADP
esrj-99036	90	200	the	the	DET
esrj-99036	90	201	log	log	NOUN
esrj-99036	90	202	and	and	CCONJ
esrj-99036	90	203	lognormal	lognormal	ADJ
esrj-99036	90	204	functions	function	NOUN
esrj-99036	90	205	;	;	PUNCT
esrj-99036	90	206	and	and	CCONJ
esrj-99036	90	207	the	the	DET
esrj-99036	90	208	shape	shape	NOUN
esrj-99036	90	209	(	(	PUNCT
esrj-99036	90	210	k	k	NOUN
esrj-99036	90	211	)	)	PUNCT
esrj-99036	90	212	,	,	PUNCT
esrj-99036	90	213	scale	scale	NOUN
esrj-99036	90	214	(	(	PUNCT
esrj-99036	90	215	β	β	NOUN
esrj-99036	90	216	)	)	PUNCT
esrj-99036	90	217	and	and	CCONJ
esrj-99036	90	218	location	location	NOUN
esrj-99036	90	219	(	(	PUNCT
esrj-99036	90	220	μ	μ	NOUN
esrj-99036	90	221	)	)	PUNCT
esrj-99036	90	222	parameters	parameter	NOUN
esrj-99036	90	223	into	into	ADP
esrj-99036	90	224	the	the	DET
esrj-99036	90	225	gev	gev	NOUN
esrj-99036	90	226	distribution	distribution	NOUN
esrj-99036	90	227	.	.	PUNCT
esrj-99036	91	1	equation	equation	NOUN
esrj-99036	91	2	4	4	NUM
esrj-99036	91	3	was	be	AUX
esrj-99036	91	4	used	use	VERB
esrj-99036	91	5	to	to	PART
esrj-99036	91	6	calculate	calculate	VERB
esrj-99036	91	7	the	the	DET
esrj-99036	91	8	adjusted	adjust	VERB
esrj-99036	91	9	return	return	NOUN
esrj-99036	91	10	periods	period	NOUN
esrj-99036	91	11	(	(	PUNCT
esrj-99036	91	12	arps	arps	PROPN
esrj-99036	91	13	,	,	PUNCT
esrj-99036	91	14	chow	chow	PROPN
esrj-99036	91	15	et	et	PROPN
esrj-99036	91	16	al	al	PROPN
esrj-99036	91	17	.	.	PROPN
esrj-99036	91	18	,	,	PUNCT
esrj-99036	91	19	1994	1994	NUM
esrj-99036	91	20	;	;	PUNCT
esrj-99036	92	1	woong	woong	PROPN
esrj-99036	92	2	et	et	PROPN
esrj-99036	92	3	al	al	PROPN
esrj-99036	92	4	.	.	PROPN
esrj-99036	92	5	,	,	PUNCT
esrj-99036	92	6	2003	2003	NUM
esrj-99036	92	7	)	)	PUNCT
esrj-99036	92	8	.	.	PUNCT
esrj-99036	93	1	to	to	PART
esrj-99036	93	2	calculate	calculate	VERB
esrj-99036	93	3	the	the	DET
esrj-99036	93	4	frequency	frequency	NOUN
esrj-99036	93	5	of	of	ADP
esrj-99036	93	6	occurrence	occurrence	NOUN
esrj-99036	93	7	(	(	PUNCT
esrj-99036	93	8	arps	arps	PROPN
esrj-99036	93	9	,	,	PUNCT
esrj-99036	93	10	equation	equation	NOUN
esrj-99036	93	11	4	4	NUM
esrj-99036	93	12	)	)	PUNCT
esrj-99036	93	13	of	of	ADP
esrj-99036	93	14	extreme	extreme	ADJ
esrj-99036	93	15	events	event	NOUN
esrj-99036	93	16	for	for	ADP
esrj-99036	93	17	each	each	DET
esrj-99036	93	18	indicator	indicator	NOUN
esrj-99036	93	19	of	of	ADP
esrj-99036	93	20	met	meet	VERB
esrj-99036	93	21	,	,	PUNCT
esrj-99036	93	22	with	with	ADP
esrj-99036	93	23	equations	equation	NOUN
esrj-99036	93	24	1	1	NUM
esrj-99036	93	25	,	,	PUNCT
esrj-99036	93	26	2	2	NUM
esrj-99036	93	27	and	and	CCONJ
esrj-99036	93	28	3	3	NUM
esrj-99036	93	29	,	,	PUNCT
esrj-99036	93	30	implicit	implicit	ADJ
esrj-99036	93	31	in	in	ADP
esrj-99036	93	32	the	the	DET
esrj-99036	93	33	function	function	NOUN
esrj-99036	93	34	f(x	f(x	PROPN
esrj-99036	93	35	)	)	PUNCT
esrj-99036	93	36	,	,	PUNCT
esrj-99036	93	37	the	the	DET
esrj-99036	93	38	values	value	NOUN
esrj-99036	93	39	of	of	ADP
esrj-99036	93	40	the	the	DET
esrj-99036	93	41	parameters	parameter	NOUN
esrj-99036	93	42	μ	μ	PROPN
esrj-99036	93	43	,	,	PUNCT
esrj-99036	93	44	σ	σ	PROPN
esrj-99036	93	45	,	,	PUNCT
esrj-99036	93	46	k	k	PROPN
esrj-99036	93	47	,	,	PUNCT
esrj-99036	93	48	and	and	CCONJ
esrj-99036	93	49	β	β	X
esrj-99036	93	50	,	,	PUNCT
esrj-99036	93	51	(	(	PUNCT
esrj-99036	93	52	obtained	obtain	VERB
esrj-99036	93	53	with	with	ADP
esrj-99036	93	54	the	the	DET
esrj-99036	93	55	xlstat	xlstat	PROPN
esrj-99036	93	56	version	version	PROPN
esrj-99036	93	57	2014	2014	NUM
esrj-99036	93	58	software	software	NOUN
esrj-99036	93	59	)	)	PUNCT
esrj-99036	93	60	were	be	AUX
esrj-99036	93	61	aggregated	aggregate	VERB
esrj-99036	93	62	,	,	PUNCT
esrj-99036	93	63	respectively	respectively	ADV
esrj-99036	93	64	.	.	PUNCT
esrj-99036	94	1	arp	arp	PROPN
esrj-99036	94	2	f	f	PROPN
esrj-99036	94	3	x	x	SYM
esrj-99036	94	4	�	�	PROPN
esrj-99036	94	5	�	�	PROPN
esrj-99036	94	6	�	�	PROPN
esrj-99036	94	7	�	�	PROPN
esrj-99036	94	8	1	1	NUM
esrj-99036	94	9	1	1	NUM
esrj-99036	94	10	(	(	PUNCT
esrj-99036	94	11	)	)	PUNCT
esrj-99036	94	12	(	(	PUNCT
esrj-99036	94	13	4	4	X
esrj-99036	94	14	)	)	PUNCT
esrj-99036	95	1	the	the	DET
esrj-99036	95	2	modeling	modeling	NOUN
esrj-99036	95	3	tools	tool	NOUN
esrj-99036	95	4	of	of	ADP
esrj-99036	95	5	this	this	DET
esrj-99036	95	6	study	study	NOUN
esrj-99036	95	7	(	(	PUNCT
esrj-99036	95	8	st	st	PROPN
esrj-99036	95	9	,	,	PUNCT
esrj-99036	95	10	fitted	fit	VERB
esrj-99036	95	11	probability	probability	NOUN
esrj-99036	95	12	distribution	distribution	NOUN
esrj-99036	95	13	functions	function	NOUN
esrj-99036	95	14	and	and	CCONJ
esrj-99036	95	15	arp	arp	ADJ
esrj-99036	95	16	)	)	PUNCT
esrj-99036	95	17	,	,	PUNCT
esrj-99036	95	18	associated	associate	VERB
esrj-99036	95	19	with	with	ADP
esrj-99036	95	20	the	the	DET
esrj-99036	95	21	indicators	indicator	NOUN
esrj-99036	95	22	of	of	ADP
esrj-99036	95	23	met	meet	VERB
esrj-99036	95	24	;	;	PUNCT
esrj-99036	95	25	he	he	PRON
esrj-99036	95	26	(	(	PUNCT
esrj-99036	95	27	fr	fr	PROPN
esrj-99036	95	28	,	,	PUNCT
esrj-99036	95	29	aad	aad	INTJ
esrj-99036	95	30	,	,	PUNCT
esrj-99036	95	31	add	add	VERB
esrj-99036	95	32	and	and	CCONJ
esrj-99036	95	33	in	in	ADP
esrj-99036	95	34	)	)	PUNCT
esrj-99036	95	35	and	and	CCONJ
esrj-99036	95	36	mmt	mmt	NOUN
esrj-99036	95	37	,	,	PUNCT
esrj-99036	95	38	serve	serve	VERB
esrj-99036	95	39	to	to	PART
esrj-99036	95	40	estimate	estimate	VERB
esrj-99036	95	41	the	the	DET
esrj-99036	95	42	frequency	frequency	NOUN
esrj-99036	95	43	of	of	ADP
esrj-99036	95	44	met	meet	VERB
esrj-99036	95	45	occurrence	occurrence	NOUN
esrj-99036	95	46	.	.	PUNCT
esrj-99036	96	1	this	this	DET
esrj-99036	96	2	methodology	methodology	NOUN
esrj-99036	96	3	has	have	AUX
esrj-99036	96	4	also	also	ADV
esrj-99036	96	5	been	be	AUX
esrj-99036	96	6	applied	apply	VERB
esrj-99036	96	7	by	by	ADP
esrj-99036	96	8	chow	chow	PROPN
esrj-99036	96	9	et	et	PROPN
esrj-99036	96	10	al	al	PROPN
esrj-99036	96	11	.	.	PROPN
esrj-99036	96	12	(	(	PUNCT
esrj-99036	96	13	1994	1994	NUM
esrj-99036	96	14	)	)	PUNCT
esrj-99036	96	15	,	,	PUNCT
esrj-99036	96	16	ariza	ariza	PROPN
esrj-99036	96	17	(	(	PUNCT
esrj-99036	96	18	2013	2013	NUM
esrj-99036	96	19	)	)	PUNCT
esrj-99036	96	20	,	,	PUNCT
esrj-99036	96	21	gomáriz	gomáriz	PROPN
esrj-99036	96	22	(	(	PUNCT
esrj-99036	96	23	2015	2015	NUM
esrj-99036	96	24	)	)	PUNCT
esrj-99036	96	25	and	and	CCONJ
esrj-99036	96	26	campos	campos	PROPN
esrj-99036	96	27	(	(	PUNCT
esrj-99036	96	28	2016	2016	NUM
esrj-99036	96	29	)	)	PUNCT
esrj-99036	96	30	.	.	PUNCT
esrj-99036	97	1	to	to	PART
esrj-99036	97	2	calculate	calculate	VERB
esrj-99036	97	3	the	the	DET
esrj-99036	97	4	arps	arps	PROPN
esrj-99036	97	5	,	,	PUNCT
esrj-99036	97	6	xlstat	xlstat	X
esrj-99036	97	7	version	version	PROPN
esrj-99036	97	8	2014	2014	NUM
esrj-99036	97	9	,	,	PUNCT
esrj-99036	97	10	surfer	surfer	NOUN
esrj-99036	97	11	version	version	NOUN
esrj-99036	97	12	10.0	10.0	NUM
esrj-99036	97	13	and	and	CCONJ
esrj-99036	97	14	coreldraw	coreldraw	NOUN
esrj-99036	97	15	version	version	NOUN
esrj-99036	97	16	x7	x7	NOUN
esrj-99036	97	17	were	be	AUX
esrj-99036	97	18	used	use	VERB
esrj-99036	97	19	.	.	PUNCT
esrj-99036	98	1	3	3	X
esrj-99036	98	2	.	.	NOUN
esrj-99036	98	3	results	result	NOUN
esrj-99036	98	4	and	and	CCONJ
esrj-99036	98	5	discussion	discussion	NOUN
esrj-99036	98	6	3.1	3.1	NUM
esrj-99036	98	7	mann	mann	PROPN
esrj-99036	98	8	–	–	PUNCT
esrj-99036	98	9	kendall	kendall	PROPN
esrj-99036	98	10	test	test	NOUN
esrj-99036	98	11	for	for	ADP
esrj-99036	98	12	sts	st	NOUN
esrj-99036	98	13	figure	figure	NOUN
esrj-99036	98	14	2	2	NUM
esrj-99036	98	15	shows	show	VERB
esrj-99036	98	16	the	the	DET
esrj-99036	98	17	weather	weather	NOUN
esrj-99036	98	18	stations	station	NOUN
esrj-99036	98	19	with	with	ADP
esrj-99036	98	20	warming	warm	VERB
esrj-99036	98	21	or	or	CCONJ
esrj-99036	98	22	cooling	cool	VERB
esrj-99036	98	23	sts	st	NOUN
esrj-99036	98	24	(	(	PUNCT
esrj-99036	98	25	st	st	PROPN
esrj-99036	98	26	positive	positive	ADJ
esrj-99036	98	27	or	or	CCONJ
esrj-99036	98	28	st	st	NOUN
esrj-99036	98	29	negative	negative	ADJ
esrj-99036	98	30	,	,	PUNCT
esrj-99036	98	31	respectively	respectively	ADV
esrj-99036	98	32	)	)	PUNCT
esrj-99036	98	33	of	of	ADP
esrj-99036	98	34	the	the	DET
esrj-99036	98	35	indicators	indicator	NOUN
esrj-99036	98	36	of	of	ADP
esrj-99036	98	37	met	meet	VERB
esrj-99036	98	38	;	;	PUNCT
esrj-99036	98	39	fr	fr	ADJ
esrj-99036	98	40	,	,	PUNCT
esrj-99036	98	41	aad	aad	INTJ
esrj-99036	98	42	,	,	PUNCT
esrj-99036	98	43	add	add	VERB
esrj-99036	98	44	,	,	PUNCT
esrj-99036	98	45	in	in	ADV
esrj-99036	98	46	and	and	CCONJ
esrj-99036	98	47	mmt	mmt	NOUN
esrj-99036	98	48	.	.	PUNCT
esrj-99036	99	1	the	the	DET
esrj-99036	99	2	number	number	NOUN
esrj-99036	99	3	of	of	ADP
esrj-99036	99	4	negative	negative	ADJ
esrj-99036	99	5	and	and	CCONJ
esrj-99036	99	6	positive	positive	ADJ
esrj-99036	99	7	sts	st	NOUN
esrj-99036	99	8	for	for	ADP
esrj-99036	99	9	indicators	indicator	NOUN
esrj-99036	99	10	of	of	ADP
esrj-99036	99	11	met	meet	VERB
esrj-99036	99	12	were	be	AUX
esrj-99036	99	13	fr	fr	PROPN
esrj-99036	99	14	6	6	NUM
esrj-99036	99	15	negative	negative	ADJ
esrj-99036	99	16	and	and	CCONJ
esrj-99036	99	17	3	3	NUM
esrj-99036	99	18	positive	positive	ADJ
esrj-99036	99	19	;	;	PUNCT
esrj-99036	99	20	aad	aad	PROPN
esrj-99036	99	21	5	5	NUM
esrj-99036	99	22	negative	negative	ADJ
esrj-99036	99	23	and	and	CCONJ
esrj-99036	99	24	3	3	NUM
esrj-99036	99	25	positive	positive	ADJ
esrj-99036	99	26	;	;	PUNCT
esrj-99036	99	27	add	add	VERB
esrj-99036	99	28	6	6	NUM
esrj-99036	99	29	negative	negative	ADJ
esrj-99036	99	30	and	and	CCONJ
esrj-99036	99	31	3	3	NUM
esrj-99036	99	32	positive	positive	ADJ
esrj-99036	99	33	;	;	PUNCT
esrj-99036	99	34	in	in	ADP
esrj-99036	99	35	5	5	NUM
esrj-99036	99	36	negative	negative	ADJ
esrj-99036	99	37	and	and	CCONJ
esrj-99036	99	38	4	4	NUM
esrj-99036	99	39	positive	positive	ADJ
esrj-99036	99	40	;	;	PUNCT
esrj-99036	99	41	and	and	CCONJ
esrj-99036	99	42	mmt	mmt	PROPN
esrj-99036	99	43	6	6	NUM
esrj-99036	99	44	negative	negative	ADJ
esrj-99036	99	45	and	and	CCONJ
esrj-99036	99	46	3	3	NUM
esrj-99036	99	47	positive	positive	ADJ
esrj-99036	99	48	.	.	PUNCT
esrj-99036	100	1	the	the	DET
esrj-99036	100	2	weather	weather	NOUN
esrj-99036	100	3	stations	station	NOUN
esrj-99036	100	4	that	that	PRON
esrj-99036	100	5	showed	show	VERB
esrj-99036	100	6	negative	negative	ADJ
esrj-99036	100	7	sts	st	NOUN
esrj-99036	100	8	in	in	ADP
esrj-99036	100	9	the	the	DET
esrj-99036	100	10	five	five	NUM
esrj-99036	100	11	met	meet	VERB
esrj-99036	100	12	indicators	indicator	NOUN
esrj-99036	100	13	were	be	AUX
esrj-99036	100	14	jai	jai	PROPN
esrj-99036	100	15	,	,	PUNCT
esrj-99036	100	16	ota	ota	PROPN
esrj-99036	100	17	and	and	CCONJ
esrj-99036	100	18	ros	ros	PROPN
esrj-99036	100	19	,	,	PUNCT
esrj-99036	100	20	and	and	CCONJ
esrj-99036	100	21	the	the	DET
esrj-99036	100	22	highest	high	ADJ
esrj-99036	100	23	value	value	NOUN
esrj-99036	100	24	of	of	ADP
esrj-99036	100	25	add	add	NOUN
esrj-99036	100	26	was	be	AUX
esrj-99036	100	27	recorded	record	VERB
esrj-99036	100	28	at	at	ADP
esrj-99036	100	29	the	the	DET
esrj-99036	100	30	ros	ros	PROPN
esrj-99036	100	31	station	station	NOUN
esrj-99036	100	32	with	with	ADP
esrj-99036	100	33	st=−3.60	st=−3.60	PROPN
esrj-99036	100	34	.	.	PUNCT
esrj-99036	101	1	only	only	ADV
esrj-99036	101	2	one	one	NUM
esrj-99036	101	3	station	station	NOUN
esrj-99036	101	4	showed	show	VERB
esrj-99036	101	5	a	a	DET
esrj-99036	101	6	highest	high	ADJ
esrj-99036	101	7	positive	positive	ADJ
esrj-99036	101	8	st	st	NOUN
esrj-99036	101	9	in	in	ADP
esrj-99036	101	10	the	the	DET
esrj-99036	101	11	five	five	NUM
esrj-99036	101	12	met	meet	VERB
esrj-99036	101	13	indicators	indicator	NOUN
esrj-99036	101	14	;	;	PUNCT
esrj-99036	101	15	namely	namely	ADV
esrj-99036	101	16	,	,	PUNCT
esrj-99036	101	17	gut	gut	VERB
esrj-99036	101	18	with	with	ADP
esrj-99036	101	19	st=3.90	st=3.90	NOUN
esrj-99036	101	20	.	.	PUNCT
esrj-99036	102	1	these	these	DET
esrj-99036	102	2	results	result	NOUN
esrj-99036	102	3	are	be	AUX
esrj-99036	102	4	consistent	consistent	ADJ
esrj-99036	102	5	with	with	ADP
esrj-99036	102	6	those	those	PRON
esrj-99036	102	7	of	of	ADP
esrj-99036	102	8	llanes	llanes	PROPN
esrj-99036	102	9	et	et	PROPN
esrj-99036	102	10	al	al	PROPN
esrj-99036	102	11	.	.	PROPN
esrj-99036	103	1	(	(	PUNCT
esrj-99036	103	2	2015	2015	NUM
esrj-99036	103	3	)	)	PUNCT
esrj-99036	103	4	in	in	ADP
esrj-99036	103	5	that	that	SCONJ
esrj-99036	103	6	although	although	SCONJ
esrj-99036	103	7	these	these	DET
esrj-99036	103	8	authors	author	NOUN
esrj-99036	103	9	calculated	calculate	VERB
esrj-99036	103	10	trends	trend	NOUN
esrj-99036	103	11	for	for	ADP
esrj-99036	103	12	the	the	DET
esrj-99036	103	13	annual	annual	ADJ
esrj-99036	103	14	average	average	ADJ
esrj-99036	103	15	maximum	maximum	ADJ
esrj-99036	103	16	temperature	temperature	NOUN
esrj-99036	103	17	,	,	PUNCT
esrj-99036	103	18	they	they	PRON
esrj-99036	103	19	also	also	ADV
esrj-99036	103	20	found	find	VERB
esrj-99036	103	21	a	a	DET
esrj-99036	103	22	negative	negative	ADJ
esrj-99036	103	23	st	st	NOUN
esrj-99036	103	24	at	at	ADP
esrj-99036	103	25	the	the	DET
esrj-99036	103	26	jai	jai	PROPN
esrj-99036	103	27	station	station	NOUN
esrj-99036	103	28	and	and	CCONJ
esrj-99036	103	29	a	a	DET
esrj-99036	103	30	positive	positive	ADJ
esrj-99036	103	31	st	st	NOUN
esrj-99036	103	32	at	at	ADP
esrj-99036	103	33	the	the	DET
esrj-99036	103	34	gua	gua	PROPN
esrj-99036	103	35	station	station	NOUN
esrj-99036	103	36	.	.	PUNCT
esrj-99036	104	1	these	these	DET
esrj-99036	104	2	results	result	NOUN
esrj-99036	104	3	provide	provide	VERB
esrj-99036	104	4	essential	essential	ADJ
esrj-99036	104	5	information	information	NOUN
esrj-99036	104	6	to	to	PART
esrj-99036	104	7	characterize	characterize	VERB
esrj-99036	104	8	the	the	DET
esrj-99036	104	9	evolution	evolution	NOUN
esrj-99036	104	10	of	of	ADP
esrj-99036	104	11	regional	regional	ADJ
esrj-99036	104	12	warming	warming	NOUN
esrj-99036	104	13	–	–	PUNCT
esrj-99036	104	14	cooling	cooling	NOUN
esrj-99036	104	15	,	,	PUNCT
esrj-99036	104	16	which	which	PRON
esrj-99036	104	17	should	should	AUX
esrj-99036	104	18	be	be	AUX
esrj-99036	104	19	attributed	attribute	VERB
esrj-99036	104	20	,	,	PUNCT
esrj-99036	104	21	according	accord	VERB
esrj-99036	104	22	to	to	ADP
esrj-99036	104	23	alghamdi	alghamdi	NOUN
esrj-99036	104	24	and	and	CCONJ
esrj-99036	104	25	harrington	harrington	NOUN
esrj-99036	104	26	(	(	PUNCT
esrj-99036	104	27	2019	2019	NUM
esrj-99036	104	28	)	)	PUNCT
esrj-99036	104	29	,	,	PUNCT
esrj-99036	104	30	not	not	PART
esrj-99036	104	31	only	only	ADV
esrj-99036	104	32	to	to	ADP
esrj-99036	104	33	local	local	ADJ
esrj-99036	104	34	and	and	CCONJ
esrj-99036	104	35	regional	regional	ADJ
esrj-99036	104	36	changes	change	NOUN
esrj-99036	104	37	(	(	PUNCT
esrj-99036	104	38	elevation	elevation	NOUN
esrj-99036	104	39	,	,	PUNCT
esrj-99036	104	40	latitude	latitude	NOUN
esrj-99036	104	41	,	,	PUNCT
esrj-99036	104	42	and	and	CCONJ
esrj-99036	104	43	proximity	proximity	NOUN
esrj-99036	104	44	to	to	ADP
esrj-99036	104	45	water	water	NOUN
esrj-99036	104	46	bodies	body	NOUN
esrj-99036	104	47	)	)	PUNCT
esrj-99036	104	48	,	,	PUNCT
esrj-99036	104	49	but	but	CCONJ
esrj-99036	104	50	also	also	ADV
esrj-99036	104	51	to	to	ADP
esrj-99036	104	52	synoptic	synoptic	ADJ
esrj-99036	104	53	scale	scale	NOUN
esrj-99036	104	54	changes	change	NOUN
esrj-99036	104	55	(	(	PUNCT
esrj-99036	104	56	atmospheric	atmospheric	ADJ
esrj-99036	104	57	circulation	circulation	NOUN
esrj-99036	104	58	)	)	PUNCT
esrj-99036	104	59	such	such	ADJ
esrj-99036	104	60	as	as	ADP
esrj-99036	104	61	the	the	DET
esrj-99036	104	62	climate	climate	NOUN
esrj-99036	104	63	indices	indice	VERB
esrj-99036	104	64	pacific	pacific	ADJ
esrj-99036	104	65	decadal	decadal	NOUN
esrj-99036	104	66	oscillation	oscillation	NOUN
esrj-99036	104	67	,	,	PUNCT
esrj-99036	104	68	atlantic	atlantic	ADJ
esrj-99036	104	69	multidecadal	multidecadal	ADJ
esrj-99036	104	70	oscillation	oscillation	NOUN
esrj-99036	104	71	,	,	PUNCT
esrj-99036	104	72	oceanic	oceanic	PROPN
esrj-99036	104	73	el	el	PROPN
esrj-99036	104	74	niño	niño	PROPN
esrj-99036	104	75	index	index	PROPN
esrj-99036	104	76	and	and	CCONJ
esrj-99036	104	77	north	north	NOUN
esrj-99036	104	78	atlantic	atlantic	PROPN
esrj-99036	104	79	oscillation	oscillation	NOUN
esrj-99036	104	80	(	(	PUNCT
esrj-99036	104	81	llanes	llanes	PROPN
esrj-99036	104	82	,	,	PUNCT
esrj-99036	104	83	2023	2023	NUM
esrj-99036	104	84	)	)	PUNCT
esrj-99036	104	85	.	.	PUNCT
esrj-99036	105	1	kilometers	kilometer	NOUN
esrj-99036	105	2	weather	weather	NOUN
esrj-99036	105	3	station	station	NOUN
esrj-99036	105	4	a	a	DET
esrj-99036	105	5	)	)	PUNCT
esrj-99036	105	6	frequency	frequency	NOUN
esrj-99036	105	7	(	(	PUNCT
esrj-99036	105	8	fr	fr	NOUN
esrj-99036	105	9	)	)	PUNCT
esrj-99036	105	10	c	c	NOUN
esrj-99036	105	11	)	)	PUNCT
esrj-99036	105	12	annual	annual	ADJ
esrj-99036	105	13	daily	daily	ADJ
esrj-99036	105	14	duration	duration	NOUN
esrj-99036	105	15	(	(	PUNCT
esrj-99036	105	16	aad	aad	INTJ
esrj-99036	105	17	)	)	PUNCT
esrj-99036	105	18	e	e	NOUN
esrj-99036	105	19	)	)	PUNCT
esrj-99036	105	20	maximum	maximum	ADJ
esrj-99036	105	21	maximorum	maximorum	NOUN
esrj-99036	105	22	temperature	temperature	NOUN
esrj-99036	105	23	(	(	PUNCT
esrj-99036	105	24	mmt	mmt	PROPN
esrj-99036	105	25	)	)	PUNCT
esrj-99036	105	26	b	b	NOUN
esrj-99036	105	27	)	)	PUNCT
esrj-99036	105	28	daily	daily	ADJ
esrj-99036	105	29	mean	mean	NOUN
esrj-99036	105	30	duration	duration	NOUN
esrj-99036	105	31	(	(	PUNCT
esrj-99036	105	32	aad	aad	INTJ
esrj-99036	105	33	)	)	PUNCT
esrj-99036	105	34	d	d	NOUN
esrj-99036	105	35	)	)	PUNCT
esrj-99036	105	36	intensity	intensity	NOUN
esrj-99036	105	37	(	(	PUNCT
esrj-99036	105	38	in	in	ADP
esrj-99036	105	39	)	)	PUNCT
esrj-99036	105	40	la	la	PROPN
esrj-99036	105	41	tit	tit	NOUN
esrj-99036	105	42	ud	ud	INTJ
esrj-99036	105	43	e	e	PROPN
esrj-99036	105	44	la	la	X
esrj-99036	105	45	tit	tit	NOUN
esrj-99036	105	46	ud	ud	INTJ
esrj-99036	105	47	e	e	PROPN
esrj-99036	105	48	la	la	X
esrj-99036	105	49	tit	tit	NOUN
esrj-99036	105	50	ud	ud	INTJ
esrj-99036	105	51	e	e	PROPN
esrj-99036	105	52	la	la	X
esrj-99036	105	53	tit	tit	NOUN
esrj-99036	105	54	ud	ud	INTJ
esrj-99036	105	55	e	e	PROPN
esrj-99036	105	56	la	la	X
esrj-99036	105	57	tit	tit	NOUN
esrj-99036	105	58	ud	ud	ADP
esrj-99036	105	59	e	e	PROPN
esrj-99036	105	60	longitude	longitude	PROPN
esrj-99036	105	61	longitude	longitude	PROPN
esrj-99036	105	62	longitude	longitude	PROPN
esrj-99036	105	63	longitude	longitude	NOUN
esrj-99036	105	64	longitude	longitude	ADJ
esrj-99036	105	65	figure	figure	NOUN
esrj-99036	105	66	2	2	NUM
esrj-99036	105	67	.	.	PUNCT
esrj-99036	105	68	interpolation	interpolation	NOUN
esrj-99036	105	69	of	of	ADP
esrj-99036	105	70	mann	mann	PROPN
esrj-99036	105	71	–	–	PUNCT
esrj-99036	105	72	kendall	kendall	PROPN
esrj-99036	105	73	test	test	NOUN
esrj-99036	105	74	(	(	PUNCT
esrj-99036	105	75	sts	st	NOUN
esrj-99036	105	76	=	=	SYM
esrj-99036	105	77	black	black	ADJ
esrj-99036	105	78	line	line	NOUN
esrj-99036	105	79	,	,	PUNCT
esrj-99036	105	80	dimensionless	dimensionless	NOUN
esrj-99036	105	81	)	)	PUNCT
esrj-99036	105	82	.	.	PUNCT
esrj-99036	106	1	80	80	NUM
esrj-99036	106	2	omar	omar	PROPN
esrj-99036	106	3	llanes	llanes	PROPN
esrj-99036	106	4	cárdenas	cárdenas	PROPN
esrj-99036	106	5	,	,	PUNCT
esrj-99036	106	6	lorenzo	lorenzo	PROPN
esrj-99036	106	7	cervantes	cervante	VERB
esrj-99036	106	8	arce	arce	PROPN
esrj-99036	106	9	,	,	PUNCT
esrj-99036	106	10	gabriel	gabriel	PROPN
esrj-99036	106	11	eduardo	eduardo	PROPN
esrj-99036	106	12	gonzález	gonzález	PROPN
esrj-99036	106	13	gonzález	gonzález	PROPN
esrj-99036	106	14	sen	sen	PROPN
esrj-99036	106	15	’s	’s	PART
esrj-99036	106	16	slope	slope	PROPN
esrj-99036	106	17	test	test	NOUN
esrj-99036	106	18	for	for	ADP
esrj-99036	106	19	sts	st	NOUN
esrj-99036	106	20	figure	figure	NOUN
esrj-99036	106	21	3	3	NUM
esrj-99036	106	22	shows	show	VERB
esrj-99036	106	23	the	the	DET
esrj-99036	106	24	magnitudes	magnitude	NOUN
esrj-99036	106	25	of	of	ADP
esrj-99036	106	26	the	the	DET
esrj-99036	106	27	st	st	PROPN
esrj-99036	106	28	indicators	indicator	NOUN
esrj-99036	106	29	.	.	PUNCT
esrj-99036	107	1	the	the	DET
esrj-99036	107	2	highest	high	ADJ
esrj-99036	107	3	magnitudes	magnitude	NOUN
esrj-99036	107	4	of	of	ADP
esrj-99036	107	5	negative	negative	ADJ
esrj-99036	107	6	st	st	PROPN
esrj-99036	107	7	were	be	AUX
esrj-99036	107	8	recorded	record	VERB
esrj-99036	107	9	at	at	ADP
esrj-99036	107	10	stations	station	NOUN
esrj-99036	107	11	epl	epl	PROPN
esrj-99036	108	1	(	(	PUNCT
esrj-99036	108	2	fr	fr	PROPN
esrj-99036	108	3	=	=	PUNCT
esrj-99036	109	1	−2.81	−2.81	PROPN
esrj-99036	109	2	he	he	PRON
esrj-99036	109	3	dec-1	dec-1	VERB
esrj-99036	109	4	,	,	PUNCT
esrj-99036	109	5	aad	aad	NOUN
esrj-99036	109	6	=	=	SYM
esrj-99036	109	7	−9.38	−9.38	PROPN
esrj-99036	109	8	day	day	NOUN
esrj-99036	109	9	he-1	he-1	ADP
esrj-99036	109	10	dec-1	dec-1	NOUN
esrj-99036	109	11	and	and	CCONJ
esrj-99036	109	12	mmt	mmt	PROPN
esrj-99036	109	13	=	=	SYM
esrj-99036	110	1	−1.88	−1.88	X
esrj-99036	110	2	°	°	ADP
esrj-99036	110	3	c	c	NOUN
esrj-99036	110	4	day-1	day-1	NUM
esrj-99036	110	5	dec-1	dec-1	NOUN
esrj-99036	110	6	)	)	PUNCT
esrj-99036	110	7	,	,	PUNCT
esrj-99036	110	8	aca	aca	PROPN
esrj-99036	110	9	(	(	PUNCT
esrj-99036	110	10	add	add	VERB
esrj-99036	110	11	=	=	SYM
esrj-99036	110	12	−20.94	−20.94	PROPN
esrj-99036	110	13	day	day	NOUN
esrj-99036	110	14	dec-1	dec-1	NOUN
esrj-99036	110	15	)	)	PUNCT
esrj-99036	110	16	and	and	CCONJ
esrj-99036	110	17	bad	bad	ADJ
esrj-99036	110	18	(	(	PUNCT
esrj-99036	110	19	in	in	ADP
esrj-99036	110	20	=	=	PROPN
esrj-99036	110	21	−12.92	−12.92	PROPN
esrj-99036	110	22	°	°	PROPN
esrj-99036	110	23	c	c	NOUN
esrj-99036	110	24	dec-1	dec-1	NOUN
esrj-99036	110	25	)	)	PUNCT
esrj-99036	110	26	.	.	PUNCT
esrj-99036	111	1	the	the	DET
esrj-99036	111	2	highest	high	ADJ
esrj-99036	111	3	positive	positive	ADJ
esrj-99036	111	4	magnitudes	magnitude	NOUN
esrj-99036	111	5	of	of	ADP
esrj-99036	111	6	st	st	PROPN
esrj-99036	111	7	were	be	AUX
esrj-99036	111	8	recorded	record	VERB
esrj-99036	111	9	at	at	ADP
esrj-99036	111	10	stations	station	NOUN
esrj-99036	111	11	cul	cul	PROPN
esrj-99036	111	12	(	(	PUNCT
esrj-99036	111	13	fr	fr	NOUN
esrj-99036	111	14	=	=	SYM
esrj-99036	111	15	3.44	3.44	NUM
esrj-99036	111	16	he	he	PRON
esrj-99036	111	17	dec-1	dec-1	NOUN
esrj-99036	111	18	)	)	PUNCT
esrj-99036	111	19	,	,	PUNCT
esrj-99036	111	20	gut	gut	NOUN
esrj-99036	111	21	(	(	PUNCT
esrj-99036	111	22	aad	aad	NOUN
esrj-99036	111	23	=	=	NOUN
esrj-99036	111	24	6.15	6.15	NUM
esrj-99036	111	25	day	day	NOUN
esrj-99036	111	26	he-1	he-1	ADP
esrj-99036	111	27	dec-1	dec-1	NOUN
esrj-99036	111	28	and	and	CCONJ
esrj-99036	111	29	in	in	ADP
esrj-99036	111	30	=	=	PROPN
esrj-99036	111	31	13.62	13.62	NUM
esrj-99036	111	32	°	°	NOUN
esrj-99036	111	33	c	c	NOUN
esrj-99036	111	34	dec-1	dec-1	NOUN
esrj-99036	111	35	)	)	PUNCT
esrj-99036	111	36	,	,	PUNCT
esrj-99036	111	37	ixp	ixp	NOUN
esrj-99036	111	38	(	(	PUNCT
esrj-99036	111	39	add	add	VERB
esrj-99036	111	40	=	=	SYM
esrj-99036	111	41	35.00	35.00	NUM
esrj-99036	111	42	day	day	NOUN
esrj-99036	111	43	dec-1	dec-1	NOUN
esrj-99036	111	44	)	)	PUNCT
esrj-99036	111	45	and	and	CCONJ
esrj-99036	111	46	pot	pot	NOUN
esrj-99036	111	47	(	(	PUNCT
esrj-99036	111	48	mmt	mmt	PROPN
esrj-99036	111	49	=	=	PROPN
esrj-99036	111	50	2.50	2.50	NUM
esrj-99036	111	51	°	°	ADP
esrj-99036	111	52	c	c	NOUN
esrj-99036	111	53	day-1	day-1	NUM
esrj-99036	111	54	dec-1	dec-1	NOUN
esrj-99036	111	55	)	)	PUNCT
esrj-99036	111	56	,	,	PUNCT
esrj-99036	111	57	as	as	SCONJ
esrj-99036	111	58	shown	show	VERB
esrj-99036	111	59	in	in	ADP
esrj-99036	111	60	figure	figure	NOUN
esrj-99036	111	61	3	3	NUM
esrj-99036	111	62	.	.	PUNCT
esrj-99036	112	1	if	if	SCONJ
esrj-99036	112	2	li	li	PROPN
esrj-99036	112	3	’s	’s	PART
esrj-99036	112	4	criteria	criterion	NOUN
esrj-99036	112	5	are	be	AUX
esrj-99036	112	6	considered	consider	VERB
esrj-99036	112	7	,	,	PUNCT
esrj-99036	112	8	which	which	PRON
esrj-99036	112	9	are	be	AUX
esrj-99036	112	10	applied	apply	VERB
esrj-99036	112	11	in	in	ADP
esrj-99036	112	12	the	the	DET
esrj-99036	112	13	presence	presence	NOUN
esrj-99036	112	14	of	of	ADP
esrj-99036	112	15	extreme	extreme	ADJ
esrj-99036	112	16	droughts	drought	NOUN
esrj-99036	112	17	,	,	PUNCT
esrj-99036	112	18	the	the	DET
esrj-99036	112	19	positive	positive	ADJ
esrj-99036	112	20	trends	trend	NOUN
esrj-99036	112	21	of	of	ADP
esrj-99036	112	22	sts	st	NOUN
esrj-99036	112	23	om	om	PROPN
esrj-99036	112	24	fr	fr	NOUN
esrj-99036	112	25	,	,	PUNCT
esrj-99036	112	26	aad	aad	INTJ
esrj-99036	112	27	,	,	PUNCT
esrj-99036	112	28	add	add	VERB
esrj-99036	112	29	,	,	PUNCT
esrj-99036	112	30	in	in	ADV
esrj-99036	112	31	,	,	PUNCT
esrj-99036	112	32	and	and	CCONJ
esrj-99036	112	33	mmt	mmt	PROPN
esrj-99036	112	34	suggest	suggest	VERB
esrj-99036	112	35	that	that	SCONJ
esrj-99036	112	36	extreme	extreme	ADJ
esrj-99036	112	37	drought	drought	NOUN
esrj-99036	112	38	events	event	NOUN
esrj-99036	112	39	may	may	AUX
esrj-99036	112	40	occur	occur	VERB
esrj-99036	112	41	near	near	ADP
esrj-99036	112	42	stations	station	NOUN
esrj-99036	112	43	cul	cul	VERB
esrj-99036	112	44	,	,	PUNCT
esrj-99036	112	45	gut	gut	PROPN
esrj-99036	112	46	,	,	PUNCT
esrj-99036	112	47	ixp	ixp	NOUN
esrj-99036	112	48	and	and	CCONJ
esrj-99036	112	49	pot	pot	NOUN
esrj-99036	112	50	.	.	PUNCT
esrj-99036	113	1	in	in	ADP
esrj-99036	113	2	this	this	DET
esrj-99036	113	3	situation	situation	NOUN
esrj-99036	113	4	,	,	PUNCT
esrj-99036	113	5	the	the	DET
esrj-99036	113	6	strength	strength	NOUN
esrj-99036	113	7	of	of	ADP
esrj-99036	113	8	these	these	DET
esrj-99036	113	9	events	event	NOUN
esrj-99036	113	10	could	could	AUX
esrj-99036	113	11	affect	affect	VERB
esrj-99036	113	12	the	the	DET
esrj-99036	113	13	yield	yield	NOUN
esrj-99036	113	14	of	of	ADP
esrj-99036	113	15	priority	priority	NOUN
esrj-99036	113	16	rainfed	rainfe	VERB
esrj-99036	113	17	crops	crop	NOUN
esrj-99036	113	18	grown	grow	VERB
esrj-99036	113	19	in	in	ADP
esrj-99036	113	20	the	the	DET
esrj-99036	113	21	study	study	NOUN
esrj-99036	113	22	area	area	NOUN
esrj-99036	113	23	;	;	PUNCT
esrj-99036	113	24	beans	bean	NOUN
esrj-99036	113	25	,	,	PUNCT
esrj-99036	113	26	sorghum	sorghum	NOUN
esrj-99036	113	27	(	(	PUNCT
esrj-99036	113	28	sagarpa	sagarpa	NOUN
esrj-99036	113	29	,	,	PUNCT
esrj-99036	113	30	2015	2015	NUM
esrj-99036	113	31	)	)	PUNCT
esrj-99036	113	32	and	and	CCONJ
esrj-99036	113	33	corn	corn	NOUN
esrj-99036	113	34	(	(	PUNCT
esrj-99036	113	35	llanes	llanes	PROPN
esrj-99036	113	36	et	et	NOUN
esrj-99036	113	37	al	al	PROPN
esrj-99036	113	38	.	.	PROPN
esrj-99036	113	39	,	,	PUNCT
esrj-99036	113	40	2022b	2022b	NUM
esrj-99036	113	41	)	)	PUNCT
esrj-99036	113	42	.	.	PUNCT
esrj-99036	114	1	this	this	PRON
esrj-99036	114	2	is	be	AUX
esrj-99036	114	3	verified	verify	VERB
esrj-99036	114	4	with	with	ADP
esrj-99036	114	5	the	the	DET
esrj-99036	114	6	results	result	NOUN
esrj-99036	114	7	obtained	obtain	VERB
esrj-99036	114	8	by	by	ADP
esrj-99036	114	9	llanes	llanes	PROPN
esrj-99036	114	10	et	et	PROPN
esrj-99036	114	11	al	al	PROPN
esrj-99036	114	12	.	.	PROPN
esrj-99036	115	1	(	(	PUNCT
esrj-99036	115	2	2022b	2022b	NUM
esrj-99036	115	3	)	)	PUNCT
esrj-99036	115	4	,	,	PUNCT
esrj-99036	115	5	who	who	PRON
esrj-99036	115	6	established	establish	VERB
esrj-99036	115	7	that	that	SCONJ
esrj-99036	115	8	in	in	ADP
esrj-99036	115	9	sinaloa	sinaloa	NOUN
esrj-99036	115	10	,	,	PUNCT
esrj-99036	115	11	the	the	DET
esrj-99036	115	12	indices	index	NOUN
esrj-99036	115	13	of	of	ADP
esrj-99036	115	14	meteorological	meteorological	ADJ
esrj-99036	115	15	drought	drought	NOUN
esrj-99036	115	16	that	that	PRON
esrj-99036	115	17	require	require	VERB
esrj-99036	115	18	evapotranspiration	evapotranspiration	NOUN
esrj-99036	115	19	and	and	CCONJ
esrj-99036	115	20	maximum	maximum	ADJ
esrj-99036	115	21	temperature	temperature	NOUN
esrj-99036	115	22	as	as	ADP
esrj-99036	115	23	input	input	NOUN
esrj-99036	115	24	data	datum	NOUN
esrj-99036	115	25	for	for	ADP
esrj-99036	115	26	their	their	PRON
esrj-99036	115	27	calculation	calculation	NOUN
esrj-99036	115	28	(	(	PUNCT
esrj-99036	115	29	i.e.	i.e.	X
esrj-99036	115	30	,	,	PUNCT
esrj-99036	115	31	reconnaissance	reconnaissance	NOUN
esrj-99036	115	32	drought	drought	NOUN
esrj-99036	115	33	index	index	NOUN
esrj-99036	115	34	and	and	CCONJ
esrj-99036	115	35	effective	effective	ADJ
esrj-99036	115	36	reconnaissance	reconnaissance	NOUN
esrj-99036	115	37	drought	drought	NOUN
esrj-99036	115	38	index	index	NOUN
esrj-99036	115	39	)	)	PUNCT
esrj-99036	115	40	registered	register	VERB
esrj-99036	115	41	the	the	DET
esrj-99036	115	42	highest	high	ADJ
esrj-99036	115	43	significant	significant	ADJ
esrj-99036	115	44	correlations	correlation	NOUN
esrj-99036	115	45	with	with	ADP
esrj-99036	115	46	rainfed	rainfed	ADJ
esrj-99036	115	47	maize	maize	NOUN
esrj-99036	115	48	yield	yield	NOUN
esrj-99036	115	49	;	;	PUNCT
esrj-99036	115	50	i.e.	i.e.	X
esrj-99036	115	51	,	,	PUNCT
esrj-99036	115	52	in	in	ADP
esrj-99036	115	53	las	las	PROPN
esrj-99036	115	54	tortugas	tortugas	PROPN
esrj-99036	115	55	(	(	PUNCT
esrj-99036	115	56	station	station	NOUN
esrj-99036	115	57	with	with	ADP
esrj-99036	115	58	the	the	DET
esrj-99036	115	59	highest	high	ADJ
esrj-99036	115	60	average	average	ADJ
esrj-99036	115	61	maximum	maximum	ADJ
esrj-99036	115	62	temperature	temperature	NOUN
esrj-99036	115	63	for	for	ADP
esrj-99036	115	64	the	the	DET
esrj-99036	115	65	period	period	NOUN
esrj-99036	115	66	1982–2013	1982–2013	NUM
esrj-99036	115	67	)	)	PUNCT
esrj-99036	115	68	.	.	PUNCT
esrj-99036	116	1	this	this	PRON
esrj-99036	116	2	could	could	AUX
esrj-99036	116	3	put	put	VERB
esrj-99036	116	4	the	the	DET
esrj-99036	116	5	socioeconomic	socioeconomic	ADJ
esrj-99036	116	6	and	and	CCONJ
esrj-99036	116	7	agrifood	agrifood	NOUN
esrj-99036	116	8	sustainability	sustainability	NOUN
esrj-99036	116	9	of	of	ADP
esrj-99036	116	10	sinaloa	sinaloa	NOUN
esrj-99036	116	11	and	and	CCONJ
esrj-99036	116	12	the	the	DET
esrj-99036	116	13	whole	whole	ADJ
esrj-99036	116	14	country	country	NOUN
esrj-99036	116	15	at	at	ADP
esrj-99036	116	16	risk	risk	NOUN
esrj-99036	116	17	(	(	PUNCT
esrj-99036	116	18	robeson	robeson	PROPN
esrj-99036	116	19	,	,	PUNCT
esrj-99036	116	20	2004	2004	NUM
esrj-99036	116	21	;	;	PUNCT
esrj-99036	116	22	ruiz	ruiz	NOUN
esrj-99036	116	23	et	et	PROPN
esrj-99036	116	24	al	al	PROPN
esrj-99036	116	25	.	.	PROPN
esrj-99036	116	26	,	,	PUNCT
esrj-99036	116	27	2005	2005	NUM
esrj-99036	116	28	;	;	PUNCT
esrj-99036	116	29	sheridan	sheridan	PROPN
esrj-99036	116	30	&	&	CCONJ
esrj-99036	116	31	lee	lee	PROPN
esrj-99036	116	32	,	,	PUNCT
esrj-99036	116	33	2018	2018	NUM
esrj-99036	116	34	)	)	PUNCT
esrj-99036	116	35	,	,	PUNCT
esrj-99036	116	36	especially	especially	ADV
esrj-99036	116	37	considering	consider	VERB
esrj-99036	116	38	that	that	SCONJ
esrj-99036	116	39	this	this	PRON
esrj-99036	116	40	is	be	AUX
esrj-99036	116	41	one	one	NUM
esrj-99036	116	42	of	of	ADP
esrj-99036	116	43	the	the	DET
esrj-99036	116	44	most	most	ADV
esrj-99036	116	45	important	important	ADJ
esrj-99036	116	46	agricultural	agricultural	ADJ
esrj-99036	116	47	states	state	NOUN
esrj-99036	116	48	in	in	ADP
esrj-99036	116	49	mexico	mexico	PROPN
esrj-99036	116	50	(	(	PUNCT
esrj-99036	116	51	rincón	rincón	PROPN
esrj-99036	116	52	,	,	PUNCT
esrj-99036	116	53	2012	2012	NUM
esrj-99036	116	54	)	)	PUNCT
esrj-99036	116	55	.	.	PUNCT
esrj-99036	117	1	in	in	ADP
esrj-99036	117	2	summer	summer	NOUN
esrj-99036	117	3	,	,	PUNCT
esrj-99036	117	4	sinaloa	sinaloa	NOUN
esrj-99036	117	5	has	have	VERB
esrj-99036	117	6	extremely	extremely	ADV
esrj-99036	117	7	high	high	ADJ
esrj-99036	117	8	temperatures	temperature	NOUN
esrj-99036	117	9	(	(	PUNCT
esrj-99036	117	10	up	up	ADP
esrj-99036	117	11	to	to	PART
esrj-99036	117	12	48	48	NUM
esrj-99036	117	13	ºc	ºc	NOUN
esrj-99036	117	14	)	)	PUNCT
esrj-99036	117	15	and	and	CCONJ
esrj-99036	117	16	is	be	AUX
esrj-99036	117	17	often	often	ADV
esrj-99036	117	18	affected	affect	VERB
esrj-99036	117	19	by	by	ADP
esrj-99036	117	20	diseases	disease	NOUN
esrj-99036	117	21	caused	cause	VERB
esrj-99036	117	22	by	by	ADP
esrj-99036	117	23	high	high	ADJ
esrj-99036	117	24	mets	met	NOUN
esrj-99036	117	25	(	(	PUNCT
esrj-99036	117	26	riojas	riojas	PROPN
esrj-99036	117	27	et	et	PROPN
esrj-99036	117	28	al	al	PROPN
esrj-99036	117	29	.	.	PROPN
esrj-99036	117	30	,	,	PUNCT
esrj-99036	117	31	2006	2006	NUM
esrj-99036	117	32	)	)	PUNCT
esrj-99036	117	33	.	.	PUNCT
esrj-99036	118	1	it	it	PRON
esrj-99036	118	2	is	be	AUX
esrj-99036	118	3	important	important	ADJ
esrj-99036	118	4	to	to	PART
esrj-99036	118	5	note	note	VERB
esrj-99036	118	6	that	that	SCONJ
esrj-99036	118	7	the	the	DET
esrj-99036	118	8	positive	positive	ADJ
esrj-99036	118	9	values	value	NOUN
esrj-99036	118	10	of	of	ADP
esrj-99036	118	11	st	st	PROPN
esrj-99036	118	12	for	for	ADP
esrj-99036	118	13	mmt	mmt	PROPN
esrj-99036	118	14	suggests	suggest	VERB
esrj-99036	118	15	that	that	SCONJ
esrj-99036	118	16	the	the	DET
esrj-99036	118	17	people	people	NOUN
esrj-99036	118	18	near	near	ADP
esrj-99036	118	19	stations	station	NOUN
esrj-99036	118	20	cul	cul	VERB
esrj-99036	118	21	,	,	PUNCT
esrj-99036	118	22	gut	gut	PROPN
esrj-99036	118	23	,	,	PUNCT
esrj-99036	118	24	ixp	ixp	NOUN
esrj-99036	118	25	and	and	CCONJ
esrj-99036	118	26	pot	pot	NOUN
esrj-99036	118	27	could	could	AUX
esrj-99036	118	28	be	be	AUX
esrj-99036	118	29	at	at	ADP
esrj-99036	118	30	risk	risk	NOUN
esrj-99036	118	31	of	of	ADP
esrj-99036	118	32	sporadic	sporadic	ADJ
esrj-99036	118	33	events	event	NOUN
esrj-99036	118	34	of	of	ADP
esrj-99036	118	35	heatstroke	heatstroke	PROPN
esrj-99036	118	36	and	and	CCONJ
esrj-99036	118	37	,	,	PUNCT
esrj-99036	118	38	as	as	ADP
esrj-99036	118	39	a	a	DET
esrj-99036	118	40	consequence	consequence	NOUN
esrj-99036	118	41	,	,	PUNCT
esrj-99036	118	42	potential	potential	ADJ
esrj-99036	118	43	loss	loss	NOUN
esrj-99036	118	44	of	of	ADP
esrj-99036	118	45	human	human	ADJ
esrj-99036	118	46	life	life	NOUN
esrj-99036	118	47	(	(	PUNCT
esrj-99036	118	48	ops	op	NOUN
esrj-99036	118	49	,	,	PUNCT
esrj-99036	118	50	2019	2019	NUM
esrj-99036	118	51	)	)	PUNCT
esrj-99036	118	52	.	.	PUNCT
esrj-99036	119	1	kilometers	kilometer	NOUN
esrj-99036	119	2	weather	weather	NOUN
esrj-99036	119	3	station	station	NOUN
esrj-99036	119	4	a	a	DET
esrj-99036	119	5	)	)	PUNCT
esrj-99036	119	6	frequency	frequency	NOUN
esrj-99036	119	7	(	(	PUNCT
esrj-99036	119	8	fr	fr	NOUN
esrj-99036	119	9	)	)	PUNCT
esrj-99036	119	10	c	c	NOUN
esrj-99036	119	11	)	)	PUNCT
esrj-99036	119	12	annual	annual	ADJ
esrj-99036	119	13	daily	daily	ADJ
esrj-99036	119	14	duration	duration	NOUN
esrj-99036	119	15	(	(	PUNCT
esrj-99036	119	16	add	add	VERB
esrj-99036	119	17	)	)	PUNCT
esrj-99036	119	18	e	e	NOUN
esrj-99036	119	19	)	)	PUNCT
esrj-99036	119	20	maximum	maximum	ADJ
esrj-99036	119	21	maximorum	maximorum	NOUN
esrj-99036	119	22	temperature	temperature	NOUN
esrj-99036	119	23	(	(	PUNCT
esrj-99036	119	24	mmt	mmt	PROPN
esrj-99036	119	25	)	)	PUNCT
esrj-99036	119	26	b	b	NOUN
esrj-99036	119	27	)	)	PUNCT
esrj-99036	119	28	daily	daily	ADJ
esrj-99036	119	29	mean	mean	NOUN
esrj-99036	119	30	duration	duration	NOUN
esrj-99036	119	31	(	(	PUNCT
esrj-99036	119	32	aad	aad	INTJ
esrj-99036	119	33	)	)	PUNCT
esrj-99036	119	34	d	d	NOUN
esrj-99036	119	35	)	)	PUNCT
esrj-99036	119	36	intensity	intensity	NOUN
esrj-99036	119	37	(	(	PUNCT
esrj-99036	119	38	in	in	ADP
esrj-99036	119	39	)	)	PUNCT
esrj-99036	119	40	la	la	PROPN
esrj-99036	119	41	tit	tit	NOUN
esrj-99036	119	42	ud	ud	INTJ
esrj-99036	119	43	e	e	PROPN
esrj-99036	119	44	la	la	X
esrj-99036	119	45	tit	tit	NOUN
esrj-99036	119	46	ud	ud	INTJ
esrj-99036	119	47	e	e	PROPN
esrj-99036	119	48	la	la	X
esrj-99036	119	49	tit	tit	NOUN
esrj-99036	119	50	ud	ud	INTJ
esrj-99036	119	51	e	e	PROPN
esrj-99036	119	52	la	la	X
esrj-99036	119	53	tit	tit	NOUN
esrj-99036	120	1	ud	ud	INTJ
esrj-99036	120	2	e	e	PROPN
esrj-99036	120	3	la	la	X
esrj-99036	120	4	tit	tit	NOUN
esrj-99036	120	5	ud	ud	ADP
esrj-99036	120	6	e	e	PROPN
esrj-99036	120	7	longitude	longitude	PROPN
esrj-99036	120	8	longitude	longitude	PROPN
esrj-99036	120	9	longitude	longitude	PROPN
esrj-99036	120	10	longitude	longitude	PROPN
esrj-99036	120	11	longitude	longitude	ADJ
esrj-99036	120	12	figure	figure	NOUN
esrj-99036	120	13	3	3	NUM
esrj-99036	120	14	.	.	PUNCT
esrj-99036	120	15	interpolation	interpolation	NOUN
esrj-99036	120	16	of	of	ADP
esrj-99036	120	17	sen	sen	PROPN
esrj-99036	120	18	’s	’s	PART
esrj-99036	120	19	slope	slope	PROPN
esrj-99036	120	20	test	test	NOUN
esrj-99036	120	21	(	(	PUNCT
esrj-99036	120	22	sts	st	NOUN
esrj-99036	120	23	=	=	SYM
esrj-99036	120	24	black	black	ADJ
esrj-99036	120	25	line	line	NOUN
esrj-99036	120	26	)	)	PUNCT
esrj-99036	120	27	.	.	PUNCT
esrj-99036	121	1	measurement	measurement	NOUN
esrj-99036	121	2	units	unit	NOUN
esrj-99036	121	3	:	:	PUNCT
esrj-99036	121	4	a	a	DET
esrj-99036	121	5	(	(	PUNCT
esrj-99036	121	6	he	he	PRON
esrj-99036	121	7	dec–1	dec–1	NOUN
esrj-99036	121	8	)	)	PUNCT
esrj-99036	121	9	,	,	PUNCT
esrj-99036	121	10	b	b	X
esrj-99036	121	11	(	(	PUNCT
esrj-99036	121	12	day	day	NOUN
esrj-99036	121	13	he–1	he–1	PROPN
esrj-99036	121	14	dec–1	dec–1	NOUN
esrj-99036	121	15	)	)	PUNCT
esrj-99036	121	16	,	,	PUNCT
esrj-99036	121	17	c	c	PROPN
esrj-99036	121	18	(	(	PUNCT
esrj-99036	121	19	day	day	NOUN
esrj-99036	121	20	dec–1	dec–1	NOUN
esrj-99036	121	21	)	)	PUNCT
esrj-99036	121	22	,	,	PUNCT
esrj-99036	121	23	d	d	X
esrj-99036	121	24	(	(	PUNCT
esrj-99036	121	25	°	°	ADP
esrj-99036	121	26	c	c	NOUN
esrj-99036	121	27	dec–1	dec–1	NOUN
esrj-99036	121	28	)	)	PUNCT
esrj-99036	121	29	and	and	CCONJ
esrj-99036	121	30	e	e	X
esrj-99036	121	31	(	(	PUNCT
esrj-99036	121	32	°	°	ADP
esrj-99036	121	33	c	c	NOUN
esrj-99036	121	34	day–1	day–1	X
esrj-99036	121	35	dec–1	dec–1	PROPN
esrj-99036	121	36	)	)	PUNCT
esrj-99036	121	37	.	.	PUNCT
esrj-99036	122	1	the	the	DET
esrj-99036	122	2	results	result	NOUN
esrj-99036	122	3	of	of	ADP
esrj-99036	122	4	the	the	DET
esrj-99036	122	5	analysis	analysis	NOUN
esrj-99036	122	6	of	of	ADP
esrj-99036	122	7	fr	fr	NOUN
esrj-99036	122	8	,	,	PUNCT
esrj-99036	122	9	aad	aad	INTJ
esrj-99036	122	10	,	,	PUNCT
esrj-99036	122	11	add	add	VERB
esrj-99036	122	12	,	,	PUNCT
esrj-99036	122	13	in	in	ADV
esrj-99036	122	14	and	and	CCONJ
esrj-99036	122	15	mmt	mmt	PROPN
esrj-99036	122	16	presented	present	VERB
esrj-99036	122	17	in	in	ADP
esrj-99036	122	18	table	table	NOUN
esrj-99036	122	19	3	3	NUM
esrj-99036	122	20	show	show	VERB
esrj-99036	122	21	a	a	DET
esrj-99036	122	22	prevailing	prevail	VERB
esrj-99036	122	23	cooling	cool	VERB
esrj-99036	122	24	trend	trend	NOUN
esrj-99036	122	25	,	,	PUNCT
esrj-99036	122	26	due	due	ADP
esrj-99036	122	27	to	to	ADP
esrj-99036	122	28	the	the	DET
esrj-99036	122	29	number	number	NOUN
esrj-99036	122	30	of	of	ADP
esrj-99036	122	31	indicators	indicator	NOUN
esrj-99036	122	32	of	of	ADP
esrj-99036	122	33	met	meet	VERB
esrj-99036	122	34	with	with	ADP
esrj-99036	122	35	negative	negative	ADJ
esrj-99036	122	36	sts	st	NOUN
esrj-99036	122	37	(	(	PUNCT
esrj-99036	122	38	28	28	NUM
esrj-99036	122	39	stations	station	NOUN
esrj-99036	122	40	)	)	PUNCT
esrj-99036	122	41	being	be	AUX
esrj-99036	122	42	greater	great	ADJ
esrj-99036	122	43	in	in	ADP
esrj-99036	122	44	absolute	absolute	ADJ
esrj-99036	122	45	value	value	NOUN
esrj-99036	122	46	than	than	ADP
esrj-99036	122	47	those	those	PRON
esrj-99036	122	48	with	with	ADP
esrj-99036	122	49	positive	positive	ADJ
esrj-99036	122	50	values	value	NOUN
esrj-99036	122	51	(	(	PUNCT
esrj-99036	122	52	15	15	NUM
esrj-99036	122	53	stations	station	NOUN
esrj-99036	122	54	)	)	PUNCT
esrj-99036	122	55	.	.	PUNCT
esrj-99036	123	1	these	these	DET
esrj-99036	123	2	results	result	NOUN
esrj-99036	123	3	are	be	AUX
esrj-99036	123	4	consistent	consistent	ADJ
esrj-99036	123	5	with	with	ADP
esrj-99036	123	6	the	the	DET
esrj-99036	123	7	historical	historical	ADJ
esrj-99036	123	8	evidence	evidence	NOUN
esrj-99036	123	9	reported	report	VERB
esrj-99036	123	10	by	by	ADP
esrj-99036	123	11	llanes	llanes	PROPN
esrj-99036	123	12	et	et	PROPN
esrj-99036	123	13	al	al	PROPN
esrj-99036	123	14	.	.	PROPN
esrj-99036	124	1	(	(	PUNCT
esrj-99036	124	2	2015	2015	NUM
esrj-99036	124	3	)	)	PUNCT
esrj-99036	124	4	,	,	PUNCT
esrj-99036	124	5	where	where	SCONJ
esrj-99036	124	6	they	they	PRON
esrj-99036	124	7	found	find	VERB
esrj-99036	124	8	a	a	DET
esrj-99036	124	9	higher	high	ADJ
esrj-99036	124	10	number	number	NOUN
esrj-99036	124	11	of	of	ADP
esrj-99036	124	12	weather	weather	NOUN
esrj-99036	124	13	stations	station	NOUN
esrj-99036	124	14	with	with	ADP
esrj-99036	124	15	negative	negative	ADJ
esrj-99036	124	16	sts	st	NOUN
esrj-99036	124	17	for	for	ADP
esrj-99036	124	18	the	the	DET
esrj-99036	124	19	minimum	minimum	ADJ
esrj-99036	124	20	temperature	temperature	NOUN
esrj-99036	124	21	in	in	ADP
esrj-99036	124	22	the	the	DET
esrj-99036	124	23	states	state	NOUN
esrj-99036	124	24	adjacent	adjacent	ADJ
esrj-99036	124	25	to	to	ADP
esrj-99036	124	26	sinaloa	sinaloa	PROPN
esrj-99036	124	27	(	(	PUNCT
esrj-99036	124	28	baja	baja	PROPN
esrj-99036	124	29	california	california	PROPN
esrj-99036	124	30	sur	sur	PROPN
esrj-99036	124	31	,	,	PUNCT
esrj-99036	124	32	durango	durango	PROPN
esrj-99036	124	33	,	,	PUNCT
esrj-99036	124	34	chihuahua	chihuahua	PROPN
esrj-99036	124	35	,	,	PUNCT
esrj-99036	124	36	and	and	CCONJ
esrj-99036	124	37	sonora	sonora	ADJ
esrj-99036	124	38	)	)	PUNCT
esrj-99036	124	39	.	.	PUNCT
esrj-99036	125	1	of	of	ADP
esrj-99036	125	2	38	38	NUM
esrj-99036	125	3	weather	weather	NOUN
esrj-99036	125	4	stations	station	NOUN
esrj-99036	125	5	studied	study	VERB
esrj-99036	125	6	,	,	PUNCT
esrj-99036	125	7	20	20	NUM
esrj-99036	125	8	showed	show	VERB
esrj-99036	125	9	negative	negative	ADJ
esrj-99036	125	10	sts	st	NOUN
esrj-99036	125	11	and	and	CCONJ
esrj-99036	125	12	18	18	NUM
esrj-99036	125	13	positive	positive	ADJ
esrj-99036	125	14	sts	st	NOUN
esrj-99036	125	15	.	.	PUNCT
esrj-99036	126	1	llanes	llanes	PROPN
esrj-99036	126	2	et	et	PROPN
esrj-99036	126	3	al	al	PROPN
esrj-99036	126	4	.	.	PROPN
esrj-99036	126	5	(	(	PUNCT
esrj-99036	126	6	2015	2015	NUM
esrj-99036	126	7	)	)	PUNCT
esrj-99036	126	8	,	,	PUNCT
esrj-99036	126	9	found	find	VERB
esrj-99036	126	10	that	that	SCONJ
esrj-99036	126	11	in	in	ADP
esrj-99036	126	12	some	some	DET
esrj-99036	126	13	stations	station	NOUN
esrj-99036	126	14	near	near	ADP
esrj-99036	126	15	the	the	DET
esrj-99036	126	16	state	state	NOUN
esrj-99036	126	17	of	of	ADP
esrj-99036	126	18	sinaloa	sinaloa	PROPN
esrj-99036	126	19	there	there	PRON
esrj-99036	126	20	are	be	VERB
esrj-99036	126	21	negative	negative	ADJ
esrj-99036	126	22	trends	trend	NOUN
esrj-99036	126	23	for	for	ADP
esrj-99036	126	24	the	the	DET
esrj-99036	126	25	minimum	minimum	ADJ
esrj-99036	126	26	and	and	CCONJ
esrj-99036	126	27	average	average	ADJ
esrj-99036	126	28	temperatures	temperature	NOUN
esrj-99036	126	29	,	,	PUNCT
esrj-99036	126	30	but	but	CCONJ
esrj-99036	126	31	not	not	PART
esrj-99036	126	32	for	for	ADP
esrj-99036	126	33	the	the	DET
esrj-99036	126	34	maximum	maximum	ADJ
esrj-99036	126	35	temperature	temperature	NOUN
esrj-99036	126	36	,	,	PUNCT
esrj-99036	126	37	which	which	PRON
esrj-99036	126	38	presents	present	VERB
esrj-99036	126	39	a	a	DET
esrj-99036	126	40	positive	positive	ADJ
esrj-99036	126	41	trend	trend	NOUN
esrj-99036	126	42	(	(	PUNCT
esrj-99036	126	43	i.e.	i.e.	X
esrj-99036	126	44	,	,	PUNCT
esrj-99036	126	45	in	in	ADP
esrj-99036	126	46	the	the	DET
esrj-99036	126	47	stations	station	NOUN
esrj-99036	126	48	puerto	puerto	PROPN
esrj-99036	126	49	san	san	PROPN
esrj-99036	126	50	carlos	carlos	PROPN
esrj-99036	126	51	,	,	PUNCT
esrj-99036	126	52	el	el	PROPN
esrj-99036	126	53	rosario	rosario	PROPN
esrj-99036	126	54	and	and	CCONJ
esrj-99036	126	55	ojito	ojito	ADJ
esrj-99036	126	56	de	de	X
esrj-99036	126	57	camellones	camellone	NOUN
esrj-99036	126	58	)	)	PUNCT
esrj-99036	126	59	,	,	PUNCT
esrj-99036	126	60	which	which	PRON
esrj-99036	126	61	can	can	AUX
esrj-99036	126	62	be	be	AUX
esrj-99036	126	63	attributed	attribute	VERB
esrj-99036	126	64	to	to	ADP
esrj-99036	126	65	the	the	DET
esrj-99036	126	66	high	high	ADJ
esrj-99036	126	67	randomness	randomness	NOUN
esrj-99036	126	68	between	between	ADP
esrj-99036	126	69	the	the	DET
esrj-99036	126	70	spatial	spatial	ADJ
esrj-99036	126	71	and	and	CCONJ
esrj-99036	126	72	temporal	temporal	ADJ
esrj-99036	126	73	influence	influence	NOUN
esrj-99036	126	74	of	of	ADP
esrj-99036	126	75	the	the	DET
esrj-99036	126	76	pacific	pacific	ADJ
esrj-99036	126	77	decadal	decadal	NOUN
esrj-99036	126	78	oscillation	oscillation	NOUN
esrj-99036	126	79	,	,	PUNCT
esrj-99036	126	80	atlantic	atlantic	ADJ
esrj-99036	126	81	multidecadal	multidecadal	ADJ
esrj-99036	126	82	oscillation	oscillation	NOUN
esrj-99036	126	83	,	,	PUNCT
esrj-99036	126	84	oceanic	oceanic	PROPN
esrj-99036	126	85	el	el	PROPN
esrj-99036	126	86	niño	niño	PROPN
esrj-99036	126	87	index	index	PROPN
esrj-99036	126	88	,	,	PUNCT
esrj-99036	126	89	north	north	PROPN
esrj-99036	126	90	atlantic	atlantic	PROPN
esrj-99036	126	91	index	index	NOUN
esrj-99036	126	92	,	,	PUNCT
esrj-99036	126	93	and	and	CCONJ
esrj-99036	126	94	geopotential	geopotential	ADJ
esrj-99036	126	95	height	height	NOUN
esrj-99036	126	96	at	at	ADP
esrj-99036	126	97	the	the	DET
esrj-99036	126	98	level	level	NOUN
esrj-99036	126	99	of	of	ADP
esrj-99036	126	100	700	700	NUM
esrj-99036	126	101	hpa	hpa	NOUN
esrj-99036	126	102	(	(	PUNCT
esrj-99036	126	103	llanes	llanes	X
esrj-99036	126	104	et	et	NOUN
esrj-99036	126	105	al	al	PROPN
esrj-99036	126	106	.	.	PROPN
esrj-99036	126	107	,	,	PUNCT
esrj-99036	126	108	2018	2018	NUM
esrj-99036	126	109	;	;	PUNCT
esrj-99036	127	1	llanes	llanes	PROPN
esrj-99036	127	2	et	et	NOUN
esrj-99036	127	3	al	al	PROPN
esrj-99036	127	4	.	.	PROPN
esrj-99036	127	5	,	,	PUNCT
esrj-99036	127	6	2020	2020	NUM
esrj-99036	127	7	;	;	PUNCT
esrj-99036	127	8	llanes	llane	NOUN
esrj-99036	127	9	,	,	PUNCT
esrj-99036	127	10	2023	2023	NUM
esrj-99036	127	11	)	)	PUNCT
esrj-99036	127	12	,	,	PUNCT
esrj-99036	127	13	and	and	CCONJ
esrj-99036	127	14	the	the	DET
esrj-99036	127	15	magnitudes	magnitude	NOUN
esrj-99036	127	16	of	of	ADP
esrj-99036	127	17	the	the	DET
esrj-99036	127	18	maximum	maximum	ADJ
esrj-99036	127	19	,	,	PUNCT
esrj-99036	127	20	minimum	minimum	ADJ
esrj-99036	127	21	and	and	CCONJ
esrj-99036	127	22	average	average	ADJ
esrj-99036	127	23	temperatures	temperature	NOUN
esrj-99036	127	24	,	,	PUNCT
esrj-99036	127	25	and	and	CCONJ
esrj-99036	127	26	the	the	DET
esrj-99036	127	27	meteorological	meteorological	ADJ
esrj-99036	127	28	droughts	drought	NOUN
esrj-99036	127	29	of	of	ADP
esrj-99036	127	30	the	the	DET
esrj-99036	127	31	northern	northern	ADJ
esrj-99036	127	32	states	state	NOUN
esrj-99036	127	33	of	of	ADP
esrj-99036	127	34	mexico	mexico	PROPN
esrj-99036	127	35	(	(	PUNCT
esrj-99036	127	36	llanes	llanes	PROPN
esrj-99036	127	37	et	et	PROPN
esrj-99036	127	38	al	al	PROPN
esrj-99036	127	39	.	.	PROPN
esrj-99036	127	40	,	,	PUNCT
esrj-99036	127	41	2018	2018	NUM
esrj-99036	127	42	)	)	PUNCT
esrj-99036	127	43	.	.	PUNCT
esrj-99036	128	1	the	the	DET
esrj-99036	128	2	difference	difference	NOUN
esrj-99036	128	3	between	between	ADP
esrj-99036	128	4	figures	figure	NOUN
esrj-99036	128	5	2	2	NUM
esrj-99036	128	6	and	and	CCONJ
esrj-99036	128	7	3	3	NUM
esrj-99036	128	8	is	be	AUX
esrj-99036	128	9	that	that	DET
esrj-99036	128	10	figure	figure	NOUN
esrj-99036	128	11	2	2	NUM
esrj-99036	128	12	only	only	ADV
esrj-99036	128	13	identifies	identifie	NOUN
esrj-99036	128	14	which	which	DET
esrj-99036	128	15	indicators	indicator	NOUN
esrj-99036	128	16	are	be	AUX
esrj-99036	128	17	statistically	statistically	ADV
esrj-99036	128	18	significant	significant	ADJ
esrj-99036	128	19	and	and	CCONJ
esrj-99036	128	20	figure	figure	VERB
esrj-99036	128	21	3	3	NUM
esrj-99036	128	22	shows	show	VERB
esrj-99036	128	23	the	the	DET
esrj-99036	128	24	amount	amount	NOUN
esrj-99036	128	25	of	of	ADP
esrj-99036	128	26	significant	significant	ADJ
esrj-99036	128	27	trend	trend	NOUN
esrj-99036	128	28	.	.	PUNCT
esrj-99036	129	1	statistical	statistical	ADJ
esrj-99036	129	2	analysis	analysis	NOUN
esrj-99036	129	3	of	of	ADP
esrj-99036	129	4	the	the	DET
esrj-99036	129	5	fitted	fit	VERB
esrj-99036	129	6	probability	probability	NOUN
esrj-99036	129	7	distribution	distribution	NOUN
esrj-99036	129	8	functions	function	NOUN
esrj-99036	129	9	table	table	NOUN
esrj-99036	129	10	2	2	NUM
esrj-99036	129	11	shows	show	VERB
esrj-99036	129	12	the	the	DET
esrj-99036	129	13	p	p	NOUN
esrj-99036	129	14	-	-	PUNCT
esrj-99036	129	15	values	value	NOUN
esrj-99036	129	16	of	of	ADP
esrj-99036	129	17	the	the	DET
esrj-99036	129	18	fitted	fit	VERB
esrj-99036	129	19	probability	probability	NOUN
esrj-99036	129	20	distribution	distribution	NOUN
esrj-99036	129	21	functions	function	NOUN
esrj-99036	129	22	,	,	PUNCT
esrj-99036	129	23	where	where	SCONJ
esrj-99036	129	24	the	the	DET
esrj-99036	129	25	maximum	maximum	ADJ
esrj-99036	129	26	values	value	NOUN
esrj-99036	129	27	correspond	correspond	VERB
esrj-99036	129	28	to	to	ADP
esrj-99036	129	29	the	the	DET
esrj-99036	129	30	log	log	NOUN
esrj-99036	129	31	,	,	PUNCT
esrj-99036	129	32	gev	gev	NOUN
esrj-99036	129	33	and	and	CCONJ
esrj-99036	129	34	lognormal	lognormal	ADJ
esrj-99036	129	35	functions	function	NOUN
esrj-99036	129	36	.	.	PUNCT
esrj-99036	130	1	the	the	DET
esrj-99036	130	2	highest	high	ADJ
esrj-99036	130	3	p	p	NOUN
esrj-99036	130	4	-	-	PUNCT
esrj-99036	130	5	values	value	NOUN
esrj-99036	130	6	of	of	ADP
esrj-99036	130	7	the	the	DET
esrj-99036	130	8	met	meet	VERB
esrj-99036	130	9	indicators	indicator	NOUN
esrj-99036	130	10	were	be	AUX
esrj-99036	130	11	fr	fr	PROPN
esrj-99036	130	12	(	(	PUNCT
esrj-99036	130	13	log	log	NOUN
esrj-99036	130	14	,	,	PUNCT
esrj-99036	130	15	p=0.9944	p=0.9944	NOUN
esrj-99036	130	16	)	)	PUNCT
esrj-99036	130	17	,	,	PUNCT
esrj-99036	130	18	aad	aad	INTJ
esrj-99036	130	19	(	(	PUNCT
esrj-99036	130	20	gev	gev	PROPN
esrj-99036	130	21	,	,	PUNCT
esrj-99036	130	22	p=0.9795	p=0.9795	PROPN
esrj-99036	130	23	)	)	PUNCT
esrj-99036	130	24	,	,	PUNCT
esrj-99036	130	25	add	add	VERB
esrj-99036	130	26	(	(	PUNCT
esrj-99036	130	27	log	log	NOUN
esrj-99036	130	28	,	,	PUNCT
esrj-99036	130	29	p=0.9728	p=0.9728	PROPN
esrj-99036	130	30	)	)	PUNCT
esrj-99036	130	31	,	,	PUNCT
esrj-99036	130	32	in	in	ADP
esrj-99036	130	33	(	(	PUNCT
esrj-99036	130	34	lognormal	lognormal	ADJ
esrj-99036	130	35	,	,	PUNCT
esrj-99036	130	36	p=0.9517	p=0.9517	PROPN
esrj-99036	130	37	and	and	CCONJ
esrj-99036	130	38	mmt	mmt	PROPN
esrj-99036	130	39	(	(	PUNCT
esrj-99036	130	40	log	log	NOUN
esrj-99036	130	41	,	,	PUNCT
esrj-99036	130	42	p=0.9088	p=0.9088	PROPN
esrj-99036	130	43	)	)	PUNCT
esrj-99036	130	44	.	.	PUNCT
esrj-99036	131	1	the	the	DET
esrj-99036	131	2	lowest	low	ADJ
esrj-99036	131	3	p	p	NOUN
esrj-99036	131	4	-	-	PUNCT
esrj-99036	131	5	values	value	NOUN
esrj-99036	131	6	(	(	PUNCT
esrj-99036	131	7	p	p	X
esrj-99036	131	8	<	<	X
esrj-99036	131	9	0.00001	0.00001	NUM
esrj-99036	131	10	)	)	PUNCT
esrj-99036	131	11	corresponded	correspond	VERB
esrj-99036	131	12	to	to	ADP
esrj-99036	131	13	the	the	DET
esrj-99036	131	14	fitted	fit	VERB
esrj-99036	131	15	probability	probability	NOUN
esrj-99036	131	16	distribution	distribution	NOUN
esrj-99036	131	17	functions	function	NOUN
esrj-99036	131	18	erlang	erlang	PROPN
esrj-99036	131	19	,	,	PUNCT
esrj-99036	131	20	fisher	fisher	PROPN
esrj-99036	131	21	-	-	PUNCT
esrj-99036	131	22	tippett	tippett	PROPN
esrj-99036	131	23	(	(	PUNCT
esrj-99036	131	24	1	1	NUM
esrj-99036	131	25	)	)	PUNCT
esrj-99036	131	26	,	,	PUNCT
esrj-99036	131	27	gumbel	gumbel	NOUN
esrj-99036	131	28	,	,	PUNCT
esrj-99036	131	29	normal	normal	ADJ
esrj-99036	131	30	-	-	PUNCT
esrj-99036	131	31	standard	standard	ADJ
esrj-99036	131	32	,	,	PUNCT
esrj-99036	131	33	student	student	NOUN
esrj-99036	131	34	and	and	CCONJ
esrj-99036	131	35	weibull	weibull	PROPN
esrj-99036	131	36	(	(	PUNCT
esrj-99036	131	37	1	1	NUM
esrj-99036	131	38	)	)	PUNCT
esrj-99036	131	39	.	.	PUNCT
esrj-99036	132	1	if	if	SCONJ
esrj-99036	132	2	the	the	DET
esrj-99036	132	3	log	log	NOUN
esrj-99036	132	4	function	function	NOUN
esrj-99036	132	5	were	be	AUX
esrj-99036	132	6	chosen	choose	VERB
esrj-99036	132	7	for	for	ADP
esrj-99036	132	8	all	all	DET
esrj-99036	132	9	the	the	DET
esrj-99036	132	10	indicators	indicator	NOUN
esrj-99036	132	11	(	(	PUNCT
esrj-99036	132	12	fr	fr	ADV
esrj-99036	132	13	,	,	PUNCT
esrj-99036	132	14	aad	aad	INTJ
esrj-99036	132	15	,	,	PUNCT
esrj-99036	132	16	add	add	VERB
esrj-99036	132	17	,	,	PUNCT
esrj-99036	132	18	in	in	ADP
esrj-99036	132	19	and	and	CCONJ
esrj-99036	132	20	mmt	mmt	NUM
esrj-99036	132	21	)	)	PUNCT
esrj-99036	132	22	,	,	PUNCT
esrj-99036	132	23	then	then	ADV
esrj-99036	132	24	even	even	ADV
esrj-99036	132	25	the	the	DET
esrj-99036	132	26	indicators	indicator	NOUN
esrj-99036	132	27	aad	aad	INTJ
esrj-99036	132	28	and	and	CCONJ
esrj-99036	132	29	in	in	ADP
esrj-99036	132	30	(	(	PUNCT
esrj-99036	132	31	which	which	PRON
esrj-99036	132	32	do	do	AUX
esrj-99036	132	33	not	not	PART
esrj-99036	132	34	present	present	VERB
esrj-99036	132	35	large	large	ADJ
esrj-99036	132	36	p	p	NOUN
esrj-99036	132	37	-	-	PUNCT
esrj-99036	132	38	values	value	NOUN
esrj-99036	132	39	)	)	PUNCT
esrj-99036	132	40	can	can	AUX
esrj-99036	132	41	show	show	VERB
esrj-99036	132	42	good	good	ADJ
esrj-99036	132	43	fit	fit	NOUN
esrj-99036	132	44	(	(	PUNCT
esrj-99036	132	45	p	p	NOUN
esrj-99036	132	46	=	=	NOUN
esrj-99036	132	47	0.9573	0.9573	NUM
esrj-99036	132	48	and	and	CCONJ
esrj-99036	132	49	p	p	NOUN
esrj-99036	132	50	=	=	NOUN
esrj-99036	132	51	0.9070	0.9070	NUM
esrj-99036	132	52	respectively	respectively	ADV
esrj-99036	132	53	)	)	PUNCT
esrj-99036	132	54	.	.	PUNCT
esrj-99036	133	1	table	table	NOUN
esrj-99036	133	2	2	2	NUM
esrj-99036	133	3	.	.	X
esrj-99036	134	1	p	p	X
esrj-99036	134	2	-	-	PUNCT
esrj-99036	134	3	values	value	NOUN
esrj-99036	134	4	for	for	ADP
esrj-99036	134	5	the	the	DET
esrj-99036	134	6	fitted	fit	VERB
esrj-99036	134	7	probability	probability	NOUN
esrj-99036	134	8	distribution	distribution	NOUN
esrj-99036	134	9	functions	function	NOUN
esrj-99036	134	10	of	of	ADP
esrj-99036	134	11	met	meet	VERB
esrj-99036	134	12	.	.	PUNCT
esrj-99036	135	1	probability	probability	NOUN
esrj-99036	135	2	distribution	distribution	NOUN
esrj-99036	135	3	function	function	NOUN
esrj-99036	135	4	p	p	NOUN
esrj-99036	135	5	–	–	PUNCT
esrj-99036	135	6	values	value	NOUN
esrj-99036	135	7	(	(	PUNCT
esrj-99036	135	8	fitted	fit	VERB
esrj-99036	135	9	probability	probability	NOUN
esrj-99036	135	10	distribution	distribution	NOUN
esrj-99036	135	11	functions	function	NOUN
esrj-99036	135	12	)	)	PUNCT
esrj-99036	135	13	=	=	SYM
esrj-99036	135	14	bold	bold	ADJ
esrj-99036	135	15	(	(	PUNCT
esrj-99036	135	16	dimensionless	dimensionless	NOUN
esrj-99036	135	17	)	)	PUNCT
esrj-99036	135	18	fr	fr	NOUN
esrj-99036	135	19	aad	aad	INTJ
esrj-99036	135	20	add	add	VERB
esrj-99036	135	21	in	in	ADP
esrj-99036	135	22	mmt	mmt	PROPN
esrj-99036	135	23	beta4	beta4	NOUN
esrj-99036	135	24	0.0679	0.0679	NUM
esrj-99036	135	25	0.6054	0.6054	NUM
esrj-99036	135	26	0.0562	0.0562	NUM
esrj-99036	135	27	0.8202	0.8202	NUM
esrj-99036	135	28	0.3280	0.3280	NUM
esrj-99036	135	29	chi	chi	ADJ
esrj-99036	135	30	-	-	PUNCT
esrj-99036	135	31	square	square	ADJ
esrj-99036	135	32	0.0095	0.0095	NUM
esrj-99036	135	33	0.0015	0.0015	NUM
esrj-99036	135	34	0.7976	0.7976	NUM
esrj-99036	135	35	0.5283	0.5283	NUM
esrj-99036	135	36	<	<	X
esrj-99036	135	37	0.0001	0.0001	NUM
esrj-99036	135	38	erlang	erlang	NOUN
esrj-99036	135	39	<	<	X
esrj-99036	135	40	0.0001	0.0001	NUM
esrj-99036	135	41	<	<	X
esrj-99036	135	42	0.0001	0.0001	NUM
esrj-99036	135	43	<	<	X
esrj-99036	135	44	0.0001	0.0001	NUM
esrj-99036	135	45	<	<	X
esrj-99036	135	46	0.0001	0.0001	NUM
esrj-99036	135	47	<	<	X
esrj-99036	135	48	0.0001	0.0001	NUM
esrj-99036	135	49	exponential	exponential	NOUN
esrj-99036	135	50	0.0008	0.0008	NUM
esrj-99036	135	51	<	<	X
esrj-99036	135	52	0.0001	0.0001	NUM
esrj-99036	135	53	0.0041	0.0041	NUM
esrj-99036	135	54	<	<	X
esrj-99036	135	55	0.0001	0.0001	NUM
esrj-99036	135	56	<	<	X
esrj-99036	135	57	0.0001	0.0001	NUM
esrj-99036	135	58	fisher	fisher	PROPN
esrj-99036	135	59	-	-	PUNCT
esrj-99036	135	60	tippett	tippett	PROPN
esrj-99036	135	61	(	(	PUNCT
esrj-99036	135	62	1	1	NUM
esrj-99036	135	63	)	)	PUNCT
esrj-99036	135	64	<	<	X
esrj-99036	136	1	0.0001	0.0001	NUM
esrj-99036	136	2	<	<	X
esrj-99036	136	3	0.0001	0.0001	NUM
esrj-99036	136	4	<	<	X
esrj-99036	136	5	0.0001	0.0001	NUM
esrj-99036	136	6	<	<	X
esrj-99036	136	7	0.0001	0.0001	NUM
esrj-99036	136	8	<	<	NOUN
esrj-99036	136	9	0.0001	0.0001	NUM
esrj-99036	136	10	fisher	fisher	PROPN
esrj-99036	136	11	-	-	PUNCT
esrj-99036	136	12	tippett	tippett	PROPN
esrj-99036	136	13	(	(	PUNCT
esrj-99036	136	14	2	2	NUM
esrj-99036	136	15	)	)	PUNCT
esrj-99036	136	16	0.8579	0.8579	NUM
esrj-99036	136	17	0.8430	0.8430	NUM
esrj-99036	136	18	0.5771	0.5771	NUM
esrj-99036	136	19	0.2979	0.2979	NUM
esrj-99036	136	20	0.0890	0.0890	NUM
esrj-99036	136	21	generalized	generalized	ADJ
esrj-99036	136	22	extremes	extreme	NOUN
esrj-99036	136	23	values	value	NOUN
esrj-99036	136	24	(	(	PUNCT
esrj-99036	136	25	gev	gev	NOUN
esrj-99036	136	26	)	)	PUNCT
esrj-99036	136	27	0.9624	0.9624	NUM
esrj-99036	136	28	0.9795	0.9795	NUM
esrj-99036	136	29	0.8508	0.8508	NUM
esrj-99036	136	30	0.8664	0.8664	NUM
esrj-99036	136	31	0.7429	0.7429	ADJ
esrj-99036	136	32	gumbel	gumbel	NOUN
esrj-99036	136	33	<	<	X
esrj-99036	136	34	0.0001	0.0001	NUM
esrj-99036	136	35	<	<	X
esrj-99036	136	36	0.0001	0.0001	NUM
esrj-99036	136	37	<	<	X
esrj-99036	136	38	0.0001	0.0001	NUM
esrj-99036	136	39	<	<	X
esrj-99036	136	40	0.0001	0.0001	NUM
esrj-99036	136	41	<	<	X
esrj-99036	136	42	0.0001	0.0001	NUM
esrj-99036	136	43	log	log	NOUN
esrj-99036	136	44	–	–	PUNCT
esrj-99036	136	45	normal	normal	ADJ
esrj-99036	136	46	(	(	PUNCT
esrj-99036	136	47	lognormal	lognormal	ADJ
esrj-99036	136	48	)	)	PUNCT
esrj-99036	136	49	0.9390	0.9390	NUM
esrj-99036	136	50	0.9793	0.9793	NUM
esrj-99036	136	51	0.7933	0.7933	NUM
esrj-99036	136	52	0.9517	0.9517	NUM
esrj-99036	136	53	0.8187	0.8187	NUM
esrj-99036	136	54	logarithmic	logarithmic	ADJ
esrj-99036	136	55	(	(	PUNCT
esrj-99036	136	56	log	log	NOUN
esrj-99036	136	57	)	)	PUNCT
esrj-99036	136	58	0.9944	0.9944	NUM
esrj-99036	136	59	0.9573	0.9573	NUM
esrj-99036	136	60	0.9728	0.9728	NUM
esrj-99036	136	61	0.9070	0.9070	NUM
esrj-99036	136	62	0.9088	0.9088	NUM
esrj-99036	136	63	normal	normal	ADJ
esrj-99036	136	64	0.4472	0.4472	NUM
esrj-99036	136	65	0.6742	0.6742	NUM
esrj-99036	136	66	0.3552	0.3552	NUM
esrj-99036	136	67	0.9395	0.9395	NUM
esrj-99036	136	68	0.8425	0.8425	NUM
esrj-99036	136	69	normal	normal	ADJ
esrj-99036	136	70	-	-	PUNCT
esrj-99036	136	71	standard	standard	NOUN
esrj-99036	136	72	<	<	X
esrj-99036	136	73	0.0001	0.0001	NUM
esrj-99036	136	74	<	<	X
esrj-99036	136	75	0.0001	0.0001	NUM
esrj-99036	136	76	<	<	X
esrj-99036	136	77	0.0001	0.0001	NUM
esrj-99036	136	78	<	<	X
esrj-99036	136	79	0.0001	0.0001	NUM
esrj-99036	136	80	<	<	X
esrj-99036	136	81	0.0001	0.0001	NUM
esrj-99036	136	82	student	student	NOUN
esrj-99036	136	83	<	<	X
esrj-99036	136	84	0.0001	0.0001	NUM
esrj-99036	136	85	<	<	X
esrj-99036	136	86	0.0001	0.0001	NUM
esrj-99036	136	87	<	<	X
esrj-99036	136	88	0.0001	0.0001	NUM
esrj-99036	136	89	<	<	X
esrj-99036	136	90	0.0001	0.0001	NUM
esrj-99036	136	91	<	<	X
esrj-99036	136	92	0.0001	0.0001	NUM
esrj-99036	136	93	weibull	weibull	NOUN
esrj-99036	136	94	(	(	PUNCT
esrj-99036	136	95	1	1	NUM
esrj-99036	136	96	)	)	PUNCT
esrj-99036	136	97	<	<	X
esrj-99036	136	98	0.0001	0.0001	NUM
esrj-99036	136	99	<	<	X
esrj-99036	136	100	0.0001	0.0001	NUM
esrj-99036	136	101	<	<	X
esrj-99036	136	102	0.0001	0.0001	NUM
esrj-99036	136	103	<	<	X
esrj-99036	136	104	0.0001	0.0001	NUM
esrj-99036	136	105	<	<	X
esrj-99036	136	106	0.0001	0.0001	NUM
esrj-99036	136	107	weibull	weibull	NOUN
esrj-99036	136	108	(	(	PUNCT
esrj-99036	136	109	2	2	NUM
esrj-99036	136	110	)	)	PUNCT
esrj-99036	136	111	0.4857	0.4857	NUM
esrj-99036	136	112	0.6088	0.6088	NUM
esrj-99036	136	113	0.4564	0.4564	NUM
esrj-99036	136	114	0.8664	0.8664	NUM
esrj-99036	136	115	0.5282	0.5282	NUM
esrj-99036	136	116	weibull	weibull	NOUN
esrj-99036	136	117	(	(	PUNCT
esrj-99036	136	118	3	3	NUM
esrj-99036	136	119	)	)	PUNCT
esrj-99036	136	120	0.7512	0.7512	NUM
esrj-99036	136	121	0.8860	0.8860	NUM
esrj-99036	136	122	0.5856	0.5856	NUM
esrj-99036	136	123	0.9207	0.9207	NUM
esrj-99036	136	124	0.8096	0.8096	NUM
esrj-99036	136	125	fr	fr	ADJ
esrj-99036	136	126	–	–	PUNCT
esrj-99036	136	127	frequency	frequency	NOUN
esrj-99036	136	128	,	,	PUNCT
esrj-99036	136	129	aad	aad	INTJ
esrj-99036	136	130	–	–	PUNCT
esrj-99036	136	131	annual	annual	ADJ
esrj-99036	136	132	average	average	ADJ
esrj-99036	136	133	duration	duration	NOUN
esrj-99036	136	134	,	,	PUNCT
esrj-99036	136	135	add	add	VERB
esrj-99036	136	136	–	–	PUNCT
esrj-99036	136	137	annual	annual	ADJ
esrj-99036	136	138	daily	daily	ADJ
esrj-99036	136	139	duration	duration	NOUN
esrj-99036	136	140	,	,	PUNCT
esrj-99036	136	141	i	i	PRON
esrj-99036	136	142	–	–	PUNCT
esrj-99036	136	143	intensity	intensity	NOUN
esrj-99036	136	144	,	,	PUNCT
esrj-99036	136	145	mmt	mmt	PROPN
esrj-99036	136	146	–	–	PUNCT
esrj-99036	136	147	maximum	maximum	ADJ
esrj-99036	136	148	maximorum	maximorum	NOUN
esrj-99036	136	149	temperature	temperature	NOUN
esrj-99036	136	150	and	and	CCONJ
esrj-99036	136	151	(	(	PUNCT
esrj-99036	136	152	boxed	boxed	ADJ
esrj-99036	136	153	and	and	CCONJ
esrj-99036	136	154	bold)–fitted	bold)–fitted	ADJ
esrj-99036	136	155	probability	probability	NOUN
esrj-99036	136	156	distribution	distribution	NOUN
esrj-99036	136	157	functions	function	NOUN
esrj-99036	136	158	.	.	PUNCT
esrj-99036	137	1	source	source	NOUN
esrj-99036	137	2	:	:	PUNCT
esrj-99036	137	3	llanes	llanes	PROPN
esrj-99036	137	4	et	et	PROPN
esrj-99036	137	5	al	al	PROPN
esrj-99036	137	6	.	.	PROPN
esrj-99036	138	1	(	(	PUNCT
esrj-99036	138	2	2021	2021	NUM
esrj-99036	138	3	)	)	PUNCT
esrj-99036	138	4	81calculation	81calculation	NOUN
esrj-99036	138	5	of	of	ADP
esrj-99036	138	6	indicators	indicator	NOUN
esrj-99036	138	7	of	of	ADP
esrj-99036	138	8	maximum	maximum	ADJ
esrj-99036	138	9	extreme	extreme	ADJ
esrj-99036	138	10	temperature	temperature	NOUN
esrj-99036	138	11	in	in	ADP
esrj-99036	138	12	sinaloa	sinaloa	PROPN
esrj-99036	138	13	state	state	PROPN
esrj-99036	138	14	,	,	PUNCT
esrj-99036	138	15	northwestern	northwestern	PROPN
esrj-99036	138	16	mexico	mexico	PROPN
esrj-99036	138	17	these	these	DET
esrj-99036	138	18	results	result	NOUN
esrj-99036	138	19	are	be	AUX
esrj-99036	138	20	in	in	ADP
esrj-99036	138	21	agreement	agreement	NOUN
esrj-99036	138	22	with	with	ADP
esrj-99036	138	23	aguilera	aguilera	PROPN
esrj-99036	138	24	(	(	PUNCT
esrj-99036	138	25	2007	2007	NUM
esrj-99036	138	26	)	)	PUNCT
esrj-99036	138	27	and	and	CCONJ
esrj-99036	138	28	with	with	ADP
esrj-99036	138	29	papacharalampous	papacharalampous	ADJ
esrj-99036	138	30	et	et	PROPN
esrj-99036	138	31	al	al	PROPN
esrj-99036	138	32	.	.	PROPN
esrj-99036	139	1	(	(	PUNCT
esrj-99036	139	2	2018	2018	NUM
esrj-99036	139	3	)	)	PUNCT
esrj-99036	139	4	,	,	PUNCT
esrj-99036	139	5	who	who	PRON
esrj-99036	139	6	states	state	VERB
esrj-99036	139	7	that	that	SCONJ
esrj-99036	139	8	hydroclimatological	hydroclimatological	ADJ
esrj-99036	139	9	data	datum	NOUN
esrj-99036	139	10	are	be	AUX
esrj-99036	139	11	rarely	rarely	ADV
esrj-99036	139	12	normally	normally	ADV
esrj-99036	139	13	distributed	distribute	VERB
esrj-99036	139	14	;	;	PUNCT
esrj-99036	139	15	met	meet	VERB
esrj-99036	139	16	indicators	indicator	NOUN
esrj-99036	139	17	theoretically	theoretically	ADV
esrj-99036	139	18	fit	fit	ADJ
esrj-99036	139	19	distributions	distribution	NOUN
esrj-99036	139	20	that	that	PRON
esrj-99036	139	21	represent	represent	VERB
esrj-99036	139	22	seasonal	seasonal	ADJ
esrj-99036	139	23	extreme	extreme	ADJ
esrj-99036	139	24	values	value	NOUN
esrj-99036	139	25	(	(	PUNCT
esrj-99036	139	26	linsley	linsley	PROPN
esrj-99036	139	27	et	et	PROPN
esrj-99036	139	28	al	al	PROPN
esrj-99036	139	29	.	.	PROPN
esrj-99036	139	30	,	,	PUNCT
esrj-99036	139	31	1977	1977	NUM
esrj-99036	139	32	;	;	PUNCT
esrj-99036	139	33	pliego	pliego	PROPN
esrj-99036	139	34	&	&	CCONJ
esrj-99036	139	35	ruiz	ruiz	PROPN
esrj-99036	139	36	2004	2004	NUM
esrj-99036	139	37	;	;	PUNCT
esrj-99036	139	38	campos	campos	PROPN
esrj-99036	139	39	2014	2014	NUM
esrj-99036	139	40	;	;	PUNCT
esrj-99036	139	41	wang	wang	PROPN
esrj-99036	139	42	et	et	PROPN
esrj-99036	139	43	al	al	PROPN
esrj-99036	139	44	.	.	PROPN
esrj-99036	139	45	,	,	PUNCT
esrj-99036	139	46	2016	2016	NUM
esrj-99036	139	47	;	;	PUNCT
esrj-99036	139	48	alghamdi	alghamdi	PROPN
esrj-99036	139	49	&	&	CCONJ
esrj-99036	139	50	harrington	harrington	PROPN
esrj-99036	139	51	,	,	PUNCT
esrj-99036	139	52	2019	2019	NUM
esrj-99036	139	53	)	)	PUNCT
esrj-99036	139	54	.	.	PUNCT
esrj-99036	140	1	adjusted	adjust	VERB
esrj-99036	140	2	return	return	NOUN
esrj-99036	140	3	periods	period	NOUN
esrj-99036	140	4	table	table	NOUN
esrj-99036	140	5	3	3	NUM
esrj-99036	140	6	shows	show	VERB
esrj-99036	140	7	the	the	DET
esrj-99036	140	8	magnitudes	magnitude	NOUN
esrj-99036	140	9	of	of	ADP
esrj-99036	140	10	the	the	DET
esrj-99036	140	11	shape	shape	NOUN
esrj-99036	140	12	,	,	PUNCT
esrj-99036	140	13	scale	scale	NOUN
esrj-99036	140	14	and	and	CCONJ
esrj-99036	140	15	location	location	NOUN
esrj-99036	140	16	parameters	parameter	NOUN
esrj-99036	140	17	of	of	ADP
esrj-99036	140	18	the	the	DET
esrj-99036	140	19	fitted	fit	VERB
esrj-99036	140	20	probability	probability	NOUN
esrj-99036	140	21	distribution	distribution	NOUN
esrj-99036	140	22	functions	function	NOUN
esrj-99036	140	23	used	use	VERB
esrj-99036	140	24	to	to	PART
esrj-99036	140	25	calculate	calculate	VERB
esrj-99036	140	26	the	the	DET
esrj-99036	140	27	adjusted	adjust	VERB
esrj-99036	140	28	return	return	NOUN
esrj-99036	140	29	periods	period	NOUN
esrj-99036	140	30	(	(	PUNCT
esrj-99036	140	31	arps	arps	PROPN
esrj-99036	140	32	)	)	PUNCT
esrj-99036	140	33	.	.	PUNCT
esrj-99036	141	1	these	these	DET
esrj-99036	141	2	parameters	parameter	NOUN
esrj-99036	141	3	,	,	PUNCT
esrj-99036	141	4	based	base	VERB
esrj-99036	141	5	on	on	ADP
esrj-99036	141	6	the	the	DET
esrj-99036	141	7	average	average	ADJ
esrj-99036	141	8	values	value	NOUN
esrj-99036	141	9	of	of	ADP
esrj-99036	141	10	met	meet	VERB
esrj-99036	141	11	,	,	PUNCT
esrj-99036	141	12	are	be	AUX
esrj-99036	141	13	shown	show	VERB
esrj-99036	141	14	in	in	ADP
esrj-99036	141	15	figure	figure	NOUN
esrj-99036	141	16	4	4	NUM
esrj-99036	141	17	for	for	ADP
esrj-99036	141	18	the	the	DET
esrj-99036	141	19	ranges	range	NOUN
esrj-99036	141	20	fr	fr	PROPN
esrj-99036	141	21	,	,	PUNCT
esrj-99036	141	22	1.07	1.07	NUM
esrj-99036	141	23	to	to	ADP
esrj-99036	141	24	377.84	377.84	NUM
esrj-99036	141	25	years	year	NOUN
esrj-99036	141	26	;	;	PUNCT
esrj-99036	141	27	aad	aad	INTJ
esrj-99036	141	28	,	,	PUNCT
esrj-99036	141	29	1.03	1.03	NUM
esrj-99036	141	30	to	to	ADP
esrj-99036	141	31	24.88	24.88	NUM
esrj-99036	141	32	years	year	NOUN
esrj-99036	141	33	,	,	PUNCT
esrj-99036	141	34	add	add	VERB
esrj-99036	141	35	1.06	1.06	NUM
esrj-99036	141	36	to	to	ADP
esrj-99036	141	37	816.94	816.94	NUM
esrj-99036	141	38	years	year	NOUN
esrj-99036	141	39	,	,	PUNCT
esrj-99036	141	40	in	in	ADP
esrj-99036	141	41	,	,	PUNCT
esrj-99036	141	42	1.02	1.02	NUM
esrj-99036	141	43	to	to	PART
esrj-99036	141	44	16.59	16.59	NUM
esrj-99036	141	45	years	year	NOUN
esrj-99036	141	46	;	;	PUNCT
esrj-99036	141	47	and	and	CCONJ
esrj-99036	141	48	mmt	mmt	NOUN
esrj-99036	141	49	,	,	PUNCT
esrj-99036	141	50	1.03	1.03	NUM
esrj-99036	141	51	to	to	ADP
esrj-99036	141	52	118.15	118.15	NUM
esrj-99036	141	53	years	year	NOUN
esrj-99036	141	54	.	.	PUNCT
esrj-99036	142	1	table	table	NOUN
esrj-99036	142	2	3	3	NUM
esrj-99036	142	3	.	.	PUNCT
esrj-99036	142	4	location	location	NOUN
esrj-99036	142	5	,	,	PUNCT
esrj-99036	142	6	scale	scale	NOUN
esrj-99036	142	7	,	,	PUNCT
esrj-99036	142	8	and	and	CCONJ
esrj-99036	142	9	shape	shape	NOUN
esrj-99036	142	10	parameters	parameter	NOUN
esrj-99036	142	11	of	of	ADP
esrj-99036	142	12	the	the	DET
esrj-99036	142	13	fitted	fit	VERB
esrj-99036	142	14	probability	probability	NOUN
esrj-99036	142	15	distribution	distribution	NOUN
esrj-99036	142	16	functions	function	NOUN
esrj-99036	142	17	.	.	PUNCT
esrj-99036	143	1	met	meet	VERB
esrj-99036	143	2	indicator	indicator	NOUN
esrj-99036	143	3	log	log	PROPN
esrj-99036	143	4	lognormal	lognormal	PROPN
esrj-99036	143	5	gev	gev	PROPN
esrj-99036	143	6	µ	µ	X
esrj-99036	143	7	σ	σ	X
esrj-99036	143	8	µ	µ	PROPN
esrj-99036	143	9	σ	σ	X
esrj-99036	143	10	k	k	PROPN
esrj-99036	143	11	β	β	X
esrj-99036	143	12	µ	µ	X
esrj-99036	143	13	fr	fr	PROPN
esrj-99036	143	14	2.6633	2.6633	NUM
esrj-99036	143	15	0.5803	0.5803	NUM
esrj-99036	143	16	aad	aad	NOUN
esrj-99036	143	17	0.0581	0.0581	NUM
esrj-99036	143	18	0.9286	0.9286	NUM
esrj-99036	143	19	3.3820	3.3820	NUM
esrj-99036	143	20	add	add	VERB
esrj-99036	143	21	14.2118	14.2118	NUM
esrj-99036	143	22	3.6502	3.6502	NUM
esrj-99036	143	23	in	in	ADP
esrj-99036	143	24	3.3935	3.3935	NUM
esrj-99036	143	25	0.1753	0.1753	NUM
esrj-99036	143	26	mmt	mmt	NUM
esrj-99036	143	27	40.3902	40.3902	NUM
esrj-99036	143	28	0.3269	0.3269	NUM
esrj-99036	143	29	met	meet	VERB
esrj-99036	143	30	–	–	PUNCT
esrj-99036	143	31	maximum	maximum	ADJ
esrj-99036	143	32	extreme	extreme	ADJ
esrj-99036	143	33	temperature	temperature	NOUN
esrj-99036	143	34	,	,	PUNCT
esrj-99036	143	35	fr	fr	ADJ
esrj-99036	143	36	–	–	PUNCT
esrj-99036	143	37	frequency	frequency	NOUN
esrj-99036	143	38	,	,	PUNCT
esrj-99036	143	39	aad	aad	INTJ
esrj-99036	143	40	–	–	PUNCT
esrj-99036	143	41	annual	annual	ADJ
esrj-99036	143	42	average	average	ADJ
esrj-99036	143	43	duration	duration	NOUN
esrj-99036	143	44	,	,	PUNCT
esrj-99036	143	45	add	add	VERB
esrj-99036	143	46	–	–	PUNCT
esrj-99036	143	47	annual	annual	ADJ
esrj-99036	143	48	daily	daily	ADJ
esrj-99036	143	49	duration	duration	NOUN
esrj-99036	143	50	,	,	PUNCT
esrj-99036	143	51	i	i	PRON
esrj-99036	143	52	–	–	PUNCT
esrj-99036	143	53	intensity	intensity	NOUN
esrj-99036	143	54	,	,	PUNCT
esrj-99036	143	55	mmt	mmt	PROPN
esrj-99036	143	56	–	–	PUNCT
esrj-99036	143	57	maximum	maximum	ADJ
esrj-99036	143	58	maximorum	maximorum	NOUN
esrj-99036	143	59	temperature	temperature	NOUN
esrj-99036	143	60	,	,	PUNCT
esrj-99036	143	61	log	log	NOUN
esrj-99036	143	62	–	–	PUNCT
esrj-99036	143	63	logarithmic	logarithmic	ADJ
esrj-99036	143	64	,	,	PUNCT
esrj-99036	143	65	lognormal	lognormal	ADJ
esrj-99036	143	66	–	–	PUNCT
esrj-99036	143	67	log	log	NOUN
esrj-99036	143	68	–	–	PUNCT
esrj-99036	143	69	normal	normal	ADJ
esrj-99036	143	70	,	,	PUNCT
esrj-99036	143	71	gev	gev	PROPN
esrj-99036	143	72	–	–	PUNCT
esrj-99036	143	73	generalized	generalized	ADJ
esrj-99036	143	74	extreme	extreme	ADJ
esrj-99036	143	75	values	value	NOUN
esrj-99036	143	76	,	,	PUNCT
esrj-99036	143	77	µ–location	µ–location	NOUN
esrj-99036	143	78	,	,	PUNCT
esrj-99036	143	79	σ	σ	NOUN
esrj-99036	143	80	–	–	PUNCT
esrj-99036	143	81	scale	scale	NOUN
esrj-99036	143	82	,	,	PUNCT
esrj-99036	143	83	k	k	NOUN
esrj-99036	143	84	–	–	PUNCT
esrj-99036	143	85	shape	shape	NOUN
esrj-99036	143	86	and	and	CCONJ
esrj-99036	143	87	β	β	NOUN
esrj-99036	143	88	–	–	NOUN
esrj-99036	143	89	scale	scale	NOUN
esrj-99036	143	90	.	.	PUNCT
esrj-99036	144	1	source	source	NOUN
esrj-99036	144	2	:	:	PUNCT
esrj-99036	144	3	llanes	llanes	PROPN
esrj-99036	144	4	et	et	PROPN
esrj-99036	144	5	al	al	PROPN
esrj-99036	144	6	.	.	PROPN
esrj-99036	145	1	(	(	PUNCT
esrj-99036	145	2	2021	2021	NUM
esrj-99036	145	3	)	)	PUNCT
esrj-99036	145	4	the	the	DET
esrj-99036	145	5	p85	p85	NOUN
esrj-99036	145	6	of	of	ADP
esrj-99036	145	7	mets	met	NOUN
esrj-99036	145	8	as	as	ADP
esrj-99036	145	9	a	a	DET
esrj-99036	145	10	function	function	NOUN
esrj-99036	145	11	of	of	ADP
esrj-99036	145	12	the	the	DET
esrj-99036	145	13	arps	arp	NOUN
esrj-99036	145	14	are	be	AUX
esrj-99036	145	15	fr	fr	ADJ
esrj-99036	145	16	(	(	PUNCT
esrj-99036	145	17	p85=3.65	p85=3.65	ADP
esrj-99036	145	18	he	he	PRON
esrj-99036	145	19	year-1	year-1	NUM
esrj-99036	145	20	;	;	PUNCT
esrj-99036	145	21	figure	figure	NOUN
esrj-99036	145	22	4a	4a	NUM
esrj-99036	145	23	)	)	PUNCT
esrj-99036	145	24	,	,	PUNCT
esrj-99036	145	25	aad	aad	INTJ
esrj-99036	145	26	(	(	PUNCT
esrj-99036	145	27	p85=	p85=	ADJ
esrj-99036	145	28	5.09	5.09	NUM
esrj-99036	145	29	day	day	NOUN
esrj-99036	145	30	he-1	he-1	NOUN
esrj-99036	145	31	year-1	year-1	NUM
esrj-99036	145	32	;	;	PUNCT
esrj-99036	145	33	figure	figure	NOUN
esrj-99036	145	34	4b	4b	PROPN
esrj-99036	145	35	)	)	PUNCT
esrj-99036	145	36	,	,	PUNCT
esrj-99036	145	37	add	add	VERB
esrj-99036	145	38	(	(	PUNCT
esrj-99036	145	39	p85=19.34	p85=19.34	NOUN
esrj-99036	145	40	day-1	day-1	NUM
esrj-99036	145	41	year-1	year-1	NUM
esrj-99036	145	42	;	;	PUNCT
esrj-99036	145	43	figure	figure	NOUN
esrj-99036	145	44	4c	4c	NOUN
esrj-99036	145	45	)	)	PUNCT
esrj-99036	145	46	,	,	PUNCT
esrj-99036	145	47	in	in	ADP
esrj-99036	145	48	(	(	PUNCT
esrj-99036	145	49	p85=36.99	p85=36.99	X
esrj-99036	145	50	oc	oc	NOUN
esrj-99036	145	51	year-1	year-1	PROPN
esrj-99036	145	52	;	;	PUNCT
esrj-99036	145	53	figure	figure	NOUN
esrj-99036	145	54	4d	4d	NUM
esrj-99036	145	55	)	)	PUNCT
esrj-99036	145	56	,	,	PUNCT
esrj-99036	145	57	and	and	CCONJ
esrj-99036	145	58	mmt	mmt	PROPN
esrj-99036	145	59	(	(	PUNCT
esrj-99036	145	60	p85=40.85	p85=40.85	PROPN
esrj-99036	145	61	ºc	ºc	PROPN
esrj-99036	145	62	day-1	day-1	NUM
esrj-99036	145	63	;	;	PUNCT
esrj-99036	145	64	figure	figure	NOUN
esrj-99036	145	65	4e	4e	PROPN
esrj-99036	145	66	)	)	PUNCT
esrj-99036	145	67	.	.	PUNCT
esrj-99036	146	1	according	accord	VERB
esrj-99036	146	2	to	to	PART
esrj-99036	146	3	figure	figure	VERB
esrj-99036	146	4	4	4	NUM
esrj-99036	146	5	,	,	PUNCT
esrj-99036	146	6	the	the	DET
esrj-99036	146	7	average	average	ADJ
esrj-99036	146	8	occurrence	occurrence	NOUN
esrj-99036	146	9	frequency	frequency	NOUN
esrj-99036	146	10	of	of	ADP
esrj-99036	146	11	extreme	extreme	ADJ
esrj-99036	146	12	events	event	NOUN
esrj-99036	146	13	(	(	PUNCT
esrj-99036	146	14	values	value	NOUN
esrj-99036	146	15	with	with	ADP
esrj-99036	146	16	the	the	DET
esrj-99036	146	17	highest	high	ADJ
esrj-99036	146	18	probability	probability	NOUN
esrj-99036	146	19	of	of	ADP
esrj-99036	146	20	exceedance	exceedance	NOUN
esrj-99036	146	21	)	)	PUNCT
esrj-99036	146	22	per	per	ADP
esrj-99036	146	23	100	100	NUM
esrj-99036	146	24	years	year	NOUN
esrj-99036	146	25	are	be	AUX
esrj-99036	146	26	fr	fr	ADJ
esrj-99036	146	27	=	=	SYM
esrj-99036	146	28	1.16	1.16	NUM
esrj-99036	146	29	he	he	PRON
esrj-99036	146	30	dec-1	dec-1	VERB
esrj-99036	146	31	(	(	PUNCT
esrj-99036	146	32	arp	arp	NOUN
esrj-99036	146	33	=	=	SYM
esrj-99036	146	34	1.07	1.07	NUM
esrj-99036	146	35	years	year	NOUN
esrj-99036	146	36	;	;	PUNCT
esrj-99036	146	37	prob	prob	NOUN
esrj-99036	146	38	.	.	PUNCT
esrj-99036	147	1	=	=	NOUN
esrj-99036	148	1	0.93	0.93	NUM
esrj-99036	148	2	=	=	SYM
esrj-99036	148	3	93	93	NUM
esrj-99036	148	4	times	time	NOUN
esrj-99036	148	5	)	)	PUNCT
esrj-99036	148	6	,	,	PUNCT
esrj-99036	148	7	aad	aad	INTJ
esrj-99036	149	1	=	=	NOUN
esrj-99036	149	2	2.24	2.24	NUM
esrj-99036	149	3	day	day	NOUN
esrj-99036	149	4	he-1	he-1	ADP
esrj-99036	149	5	dec-1	dec-1	PUNCT
esrj-99036	149	6	(	(	PUNCT
esrj-99036	149	7	arp	arp	VERB
esrj-99036	149	8	=	=	SYM
esrj-99036	149	9	1.03	1.03	NUM
esrj-99036	149	10	years	year	NOUN
esrj-99036	149	11	;	;	PUNCT
esrj-99036	149	12	prob	prob	NOUN
esrj-99036	149	13	=	=	NOUN
esrj-99036	149	14	0.97	0.97	NUM
esrj-99036	149	15	=	=	SYM
esrj-99036	149	16	97	97	NUM
esrj-99036	149	17	times	time	NOUN
esrj-99036	149	18	)	)	PUNCT
esrj-99036	149	19	,	,	PUNCT
esrj-99036	149	20	add	add	VERB
esrj-99036	149	21	=	=	PUNCT
esrj-99036	149	22	4.16	4.16	NUM
esrj-99036	149	23	day	day	NOUN
esrj-99036	149	24	dec-1	dec-1	PUNCT
esrj-99036	149	25	(	(	PUNCT
esrj-99036	149	26	arp	arp	NOUN
esrj-99036	149	27	=	=	SYM
esrj-99036	149	28	1.06	1.06	NUM
esrj-99036	149	29	years	year	NOUN
esrj-99036	149	30	;	;	PUNCT
esrj-99036	149	31	prob	prob	NOUN
esrj-99036	149	32	=	=	PROPN
esrj-99036	149	33	0.94	0.94	NUM
esrj-99036	149	34	=	=	SYM
esrj-99036	149	35	94	94	NUM
esrj-99036	149	36	times	time	NOUN
esrj-99036	149	37	)	)	PUNCT
esrj-99036	149	38	,	,	PUNCT
esrj-99036	149	39	in	in	ADP
esrj-99036	149	40	=	=	PROPN
esrj-99036	149	41	20.42	20.42	NUM
esrj-99036	149	42	°	°	NOUN
esrj-99036	149	43	c	c	NOUN
esrj-99036	149	44	dec-1	dec-1	NOUN
esrj-99036	149	45	(	(	PUNCT
esrj-99036	149	46	arp	arp	NOUN
esrj-99036	149	47	=	=	SYM
esrj-99036	149	48	1.02	1.02	NUM
esrj-99036	149	49	years	year	NOUN
esrj-99036	149	50	;	;	PUNCT
esrj-99036	149	51	prob	prob	NOUN
esrj-99036	149	52	=	=	NOUN
esrj-99036	149	53	0.98	0.98	NUM
esrj-99036	149	54	=	=	SYM
esrj-99036	149	55	98	98	NUM
esrj-99036	149	56	times	time	NOUN
esrj-99036	149	57	)	)	PUNCT
esrj-99036	149	58	and	and	CCONJ
esrj-99036	149	59	mmt	mmt	PROPN
esrj-99036	149	60	=	=	PROPN
esrj-99036	150	1	39.18	39.18	NUM
esrj-99036	150	2	°	°	PROPN
esrj-99036	150	3	c	c	PROPN
esrj-99036	150	4	day-1	day-1	NUM
esrj-99036	150	5	dec-1	dec-1	PUNCT
esrj-99036	150	6	(	(	PUNCT
esrj-99036	150	7	arp	arp	ADJ
esrj-99036	150	8	=	=	SYM
esrj-99036	150	9	1.03	1.03	NUM
esrj-99036	150	10	years	year	NOUN
esrj-99036	150	11	;	;	PUNCT
esrj-99036	150	12	prob	prob	NOUN
esrj-99036	150	13	=	=	NOUN
esrj-99036	150	14	0.98	0.98	NUM
esrj-99036	150	15	=	=	SYM
esrj-99036	150	16	98	98	NUM
esrj-99036	150	17	times	time	NOUN
esrj-99036	150	18	)	)	PUNCT
esrj-99036	150	19	.	.	PUNCT
esrj-99036	151	1	the	the	DET
esrj-99036	151	2	average	average	ADJ
esrj-99036	151	3	frequency	frequency	NOUN
esrj-99036	151	4	of	of	ADP
esrj-99036	151	5	occurrence	occurrence	NOUN
esrj-99036	151	6	of	of	ADP
esrj-99036	151	7	extreme	extreme	ADJ
esrj-99036	151	8	events	event	NOUN
esrj-99036	151	9	(	(	PUNCT
esrj-99036	151	10	values	value	NOUN
esrj-99036	151	11	with	with	ADP
esrj-99036	151	12	less	less	ADJ
esrj-99036	151	13	probability	probability	NOUN
esrj-99036	151	14	of	of	ADP
esrj-99036	151	15	exceedance	exceedance	NOUN
esrj-99036	151	16	)	)	PUNCT
esrj-99036	151	17	per	per	ADP
esrj-99036	151	18	100	100	NUM
esrj-99036	151	19	years	year	NOUN
esrj-99036	151	20	are	be	AUX
esrj-99036	151	21	fr	fr	ADJ
esrj-99036	151	22	=	=	NUM
esrj-99036	151	23	6.11	6.11	NUM
esrj-99036	151	24	he	he	PRON
esrj-99036	151	25	dec-1	dec-1	NOUN
esrj-99036	151	26	(	(	PUNCT
esrj-99036	151	27	arp	arp	VERB
esrj-99036	151	28	=	=	SYM
esrj-99036	151	29	377.84	377.84	NUM
esrj-99036	151	30	years	year	NOUN
esrj-99036	151	31	;	;	PUNCT
esrj-99036	151	32	prob	prob	NOUN
esrj-99036	151	33	.	.	PUNCT
esrj-99036	152	1	=	=	PUNCT
esrj-99036	152	2	0.01	0.01	NUM
esrj-99036	152	3	=	=	SYM
esrj-99036	152	4	1	1	NUM
esrj-99036	152	5	time	time	NOUN
esrj-99036	152	6	)	)	PUNCT
esrj-99036	152	7	,	,	PUNCT
esrj-99036	152	8	aad	aad	INTJ
esrj-99036	152	9	=	=	NOUN
esrj-99036	152	10	6.64	6.64	NUM
esrj-99036	152	11	day	day	NOUN
esrj-99036	152	12	he-1	he-1	ADP
esrj-99036	152	13	dec-1	dec-1	PUNCT
esrj-99036	152	14	(	(	PUNCT
esrj-99036	152	15	arp	arp	VERB
esrj-99036	152	16	=	=	SYM
esrj-99036	152	17	24.88	24.88	NUM
esrj-99036	152	18	years	year	NOUN
esrj-99036	152	19	;	;	PUNCT
esrj-99036	152	20	prob	prob	NOUN
esrj-99036	152	21	=	=	NOUN
esrj-99036	152	22	0.04	0.04	NUM
esrj-99036	152	23	=	=	SYM
esrj-99036	152	24	4	4	NUM
esrj-99036	152	25	times	time	NOUN
esrj-99036	152	26	)	)	PUNCT
esrj-99036	152	27	,	,	PUNCT
esrj-99036	152	28	add	add	VERB
esrj-99036	152	29	=	=	SYM
esrj-99036	152	30	38.68	38.68	NUM
esrj-99036	152	31	day	day	NOUN
esrj-99036	152	32	dec-1	dec-1	PUNCT
esrj-99036	152	33	(	(	PUNCT
esrj-99036	152	34	arp	arp	VERB
esrj-99036	152	35	=	=	SYM
esrj-99036	152	36	816.94	816.94	NUM
esrj-99036	152	37	years	year	NOUN
esrj-99036	152	38	;	;	PUNCT
esrj-99036	152	39	prob	prob	NOUN
esrj-99036	152	40	=	=	NOUN
esrj-99036	152	41	0.01	0.01	NUM
esrj-99036	152	42	=	=	SYM
esrj-99036	152	43	1	1	NUM
esrj-99036	152	44	time	time	NOUN
esrj-99036	152	45	)	)	PUNCT
esrj-99036	152	46	,	,	PUNCT
esrj-99036	152	47	in	in	ADP
esrj-99036	152	48	=	=	PROPN
esrj-99036	152	49	39.09	39.09	NUM
esrj-99036	152	50	°	°	NUM
esrj-99036	152	51	c	c	NOUN
esrj-99036	152	52	dec-1	dec-1	NOUN
esrj-99036	152	53	(	(	PUNCT
esrj-99036	152	54	arp	arp	VERB
esrj-99036	152	55	=	=	SYM
esrj-99036	152	56	16.59	16.59	NUM
esrj-99036	152	57	years	year	NOUN
esrj-99036	152	58	;	;	PUNCT
esrj-99036	152	59	prob	prob	NOUN
esrj-99036	152	60	.	.	PUNCT
esrj-99036	153	1	=	=	SYM
esrj-99036	153	2	0.06	0.06	NUM
esrj-99036	153	3	=	=	SYM
esrj-99036	153	4	6	6	NUM
esrj-99036	153	5	times	time	NOUN
esrj-99036	153	6	)	)	PUNCT
esrj-99036	153	7	and	and	CCONJ
esrj-99036	153	8	mmt	mmt	PROPN
esrj-99036	154	1	=	=	PROPN
esrj-99036	154	2	41.95	41.95	NUM
esrj-99036	154	3	°	°	ADP
esrj-99036	154	4	c	c	PROPN
esrj-99036	154	5	day-1	day-1	NUM
esrj-99036	154	6	dec-1	dec-1	PUNCT
esrj-99036	154	7	(	(	PUNCT
esrj-99036	154	8	arp	arp	VERB
esrj-99036	154	9	=	=	SYM
esrj-99036	154	10	118.15	118.15	NUM
esrj-99036	154	11	years	year	NOUN
esrj-99036	154	12	;	;	PUNCT
esrj-99036	154	13	prob	prob	NOUN
esrj-99036	154	14	.	.	PUNCT
esrj-99036	155	1	=	=	PUNCT
esrj-99036	155	2	0.01	0.01	NUM
esrj-99036	155	3	=	=	SYM
esrj-99036	155	4	1	1	NUM
esrj-99036	155	5	time	time	NOUN
esrj-99036	155	6	)	)	PUNCT
esrj-99036	155	7	.	.	PUNCT
esrj-99036	156	1	these	these	DET
esrj-99036	156	2	results	result	NOUN
esrj-99036	156	3	are	be	AUX
esrj-99036	156	4	especially	especially	ADV
esrj-99036	156	5	useful	useful	ADJ
esrj-99036	156	6	for	for	ADP
esrj-99036	156	7	carrying	carry	VERB
esrj-99036	156	8	out	out	ADP
esrj-99036	156	9	adaptation	adaptation	NOUN
esrj-99036	156	10	measures	measure	NOUN
esrj-99036	156	11	in	in	ADP
esrj-99036	156	12	sectors	sector	NOUN
esrj-99036	156	13	such	such	ADJ
esrj-99036	156	14	as	as	ADP
esrj-99036	156	15	the	the	DET
esrj-99036	156	16	agrifood	agrifood	NOUN
esrj-99036	156	17	industry	industry	NOUN
esrj-99036	156	18	,	,	PUNCT
esrj-99036	156	19	which	which	PRON
esrj-99036	156	20	is	be	AUX
esrj-99036	156	21	the	the	DET
esrj-99036	156	22	main	main	ADJ
esrj-99036	156	23	economic	economic	ADJ
esrj-99036	156	24	activity	activity	NOUN
esrj-99036	156	25	in	in	ADP
esrj-99036	156	26	the	the	DET
esrj-99036	156	27	state	state	NOUN
esrj-99036	156	28	of	of	ADP
esrj-99036	156	29	sinaloa	sinaloa	NOUN
esrj-99036	156	30	(	(	PUNCT
esrj-99036	156	31	fiscal	fiscal	PROPN
esrj-99036	156	32	et	et	PROPN
esrj-99036	156	33	al	al	PROPN
esrj-99036	156	34	.	.	PROPN
esrj-99036	156	35	,	,	PUNCT
esrj-99036	156	36	2017	2017	NUM
esrj-99036	156	37	)	)	PUNCT
esrj-99036	156	38	.	.	PUNCT
esrj-99036	157	1	if	if	SCONJ
esrj-99036	157	2	these	these	DET
esrj-99036	157	3	results	result	NOUN
esrj-99036	157	4	are	be	AUX
esrj-99036	157	5	not	not	PART
esrj-99036	157	6	considered	consider	VERB
esrj-99036	157	7	in	in	ADP
esrj-99036	157	8	the	the	DET
esrj-99036	157	9	decision	decision	NOUN
esrj-99036	157	10	making	make	VERB
esrj-99036	157	11	for	for	ADP
esrj-99036	157	12	seeding	seed	VERB
esrj-99036	157	13	and	and	CCONJ
esrj-99036	157	14	harvesting	harvesting	NOUN
esrj-99036	157	15	dates	date	NOUN
esrj-99036	157	16	,	,	PUNCT
esrj-99036	157	17	significant	significant	ADJ
esrj-99036	157	18	reductions	reduction	NOUN
esrj-99036	157	19	in	in	ADP
esrj-99036	157	20	crop	crop	NOUN
esrj-99036	157	21	yields	yield	NOUN
esrj-99036	157	22	could	could	AUX
esrj-99036	157	23	occur	occur	VERB
esrj-99036	157	24	in	in	ADP
esrj-99036	157	25	the	the	DET
esrj-99036	157	26	region	region	NOUN
esrj-99036	157	27	,	,	PUNCT
esrj-99036	157	28	resulting	result	VERB
esrj-99036	157	29	in	in	ADP
esrj-99036	157	30	significant	significant	ADJ
esrj-99036	157	31	negative	negative	ADJ
esrj-99036	157	32	effects	effect	NOUN
esrj-99036	157	33	on	on	ADP
esrj-99036	157	34	the	the	DET
esrj-99036	157	35	economy	economy	NOUN
esrj-99036	157	36	of	of	ADP
esrj-99036	157	37	the	the	DET
esrj-99036	157	38	region	region	NOUN
esrj-99036	157	39	,	,	PUNCT
esrj-99036	157	40	which	which	PRON
esrj-99036	157	41	can	can	AUX
esrj-99036	157	42	generate	generate	VERB
esrj-99036	157	43	high	high	ADJ
esrj-99036	157	44	costs	cost	NOUN
esrj-99036	157	45	(	(	PUNCT
esrj-99036	157	46	ruiz	ruiz	NOUN
esrj-99036	157	47	et	et	PROPN
esrj-99036	157	48	al	al	PROPN
esrj-99036	157	49	.	.	PROPN
esrj-99036	157	50	,	,	PUNCT
esrj-99036	157	51	2013	2013	NUM
esrj-99036	157	52	;	;	PUNCT
esrj-99036	157	53	llanes	llanes	PROPN
esrj-99036	157	54	et	et	PROPN
esrj-99036	157	55	al	al	PROPN
esrj-99036	157	56	.	.	PROPN
esrj-99036	157	57	,	,	PUNCT
esrj-99036	157	58	2022b	2022b	NUM
esrj-99036	157	59	)	)	PUNCT
esrj-99036	157	60	.	.	PUNCT
esrj-99036	158	1	these	these	DET
esrj-99036	158	2	unusual	unusual	ADJ
esrj-99036	158	3	temperature	temperature	NOUN
esrj-99036	158	4	fluctuations	fluctuation	NOUN
esrj-99036	158	5	(	(	PUNCT
esrj-99036	158	6	indicators	indicator	NOUN
esrj-99036	158	7	of	of	ADP
esrj-99036	158	8	met	meet	VERB
esrj-99036	158	9	)	)	PUNCT
esrj-99036	158	10	that	that	PRON
esrj-99036	158	11	will	will	AUX
esrj-99036	158	12	increase	increase	VERB
esrj-99036	158	13	by	by	ADP
esrj-99036	158	14	the	the	DET
esrj-99036	158	15	year	year	NOUN
esrj-99036	158	16	2030	2030	NUM
esrj-99036	158	17	(	(	PUNCT
esrj-99036	158	18	world	world	PROPN
esrj-99036	158	19	bank	bank	PROPN
esrj-99036	158	20	et	et	PROPN
esrj-99036	158	21	al	al	PROPN
esrj-99036	158	22	.	.	PROPN
esrj-99036	158	23	,	,	PUNCT
esrj-99036	158	24	2014	2014	NUM
esrj-99036	158	25	)	)	PUNCT
esrj-99036	158	26	,	,	PUNCT
esrj-99036	158	27	could	could	AUX
esrj-99036	158	28	trigger	trigger	VERB
esrj-99036	158	29	significant	significant	ADJ
esrj-99036	158	30	decreases	decrease	NOUN
esrj-99036	158	31	in	in	ADP
esrj-99036	158	32	agricultural	agricultural	ADJ
esrj-99036	158	33	crop	crop	NOUN
esrj-99036	158	34	yields	yield	NOUN
esrj-99036	158	35	in	in	ADP
esrj-99036	158	36	sinaloa	sinaloa	PROPN
esrj-99036	158	37	(	(	PUNCT
esrj-99036	158	38	llanes	llanes	PROPN
esrj-99036	158	39	et	et	NOUN
esrj-99036	158	40	al	al	PROPN
esrj-99036	158	41	.	.	PROPN
esrj-99036	158	42	,	,	PUNCT
esrj-99036	158	43	2022b	2022b	NUM
esrj-99036	158	44	)	)	PUNCT
esrj-99036	158	45	,	,	PUNCT
esrj-99036	158	46	which	which	PRON
esrj-99036	158	47	will	will	AUX
esrj-99036	158	48	aggravate	aggravate	VERB
esrj-99036	158	49	the	the	DET
esrj-99036	158	50	food	food	NOUN
esrj-99036	158	51	sustainability	sustainability	NOUN
esrj-99036	158	52	of	of	ADP
esrj-99036	158	53	sinaloa	sinaloa	NOUN
esrj-99036	158	54	and	and	CCONJ
esrj-99036	158	55	of	of	ADP
esrj-99036	158	56	mexico	mexico	PROPN
esrj-99036	158	57	.	.	PUNCT
esrj-99036	159	1	through	through	ADP
esrj-99036	159	2	the	the	DET
esrj-99036	159	3	results	result	NOUN
esrj-99036	159	4	of	of	ADP
esrj-99036	159	5	this	this	DET
esrj-99036	159	6	study	study	NOUN
esrj-99036	159	7	,	,	PUNCT
esrj-99036	159	8	the	the	DET
esrj-99036	159	9	association	association	NOUN
esrj-99036	159	10	among	among	ADP
esrj-99036	159	11	the	the	DET
esrj-99036	159	12	indicators	indicator	NOUN
esrj-99036	159	13	of	of	ADP
esrj-99036	159	14	met	meet	VERB
esrj-99036	159	15	can	can	AUX
esrj-99036	159	16	be	be	AUX
esrj-99036	159	17	observed	observe	VERB
esrj-99036	159	18	;	;	PUNCT
esrj-99036	159	19	he	he	PRON
esrj-99036	159	20	(	(	PUNCT
esrj-99036	159	21	fr	fr	PROPN
esrj-99036	159	22	,	,	PUNCT
esrj-99036	159	23	aad	aad	INTJ
esrj-99036	159	24	,	,	PUNCT
esrj-99036	159	25	add	add	VERB
esrj-99036	159	26	and	and	CCONJ
esrj-99036	159	27	in	in	ADP
esrj-99036	159	28	)	)	PUNCT
esrj-99036	159	29	and	and	CCONJ
esrj-99036	159	30	mmt	mmt	PROPN
esrj-99036	159	31	and	and	CCONJ
esrj-99036	159	32	the	the	DET
esrj-99036	159	33	modeling	modeling	NOUN
esrj-99036	159	34	tools	tool	NOUN
esrj-99036	159	35	(	(	PUNCT
esrj-99036	159	36	sts	st	NOUN
esrj-99036	159	37	,	,	PUNCT
esrj-99036	159	38	fitted	fit	VERB
esrj-99036	159	39	probability	probability	NOUN
esrj-99036	159	40	distribution	distribution	NOUN
esrj-99036	159	41	functions	function	NOUN
esrj-99036	159	42	and	and	CCONJ
esrj-99036	159	43	arps	arp	NOUN
esrj-99036	159	44	)	)	PUNCT
esrj-99036	159	45	,	,	PUNCT
esrj-99036	159	46	which	which	PRON
esrj-99036	159	47	satisfy	satisfy	VERB
esrj-99036	159	48	the	the	DET
esrj-99036	159	49	requirements	requirement	NOUN
esrj-99036	159	50	for	for	ADP
esrj-99036	159	51	calculating	calculate	VERB
esrj-99036	159	52	estimates	estimate	NOUN
esrj-99036	159	53	of	of	ADP
esrj-99036	159	54	the	the	DET
esrj-99036	159	55	frequency	frequency	NOUN
esrj-99036	159	56	of	of	ADP
esrj-99036	159	57	occurrence	occurrence	NOUN
esrj-99036	159	58	of	of	ADP
esrj-99036	159	59	met	meet	VERB
esrj-99036	159	60	indicators	indicator	NOUN
esrj-99036	159	61	.	.	PUNCT
esrj-99036	160	1	figure	figure	VERB
esrj-99036	160	2	4	4	NUM
esrj-99036	160	3	.	.	PUNCT
esrj-99036	160	4	adjusted	adjust	VERB
esrj-99036	160	5	return	return	NOUN
esrj-99036	160	6	periods	period	NOUN
esrj-99036	160	7	(	(	PUNCT
esrj-99036	160	8	arps	arps	PROPN
esrj-99036	160	9	)	)	PUNCT
esrj-99036	160	10	of	of	ADP
esrj-99036	160	11	the	the	DET
esrj-99036	160	12	maximum	maximum	ADJ
esrj-99036	160	13	extreme	extreme	ADJ
esrj-99036	160	14	temperature	temperature	NOUN
esrj-99036	160	15	(	(	PUNCT
esrj-99036	160	16	met	meet	VERB
esrj-99036	160	17	)	)	PUNCT
esrj-99036	160	18	indicators	indicator	NOUN
esrj-99036	160	19	:	:	PUNCT
esrj-99036	160	20	hot	hot	ADJ
esrj-99036	160	21	extremes	extreme	NOUN
esrj-99036	160	22	(	(	PUNCT
esrj-99036	160	23	fr	fr	NOUN
esrj-99036	160	24	,	,	PUNCT
esrj-99036	160	25	frequency	frequency	NOUN
esrj-99036	160	26	;	;	PUNCT
esrj-99036	160	27	aad	aad	INTJ
esrj-99036	160	28	,	,	PUNCT
esrj-99036	160	29	annual	annual	ADJ
esrj-99036	160	30	average	average	ADJ
esrj-99036	160	31	duration	duration	NOUN
esrj-99036	160	32	;	;	PUNCT
esrj-99036	160	33	add	add	VERB
esrj-99036	160	34	,	,	PUNCT
esrj-99036	160	35	annual	annual	ADJ
esrj-99036	160	36	daily	daily	ADJ
esrj-99036	160	37	duration	duration	NOUN
esrj-99036	160	38	;	;	PUNCT
esrj-99036	160	39	in	in	ADP
esrj-99036	160	40	,	,	PUNCT
esrj-99036	160	41	intensity	intensity	NOUN
esrj-99036	160	42	)	)	PUNCT
esrj-99036	160	43	and	and	CCONJ
esrj-99036	160	44	maximum	maximum	ADJ
esrj-99036	160	45	maximorum	maximorum	NOUN
esrj-99036	160	46	temperature	temperature	NOUN
esrj-99036	160	47	(	(	PUNCT
esrj-99036	160	48	mmt	mmt	NOUN
esrj-99036	160	49	)	)	PUNCT
esrj-99036	160	50	.	.	PUNCT
esrj-99036	161	1	fitted	fit	VERB
esrj-99036	161	2	probability	probability	NOUN
esrj-99036	161	3	distribution	distribution	NOUN
esrj-99036	161	4	functions	function	NOUN
esrj-99036	161	5	:	:	PUNCT
esrj-99036	161	6	logarithmic	logarithmic	NOUN
esrj-99036	161	7	(	(	PUNCT
esrj-99036	161	8	log	log	NOUN
esrj-99036	161	9	)	)	PUNCT
esrj-99036	161	10	,	,	PUNCT
esrj-99036	161	11	lognormal	lognormal	ADJ
esrj-99036	161	12	(	(	PUNCT
esrj-99036	161	13	log	log	NOUN
esrj-99036	161	14	–	–	PUNCT
esrj-99036	161	15	normal	normal	ADJ
esrj-99036	161	16	)	)	PUNCT
esrj-99036	161	17	and	and	CCONJ
esrj-99036	161	18	generalized	generalize	VERB
esrj-99036	161	19	extreme	extreme	ADJ
esrj-99036	161	20	values	value	NOUN
esrj-99036	161	21	(	(	PUNCT
esrj-99036	161	22	gev	gev	NOUN
esrj-99036	161	23	)	)	PUNCT
esrj-99036	161	24	.	.	PUNCT
esrj-99036	162	1	source	source	NOUN
esrj-99036	162	2	:	:	PUNCT
esrj-99036	162	3	llanes	llanes	PROPN
esrj-99036	162	4	et	et	PROPN
esrj-99036	162	5	al	al	PROPN
esrj-99036	162	6	.	.	PROPN
esrj-99036	163	1	(	(	PUNCT
esrj-99036	163	2	2021	2021	NUM
esrj-99036	163	3	)	)	PUNCT
esrj-99036	163	4	82	82	NUM
esrj-99036	163	5	omar	omar	PROPN
esrj-99036	163	6	llanes	llanes	PROPN
esrj-99036	163	7	cárdenas	cárdenas	PROPN
esrj-99036	163	8	,	,	PUNCT
esrj-99036	163	9	lorenzo	lorenzo	PROPN
esrj-99036	163	10	cervantes	cervante	VERB
esrj-99036	163	11	arce	arce	PROPN
esrj-99036	163	12	,	,	PUNCT
esrj-99036	163	13	gabriel	gabriel	PROPN
esrj-99036	163	14	eduardo	eduardo	PROPN
esrj-99036	163	15	gonzález	gonzález	PROPN
esrj-99036	163	16	gonzález	gonzález	PROPN
esrj-99036	163	17	4	4	NUM
esrj-99036	163	18	.	.	PUNCT
esrj-99036	164	1	conclusions	conclusion	NOUN
esrj-99036	164	2	based	base	VERB
esrj-99036	164	3	on	on	ADP
esrj-99036	164	4	the	the	DET
esrj-99036	164	5	st	st	PROPN
esrj-99036	164	6	results	result	NOUN
esrj-99036	164	7	of	of	ADP
esrj-99036	164	8	these	these	DET
esrj-99036	164	9	parameters	parameter	NOUN
esrj-99036	164	10	,	,	PUNCT
esrj-99036	164	11	a	a	DET
esrj-99036	164	12	greater	great	ADJ
esrj-99036	164	13	number	number	NOUN
esrj-99036	164	14	of	of	ADP
esrj-99036	164	15	negative	negative	ADJ
esrj-99036	164	16	values	value	NOUN
esrj-99036	164	17	were	be	AUX
esrj-99036	164	18	observed	observe	VERB
esrj-99036	164	19	than	than	ADP
esrj-99036	164	20	positive	positive	ADJ
esrj-99036	164	21	,	,	PUNCT
esrj-99036	164	22	which	which	PRON
esrj-99036	164	23	shows	show	VERB
esrj-99036	164	24	a	a	DET
esrj-99036	164	25	trend	trend	NOUN
esrj-99036	164	26	toward	toward	ADP
esrj-99036	164	27	cooling	cooling	NOUN
esrj-99036	164	28	.	.	PUNCT
esrj-99036	165	1	the	the	DET
esrj-99036	165	2	fitted	fit	VERB
esrj-99036	165	3	probability	probability	NOUN
esrj-99036	165	4	distribution	distribution	NOUN
esrj-99036	165	5	functions	function	NOUN
esrj-99036	165	6	used	use	VERB
esrj-99036	165	7	to	to	PART
esrj-99036	165	8	calculate	calculate	VERB
esrj-99036	165	9	the	the	DET
esrj-99036	165	10	indicators	indicator	NOUN
esrj-99036	165	11	of	of	ADP
esrj-99036	165	12	met	meet	VERB
esrj-99036	165	13	were	be	AUX
esrj-99036	165	14	for	for	ADP
esrj-99036	165	15	fr	fr	NOUN
esrj-99036	165	16	,	,	PUNCT
esrj-99036	165	17	log	log	NOUN
esrj-99036	165	18	;	;	PUNCT
esrj-99036	165	19	for	for	ADP
esrj-99036	165	20	aad	aad	PROPN
esrj-99036	165	21	,	,	PUNCT
esrj-99036	165	22	gev	gev	PROPN
esrj-99036	165	23	;	;	PUNCT
esrj-99036	165	24	for	for	ADP
esrj-99036	165	25	add	add	NOUN
esrj-99036	165	26	,	,	PUNCT
esrj-99036	165	27	log	log	NOUN
esrj-99036	165	28	;	;	PUNCT
esrj-99036	165	29	for	for	ADP
esrj-99036	165	30	in	in	ADP
esrj-99036	165	31	,	,	PUNCT
esrj-99036	165	32	lognormal	lognormal	ADJ
esrj-99036	165	33	;	;	PUNCT
esrj-99036	165	34	and	and	CCONJ
esrj-99036	165	35	for	for	ADP
esrj-99036	165	36	mmt	mmt	PROPN
esrj-99036	165	37	,	,	PUNCT
esrj-99036	165	38	log	log	NOUN
esrj-99036	165	39	.	.	PUNCT
esrj-99036	166	1	this	this	DET
esrj-99036	166	2	contribution	contribution	NOUN
esrj-99036	166	3	provides	provide	VERB
esrj-99036	166	4	a	a	DET
esrj-99036	166	5	useful	useful	ADJ
esrj-99036	166	6	methodological	methodological	ADJ
esrj-99036	166	7	tool	tool	NOUN
esrj-99036	166	8	to	to	PART
esrj-99036	166	9	design	design	VERB
esrj-99036	166	10	adaptation	adaptation	NOUN
esrj-99036	166	11	strategies	strategy	NOUN
esrj-99036	166	12	for	for	ADP
esrj-99036	166	13	climate	climate	NOUN
esrj-99036	166	14	change	change	NOUN
esrj-99036	166	15	and	and	CCONJ
esrj-99036	166	16	natural	natural	ADJ
esrj-99036	166	17	disasters	disaster	NOUN
esrj-99036	166	18	that	that	PRON
esrj-99036	166	19	may	may	AUX
esrj-99036	166	20	affect	affect	VERB
esrj-99036	166	21	the	the	DET
esrj-99036	166	22	agrifood	agrifood	NOUN
esrj-99036	166	23	sector	sector	NOUN
esrj-99036	166	24	.	.	PUNCT
esrj-99036	167	1	with	with	ADP
esrj-99036	167	2	the	the	DET
esrj-99036	167	3	strategies	strategy	NOUN
esrj-99036	167	4	that	that	PRON
esrj-99036	167	5	can	can	AUX
esrj-99036	167	6	be	be	AUX
esrj-99036	167	7	devised	devise	VERB
esrj-99036	167	8	,	,	PUNCT
esrj-99036	167	9	non	non	ADJ
esrj-99036	167	10	-	-	NOUN
esrj-99036	167	11	reduction	reduction	NOUN
esrj-99036	167	12	of	of	ADP
esrj-99036	167	13	the	the	DET
esrj-99036	167	14	agricultural	agricultural	ADJ
esrj-99036	167	15	yield	yield	NOUN
esrj-99036	167	16	should	should	AUX
esrj-99036	167	17	be	be	AUX
esrj-99036	167	18	guaranteed	guarantee	VERB
esrj-99036	167	19	for	for	ADP
esrj-99036	167	20	the	the	DET
esrj-99036	167	21	most	most	ADV
esrj-99036	167	22	important	important	ADJ
esrj-99036	167	23	crops	crop	NOUN
esrj-99036	167	24	in	in	ADP
esrj-99036	167	25	sinaloa	sinaloa	NOUN
esrj-99036	167	26	;	;	PUNCT
esrj-99036	167	27	maize	maize	NOUN
esrj-99036	167	28	,	,	PUNCT
esrj-99036	167	29	sorghum	sorghum	NOUN
esrj-99036	167	30	,	,	PUNCT
esrj-99036	167	31	wheat	wheat	NOUN
esrj-99036	167	32	,	,	PUNCT
esrj-99036	167	33	and	and	CCONJ
esrj-99036	167	34	beans	bean	NOUN
esrj-99036	167	35	.	.	PUNCT
esrj-99036	168	1	these	these	DET
esrj-99036	168	2	products	product	NOUN
esrj-99036	168	3	are	be	AUX
esrj-99036	168	4	a	a	DET
esrj-99036	168	5	mainstay	mainstay	NOUN
esrj-99036	168	6	in	in	ADP
esrj-99036	168	7	feeding	feed	VERB
esrj-99036	168	8	mexico	mexico	PROPN
esrj-99036	168	9	and	and	CCONJ
esrj-99036	168	10	a	a	DET
esrj-99036	168	11	great	great	ADJ
esrj-99036	168	12	part	part	NOUN
esrj-99036	168	13	of	of	ADP
esrj-99036	168	14	the	the	DET
esrj-99036	168	15	harvest	harvest	NOUN
esrj-99036	168	16	comes	come	VERB
esrj-99036	168	17	from	from	ADP
esrj-99036	168	18	the	the	DET
esrj-99036	168	19	study	study	NOUN
esrj-99036	168	20	area	area	NOUN
esrj-99036	168	21	,	,	PUNCT
esrj-99036	168	22	which	which	PRON
esrj-99036	168	23	is	be	AUX
esrj-99036	168	24	still	still	ADV
esrj-99036	168	25	called	call	VERB
esrj-99036	168	26	“	"	PUNCT
esrj-99036	168	27	the	the	DET
esrj-99036	168	28	breadbasket	breadbasket	NOUN
esrj-99036	168	29	of	of	ADP
esrj-99036	168	30	mexico	mexico	PROPN
esrj-99036	168	31	.	.	PUNCT
esrj-99036	168	32	”	"	PUNCT
esrj-99036	169	1	limitations	limitation	NOUN
esrj-99036	169	2	of	of	ADP
esrj-99036	169	3	this	this	DET
esrj-99036	169	4	study	study	NOUN
esrj-99036	169	5	are	be	AUX
esrj-99036	169	6	the	the	DET
esrj-99036	169	7	small	small	ADJ
esrj-99036	169	8	number	number	NOUN
esrj-99036	169	9	of	of	ADP
esrj-99036	169	10	weather	weather	NOUN
esrj-99036	169	11	stations	station	NOUN
esrj-99036	169	12	studied	study	VERB
esrj-99036	169	13	and	and	CCONJ
esrj-99036	169	14	the	the	DET
esrj-99036	169	15	small	small	ADJ
esrj-99036	169	16	number	number	NOUN
esrj-99036	169	17	of	of	ADP
esrj-99036	169	18	probability	probability	NOUN
esrj-99036	169	19	distribution	distribution	NOUN
esrj-99036	169	20	functions	function	NOUN
esrj-99036	169	21	used	use	VERB
esrj-99036	169	22	for	for	ADP
esrj-99036	169	23	the	the	DET
esrj-99036	169	24	fit	fit	NOUN
esrj-99036	169	25	.	.	PUNCT
esrj-99036	170	1	it	it	PRON
esrj-99036	170	2	is	be	AUX
esrj-99036	170	3	recommended	recommend	VERB
esrj-99036	170	4	that	that	SCONJ
esrj-99036	170	5	the	the	DET
esrj-99036	170	6	met	meet	VERB
esrj-99036	170	7	indicators	indicator	NOUN
esrj-99036	170	8	be	be	AUX
esrj-99036	170	9	recalculated	recalculate	VERB
esrj-99036	170	10	with	with	ADP
esrj-99036	170	11	data	datum	NOUN
esrj-99036	170	12	from	from	ADP
esrj-99036	170	13	a	a	DET
esrj-99036	170	14	greater	great	ADJ
esrj-99036	170	15	number	number	NOUN
esrj-99036	170	16	of	of	ADP
esrj-99036	170	17	meteorological	meteorological	ADJ
esrj-99036	170	18	stations	station	NOUN
esrj-99036	170	19	,	,	PUNCT
esrj-99036	170	20	as	as	ADV
esrj-99036	170	21	well	well	ADV
esrj-99036	170	22	as	as	ADP
esrj-99036	170	23	using	use	VERB
esrj-99036	170	24	a	a	DET
esrj-99036	170	25	greater	great	ADJ
esrj-99036	170	26	number	number	NOUN
esrj-99036	170	27	of	of	ADP
esrj-99036	170	28	probability	probability	NOUN
esrj-99036	170	29	distribution	distribution	NOUN
esrj-99036	170	30	functions	function	NOUN
esrj-99036	170	31	to	to	PART
esrj-99036	170	32	try	try	VERB
esrj-99036	170	33	to	to	PART
esrj-99036	170	34	increase	increase	VERB
esrj-99036	170	35	the	the	DET
esrj-99036	170	36	p	p	NOUN
esrj-99036	170	37	–	–	PUNCT
esrj-99036	170	38	values	value	NOUN
esrj-99036	170	39	and	and	CCONJ
esrj-99036	170	40	obtain	obtain	VERB
esrj-99036	170	41	more	more	ADV
esrj-99036	170	42	accurate	accurate	ADJ
esrj-99036	170	43	arp	arp	NOUN
esrj-99036	170	44	.	.	PUNCT
esrj-99036	171	1	some	some	DET
esrj-99036	171	2	proposals	proposal	NOUN
esrj-99036	171	3	for	for	ADP
esrj-99036	171	4	climate	climate	NOUN
esrj-99036	171	5	-	-	PUNCT
esrj-99036	171	6	smart	smart	ADJ
esrj-99036	171	7	agricultural	agricultural	ADJ
esrj-99036	171	8	strategies	strategy	NOUN
esrj-99036	171	9	(	(	PUNCT
esrj-99036	171	10	adaptation	adaptation	NOUN
esrj-99036	171	11	/	/	SYM
esrj-99036	171	12	prevention	prevention	NOUN
esrj-99036	171	13	)	)	PUNCT
esrj-99036	171	14	are	be	AUX
esrj-99036	171	15	drip	drip	NOUN
esrj-99036	171	16	irrigation	irrigation	NOUN
esrj-99036	171	17	,	,	PUNCT
esrj-99036	171	18	protected	protect	VERB
esrj-99036	171	19	agriculture	agriculture	NOUN
esrj-99036	171	20	,	,	PUNCT
esrj-99036	171	21	and	and	CCONJ
esrj-99036	171	22	crop	crop	NOUN
esrj-99036	171	23	substitution	substitution	NOUN
esrj-99036	171	24	,	,	PUNCT
esrj-99036	171	25	which	which	PRON
esrj-99036	171	26	can	can	AUX
esrj-99036	171	27	serve	serve	VERB
esrj-99036	171	28	to	to	PART
esrj-99036	171	29	minimize	minimize	VERB
esrj-99036	171	30	the	the	DET
esrj-99036	171	31	effects	effect	NOUN
esrj-99036	171	32	of	of	ADP
esrj-99036	171	33	high	high	ADJ
esrj-99036	171	34	temperatures	temperature	NOUN
esrj-99036	171	35	in	in	ADP
esrj-99036	171	36	the	the	DET
esrj-99036	171	37	agricultural	agricultural	ADJ
esrj-99036	171	38	activities	activity	NOUN
esrj-99036	171	39	of	of	ADP
esrj-99036	171	40	sinaloa	sinaloa	PROPN
esrj-99036	171	41	state	state	NOUN
esrj-99036	171	42	.	.	PUNCT
esrj-99036	172	1	acknowledgements	acknowledgement	NOUN
esrj-99036	172	2	this	this	DET
esrj-99036	172	3	research	research	NOUN
esrj-99036	172	4	was	be	AUX
esrj-99036	172	5	financed	finance	VERB
esrj-99036	172	6	by	by	ADP
esrj-99036	172	7	the	the	DET
esrj-99036	172	8	research	research	NOUN
esrj-99036	172	9	and	and	CCONJ
esrj-99036	172	10	postgraduate	postgraduate	VERB
esrj-99036	172	11	secretariat	secretariat	NOUN
esrj-99036	172	12	of	of	ADP
esrj-99036	172	13	the	the	DET
esrj-99036	172	14	national	national	PROPN
esrj-99036	172	15	polytechnic	polytechnic	PROPN
esrj-99036	172	16	institute	institute	PROPN
esrj-99036	172	17	(	(	PUNCT
esrj-99036	172	18	sip	sip	PROPN
esrj-99036	172	19	-	-	PUNCT
esrj-99036	172	20	ipn	ipn	PROPN
esrj-99036	172	21	):	):	PUNCT
esrj-99036	172	22	project	project	NOUN
esrj-99036	172	23	with	with	ADP
esrj-99036	172	24	registration	registration	NOUN
esrj-99036	172	25	sip20195581	sip20195581	NOUN
esrj-99036	172	26	.	.	PUNCT
esrj-99036	173	1	references	reference	NOUN
esrj-99036	173	2	aguilera	aguilera	PROPN
esrj-99036	173	3	,	,	PUNCT
esrj-99036	173	4	n.	n.	PROPN
esrj-99036	173	5	m.	m.	PROPN
esrj-99036	173	6	a.	a.	PROPN
esrj-99036	173	7	(	(	PUNCT
esrj-99036	173	8	2007	2007	NUM
esrj-99036	173	9	)	)	PUNCT
esrj-99036	173	10	.	.	PUNCT
esrj-99036	174	1	estimación	estimación	PROPN
esrj-99036	174	2	de	de	ADP
esrj-99036	174	3	funciones	funciones	X
esrj-99036	174	4	de	de	X
esrj-99036	174	5	distribución	distribución	PROPN
esrj-99036	174	6	de	de	X
esrj-99036	174	7	probabilidad	probabilidad	PROPN
esrj-99036	174	8	,	,	PUNCT
esrj-99036	174	9	para	para	PROPN
esrj-99036	174	10	caudales	caudale	NOUN
esrj-99036	174	11	máximos	máximos	PROPN
esrj-99036	174	12	,	,	PUNCT
esrj-99036	174	13	en	en	PROPN
esrj-99036	174	14	la	la	PROPN
esrj-99036	174	15	región	región	PROPN
esrj-99036	174	16	del	del	PROPN
esrj-99036	174	17	maule	maule	PROPN
esrj-99036	174	18	.	.	PUNCT
esrj-99036	175	1	memoria	memoria	PROPN
esrj-99036	175	2	de	de	PROPN
esrj-99036	175	3	la	la	X
esrj-99036	175	4	universidad	universidad	PROPN
esrj-99036	175	5	de	de	PROPN
esrj-99036	175	6	talca	talca	PROPN
esrj-99036	175	7	.	.	PUNCT
esrj-99036	176	1	alghamdi	alghamdi	NOUN
esrj-99036	176	2	,	,	PUNCT
esrj-99036	176	3	a.	a.	PROPN
esrj-99036	176	4	s.	s.	PROPN
esrj-99036	176	5	,	,	PUNCT
esrj-99036	176	6	&	&	CCONJ
esrj-99036	176	7	harrington	harrington	PROPN
esrj-99036	176	8	,	,	PUNCT
esrj-99036	176	9	j.	j.	PROPN
esrj-99036	176	10	j.	j.	PROPN
esrj-99036	176	11	(	(	PUNCT
esrj-99036	176	12	2019	2019	NUM
esrj-99036	176	13	)	)	PUNCT
esrj-99036	176	14	.	.	PUNCT
esrj-99036	177	1	trends	trend	NOUN
esrj-99036	177	2	and	and	CCONJ
esrj-99036	177	3	spatial	spatial	ADJ
esrj-99036	177	4	pattern	pattern	NOUN
esrj-99036	177	5	recognition	recognition	NOUN
esrj-99036	177	6	of	of	ADP
esrj-99036	177	7	warm	warm	ADJ
esrj-99036	177	8	season	season	NOUN
esrj-99036	177	9	hot	hot	ADJ
esrj-99036	177	10	temperatures	temperature	NOUN
esrj-99036	177	11	in	in	ADP
esrj-99036	177	12	saudi	saudi	PROPN
esrj-99036	177	13	arabia	arabia	PROPN
esrj-99036	177	14	.	.	PUNCT
esrj-99036	178	1	theoretical	theoretical	ADJ
esrj-99036	178	2	and	and	CCONJ
esrj-99036	178	3	applied	applied	ADJ
esrj-99036	178	4	climatology	climatology	NOUN
esrj-99036	178	5	,	,	PUNCT
esrj-99036	178	6	138	138	NUM
esrj-99036	178	7	,	,	PUNCT
esrj-99036	178	8	793–807	793–807	NUM
esrj-99036	178	9	.	.	PUNCT
esrj-99036	179	1	https://doi.org/10.1007/s00704019-02860-6	https://doi.org/10.1007/s00704019-02860-6	PROPN
esrj-99036	179	2	alves	alves	PROPN
esrj-99036	179	3	,	,	PUNCT
esrj-99036	179	4	m.	m.	NOUN
esrj-99036	179	5	,	,	PUNCT
esrj-99036	179	6	nadeau	nadeau	PROPN
esrj-99036	179	7	,	,	PUNCT
esrj-99036	179	8	d.	d.	PROPN
esrj-99036	179	9	f.	f.	PROPN
esrj-99036	179	10	,	,	PUNCT
esrj-99036	179	11	music	music	PROPN
esrj-99036	179	12	,	,	PUNCT
esrj-99036	179	13	b.	b.	PROPN
esrj-99036	179	14	,	,	PUNCT
esrj-99036	179	15	anctil	anctil	PROPN
esrj-99036	179	16	,	,	PUNCT
esrj-99036	179	17	f.	f.	PROPN
esrj-99036	179	18	,	,	PUNCT
esrj-99036	179	19	&	&	CCONJ
esrj-99036	179	20	fatichi	fatichi	PROPN
esrj-99036	179	21	,	,	PUNCT
esrj-99036	179	22	s.	s.	PROPN
esrj-99036	179	23	(	(	PUNCT
esrj-99036	179	24	2021	2021	NUM
esrj-99036	179	25	)	)	PUNCT
esrj-99036	179	26	.	.	PUNCT
esrj-99036	180	1	can	can	AUX
esrj-99036	180	2	we	we	PRON
esrj-99036	180	3	replace	replace	VERB
esrj-99036	180	4	observed	observed	ADJ
esrj-99036	180	5	forcing	forcing	NOUN
esrj-99036	180	6	with	with	ADP
esrj-99036	180	7	weather	weather	NOUN
esrj-99036	180	8	generator	generator	NOUN
esrj-99036	180	9	in	in	ADP
esrj-99036	180	10	land	land	NOUN
esrj-99036	180	11	surface	surface	NOUN
esrj-99036	180	12	modeling	modeling	NOUN
esrj-99036	180	13	?	?	PUNCT
esrj-99036	181	1	insights	insight	NOUN
esrj-99036	181	2	from	from	ADP
esrj-99036	181	3	long	long	ADJ
esrj-99036	181	4	-	-	PUNCT
esrj-99036	181	5	term	term	NOUN
esrj-99036	181	6	simulations	simulation	NOUN
esrj-99036	181	7	at	at	ADP
esrj-99036	181	8	two	two	NUM
esrj-99036	181	9	contrasting	contrast	VERB
esrj-99036	181	10	boreal	boreal	NOUN
esrj-99036	181	11	sites	site	NOUN
esrj-99036	181	12	.	.	PUNCT
esrj-99036	182	1	theoretical	theoretical	ADJ
esrj-99036	182	2	and	and	CCONJ
esrj-99036	182	3	applied	applied	ADJ
esrj-99036	182	4	climatology	climatology	NOUN
esrj-99036	182	5	,	,	PUNCT
esrj-99036	182	6	145	145	NUM
esrj-99036	182	7	,	,	PUNCT
esrj-99036	182	8	215–244	215–244	NUM
esrj-99036	182	9	.	.	PUNCT
esrj-99036	183	1	https://doi	https://doi	PROPN
esrj-99036	183	2	.	.	PUNCT
esrj-99036	183	3	org/10.1007	org/10.1007	PROPN
esrj-99036	183	4	/	/	SYM
esrj-99036	183	5	s00704	s00704	VERB
esrj-99036	183	6	-	-	ADJ
esrj-99036	183	7	021	021	NUM
esrj-99036	183	8	-	-	PUNCT
esrj-99036	183	9	03615	03615	NUM
esrj-99036	183	10	-	-	PUNCT
esrj-99036	183	11	y	y	PROPN
esrj-99036	183	12	ariza	ariza	PROPN
esrj-99036	183	13	,	,	PUNCT
esrj-99036	184	1	r.	r.	PROPN
esrj-99036	184	2	a.	a.	PROPN
esrj-99036	184	3	m.	m.	PROPN
esrj-99036	184	4	(	(	PUNCT
esrj-99036	184	5	2013	2013	NUM
esrj-99036	184	6	)	)	PUNCT
esrj-99036	184	7	.	.	PUNCT
esrj-99036	185	1	métodos	método	VERB
esrj-99036	185	2	utilizados	utilizado	NOUN
esrj-99036	185	3	para	para	PROPN
esrj-99036	185	4	el	el	PROPN
esrj-99036	185	5	pronóstico	pronóstico	PROPN
esrj-99036	185	6	de	de	PROPN
esrj-99036	185	7	demanda	demanda	PROPN
esrj-99036	185	8	de	de	PROPN
esrj-99036	185	9	energía	energía	PROPN
esrj-99036	185	10	eléctrica	eléctrica	PROPN
esrj-99036	185	11	en	en	X
esrj-99036	185	12	sistemas	sistemas	PROPN
esrj-99036	185	13	de	de	X
esrj-99036	185	14	distribución	distribución	PROPN
esrj-99036	185	15	.	.	PUNCT
esrj-99036	186	1	[	[	X
esrj-99036	186	2	tesis	tesis	PROPN
esrj-99036	186	3	de	de	X
esrj-99036	186	4	licenciatura	licenciatura	PROPN
esrj-99036	186	5	,	,	PUNCT
esrj-99036	186	6	universidad	universidad	PROPN
esrj-99036	186	7	tecnológica	tecnológica	PROPN
esrj-99036	186	8	de	de	PROPN
esrj-99036	186	9	pereira	pereira	PROPN
esrj-99036	186	10	]	]	X
esrj-99036	186	11	,	,	PUNCT
esrj-99036	186	12	145p	145p	NUM
esrj-99036	186	13	.	.	PUNCT
esrj-99036	187	1	austin	austin	PROPN
esrj-99036	187	2	,	,	PUNCT
esrj-99036	187	3	c.	c.	PROPN
esrj-99036	187	4	p.	p.	PROPN
esrj-99036	187	5	,	,	PUNCT
esrj-99036	187	6	&	&	CCONJ
esrj-99036	187	7	van	van	PROPN
esrj-99036	187	8	buuren	buuren	PROPN
esrj-99036	187	9	,	,	PUNCT
esrj-99036	187	10	s.	s.	PROPN
esrj-99036	187	11	(	(	PUNCT
esrj-99036	187	12	2022	2022	NUM
esrj-99036	187	13	)	)	PUNCT
esrj-99036	187	14	.	.	PUNCT
esrj-99036	188	1	the	the	DET
esrj-99036	188	2	effect	effect	NOUN
esrj-99036	188	3	of	of	ADP
esrj-99036	188	4	high	high	ADJ
esrj-99036	188	5	prevalence	prevalence	NOUN
esrj-99036	188	6	of	of	ADP
esrj-99036	188	7	missing	miss	VERB
esrj-99036	188	8	data	datum	NOUN
esrj-99036	188	9	on	on	ADP
esrj-99036	188	10	estimation	estimation	NOUN
esrj-99036	188	11	of	of	ADP
esrj-99036	188	12	the	the	DET
esrj-99036	188	13	coefficients	coefficient	NOUN
esrj-99036	188	14	of	of	ADP
esrj-99036	188	15	a	a	DET
esrj-99036	188	16	logistic	logistic	ADJ
esrj-99036	188	17	regression	regression	NOUN
esrj-99036	188	18	model	model	NOUN
esrj-99036	188	19	when	when	SCONJ
esrj-99036	188	20	using	use	VERB
esrj-99036	188	21	multiple	multiple	ADJ
esrj-99036	188	22	imputation	imputation	NOUN
esrj-99036	188	23	.	.	PUNCT
esrj-99036	189	1	bmc	bmc	PROPN
esrj-99036	189	2	medical	medical	ADJ
esrj-99036	189	3	research	research	NOUN
esrj-99036	189	4	methodology	methodology	NOUN
esrj-99036	189	5	,	,	PUNCT
esrj-99036	189	6	22	22	NUM
esrj-99036	189	7	,	,	PUNCT
esrj-99036	189	8	196	196	NUM
esrj-99036	189	9	.	.	PUNCT
esrj-99036	190	1	https://doi.org/10.1186/s12874-022-01671-0	https://doi.org/10.1186/s12874-022-01671-0	VERB
esrj-99036	190	2	blanco	blanco	PROPN
esrj-99036	190	3	,	,	PUNCT
esrj-99036	190	4	m.	m.	PROPN
esrj-99036	190	5	e.	e.	PROPN
esrj-99036	190	6	,	,	PUNCT
esrj-99036	190	7	vaquera	vaquera	PROPN
esrj-99036	190	8	,	,	PUNCT
esrj-99036	190	9	h.	h.	PROPN
esrj-99036	190	10	,	,	PUNCT
esrj-99036	190	11	villaseñor	villaseñor	PROPN
esrj-99036	190	12	,	,	PUNCT
esrj-99036	190	13	j.	j.	PROPN
esrj-99036	190	14	a.	a.	PROPN
esrj-99036	190	15	,	,	PUNCT
esrj-99036	190	16	valdez	valdez	PROPN
esrj-99036	190	17	,	,	PUNCT
esrj-99036	190	18	l.	l.	PROPN
esrj-99036	190	19	j.	j.	PROPN
esrj-99036	190	20	r.	r.	PROPN
esrj-99036	190	21	,	,	PUNCT
esrj-99036	190	22	&	&	CCONJ
esrj-99036	190	23	rosengaus	rosengaus	PROPN
esrj-99036	190	24	,	,	PUNCT
esrj-99036	190	25	m.	m.	NOUN
esrj-99036	190	26	(	(	PUNCT
esrj-99036	190	27	2014	2014	NUM
esrj-99036	190	28	)	)	PUNCT
esrj-99036	190	29	.	.	PUNCT
esrj-99036	191	1	metodología	metodología	PROPN
esrj-99036	191	2	para	para	PROPN
esrj-99036	191	3	investigar	investigar	PROPN
esrj-99036	191	4	tendencias	tendencias	PROPN
esrj-99036	191	5	espacio	espacio	PROPN
esrj-99036	191	6	-	-	PUNCT
esrj-99036	191	7	temporales	temporales	PROPN
esrj-99036	191	8	en	en	ADP
esrj-99036	191	9	eventos	eventos	PROPN
esrj-99036	191	10	meteorológicos	meteorológicos	PROPN
esrj-99036	191	11	extremos	extremos	PROPN
esrj-99036	191	12	:	:	PUNCT
esrj-99036	191	13	caso	caso	PROPN
esrj-99036	191	14	durango	durango	PROPN
esrj-99036	191	15	,	,	PUNCT
esrj-99036	191	16	méxico	méxico	PROPN
esrj-99036	191	17	.	.	PUNCT
esrj-99036	192	1	tecnología	tecnología	PROPN
esrj-99036	192	2	y	y	PROPN
esrj-99036	192	3	ciencias	ciencias	PROPN
esrj-99036	192	4	del	del	PROPN
esrj-99036	192	5	agua	agua	PROPN
esrj-99036	192	6	,	,	PUNCT
esrj-99036	192	7	5(6	5(6	NUM
esrj-99036	192	8	)	)	PUNCT
esrj-99036	192	9	,	,	PUNCT
esrj-99036	192	10	25	25	NUM
esrj-99036	192	11	-	-	SYM
esrj-99036	192	12	39	39	NUM
esrj-99036	192	13	.	.	PUNCT
esrj-99036	193	1	http://www.scielo.org.mx/pdf/tca/v5n6/	http://www.scielo.org.mx/pdf/tca/v5n6/	PROPN
esrj-99036	193	2	v5n6a2.pdf	v5n6a2.pdf	PROPN
esrj-99036	193	3	campos	campos	PROPN
esrj-99036	193	4	,	,	PUNCT
esrj-99036	193	5	a.	a.	PROPN
esrj-99036	193	6	d.	d.	PROPN
esrj-99036	193	7	f.	f.	PROPN
esrj-99036	193	8	(	(	PUNCT
esrj-99036	193	9	2014	2014	NUM
esrj-99036	193	10	)	)	PUNCT
esrj-99036	193	11	.	.	PUNCT
esrj-99036	194	1	estimación	estimación	PROPN
esrj-99036	194	2	probabilística	probabilística	PROPN
esrj-99036	194	3	de	de	PROPN
esrj-99036	194	4	crecientes	creciente	VERB
esrj-99036	194	5	estacionales	estacionale	NOUN
esrj-99036	194	6	con	con	PROPN
esrj-99036	194	7	base	base	PROPN
esrj-99036	194	8	en	en	PROPN
esrj-99036	194	9	registros	registros	PROPN
esrj-99036	194	10	mensuales	mensuale	NOUN
esrj-99036	194	11	de	de	PROPN
esrj-99036	194	12	gasto	gasto	PROPN
esrj-99036	194	13	máximo	máximo	PROPN
esrj-99036	194	14	.	.	PUNCT
esrj-99036	195	1	tecnología	tecnología	PROPN
esrj-99036	195	2	y	y	PROPN
esrj-99036	195	3	ciencias	ciencias	PROPN
esrj-99036	195	4	del	del	PROPN
esrj-99036	195	5	agua	agua	PROPN
esrj-99036	195	6	,	,	PUNCT
esrj-99036	195	7	5(6	5(6	NUM
esrj-99036	195	8	)	)	PUNCT
esrj-99036	195	9	,	,	PUNCT
esrj-99036	195	10	177	177	NUM
esrj-99036	195	11	-	-	SYM
esrj-99036	195	12	18	18	NUM
esrj-99036	195	13	.	.	PUNCT
esrj-99036	196	1	http://www.scielo.org.mx/scielo.php?script=sci	http://www.scielo.org.mx/scielo.php?script=sci	PROPN
esrj-99036	196	2	_	_	NOUN
esrj-99036	196	3	abstract&pid	abstract&pid	NUM
esrj-99036	197	1	=	=	NOUN
esrj-99036	197	2	s2007	s2007	NOUN
esrj-99036	197	3	-	-	PUNCT
esrj-99036	197	4	24222014000600013&lng	24222014000600013&lng	NUM
esrj-99036	197	5	=	=	SYM
esrj-99036	197	6	es&nrm	es&nrm	NOUN
esrj-99036	197	7	=	=	NOUN
esrj-99036	197	8	iso&tlng	iso&tlng	NOUN
esrj-99036	197	9	=	=	NOUN
esrj-99036	197	10	es	es	X
esrj-99036	197	11	campos	campos	PROPN
esrj-99036	197	12	,	,	PUNCT
esrj-99036	197	13	a.	a.	PROPN
esrj-99036	197	14	d.	d.	PROPN
esrj-99036	197	15	f.	f.	PROPN
esrj-99036	197	16	(	(	PUNCT
esrj-99036	197	17	2016	2016	NUM
esrj-99036	197	18	)	)	PUNCT
esrj-99036	197	19	.	.	PUNCT
esrj-99036	198	1	ajuste	ajuste	PROPN
esrj-99036	198	2	de	de	PROPN
esrj-99036	198	3	distribuciones	distribuciones	PROPN
esrj-99036	198	4	gve	gve	PROPN
esrj-99036	198	5	,	,	PUNCT
esrj-99036	198	6	log	log	VERB
esrj-99036	198	7	y	y	PROPN
esrj-99036	198	8	pag	pag	PROPN
esrj-99036	198	9	con	con	PROPN
esrj-99036	198	10	momentos	momentos	PROPN
esrj-99036	198	11	l	l	PROPN
esrj-99036	198	12	de	de	PROPN
esrj-99036	198	13	orden	orden	PROPN
esrj-99036	198	14	mayor	mayor	PROPN
esrj-99036	198	15	.	.	PUNCT
esrj-99036	199	1	ingeniería	ingeniería	PROPN
esrj-99036	199	2	,	,	PUNCT
esrj-99036	199	3	investigación	investigación	PROPN
esrj-99036	199	4	y	y	PROPN
esrj-99036	199	5	tecnología	tecnología	PROPN
esrj-99036	199	6	,	,	PUNCT
esrj-99036	199	7	17(1	17(1	NUM
esrj-99036	199	8	)	)	PUNCT
esrj-99036	199	9	,	,	PUNCT
esrj-99036	199	10	131	131	NUM
esrj-99036	199	11	-	-	SYM
esrj-99036	199	12	142	142	NUM
esrj-99036	199	13	.	.	PUNCT
esrj-99036	200	1	http://www.scielo.org.mx/scielo.php?pid=s140577432016000100131&script=sci_abstract	http://www.scielo.org.mx/scielo.php?pid=s140577432016000100131&script=sci_abstract	PROPN
esrj-99036	200	2	chapman	chapman	PROPN
esrj-99036	200	3	,	,	PUNCT
esrj-99036	200	4	s.	s.	PROPN
esrj-99036	200	5	c.	c.	PROPN
esrj-99036	200	6	,	,	PUNCT
esrj-99036	200	7	watkins	watkins	PROPN
esrj-99036	200	8	,	,	PUNCT
esrj-99036	200	9	n.	n.	NOUN
esrj-99036	200	10	,	,	PUNCT
esrj-99036	200	11	&	&	CCONJ
esrj-99036	200	12	stainforth	stainforth	PROPN
esrj-99036	200	13	,	,	PUNCT
esrj-99036	200	14	d.	d.	PROPN
esrj-99036	200	15	a.	a.	PROPN
esrj-99036	200	16	(	(	PUNCT
esrj-99036	200	17	2019	2019	NUM
esrj-99036	200	18	)	)	PUNCT
esrj-99036	200	19	.	.	PUNCT
esrj-99036	201	1	warming	warm	VERB
esrj-99036	201	2	trends	trend	NOUN
esrj-99036	201	3	in	in	ADP
esrj-99036	201	4	summer	summer	NOUN
esrj-99036	201	5	heatwaves	heatwave	NOUN
esrj-99036	201	6	.	.	PUNCT
esrj-99036	202	1	geophysical	geophysical	ADJ
esrj-99036	202	2	research	research	NOUN
esrj-99036	202	3	letters	letter	NOUN
esrj-99036	202	4	,	,	PUNCT
esrj-99036	202	5	46	46	NUM
esrj-99036	202	6	,	,	PUNCT
esrj-99036	202	7	1634–1640	1634–1640	NUM
esrj-99036	202	8	.	.	PUNCT
esrj-99036	203	1	https://doi.org/10.1029/2018gl081004	https://doi.org/10.1029/2018gl081004	PUNCT
esrj-99036	203	2	chow	chow	NOUN
esrj-99036	203	3	,	,	PUNCT
esrj-99036	203	4	v.	v.	PROPN
esrj-99036	203	5	t.	t.	PROPN
esrj-99036	203	6	,	,	PUNCT
esrj-99036	203	7	maidment	maidment	NOUN
esrj-99036	203	8	,	,	PUNCT
esrj-99036	203	9	r.	r.	PROPN
esrj-99036	203	10	d.	d.	PROPN
esrj-99036	203	11	,	,	PUNCT
esrj-99036	203	12	&	&	CCONJ
esrj-99036	203	13	mays	mays	PROPN
esrj-99036	203	14	,	,	PUNCT
esrj-99036	203	15	w.	w.	PROPN
esrj-99036	203	16	l.	l.	PROPN
esrj-99036	203	17	(	(	PUNCT
esrj-99036	203	18	1994	1994	NUM
esrj-99036	203	19	)	)	PUNCT
esrj-99036	203	20	.	.	PUNCT
esrj-99036	204	1	hidrología	hidrología	PROPN
esrj-99036	204	2	aplicada	aplicada	PROPN
esrj-99036	204	3	.	.	PUNCT
esrj-99036	205	1	584	584	NUM
esrj-99036	205	2	pp	pp	NOUN
esrj-99036	205	3	.	.	PUNCT
esrj-99036	206	1	https://es.slideshare.net/luigiquispeyanapa/hidrologia-aplicada-vente-chow-116834237	https://es.slideshare.net/luigiquispeyanapa/hidrologia-aplicada-vente-chow-116834237	PROPN
esrj-99036	206	2	climate	climate	NOUN
esrj-99036	206	3	computing	computing	NOUN
esrj-99036	206	4	(	(	PUNCT
esrj-99036	206	5	clicom	clicom	PROPN
esrj-99036	206	6	)	)	PUNCT
esrj-99036	206	7	data	datum	NOUN
esrj-99036	206	8	base	base	NOUN
esrj-99036	206	9	.	.	PUNCT
esrj-99036	207	1	available	available	ADJ
esrj-99036	207	2	online	online	ADV
esrj-99036	207	3	:	:	PUNCT
esrj-99036	207	4	http://clicom	http://clicom	X
esrj-99036	207	5	-	-	NOUN
esrj-99036	207	6	mex	mex	PROPN
esrj-99036	207	7	.	.	PUNCT
esrj-99036	208	1	cicese.mx/mapa.html	cicese.mx/mapa.html	PROPN
esrj-99036	208	2	(	(	PUNCT
esrj-99036	208	3	accessed	access	VERB
esrj-99036	208	4	on	on	ADP
esrj-99036	208	5	17	17	NUM
esrj-99036	208	6	september	september	PROPN
esrj-99036	208	7	2021	2021	NUM
esrj-99036	208	8	)	)	PUNCT
esrj-99036	208	9	.	.	PUNCT
esrj-99036	209	1	cohen	cohen	PROPN
esrj-99036	209	2	,	,	PUNCT
esrj-99036	209	3	j.	j.	PROPN
esrj-99036	209	4	l.	l.	PROPN
esrj-99036	209	5	,	,	PUNCT
esrj-99036	209	6	furtado	furtado	PROPN
esrj-99036	209	7	,	,	PUNCT
esrj-99036	209	8	j.	j.	PROPN
esrj-99036	209	9	c.	c.	PROPN
esrj-99036	209	10	,	,	PUNCT
esrj-99036	209	11	barlow	barlow	PROPN
esrj-99036	209	12	,	,	PUNCT
esrj-99036	209	13	m.	m.	NOUN
esrj-99036	209	14	,	,	PUNCT
esrj-99036	209	15	alexeev	alexeev	PROPN
esrj-99036	209	16	,	,	PUNCT
esrj-99036	209	17	v.	v.	ADP
esrj-99036	209	18	a.	a.	PROPN
esrj-99036	209	19	,	,	PUNCT
esrj-99036	209	20	&	&	CCONJ
esrj-99036	209	21	cherry	cherry	PROPN
esrj-99036	209	22	,	,	PUNCT
esrj-99036	209	23	j.	j.	PROPN
esrj-99036	209	24	e.	e.	PROPN
esrj-99036	209	25	(	(	PUNCT
esrj-99036	209	26	2012	2012	NUM
esrj-99036	209	27	)	)	PUNCT
esrj-99036	209	28	.	.	PUNCT
esrj-99036	210	1	asymmetric	asymmetric	ADJ
esrj-99036	210	2	seasonal	seasonal	ADJ
esrj-99036	210	3	temperature	temperature	NOUN
esrj-99036	210	4	trends	trend	NOUN
esrj-99036	210	5	.	.	PUNCT
esrj-99036	211	1	geophysical	geophysical	ADJ
esrj-99036	211	2	research	research	NOUN
esrj-99036	211	3	letters	letter	NOUN
esrj-99036	211	4	,	,	PUNCT
esrj-99036	211	5	39(4	39(4	NOUN
esrj-99036	211	6	)	)	PUNCT
esrj-99036	211	7	.	.	PUNCT
esrj-99036	212	1	https://doi.org/10.1029/2011gl050582	https://doi.org/10.1029/2011gl050582	NOUN
esrj-99036	212	2	demisse	demisse	NOUN
esrj-99036	212	3	,	,	PUNCT
esrj-99036	212	4	m.	m.	NOUN
esrj-99036	212	5	u.	u.	PROPN
esrj-99036	212	6	,	,	PUNCT
esrj-99036	212	7	addisu	addisu	PROPN
esrj-99036	212	8	,	,	PUNCT
esrj-99036	212	9	l.	l.	PROPN
esrj-99036	212	10	s.	s.	PROPN
esrj-99036	212	11	,	,	PUNCT
esrj-99036	212	12	bazezew	bazezew	PROPN
esrj-99036	212	13	,	,	PUNCT
esrj-99036	212	14	b.	b.	PROPN
esrj-99036	212	15	a.	a.	PROPN
esrj-99036	212	16	,	,	PUNCT
esrj-99036	212	17	&	&	CCONJ
esrj-99036	212	18	azhar	azhar	PROPN
esrj-99036	212	19	,	,	PUNCT
esrj-99036	212	20	e.	e.	PROPN
esrj-99036	212	21	m.	m.	PROPN
esrj-99036	212	22	(	(	PUNCT
esrj-99036	212	23	2022	2022	NUM
esrj-99036	212	24	)	)	PUNCT
esrj-99036	212	25	.	.	PUNCT
esrj-99036	213	1	climate	climate	NOUN
esrj-99036	213	2	change	change	NOUN
esrj-99036	213	3	repercussions	repercussion	NOUN
esrj-99036	213	4	on	on	ADP
esrj-99036	213	5	meteorological	meteorological	ADJ
esrj-99036	213	6	drought	drought	NOUN
esrj-99036	213	7	frequency	frequency	NOUN
esrj-99036	213	8	and	and	CCONJ
esrj-99036	213	9	intensity	intensity	NOUN
esrj-99036	213	10	in	in	ADP
esrj-99036	213	11	south	south	PROPN
esrj-99036	213	12	wollo	wollo	PROPN
esrj-99036	213	13	,	,	PUNCT
esrj-99036	213	14	ethiopia	ethiopia	PROPN
esrj-99036	213	15	.	.	PUNCT
esrj-99036	213	16	earth	earth	NOUN
esrj-99036	213	17	systems	system	NOUN
esrj-99036	213	18	and	and	CCONJ
esrj-99036	213	19	environment	environment	NOUN
esrj-99036	213	20	,	,	PUNCT
esrj-99036	213	21	6	6	NUM
esrj-99036	213	22	,	,	PUNCT
esrj-99036	213	23	645–655	645–655	NUM
esrj-99036	213	24	.	.	PUNCT
esrj-99036	214	1	https://doi.org/10.1007/s41748-022-00293-2	https://doi.org/10.1007/s41748-022-00293-2	NUM
esrj-99036	214	2	deng	deng	PROPN
esrj-99036	214	3	,	,	PUNCT
esrj-99036	214	4	p.	p.	PROPN
esrj-99036	214	5	,	,	PUNCT
esrj-99036	214	6	&	&	CCONJ
esrj-99036	214	7	zhu	zhu	PROPN
esrj-99036	214	8	,	,	PUNCT
esrj-99036	214	9	j.	j.	PROPN
esrj-99036	214	10	(	(	PUNCT
esrj-99036	214	11	2021	2021	NUM
esrj-99036	214	12	)	)	PUNCT
esrj-99036	214	13	.	.	PUNCT
esrj-99036	215	1	forecast	forecast	NOUN
esrj-99036	215	2	and	and	CCONJ
esrj-99036	215	3	uncertainty	uncertainty	NOUN
esrj-99036	215	4	analysis	analysis	NOUN
esrj-99036	215	5	of	of	ADP
esrj-99036	215	6	extreme	extreme	ADJ
esrj-99036	215	7	precipitation	precipitation	NOUN
esrj-99036	215	8	in	in	ADP
esrj-99036	215	9	china	china	PROPN
esrj-99036	215	10	from	from	ADP
esrj-99036	215	11	ensemble	ensemble	ADJ
esrj-99036	215	12	of	of	ADP
esrj-99036	215	13	multiple	multiple	ADJ
esrj-99036	215	14	climate	climate	NOUN
esrj-99036	215	15	models	model	NOUN
esrj-99036	215	16	.	.	PUNCT
esrj-99036	216	1	theoretical	theoretical	ADJ
esrj-99036	216	2	and	and	CCONJ
esrj-99036	216	3	applied	applied	ADJ
esrj-99036	216	4	climatology	climatology	NOUN
esrj-99036	216	5	,	,	PUNCT
esrj-99036	216	6	145	145	NUM
esrj-99036	216	7	,	,	PUNCT
esrj-99036	216	8	787–805	787–805	NUM
esrj-99036	216	9	.	.	PUNCT
esrj-99036	217	1	https://www	https://www	PROPN
esrj-99036	217	2	.	.	PUNCT
esrj-99036	218	1	researchsquare.com/article/rs-209537/v1	researchsquare.com/article/rs-209537/v1	PROPN
esrj-99036	218	2	fiscal	fiscal	ADJ
esrj-99036	218	3	,	,	PUNCT
esrj-99036	218	4	c.	c.	PROPN
esrj-99036	218	5	b.	b.	PROPN
esrj-99036	218	6	,	,	PUNCT
esrj-99036	218	7	restrepo	restrepo	PROPN
esrj-99036	218	8	,	,	PUNCT
esrj-99036	218	9	b.	b.	PROPN
esrj-99036	218	10	l.	l.	PROPN
esrj-99036	218	11	f.	f.	PROPN
esrj-99036	218	12	,	,	PUNCT
esrj-99036	218	13	&	&	CCONJ
esrj-99036	218	14	rodríguez	rodríguez	PROPN
esrj-99036	218	15	,	,	PUNCT
esrj-99036	218	16	e.	e.	PROPN
esrj-99036	218	17	h.	h.	PROPN
esrj-99036	218	18	(	(	PUNCT
esrj-99036	218	19	2017	2017	NUM
esrj-99036	218	20	)	)	PUNCT
esrj-99036	218	21	.	.	PUNCT
esrj-99036	219	1	estructura	estructura	PROPN
esrj-99036	219	2	productiva	productiva	PROPN
esrj-99036	219	3	agrícola	agrícola	PROPN
esrj-99036	219	4	del	del	PROPN
esrj-99036	219	5	estado	estado	PROPN
esrj-99036	219	6	de	de	X
esrj-99036	219	7	sinaloa	sinaloa	PROPN
esrj-99036	219	8	,	,	PUNCT
esrj-99036	219	9	méxico	méxico	PROPN
esrj-99036	219	10	,	,	PUNCT
esrj-99036	219	11	y	y	PROPN
esrj-99036	219	12	el	el	PROPN
esrj-99036	219	13	tratado	tratado	PROPN
esrj-99036	219	14	de	de	PROPN
esrj-99036	219	15	libre	libre	PROPN
esrj-99036	219	16	comercio	comercio	PROPN
esrj-99036	219	17	de	de	PROPN
esrj-99036	219	18	américa	américa	PROPN
esrj-99036	219	19	del	del	PROPN
esrj-99036	219	20	norte	norte	PROPN
esrj-99036	219	21	(	(	PUNCT
esrj-99036	219	22	tlcan	tlcan	PROPN
esrj-99036	219	23	)	)	PUNCT
esrj-99036	219	24	.	.	PUNCT
esrj-99036	220	1	chilean	chilean	PROPN
esrj-99036	220	2	journal	journal	PROPN
esrj-99036	220	3	of	of	ADP
esrj-99036	220	4	agricultural	agricultural	ADJ
esrj-99036	220	5	&	&	CCONJ
esrj-99036	220	6	animal	animal	NOUN
esrj-99036	220	7	sciences	science	NOUN
esrj-99036	220	8	,	,	PUNCT
esrj-99036	220	9	ex	ex	NOUN
esrj-99036	220	10	agro	agro	ADJ
esrj-99036	220	11	-	-	PUNCT
esrj-99036	220	12	ciencia	ciencia	NOUN
esrj-99036	220	13	,	,	PUNCT
esrj-99036	220	14	33(1	33(1	NUM
esrj-99036	220	15	)	)	PUNCT
esrj-99036	220	16	,	,	PUNCT
esrj-99036	220	17	14	14	NUM
esrj-99036	220	18	-	-	SYM
esrj-99036	220	19	23	23	NUM
esrj-99036	220	20	.	.	PUNCT
esrj-99036	221	1	https://scielo.conicyt.cl/scielo	https://scielo.conicyt.cl/scielo	PROPN
esrj-99036	221	2	.	.	PUNCT
esrj-99036	222	1	php?pid	php?pid	X
esrj-99036	222	2	=	=	VERB
esrj-99036	222	3	s0719	s0719	NOUN
esrj-99036	222	4	-	-	PUNCT
esrj-99036	222	5	38902017000100102&script	38902017000100102&script	NUM
esrj-99036	222	6	=	=	NOUN
esrj-99036	222	7	sci_abstract	sci_abstract	NOUN
esrj-99036	222	8	flores	flore	NOUN
esrj-99036	222	9	,	,	PUNCT
esrj-99036	222	10	c.	c.	PROPN
esrj-99036	222	11	l.	l.	PROPN
esrj-99036	222	12	m.	m.	PROPN
esrj-99036	222	13	,	,	PUNCT
esrj-99036	222	14	arzola	arzola	PROPN
esrj-99036	222	15	,	,	PUNCT
esrj-99036	222	16	g.	g.	PROPN
esrj-99036	222	17	j.	j.	PROPN
esrj-99036	222	18	f.	f.	PROPN
esrj-99036	222	19	,	,	PUNCT
esrj-99036	222	20	ramírez	ramírez	NOUN
esrj-99036	222	21	,	,	PUNCT
esrj-99036	222	22	s.	s.	PROPN
esrj-99036	222	23	m.	m.	PROPN
esrj-99036	222	24	,	,	PUNCT
esrj-99036	222	25	&	&	CCONJ
esrj-99036	222	26	osorio	osorio	PROPN
esrj-99036	222	27	,	,	PUNCT
esrj-99036	222	28	p.	p.	NOUN
esrj-99036	222	29	a.	a.	NOUN
esrj-99036	223	1	(	(	PUNCT
esrj-99036	223	2	2012	2012	NUM
esrj-99036	223	3	)	)	PUNCT
esrj-99036	223	4	.	.	PUNCT
esrj-99036	224	1	repercusiones	repercusione	NOUN
esrj-99036	224	2	del	del	PROPN
esrj-99036	224	3	cambio	cambio	PROPN
esrj-99036	224	4	climático	climático	NOUN
esrj-99036	224	5	global	global	PROPN
esrj-99036	224	6	en	en	PROPN
esrj-99036	224	7	el	el	PROPN
esrj-99036	224	8	estado	estado	PROPN
esrj-99036	224	9	de	de	PROPN
esrj-99036	224	10	sinaloa	sinaloa	PROPN
esrj-99036	224	11	,	,	PUNCT
esrj-99036	224	12	méxico	méxico	PROPN
esrj-99036	224	13	.	.	PUNCT
esrj-99036	225	1	cuadernos	cuadernos	PROPN
esrj-99036	225	2	de	de	PROPN
esrj-99036	225	3	geografía	geografía	PROPN
esrj-99036	225	4	revista	revista	PROPN
esrj-99036	225	5	colombiana	colombiana	PROPN
esrj-99036	225	6	de	de	PROPN
esrj-99036	225	7	geografía	geografía	PROPN
esrj-99036	225	8	,	,	PUNCT
esrj-99036	225	9	21(1	21(1	NUM
esrj-99036	225	10	)	)	PUNCT
esrj-99036	225	11	,	,	PUNCT
esrj-99036	225	12	115	115	NUM
esrj-99036	225	13	-	-	SYM
esrj-99036	225	14	129	129	NUM
esrj-99036	225	15	.	.	PUNCT
esrj-99036	226	1	https://www.redalyc.org/pdf/2818/281822849009.pdf	https://www.redalyc.org/pdf/2818/281822849009.pdf	PROPN
esrj-99036	226	2	fontanelli	fontanelli	NOUN
esrj-99036	226	3	,	,	PUNCT
esrj-99036	226	4	o.	o.	PROPN
esrj-99036	226	5	,	,	PUNCT
esrj-99036	226	6	mansilla	mansilla	PROPN
esrj-99036	226	7	,	,	PUNCT
esrj-99036	226	8	r.	r.	PROPN
esrj-99036	226	9	,	,	PUNCT
esrj-99036	226	10	&	&	CCONJ
esrj-99036	226	11	miramontes	miramontes	PROPN
esrj-99036	226	12	,	,	PUNCT
esrj-99036	226	13	p.	p.	NOUN
esrj-99036	226	14	(	(	PUNCT
esrj-99036	226	15	2019	2019	NUM
esrj-99036	226	16	)	)	PUNCT
esrj-99036	226	17	.	.	PUNCT
esrj-99036	227	1	distribuciones	distribuciones	PROPN
esrj-99036	227	2	de	de	X
esrj-99036	227	3	probabilidad	probabilidad	PROPN
esrj-99036	227	4	en	en	PROPN
esrj-99036	227	5	las	las	PROPN
esrj-99036	227	6	ciencias	ciencias	PROPN
esrj-99036	227	7	de	de	PROPN
esrj-99036	227	8	la	la	PROPN
esrj-99036	227	9	complejidad	complejidad	PROPN
esrj-99036	227	10	:	:	PUNCT
esrj-99036	228	1	una	una	PROPN
esrj-99036	228	2	perspectiva	perspectiva	PROPN
esrj-99036	228	3	contemporánea	contemporánea	PROPN
esrj-99036	228	4	.	.	PUNCT
esrj-99036	229	1	interdisciplina	interdisciplina	PROPN
esrj-99036	229	2	,	,	PUNCT
esrj-99036	229	3	8(22	8(22	NUM
esrj-99036	229	4	)	)	PUNCT
esrj-99036	229	5	,	,	PUNCT
esrj-99036	229	6	11	11	NUM
esrj-99036	229	7	-	-	SYM
esrj-99036	229	8	37	37	NUM
esrj-99036	229	9	.	.	PUNCT
esrj-99036	230	1	https://doi.org/10.22201/	https://doi.org/10.22201/	PROPN
esrj-99036	230	2	ceiich.24485705e.2020.22.76416	ceiich.24485705e.2020.22.76416	ADP
esrj-99036	230	3	franzke	franzke	NOUN
esrj-99036	230	4	,	,	PUNCT
esrj-99036	231	1	c.	c.	PROPN
esrj-99036	231	2	l.	l.	PROPN
esrj-99036	231	3	e.	e.	PROPN
esrj-99036	231	4	(	(	PUNCT
esrj-99036	231	5	2015	2015	NUM
esrj-99036	231	6	)	)	PUNCT
esrj-99036	231	7	.	.	PUNCT
esrj-99036	232	1	local	local	ADJ
esrj-99036	232	2	trend	trend	NOUN
esrj-99036	232	3	disparities	disparity	NOUN
esrj-99036	232	4	of	of	ADP
esrj-99036	232	5	european	european	ADJ
esrj-99036	232	6	minimum	minimum	ADJ
esrj-99036	232	7	and	and	CCONJ
esrj-99036	232	8	maximum	maximum	ADJ
esrj-99036	232	9	temperature	temperature	NOUN
esrj-99036	232	10	extremes	extreme	NOUN
esrj-99036	232	11	.	.	PUNCT
esrj-99036	233	1	geophysical	geophysical	ADJ
esrj-99036	233	2	research	research	NOUN
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esrj-99036	233	4	,	,	PUNCT
esrj-99036	233	5	42	42	NUM
esrj-99036	233	6	,	,	PUNCT
esrj-99036	233	7	6479–6484	6479–6484	NOUN
esrj-99036	233	8	.	.	PUNCT
esrj-99036	234	1	https://doi.org/10.1002/2015gl065011	https://doi.org/10.1002/2015gl065011	PROPN
esrj-99036	234	2	garry	garry	PROPN
esrj-99036	234	3	,	,	PUNCT
esrj-99036	234	4	f.	f.	PROPN
esrj-99036	234	5	k.	k.	PROPN
esrj-99036	234	6	,	,	PUNCT
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esrj-99036	234	8	,	,	PUNCT
esrj-99036	234	9	e.	e.	PROPN
esrj-99036	234	10	l.	l.	PROPN
esrj-99036	234	11	,	,	PUNCT
esrj-99036	234	12	blaker	blaker	PROPN
esrj-99036	234	13	,	,	PUNCT
esrj-99036	234	14	a.	a.	NOUN
esrj-99036	234	15	t.	t.	PROPN
esrj-99036	234	16	,	,	PUNCT
esrj-99036	234	17	roberts	roberts	PROPN
esrj-99036	234	18	,	,	PUNCT
esrj-99036	234	19	c.	c.	PROPN
esrj-99036	234	20	d.	d.	PROPN
esrj-99036	234	21	,	,	PUNCT
esrj-99036	234	22	desbruyères	desbruyère	NOUN
esrj-99036	234	23	,	,	PUNCT
esrj-99036	234	24	d.	d.	PROPN
esrj-99036	234	25	g.	g.	PROPN
esrj-99036	234	26	,	,	PUNCT
esrj-99036	234	27	frajka	frajka	PROPN
esrj-99036	234	28	,	,	PUNCT
esrj-99036	234	29	w.	w.	PROPN
esrj-99036	234	30	e.	e.	PROPN
esrj-99036	234	31	,	,	PUNCT
esrj-99036	234	32	&	&	CCONJ
esrj-99036	234	33	king	king	PROPN
esrj-99036	234	34	,	,	PUNCT
esrj-99036	234	35	b.	b.	PROPN
esrj-99036	234	36	a.	a.	PROPN
esrj-99036	234	37	(	(	PUNCT
esrj-99036	234	38	2019	2019	NUM
esrj-99036	234	39	)	)	PUNCT
esrj-99036	234	40	.	.	PUNCT
esrj-99036	235	1	model	model	NOUN
esrj-99036	235	2	-	-	PUNCT
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esrj-99036	235	5	in	in	ADP
esrj-99036	235	6	deep	deep	ADJ
esrj-99036	235	7	ocean	ocean	NOUN
esrj-99036	235	8	temperature	temperature	NOUN
esrj-99036	235	9	trends	trend	NOUN
esrj-99036	235	10	between	between	ADP
esrj-99036	235	11	1990	1990	NUM
esrj-99036	235	12	and	and	CCONJ
esrj-99036	235	13	2010	2010	NUM
esrj-99036	235	14	.	.	PUNCT
esrj-99036	236	1	journal	journal	NOUN
esrj-99036	236	2	of	of	ADP
esrj-99036	236	3	geophysical	geophysical	ADJ
esrj-99036	236	4	research	research	NOUN
esrj-99036	236	5	:	:	PUNCT
esrj-99036	236	6	oceans	ocean	NOUN
esrj-99036	236	7	,	,	PUNCT
esrj-99036	236	8	124	124	NUM
esrj-99036	236	9	,	,	PUNCT
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esrj-99036	236	11	.	.	PUNCT
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esrj-99036	237	14	)	)	PUNCT
esrj-99036	237	15	.	.	PUNCT
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esrj-99036	238	2	and	and	CCONJ
esrj-99036	238	3	trends	trend	NOUN
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esrj-99036	238	6	,	,	PUNCT
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esrj-99036	238	8	and	and	CCONJ
esrj-99036	238	9	mean	mean	ADJ
esrj-99036	238	10	temperature	temperature	NOUN
esrj-99036	238	11	series	series	NOUN
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esrj-99036	238	14	.	.	PUNCT
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esrj-99036	239	4	,	,	PUNCT
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esrj-99036	239	7	,	,	PUNCT
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esrj-99036	239	9	-	-	SYM
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esrj-99036	240	7	2015	2015	NUM
esrj-99036	240	8	)	)	PUNCT
esrj-99036	240	9	.	.	PUNCT
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esrj-99036	242	1	[	[	X
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esrj-99036	247	3	oct.–dec	oct.–dec	PROPN
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esrj-99036	247	5	,	,	PUNCT
esrj-99036	247	6	65	65	NUM
esrj-99036	247	7	-	-	SYM
esrj-99036	247	8	76	76	NUM
esrj-99036	247	9	.	.	PUNCT
esrj-99036	248	1	gudko	gudko	PROPN
esrj-99036	248	2	,	,	PUNCT
esrj-99036	248	3	v.	v.	ADV
esrj-99036	248	4	,	,	PUNCT
esrj-99036	248	5	usatov	usatov	NOUN
esrj-99036	248	6	,	,	PUNCT
esrj-99036	248	7	a.	a.	NOUN
esrj-99036	248	8	,	,	PUNCT
esrj-99036	248	9	ioshpa	ioshpa	NOUN
esrj-99036	248	10	,	,	PUNCT
esrj-99036	248	11	a.	a.	NOUN
esrj-99036	248	12	,	,	PUNCT
esrj-99036	248	13	denisenko	denisenko	PROPN
esrj-99036	248	14	,	,	PUNCT
esrj-99036	248	15	y.	y.	PROPN
esrj-99036	248	16	,	,	PUNCT
esrj-99036	248	17	shevtsova	shevtsova	X
esrj-99036	248	18	,	,	PUNCT
esrj-99036	248	19	v.	v.	ADV
esrj-99036	248	20	,	,	PUNCT
esrj-99036	248	21	&	&	CCONJ
esrj-99036	248	22	azarin	azarin	PROPN
esrj-99036	248	23	,	,	PUNCT
esrj-99036	248	24	k.	k.	PROPN
esrj-99036	248	25	(	(	PUNCT
esrj-99036	248	26	2021	2021	NUM
esrj-99036	248	27	)	)	PUNCT
esrj-99036	248	28	.	.	PUNCT
esrj-99036	249	1	agro	agro	ADJ
esrj-99036	249	2	-	-	PUNCT
esrj-99036	249	3	climatic	climatic	ADJ
esrj-99036	249	4	conditions	condition	NOUN
esrj-99036	249	5	of	of	ADP
esrj-99036	249	6	the	the	DET
esrj-99036	249	7	southern	southern	ADJ
esrj-99036	249	8	federal	federal	ADJ
esrj-99036	249	9	district	district	NOUN
esrj-99036	249	10	of	of	ADP
esrj-99036	249	11	russia	russia	PROPN
esrj-99036	249	12	in	in	ADP
esrj-99036	249	13	the	the	DET
esrj-99036	249	14	context	context	NOUN
esrj-99036	249	15	of	of	ADP
esrj-99036	249	16	climate	climate	NOUN
esrj-99036	249	17	change	change	NOUN
esrj-99036	249	18	.	.	PUNCT
esrj-99036	250	1	theoretical	theoretical	ADJ
esrj-99036	250	2	and	and	CCONJ
esrj-99036	250	3	applied	applied	ADJ
esrj-99036	250	4	climatology	climatology	NOUN
esrj-99036	250	5	.	.	PUNCT
esrj-99036	251	1	https://doi.org/10.1007/s00704-021-03677-y	https://doi.org/10.1007/s00704-021-03677-y	PROPN
esrj-99036	251	2	gurung	gurung	PROPN
esrj-99036	251	3	,	,	PUNCT
esrj-99036	251	4	b.	b.	PROPN
esrj-99036	251	5	,	,	PUNCT
esrj-99036	251	6	sarkar	sarkar	PROPN
esrj-99036	251	7	,	,	PUNCT
esrj-99036	251	8	k.	k.	PROPN
esrj-99036	252	1	p.	p.	PROPN
esrj-99036	252	2	,	,	PUNCT
esrj-99036	252	3	singh	singh	PROPN
esrj-99036	252	4	,	,	PUNCT
esrj-99036	252	5	k.	k.	PROPN
esrj-99036	252	6	n.	n.	PROPN
esrj-99036	252	7	,	,	PUNCT
esrj-99036	252	8	&	&	CCONJ
esrj-99036	252	9	lama	lama	PROPN
esrj-99036	252	10	,	,	PUNCT
esrj-99036	252	11	a.	a.	NOUN
esrj-99036	252	12	(	(	PUNCT
esrj-99036	252	13	2021	2021	NUM
esrj-99036	252	14	)	)	PUNCT
esrj-99036	252	15	.	.	PUNCT
esrj-99036	253	1	modelling	model	VERB
esrj-99036	253	2	annual	annual	ADJ
esrj-99036	253	3	maximum	maximum	ADJ
esrj-99036	253	4	temperature	temperature	NOUN
esrj-99036	253	5	of	of	ADP
esrj-99036	253	6	india	india	PROPN
esrj-99036	253	7	:	:	PUNCT
esrj-99036	253	8	a	a	DET
esrj-99036	253	9	distributional	distributional	ADJ
esrj-99036	253	10	approach	approach	NOUN
esrj-99036	253	11	.	.	PUNCT
esrj-99036	254	1	theoretical	theoretical	ADJ
esrj-99036	254	2	and	and	CCONJ
esrj-99036	254	3	applied	applied	ADJ
esrj-99036	254	4	climatology	climatology	NOUN
esrj-99036	254	5	,	,	PUNCT
esrj-99036	254	6	145	145	NUM
esrj-99036	254	7	,	,	PUNCT
esrj-99036	254	8	979–988	979–988	NUM
esrj-99036	254	9	.	.	PUNCT
esrj-99036	255	1	https://doi.org/10.1007/s00704021-03674-1	https://doi.org/10.1007/s00704021-03674-1	PROPN
esrj-99036	255	2	habibi	habibi	PROPN
esrj-99036	255	3	,	,	PUNCT
esrj-99036	255	4	b.	b.	PROPN
esrj-99036	255	5	,	,	PUNCT
esrj-99036	255	6	&	&	CCONJ
esrj-99036	255	7	meddi	meddi	NOUN
esrj-99036	255	8	,	,	PUNCT
esrj-99036	255	9	m.	m.	NOUN
esrj-99036	255	10	(	(	PUNCT
esrj-99036	255	11	2021	2021	NUM
esrj-99036	255	12	)	)	PUNCT
esrj-99036	255	13	.	.	PUNCT
esrj-99036	256	1	meteorological	meteorological	ADJ
esrj-99036	256	2	drought	drought	NOUN
esrj-99036	256	3	hazard	hazard	NOUN
esrj-99036	256	4	analysis	analysis	NOUN
esrj-99036	256	5	of	of	ADP
esrj-99036	256	6	wheat	wheat	NOUN
esrj-99036	256	7	production	production	NOUN
esrj-99036	256	8	in	in	ADP
esrj-99036	256	9	the	the	DET
esrj-99036	256	10	semi	semi	ADJ
esrj-99036	256	11	-	-	ADJ
esrj-99036	256	12	arid	arid	ADJ
esrj-99036	256	13	basin	basin	NOUN
esrj-99036	256	14	of	of	ADP
esrj-99036	256	15	cheliff	cheliff	NOUN
esrj-99036	256	16	–	–	PUNCT
esrj-99036	256	17	zahrez	zahrez	PROPN
esrj-99036	256	18	nord	nord	PROPN
esrj-99036	256	19	,	,	PUNCT
esrj-99036	256	20	algeria	algeria	PROPN
esrj-99036	256	21	.	.	PUNCT
esrj-99036	257	1	arabian	arabian	ADJ
esrj-99036	257	2	journal	journal	PROPN
esrj-99036	257	3	of	of	ADP
esrj-99036	257	4	geosciences	geoscience	NOUN
esrj-99036	257	5	,	,	PUNCT
esrj-99036	257	6	14	14	NUM
esrj-99036	257	7	,	,	PUNCT
esrj-99036	257	8	1045	1045	NUM
esrj-99036	257	9	.	.	PUNCT
esrj-99036	258	1	https://doi.org/10.1007/	https://doi.org/10.1007/	PROPN
esrj-99036	258	2	s12517	s12517	PROPN
esrj-99036	258	3	-	-	PUNCT
esrj-99036	258	4	021	021	NUM
esrj-99036	258	5	-	-	PUNCT
esrj-99036	258	6	07401	07401	NUM
esrj-99036	258	7	-	-	PUNCT
esrj-99036	258	8	y	y	NOUN
esrj-99036	258	9	https://doi.org/10.1007/s00704-019-02860-6	https://doi.org/10.1007/s00704-019-02860-6	NUM
esrj-99036	258	10	https://doi.org/10.1007/s00704-019-02860-6	https://doi.org/10.1007/s00704-019-02860-6	NUM
esrj-99036	259	1	https://doi.org/10.1007/s00704-021-03615-y	https://doi.org/10.1007/s00704-021-03615-y	VERB
esrj-99036	259	2	https://doi.org/10.1007/s00704-021-03615-y	https://doi.org/10.1007/s00704-021-03615-y	PROPN
esrj-99036	259	3	https://doi.org/10.1186/s12874-022-01671-0	https://doi.org/10.1186/s12874-022-01671-0	ADJ
esrj-99036	259	4	http://www.scielo.org.mx/pdf/tca/v5n6/v5n6a2.pdf	http://www.scielo.org.mx/pdf/tca/v5n6/v5n6a2.pdf	ADJ
esrj-99036	259	5	http://www.scielo.org.mx/pdf/tca/v5n6/v5n6a2.pdf	http://www.scielo.org.mx/pdf/tca/v5n6/v5n6a2.pdf	NOUN
esrj-99036	259	6	http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=s2007-24222014000600013&lng=es&nrm=iso&tlng=es	http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=s2007-24222014000600013&lng=es&nrm=iso&tlng=es	NOUN
esrj-99036	259	7	http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=s2007-24222014000600013&lng=es&nrm=iso&tlng=es	http://www.scielo.org.mx/scielo.php?script=sci_abstract&pid=s2007-24222014000600013&lng=es&nrm=iso&tlng=es	NOUN
esrj-99036	260	1	http://www.scielo.org.mx/scielo.php?pid=s1405-77432016000100131&script=sci_abstract	http://www.scielo.org.mx/scielo.php?pid=s1405-77432016000100131&script=sci_abstract	PROPN
esrj-99036	260	2	http://www.scielo.org.mx/scielo.php?pid=s1405-77432016000100131&script=sci_abstract	http://www.scielo.org.mx/scielo.php?pid=s1405-77432016000100131&script=sci_abstract	PROPN
esrj-99036	260	3	https://doi.org/10.1029/2018gl081004	https://doi.org/10.1029/2018gl081004	X
esrj-99036	260	4	https://es.slideshare.net/luigiquispeyanapa/hidrologia-aplicada-ven-te-chow-116834237	https://es.slideshare.net/luigiquispeyanapa/hidrologia-aplicada-ven-te-chow-116834237	PROPN
esrj-99036	260	5	https://es.slideshare.net/luigiquispeyanapa/hidrologia-aplicada-ven-te-chow-116834237	https://es.slideshare.net/luigiquispeyanapa/hidrologia-aplicada-ven-te-chow-116834237	PROPN
esrj-99036	261	1	https://doi.org/10.1029/2011gl050582	https://doi.org/10.1029/2011gl050582	X
esrj-99036	261	2	https://doi.org/10.1007/s41748-022-00293-2	https://doi.org/10.1007/s41748-022-00293-2	NUM
esrj-99036	261	3	https://www.researchsquare.com/article/rs-209537/v1	https://www.researchsquare.com/article/rs-209537/v1	X
esrj-99036	262	1	https://www.researchsquare.com/article/rs-209537/v1	https://www.researchsquare.com/article/rs-209537/v1	X
esrj-99036	262	2	https://scielo.conicyt.cl/scielo.php?pid=s0719-38902017000100102&script=sci_abstract	https://scielo.conicyt.cl/scielo.php?pid=s0719-38902017000100102&script=sci_abstract	ADJ
esrj-99036	262	3	https://scielo.conicyt.cl/scielo.php?pid=s0719-38902017000100102&script=sci_abstract	https://scielo.conicyt.cl/scielo.php?pid=s0719-38902017000100102&script=sci_abstract	ADJ
esrj-99036	262	4	https://www.redalyc.org/pdf/2818/281822849009.pdf	https://www.redalyc.org/pdf/2818/281822849009.pdf	PROPN
esrj-99036	262	5	https://doi.org/10.22201/ceiich.24485705e.2020.22.76416	https://doi.org/10.22201/ceiich.24485705e.2020.22.76416	NUM
esrj-99036	262	6	https://doi.org/10.22201/ceiich.24485705e.2020.22.76416	https://doi.org/10.22201/ceiich.24485705e.2020.22.76416	NUM
esrj-99036	262	7	https://doi.org/10.1002/2015gl065011	https://doi.org/10.1002/2015gl065011	PROPN
esrj-99036	262	8	https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018jc014225	https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018jc014225	NOUN
esrj-99036	262	9	https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018jc014225	https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2018jc014225	ADV
esrj-99036	262	10	https://doi.org/10.1002/asl2.569	https://doi.org/10.1002/asl2.569	PUNCT
esrj-99036	263	1	https://doi.org/10.18041/1657-2815/libreempresa.2020v17n2.8027	https://doi.org/10.18041/1657-2815/libreempresa.2020v17n2.8027	PROPN
esrj-99036	263	2	https://doi.org/10.1007/s00704-021-03677-y	https://doi.org/10.1007/s00704-021-03677-y	PROPN
esrj-99036	263	3	https://doi.org/10.1007/s00704-021-03674-1	https://doi.org/10.1007/s00704-021-03674-1	PROPN
esrj-99036	263	4	https://doi.org/10.1007/s00704-021-03674-1	https://doi.org/10.1007/s00704-021-03674-1	NUM
esrj-99036	263	5	https://doi.org/10.1007/s12517-021-07401-y	https://doi.org/10.1007/s12517-021-07401-y	ADV
esrj-99036	263	6	https://doi.org/10.1007/s12517-021-07401-y	https://doi.org/10.1007/s12517-021-07401-y	ADV
esrj-99036	263	7	83calculation	83calculation	NUM
esrj-99036	263	8	of	of	ADP
esrj-99036	263	9	indicators	indicator	NOUN
esrj-99036	263	10	of	of	ADP
esrj-99036	263	11	maximum	maximum	ADJ
esrj-99036	263	12	extreme	extreme	ADJ
esrj-99036	263	13	temperature	temperature	NOUN
esrj-99036	263	14	in	in	ADP
esrj-99036	263	15	sinaloa	sinaloa	PROPN
esrj-99036	263	16	state	state	PROPN
esrj-99036	263	17	,	,	PUNCT
esrj-99036	263	18	northwestern	northwestern	PROPN
esrj-99036	263	19	mexico	mexico	PROPN
esrj-99036	263	20	hochman	hochman	PROPN
esrj-99036	263	21	,	,	PUNCT
esrj-99036	263	22	a.	a.	PROPN
esrj-99036	263	23	,	,	PUNCT
esrj-99036	263	24	marra	marra	PROPN
esrj-99036	263	25	,	,	PUNCT
esrj-99036	263	26	f.	f.	PROPN
esrj-99036	263	27	,	,	PUNCT
esrj-99036	263	28	messori	messori	PROPN
esrj-99036	263	29	,	,	PUNCT
esrj-99036	263	30	g.	g.	PROPN
esrj-99036	263	31	,	,	PUNCT
esrj-99036	263	32	pinto	pinto	NOUN
esrj-99036	263	33	,	,	PUNCT
esrj-99036	263	34	j.	j.	PROPN
esrj-99036	263	35	g.	g.	PROPN
esrj-99036	263	36	,	,	PUNCT
esrj-99036	263	37	raveh	raveh	PROPN
esrj-99036	263	38	,	,	PUNCT
esrj-99036	263	39	r.	r.	PROPN
esrj-99036	263	40	s.	s.	PROPN
esrj-99036	263	41	,	,	PUNCT
esrj-99036	263	42	yosef	yosef	PROPN
esrj-99036	263	43	.	.	PUNCT
esrj-99036	264	1	y.	y.	PROPN
esrj-99036	264	2	,	,	PUNCT
esrj-99036	264	3	&	&	CCONJ
esrj-99036	264	4	zittis	zittis	PROPN
esrj-99036	264	5	,	,	PUNCT
esrj-99036	264	6	g.	g.	PROPN
esrj-99036	264	7	(	(	PUNCT
esrj-99036	264	8	2022	2022	NUM
esrj-99036	264	9	)	)	PUNCT
esrj-99036	264	10	.	.	PUNCT
esrj-99036	265	1	extreme	extreme	ADJ
esrj-99036	265	2	weather	weather	NOUN
esrj-99036	265	3	and	and	CCONJ
esrj-99036	265	4	societal	societal	ADJ
esrj-99036	265	5	impacts	impact	NOUN
esrj-99036	265	6	in	in	ADP
esrj-99036	265	7	the	the	DET
esrj-99036	265	8	eastern	eastern	PROPN
esrj-99036	265	9	mediterranean	mediterranean	PROPN
esrj-99036	265	10	.	.	PUNCT
esrj-99036	266	1	earth	earth	NOUN
esrj-99036	266	2	system	system	NOUN
esrj-99036	266	3	dynamics	dynamic	NOUN
esrj-99036	266	4	,	,	PUNCT
esrj-99036	266	5	13	13	NUM
esrj-99036	266	6	,	,	PUNCT
esrj-99036	266	7	749–777	749–777	NUM
esrj-99036	266	8	.	.	PUNCT
esrj-99036	267	1	https://doi	https://doi	PROPN
esrj-99036	267	2	.	.	PUNCT
esrj-99036	268	1	org/10.5194	org/10.5194	PROPN
esrj-99036	268	2	/	/	SYM
esrj-99036	268	3	esd-13	esd-13	NOUN
esrj-99036	268	4	-	-	PUNCT
esrj-99036	268	5	749	749	NUM
esrj-99036	268	6	-	-	PUNCT
esrj-99036	268	7	2022	2022	NUM
esrj-99036	268	8	horton	horton	PROPN
esrj-99036	268	9	,	,	PUNCT
esrj-99036	268	10	r.	r.	PROPN
esrj-99036	268	11	m.	m.	PROPN
esrj-99036	268	12	,	,	PUNCT
esrj-99036	268	13	mankin	mankin	PROPN
esrj-99036	268	14	,	,	PUNCT
esrj-99036	268	15	j.	j.	PROPN
esrj-99036	268	16	s.	s.	PROPN
esrj-99036	268	17	,	,	PUNCT
esrj-99036	268	18	lesk	lesk	PROPN
esrj-99036	268	19	,	,	PUNCT
esrj-99036	268	20	c.	c.	NOUN
esrj-99036	268	21	,	,	PUNCT
esrj-99036	268	22	coffel	coffel	NOUN
esrj-99036	268	23	,	,	PUNCT
esrj-99036	268	24	e.	e.	PROPN
esrj-99036	268	25	,	,	PUNCT
esrj-99036	268	26	&	&	CCONJ
esrj-99036	268	27	raymond	raymond	PROPN
esrj-99036	268	28	,	,	PUNCT
esrj-99036	268	29	c.	c.	PROPN
esrj-99036	268	30	(	(	PUNCT
esrj-99036	268	31	2016	2016	NUM
esrj-99036	268	32	)	)	PUNCT
esrj-99036	268	33	.	.	PUNCT
esrj-99036	269	1	a	a	DET
esrj-99036	269	2	review	review	NOUN
esrj-99036	269	3	of	of	ADP
esrj-99036	269	4	recent	recent	ADJ
esrj-99036	269	5	advances	advance	NOUN
esrj-99036	269	6	in	in	ADP
esrj-99036	269	7	research	research	NOUN
esrj-99036	269	8	on	on	ADP
esrj-99036	269	9	extreme	extreme	ADJ
esrj-99036	269	10	heat	heat	NOUN
esrj-99036	269	11	events	event	NOUN
esrj-99036	269	12	.	.	PUNCT
esrj-99036	270	1	current	current	ADJ
esrj-99036	270	2	climate	climate	NOUN
esrj-99036	270	3	change	change	NOUN
esrj-99036	270	4	reports	report	NOUN
esrj-99036	270	5	,	,	PUNCT
esrj-99036	270	6	2	2	NUM
esrj-99036	270	7	,	,	PUNCT
esrj-99036	270	8	242–259	242–259	NUM
esrj-99036	270	9	.	.	PUNCT
esrj-99036	271	1	https://doi.org/10.1029/2018jc014225	https://doi.org/10.1029/2018jc014225	PROPN
esrj-99036	271	2	instituto	instituto	PROPN
esrj-99036	271	3	nacional	nacional	PROPN
esrj-99036	271	4	de	de	PROPN
esrj-99036	271	5	estadística	estadística	PROPN
esrj-99036	271	6	y	y	PROPN
esrj-99036	271	7	geografía	geografía	PROPN
esrj-99036	271	8	(	(	PUNCT
esrj-99036	271	9	inegi	inegi	PROPN
esrj-99036	271	10	)	)	PUNCT
esrj-99036	271	11	.	.	PUNCT
esrj-99036	272	1	(	(	PUNCT
esrj-99036	272	2	2016	2016	NUM
esrj-99036	272	3	)	)	PUNCT
esrj-99036	272	4	.	.	PUNCT
esrj-99036	273	1	anuario	anuario	PROPN
esrj-99036	273	2	estadístico	estadístico	PROPN
esrj-99036	273	3	y	y	PROPN
esrj-99036	273	4	geográfico	geográfico	PROPN
esrj-99036	273	5	de	de	PROPN
esrj-99036	273	6	sinaloa	sinaloa	PROPN
esrj-99036	273	7	.	.	PUNCT
esrj-99036	274	1	http://estadisticas.sinaloa.gob.mx/	http://estadisticas.sinaloa.gob.mx/	PROPN
esrj-99036	274	2	documentos	documentos	PROPN
esrj-99036	274	3	/	/	SYM
esrj-99036	274	4	anuarioestad%c3%adsticosinaloa2016.pdf	anuarioestad%c3%adsticosinaloa2016.pdf	NUM
esrj-99036	274	5	jaiswal	jaiswal	PROPN
esrj-99036	274	6	,	,	PUNCT
esrj-99036	274	7	r.	r.	PROPN
esrj-99036	274	8	k.	k.	PROPN
esrj-99036	274	9	,	,	PUNCT
esrj-99036	274	10	lohani	lohani	PROPN
esrj-99036	274	11	,	,	PUNCT
esrj-99036	274	12	a.	a.	PROPN
esrj-99036	274	13	k.	k.	PROPN
esrj-99036	274	14	,	,	PUNCT
esrj-99036	274	15	&	&	CCONJ
esrj-99036	274	16	galkate	galkate	PROPN
esrj-99036	274	17	,	,	PUNCT
esrj-99036	274	18	r.	r.	PROPN
esrj-99036	274	19	v.	v.	PROPN
esrj-99036	274	20	(	(	PUNCT
esrj-99036	274	21	2023	2023	NUM
esrj-99036	274	22	)	)	PUNCT
esrj-99036	274	23	.	.	PUNCT
esrj-99036	275	1	rainfall	rainfall	NOUN
esrj-99036	275	2	and	and	CCONJ
esrj-99036	275	3	agro	agro	NOUN
esrj-99036	275	4	related	relate	VERB
esrj-99036	275	5	climate	climate	NOUN
esrj-99036	275	6	extremes	extreme	NOUN
esrj-99036	275	7	for	for	ADP
esrj-99036	275	8	water	water	NOUN
esrj-99036	275	9	requirement	requirement	NOUN
esrj-99036	275	10	in	in	ADP
esrj-99036	275	11	paddy	paddy	NOUN
esrj-99036	275	12	grown	grow	VERB
esrj-99036	275	13	mahanadi	mahanadi	PROPN
esrj-99036	275	14	basin	basin	NOUN
esrj-99036	275	15	of	of	ADP
esrj-99036	275	16	india	india	PROPN
esrj-99036	275	17	.	.	PUNCT
esrj-99036	276	1	agricultural	agricultural	ADJ
esrj-99036	276	2	research	research	NOUN
esrj-99036	276	3	,	,	PUNCT
esrj-99036	276	4	12(1	12(1	NUM
esrj-99036	276	5	)	)	PUNCT
esrj-99036	276	6	,	,	PUNCT
esrj-99036	276	7	20–31	20–31	NUM
esrj-99036	276	8	.	.	PUNCT
esrj-99036	277	1	https://doi	https://doi	PROPN
esrj-99036	277	2	.	.	PUNCT
esrj-99036	277	3	org/10.1007	org/10.1007	PROPN
esrj-99036	277	4	/	/	SYM
esrj-99036	277	5	s40003	s40003	PROPN
esrj-99036	277	6	-	-	PUNCT
esrj-99036	277	7	022	022	NUM
esrj-99036	277	8	-	-	PUNCT
esrj-99036	277	9	00629	00629	NUM
esrj-99036	277	10	-	-	SYM
esrj-99036	277	11	4	4	NUM
esrj-99036	277	12	kendall	kendall	NOUN
esrj-99036	277	13	,	,	PUNCT
esrj-99036	277	14	m.	m.	NOUN
esrj-99036	277	15	g.	g.	PROPN
esrj-99036	277	16	(	(	PUNCT
esrj-99036	277	17	1975	1975	NUM
esrj-99036	277	18	)	)	PUNCT
esrj-99036	277	19	.	.	PUNCT
esrj-99036	277	20	rank	rank	NOUN
esrj-99036	277	21	correlation	correlation	NOUN
esrj-99036	277	22	measures	measure	NOUN
esrj-99036	277	23	.	.	PUNCT
esrj-99036	278	1	london	london	PROPN
esrj-99036	278	2	:	:	PUNCT
esrj-99036	278	3	charles	charles	PROPN
esrj-99036	278	4	griffin	griffin	PROPN
esrj-99036	278	5	.	.	PUNCT
esrj-99036	279	1	https://www.worldcat.org/title/rank-correlation-methods/	https://www.worldcat.org/title/rank-correlation-methods/	PROPN
esrj-99036	279	2	oclc/3827024	oclc/3827024	PROPN
esrj-99036	279	3	kienzle	kienzle	PROPN
esrj-99036	279	4	,	,	PUNCT
esrj-99036	279	5	w.	w.	PROPN
esrj-99036	279	6	s.	s.	PROPN
esrj-99036	279	7	(	(	PUNCT
esrj-99036	279	8	2018	2018	NUM
esrj-99036	279	9	)	)	PUNCT
esrj-99036	279	10	.	.	PUNCT
esrj-99036	280	1	has	have	AUX
esrj-99036	280	2	it	it	PRON
esrj-99036	280	3	become	become	VERB
esrj-99036	280	4	warmer	warm	ADJ
esrj-99036	280	5	in	in	ADP
esrj-99036	280	6	alberta	alberta	PROPN
esrj-99036	280	7	?	?	PUNCT
esrj-99036	281	1	mapping	map	VERB
esrj-99036	281	2	temperature	temperature	NOUN
esrj-99036	281	3	changes	change	NOUN
esrj-99036	281	4	for	for	ADP
esrj-99036	281	5	the	the	DET
esrj-99036	281	6	period	period	NOUN
esrj-99036	281	7	1950––2010	1950––2010	PROPN
esrj-99036	281	8	across	across	ADP
esrj-99036	281	9	alberta	alberta	PROPN
esrj-99036	281	10	,	,	PUNCT
esrj-99036	281	11	canada	canada	PROPN
esrj-99036	281	12	.	.	PUNCT
esrj-99036	282	1	the	the	DET
esrj-99036	282	2	canadian	canadian	ADJ
esrj-99036	282	3	geographer	geographer	NOUN
esrj-99036	282	4	/	/	SYM
esrj-99036	282	5	le	le	PROPN
esrj-99036	282	6	geographe	geographe	PROPN
esrj-99036	282	7	canadien	canadien	PROPN
esrj-99036	282	8	,	,	PUNCT
esrj-99036	282	9	62(2	62(2	NUM
esrj-99036	282	10	)	)	PUNCT
esrj-99036	282	11	,	,	PUNCT
esrj-99036	282	12	144–162	144–162	NUM
esrj-99036	282	13	.	.	PUNCT
esrj-99036	283	1	https://	https://	PROPN
esrj-99036	283	2	doi.org/10.1111/cag.12432	doi.org/10.1111/cag.12432	PROPN
esrj-99036	283	3	kumar	kumar	PROPN
esrj-99036	283	4	,	,	PUNCT
esrj-99036	283	5	u.	u.	PROPN
esrj-99036	283	6	,	,	PUNCT
esrj-99036	283	7	kumar	kumar	PROPN
esrj-99036	283	8	,	,	PUNCT
esrj-99036	283	9	s.	s.	PROPN
esrj-99036	283	10	d.	d.	PROPN
esrj-99036	283	11	,	,	PUNCT
esrj-99036	283	12	chandra	chandra	PROPN
esrj-99036	283	13	,	,	PUNCT
esrj-99036	283	14	p.	p.	PROPN
esrj-99036	283	15	s.	s.	PROPN
esrj-99036	283	16	,	,	PUNCT
esrj-99036	283	17	kumar	kumar	PROPN
esrj-99036	283	18	,	,	PUNCT
esrj-99036	283	19	b.	b.	PROPN
esrj-99036	283	20	j.	j.	PROPN
esrj-99036	283	21	,	,	PUNCT
esrj-99036	283	22	&	&	CCONJ
esrj-99036	283	23	kant	kant	PROPN
esrj-99036	283	24	,	,	PUNCT
esrj-99036	283	25	l.	l.	PROPN
esrj-99036	283	26	(	(	PUNCT
esrj-99036	283	27	2023	2023	NUM
esrj-99036	283	28	)	)	PUNCT
esrj-99036	283	29	.	.	PUNCT
esrj-99036	284	1	spatio	spatio	PROPN
esrj-99036	284	2	-	-	PUNCT
esrj-99036	284	3	temporal	temporal	ADJ
esrj-99036	284	4	trend	trend	NOUN
esrj-99036	284	5	and	and	CCONJ
esrj-99036	284	6	change	change	NOUN
esrj-99036	284	7	detection	detection	NOUN
esrj-99036	284	8	of	of	ADP
esrj-99036	284	9	rainfall	rainfall	NOUN
esrj-99036	284	10	for	for	ADP
esrj-99036	284	11	kosi	kosi	PROPN
esrj-99036	284	12	river	river	PROPN
esrj-99036	284	13	basin	basin	NOUN
esrj-99036	284	14	,	,	PUNCT
esrj-99036	284	15	uttarakhand	uttarakhand	PROPN
esrj-99036	284	16	using	use	VERB
esrj-99036	284	17	long	long	ADJ
esrj-99036	284	18	-	-	PUNCT
esrj-99036	284	19	term	term	NOUN
esrj-99036	284	20	(	(	PUNCT
esrj-99036	284	21	115	115	NUM
esrj-99036	284	22	years	year	NOUN
esrj-99036	284	23	)	)	PUNCT
esrj-99036	284	24	gridded	gridde	VERB
esrj-99036	284	25	data	datum	NOUN
esrj-99036	284	26	.	.	PUNCT
esrj-99036	285	1	arabian	arabian	ADJ
esrj-99036	285	2	journal	journal	PROPN
esrj-99036	285	3	of	of	ADP
esrj-99036	285	4	geosciences	geoscience	NOUN
esrj-99036	285	5	,	,	PUNCT
esrj-99036	285	6	16	16	NUM
esrj-99036	285	7	,	,	PUNCT
esrj-99036	285	8	173	173	NUM
esrj-99036	285	9	.	.	PUNCT
esrj-99036	286	1	https://doi.org/10.1007/s12517-02311244-0	https://doi.org/10.1007/s12517-02311244-0	PROPN
esrj-99036	286	2	latif	latif	PROPN
esrj-99036	286	3	,	,	PUNCT
esrj-99036	286	4	s.	s.	PROPN
esrj-99036	286	5	,	,	PUNCT
esrj-99036	286	6	&	&	CCONJ
esrj-99036	286	7	mustafa	mustafa	PROPN
esrj-99036	286	8	,	,	PUNCT
esrj-99036	286	9	f.	f.	PROPN
esrj-99036	286	10	(	(	PUNCT
esrj-99036	286	11	2020	2020	NUM
esrj-99036	286	12	)	)	PUNCT
esrj-99036	286	13	.	.	PUNCT
esrj-99036	287	1	copula	copula	NOUN
esrj-99036	287	2	-	-	PUNCT
esrj-99036	287	3	based	base	VERB
esrj-99036	287	4	multivariate	multivariate	NOUN
esrj-99036	287	5	flood	flood	NOUN
esrj-99036	287	6	probability	probability	NOUN
esrj-99036	287	7	construction	construction	NOUN
esrj-99036	287	8	:	:	PUNCT
esrj-99036	287	9	a	a	DET
esrj-99036	287	10	review	review	NOUN
esrj-99036	287	11	.	.	PUNCT
esrj-99036	287	12	 	 	SPACE
esrj-99036	288	1	arabian	arabian	ADJ
esrj-99036	288	2	journal	journal	NOUN
esrj-99036	288	3	of	of	ADP
esrj-99036	288	4	geosciences	geoscience	NOUN
esrj-99036	288	5	,	,	PUNCT
esrj-99036	288	6	 	 	SPACE
esrj-99036	288	7	13	13	NUM
esrj-99036	288	8	,	,	PUNCT
esrj-99036	288	9	 	 	SPACE
esrj-99036	288	10	132	132	NUM
esrj-99036	288	11	.	.	PUNCT
esrj-99036	289	1	https://	https://	PROPN
esrj-99036	289	2	doi.org/10.1007/s12517-020-5077-6	doi.org/10.1007/s12517-020-5077-6	PROPN
esrj-99036	289	3	li	li	PROPN
esrj-99036	289	4	,	,	PUNCT
esrj-99036	289	5	x.	x.	PROPN
esrj-99036	289	6	,	,	PUNCT
esrj-99036	289	7	you	you	PRON
esrj-99036	289	8	,	,	PUNCT
esrj-99036	289	9	q.	q.	PROPN
esrj-99036	289	10	,	,	PUNCT
esrj-99036	289	11	ren	ren	PROPN
esrj-99036	289	12	,	,	PUNCT
esrj-99036	289	13	g.	g.	PROPN
esrj-99036	289	14	,	,	PUNCT
esrj-99036	289	15	wang	wang	PROPN
esrj-99036	289	16	,	,	PUNCT
esrj-99036	289	17	s.	s.	PROPN
esrj-99036	289	18	,	,	PUNCT
esrj-99036	289	19	zhang	zhang	PROPN
esrj-99036	289	20	,	,	PUNCT
esrj-99036	289	21	y.	y.	PROPN
esrj-99036	289	22	,	,	PUNCT
esrj-99036	289	23	yang	yang	PROPN
esrj-99036	289	24	,	,	PUNCT
esrj-99036	289	25	j.	j.	PROPN
esrj-99036	289	26	,	,	PUNCT
esrj-99036	289	27	&	&	CCONJ
esrj-99036	289	28	zheng	zheng	PROPN
esrj-99036	289	29	,	,	PUNCT
esrj-99036	289	30	g.	g.	PROPN
esrj-99036	289	31	(	(	PUNCT
esrj-99036	289	32	2018	2018	NUM
esrj-99036	289	33	)	)	PUNCT
esrj-99036	289	34	.	.	PUNCT
esrj-99036	290	1	concurrent	concurrent	ADJ
esrj-99036	290	2	droughts	drought	NOUN
esrj-99036	290	3	and	and	CCONJ
esrj-99036	290	4	hot	hot	ADJ
esrj-99036	290	5	extremes	extreme	NOUN
esrj-99036	290	6	in	in	ADP
esrj-99036	290	7	northwest	northwest	PROPN
esrj-99036	290	8	china	china	PROPN
esrj-99036	290	9	from	from	ADP
esrj-99036	290	10	1961	1961	NUM
esrj-99036	290	11	to	to	ADP
esrj-99036	290	12	2017	2017	NUM
esrj-99036	290	13	.	.	PUNCT
esrj-99036	291	1	international	international	ADJ
esrj-99036	291	2	journal	journal	PROPN
esrj-99036	291	3	of	of	ADP
esrj-99036	291	4	climatology	climatology	NOUN
esrj-99036	291	5	,	,	PUNCT
esrj-99036	291	6	39(4	39(4	NOUN
esrj-99036	291	7	)	)	PUNCT
esrj-99036	291	8	,	,	PUNCT
esrj-99036	291	9	1–11	1–11	PROPN
esrj-99036	291	10	.	.	PUNCT
esrj-99036	292	1	https://doi	https://doi	PROPN
esrj-99036	292	2	.	.	PUNCT
esrj-99036	292	3	org/10.1002	org/10.1002	PROPN
esrj-99036	292	4	/	/	SYM
esrj-99036	292	5	joc.5944	joc.5944	PROPN
esrj-99036	292	6	linsley	linsley	PROPN
esrj-99036	292	7	,	,	PUNCT
esrj-99036	292	8	r.	r.	PROPN
esrj-99036	292	9	,	,	PUNCT
esrj-99036	292	10	kohler	kohler	NOUN
esrj-99036	292	11	,	,	PUNCT
esrj-99036	292	12	m.	m.	NOUN
esrj-99036	292	13	,	,	PUNCT
esrj-99036	292	14	&	&	CCONJ
esrj-99036	292	15	paulus	paulus	PROPN
esrj-99036	292	16	,	,	PUNCT
esrj-99036	292	17	j.	j.	PROPN
esrj-99036	292	18	(	(	PUNCT
esrj-99036	292	19	1977	1977	NUM
esrj-99036	292	20	)	)	PUNCT
esrj-99036	292	21	.	.	PUNCT
esrj-99036	293	1	hidrología	hidrología	PROPN
esrj-99036	293	2	para	para	PROPN
esrj-99036	293	3	ingenieros	ingenieros	PROPN
esrj-99036	293	4	.	.	PROPN
esrj-99036	294	1	2	2	NUM
esrj-99036	294	2	ed	ed	NOUN
esrj-99036	294	3	.	.	PUNCT
esrj-99036	295	1	méxico	méxico	PROPN
esrj-99036	295	2	.	.	PUNCT
esrj-99036	296	1	editorial	editorial	PROPN
esrj-99036	296	2	mcgraw	mcgraw	PROPN
esrj-99036	296	3	-	-	PUNCT
esrj-99036	296	4	hill	hill	NOUN
esrj-99036	296	5	latinoamericana	latinoamericana	PROPN
esrj-99036	296	6	.	.	PUNCT
esrj-99036	297	1	little	little	ADJ
esrj-99036	297	2	,	,	PUNCT
esrj-99036	297	3	r.	r.	PROPN
esrj-99036	297	4	j.	j.	PROPN
esrj-99036	297	5	a.	a.	PROPN
esrj-99036	297	6	,	,	PUNCT
esrj-99036	297	7	&	&	CCONJ
esrj-99036	297	8	rubin	rubin	PROPN
esrj-99036	297	9	,	,	PUNCT
esrj-99036	297	10	d.	d.	PROPN
esrj-99036	297	11	b.	b.	PROPN
esrj-99036	297	12	(	(	PUNCT
esrj-99036	297	13	1987	1987	NUM
esrj-99036	297	14	)	)	PUNCT
esrj-99036	297	15	.	.	PUNCT
esrj-99036	298	1	statistical	statistical	ADJ
esrj-99036	298	2	analysis	analysis	NOUN
esrj-99036	298	3	with	with	ADP
esrj-99036	298	4	missing	miss	VERB
esrj-99036	298	5	data	datum	NOUN
esrj-99036	298	6	.	.	PUNCT
esrj-99036	299	1	wiley	wiley	PROPN
esrj-99036	299	2	,	,	PUNCT
esrj-99036	299	3	new	new	PROPN
esrj-99036	299	4	york	york	PROPN
esrj-99036	299	5	1987	1987	NUM
esrj-99036	299	6	,	,	PUNCT
esrj-99036	299	7	14	14	NUM
esrj-99036	299	8	,	,	PUNCT
esrj-99036	299	9	278	278	NUM
esrj-99036	299	10	.	.	PUNCT
esrj-99036	300	1	https://www.jstor.org/stable/1165119	https://www.jstor.org/stable/1165119	PROPN
esrj-99036	300	2	llanes	llanes	PROPN
esrj-99036	300	3	,	,	PUNCT
esrj-99036	300	4	c.	c.	PROPN
esrj-99036	300	5	o.	o.	PROPN
esrj-99036	300	6	(	(	PUNCT
esrj-99036	300	7	2023	2023	NUM
esrj-99036	300	8	)	)	PUNCT
esrj-99036	300	9	.	.	PUNCT
esrj-99036	301	1	predictive	predictive	ADJ
esrj-99036	301	2	association	association	PROPN
esrj-99036	301	3	between	between	ADP
esrj-99036	301	4	meteorological	meteorological	ADJ
esrj-99036	301	5	drought	drought	NOUN
esrj-99036	301	6	and	and	CCONJ
esrj-99036	301	7	climate	climate	NOUN
esrj-99036	301	8	indices	index	NOUN
esrj-99036	301	9	in	in	ADP
esrj-99036	301	10	the	the	DET
esrj-99036	301	11	state	state	NOUN
esrj-99036	301	12	of	of	ADP
esrj-99036	301	13	sinaloa	sinaloa	PROPN
esrj-99036	301	14	,	,	PUNCT
esrj-99036	301	15	northwestern	northwestern	ADJ
esrj-99036	301	16	mexico	mexico	PROPN
esrj-99036	301	17	.	.	PUNCT
esrj-99036	302	1	arabian	arabian	ADJ
esrj-99036	302	2	journal	journal	PROPN
esrj-99036	302	3	of	of	ADP
esrj-99036	302	4	geosciences	geoscience	NOUN
esrj-99036	302	5	,	,	PUNCT
esrj-99036	302	6	16	16	NUM
esrj-99036	302	7	,	,	PUNCT
esrj-99036	302	8	79	79	NUM
esrj-99036	302	9	.	.	PUNCT
esrj-99036	303	1	https://doi.org/10.1007/s12517-02211146-7	https://doi.org/10.1007/s12517-02211146-7	PROPN
esrj-99036	303	2	llanes	llanes	PROPN
esrj-99036	303	3	,	,	PUNCT
esrj-99036	303	4	c.	c.	PROPN
esrj-99036	303	5	o.	o.	PROPN
esrj-99036	303	6	,	,	PUNCT
esrj-99036	303	7	gutiérrez	gutiérrez	PROPN
esrj-99036	303	8	,	,	PUNCT
esrj-99036	303	9	r.	r.	PROPN
esrj-99036	303	10	o.	o.	PROPN
esrj-99036	303	11	g.	g.	PROPN
esrj-99036	303	12	,	,	PUNCT
esrj-99036	303	13	montiel	montiel	PROPN
esrj-99036	303	14	,	,	PUNCT
esrj-99036	303	15	m.	m.	NOUN
esrj-99036	303	16	j.	j.	PROPN
esrj-99036	303	17	,	,	PUNCT
esrj-99036	303	18	&	&	CCONJ
esrj-99036	303	19	troyo	troyo	PROPN
esrj-99036	303	20	,	,	PUNCT
esrj-99036	303	21	d.	d.	PROPN
esrj-99036	303	22	e.	e.	PROPN
esrj-99036	303	23	(	(	PUNCT
esrj-99036	303	24	2022a	2022a	NUM
esrj-99036	303	25	)	)	PUNCT
esrj-99036	303	26	.	.	PUNCT
esrj-99036	304	1	hot	hot	ADJ
esrj-99036	304	2	extremes	extreme	NOUN
esrj-99036	304	3	and	and	CCONJ
esrj-99036	304	4	climatological	climatological	ADJ
esrj-99036	304	5	drought	drought	NOUN
esrj-99036	304	6	indicators	indicator	NOUN
esrj-99036	304	7	in	in	ADP
esrj-99036	304	8	the	the	DET
esrj-99036	304	9	transitional	transitional	ADJ
esrj-99036	304	10	semiarid	semiarid	NOUN
esrj-99036	304	11	–	–	PUNCT
esrj-99036	304	12	subtropical	subtropical	ADJ
esrj-99036	304	13	region	region	NOUN
esrj-99036	304	14	of	of	ADP
esrj-99036	304	15	sinaloa	sinaloa	PROPN
esrj-99036	304	16	,	,	PUNCT
esrj-99036	304	17	northwest	northwest	PROPN
esrj-99036	304	18	mexico	mexico	PROPN
esrj-99036	304	19	.	.	PUNCT
esrj-99036	305	1	polish	polish	PROPN
esrj-99036	305	2	journal	journal	PROPN
esrj-99036	305	3	of	of	ADP
esrj-99036	305	4	environmental	environmental	ADJ
esrj-99036	305	5	studies	study	NOUN
esrj-99036	305	6	,	,	PUNCT
esrj-99036	305	7	31(5	31(5	NUM
esrj-99036	305	8	)	)	PUNCT
esrj-99036	305	9	,	,	PUNCT
esrj-99036	305	10	4567–4577	4567–4577	NUM
esrj-99036	305	11	.	.	PUNCT
esrj-99036	306	1	https://doi	https://doi	PROPN
esrj-99036	306	2	.	.	PUNCT
esrj-99036	306	3	org/10.15244	org/10.15244	PROPN
esrj-99036	306	4	/	/	SYM
esrj-99036	306	5	pjoes/149882	pjoes/149882	PROPN
esrj-99036	306	6	llanes	llanes	PROPN
esrj-99036	306	7	,	,	PUNCT
esrj-99036	306	8	c.	c.	PROPN
esrj-99036	306	9	o.	o.	PROPN
esrj-99036	306	10	,	,	PUNCT
esrj-99036	306	11	norzagaray	norzagaray	NOUN
esrj-99036	306	12	,	,	PUNCT
esrj-99036	306	13	c.	c.	PROPN
esrj-99036	306	14	m.	m.	PROPN
esrj-99036	306	15	,	,	PUNCT
esrj-99036	306	16	gaxiola	gaxiola	PROPN
esrj-99036	306	17	,	,	PUNCT
esrj-99036	306	18	a.	a.	NOUN
esrj-99036	306	19	,	,	PUNCT
esrj-99036	306	20	pérez	pérez	NOUN
esrj-99036	306	21	,	,	PUNCT
esrj-99036	306	22	g.	g.	PROPN
esrj-99036	306	23	e.	e.	PROPN
esrj-99036	306	24	,	,	PUNCT
esrj-99036	306	25	montiel	montiel	PROPN
esrj-99036	306	26	,	,	PUNCT
esrj-99036	306	27	m.	m.	NOUN
esrj-99036	306	28	j.	j.	PROPN
esrj-99036	306	29	,	,	PUNCT
esrj-99036	306	30	&	&	CCONJ
esrj-99036	306	31	troyo	troyo	PROPN
esrj-99036	306	32	,	,	PUNCT
esrj-99036	306	33	d.	d.	PROPN
esrj-99036	306	34	e.	e.	PROPN
esrj-99036	306	35	(	(	PUNCT
esrj-99036	306	36	2022b	2022b	NUM
esrj-99036	306	37	)	)	PUNCT
esrj-99036	306	38	.	.	PUNCT
esrj-99036	307	1	sensitivity	sensitivity	NOUN
esrj-99036	307	2	of	of	ADP
esrj-99036	307	3	four	four	NUM
esrj-99036	307	4	indices	index	NOUN
esrj-99036	307	5	of	of	ADP
esrj-99036	307	6	meteorological	meteorological	ADJ
esrj-99036	307	7	drought	drought	NOUN
esrj-99036	307	8	for	for	ADP
esrj-99036	307	9	rainfed	rainfed	ADJ
esrj-99036	307	10	maize	maize	NOUN
esrj-99036	307	11	yield	yield	NOUN
esrj-99036	307	12	prediction	prediction	NOUN
esrj-99036	307	13	in	in	ADP
esrj-99036	307	14	the	the	DET
esrj-99036	307	15	state	state	NOUN
esrj-99036	307	16	of	of	ADP
esrj-99036	307	17	sinaloa	sinaloa	PROPN
esrj-99036	307	18	,	,	PUNCT
esrj-99036	307	19	mexico	mexico	PROPN
esrj-99036	307	20	.	.	PUNCT
esrj-99036	308	1	agriculture	agriculture	NOUN
esrj-99036	308	2	,	,	PUNCT
esrj-99036	308	3	12	12	NUM
esrj-99036	308	4	,	,	PUNCT
esrj-99036	308	5	525	525	NUM
esrj-99036	308	6	.	.	PUNCT
esrj-99036	308	7	https://doi.org/10.3390/agriculture12040525	https://doi.org/10.3390/agriculture12040525	PROPN
esrj-99036	308	8	llanes	llanes	PROPN
esrj-99036	308	9	,	,	PUNCT
esrj-99036	308	10	c.	c.	PROPN
esrj-99036	308	11	o.	o.	PROPN
esrj-99036	308	12	,	,	PUNCT
esrj-99036	308	13	norzagaray	norzagaray	NOUN
esrj-99036	308	14	,	,	PUNCT
esrj-99036	308	15	c.	c.	PROPN
esrj-99036	308	16	m.	m.	PROPN
esrj-99036	308	17	,	,	PUNCT
esrj-99036	308	18	gonzález	gonzález	PROPN
esrj-99036	308	19	,	,	PUNCT
esrj-99036	308	20	g.	g.	PROPN
esrj-99036	308	21	g.	g.	PROPN
esrj-99036	308	22	e.	e.	PROPN
esrj-99036	308	23	,	,	PUNCT
esrj-99036	308	24	lópez	lópez	PROPN
esrj-99036	308	25	,	,	PUNCT
esrj-99036	308	26	r.	r.	PROPN
esrj-99036	308	27	j.	j.	PROPN
esrj-99036	308	28	s.	s.	PROPN
esrj-99036	308	29	(	(	PUNCT
esrj-99036	308	30	2021	2021	NUM
esrj-99036	308	31	)	)	PUNCT
esrj-99036	308	32	.	.	PUNCT
esrj-99036	309	1	análisis	análisis	NOUN
esrj-99036	309	2	de	de	X
esrj-99036	309	3	efectos	efectos	PROPN
esrj-99036	309	4	de	de	PROPN
esrj-99036	309	5	indicadores	indicadores	PROPN
esrj-99036	309	6	de	de	PROPN
esrj-99036	309	7	temperatura	temperatura	PROPN
esrj-99036	309	8	máxima	máxima	PROPN
esrj-99036	309	9	extrema	extrema	PROPN
esrj-99036	309	10	en	en	ADP
esrj-99036	309	11	el	el	PROPN
esrj-99036	309	12	estado	estado	PROPN
esrj-99036	309	13	de	de	PROPN
esrj-99036	309	14	sinaloa	sinaloa	PROPN
esrj-99036	309	15	.	.	PUNCT
esrj-99036	310	1	congreso	congreso	PROPN
esrj-99036	310	2	internacional	internacional	ADJ
esrj-99036	310	3	academia	academia	PROPN
esrj-99036	310	4	journals	journal	NOUN
esrj-99036	310	5	,	,	PUNCT
esrj-99036	310	6	hidalgo	hidalgo	PROPN
esrj-99036	310	7	,	,	PUNCT
esrj-99036	310	8	956–960	956–960	NUM
esrj-99036	310	9	.	.	PUNCT
esrj-99036	311	1	llanes	llanes	PROPN
esrj-99036	311	2	,	,	PUNCT
esrj-99036	311	3	c.	c.	PROPN
esrj-99036	311	4	o.	o.	PROPN
esrj-99036	311	5	,	,	PUNCT
esrj-99036	311	6	norzagaray	norzagaray	NOUN
esrj-99036	311	7	,	,	PUNCT
esrj-99036	311	8	c.	c.	PROPN
esrj-99036	311	9	m.	m.	PROPN
esrj-99036	311	10	,	,	PUNCT
esrj-99036	311	11	muñoz	muñoz	PROPN
esrj-99036	311	12	,	,	PUNCT
esrj-99036	311	13	s.	s.	PROPN
esrj-99036	311	14	n.	n.	PROPN
esrj-99036	311	15	p.	p.	PROPN
esrj-99036	311	16	,	,	PUNCT
esrj-99036	311	17	ruiz	ruiz	NOUN
esrj-99036	311	18	,	,	PUNCT
esrj-99036	311	19	g.	g.	PROPN
esrj-99036	311	20	r.	r.	PROPN
esrj-99036	311	21	,	,	PUNCT
esrj-99036	311	22	troyo	troyo	PROPN
esrj-99036	311	23	,	,	PUNCT
esrj-99036	311	24	d.	d.	PROPN
esrj-99036	311	25	e.	e.	PROPN
esrj-99036	311	26	,	,	PUNCT
esrj-99036	311	27	&	&	CCONJ
esrj-99036	311	28	álvarez	álvarez	PROPN
esrj-99036	311	29	,	,	PUNCT
esrj-99036	311	30	r.	r.	PROPN
esrj-99036	311	31	p.	p.	PROPN
esrj-99036	311	32	(	(	PUNCT
esrj-99036	311	33	2015	2015	NUM
esrj-99036	311	34	)	)	PUNCT
esrj-99036	311	35	.	.	PUNCT
esrj-99036	312	1	hydroclimatic	hydroclimatic	ADJ
esrj-99036	312	2	trends	trend	NOUN
esrj-99036	312	3	in	in	ADP
esrj-99036	312	4	areas	area	NOUN
esrj-99036	312	5	with	with	ADP
esrj-99036	312	6	high	high	ADJ
esrj-99036	312	7	agricultural	agricultural	ADJ
esrj-99036	312	8	productivity	productivity	NOUN
esrj-99036	312	9	in	in	ADP
esrj-99036	312	10	northern	northern	PROPN
esrj-99036	312	11	mexico	mexico	PROPN
esrj-99036	312	12	.	.	PUNCT
esrj-99036	313	1	polish	polish	PROPN
esrj-99036	313	2	journal	journal	PROPN
esrj-99036	313	3	of	of	ADP
esrj-99036	313	4	environmental	environmental	ADJ
esrj-99036	313	5	studies	study	NOUN
esrj-99036	313	6	,	,	PUNCT
esrj-99036	313	7	24(3	24(3	NUM
esrj-99036	313	8	)	)	PUNCT
esrj-99036	313	9	,	,	PUNCT
esrj-99036	313	10	1165	1165	NUM
esrj-99036	313	11	-	-	SYM
esrj-99036	313	12	1180	1180	NUM
esrj-99036	313	13	.	.	PUNCT
esrj-99036	314	1	https://doi.org/10.15244/	https://doi.org/10.15244/	NOUN
esrj-99036	314	2	pjoes/31221	pjoes/31221	NOUN
esrj-99036	314	3	lustenberger	lustenberger	NOUN
esrj-99036	314	4	,	,	PUNCT
esrj-99036	314	5	a.	a.	PROPN
esrj-99036	314	6	,	,	PUNCT
esrj-99036	314	7	knutti	knutti	PROPN
esrj-99036	314	8	,	,	PUNCT
esrj-99036	314	9	r.	r.	PROPN
esrj-99036	314	10	,	,	PUNCT
esrj-99036	314	11	&	&	CCONJ
esrj-99036	314	12	fischer	fischer	PROPN
esrj-99036	314	13	,	,	PUNCT
esrj-99036	314	14	e.	e.	PROPN
esrj-99036	314	15	m.	m.	PROPN
esrj-99036	314	16	(	(	PUNCT
esrj-99036	314	17	2014	2014	NUM
esrj-99036	314	18	)	)	PUNCT
esrj-99036	314	19	.	.	PUNCT
esrj-99036	315	1	sensitivity	sensitivity	NOUN
esrj-99036	315	2	of	of	ADP
esrj-99036	315	3	european	european	ADJ
esrj-99036	315	4	extreme	extreme	ADJ
esrj-99036	315	5	daily	daily	ADJ
esrj-99036	315	6	temperature	temperature	NOUN
esrj-99036	315	7	return	return	NOUN
esrj-99036	315	8	levels	level	NOUN
esrj-99036	315	9	to	to	ADP
esrj-99036	315	10	projected	project	VERB
esrj-99036	315	11	changes	change	NOUN
esrj-99036	315	12	in	in	ADP
esrj-99036	315	13	mean	mean	NOUN
esrj-99036	315	14	and	and	CCONJ
esrj-99036	315	15	variance	variance	NOUN
esrj-99036	315	16	.	.	PUNCT
esrj-99036	316	1	journal	journal	PROPN
esrj-99036	316	2	of	of	ADP
esrj-99036	316	3	geophysical	geophysical	ADJ
esrj-99036	316	4	research	research	NOUN
esrj-99036	316	5	:	:	PUNCT
esrj-99036	316	6	atmospheres	atmosphere	NOUN
esrj-99036	316	7	,	,	PUNCT
esrj-99036	316	8	119(6	119(6	NUM
esrj-99036	316	9	)	)	PUNCT
esrj-99036	316	10	,	,	PUNCT
esrj-99036	316	11	3032	3032	NUM
esrj-99036	316	12	-	-	SYM
esrj-99036	316	13	3044	3044	NUM
esrj-99036	316	14	.	.	PUNCT
esrj-99036	317	1	https://doi.org/10.1002/2012jd019347	https://doi.org/10.1002/2012jd019347	PROPN
esrj-99036	317	2	mann	mann	PROPN
esrj-99036	317	3	,	,	PUNCT
esrj-99036	317	4	h.	h.	PROPN
esrj-99036	317	5	b.	b.	PROPN
esrj-99036	317	6	(	(	PUNCT
esrj-99036	317	7	1945	1945	NUM
esrj-99036	317	8	)	)	PUNCT
esrj-99036	317	9	.	.	PUNCT
esrj-99036	318	1	nonparametric	nonparametric	NOUN
esrj-99036	318	2	tests	test	VERB
esrj-99036	318	3	against	against	ADP
esrj-99036	318	4	trend	trend	NOUN
esrj-99036	318	5	.	.	PUNCT
esrj-99036	319	1	econometrica	econometrica	PROPN
esrj-99036	319	2	,	,	PUNCT
esrj-99036	319	3	13	13	NUM
esrj-99036	319	4	,	,	PUNCT
esrj-99036	319	5	245	245	NUM
esrj-99036	319	6	–	–	PUNCT
esrj-99036	319	7	259	259	NUM
esrj-99036	319	8	.	.	PUNCT
esrj-99036	320	1	https://www.jstor.org/stable/1907187	https://www.jstor.org/stable/1907187	PROPN
esrj-99036	320	2	murage	murage	NOUN
esrj-99036	320	3	,	,	PUNCT
esrj-99036	320	4	p.	p.	NOUN
esrj-99036	320	5	,	,	PUNCT
esrj-99036	320	6	hajat	hajat	PROPN
esrj-99036	320	7	,	,	PUNCT
esrj-99036	320	8	s.	s.	PROPN
esrj-99036	320	9	,	,	PUNCT
esrj-99036	320	10	&	&	CCONJ
esrj-99036	320	11	kovats	kovats	PROPN
esrj-99036	320	12	,	,	PUNCT
esrj-99036	320	13	r.	r.	PROPN
esrj-99036	320	14	s.	s.	PROPN
esrj-99036	320	15	(	(	PUNCT
esrj-99036	320	16	2017	2017	NUM
esrj-99036	320	17	)	)	PUNCT
esrj-99036	320	18	.	.	PUNCT
esrj-99036	321	1	effect	effect	NOUN
esrj-99036	321	2	of	of	ADP
esrj-99036	321	3	night	night	NOUN
esrj-99036	321	4	-	-	PUNCT
esrj-99036	321	5	time	time	NOUN
esrj-99036	321	6	temperatures	temperature	NOUN
esrj-99036	321	7	on	on	ADP
esrj-99036	321	8	cause	cause	NOUN
esrj-99036	321	9	and	and	CCONJ
esrj-99036	321	10	age	age	NOUN
esrj-99036	321	11	-	-	PUNCT
esrj-99036	321	12	specific	specific	ADJ
esrj-99036	321	13	mortality	mortality	NOUN
esrj-99036	321	14	in	in	ADP
esrj-99036	321	15	london	london	PROPN
esrj-99036	321	16	.	.	PUNCT
esrj-99036	322	1	environmental	environmental	ADJ
esrj-99036	322	2	epidemiology	epidemiology	NOUN
esrj-99036	322	3	,	,	PUNCT
esrj-99036	322	4	1(2	1(2	NUM
esrj-99036	322	5	)	)	PUNCT
esrj-99036	322	6	,	,	PUNCT
esrj-99036	322	7	e005	e005	PROPN
esrj-99036	322	8	.	.	PUNCT
esrj-99036	323	1	https://doi.org/10.1097/ee9.0000000000000005	https://doi.org/10.1097/ee9.0000000000000005	PROPN
esrj-99036	323	2	organización	organización	PROPN
esrj-99036	323	3	panamericana	panamericana	PROPN
esrj-99036	323	4	de	de	PROPN
esrj-99036	323	5	la	la	PROPN
esrj-99036	323	6	salud	salud	PROPN
esrj-99036	323	7	(	(	PUNCT
esrj-99036	323	8	ops	op	NOUN
esrj-99036	323	9	)	)	PUNCT
esrj-99036	323	10	.	.	PUNCT
esrj-99036	324	1	(	(	PUNCT
esrj-99036	324	2	2019	2019	NUM
esrj-99036	324	3	)	)	PUNCT
esrj-99036	324	4	.	.	PUNCT
esrj-99036	325	1	ola	ola	PROPN
esrj-99036	325	2	de	de	PROPN
esrj-99036	325	3	calor	calor	PROPN
esrj-99036	325	4	y	y	PROPN
esrj-99036	325	5	medidas	medidas	PROPN
esrj-99036	325	6	a	a	DET
esrj-99036	325	7	tomar	tomar	NOUN
esrj-99036	325	8	.	.	PUNCT
esrj-99036	326	1	revisión	revisión	PROPN
esrj-99036	326	2	preliminar	preliminar	PROPN
esrj-99036	326	3	.	.	PUNCT
esrj-99036	327	1	50p	50p	NOUN
esrj-99036	327	2	.	.	PUNCT
esrj-99036	328	1	https://www3.paho.org/hq/	https://www3.paho.org/hq/	PUNCT
esrj-99036	329	1	index.php?option=com_docman&view=download&alias=48467h	index.php?option=com_docman&view=download&alias=48467h	NOUN
esrj-99036	329	2	e	e	NOUN
esrj-99036	329	3	a	a	PROPN
esrj-99036	329	4	t	t	PROPN
esrj-99036	329	5	w	w	ADP
esrj-99036	329	6	a	a	DET
esrj-99036	329	7	v	v	NOUN
esrj-99036	329	8	e	e	NOUN
esrj-99036	329	9	a	a	DET
esrj-99036	329	10	n	n	NOUN
esrj-99036	329	11	d	d	NOUN
esrj-99036	329	12	m	m	VERB
esrj-99036	329	13	e	e	NOUN
esrj-99036	329	14	a	a	DET
esrj-99036	329	15	s	s	X
esrj-99036	329	16	u	u	NOUN
esrj-99036	329	17	r	r	NOUN
esrj-99036	329	18	e	e	NOUN
esrj-99036	329	19	s	s	PROPN
esrj-99036	329	20	t	t	X
esrj-99036	329	21	o	o	NOUN
esrj-99036	329	22	t	t	PROPN
esrj-99036	329	23	a	a	DET
esrj-99036	329	24	k	k	X
esrj-99036	329	25	e	e	X
esrj-99036	329	26	p	p	NOUN
esrj-99036	329	27	r	r	NOUN
esrj-99036	329	28	e	e	NOUN
esrj-99036	329	29	l	l	NOUN
esrj-99036	330	1	i	i	PRON
esrj-99036	330	2	m	m	VERB
esrj-99036	330	3	i	i	VERB
esrj-99036	330	4	n	n	ADV
esrj-99036	330	5	a	a	DET
esrj-99036	330	6	r	r	NOUN
esrj-99036	330	7	y	y	NOUN
esrj-99036	330	8	r	r	NOUN
esrj-99036	330	9	e	e	NOUN
esrj-99036	330	10	v	v	X
esrj-99036	330	11	i	i	NOUN
esrj-99036	330	12	e	e	PROPN
esrj-99036	330	13	w	w	PROPN
esrj-99036	330	14	spanish&category_slug	spanish&category_slug	PROPN
esrj-99036	330	15	=	=	NOUN
esrj-99036	330	16	detection	detection	NOUN
esrj-99036	330	17	-	-	PUNCT
esrj-99036	330	18	verification	verification	NOUN
esrj-99036	330	19	-	-	PUNCT
esrj-99036	330	20	risk	risk	NOUN
esrj-99036	330	21	-	-	PUNCT
esrj-99036	330	22	assessment1226&itemid=270&lang	assessment1226&itemid=270&lang	NOUN
esrj-99036	330	23	=	=	NOUN
esrj-99036	330	24	es	es	NOUN
esrj-99036	330	25	papacharalampous	papacharalampous	ADJ
esrj-99036	330	26	,	,	PUNCT
esrj-99036	330	27	g.	g.	PROPN
esrj-99036	330	28	,	,	PUNCT
esrj-99036	330	29	tyralis	tyralis	PROPN
esrj-99036	330	30	,	,	PUNCT
esrj-99036	330	31	h.	h.	PROPN
esrj-99036	330	32	,	,	PUNCT
esrj-99036	330	33	&	&	CCONJ
esrj-99036	330	34	koutsoyiannis	koutsoyiannis	PROPN
esrj-99036	330	35	,	,	PUNCT
esrj-99036	330	36	d.	d.	PROPN
esrj-99036	330	37	(	(	PUNCT
esrj-99036	330	38	2018	2018	NUM
esrj-99036	330	39	)	)	PUNCT
esrj-99036	330	40	.	.	PUNCT
esrj-99036	331	1	predictability	predictability	NOUN
esrj-99036	331	2	of	of	ADP
esrj-99036	331	3	monthly	monthly	ADJ
esrj-99036	331	4	temperature	temperature	NOUN
esrj-99036	331	5	and	and	CCONJ
esrj-99036	331	6	precipitation	precipitation	NOUN
esrj-99036	331	7	using	use	VERB
esrj-99036	331	8	automatic	automatic	ADJ
esrj-99036	331	9	time	time	NOUN
esrj-99036	331	10	series	series	PROPN
esrj-99036	331	11	forecasting	forecasting	NOUN
esrj-99036	331	12	methods	method	NOUN
esrj-99036	331	13	.	.	PUNCT
esrj-99036	332	1	acta	acta	PROPN
esrj-99036	332	2	geophysica	geophysica	PROPN
esrj-99036	332	3	,	,	PUNCT
esrj-99036	332	4	66	66	NUM
esrj-99036	332	5	,	,	PUNCT
esrj-99036	332	6	807–831	807–831	NUM
esrj-99036	332	7	.	.	PUNCT
esrj-99036	333	1	https://doi	https://doi	X
esrj-99036	333	2	.	.	PUNCT
esrj-99036	333	3	org/10.1007	org/10.1007	PROPN
esrj-99036	333	4	/	/	SYM
esrj-99036	333	5	s11600	s11600	PROPN
esrj-99036	333	6	-	-	PUNCT
esrj-99036	333	7	018	018	NUM
esrj-99036	333	8	-	-	PUNCT
esrj-99036	333	9	0120	0120	NUM
esrj-99036	333	10	-	-	SYM
esrj-99036	333	11	7	7	NUM
esrj-99036	333	12	pliego	pliego	NOUN
esrj-99036	333	13	,	,	PUNCT
esrj-99036	333	14	j.	j.	PROPN
esrj-99036	333	15	m.	m.	PROPN
esrj-99036	333	16	&	&	CCONJ
esrj-99036	333	17	ruiz	ruiz	PROPN
esrj-99036	333	18	,	,	PUNCT
esrj-99036	333	19	&	&	CCONJ
esrj-99036	333	20	m.	m.	PROPN
esrj-99036	333	21	l.	l.	PROPN
esrj-99036	333	22	(	(	PUNCT
esrj-99036	333	23	2004	2004	NUM
esrj-99036	333	24	)	)	PUNCT
esrj-99036	333	25	.	.	PUNCT
esrj-99036	334	1	estadística	estadística	PROPN
esrj-99036	334	2	i	i	PRON
esrj-99036	334	3	:	:	PUNCT
esrj-99036	334	4	probabilidad	probabilidad	PROPN
esrj-99036	334	5	.	.	PUNCT
esrj-99036	335	1	2ª	2ª	PROPN
esrj-99036	335	2	ed	ed	NOUN
esrj-99036	335	3	.	.	PUNCT
esrj-99036	336	1	madrid	madrid	PROPN
esrj-99036	336	2	:	:	PUNCT
esrj-99036	337	1	thomson	thomson	PROPN
esrj-99036	337	2	.	.	PUNCT
esrj-99036	338	1	puerta	puerta	PROPN
esrj-99036	338	2	,	,	PUNCT
esrj-99036	338	3	g.	g.	PROPN
esrj-99036	338	4	a.	a.	PROPN
esrj-99036	338	5	(	(	PUNCT
esrj-99036	338	6	2002	2002	NUM
esrj-99036	338	7	)	)	PUNCT
esrj-99036	338	8	.	.	PUNCT
esrj-99036	339	1	imputación	imputación	PROPN
esrj-99036	339	2	basada	basada	PROPN
esrj-99036	339	3	en	en	PROPN
esrj-99036	339	4	árboles	árboles	PROPN
esrj-99036	339	5	de	de	PROPN
esrj-99036	339	6	clasificación	clasificación	PROPN
esrj-99036	339	7	.	.	PUNCT
esrj-99036	339	8	eustat	eustat	PROPN
esrj-99036	339	9	.	.	PUNCT
esrj-99036	340	1	https://www.eustat.eus/documentos/datos/ct_04_c.pdf	https://www.eustat.eus/documentos/datos/ct_04_c.pdf	PROPN
esrj-99036	340	2	rincón	rincón	PROPN
esrj-99036	340	3	,	,	PUNCT
esrj-99036	340	4	a.	a.	PROPN
esrj-99036	340	5	j.	j.	PROPN
esrj-99036	340	6	g.	g.	PROPN
esrj-99036	340	7	(	(	PUNCT
esrj-99036	340	8	2012	2012	NUM
esrj-99036	340	9	)	)	PUNCT
esrj-99036	340	10	.	.	PUNCT
esrj-99036	341	1	sinaloa	sinaloa	NOUN
esrj-99036	341	2	:	:	PUNCT
esrj-99036	341	3	100	100	NUM
esrj-99036	341	4	años	años	PROPN
esrj-99036	341	5	de	de	PROPN
esrj-99036	341	6	historia	historia	PROPN
esrj-99036	341	7	educativa	educativa	PROPN
esrj-99036	341	8	19102010	19102010	NUM
esrj-99036	341	9	.	.	PUNCT
esrj-99036	342	1	universidad	universidad	PROPN
esrj-99036	342	2	pedagógica	pedagógica	PROPN
esrj-99036	342	3	nacional	nacional	PROPN
esrj-99036	342	4	.	.	PUNCT
esrj-99036	343	1	https://es.scribd.com/	https://es.scribd.com/	ADJ
esrj-99036	343	2	document/370636982	document/370636982	VERB
esrj-99036	343	3	/	/	SYM
esrj-99036	343	4	libro	libro	NOUN
esrj-99036	343	5	-	-	PUNCT
esrj-99036	343	6	de	de	X
esrj-99036	343	7	-	-	ADJ
esrj-99036	343	8	rincon	rincon	ADJ
esrj-99036	343	9	-	-	PUNCT
esrj-99036	343	10	pdf	pdf	NOUN
esrj-99036	343	11	riojas	riojas	NOUN
esrj-99036	343	12	,	,	PUNCT
esrj-99036	343	13	r.	r.	PROPN
esrj-99036	343	14	h.	h.	PROPN
esrj-99036	343	15	,	,	PUNCT
esrj-99036	343	16	hurtado	hurtado	PROPN
esrj-99036	343	17	,	,	PUNCT
esrj-99036	343	18	d.	d.	PROPN
esrj-99036	343	19	m.	m.	PROPN
esrj-99036	343	20	,	,	PUNCT
esrj-99036	343	21	idrovo	idrovo	PROPN
esrj-99036	343	22	,	,	PUNCT
esrj-99036	343	23	v.	v.	PROPN
esrj-99036	343	24	j.	j.	PROPN
esrj-99036	343	25	,	,	PUNCT
esrj-99036	343	26	&	&	CCONJ
esrj-99036	343	27	vázquez	vázquez	PROPN
esrj-99036	343	28	,	,	PUNCT
esrj-99036	343	29	g.	g.	PROPN
esrj-99036	343	30	h.	h.	PROPN
esrj-99036	343	31	(	(	PUNCT
esrj-99036	343	32	2006	2006	NUM
esrj-99036	343	33	)	)	PUNCT
esrj-99036	343	34	.	.	PUNCT
esrj-99036	344	1	estudio	estudio	PROPN
esrj-99036	344	2	diagnóstico	diagnóstico	PROPN
esrj-99036	344	3	sobre	sobre	PROPN
esrj-99036	344	4	los	los	PROPN
esrj-99036	344	5	efectos	efectos	PROPN
esrj-99036	344	6	del	del	PROPN
esrj-99036	344	7	cambio	cambio	PROPN
esrj-99036	344	8	climático	climático	PROPN
esrj-99036	344	9	en	en	PROPN
esrj-99036	344	10	la	la	PROPN
esrj-99036	344	11	salud	salud	PROPN
esrj-99036	344	12	humana	humana	PROPN
esrj-99036	344	13	de	de	PROPN
esrj-99036	344	14	la	la	PROPN
esrj-99036	344	15	población	población	PROPN
esrj-99036	344	16	en	en	PROPN
esrj-99036	344	17	mexico	mexico	PROPN
esrj-99036	344	18	.	.	PUNCT
esrj-99036	345	1	instituto	instituto	PROPN
esrj-99036	345	2	nacional	nacional	PROPN
esrj-99036	345	3	de	de	PROPN
esrj-99036	345	4	ecología	ecología	PROPN
esrj-99036	345	5	,	,	PUNCT
esrj-99036	345	6	instituto	instituto	PROPN
esrj-99036	345	7	nacional	nacional	PROPN
esrj-99036	345	8	de	de	PROPN
esrj-99036	345	9	salud	salud	PROPN
esrj-99036	345	10	pública	pública	PROPN
esrj-99036	345	11	.	.	PUNCT
esrj-99036	346	1	robeson	robeson	PROPN
esrj-99036	346	2	,	,	PUNCT
esrj-99036	346	3	s.	s.	PROPN
esrj-99036	346	4	m.	m.	PROPN
esrj-99036	346	5	(	(	PUNCT
esrj-99036	346	6	2004	2004	NUM
esrj-99036	346	7	)	)	PUNCT
esrj-99036	346	8	.	.	PUNCT
esrj-99036	347	1	trends	trend	NOUN
esrj-99036	347	2	in	in	ADP
esrj-99036	347	3	time	time	NOUN
esrj-99036	347	4	-	-	PUNCT
esrj-99036	347	5	varying	vary	VERB
esrj-99036	347	6	percentiles	percentile	NOUN
esrj-99036	347	7	of	of	ADP
esrj-99036	347	8	daily	daily	ADJ
esrj-99036	347	9	minimum	minimum	NOUN
esrj-99036	347	10	and	and	CCONJ
esrj-99036	347	11	maximum	maximum	ADJ
esrj-99036	347	12	temperature	temperature	NOUN
esrj-99036	347	13	over	over	ADP
esrj-99036	347	14	north	north	PROPN
esrj-99036	347	15	america	america	PROPN
esrj-99036	347	16	.	.	PUNCT
esrj-99036	348	1	geophysical	geophysical	ADJ
esrj-99036	348	2	research	research	NOUN
esrj-99036	348	3	letters	letter	NOUN
esrj-99036	348	4	,	,	PUNCT
esrj-99036	348	5	31(4	31(4	NUM
esrj-99036	348	6	)	)	PUNCT
esrj-99036	348	7	.	.	PUNCT
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esrj-99036	349	2	rojas	rojas	PROPN
esrj-99036	349	3	,	,	PUNCT
esrj-99036	349	4	e.	e.	PROPN
esrj-99036	349	5	,	,	PUNCT
esrj-99036	349	6	arce	arce	PROPN
esrj-99036	349	7	,	,	PUNCT
esrj-99036	349	8	b.	b.	PROPN
esrj-99036	349	9	,	,	PUNCT
esrj-99036	349	10	pena	pena	PROPN
esrj-99036	349	11	,	,	PUNCT
esrj-99036	349	12	a.	a.	NOUN
esrj-99036	349	13	,	,	PUNCT
esrj-99036	349	14	boshell	boshell	VERB
esrj-99036	349	15	,	,	PUNCT
esrj-99036	349	16	f.	f.	PROPN
esrj-99036	349	17	,	,	PUNCT
esrj-99036	349	18	&	&	CCONJ
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esrj-99036	349	20	,	,	PUNCT
esrj-99036	349	21	m.	m.	NOUN
esrj-99036	349	22	(	(	PUNCT
esrj-99036	349	23	2010	2010	NUM
esrj-99036	349	24	)	)	PUNCT
esrj-99036	349	25	.	.	PUNCT
esrj-99036	350	1	cuantificación	cuantificación	PROPN
esrj-99036	350	2	e	e	PROPN
esrj-99036	350	3	interpolación	interpolación	PROPN
esrj-99036	350	4	de	de	PROPN
esrj-99036	350	5	tendencias	tendencias	PROPN
esrj-99036	350	6	locales	locale	NOUN
esrj-99036	350	7	de	de	X
esrj-99036	350	8	temperatura	temperatura	PROPN
esrj-99036	350	9	y	y	PROPN
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esrj-99036	350	11	en	en	PROPN
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esrj-99036	350	13	alto	alto	PROPN
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esrj-99036	350	20	colombia	colombia	PROPN
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esrj-99036	351	5	,	,	PUNCT
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esrj-99036	351	9	.	.	PUNCT
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esrj-99036	352	8	,	,	PUNCT
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esrj-99036	352	16	j.	j.	PROPN
esrj-99036	352	17	c.	c.	PROPN
esrj-99036	352	18	,	,	PUNCT
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esrj-99036	352	20	,	,	PUNCT
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esrj-99036	352	23	s.	s.	PROPN
esrj-99036	352	24	,	,	PUNCT
esrj-99036	352	25	&	&	CCONJ
esrj-99036	352	26	diaz	diaz	PROPN
esrj-99036	352	27	,	,	PUNCT
esrj-99036	352	28	p.	p.	PROPN
esrj-99036	352	29	g.	g.	PROPN
esrj-99036	352	30	(	(	PUNCT
esrj-99036	352	31	2005	2005	NUM
esrj-99036	352	32	)	)	PUNCT
esrj-99036	352	33	.	.	PUNCT
esrj-99036	353	1	estadísticas	estadísticas	PROPN
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esrj-99036	353	3	básicas	básicas	PROPN
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esrj-99036	353	8	(	(	PUNCT
esrj-99036	353	9	período	período	NOUN
esrj-99036	353	10	19612003	19612003	NUM
esrj-99036	353	11	)	)	PUNCT
esrj-99036	353	12	.	.	PUNCT
esrj-99036	354	1	libro	libro	PROPN
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esrj-99036	354	3	núm	núm	PROPN
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esrj-99036	355	2	.	.	X
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esrj-99036	358	15	a.	a.	PROPN
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esrj-99036	358	18	,	,	PUNCT
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esrj-99036	377	38	https://www.researchgate.net/profile/jose-ruiz-corral/publication/343047223_requerimientos_agroecologicos_de_cultivos_2da_edicion/links/5f1310e04585151299a4c447/requerimientos-agroecologicos-de-cultivos-2da-edicion.pdf	https://www.researchgate.net/profile/jose-ruiz-corral/publication/343047223_requerimientos_agroecologicos_de_cultivos_2da_edicion/links/5f1310e04585151299a4c447/requerimientos-agroecologicos-de-cultivos-2da-edicion.pdf	PROPN
esrj-99036	377	39	https://www.researchgate.net/profile/jose-ruiz-corral/publication/343047223_requerimientos_agroecologicos_de_cultivos_2da_edicion/links/5f1310e04585151299a4c447/requerimientos-agroecologicos-de-cultivos-2da-edicion.pdf	https://www.researchgate.net/profile/jose-ruiz-corral/publication/343047223_requerimientos_agroecologicos_de_cultivos_2da_edicion/links/5f1310e04585151299a4c447/requerimientos-agroecologicos-de-cultivos-2da-edicion.pdf	PROPN
esrj-99036	377	40	http://repositorio.uchile.cl/handle/2250/120284	http://repositorio.uchile.cl/handle/2250/120284	PROPN
esrj-99036	377	41	http://repositorio.uchile.cl/handle/2250/120284	http://repositorio.uchile.cl/handle/2250/120284	AUX
esrj-99036	377	42	https://issuu.com/senasica/docs/25_sinaloa_2015_sin	https://issuu.com/senasica/docs/25_sinaloa_2015_sin	VERB
esrj-99036	378	1	https://www.pacificclimate.org/~wernera/zyp/sen	https://www.pacificclimate.org/~wernera/zyp/sen	PUNCT
esrj-99036	378	2	1968	1968	NUM
esrj-99036	378	3	jasa.pdf	jasa.pdf	NOUN
esrj-99036	378	4	https://www.pacificclimate.org/~wernera/zyp/sen	https://www.pacificclimate.org/~wernera/zyp/sen	PUNCT
esrj-99036	378	5	1968	1968	NUM
esrj-99036	378	6	jasa.pdf	jasa.pdf	X
esrj-99036	378	7	84	84	NUM
esrj-99036	378	8	omar	omar	PROPN
esrj-99036	378	9	llanes	llanes	PROPN
esrj-99036	378	10	cárdenas	cárdenas	PROPN
esrj-99036	378	11	,	,	PUNCT
esrj-99036	378	12	lorenzo	lorenzo	PROPN
esrj-99036	378	13	cervantes	cervante	VERB
esrj-99036	378	14	arce	arce	PROPN
esrj-99036	378	15	,	,	PUNCT
esrj-99036	378	16	gabriel	gabriel	PROPN
esrj-99036	378	17	eduardo	eduardo	PROPN
esrj-99036	378	18	gonzález	gonzález	PROPN
esrj-99036	378	19	gonzález	gonzález	PROPN
esrj-99036	378	20	seneviratne	seneviratne	PROPN
esrj-99036	378	21	,	,	PUNCT
esrj-99036	378	22	s.	s.	PROPN
esrj-99036	378	23	i.	i.	PROPN
esrj-99036	378	24	,	,	PUNCT
esrj-99036	378	25	nicholls	nicholls	PROPN
esrj-99036	378	26	,	,	PUNCT
esrj-99036	378	27	n.	n.	PROPN
esrj-99036	378	28	,	,	PUNCT
esrj-99036	378	29	easterling	easterling	PROPN
esrj-99036	378	30	,	,	PUNCT
esrj-99036	378	31	d.	d.	PROPN
esrj-99036	378	32	,	,	PUNCT
esrj-99036	378	33	goodess	goodess	PROPN
esrj-99036	378	34	,	,	PUNCT
esrj-99036	378	35	c.	c.	PROPN
esrj-99036	378	36	m.	m.	NOUN
esrj-99036	378	37	,	,	PUNCT
esrj-99036	378	38	kanae	kanae	PROPN
esrj-99036	378	39	,	,	PUNCT
esrj-99036	378	40	s.	s.	PROPN
esrj-99036	378	41	,	,	PUNCT
esrj-99036	378	42	kossin	kossin	PROPN
esrj-99036	378	43	,	,	PUNCT
esrj-99036	378	44	j.	j.	PROPN
esrj-99036	378	45	,	,	PUNCT
esrj-99036	378	46	luo	luo	PROPN
esrj-99036	378	47	,	,	PUNCT
esrj-99036	378	48	y.	y.	PROPN
esrj-99036	378	49	,	,	PUNCT
esrj-99036	378	50	marengo	marengo	PROPN
esrj-99036	378	51	,	,	PUNCT
esrj-99036	378	52	j.	j.	PROPN
esrj-99036	378	53	,	,	PUNCT
esrj-99036	378	54	mcinnes	mcinnes	PROPN
esrj-99036	378	55	,	,	PUNCT
esrj-99036	378	56	k.	k.	PROPN
esrj-99036	378	57	,	,	PUNCT
esrj-99036	378	58	rahimi	rahimi	NOUN
esrj-99036	378	59	,	,	PUNCT
esrj-99036	378	60	m.	m.	NOUN
esrj-99036	378	61	,	,	PUNCT
esrj-99036	378	62	reichstein	reichstein	PROPN
esrj-99036	378	63	,	,	PUNCT
esrj-99036	378	64	m.	m.	NOUN
esrj-99036	378	65	,	,	PUNCT
esrj-99036	378	66	sorteberg	sorteberg	PROPN
esrj-99036	378	67	,	,	PUNCT
esrj-99036	378	68	a.	a.	NOUN
esrj-99036	378	69	,	,	PUNCT
esrj-99036	378	70	vera	vera	NOUN
esrj-99036	378	71	,	,	PUNCT
esrj-99036	378	72	c.	c.	PROPN
esrj-99036	378	73	,	,	PUNCT
esrj-99036	378	74	&	&	CCONJ
esrj-99036	378	75	zhang	zhang	PROPN
esrj-99036	378	76	,	,	PUNCT
esrj-99036	378	77	x.	x.	PROPN
esrj-99036	378	78	(	(	PUNCT
esrj-99036	378	79	2012	2012	NUM
esrj-99036	378	80	)	)	PUNCT
esrj-99036	378	81	.	.	PUNCT
esrj-99036	379	1	changes	change	NOUN
esrj-99036	379	2	in	in	ADP
esrj-99036	379	3	climate	climate	NOUN
esrj-99036	379	4	extremes	extreme	NOUN
esrj-99036	379	5	and	and	CCONJ
esrj-99036	379	6	their	their	PRON
esrj-99036	379	7	impacts	impact	NOUN
esrj-99036	379	8	on	on	ADP
esrj-99036	379	9	the	the	DET
esrj-99036	379	10	natural	natural	ADJ
esrj-99036	379	11	physical	physical	ADJ
esrj-99036	379	12	environment	environment	NOUN
esrj-99036	379	13	.	.	PUNCT
esrj-99036	380	1	in	in	ADP
esrj-99036	380	2	:	:	PUNCT
esrj-99036	380	3	field	field	NOUN
esrj-99036	380	4	,	,	PUNCT
esrj-99036	380	5	c.	c.	PROPN
esrj-99036	380	6	b.	b.	PROPN
esrj-99036	380	7	,	,	PUNCT
esrj-99036	380	8	barros	barros	PROPN
esrj-99036	380	9	,	,	PUNCT
esrj-99036	380	10	v.	v.	PROPN
esrj-99036	380	11	,	,	PUNCT
esrj-99036	380	12	stocker	stocker	NOUN
esrj-99036	380	13	,	,	PUNCT
esrj-99036	380	14	t.	t.	PROPN
esrj-99036	380	15	f.	f.	PROPN
esrj-99036	380	16	,	,	PUNCT
esrj-99036	380	17	qin	qin	PROPN
esrj-99036	380	18	,	,	PUNCT
esrj-99036	380	19	d.	d.	PROPN
esrj-99036	380	20	,	,	PUNCT
esrj-99036	380	21	dokken	dokken	PROPN
esrj-99036	380	22	,	,	PUNCT
esrj-99036	380	23	d.	d.	PROPN
esrj-99036	380	24	j.	j.	PROPN
esrj-99036	380	25	,	,	PUNCT
esrj-99036	380	26	ebi	ebi	PROPN
esrj-99036	380	27	,	,	PUNCT
esrj-99036	380	28	k.	k.	PROPN
esrj-99036	380	29	l.	l.	PROPN
esrj-99036	380	30	,	,	PUNCT
esrj-99036	380	31	mastrandrea	mastrandrea	PROPN
esrj-99036	380	32	,	,	PUNCT
esrj-99036	380	33	m.	m.	NOUN
esrj-99036	380	34	d.	d.	PROPN
esrj-99036	380	35	,	,	PUNCT
esrj-99036	380	36	mach	mach	PROPN
esrj-99036	380	37	,	,	PUNCT
esrj-99036	380	38	k.	k.	PROPN
esrj-99036	380	39	j.	j.	PROPN
esrj-99036	380	40	,	,	PUNCT
esrj-99036	380	41	plattner	plattner	NOUN
esrj-99036	380	42	,	,	PUNCT
esrj-99036	380	43	g.	g.	PROPN
esrj-99036	380	44	k.	k.	PROPN
esrj-99036	380	45	,	,	PUNCT
esrj-99036	380	46	allen	allen	PROPN
esrj-99036	380	47	,	,	PUNCT
esrj-99036	380	48	s.	s.	PROPN
esrj-99036	380	49	k.	k.	PROPN
esrj-99036	380	50	,	,	PUNCT
esrj-99036	380	51	tignor	tignor	NOUN
esrj-99036	380	52	,	,	PUNCT
esrj-99036	380	53	m.	m.	NOUN
esrj-99036	380	54	,	,	PUNCT
esrj-99036	380	55	&	&	CCONJ
esrj-99036	380	56	midgley	midgley	PROPN
esrj-99036	380	57	,	,	PUNCT
esrj-99036	380	58	p.	p.	NOUN
esrj-99036	380	59	m.	m.	NOUN
esrj-99036	380	60	(	(	PUNCT
esrj-99036	380	61	eds	ed	NOUN
esrj-99036	380	62	.	.	PUNCT
esrj-99036	380	63	)	)	PUNCT
esrj-99036	381	1	managing	manage	VERB
esrj-99036	381	2	the	the	DET
esrj-99036	381	3	risks	risk	NOUN
esrj-99036	381	4	of	of	ADP
esrj-99036	381	5	extreme	extreme	ADJ
esrj-99036	381	6	events	event	NOUN
esrj-99036	381	7	and	and	CCONJ
esrj-99036	381	8	disasters	disaster	NOUN
esrj-99036	381	9	to	to	PART
esrj-99036	381	10	advance	advance	VERB
esrj-99036	381	11	climate	climate	NOUN
esrj-99036	381	12	change	change	NOUN
esrj-99036	381	13	adaptation	adaptation	NOUN
esrj-99036	381	14	a	a	DET
esrj-99036	381	15	special	special	ADJ
esrj-99036	381	16	report	report	NOUN
esrj-99036	381	17	of	of	ADP
esrj-99036	381	18	working	working	NOUN
esrj-99036	381	19	groups	group	NOUN
esrj-99036	381	20	i	i	PRON
esrj-99036	381	21	and	and	CCONJ
esrj-99036	381	22	ii	ii	PROPN
esrj-99036	381	23	of	of	ADP
esrj-99036	381	24	the	the	DET
esrj-99036	381	25	intergovernmental	intergovernmental	ADJ
esrj-99036	381	26	panel	panel	NOUN
esrj-99036	381	27	on	on	ADP
esrj-99036	381	28	climate	climate	NOUN
esrj-99036	381	29	change	change	NOUN
esrj-99036	381	30	(	(	PUNCT
esrj-99036	381	31	ipcc	ipcc	NOUN
esrj-99036	381	32	)	)	PUNCT
esrj-99036	381	33	.	.	PUNCT
esrj-99036	382	1	cambridge	cambridge	PROPN
esrj-99036	382	2	university	university	PROPN
esrj-99036	382	3	press	press	PROPN
esrj-99036	382	4	,	,	PUNCT
esrj-99036	382	5	cambridge	cambridge	PROPN
esrj-99036	382	6	,	,	PUNCT
esrj-99036	382	7	uk	uk	PROPN
esrj-99036	382	8	,	,	PUNCT
esrj-99036	382	9	and	and	CCONJ
esrj-99036	382	10	new	new	PROPN
esrj-99036	382	11	york	york	PROPN
esrj-99036	382	12	,	,	PUNCT
esrj-99036	382	13	ny	ny	PROPN
esrj-99036	382	14	,	,	PUNCT
esrj-99036	382	15	usa	usa	PROPN
esrj-99036	382	16	,	,	PUNCT
esrj-99036	382	17	109	109	NUM
esrj-99036	382	18	-	-	SYM
esrj-99036	382	19	230	230	NUM
esrj-99036	382	20	.	.	PUNCT
esrj-99036	383	1	seneviratne	seneviratne	PROPN
esrj-99036	383	2	,	,	PUNCT
esrj-99036	383	3	s.	s.	PROPN
esrj-99036	383	4	i.	i.	PROPN
esrj-99036	383	5	,	,	PUNCT
esrj-99036	383	6	nicholls	nicholls	PROPN
esrj-99036	383	7	,	,	PUNCT
esrj-99036	383	8	n.	n.	PROPN
esrj-99036	383	9	,	,	PUNCT
esrj-99036	383	10	easterling	easterling	PROPN
esrj-99036	383	11	,	,	PUNCT
esrj-99036	383	12	d.	d.	PROPN
esrj-99036	383	13	,	,	PUNCT
esrj-99036	383	14	goodess	goodess	PROPN
esrj-99036	383	15	,	,	PUNCT
esrj-99036	383	16	c.	c.	PROPN
esrj-99036	383	17	m.	m.	NOUN
esrj-99036	383	18	,	,	PUNCT
esrj-99036	383	19	kanae	kanae	PROPN
esrj-99036	383	20	,	,	PUNCT
esrj-99036	383	21	s.	s.	PROPN
esrj-99036	383	22	,	,	PUNCT
esrj-99036	383	23	kossin	kossin	PROPN
esrj-99036	383	24	,	,	PUNCT
esrj-99036	383	25	j.	j.	PROPN
esrj-99036	383	26	,	,	PUNCT
esrj-99036	383	27	luo	luo	PROPN
esrj-99036	383	28	,	,	PUNCT
esrj-99036	383	29	y.	y.	PROPN
esrj-99036	383	30	,	,	PUNCT
esrj-99036	383	31	marengo	marengo	PROPN
esrj-99036	383	32	,	,	PUNCT
esrj-99036	383	33	j.	j.	PROPN
esrj-99036	383	34	,	,	PUNCT
esrj-99036	383	35	mcinnes	mcinnes	PROPN
esrj-99036	383	36	,	,	PUNCT
esrj-99036	383	37	k.	k.	PROPN
esrj-99036	383	38	,	,	PUNCT
esrj-99036	383	39	rahimi	rahimi	NOUN
esrj-99036	383	40	,	,	PUNCT
esrj-99036	383	41	m.	m.	NOUN
esrj-99036	383	42	,	,	PUNCT
esrj-99036	383	43	reichstein	reichstein	PROPN
esrj-99036	383	44	,	,	PUNCT
esrj-99036	383	45	m.	m.	NOUN
esrj-99036	383	46	,	,	PUNCT
esrj-99036	383	47	sorteberg	sorteberg	PROPN
esrj-99036	383	48	,	,	PUNCT
esrj-99036	383	49	a.	a.	NOUN
esrj-99036	383	50	,	,	PUNCT
esrj-99036	383	51	vera	vera	NOUN
esrj-99036	383	52	,	,	PUNCT
esrj-99036	383	53	c.	c.	PROPN
esrj-99036	383	54	,	,	PUNCT
esrj-99036	383	55	&	&	CCONJ
esrj-99036	383	56	zhang	zhang	PROPN
esrj-99036	383	57	,	,	PUNCT
esrj-99036	383	58	x.	x.	PROPN
esrj-99036	383	59	(	(	PUNCT
esrj-99036	383	60	2012	2012	NUM
esrj-99036	383	61	)	)	PUNCT
esrj-99036	383	62	.	.	PUNCT
esrj-99036	384	1	changes	change	NOUN
esrj-99036	384	2	in	in	ADP
esrj-99036	384	3	climate	climate	NOUN
esrj-99036	384	4	extremes	extreme	NOUN
esrj-99036	384	5	and	and	CCONJ
esrj-99036	384	6	their	their	PRON
esrj-99036	384	7	impacts	impact	NOUN
esrj-99036	384	8	on	on	ADP
esrj-99036	384	9	the	the	DET
esrj-99036	384	10	natural	natural	ADJ
esrj-99036	384	11	physical	physical	ADJ
esrj-99036	384	12	environment	environment	NOUN
esrj-99036	384	13	.	.	PUNCT
esrj-99036	385	1	in	in	ADP
esrj-99036	385	2	:	:	PUNCT
esrj-99036	385	3	c.	c.	NOUN
esrj-99036	385	4	field	field	PROPN
esrj-99036	385	5	et	et	PROPN
esrj-99036	385	6	al	al	PROPN
esrj-99036	385	7	.	.	PROPN
esrj-99036	385	8	(	(	PUNCT
esrj-99036	385	9	eds	ed	NOUN
esrj-99036	385	10	.	.	PUNCT
esrj-99036	385	11	)	)	PUNCT
esrj-99036	385	12	.	.	PUNCT
esrj-99036	386	1	managing	manage	VERB
esrj-99036	386	2	the	the	DET
esrj-99036	386	3	risks	risk	NOUN
esrj-99036	386	4	of	of	ADP
esrj-99036	386	5	extreme	extreme	ADJ
esrj-99036	386	6	events	event	NOUN
esrj-99036	386	7	and	and	CCONJ
esrj-99036	386	8	disasters	disaster	NOUN
esrj-99036	386	9	to	to	PART
esrj-99036	386	10	advance	advance	VERB
esrj-99036	386	11	climate	climate	NOUN
esrj-99036	386	12	change	change	NOUN
esrj-99036	386	13	adaptation	adaptation	NOUN
esrj-99036	386	14	,	,	PUNCT
esrj-99036	386	15	a	a	DET
esrj-99036	386	16	special	special	ADJ
esrj-99036	386	17	report	report	NOUN
esrj-99036	386	18	of	of	ADP
esrj-99036	386	19	working	working	NOUN
esrj-99036	386	20	groups	group	NOUN
esrj-99036	386	21	i	i	PRON
esrj-99036	386	22	and	and	CCONJ
esrj-99036	386	23	ii	ii	PROPN
esrj-99036	386	24	of	of	ADP
esrj-99036	386	25	the	the	DET
esrj-99036	386	26	intergovernmental	intergovernmental	ADJ
esrj-99036	386	27	panel	panel	NOUN
esrj-99036	386	28	on	on	ADP
esrj-99036	386	29	climate	climate	NOUN
esrj-99036	386	30	change	change	NOUN
esrj-99036	386	31	(	(	PUNCT
esrj-99036	386	32	ipcc	ipcc	NOUN
esrj-99036	386	33	)	)	PUNCT
esrj-99036	386	34	.	.	PUNCT
esrj-99036	387	1	cambridge	cambridge	PROPN
esrj-99036	387	2	univ	univ	PROPN
esrj-99036	387	3	.	.	PUNCT
esrj-99036	388	1	press	press	PROPN
esrj-99036	388	2	,	,	PUNCT
esrj-99036	388	3	cambridge	cambridge	PROPN
esrj-99036	388	4	,	,	PUNCT
esrj-99036	388	5	u.k	u.k	PROPN
esrj-99036	388	6	.	.	PROPN
esrj-99036	388	7	,	,	PUNCT
esrj-99036	388	8	and	and	CCONJ
esrj-99036	388	9	new	new	PROPN
esrj-99036	388	10	york	york	PROPN
esrj-99036	388	11	.	.	PUNCT
esrj-99036	389	1	pp	pp	X
esrj-99036	389	2	.	.	PUNCT
esrj-99036	390	1	109–230	109–230	NUM
esrj-99036	390	2	.	.	PUNCT
esrj-99036	391	1	https://www.ipcc	https://www.ipcc	PROPN
esrj-99036	391	2	.	.	PUNCT
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esrj-99036	391	7	assets	asset	NOUN
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esrj-99036	391	11	srex	srex	NOUN
esrj-99036	391	12	-	-	PUNCT
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esrj-99036	391	14	sheridan	sheridan	PROPN
esrj-99036	391	15	,	,	PUNCT
esrj-99036	391	16	s.	s.	PROPN
esrj-99036	391	17	c.	c.	PROPN
esrj-99036	391	18	,	,	PUNCT
esrj-99036	391	19	&	&	CCONJ
esrj-99036	391	20	lee	lee	PROPN
esrj-99036	391	21	,	,	PUNCT
esrj-99036	391	22	c.	c.	PROPN
esrj-99036	391	23	c.	c.	PROPN
esrj-99036	391	24	(	(	PUNCT
esrj-99036	391	25	2018	2018	NUM
esrj-99036	391	26	)	)	PUNCT
esrj-99036	391	27	.	.	PUNCT
esrj-99036	392	1	temporal	temporal	ADJ
esrj-99036	392	2	trends	trend	NOUN
esrj-99036	392	3	in	in	ADP
esrj-99036	392	4	absolute	absolute	ADJ
esrj-99036	392	5	and	and	CCONJ
esrj-99036	392	6	relative	relative	ADJ
esrj-99036	392	7	extreme	extreme	ADJ
esrj-99036	392	8	temperature	temperature	NOUN
esrj-99036	392	9	events	event	NOUN
esrj-99036	392	10	across	across	ADP
esrj-99036	392	11	north	north	PROPN
esrj-99036	392	12	america	america	PROPN
esrj-99036	392	13	.	.	PUNCT
esrj-99036	393	1	journal	journal	PROPN
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esrj-99036	393	3	geophysical	geophysical	ADJ
esrj-99036	393	4	research	research	NOUN
esrj-99036	393	5	:	:	PUNCT
esrj-99036	393	6	atmospheres	atmosphere	NOUN
esrj-99036	393	7	,	,	PUNCT
esrj-99036	393	8	123(11	123(11	NUM
esrj-99036	393	9	)	)	PUNCT
esrj-99036	393	10	,	,	PUNCT
esrj-99036	393	11	889–898	889–898	NUM
esrj-99036	393	12	.	.	PUNCT
esrj-99036	394	1	https://doi	https://doi	PROPN
esrj-99036	394	2	.	.	PROPN
esrj-99036	394	3	org/10.1029/2018jd029150	org/10.1029/2018jd029150	PROPN
esrj-99036	394	4	strupczewski	strupczewski	PROPN
esrj-99036	394	5	,	,	PUNCT
esrj-99036	394	6	w.	w.	PROPN
esrj-99036	394	7	,	,	PUNCT
esrj-99036	394	8	singh	singh	PROPN
esrj-99036	394	9	,	,	PUNCT
esrj-99036	394	10	v.	v.	ADV
esrj-99036	394	11	,	,	PUNCT
esrj-99036	394	12	&	&	CCONJ
esrj-99036	394	13	feluch	feluch	ADJ
esrj-99036	394	14	,	,	PUNCT
esrj-99036	394	15	w.	w.	PROPN
esrj-99036	394	16	(	(	PUNCT
esrj-99036	394	17	2001	2001	NUM
esrj-99036	394	18	)	)	PUNCT
esrj-99036	394	19	.	.	PUNCT
esrj-99036	395	1	non	non	ADJ
esrj-99036	395	2	-	-	ADJ
esrj-99036	395	3	stationary	stationary	ADJ
esrj-99036	395	4	approach	approach	NOUN
esrj-99036	395	5	to	to	ADP
esrj-99036	395	6	at	at	ADP
esrj-99036	395	7	-	-	PUNCT
esrj-99036	395	8	site	site	NOUN
esrj-99036	395	9	flood	flood	NOUN
esrj-99036	395	10	frequency	frequency	NOUN
esrj-99036	395	11	modelling	modelling	NOUN
esrj-99036	395	12	.	.	PUNCT
esrj-99036	396	1	maximum	maximum	ADJ
esrj-99036	396	2	likelihood	likelihood	NOUN
esrj-99036	396	3	estimation	estimation	NOUN
esrj-99036	396	4	.	.	PUNCT
esrj-99036	397	1	journal	journal	NOUN
esrj-99036	397	2	of	of	ADP
esrj-99036	397	3	hydrology	hydrology	NOUN
esrj-99036	397	4	,	,	PUNCT
esrj-99036	397	5	248	248	NUM
esrj-99036	397	6	,	,	PUNCT
esrj-99036	397	7	123–142	123–142	NUM
esrj-99036	397	8	.	.	PUNCT
esrj-99036	398	1	https://doi.org/10.1016/s00221694(01)00397-3	https://doi.org/10.1016/s00221694(01)00397-3	PROPN
esrj-99036	398	2	wang	wang	PROPN
esrj-99036	398	3	,	,	PUNCT
esrj-99036	398	4	j.	j.	PROPN
esrj-99036	398	5	,	,	PUNCT
esrj-99036	398	6	han	han	PROPN
esrj-99036	398	7	,	,	PUNCT
esrj-99036	398	8	y.	y.	PROPN
esrj-99036	398	9	,	,	PUNCT
esrj-99036	398	10	stein	stein	PROPN
esrj-99036	398	11	,	,	PUNCT
esrj-99036	398	12	m.	m.	PROPN
esrj-99036	398	13	l.	l.	PROPN
esrj-99036	398	14	,	,	PUNCT
esrj-99036	398	15	kotamarthi	kotamarthi	PROPN
esrj-99036	398	16	,	,	PUNCT
esrj-99036	398	17	v.	v.	PROPN
esrj-99036	398	18	r.	r.	PROPN
esrj-99036	398	19	,	,	PUNCT
esrj-99036	398	20	&	&	CCONJ
esrj-99036	398	21	huang	huang	PROPN
esrj-99036	398	22	,	,	PUNCT
esrj-99036	398	23	w.	w.	PROPN
esrj-99036	398	24	(	(	PUNCT
esrj-99036	398	25	2016	2016	NUM
esrj-99036	398	26	)	)	PUNCT
esrj-99036	398	27	.	.	PUNCT
esrj-99036	399	1	evaluation	evaluation	NOUN
esrj-99036	399	2	of	of	ADP
esrj-99036	399	3	dynamically	dynamically	ADV
esrj-99036	399	4	downscaled	downscale	VERB
esrj-99036	399	5	extreme	extreme	ADJ
esrj-99036	399	6	temperature	temperature	NOUN
esrj-99036	399	7	using	use	VERB
esrj-99036	399	8	a	a	DET
esrj-99036	399	9	spatially	spatially	ADV
esrj-99036	399	10	-	-	PUNCT
esrj-99036	399	11	aggregated	aggregate	VERB
esrj-99036	399	12	generalized	generalized	ADJ
esrj-99036	399	13	extreme	extreme	ADJ
esrj-99036	399	14	value	value	NOUN
esrj-99036	399	15	(	(	PUNCT
esrj-99036	399	16	gev	gev	NOUN
esrj-99036	399	17	)	)	PUNCT
esrj-99036	399	18	model	model	NOUN
esrj-99036	399	19	.	.	PUNCT
esrj-99036	400	1	climate	climate	NOUN
esrj-99036	400	2	dynamics	dynamic	NOUN
esrj-99036	400	3	,	,	PUNCT
esrj-99036	400	4	47	47	NUM
esrj-99036	400	5	,	,	PUNCT
esrj-99036	400	6	2833–2849	2833–2849	NUM
esrj-99036	400	7	.	.	PUNCT
esrj-99036	401	1	https://doi.org/10.1007/s00382-016-3000-3	https://doi.org/10.1007/s00382-016-3000-3	PROPN
esrj-99036	401	2	woong	woong	PROPN
esrj-99036	401	3	,	,	PUNCT
esrj-99036	401	4	t.	t.	PROPN
esrj-99036	401	5	k.	k.	PROPN
esrj-99036	401	6	,	,	PUNCT
esrj-99036	401	7	yoo	yoo	PROPN
esrj-99036	401	8	,	,	PUNCT
esrj-99036	401	9	c.	c.	PROPN
esrj-99036	401	10	,	,	PUNCT
esrj-99036	401	11	&	&	CCONJ
esrj-99036	401	12	valdés	valdés	PROPN
esrj-99036	401	13	,	,	PUNCT
esrj-99036	401	14	j.	j.	PROPN
esrj-99036	401	15	b.	b.	PROPN
esrj-99036	401	16	(	(	PUNCT
esrj-99036	401	17	2003	2003	NUM
esrj-99036	401	18	)	)	PUNCT
esrj-99036	401	19	.	.	PUNCT
esrj-99036	402	1	nonparametric	nonparametric	NOUN
esrj-99036	402	2	approach	approach	NOUN
esrj-99036	402	3	for	for	ADP
esrj-99036	402	4	estimating	estimate	VERB
esrj-99036	402	5	effects	effect	NOUN
esrj-99036	402	6	of	of	ADP
esrj-99036	402	7	enso	enso	PROPN
esrj-99036	402	8	on	on	ADP
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esrj-99036	402	13	.	.	PUNCT
esrj-99036	403	1	ksce	ksce	PROPN
esrj-99036	403	2	journal	journal	PROPN
esrj-99036	403	3	of	of	ADP
esrj-99036	403	4	civil	civil	ADJ
esrj-99036	403	5	engineering	engineering	NOUN
esrj-99036	403	6	,	,	PUNCT
esrj-99036	403	7	7(5	7(5	NUM
esrj-99036	403	8	)	)	PUNCT
esrj-99036	403	9	,	,	PUNCT
esrj-99036	403	10	629–636	629–636	NUM
esrj-99036	403	11	.	.	PUNCT
esrj-99036	404	1	world	world	PROPN
esrj-99036	404	2	bank	bank	PROPN
esrj-99036	404	3	,	,	PUNCT
esrj-99036	404	4	ciat	ciat	PROPN
esrj-99036	404	5	,	,	PUNCT
esrj-99036	404	6	&	&	CCONJ
esrj-99036	404	7	catie	catie	PROPN
esrj-99036	404	8	.	.	PUNCT
esrj-99036	405	1	(	(	PUNCT
esrj-99036	405	2	2014	2014	NUM
esrj-99036	405	3	)	)	PUNCT
esrj-99036	405	4	.	.	PUNCT
esrj-99036	406	1	agricultura	agricultura	PROPN
esrj-99036	406	2	climáticamente	climáticamente	PROPN
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esrj-99036	406	4	en	en	PROPN
esrj-99036	406	5	sinaloa	sinaloa	PROPN
esrj-99036	406	6	,	,	PUNCT
esrj-99036	406	7	méxico	méxico	PROPN
esrj-99036	406	8	.	.	PUNCT
esrj-99036	407	1	serie	serie	PROPN
esrj-99036	407	2	de	de	PROPN
esrj-99036	407	3	perfiles	perfiles	PROPN
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esrj-99036	407	5	de	de	PROPN
esrj-99036	407	6	agricultura	agricultura	PROPN
esrj-99036	407	7	climáticamente	climáticamente	PROPN
esrj-99036	407	8	inteligente	inteligente	PROPN
esrj-99036	407	9	para	para	PROPN
esrj-99036	407	10	américa	américa	PROPN
esrj-99036	407	11	latina	latina	PROPN
esrj-99036	407	12	.	.	PUNCT
esrj-99036	408	1	washington	washington	PROPN
esrj-99036	408	2	d.c	d.c	PROPN
esrj-99036	408	3	.	.	PUNCT
esrj-99036	408	4	:	:	PUNCT
esrj-99036	409	1	grupo	grupo	PROPN
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esrj-99036	409	5	,	,	PUNCT
esrj-99036	409	6	12p	12p	NOUN
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esrj-99036	410	1	https://cgspace.cgiar.org/bitstream/handle/10568/52994/	https://cgspace.cgiar.org/bitstream/handle/10568/52994/	X
esrj-99036	411	1	csa-en-sinaloa-mexico.pdf?sequence=7&isallowed=y	csa-en-sinaloa-mexico.pdf?sequence=7&isallowed=y	NOUN
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esrj-99036	411	3	.	.	PUNCT
esrj-99036	412	1	(	(	PUNCT
esrj-99036	412	2	2022	2022	NUM
esrj-99036	412	3	)	)	PUNCT
esrj-99036	412	4	.	.	PUNCT
esrj-99036	413	1	user	user	NOUN
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esrj-99036	413	4	.	.	PUNCT
esrj-99036	414	1	1657p	1657p	NUM
esrj-99036	414	2	.	.	PUNCT
esrj-99036	415	1	https://cdn.xlstat.com/helpcentersfdc/	https://cdn.xlstat.com/helpcentersfdc/	PROPN
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esrj-99036	415	4	,	,	PUNCT
esrj-99036	415	5	w.	w.	PROPN
esrj-99036	415	6	,	,	PUNCT
esrj-99036	415	7	cai	cai	PROPN
esrj-99036	415	8	,	,	PUNCT
esrj-99036	415	9	w.	w.	PROPN
esrj-99036	415	10	,	,	PUNCT
esrj-99036	415	11	chen	chen	PROPN
esrj-99036	415	12	,	,	PUNCT
esrj-99036	415	13	y.	y.	PROPN
esrj-99036	415	14	,	,	PUNCT
esrj-99036	415	15	liu	liu	PROPN
esrj-99036	415	16	,	,	PUNCT
esrj-99036	415	17	s.	s.	PROPN
esrj-99036	415	18	,	,	PUNCT
esrj-99036	415	19	dong	dong	PROPN
esrj-99036	415	20	,	,	PUNCT
esrj-99036	415	21	w.	w.	PROPN
esrj-99036	415	22	,	,	PUNCT
esrj-99036	415	23	zhang	zhang	PROPN
esrj-99036	415	24	,	,	PUNCT
esrj-99036	415	25	h.	h.	PROPN
esrj-99036	415	26	,	,	PUNCT
esrj-99036	415	27	yu	yu	PROPN
esrj-99036	415	28	,	,	PUNCT
esrj-99036	415	29	g.	g.	PROPN
esrj-99036	415	30	,	,	PUNCT
esrj-99036	415	31	chen	chen	PROPN
esrj-99036	415	32	,	,	PUNCT
esrj-99036	415	33	z	z	PROPN
esrj-99036	415	34	,	,	PUNCT
esrj-99036	415	35	he	he	PRON
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esrj-99036	415	37	h.	h.	PROPN
esrj-99036	415	38	,	,	PUNCT
esrj-99036	415	39	guo	guo	PROPN
esrj-99036	415	40	,	,	PUNCT
esrj-99036	415	41	w.	w.	PROPN
esrj-99036	415	42	,	,	PUNCT
esrj-99036	415	43	liu	liu	PROPN
esrj-99036	415	44	,	,	PUNCT
esrj-99036	415	45	d.	d.	PROPN
esrj-99036	415	46	,	,	PUNCT
esrj-99036	415	47	liu	liu	PROPN
esrj-99036	415	48	,	,	PUNCT
esrj-99036	415	49	s.	s.	PROPN
esrj-99036	415	50	,	,	PUNCT
esrj-99036	415	51	xiang	xiang	PROPN
esrj-99036	415	52	,	,	PUNCT
esrj-99036	415	53	w.	w.	PROPN
esrj-99036	415	54	,	,	PUNCT
esrj-99036	415	55	xie	xie	PROPN
esrj-99036	415	56	,	,	PUNCT
esrj-99036	415	57	z.	z.	PROPN
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esrj-99036	415	59	zhao	zhao	PROPN
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esrj-99036	415	61	z.	z.	PROPN
esrj-99036	415	62	,	,	PUNCT
esrj-99036	415	63	&	&	CCONJ
esrj-99036	415	64	zhou	zhou	PROPN
esrj-99036	415	65	,	,	PUNCT
esrj-99036	415	66	g.	g.	PROPN
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esrj-99036	415	68	2016	2016	NUM
esrj-99036	415	69	)	)	PUNCT
esrj-99036	415	70	.	.	PUNCT
esrj-99036	416	1	severe	severe	ADJ
esrj-99036	416	2	summer	summer	NOUN
esrj-99036	416	3	heatwave	heatwave	NOUN
esrj-99036	416	4	and	and	CCONJ
esrj-99036	416	5	drought	drought	NOUN
esrj-99036	416	6	strongly	strongly	ADV
esrj-99036	416	7	reduced	reduce	VERB
esrj-99036	416	8	carbon	carbon	NOUN
esrj-99036	416	9	uptake	uptake	ADJ
esrj-99036	416	10	in	in	ADP
esrj-99036	416	11	southern	southern	ADJ
esrj-99036	416	12	china	china	PROPN
esrj-99036	416	13	.	.	PUNCT
esrj-99036	417	1	scientific	scientific	ADJ
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esrj-99036	417	3	,	,	PUNCT
esrj-99036	417	4	6	6	NUM
esrj-99036	417	5	,	,	PUNCT
esrj-99036	417	6	18813	18813	NUM
esrj-99036	417	7	.	.	PUNCT
esrj-99036	418	1	https://doi.org/10.1038/	https://doi.org/10.1038/	PROPN
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esrj-99036	418	4	https://www.ipcc.ch/site/assets/uploads/2018/03/srex-chap3_final-1.pdf	https://www.ipcc.ch/site/assets/uploads/2018/03/srex-chap3_final-1.pdf	NOUN
esrj-99036	418	5	https://doi.org/10.1029/2018jd029150	https://doi.org/10.1029/2018jd029150	PROPN
esrj-99036	418	6	https://doi.org/10.1029/2018jd029150	https://doi.org/10.1029/2018jd029150	PROPN
esrj-99036	418	7	https://doi.org/10.1016/s0022-1694(01)00397-3	https://doi.org/10.1016/s0022-1694(01)00397-3	PROPN
esrj-99036	418	8	https://doi.org/10.1016/s0022-1694(01)00397-3	https://doi.org/10.1016/s0022-1694(01)00397-3	PROPN
esrj-99036	418	9	https://doi.org/10.1007/s00382-016-3000-3	https://doi.org/10.1007/s00382-016-3000-3	PROPN
esrj-99036	418	10	https://doi.org/10.1038/srep18813	https://doi.org/10.1038/srep18813	PROPN
esrj-99036	418	11	https://doi.org/10.1038/srep18813	https://doi.org/10.1038/srep18813	PROPN
esrj-99036	419	1	_	_	DET
esrj-99036	419	2	hlk77944864	hlk77944864	NOUN
esrj-99036	420	1	_	_	DET
esrj-99036	420	2	hlk61785291	hlk61785291	NOUN
esrj-99036	420	3	_	_	PRON
esrj-99036	420	4	hlk61785307	hlk61785307	X
esrj-99036	421	1	_	_	DET
esrj-99036	421	2	hlk61785396	hlk61785396	NOUN
esrj-99036	421	3	_	_	PRON
esrj-99036	421	4	hlk61785199	hlk61785199	NOUN
esrj-99036	421	5	_	_	DET
esrj-99036	421	6	hlk61785137	hlk61785137	NOUN
esrj-99036	421	7	_	_	DET
esrj-99036	421	8	hlk61786022	hlk61786022	NOUN
esrj-99036	421	9	_	_	DET
esrj-99036	421	10	hlk77945029	hlk77945029	NOUN
esrj-99036	421	11	_	_	PRON
esrj-99036	421	12	hlk77945207	hlk77945207	VERB
esrj-99036	421	13	_	_	PUNCT
esrj-99036	421	14	hlk77945253	hlk77945253	VERB
esrj-99036	421	15	_	_	DET
esrj-99036	421	16	hlk77945338	hlk77945338	NOUN
esrj-99036	421	17	_	_	PRON
esrj-99036	421	18	hlk126059838	hlk126059838	VERB
esrj-99036	421	19	_	_	DET
esrj-99036	421	20	hlk77945819	hlk77945819	ADV
esrj-99036	421	21	_	_	PRON
esrj-99036	421	22	hlk77945989	hlk77945989	VERB
esrj-99036	422	1	_	_	DET
esrj-99036	422	2	hlk77946015	hlk77946015	NOUN
esrj-99036	422	3	_	_	PRON
esrj-99036	422	4	hlk127364279	hlk127364279	NOUN
esrj-99036	422	5	_	_	DET
esrj-99036	422	6	hlk77946042	hlk77946042	NOUN
esrj-99036	423	1	_	_	PUNCT
esrj-99036	423	2	hlk77946130	hlk77946130	VERB
esrj-99036	423	3	_	_	DET
esrj-99036	423	4	hlk77946192	hlk77946192	NOUN
esrj-99036	424	1	_	_	DET
esrj-99036	424	2	hlk77946403	hlk77946403	NOUN
esrj-99036	424	3	_	_	DET
esrj-99036	424	4	hlk77946442	hlk77946442	NOUN
esrj-99036	424	5	_	_	PUNCT
esrj-99036	424	6	hlk127436379	hlk127436379	NOUN
esrj-99036	424	7	_	_	DET
esrj-99036	424	8	hlk77947717	hlk77947717	NOUN
esrj-99036	425	1	_	_	X
esrj-99036	425	2	hlk77947764	hlk77947764	ADJ
esrj-99036	425	3	_	_	PRON
esrj-99036	425	4	hlk77947789	hlk77947789	ADV
esrj-99036	425	5	_	_	PRON
esrj-99036	425	6	hlk77947829	hlk77947829	NOUN
esrj-99036	425	7	_	_	PUNCT
esrj-99036	425	8	hlk77947870	hlk77947870	NOUN
esrj-99036	425	9	_	_	DET
esrj-99036	425	10	hlk77948290	hlk77948290	NOUN
esrj-99036	425	11	_	_	DET
esrj-99036	425	12	hlk77948330	hlk77948330	NOUN
esrj-99036	425	13	_	_	DET
esrj-99036	425	14	hlk77948394	hlk77948394	NOUN
esrj-99036	425	15	_	_	PRON
esrj-99036	425	16	hlk77948468	hlk77948468	VERB
esrj-99036	425	17	_	_	DET
esrj-99036	425	18	hlk77948578	hlk77948578	NOUN
esrj-99036	425	19	_	_	DET
esrj-99036	425	20	hlk77948648	hlk77948648	NOUN
esrj-99036	425	21	_	_	PUNCT
esrj-99036	425	22	hlk77948673	hlk77948673	VERB
esrj-99036	425	23	_	_	PRON
esrj-99036	425	24	hlk77948711	hlk77948711	NOUN
esrj-99036	425	25	_	_	PRON
esrj-99036	425	26	hlk77948941	hlk77948941	ADJ