id	sid	tid	token	lemma	pos
fcis-22624	1	1	frontiers	frontier	NOUN
fcis-22624	1	2	in	in	ADP
fcis-22624	1	3	computing	computing	NOUN
fcis-22624	1	4	and	and	CCONJ
fcis-22624	1	5	intelligent	intelligent	ADJ
fcis-22624	1	6	systems	system	NOUN
fcis-22624	1	7	issn	issn	VERB
fcis-22624	1	8	:	:	PUNCT
fcis-22624	1	9	2832	2832	NUM
fcis-22624	1	10	-	-	SYM
fcis-22624	1	11	6024	6024	NUM
fcis-22624	1	12	|	|	NOUN
fcis-22624	1	13	vol	vol	NOUN
fcis-22624	1	14	.	.	PROPN
fcis-22624	2	1	8	8	NUM
fcis-22624	2	2	,	,	PUNCT
fcis-22624	2	3	no	no	INTJ
fcis-22624	2	4	.	.	NOUN
fcis-22624	2	5	3	3	NUM
fcis-22624	2	6	,	,	PUNCT
fcis-22624	2	7	2024	2024	NUM
fcis-22624	2	8	59	59	NUM
fcis-22624	2	9	study	study	NOUN
fcis-22624	2	10	on	on	ADP
fcis-22624	2	11	the	the	DET
fcis-22624	2	12	development	development	NOUN
fcis-22624	2	13	of	of	ADP
fcis-22624	2	14	property	property	NOUN
fcis-22624	2	15	insurance	insurance	NOUN
fcis-22624	2	16	industry	industry	NOUN
fcis-22624	2	17	based	base	VERB
fcis-22624	2	18	on	on	ADP
fcis-22624	2	19	arima	arima	PROPN
fcis-22624	2	20	and	and	CCONJ
fcis-22624	2	21	cgdam‐wrir	cgdam‐wrir	NOUN
fcis-22624	2	22	models	model	VERB
fcis-22624	2	23	yibo	yibo	PROPN
fcis-22624	3	1	huang	huang	PROPN
fcis-22624	3	2	1	1	NUM
fcis-22624	3	3	,	,	PUNCT
fcis-22624	3	4	*	*	PUNCT
fcis-22624	3	5	,	,	PUNCT
fcis-22624	3	6	guoli	guoli	NOUN
fcis-22624	3	7	sun	sun	PROPN
fcis-22624	3	8	1	1	NUM
fcis-22624	3	9	,	,	PUNCT
fcis-22624	3	10	xiaoyin	xiaoyin	PROPN
fcis-22624	3	11	huang	huang	PROPN
fcis-22624	3	12	2	2	NUM
fcis-22624	3	13	,	,	PUNCT
fcis-22624	3	14	cen	cen	PROPN
fcis-22624	3	15	lin	lin	PROPN
fcis-22624	3	16	1	1	NUM
fcis-22624	3	17	,	,	PUNCT
fcis-22624	3	18	hang	hang	VERB
fcis-22624	3	19	li	li	NOUN
fcis-22624	3	20	1	1	NUM
fcis-22624	3	21	1	1	NUM
fcis-22624	3	22	the	the	DET
fcis-22624	3	23	department	department	PROPN
fcis-22624	3	24	of	of	ADP
fcis-22624	3	25	business	business	PROPN
fcis-22624	3	26	administration	administration	PROPN
fcis-22624	3	27	,	,	PUNCT
fcis-22624	3	28	tianjin	tianjin	PROPN
fcis-22624	3	29	university	university	PROPN
fcis-22624	3	30	of	of	ADP
fcis-22624	3	31	commerce	commerce	PROPN
fcis-22624	3	32	boustead	boustead	PROPN
fcis-22624	3	33	college	college	PROPN
fcis-22624	3	34	,	,	PUNCT
fcis-22624	3	35	tianjin	tianjin	PROPN
fcis-22624	3	36	,	,	PUNCT
fcis-22624	3	37	china	china	PROPN
fcis-22624	3	38	2	2	NUM
fcis-22624	3	39	department	department	NOUN
fcis-22624	3	40	of	of	ADP
fcis-22624	3	41	economics	economic	NOUN
fcis-22624	3	42	and	and	CCONJ
fcis-22624	3	43	trade	trade	NOUN
fcis-22624	3	44	,	,	PUNCT
fcis-22624	3	45	tianjin	tianjin	PROPN
fcis-22624	3	46	university	university	PROPN
fcis-22624	3	47	of	of	ADP
fcis-22624	3	48	commerce	commerce	PROPN
fcis-22624	3	49	boustead	boustead	PROPN
fcis-22624	3	50	college	college	PROPN
fcis-22624	3	51	,	,	PUNCT
fcis-22624	3	52	tianjin	tianjin	PROPN
fcis-22624	3	53	,	,	PUNCT
fcis-22624	3	54	china	china	PROPN
fcis-22624	3	55	*	*	PUNCT
fcis-22624	3	56	corresponding	correspond	VERB
fcis-22624	3	57	author	author	NOUN
fcis-22624	3	58	:	:	PUNCT
fcis-22624	3	59	yibo	yibo	PROPN
fcis-22624	3	60	huang	huang	PROPN
fcis-22624	3	61	(	(	PUNCT
fcis-22624	3	62	email	email	NOUN
fcis-22624	3	63	:	:	PUNCT
fcis-22624	3	64	3065687330@qq.com	3065687330@qq.com	NUM
fcis-22624	3	65	)	)	PUNCT
fcis-22624	3	66	abstract	abstract	NOUN
fcis-22624	3	67	:	:	PUNCT
fcis-22624	3	68	this	this	DET
fcis-22624	3	69	study	study	NOUN
fcis-22624	3	70	aims	aim	VERB
fcis-22624	3	71	to	to	PART
fcis-22624	3	72	address	address	VERB
fcis-22624	3	73	the	the	DET
fcis-22624	3	74	climate	climate	NOUN
fcis-22624	3	75	change	change	NOUN
fcis-22624	3	76	challenges	challenge	NOUN
fcis-22624	3	77	faced	face	VERB
fcis-22624	3	78	by	by	ADP
fcis-22624	3	79	the	the	DET
fcis-22624	3	80	property	property	NOUN
fcis-22624	3	81	-	-	PUNCT
fcis-22624	3	82	casualty	casualty	NOUN
fcis-22624	3	83	insurance	insurance	NOUN
fcis-22624	3	84	industry	industry	NOUN
fcis-22624	3	85	by	by	ADP
fcis-22624	3	86	using	use	VERB
fcis-22624	3	87	the	the	DET
fcis-22624	3	88	arima	arima	PROPN
fcis-22624	3	89	model	model	NOUN
fcis-22624	3	90	to	to	PART
fcis-22624	3	91	assess	assess	VERB
fcis-22624	3	92	the	the	DET
fcis-22624	3	93	potential	potential	ADJ
fcis-22624	3	94	impacts	impact	NOUN
fcis-22624	3	95	of	of	ADP
fcis-22624	3	96	extreme	extreme	ADJ
fcis-22624	3	97	weather	weather	NOUN
fcis-22624	3	98	events	event	NOUN
fcis-22624	3	99	on	on	ADP
fcis-22624	3	100	the	the	DET
fcis-22624	3	101	insurance	insurance	NOUN
fcis-22624	3	102	industry	industry	NOUN
fcis-22624	3	103	and	and	CCONJ
fcis-22624	3	104	the	the	DET
fcis-22624	3	105	cgdam	cgdam	NOUN
fcis-22624	3	106	-	-	PUNCT
fcis-22624	3	107	wrir	wrir	NOUN
fcis-22624	3	108	model	model	NOUN
fcis-22624	3	109	to	to	PART
fcis-22624	3	110	analyze	analyze	VERB
fcis-22624	3	111	the	the	DET
fcis-22624	3	112	regional	regional	ADJ
fcis-22624	3	113	impacts	impact	NOUN
fcis-22624	3	114	of	of	ADP
fcis-22624	3	115	tornadoes	tornado	NOUN
fcis-22624	3	116	and	and	CCONJ
fcis-22624	3	117	the	the	DET
fcis-22624	3	118	impacts	impact	NOUN
fcis-22624	3	119	of	of	ADP
fcis-22624	3	120	climate	climate	NOUN
fcis-22624	3	121	change	change	NOUN
fcis-22624	3	122	on	on	ADP
fcis-22624	3	123	communities	community	NOUN
fcis-22624	3	124	.	.	PUNCT
fcis-22624	4	1	with	with	ADP
fcis-22624	4	2	these	these	DET
fcis-22624	4	3	models	model	NOUN
fcis-22624	4	4	,	,	PUNCT
fcis-22624	4	5	we	we	PRON
fcis-22624	4	6	provide	provide	VERB
fcis-22624	4	7	accurate	accurate	ADJ
fcis-22624	4	8	risk	risk	NOUN
fcis-22624	4	9	management	management	NOUN
fcis-22624	4	10	and	and	CCONJ
fcis-22624	4	11	underwriting	underwriting	NOUN
fcis-22624	4	12	strategy	strategy	NOUN
fcis-22624	4	13	adjustment	adjustment	NOUN
fcis-22624	4	14	recommendations	recommendation	NOUN
fcis-22624	4	15	.	.	PUNCT
fcis-22624	5	1	future	future	ADJ
fcis-22624	5	2	research	research	NOUN
fcis-22624	5	3	will	will	AUX
fcis-22624	5	4	further	far	ADV
fcis-22624	5	5	explore	explore	VERB
fcis-22624	5	6	complex	complex	ADJ
fcis-22624	5	7	models	model	NOUN
fcis-22624	5	8	,	,	PUNCT
fcis-22624	5	9	overcome	overcome	VERB
fcis-22624	5	10	limitations	limitation	NOUN
fcis-22624	5	11	,	,	PUNCT
fcis-22624	5	12	integrate	integrate	VERB
fcis-22624	5	13	multi	multi	ADJ
fcis-22624	5	14	-	-	ADJ
fcis-22624	5	15	source	source	NOUN
fcis-22624	5	16	data	datum	NOUN
fcis-22624	5	17	,	,	PUNCT
fcis-22624	5	18	and	and	CCONJ
fcis-22624	5	19	develop	develop	VERB
fcis-22624	5	20	real	real	ADJ
fcis-22624	5	21	-	-	PUNCT
fcis-22624	5	22	time	time	NOUN
fcis-22624	5	23	predictive	predictive	ADJ
fcis-22624	5	24	models	model	NOUN
fcis-22624	5	25	to	to	PART
fcis-22624	5	26	help	help	VERB
fcis-22624	5	27	the	the	DET
fcis-22624	5	28	insurance	insurance	NOUN
fcis-22624	5	29	industry	industry	NOUN
fcis-22624	5	30	better	well	ADV
fcis-22624	5	31	manage	manage	VERB
fcis-22624	5	32	climate	climate	NOUN
fcis-22624	5	33	change	change	NOUN
fcis-22624	5	34	uncertainty	uncertainty	NOUN
fcis-22624	5	35	,	,	PUNCT
fcis-22624	5	36	safeguard	safeguard	VERB
fcis-22624	5	37	property	property	NOUN
fcis-22624	5	38	owner	owner	NOUN
fcis-22624	5	39	interests	interest	NOUN
fcis-22624	5	40	,	,	PUNCT
fcis-22624	5	41	and	and	CCONJ
fcis-22624	5	42	ensure	ensure	VERB
fcis-22624	5	43	market	market	NOUN
fcis-22624	5	44	sustainability	sustainability	NOUN
fcis-22624	5	45	and	and	CCONJ
fcis-22624	5	46	resilience	resilience	NOUN
fcis-22624	5	47	.	.	PUNCT
fcis-22624	6	1	keywords	keyword	NOUN
fcis-22624	6	2	:	:	PUNCT
fcis-22624	6	3	arima	arima	PROPN
fcis-22624	6	4	model	model	NOUN
fcis-22624	6	5	;	;	PUNCT
fcis-22624	6	6	cgdam	cgdam	NOUN
fcis-22624	6	7	-	-	PUNCT
fcis-22624	6	8	wrir	wrir	NOUN
fcis-22624	6	9	model	model	NOUN
fcis-22624	6	10	;	;	PUNCT
fcis-22624	6	11	risk	risk	NOUN
fcis-22624	6	12	assessment	assessment	NOUN
fcis-22624	6	13	.	.	PUNCT
fcis-22624	7	1	1	1	X
fcis-22624	7	2	.	.	X
fcis-22624	7	3	introduction	introduction	NOUN
fcis-22624	7	4	the	the	DET
fcis-22624	7	5	property	property	NOUN
fcis-22624	7	6	and	and	CCONJ
fcis-22624	7	7	casualty	casualty	NOUN
fcis-22624	7	8	insurance	insurance	NOUN
fcis-22624	7	9	industry	industry	NOUN
fcis-22624	7	10	are	be	AUX
fcis-22624	7	11	facing	face	VERB
fcis-22624	7	12	unprecedented	unprecedented	ADJ
fcis-22624	7	13	challenges	challenge	NOUN
fcis-22624	7	14	as	as	ADP
fcis-22624	7	15	the	the	DET
fcis-22624	7	16	frequency	frequency	NOUN
fcis-22624	7	17	and	and	CCONJ
fcis-22624	7	18	intensity	intensity	NOUN
fcis-22624	7	19	of	of	ADP
fcis-22624	7	20	extreme	extreme	ADJ
fcis-22624	7	21	weather	weather	NOUN
fcis-22624	7	22	events	event	NOUN
fcis-22624	7	23	triggered	trigger	VERB
fcis-22624	7	24	by	by	ADP
fcis-22624	7	25	climate	climate	NOUN
fcis-22624	7	26	change	change	NOUN
fcis-22624	7	27	increases	increase	NOUN
fcis-22624	7	28	[	[	X
fcis-22624	7	29	1	1	NUM
fcis-22624	7	30	]	]	PUNCT
fcis-22624	7	31	.	.	PUNCT
fcis-22624	8	1	this	this	DET
fcis-22624	8	2	study	study	NOUN
fcis-22624	8	3	aims	aim	VERB
fcis-22624	8	4	to	to	PART
fcis-22624	8	5	provide	provide	VERB
fcis-22624	8	6	insight	insight	NOUN
fcis-22624	8	7	into	into	ADP
fcis-22624	8	8	the	the	DET
fcis-22624	8	9	potential	potential	ADJ
fcis-22624	8	10	impacts	impact	NOUN
fcis-22624	8	11	of	of	ADP
fcis-22624	8	12	extreme	extreme	ADJ
fcis-22624	8	13	weather	weather	NOUN
fcis-22624	8	14	events	event	NOUN
fcis-22624	8	15	on	on	ADP
fcis-22624	8	16	the	the	DET
fcis-22624	8	17	insurance	insurance	NOUN
fcis-22624	8	18	industry	industry	NOUN
fcis-22624	8	19	and	and	CCONJ
fcis-22624	8	20	the	the	DET
fcis-22624	8	21	impacts	impact	NOUN
fcis-22624	8	22	of	of	ADP
fcis-22624	8	23	climate	climate	NOUN
fcis-22624	8	24	change	change	NOUN
fcis-22624	8	25	on	on	ADP
fcis-22624	8	26	communities	community	NOUN
fcis-22624	8	27	and	and	CCONJ
fcis-22624	8	28	regions	region	NOUN
fcis-22624	8	29	by	by	ADP
fcis-22624	8	30	employing	employ	VERB
fcis-22624	8	31	the	the	DET
fcis-22624	8	32	arima	arima	PROPN
fcis-22624	8	33	model	model	NOUN
fcis-22624	8	34	and	and	CCONJ
fcis-22624	8	35	the	the	DET
fcis-22624	8	36	cgdamwrir	cgdamwrir	NOUN
fcis-22624	8	37	model	model	NOUN
fcis-22624	8	38	.	.	PUNCT
fcis-22624	9	1	the	the	DET
fcis-22624	9	2	arima	arima	PROPN
fcis-22624	9	3	model	model	NOUN
fcis-22624	9	4	will	will	AUX
fcis-22624	9	5	be	be	AUX
fcis-22624	9	6	used	use	VERB
fcis-22624	9	7	to	to	PART
fcis-22624	9	8	assess	assess	VERB
fcis-22624	9	9	the	the	DET
fcis-22624	9	10	future	future	ADJ
fcis-22624	9	11	losses	loss	NOUN
fcis-22624	9	12	of	of	ADP
fcis-22624	9	13	the	the	DET
fcis-22624	9	14	insurance	insurance	NOUN
fcis-22624	9	15	industry	industry	NOUN
fcis-22624	9	16	due	due	ADP
fcis-22624	9	17	to	to	ADP
fcis-22624	9	18	extreme	extreme	ADJ
fcis-22624	9	19	weather	weather	NOUN
fcis-22624	9	20	events	event	NOUN
fcis-22624	9	21	,	,	PUNCT
fcis-22624	9	22	to	to	PART
fcis-22624	9	23	predict	predict	VERB
fcis-22624	9	24	the	the	DET
fcis-22624	9	25	mortality	mortality	NOUN
fcis-22624	9	26	rate	rate	NOUN
fcis-22624	9	27	,	,	PUNCT
fcis-22624	9	28	and	and	CCONJ
fcis-22624	9	29	to	to	PART
fcis-22624	9	30	analyze	analyze	VERB
fcis-22624	9	31	the	the	DET
fcis-22624	9	32	impacts	impact	NOUN
fcis-22624	9	33	of	of	ADP
fcis-22624	9	34	tornadoes	tornado	NOUN
fcis-22624	9	35	of	of	ADP
fcis-22624	9	36	varying	vary	VERB
fcis-22624	9	37	intensities	intensity	NOUN
fcis-22624	9	38	on	on	ADP
fcis-22624	9	39	regions	region	NOUN
fcis-22624	9	40	.	.	PUNCT
fcis-22624	10	1	and	and	CCONJ
fcis-22624	10	2	the	the	DET
fcis-22624	10	3	cgdam	cgdam	NOUN
fcis-22624	10	4	-	-	PUNCT
fcis-22624	10	5	wrir	wrir	NOUN
fcis-22624	10	6	model	model	NOUN
fcis-22624	10	7	will	will	AUX
fcis-22624	10	8	be	be	AUX
fcis-22624	10	9	used	use	VERB
fcis-22624	10	10	to	to	PART
fcis-22624	10	11	study	study	VERB
fcis-22624	10	12	the	the	DET
fcis-22624	10	13	impacts	impact	NOUN
fcis-22624	10	14	of	of	ADP
fcis-22624	10	15	climate	climate	NOUN
fcis-22624	10	16	change	change	NOUN
fcis-22624	10	17	on	on	ADP
fcis-22624	10	18	communities	community	NOUN
fcis-22624	10	19	and	and	CCONJ
fcis-22624	10	20	the	the	DET
fcis-22624	10	21	regional	regional	ADJ
fcis-22624	10	22	impacts	impact	NOUN
fcis-22624	10	23	of	of	ADP
fcis-22624	10	24	tornadoes	tornado	NOUN
fcis-22624	10	25	.	.	PUNCT
fcis-22624	11	1	using	use	VERB
fcis-22624	11	2	these	these	DET
fcis-22624	11	3	models	model	NOUN
fcis-22624	11	4	,	,	PUNCT
fcis-22624	11	5	we	we	PRON
fcis-22624	11	6	aim	aim	VERB
fcis-22624	11	7	to	to	PART
fcis-22624	11	8	provide	provide	VERB
fcis-22624	11	9	the	the	DET
fcis-22624	11	10	property	property	NOUN
fcis-22624	11	11	insurance	insurance	NOUN
fcis-22624	11	12	industry	industry	NOUN
fcis-22624	11	13	with	with	ADP
fcis-22624	11	14	more	more	ADV
fcis-22624	11	15	accurate	accurate	ADJ
fcis-22624	11	16	risk	risk	NOUN
fcis-22624	11	17	management	management	NOUN
fcis-22624	11	18	recommendations	recommendation	NOUN
fcis-22624	11	19	to	to	PART
fcis-22624	11	20	help	help	VERB
fcis-22624	11	21	the	the	DET
fcis-22624	11	22	industry	industry	NOUN
fcis-22624	11	23	meet	meet	VERB
fcis-22624	11	24	the	the	DET
fcis-22624	11	25	challenges	challenge	NOUN
fcis-22624	11	26	posed	pose	VERB
fcis-22624	11	27	by	by	ADP
fcis-22624	11	28	climate	climate	NOUN
fcis-22624	11	29	change	change	NOUN
fcis-22624	11	30	and	and	CCONJ
fcis-22624	11	31	ensure	ensure	VERB
fcis-22624	11	32	the	the	DET
fcis-22624	11	33	sustainability	sustainability	NOUN
fcis-22624	11	34	and	and	CCONJ
fcis-22624	11	35	resilience	resilience	NOUN
fcis-22624	11	36	of	of	ADP
fcis-22624	11	37	the	the	DET
fcis-22624	11	38	market	market	NOUN
fcis-22624	11	39	.	.	PUNCT
fcis-22624	12	1	the	the	DET
fcis-22624	12	2	combined	combine	VERB
fcis-22624	12	3	use	use	NOUN
fcis-22624	12	4	of	of	ADP
fcis-22624	12	5	these	these	DET
fcis-22624	12	6	methods	method	NOUN
fcis-22624	12	7	will	will	AUX
fcis-22624	12	8	provide	provide	VERB
fcis-22624	12	9	the	the	DET
fcis-22624	12	10	insurance	insurance	NOUN
fcis-22624	12	11	industry	industry	NOUN
fcis-22624	12	12	with	with	ADP
fcis-22624	12	13	more	more	ADV
fcis-22624	12	14	comprehensive	comprehensive	ADJ
fcis-22624	12	15	insights	insight	NOUN
fcis-22624	12	16	and	and	CCONJ
fcis-22624	12	17	decision	decision	NOUN
fcis-22624	12	18	support	support	NOUN
fcis-22624	12	19	to	to	PART
fcis-22624	12	20	address	address	VERB
fcis-22624	12	21	the	the	DET
fcis-22624	12	22	increasingly	increasingly	ADV
fcis-22624	12	23	complex	complex	ADJ
fcis-22624	12	24	challenges	challenge	NOUN
fcis-22624	12	25	of	of	ADP
fcis-22624	12	26	climate	climate	NOUN
fcis-22624	12	27	change	change	NOUN
fcis-22624	12	28	.	.	PUNCT
fcis-22624	13	1	2	2	X
fcis-22624	13	2	.	.	X
fcis-22624	13	3	arima	arima	PROPN
fcis-22624	13	4	model	model	NOUN
fcis-22624	13	5	2.1	2.1	NUM
fcis-22624	13	6	.	.	PUNCT
fcis-22624	14	1	assessing	assess	VERB
fcis-22624	14	2	the	the	DET
fcis-22624	14	3	potential	potential	ADJ
fcis-22624	14	4	losses	loss	NOUN
fcis-22624	14	5	of	of	ADP
fcis-22624	14	6	the	the	DET
fcis-22624	14	7	insurance	insurance	NOUN
fcis-22624	14	8	industry	industry	NOUN
fcis-22624	14	9	caused	cause	VERB
fcis-22624	14	10	by	by	ADP
fcis-22624	14	11	future	future	ADJ
fcis-22624	14	12	extreme	extreme	ADJ
fcis-22624	14	13	weather	weather	NOUN
fcis-22624	14	14	events	event	NOUN
fcis-22624	14	15	as	as	SCONJ
fcis-22624	14	16	global	global	ADJ
fcis-22624	14	17	climate	climate	NOUN
fcis-22624	14	18	change	change	NOUN
fcis-22624	14	19	continues	continue	VERB
fcis-22624	14	20	to	to	PART
fcis-22624	14	21	intensify	intensify	VERB
fcis-22624	14	22	,	,	PUNCT
fcis-22624	14	23	the	the	DET
fcis-22624	14	24	p&c	p&c	PROPN
fcis-22624	14	25	insurance	insurance	NOUN
fcis-22624	14	26	industry	industry	NOUN
fcis-22624	14	27	is	be	AUX
fcis-22624	14	28	facing	face	VERB
fcis-22624	14	29	unprecedented	unprecedented	ADJ
fcis-22624	14	30	challenges	challenge	NOUN
fcis-22624	14	31	.	.	PUNCT
fcis-22624	15	1	the	the	DET
fcis-22624	15	2	increased	increase	VERB
fcis-22624	15	3	frequency	frequency	NOUN
fcis-22624	15	4	and	and	CCONJ
fcis-22624	15	5	intensity	intensity	NOUN
fcis-22624	15	6	of	of	ADP
fcis-22624	15	7	extreme	extreme	ADJ
fcis-22624	15	8	weather	weather	NOUN
fcis-22624	15	9	events	event	NOUN
fcis-22624	15	10	such	such	ADJ
fcis-22624	15	11	as	as	ADP
fcis-22624	15	12	floods	flood	NOUN
fcis-22624	15	13	,	,	PUNCT
fcis-22624	15	14	hurricanes	hurricane	NOUN
fcis-22624	15	15	,	,	PUNCT
fcis-22624	15	16	and	and	CCONJ
fcis-22624	15	17	droughts	drought	NOUN
fcis-22624	15	18	have	have	AUX
fcis-22624	15	19	led	lead	VERB
fcis-22624	15	20	to	to	ADP
fcis-22624	15	21	significant	significant	ADJ
fcis-22624	15	22	property	property	NOUN
fcis-22624	15	23	damage	damage	NOUN
fcis-22624	15	24	that	that	PRON
fcis-22624	15	25	has	have	VERB
fcis-22624	15	26	a	a	DET
fcis-22624	15	27	direct	direct	ADJ
fcis-22624	15	28	impact	impact	NOUN
fcis-22624	15	29	on	on	ADP
fcis-22624	15	30	insurers	insurer	NOUN
fcis-22624	15	31	'	'	PART
fcis-22624	15	32	ability	ability	NOUN
fcis-22624	15	33	to	to	PART
fcis-22624	15	34	pay	pay	VERB
fcis-22624	15	35	and	and	CCONJ
fcis-22624	15	36	risk	risk	NOUN
fcis-22624	15	37	management	management	NOUN
fcis-22624	15	38	strategies	strategy	NOUN
fcis-22624	15	39	[	[	X
fcis-22624	15	40	2	2	NUM
fcis-22624	15	41	]	]	PUNCT
fcis-22624	15	42	.	.	PUNCT
fcis-22624	16	1	in	in	ADP
fcis-22624	16	2	order	order	NOUN
fcis-22624	16	3	to	to	PART
fcis-22624	16	4	ensure	ensure	VERB
fcis-22624	16	5	the	the	DET
fcis-22624	16	6	sustainability	sustainability	NOUN
fcis-22624	16	7	of	of	ADP
fcis-22624	16	8	the	the	DET
fcis-22624	16	9	p&c	p&c	PROPN
fcis-22624	16	10	insurance	insurance	NOUN
fcis-22624	16	11	industry	industry	NOUN
fcis-22624	16	12	,	,	PUNCT
fcis-22624	16	13	there	there	PRON
fcis-22624	16	14	is	be	VERB
fcis-22624	16	15	an	an	DET
fcis-22624	16	16	urgent	urgent	ADJ
fcis-22624	16	17	need	need	NOUN
fcis-22624	16	18	for	for	SCONJ
fcis-22624	16	19	insurers	insurer	NOUN
fcis-22624	16	20	to	to	PART
fcis-22624	16	21	develop	develop	VERB
fcis-22624	16	22	models	model	NOUN
fcis-22624	16	23	that	that	PRON
fcis-22624	16	24	predict	predict	VERB
fcis-22624	16	25	potential	potential	ADJ
fcis-22624	16	26	future	future	ADJ
fcis-22624	16	27	losses	loss	NOUN
fcis-22624	16	28	.	.	PUNCT
fcis-22624	17	1	this	this	DET
fcis-22624	17	2	model	model	NOUN
fcis-22624	17	3	will	will	AUX
fcis-22624	17	4	help	help	VERB
fcis-22624	17	5	insurers	insurer	NOUN
fcis-22624	17	6	price	price	NOUN
fcis-22624	17	7	insurance	insurance	NOUN
fcis-22624	17	8	products	product	NOUN
fcis-22624	17	9	more	more	ADV
fcis-22624	17	10	accurately	accurately	ADV
fcis-22624	17	11	,	,	PUNCT
fcis-22624	17	12	flexibly	flexibly	ADV
fcis-22624	17	13	adjust	adjust	VERB
fcis-22624	17	14	underwriting	underwriting	NOUN
fcis-22624	17	15	policies	policy	NOUN
fcis-22624	17	16	,	,	PUNCT
fcis-22624	17	17	and	and	CCONJ
fcis-22624	17	18	develop	develop	VERB
fcis-22624	17	19	effective	effective	ADJ
fcis-22624	17	20	capital	capital	NOUN
fcis-22624	17	21	reserves	reserve	NOUN
fcis-22624	17	22	and	and	CCONJ
fcis-22624	17	23	risk	risk	NOUN
fcis-22624	17	24	diversification	diversification	NOUN
fcis-22624	17	25	measures	measure	NOUN
fcis-22624	17	26	to	to	PART
fcis-22624	17	27	respond	respond	VERB
fcis-22624	17	28	to	to	ADP
fcis-22624	17	29	changing	change	VERB
fcis-22624	17	30	natural	natural	ADJ
fcis-22624	17	31	disaster	disaster	NOUN
fcis-22624	17	32	risks	risk	NOUN
fcis-22624	17	33	.	.	PUNCT
fcis-22624	18	1	the	the	DET
fcis-22624	18	2	total	total	ADJ
fcis-22624	18	3	casualty	casualty	NOUN
fcis-22624	18	4	statistics	statistic	NOUN
fcis-22624	18	5	for	for	ADP
fcis-22624	18	6	different	different	ADJ
fcis-22624	18	7	disaster	disaster	NOUN
fcis-22624	18	8	events	event	NOUN
fcis-22624	18	9	is	be	AUX
fcis-22624	18	10	shown	show	VERB
fcis-22624	18	11	in	in	ADP
fcis-22624	18	12	figure	figure	NOUN
fcis-22624	18	13	1	1	NUM
fcis-22624	18	14	.	.	PUNCT
fcis-22624	18	15	figure	figure	NOUN
fcis-22624	18	16	1	1	NUM
fcis-22624	18	17	.	.	PUNCT
fcis-22624	18	18	total	total	ADJ
fcis-22624	18	19	casualty	casualty	NOUN
fcis-22624	18	20	statistics	statistic	NOUN
fcis-22624	18	21	for	for	ADP
fcis-22624	18	22	different	different	ADJ
fcis-22624	18	23	disaster	disaster	NOUN
fcis-22624	18	24	events	event	NOUN
fcis-22624	18	25	(	(	PUNCT
fcis-22624	18	26	usa	usa	NOUN
fcis-22624	18	27	)	)	PUNCT
fcis-22624	18	28	0	0	NUM
fcis-22624	19	1	1000	1000	NUM
fcis-22624	19	2	2000	2000	NUM
fcis-22624	19	3	3000	3000	NUM
fcis-22624	19	4	4000	4000	NUM
fcis-22624	19	5	5000	5000	NUM
fcis-22624	19	6	6000	6000	NUM
fcis-22624	19	7	7000	7000	NUM
fcis-22624	19	8	drought	drought	NOUN
fcis-22624	19	9	flooding	flooding	NOUN
fcis-22624	19	10	freeze	freeze	VERB
fcis-22624	19	11	severe	severe	ADJ
fcis-22624	19	12	storm	storm	NOUN
fcis-22624	19	13	tropical	tropical	ADJ
fcis-22624	19	14	cyclone	cyclone	NOUN
fcis-22624	19	15	wildfire	wildfire	NOUN
fcis-22624	19	16	winter	winter	NOUN
fcis-22624	19	17	storm	storm	NOUN
fcis-22624	19	18	total	total	ADJ
fcis-22624	19	19	deaths	death	NOUN
fcis-22624	19	20	60	60	NUM
fcis-22624	19	21	considering	consider	VERB
fcis-22624	19	22	the	the	DET
fcis-22624	19	23	uniqueness	uniqueness	NOUN
fcis-22624	19	24	of	of	ADP
fcis-22624	19	25	the	the	DET
fcis-22624	19	26	time	time	NOUN
fcis-22624	19	27	series	series	PROPN
fcis-22624	19	28	data	data	PROPN
fcis-22624	19	29	,	,	PUNCT
fcis-22624	19	30	we	we	PRON
fcis-22624	19	31	chose	choose	VERB
fcis-22624	19	32	the	the	DET
fcis-22624	19	33	arima	arima	PROPN
fcis-22624	19	34	model	model	NOUN
fcis-22624	19	35	for	for	ADP
fcis-22624	19	36	analysis	analysis	NOUN
fcis-22624	19	37	.	.	PUNCT
fcis-22624	20	1	this	this	DET
fcis-22624	20	2	model	model	NOUN
fcis-22624	20	3	is	be	AUX
fcis-22624	20	4	a	a	DET
fcis-22624	20	5	widely	widely	ADV
fcis-22624	20	6	used	use	VERB
fcis-22624	20	7	method	method	NOUN
fcis-22624	20	8	for	for	ADP
fcis-22624	20	9	time	time	NOUN
fcis-22624	20	10	series	series	PROPN
fcis-22624	20	11	forecasting	forecasting	PROPN
fcis-22624	20	12	,	,	PUNCT
fcis-22624	20	13	especially	especially	ADV
fcis-22624	20	14	for	for	ADP
fcis-22624	20	15	nonseasonal	nonseasonal	ADJ
fcis-22624	20	16	data	datum	NOUN
fcis-22624	20	17	that	that	PRON
fcis-22624	20	18	exhibit	exhibit	VERB
fcis-22624	20	19	clear	clear	ADJ
fcis-22624	20	20	trends	trend	NOUN
fcis-22624	20	21	or	or	CCONJ
fcis-22624	20	22	patterns	pattern	NOUN
fcis-22624	20	23	[	[	X
fcis-22624	20	24	3	3	NUM
fcis-22624	20	25	]	]	PUNCT
fcis-22624	20	26	.	.	PUNCT
fcis-22624	21	1	the	the	DET
fcis-22624	21	2	model	model	NOUN
fcis-22624	21	3	predicts	predict	VERB
fcis-22624	21	4	future	future	ADJ
fcis-22624	21	5	values	value	NOUN
fcis-22624	21	6	by	by	ADP
fcis-22624	21	7	combining	combine	VERB
fcis-22624	21	8	historical	historical	ADJ
fcis-22624	21	9	and	and	CCONJ
fcis-22624	21	10	error	error	NOUN
fcis-22624	21	11	values	value	NOUN
fcis-22624	21	12	of	of	ADP
fcis-22624	21	13	time	time	NOUN
fcis-22624	21	14	series	series	PROPN
fcis-22624	21	15	data	data	PROPN
fcis-22624	21	16	.	.	PUNCT
fcis-22624	22	1	the	the	DET
fcis-22624	22	2	purpose	purpose	NOUN
fcis-22624	22	3	of	of	ADP
fcis-22624	22	4	this	this	DET
fcis-22624	22	5	analysis	analysis	NOUN
fcis-22624	22	6	is	be	AUX
fcis-22624	22	7	to	to	PART
fcis-22624	22	8	assess	assess	VERB
fcis-22624	22	9	the	the	DET
fcis-22624	22	10	potential	potential	ADJ
fcis-22624	22	11	losses	loss	NOUN
fcis-22624	22	12	to	to	ADP
fcis-22624	22	13	the	the	DET
fcis-22624	22	14	insurance	insurance	NOUN
fcis-22624	22	15	industry	industry	NOUN
fcis-22624	22	16	caused	cause	VERB
fcis-22624	22	17	by	by	ADP
fcis-22624	22	18	possible	possible	ADJ
fcis-22624	22	19	future	future	ADJ
fcis-22624	22	20	extreme	extreme	ADJ
fcis-22624	22	21	weather	weather	NOUN
fcis-22624	22	22	events	event	NOUN
fcis-22624	22	23	,	,	PUNCT
fcis-22624	22	24	and	and	CCONJ
fcis-22624	22	25	the	the	DET
fcis-22624	22	26	arima	arima	PROPN
fcis-22624	22	27	model	model	NOUN
fcis-22624	22	28	can	can	AUX
fcis-22624	22	29	provide	provide	VERB
fcis-22624	22	30	us	we	PRON
fcis-22624	22	31	with	with	ADP
fcis-22624	22	32	more	more	ADV
fcis-22624	22	33	accurate	accurate	ADJ
fcis-22624	22	34	predictions	prediction	NOUN
fcis-22624	22	35	,	,	PUNCT
fcis-22624	22	36	which	which	PRON
fcis-22624	22	37	can	can	AUX
fcis-22624	22	38	help	help	VERB
fcis-22624	22	39	to	to	PART
fcis-22624	22	40	formulate	formulate	VERB
fcis-22624	22	41	more	more	ADV
fcis-22624	22	42	effective	effective	ADJ
fcis-22624	22	43	risk	risk	NOUN
fcis-22624	22	44	management	management	NOUN
fcis-22624	22	45	strategies	strategy	NOUN
fcis-22624	22	46	and	and	CCONJ
fcis-22624	22	47	capital	capital	NOUN
fcis-22624	22	48	reserve	reserve	NOUN
fcis-22624	22	49	decisions	decision	NOUN
fcis-22624	22	50	.	.	PUNCT
fcis-22624	23	1	the	the	DET
fcis-22624	23	2	arima	arima	PROPN
fcis-22624	23	3	model	model	NOUN
fcis-22624	23	4	(	(	PUNCT
fcis-22624	23	5	autoregressive	autoregressive	ADJ
fcis-22624	23	6	integral	integral	ADJ
fcis-22624	23	7	moving	move	VERB
fcis-22624	23	8	average	average	ADJ
fcis-22624	23	9	model	model	NOUN
fcis-22624	23	10	)	)	PUNCT
fcis-22624	23	11	is	be	AUX
fcis-22624	23	12	a	a	DET
fcis-22624	23	13	powerful	powerful	ADJ
fcis-22624	23	14	time	time	NOUN
fcis-22624	23	15	series	series	PROPN
fcis-22624	23	16	forecasting	forecasting	NOUN
fcis-22624	23	17	tool	tool	NOUN
fcis-22624	23	18	that	that	PRON
fcis-22624	23	19	captures	capture	VERB
fcis-22624	23	20	and	and	CCONJ
fcis-22624	23	21	leverages	leverage	VERB
fcis-22624	23	22	autocorrelations	autocorrelation	NOUN
fcis-22624	23	23	in	in	ADP
fcis-22624	23	24	time	time	NOUN
fcis-22624	23	25	series	series	PROPN
fcis-22624	23	26	data	datum	NOUN
fcis-22624	23	27	to	to	PART
fcis-22624	23	28	predict	predict	VERB
fcis-22624	23	29	future	future	ADJ
fcis-22624	23	30	trends	trend	NOUN
fcis-22624	23	31	by	by	ADP
fcis-22624	23	32	integrating	integrate	VERB
fcis-22624	23	33	information	information	NOUN
fcis-22624	23	34	from	from	ADP
fcis-22624	23	35	historical	historical	ADJ
fcis-22624	23	36	data	datum	NOUN
fcis-22624	23	37	[	[	X
fcis-22624	23	38	4	4	NUM
fcis-22624	23	39	]	]	PUNCT
fcis-22624	23	40	.	.	PUNCT
fcis-22624	24	1	by	by	ADP
fcis-22624	24	2	building	build	VERB
fcis-22624	24	3	the	the	DET
fcis-22624	24	4	arima	arima	PROPN
fcis-22624	24	5	model	model	NOUN
fcis-22624	24	6	,	,	PUNCT
fcis-22624	24	7	we	we	PRON
fcis-22624	24	8	can	can	AUX
fcis-22624	24	9	make	make	VERB
fcis-22624	24	10	full	full	ADJ
fcis-22624	24	11	use	use	NOUN
fcis-22624	24	12	of	of	ADP
fcis-22624	24	13	the	the	DET
fcis-22624	24	14	intrinsic	intrinsic	ADJ
fcis-22624	24	15	regularity	regularity	NOUN
fcis-22624	24	16	of	of	ADP
fcis-22624	24	17	time	time	NOUN
fcis-22624	24	18	series	series	PROPN
fcis-22624	24	19	data	datum	NOUN
fcis-22624	24	20	to	to	PART
fcis-22624	24	21	make	make	VERB
fcis-22624	24	22	accurate	accurate	ADJ
fcis-22624	24	23	predictions	prediction	NOUN
fcis-22624	24	24	about	about	ADP
fcis-22624	24	25	future	future	ADJ
fcis-22624	24	26	data	datum	NOUN
fcis-22624	24	27	.	.	PUNCT
fcis-22624	25	1	it	it	PRON
fcis-22624	25	2	combines	combine	VERB
fcis-22624	25	3	the	the	DET
fcis-22624	25	4	advantages	advantage	NOUN
fcis-22624	25	5	of	of	ADP
fcis-22624	25	6	three	three	NUM
fcis-22624	25	7	main	main	ADJ
fcis-22624	25	8	components	component	NOUN
fcis-22624	25	9	:	:	PUNCT
fcis-22624	25	10	autoregressive	autoregressive	ADJ
fcis-22624	25	11	(	(	PUNCT
fcis-22624	25	12	ar	ar	NOUN
fcis-22624	25	13	)	)	PUNCT
fcis-22624	25	14	,	,	PUNCT
fcis-22624	25	15	differential	differential	NOUN
fcis-22624	25	16	(	(	PUNCT
fcis-22624	25	17	i	i	NOUN
fcis-22624	25	18	)	)	PUNCT
fcis-22624	25	19	,	,	PUNCT
fcis-22624	25	20	and	and	CCONJ
fcis-22624	25	21	moving	move	VERB
fcis-22624	25	22	average	average	ADJ
fcis-22624	25	23	(	(	PUNCT
fcis-22624	25	24	ma	ma	PROPN
fcis-22624	25	25	)	)	PUNCT
fcis-22624	25	26	to	to	PART
fcis-22624	25	27	describe	describe	VERB
fcis-22624	25	28	the	the	DET
fcis-22624	25	29	dynamic	dynamic	ADJ
fcis-22624	25	30	changes	change	NOUN
fcis-22624	25	31	in	in	ADP
fcis-22624	25	32	time	time	NOUN
fcis-22624	25	33	series	series	PROPN
fcis-22624	25	34	data	data	PROPN
fcis-22624	25	35	.	.	PUNCT
fcis-22624	26	1	autoregressive	autoregressive	ADJ
fcis-22624	26	2	(	(	PUNCT
fcis-22624	26	3	ar	ar	NOUN
fcis-22624	26	4	)	)	PUNCT
fcis-22624	26	5	section	section	NOUN
fcis-22624	26	6	:	:	PUNCT
fcis-22624	26	7	this	this	DET
fcis-22624	26	8	section	section	NOUN
fcis-22624	26	9	predicts	predict	VERB
fcis-22624	26	10	the	the	DET
fcis-22624	26	11	current	current	ADJ
fcis-22624	26	12	value	value	NOUN
fcis-22624	26	13	by	by	ADP
fcis-22624	26	14	using	use	VERB
fcis-22624	26	15	past	past	ADJ
fcis-22624	26	16	values	value	NOUN
fcis-22624	26	17	of	of	ADP
fcis-22624	26	18	time	time	NOUN
fcis-22624	26	19	series	series	PROPN
fcis-22624	26	20	data	data	PROPN
fcis-22624	26	21	.	.	PUNCT
fcis-22624	27	1	the	the	DET
fcis-22624	27	2	order	order	NOUN
fcis-22624	27	3	represents	represent	VERB
fcis-22624	27	4	the	the	DET
fcis-22624	27	5	number	number	NOUN
fcis-22624	27	6	of	of	ADP
fcis-22624	27	7	past	past	ADJ
fcis-22624	27	8	values	value	NOUN
fcis-22624	27	9	used	use	VERB
fcis-22624	27	10	for	for	ADP
fcis-22624	27	11	prediction	prediction	NOUN
fcis-22624	27	12	.	.	PUNCT
fcis-22624	28	1	by	by	ADP
fcis-22624	28	2	adjusting	adjust	VERB
fcis-22624	28	3	the	the	DET
fcis-22624	28	4	order	order	NOUN
fcis-22624	28	5	,	,	PUNCT
fcis-22624	28	6	the	the	DET
fcis-22624	28	7	arima	arima	PROPN
fcis-22624	28	8	model	model	NOUN
fcis-22624	28	9	can	can	AUX
fcis-22624	28	10	capture	capture	VERB
fcis-22624	28	11	different	different	ADJ
fcis-22624	28	12	autoregressive	autoregressive	ADJ
fcis-22624	28	13	relationships	relationship	NOUN
fcis-22624	28	14	in	in	ADP
fcis-22624	28	15	time	time	NOUN
fcis-22624	28	16	series	series	PROPN
fcis-22624	28	17	data	data	PROPN
fcis-22624	28	18	.	.	PUNCT
fcis-22624	29	1	differential	differential	PROPN
fcis-22624	29	2	(	(	PUNCT
fcis-22624	29	3	i	i	NOUN
fcis-22624	29	4	)	)	PUNCT
fcis-22624	29	5	part	part	NOUN
fcis-22624	29	6	:	:	PUNCT
fcis-22624	29	7	for	for	ADP
fcis-22624	29	8	non	non	ADJ
fcis-22624	29	9	-	-	ADJ
fcis-22624	29	10	stationary	stationary	ADJ
fcis-22624	29	11	time	time	NOUN
fcis-22624	29	12	series	series	PROPN
fcis-22624	29	13	data	data	PROPN
fcis-22624	29	14	,	,	PUNCT
fcis-22624	29	15	we	we	PRON
fcis-22624	29	16	can	can	AUX
fcis-22624	29	17	make	make	VERB
fcis-22624	29	18	it	it	PRON
fcis-22624	29	19	stationary	stationary	ADJ
fcis-22624	29	20	by	by	ADP
fcis-22624	29	21	differential	differential	ADJ
fcis-22624	29	22	operation	operation	NOUN
fcis-22624	29	23	.	.	PUNCT
fcis-22624	30	1	differential	differential	ADJ
fcis-22624	30	2	operations	operation	NOUN
fcis-22624	30	3	eliminate	eliminate	VERB
fcis-22624	30	4	trend	trend	NOUN
fcis-22624	30	5	or	or	CCONJ
fcis-22624	30	6	seasonal	seasonal	ADJ
fcis-22624	30	7	effects	effect	NOUN
fcis-22624	30	8	by	by	ADP
fcis-22624	30	9	subtracting	subtract	VERB
fcis-22624	30	10	the	the	DET
fcis-22624	30	11	time	time	NOUN
fcis-22624	30	12	series	series	NOUN
fcis-22624	30	13	from	from	ADP
fcis-22624	30	14	itself	itself	PRON
fcis-22624	30	15	.	.	PUNCT
fcis-22624	31	1	differential	differential	ADJ
fcis-22624	31	2	operations	operation	NOUN
fcis-22624	31	3	are	be	AUX
fcis-22624	31	4	usually	usually	ADV
fcis-22624	31	5	expressed	express	VERB
fcis-22624	31	6	as	as	ADP
fcis-22624	31	7	1	1	NUM
fcis-22624	31	8	,	,	PUNCT
fcis-22624	31	9	where	where	SCONJ
fcis-22624	31	10	is	be	AUX
fcis-22624	31	11	the	the	DET
fcis-22624	31	12	lag	lag	NOUN
fcis-22624	31	13	operator	operator	NOUN
fcis-22624	31	14	and	and	CCONJ
fcis-22624	31	15	order	order	NOUN
fcis-22624	31	16	is	be	AUX
fcis-22624	31	17	the	the	DET
fcis-22624	31	18	number	number	NOUN
fcis-22624	31	19	of	of	ADP
fcis-22624	31	20	differential	differential	NOUN
fcis-22624	31	21	times	time	NOUN
fcis-22624	31	22	to	to	PART
fcis-22624	31	23	ensure	ensure	VERB
fcis-22624	31	24	smooth	smooth	ADJ
fcis-22624	31	25	data	datum	NOUN
fcis-22624	31	26	.	.	PUNCT
fcis-22624	32	1	moving	move	VERB
fcis-22624	32	2	average	average	ADJ
fcis-22624	32	3	(	(	PUNCT
fcis-22624	32	4	ma	ma	PROPN
fcis-22624	32	5	)	)	PUNCT
fcis-22624	32	6	section	section	NOUN
fcis-22624	32	7	:	:	PUNCT
fcis-22624	32	8	this	this	DET
fcis-22624	32	9	part	part	NOUN
fcis-22624	32	10	involves	involve	VERB
fcis-22624	32	11	a	a	DET
fcis-22624	32	12	linear	linear	ADJ
fcis-22624	32	13	combination	combination	NOUN
fcis-22624	32	14	of	of	ADP
fcis-22624	32	15	prediction	prediction	NOUN
fcis-22624	32	16	error	error	NOUN
fcis-22624	32	17	terms	term	NOUN
fcis-22624	32	18	.	.	PUNCT
fcis-22624	33	1	order	order	NOUN
fcis-22624	33	2	represents	represent	VERB
fcis-22624	33	3	the	the	DET
fcis-22624	33	4	number	number	NOUN
fcis-22624	33	5	of	of	ADP
fcis-22624	33	6	past	past	ADJ
fcis-22624	33	7	prediction	prediction	NOUN
fcis-22624	33	8	errors	error	NOUN
fcis-22624	33	9	used	use	VERB
fcis-22624	33	10	to	to	PART
fcis-22624	33	11	predict	predict	VERB
fcis-22624	33	12	the	the	DET
fcis-22624	33	13	current	current	ADJ
fcis-22624	33	14	value	value	NOUN
fcis-22624	33	15	.	.	PUNCT
fcis-22624	34	1	by	by	ADP
fcis-22624	34	2	adjusting	adjust	VERB
fcis-22624	34	3	the	the	DET
fcis-22624	34	4	order	order	NOUN
fcis-22624	34	5	,	,	PUNCT
fcis-22624	34	6	the	the	DET
fcis-22624	34	7	arima	arima	PROPN
fcis-22624	34	8	model	model	NOUN
fcis-22624	34	9	can	can	AUX
fcis-22624	34	10	capture	capture	VERB
fcis-22624	34	11	the	the	DET
fcis-22624	34	12	short	short	ADJ
fcis-22624	34	13	-	-	PUNCT
fcis-22624	34	14	term	term	NOUN
fcis-22624	34	15	correlation	correlation	NOUN
fcis-22624	34	16	of	of	ADP
fcis-22624	34	17	time	time	NOUN
fcis-22624	34	18	series	series	PROPN
fcis-22624	34	19	data	data	PROPN
fcis-22624	34	20	.	.	PUNCT
fcis-22624	35	1	the	the	DET
fcis-22624	35	2	expression	expression	NOUN
fcis-22624	35	3	for	for	ADP
fcis-22624	35	4	the	the	DET
fcis-22624	35	5	basic	basic	ADJ
fcis-22624	35	6	equation	equation	NOUN
fcis-22624	35	7	of	of	ADP
fcis-22624	35	8	the	the	DET
fcis-22624	35	9	arima	arima	PROPN
fcis-22624	35	10	model	model	NOUN
fcis-22624	35	11	is	be	AUX
fcis-22624	35	12	:	:	PUNCT
fcis-22624	35	13	1	1	NUM
fcis-22624	35	14	∑	∑	PUNCT
fcis-22624	35	15	    	    	SPACE
fcis-22624	35	16	1	1	NUM
fcis-22624	35	17	1	1	NUM
fcis-22624	35	18	∑	∑	ADV
fcis-22624	35	19	    	    	SPACE
fcis-22624	35	20	(	(	PUNCT
fcis-22624	35	21	1	1	NUM
fcis-22624	35	22	)	)	PUNCT
fcis-22624	35	23	in	in	ADP
fcis-22624	35	24	the	the	DET
fcis-22624	35	25	arima	arima	PROPN
fcis-22624	35	26	model	model	NOUN
fcis-22624	35	27	,	,	PUNCT
fcis-22624	35	28	is	be	AUX
fcis-22624	35	29	the	the	DET
fcis-22624	35	30	lag	lag	NOUN
fcis-22624	35	31	operator	operator	NOUN
fcis-22624	35	32	,	,	PUNCT
fcis-22624	35	33	which	which	PRON
fcis-22624	35	34	represents	represent	VERB
fcis-22624	35	35	a	a	DET
fcis-22624	35	36	delay	delay	NOUN
fcis-22624	35	37	of	of	ADP
fcis-22624	35	38	one	one	NUM
fcis-22624	35	39	step	step	NOUN
fcis-22624	35	40	back	back	ADV
fcis-22624	35	41	in	in	ADP
fcis-22624	35	42	the	the	DET
fcis-22624	35	43	time	time	NOUN
fcis-22624	35	44	series	series	NOUN
fcis-22624	35	45	.	.	PUNCT
fcis-22624	36	1	when	when	SCONJ
fcis-22624	36	2	acts	act	VERB
fcis-22624	36	3	on	on	ADP
fcis-22624	36	4	,	,	PUNCT
fcis-22624	36	5	the	the	DET
fcis-22624	36	6	lag	lag	NOUN
fcis-22624	36	7	value	value	NOUN
fcis-22624	36	8	of	of	ADP
fcis-22624	36	9	can	can	AUX
fcis-22624	36	10	be	be	AUX
fcis-22624	36	11	obtained	obtain	VERB
fcis-22624	36	12	,	,	PUNCT
fcis-22624	36	13	which	which	PRON
fcis-22624	36	14	is	be	AUX
fcis-22624	36	15	the	the	DET
fcis-22624	36	16	value	value	NOUN
fcis-22624	36	17	of	of	ADP
fcis-22624	36	18	the	the	DET
fcis-22624	36	19	previous	previous	ADJ
fcis-22624	36	20	period	period	NOUN
fcis-22624	36	21	of	of	ADP
fcis-22624	36	22	.	.	PUNCT
fcis-22624	37	1	this	this	PRON
fcis-22624	37	2	can	can	AUX
fcis-22624	37	3	be	be	AUX
fcis-22624	37	4	expressed	express	VERB
fcis-22624	37	5	as	as	ADP
fcis-22624	37	6	.	.	PUNCT
fcis-22624	38	1	each	each	DET
fcis-22624	38	2	component	component	NOUN
fcis-22624	38	3	in	in	ADP
fcis-22624	38	4	the	the	DET
fcis-22624	38	5	model	model	NOUN
fcis-22624	38	6	has	have	VERB
fcis-22624	38	7	its	its	PRON
fcis-22624	38	8	specific	specific	ADJ
fcis-22624	38	9	function	function	NOUN
fcis-22624	38	10	:	:	PUNCT
fcis-22624	38	11	are	be	AUX
fcis-22624	38	12	the	the	DET
fcis-22624	38	13	autoregressive	autoregressive	ADJ
fcis-22624	38	14	coefficients	coefficient	NOUN
fcis-22624	38	15	,	,	PUNCT
fcis-22624	38	16	which	which	PRON
fcis-22624	38	17	are	be	AUX
fcis-22624	38	18	multiplied	multiply	VERB
fcis-22624	38	19	by	by	ADP
fcis-22624	38	20	historical	historical	ADJ
fcis-22624	38	21	values	value	NOUN
fcis-22624	38	22	of	of	ADP
fcis-22624	38	23	the	the	DET
fcis-22624	38	24	time	time	NOUN
fcis-22624	38	25	series	series	NOUN
fcis-22624	38	26	and	and	CCONJ
fcis-22624	38	27	used	use	VERB
fcis-22624	38	28	to	to	PART
fcis-22624	38	29	predict	predict	VERB
fcis-22624	38	30	the	the	DET
fcis-22624	38	31	current	current	ADJ
fcis-22624	38	32	value	value	NOUN
fcis-22624	38	33	.	.	PUNCT
fcis-22624	39	1	are	be	AUX
fcis-22624	39	2	the	the	DET
fcis-22624	39	3	moving	move	VERB
fcis-22624	39	4	average	average	ADJ
fcis-22624	39	5	coefficients	coefficient	NOUN
fcis-22624	39	6	,	,	PUNCT
fcis-22624	39	7	which	which	PRON
fcis-22624	39	8	are	be	AUX
fcis-22624	39	9	multiplied	multiply	VERB
fcis-22624	39	10	by	by	ADP
fcis-22624	39	11	prediction	prediction	NOUN
fcis-22624	39	12	error	error	NOUN
fcis-22624	39	13	terms	term	NOUN
fcis-22624	39	14	of	of	ADP
fcis-22624	39	15	the	the	DET
fcis-22624	39	16	model	model	NOUN
fcis-22624	39	17	and	and	CCONJ
fcis-22624	39	18	are	be	AUX
fcis-22624	39	19	used	use	VERB
fcis-22624	39	20	to	to	PART
fcis-22624	39	21	correct	correct	VERB
fcis-22624	39	22	the	the	DET
fcis-22624	39	23	prediction	prediction	NOUN
fcis-22624	39	24	error	error	NOUN
fcis-22624	39	25	.	.	PUNCT
fcis-22624	40	1	is	be	AUX
fcis-22624	40	2	the	the	DET
fcis-22624	40	3	number	number	NOUN
fcis-22624	40	4	of	of	ADP
fcis-22624	40	5	times	time	NOUN
fcis-22624	40	6	the	the	DET
fcis-22624	40	7	model	model	NOUN
fcis-22624	40	8	needs	need	VERB
fcis-22624	40	9	to	to	PART
fcis-22624	40	10	be	be	AUX
fcis-22624	40	11	differentiated	differentiate	VERB
fcis-22624	40	12	to	to	PART
fcis-22624	40	13	ensure	ensure	VERB
fcis-22624	40	14	the	the	DET
fcis-22624	40	15	stationarity	stationarity	NOUN
fcis-22624	40	16	of	of	ADP
fcis-22624	40	17	the	the	DET
fcis-22624	40	18	time	time	NOUN
fcis-22624	40	19	series	series	NOUN
fcis-22624	40	20	.	.	PUNCT
fcis-22624	41	1	through	through	ADP
fcis-22624	41	2	the	the	DET
fcis-22624	41	3	combination	combination	NOUN
fcis-22624	41	4	of	of	ADP
fcis-22624	41	5	these	these	DET
fcis-22624	41	6	components	component	NOUN
fcis-22624	41	7	,	,	PUNCT
fcis-22624	41	8	the	the	DET
fcis-22624	41	9	arima	arima	NOUN
fcis-22624	41	10	model	model	NOUN
fcis-22624	41	11	can	can	AUX
fcis-22624	41	12	effectively	effectively	ADV
fcis-22624	41	13	capture	capture	VERB
fcis-22624	41	14	and	and	CCONJ
fcis-22624	41	15	predict	predict	VERB
fcis-22624	41	16	the	the	DET
fcis-22624	41	17	dynamic	dynamic	ADJ
fcis-22624	41	18	changes	change	NOUN
fcis-22624	41	19	in	in	ADP
fcis-22624	41	20	time	time	NOUN
fcis-22624	41	21	series	series	PROPN
fcis-22624	41	22	data	data	PROPN
fcis-22624	41	23	.	.	PUNCT
fcis-22624	42	1	the	the	DET
fcis-22624	42	2	parameters	parameter	NOUN
fcis-22624	42	3	,	,	PUNCT
fcis-22624	42	4	,	,	PUNCT
fcis-22624	42	5	and	and	CCONJ
fcis-22624	42	6	of	of	ADP
fcis-22624	42	7	the	the	DET
fcis-22624	42	8	arima	arima	NOUN
fcis-22624	42	9	model	model	NOUN
fcis-22624	42	10	can	can	AUX
fcis-22624	42	11	usually	usually	ADV
fcis-22624	42	12	be	be	AUX
fcis-22624	42	13	analyzed	analyze	VERB
fcis-22624	42	14	in	in	ADP
fcis-22624	42	15	terms	term	NOUN
fcis-22624	42	16	of	of	ADP
fcis-22624	42	17	the	the	DET
fcis-22624	42	18	autocorrelation	autocorrelation	NOUN
fcis-22624	42	19	function	function	NOUN
fcis-22624	42	20	(	(	PUNCT
fcis-22624	42	21	acf	acf	PROPN
fcis-22624	42	22	)	)	PUNCT
fcis-22624	42	23	and	and	CCONJ
fcis-22624	42	24	partial	partial	ADJ
fcis-22624	42	25	autocorrelation	autocorrelation	NOUN
fcis-22624	42	26	function	function	NOUN
fcis-22624	42	27	(	(	PUNCT
fcis-22624	42	28	pacf	pacf	NOUN
fcis-22624	42	29	)	)	PUNCT
fcis-22624	42	30	of	of	ADP
fcis-22624	42	31	the	the	DET
fcis-22624	42	32	time	time	NOUN
fcis-22624	42	33	series	series	NOUN
fcis-22624	42	34	.	.	PUNCT
fcis-22624	43	1	these	these	DET
fcis-22624	43	2	functions	function	NOUN
fcis-22624	43	3	help	help	VERB
fcis-22624	43	4	us	we	PRON
fcis-22624	43	5	visualize	visualize	VERB
fcis-22624	43	6	the	the	DET
fcis-22624	43	7	correlations	correlation	NOUN
fcis-22624	43	8	between	between	ADP
fcis-22624	43	9	data	datum	NOUN
fcis-22624	43	10	points	point	NOUN
fcis-22624	43	11	,	,	PUNCT
fcis-22624	43	12	as	as	ADV
fcis-22624	43	13	well	well	ADV
fcis-22624	43	14	as	as	ADP
fcis-22624	43	15	their	their	PRON
fcis-22624	43	16	independent	independent	ADJ
fcis-22624	43	17	correlation	correlation	NOUN
fcis-22624	43	18	with	with	ADP
fcis-22624	43	19	other	other	ADJ
fcis-22624	43	20	data	data	NOUN
fcis-22624	43	21	points	point	NOUN
fcis-22624	43	22	.	.	PUNCT
fcis-22624	44	1	autoregressive	autoregressive	ADJ
fcis-22624	44	2	order	order	NOUN
fcis-22624	44	3	:	:	PUNCT
fcis-22624	44	4	this	this	PRON
fcis-22624	44	5	can	can	AUX
fcis-22624	44	6	be	be	AUX
fcis-22624	44	7	determined	determine	VERB
fcis-22624	44	8	by	by	ADP
fcis-22624	44	9	looking	look	VERB
fcis-22624	44	10	at	at	ADP
fcis-22624	44	11	the	the	DET
fcis-22624	44	12	pacf	pacf	NOUN
fcis-22624	44	13	plot	plot	NOUN
fcis-22624	44	14	.	.	PUNCT
fcis-22624	45	1	in	in	ADP
fcis-22624	45	2	general	general	ADJ
fcis-22624	45	3	,	,	PUNCT
fcis-22624	45	4	we	we	PRON
fcis-22624	45	5	can	can	AUX
fcis-22624	45	6	find	find	VERB
fcis-22624	45	7	the	the	DET
fcis-22624	45	8	last	last	ADJ
fcis-22624	45	9	significant	significant	ADJ
fcis-22624	45	10	non	non	ADJ
fcis-22624	45	11	-	-	ADJ
fcis-22624	45	12	zero	zero	NUM
fcis-22624	45	13	lag	lag	NOUN
fcis-22624	45	14	in	in	ADP
fcis-22624	45	15	the	the	DET
fcis-22624	45	16	pacf	pacf	NOUN
fcis-22624	45	17	plot	plot	NOUN
fcis-22624	45	18	as	as	ADP
fcis-22624	45	19	the	the	DET
fcis-22624	45	20	autoregressive	autoregressive	ADJ
fcis-22624	45	21	order	order	NOUN
fcis-22624	45	22	of	of	ADP
fcis-22624	45	23	the	the	DET
fcis-22624	45	24	arima	arima	PROPN
fcis-22624	45	25	model	model	NOUN
fcis-22624	45	26	.	.	PUNCT
fcis-22624	46	1	differential	differential	ADJ
fcis-22624	46	2	degree	degree	NOUN
fcis-22624	46	3	:	:	PUNCT
fcis-22624	46	4	can	can	AUX
fcis-22624	46	5	be	be	AUX
fcis-22624	46	6	determined	determine	VERB
fcis-22624	46	7	by	by	ADP
fcis-22624	46	8	the	the	DET
fcis-22624	46	9	adf	adf	PROPN
fcis-22624	46	10	test	test	NOUN
fcis-22624	46	11	(	(	PUNCT
fcis-22624	46	12	augmented	augment	VERB
fcis-22624	46	13	dickeyfuller	dickeyfuller	NOUN
fcis-22624	46	14	)	)	PUNCT
fcis-22624	46	15	.	.	PUNCT
fcis-22624	47	1	if	if	SCONJ
fcis-22624	47	2	the	the	DET
fcis-22624	47	3	time	time	NOUN
fcis-22624	47	4	series	series	NOUN
fcis-22624	47	5	becomes	become	VERB
fcis-22624	47	6	stationary	stationary	ADJ
fcis-22624	47	7	after	after	ADP
fcis-22624	47	8	one	one	NUM
fcis-22624	47	9	or	or	CCONJ
fcis-22624	47	10	more	more	ADJ
fcis-22624	47	11	differences	difference	NOUN
fcis-22624	47	12	,	,	PUNCT
fcis-22624	47	13	then	then	ADV
fcis-22624	47	14	the	the	DET
fcis-22624	47	15	number	number	NOUN
fcis-22624	47	16	of	of	ADP
fcis-22624	47	17	differences	difference	NOUN
fcis-22624	47	18	is	be	AUX
fcis-22624	47	19	the	the	DET
fcis-22624	47	20	corresponding	corresponding	ADJ
fcis-22624	47	21	number	number	NOUN
fcis-22624	47	22	of	of	ADP
fcis-22624	47	23	differences	difference	NOUN
fcis-22624	47	24	.	.	PUNCT
fcis-22624	48	1	moving	move	VERB
fcis-22624	48	2	average	average	ADJ
fcis-22624	48	3	order	order	NOUN
fcis-22624	48	4	:	:	PUNCT
fcis-22624	48	5	this	this	PRON
fcis-22624	48	6	can	can	AUX
fcis-22624	48	7	be	be	AUX
fcis-22624	48	8	determined	determine	VERB
fcis-22624	48	9	by	by	ADP
fcis-22624	48	10	looking	look	VERB
fcis-22624	48	11	at	at	ADP
fcis-22624	48	12	the	the	DET
fcis-22624	48	13	acf	acf	PROPN
fcis-22624	48	14	plot	plot	NOUN
fcis-22624	48	15	.	.	PUNCT
fcis-22624	49	1	in	in	ADP
fcis-22624	49	2	general	general	ADJ
fcis-22624	49	3	,	,	PUNCT
fcis-22624	49	4	we	we	PRON
fcis-22624	49	5	can	can	AUX
fcis-22624	49	6	find	find	VERB
fcis-22624	49	7	the	the	DET
fcis-22624	49	8	last	last	ADJ
fcis-22624	49	9	significant	significant	ADJ
fcis-22624	49	10	non	non	ADJ
fcis-22624	49	11	-	-	ADJ
fcis-22624	49	12	zero	zero	NUM
fcis-22624	49	13	lag	lag	NOUN
fcis-22624	49	14	in	in	ADP
fcis-22624	49	15	the	the	DET
fcis-22624	49	16	acf	acf	NOUN
fcis-22624	49	17	plot	plot	NOUN
fcis-22624	49	18	as	as	ADP
fcis-22624	49	19	the	the	DET
fcis-22624	49	20	moving	move	VERB
fcis-22624	49	21	average	average	ADJ
fcis-22624	49	22	order	order	NOUN
fcis-22624	49	23	of	of	ADP
fcis-22624	49	24	the	the	DET
fcis-22624	49	25	arima	arima	PROPN
fcis-22624	49	26	model	model	NOUN
fcis-22624	49	27	.	.	PUNCT
fcis-22624	50	1	the	the	DET
fcis-22624	50	2	arima	arima	PROPN
fcis-22624	50	3	model	model	NOUN
fcis-22624	50	4	predicts	predict	VERB
fcis-22624	50	5	future	future	ADJ
fcis-22624	50	6	values	value	NOUN
fcis-22624	50	7	,	,	PUNCT
fcis-22624	50	8	such	such	ADJ
fcis-22624	50	9	as	as	ADP
fcis-22624	50	10	the	the	DET
fcis-22624	50	11	total	total	ADJ
fcis-22624	50	12	annual	annual	ADJ
fcis-22624	50	13	loss	loss	NOUN
fcis-22624	50	14	for	for	ADP
fcis-22624	50	15	the	the	DET
fcis-22624	50	16	next	next	ADJ
fcis-22624	50	17	seven	seven	NUM
fcis-22624	50	18	years	year	NOUN
fcis-22624	50	19	in	in	ADP
fcis-22624	50	20	the	the	DET
fcis-22624	50	21	insurance	insurance	NOUN
fcis-22624	50	22	industry	industry	NOUN
fcis-22624	50	23	,	,	PUNCT
fcis-22624	50	24	which	which	PRON
fcis-22624	50	25	is	be	AUX
fcis-22624	50	26	valuable	valuable	ADJ
fcis-22624	50	27	for	for	ADP
fcis-22624	50	28	insurer	insurer	NOUN
fcis-22624	50	29	strategy	strategy	NOUN
fcis-22624	50	30	development	development	NOUN
fcis-22624	50	31	.	.	PUNCT
fcis-22624	51	1	to	to	PART
fcis-22624	51	2	ensure	ensure	VERB
fcis-22624	51	3	the	the	DET
fcis-22624	51	4	validity	validity	NOUN
fcis-22624	51	5	of	of	ADP
fcis-22624	51	6	the	the	DET
fcis-22624	51	7	predictions	prediction	NOUN
fcis-22624	51	8	,	,	PUNCT
fcis-22624	51	9	the	the	DET
fcis-22624	51	10	model	model	NOUN
fcis-22624	51	11	needs	need	VERB
fcis-22624	51	12	to	to	PART
fcis-22624	51	13	be	be	AUX
fcis-22624	51	14	evaluated	evaluate	VERB
fcis-22624	51	15	,	,	PUNCT
fcis-22624	51	16	including	include	VERB
fcis-22624	51	17	residual	residual	ADJ
fcis-22624	51	18	analysis	analysis	NOUN
fcis-22624	51	19	,	,	PUNCT
fcis-22624	51	20	confidence	confidence	NOUN
fcis-22624	51	21	intervals	interval	NOUN
fcis-22624	51	22	for	for	ADP
fcis-22624	51	23	predictions	prediction	NOUN
fcis-22624	51	24	,	,	PUNCT
fcis-22624	51	25	and	and	CCONJ
fcis-22624	51	26	fit	fit	ADJ
fcis-22624	51	27	of	of	ADP
fcis-22624	51	28	historical	historical	ADJ
fcis-22624	51	29	data	datum	NOUN
fcis-22624	51	30	.	.	PUNCT
fcis-22624	52	1	2.2	2.2	NUM
fcis-22624	52	2	.	.	PUNCT
fcis-22624	52	3	predicting	predict	VERB
fcis-22624	52	4	the	the	DET
fcis-22624	52	5	number	number	NOUN
fcis-22624	52	6	of	of	ADP
fcis-22624	52	7	future	future	ADJ
fcis-22624	52	8	deaths	death	NOUN
fcis-22624	52	9	impact	impact	NOUN
fcis-22624	52	10	of	of	ADP
fcis-22624	52	11	disaster	disaster	NOUN
fcis-22624	52	12	events	event	NOUN
fcis-22624	52	13	on	on	ADP
fcis-22624	52	14	lives	life	NOUN
fcis-22624	52	15	:	:	PUNCT
fcis-22624	52	16	the	the	DET
fcis-22624	52	17	far	far	ADV
fcis-22624	52	18	-	-	PUNCT
fcis-22624	52	19	reaching	reach	VERB
fcis-22624	52	20	impact	impact	NOUN
fcis-22624	52	21	of	of	ADP
fcis-22624	52	22	disaster	disaster	NOUN
fcis-22624	52	23	events	event	NOUN
fcis-22624	52	24	on	on	ADP
fcis-22624	52	25	human	human	ADJ
fcis-22624	52	26	life	life	NOUN
fcis-22624	52	27	is	be	AUX
fcis-22624	52	28	clearly	clearly	ADV
fcis-22624	52	29	demonstrated	demonstrate	VERB
fcis-22624	52	30	through	through	ADP
fcis-22624	52	31	relevant	relevant	ADJ
fcis-22624	52	32	datasets	dataset	NOUN
fcis-22624	52	33	.	.	PUNCT
fcis-22624	53	1	this	this	DET
fcis-22624	53	2	information	information	NOUN
fcis-22624	53	3	is	be	AUX
fcis-22624	53	4	critical	critical	ADJ
fcis-22624	53	5	for	for	ADP
fcis-22624	53	6	contingency	contingency	NOUN
fcis-22624	53	7	planning	planning	NOUN
fcis-22624	53	8	,	,	PUNCT
fcis-22624	53	9	resource	resource	NOUN
fcis-22624	53	10	allocation	allocation	NOUN
fcis-22624	53	11	,	,	PUNCT
fcis-22624	53	12	and	and	CCONJ
fcis-22624	53	13	risk	risk	NOUN
fcis-22624	53	14	assessment	assessment	NOUN
fcis-22624	53	15	and	and	CCONJ
fcis-22624	53	16	management	management	NOUN
fcis-22624	53	17	in	in	ADP
fcis-22624	53	18	the	the	DET
fcis-22624	53	19	insurance	insurance	NOUN
fcis-22624	53	20	industry	industry	NOUN
fcis-22624	53	21	.	.	PUNCT
fcis-22624	54	1	understanding	understanding	NOUN
fcis-22624	54	2	and	and	CCONJ
fcis-22624	54	3	analyzing	analyze	VERB
fcis-22624	54	4	this	this	DET
fcis-22624	54	5	impact	impact	NOUN
fcis-22624	54	6	can	can	AUX
fcis-22624	54	7	help	help	VERB
fcis-22624	54	8	agencies	agency	NOUN
fcis-22624	54	9	and	and	CCONJ
fcis-22624	54	10	companies	company	NOUN
fcis-22624	54	11	develop	develop	VERB
fcis-22624	54	12	strategies	strategy	NOUN
fcis-22624	54	13	more	more	ADV
fcis-22624	54	14	effectively	effectively	ADV
fcis-22624	54	15	to	to	PART
fcis-22624	54	16	mitigate	mitigate	VERB
fcis-22624	54	17	the	the	DET
fcis-22624	54	18	possible	possible	ADJ
fcis-22624	54	19	losses	loss	NOUN
fcis-22624	54	20	and	and	CCONJ
fcis-22624	54	21	impacts	impact	NOUN
fcis-22624	54	22	of	of	ADP
fcis-22624	54	23	future	future	ADJ
fcis-22624	54	24	disaster	disaster	NOUN
fcis-22624	54	25	events	event	NOUN
fcis-22624	54	26	.	.	PUNCT
fcis-22624	55	1	predicting	predict	VERB
fcis-22624	55	2	future	future	ADJ
fcis-22624	55	3	risks	risk	NOUN
fcis-22624	55	4	:	:	PUNCT
fcis-22624	55	5	through	through	ADP
fcis-22624	55	6	time	time	NOUN
fcis-22624	55	7	-	-	PUNCT
fcis-22624	55	8	series	series	NOUN
fcis-22624	55	9	analysis	analysis	NOUN
fcis-22624	55	10	and	and	CCONJ
fcis-22624	55	11	prediction	prediction	NOUN
fcis-22624	55	12	of	of	ADP
fcis-22624	55	13	future	future	ADJ
fcis-22624	55	14	deaths	death	NOUN
fcis-22624	55	15	,	,	PUNCT
fcis-22624	55	16	authorities	authority	NOUN
fcis-22624	55	17	can	can	AUX
fcis-22624	55	18	better	well	ADV
fcis-22624	55	19	prepare	prepare	VERB
fcis-22624	55	20	for	for	ADP
fcis-22624	55	21	potential	potential	ADJ
fcis-22624	55	22	extreme	extreme	ADJ
fcis-22624	55	23	weather	weather	NOUN
fcis-22624	55	24	events	event	NOUN
fcis-22624	55	25	,	,	PUNCT
fcis-22624	55	26	so	so	SCONJ
fcis-22624	55	27	that	that	SCONJ
fcis-22624	55	28	disaster	disaster	NOUN
fcis-22624	55	29	relief	relief	NOUN
fcis-22624	55	30	and	and	CCONJ
fcis-22624	55	31	relief	relief	NOUN
fcis-22624	55	32	plans	plan	NOUN
fcis-22624	55	33	can	can	AUX
fcis-22624	55	34	be	be	AUX
fcis-22624	55	35	planned	plan	VERB
fcis-22624	55	36	and	and	CCONJ
fcis-22624	55	37	implemented	implement	VERB
fcis-22624	55	38	in	in	ADP
fcis-22624	55	39	advance	advance	NOUN
fcis-22624	55	40	.	.	PUNCT
fcis-22624	56	1	this	this	DET
fcis-22624	56	2	forecasting	forecasting	NOUN
fcis-22624	56	3	approach	approach	NOUN
fcis-22624	56	4	not	not	PART
fcis-22624	56	5	only	only	ADV
fcis-22624	56	6	enhances	enhance	VERB
fcis-22624	56	7	the	the	DET
fcis-22624	56	8	ability	ability	NOUN
fcis-22624	56	9	to	to	PART
fcis-22624	56	10	respond	respond	VERB
fcis-22624	56	11	to	to	ADP
fcis-22624	56	12	disasters	disaster	NOUN
fcis-22624	56	13	,	,	PUNCT
fcis-22624	56	14	but	but	CCONJ
fcis-22624	56	15	also	also	ADV
fcis-22624	56	16	ensures	ensure	VERB
fcis-22624	56	17	that	that	SCONJ
fcis-22624	56	18	resources	resource	NOUN
fcis-22624	56	19	can	can	AUX
fcis-22624	56	20	be	be	AUX
fcis-22624	56	21	mobilized	mobilize	VERB
fcis-22624	56	22	quickly	quickly	ADV
fcis-22624	56	23	and	and	CCONJ
fcis-22624	56	24	orderly	orderly	ADJ
fcis-22624	56	25	in	in	ADP
fcis-22624	56	26	the	the	DET
fcis-22624	56	27	event	event	NOUN
fcis-22624	56	28	of	of	ADP
fcis-22624	56	29	an	an	DET
fcis-22624	56	30	emergency	emergency	NOUN
fcis-22624	56	31	,	,	PUNCT
fcis-22624	56	32	thereby	thereby	ADV
fcis-22624	56	33	minimizing	minimize	VERB
fcis-22624	56	34	casualties	casualty	NOUN
fcis-22624	56	35	and	and	CCONJ
fcis-22624	56	36	property	property	NOUN
fcis-22624	56	37	damage	damage	NOUN
fcis-22624	56	38	.	.	PUNCT
fcis-22624	57	1	given	give	VERB
fcis-22624	57	2	that	that	SCONJ
fcis-22624	57	3	the	the	DET
fcis-22624	57	4	dataset	dataset	NOUN
fcis-22624	57	5	provided	provide	VERB
fcis-22624	57	6	is	be	AUX
fcis-22624	57	7	an	an	DET
fcis-22624	57	8	annual	annual	ADJ
fcis-22624	57	9	record	record	NOUN
fcis-22624	57	10	,	,	PUNCT
fcis-22624	57	11	this	this	PRON
fcis-22624	57	12	may	may	AUX
fcis-22624	57	13	not	not	PART
fcis-22624	57	14	reveal	reveal	VERB
fcis-22624	57	15	any	any	DET
fcis-22624	57	16	seasonal	seasonal	ADJ
fcis-22624	57	17	fluctuations	fluctuation	NOUN
fcis-22624	57	18	,	,	PUNCT
fcis-22624	57	19	but	but	CCONJ
fcis-22624	57	20	it	it	PRON
fcis-22624	57	21	is	be	AUX
fcis-22624	57	22	still	still	ADV
fcis-22624	57	23	possible	possible	ADJ
fcis-22624	57	24	to	to	PART
fcis-22624	57	25	show	show	VERB
fcis-22624	57	26	long	long	ADJ
fcis-22624	57	27	-	-	PUNCT
fcis-22624	57	28	term	term	NOUN
fcis-22624	57	29	trends	trend	NOUN
fcis-22624	57	30	or	or	CCONJ
fcis-22624	57	31	cyclical	cyclical	ADJ
fcis-22624	57	32	patterns	pattern	NOUN
fcis-22624	57	33	.	.	PUNCT
fcis-22624	58	1	it	it	PRON
fcis-22624	58	2	is	be	AUX
fcis-22624	58	3	based	base	VERB
fcis-22624	58	4	on	on	ADP
fcis-22624	58	5	this	this	PRON
fcis-22624	58	6	that	that	SCONJ
fcis-22624	58	7	the	the	DET
fcis-22624	58	8	arima	arima	PROPN
fcis-22624	58	9	model	model	NOUN
fcis-22624	58	10	is	be	AUX
fcis-22624	58	11	selected	select	VERB
fcis-22624	58	12	for	for	ADP
fcis-22624	58	13	analysis	analysis	NOUN
fcis-22624	58	14	.	.	PUNCT
fcis-22624	59	1	the	the	DET
fcis-22624	59	2	arima	arima	PROPN
fcis-22624	59	3	model	model	NOUN
fcis-22624	59	4	is	be	AUX
fcis-22624	59	5	particularly	particularly	ADV
fcis-22624	59	6	suitable	suitable	ADJ
fcis-22624	59	7	for	for	ADP
fcis-22624	59	8	identifying	identify	VERB
fcis-22624	59	9	and	and	CCONJ
fcis-22624	59	10	dealing	deal	VERB
fcis-22624	59	11	with	with	ADP
fcis-22624	59	12	trends	trend	NOUN
fcis-22624	59	13	and	and	CCONJ
fcis-22624	59	14	non	non	ADJ
fcis-22624	59	15	-	-	ADJ
fcis-22624	59	16	seasonal	seasonal	ADJ
fcis-22624	59	17	changes	change	NOUN
fcis-22624	59	18	in	in	ADP
fcis-22624	59	19	data	datum	NOUN
fcis-22624	59	20	and	and	CCONJ
fcis-22624	59	21	can	can	AUX
fcis-22624	59	22	effectively	effectively	ADV
fcis-22624	59	23	convert	convert	VERB
fcis-22624	59	24	non	non	ADJ
fcis-22624	59	25	-	-	ADJ
fcis-22624	59	26	stationary	stationary	ADJ
fcis-22624	59	27	sequences	sequence	NOUN
fcis-22624	59	28	into	into	ADP
fcis-22624	59	29	stationary	stationary	ADJ
fcis-22624	59	30	sequences	sequence	NOUN
fcis-22624	59	31	through	through	ADP
fcis-22624	59	32	differential	differential	ADJ
fcis-22624	59	33	methods	method	NOUN
fcis-22624	59	34	.	.	PUNCT
fcis-22624	60	1	trends	trend	NOUN
fcis-22624	60	2	in	in	ADP
fcis-22624	60	3	seasonal	seasonal	ADJ
fcis-22624	60	4	extreme	extreme	ADJ
fcis-22624	60	5	weather	weather	NOUN
fcis-22624	60	6	events	event	NOUN
fcis-22624	60	7	,	,	PUNCT
fcis-22624	60	8	as	as	SCONJ
fcis-22624	60	9	shown	show	VERB
fcis-22624	60	10	in	in	ADP
fcis-22624	60	11	figure	figure	NOUN
fcis-22624	60	12	2	2	NUM
fcis-22624	60	13	.	.	PUNCT
fcis-22624	60	14	in	in	ADP
fcis-22624	60	15	the	the	DET
fcis-22624	60	16	arima	arima	PROPN
fcis-22624	60	17	model	model	NOUN
fcis-22624	60	18	analysis	analysis	NOUN
fcis-22624	60	19	,	,	PUNCT
fcis-22624	60	20	the	the	DET
fcis-22624	60	21	stationarity	stationarity	NOUN
fcis-22624	60	22	of	of	ADP
fcis-22624	60	23	the	the	DET
fcis-22624	60	24	time	time	NOUN
fcis-22624	60	25	series	series	NOUN
fcis-22624	60	26	is	be	AUX
fcis-22624	60	27	first	first	ADV
fcis-22624	60	28	evaluated	evaluate	VERB
fcis-22624	60	29	using	use	VERB
fcis-22624	60	30	the	the	DET
fcis-22624	60	31	adf	adf	PROPN
fcis-22624	60	32	test	test	NOUN
fcis-22624	60	33	.	.	PUNCT
fcis-22624	61	1	nonstationary	nonstationary	ADJ
fcis-22624	61	2	sequences	sequence	NOUN
fcis-22624	61	3	are	be	AUX
fcis-22624	61	4	differentially	differentially	ADV
fcis-22624	61	5	transformed	transform	VERB
fcis-22624	61	6	.	.	PUNCT
fcis-22624	62	1	subsequently	subsequently	ADV
fcis-22624	62	2	,	,	PUNCT
fcis-22624	62	3	by	by	ADP
fcis-22624	62	4	observing	observe	VERB
fcis-22624	62	5	the	the	DET
fcis-22624	62	6	autocorrelation	autocorrelation	NOUN
fcis-22624	62	7	plot	plot	NOUN
fcis-22624	62	8	and	and	CCONJ
fcis-22624	62	9	the	the	DET
fcis-22624	62	10	partial	partial	ADJ
fcis-22624	62	11	autocorrelation	autocorrelation	NOUN
fcis-22624	62	12	plot	plot	NOUN
fcis-22624	62	13	,	,	PUNCT
fcis-22624	62	14	the	the	DET
fcis-22624	62	15	appropriate	appropriate	ADJ
fcis-22624	62	16	ar	ar	NOUN
fcis-22624	62	17	and	and	CCONJ
fcis-22624	62	18	ma	ma	PROPN
fcis-22624	62	19	parameters	parameter	NOUN
fcis-22624	62	20	were	be	AUX
fcis-22624	62	21	determined	determine	VERB
fcis-22624	62	22	.	.	PUNCT
fcis-22624	63	1	the	the	DET
fcis-22624	63	2	ar	ar	PROPN
fcis-22624	63	3	parameter	parameter	NOUN
fcis-22624	63	4	(	(	PUNCT
fcis-22624	63	5	)	)	PUNCT
fcis-22624	63	6	is	be	AUX
fcis-22624	63	7	based	base	VERB
fcis-22624	63	8	on	on	ADP
fcis-22624	63	9	the	the	DET
fcis-22624	63	10	number	number	NOUN
fcis-22624	63	11	of	of	ADP
fcis-22624	63	12	significant	significant	ADJ
fcis-22624	63	13	lag	lag	NOUN
fcis-22624	63	14	periods	period	NOUN
fcis-22624	63	15	after	after	ADP
fcis-22624	63	16	censoring	censor	VERB
fcis-22624	63	17	of	of	ADP
fcis-22624	63	18	the	the	DET
fcis-22624	63	19	pacf	pacf	NOUN
fcis-22624	63	20	plot	plot	NOUN
fcis-22624	63	21	,	,	PUNCT
fcis-22624	63	22	and	and	CCONJ
fcis-22624	63	23	the	the	DET
fcis-22624	63	24	ma	ma	PROPN
fcis-22624	63	25	parameter	parameter	NOUN
fcis-22624	63	26	(	(	PUNCT
fcis-22624	63	27	)	)	PUNCT
fcis-22624	63	28	is	be	AUX
fcis-22624	63	29	based	base	VERB
fcis-22624	63	30	on	on	ADP
fcis-22624	63	31	the	the	DET
fcis-22624	63	32	significant	significant	ADJ
fcis-22624	63	33	lag	lag	NOUN
fcis-22624	63	34	period	period	NOUN
fcis-22624	63	35	of	of	ADP
fcis-22624	63	36	the	the	DET
fcis-22624	63	37	acf	acf	PROPN
fcis-22624	63	38	plot	plot	NOUN
fcis-22624	63	39	.	.	PUNCT
fcis-22624	64	1	this	this	PRON
fcis-22624	64	2	ensures	ensure	VERB
fcis-22624	64	3	that	that	SCONJ
fcis-22624	64	4	the	the	DET
fcis-22624	64	5	arima	arima	PROPN
fcis-22624	64	6	model	model	NOUN
fcis-22624	64	7	captures	capture	VERB
fcis-22624	64	8	key	key	ADJ
fcis-22624	64	9	features	feature	NOUN
fcis-22624	64	10	,	,	PUNCT
fcis-22624	64	11	improving	improve	VERB
fcis-22624	64	12	prediction	prediction	NOUN
fcis-22624	64	13	accuracy	accuracy	NOUN
fcis-22624	64	14	and	and	CCONJ
fcis-22624	64	15	efficiency	efficiency	NOUN
fcis-22624	64	16	.	.	PUNCT
fcis-22624	65	1	61	61	NUM
fcis-22624	65	2	figure	figure	NOUN
fcis-22624	65	3	2	2	NUM
fcis-22624	65	4	.	.	NOUN
fcis-22624	65	5	trends	trend	NOUN
fcis-22624	65	6	in	in	ADP
fcis-22624	65	7	seasonal	seasonal	ADJ
fcis-22624	65	8	extreme	extreme	ADJ
fcis-22624	65	9	weather	weather	NOUN
fcis-22624	65	10	events	event	NOUN
fcis-22624	65	11	figure	figure	VERB
fcis-22624	65	12	3	3	NUM
fcis-22624	65	13	.	.	PUNCT
fcis-22624	66	1	(	(	PUNCT
fcis-22624	66	2	us	we	PRON
fcis-22624	66	3	)	)	PUNCT
fcis-22624	66	4	according	accord	VERB
fcis-22624	66	5	to	to	ADP
fcis-22624	66	6	the	the	DET
fcis-22624	66	7	annual	annual	ADJ
fcis-22624	66	8	accident	accident	NOUN
fcis-22624	66	9	statistics	statistic	NOUN
fcis-22624	66	10	based	base	VERB
fcis-22624	66	11	on	on	ADP
fcis-22624	66	12	these	these	DET
fcis-22624	66	13	analysis	analysis	NOUN
fcis-22624	66	14	steps	step	NOUN
fcis-22624	66	15	,	,	PUNCT
fcis-22624	66	16	we	we	PRON
fcis-22624	66	17	were	be	AUX
fcis-22624	66	18	able	able	ADJ
fcis-22624	66	19	to	to	PART
fcis-22624	66	20	define	define	VERB
fcis-22624	66	21	the	the	DET
fcis-22624	66	22	parameters	parameter	NOUN
fcis-22624	66	23	of	of	ADP
fcis-22624	66	24	the	the	DET
fcis-22624	66	25	arima	arima	PROPN
fcis-22624	66	26	model	model	NOUN
fcis-22624	66	27	,	,	PUNCT
fcis-22624	66	28	where	where	SCONJ
fcis-22624	66	29	:	:	PUNCT
fcis-22624	66	30	represents	represent	VERB
fcis-22624	66	31	the	the	DET
fcis-22624	66	32	order	order	NOUN
fcis-22624	66	33	of	of	ADP
fcis-22624	66	34	the	the	DET
fcis-22624	66	35	autoregressive	autoregressive	ADJ
fcis-22624	66	36	term	term	NOUN
fcis-22624	66	37	in	in	ADP
fcis-22624	66	38	the	the	DET
fcis-22624	66	39	model	model	NOUN
fcis-22624	66	40	,	,	PUNCT
fcis-22624	66	41	represents	represent	VERB
fcis-22624	66	42	the	the	DET
fcis-22624	66	43	number	number	NOUN
fcis-22624	66	44	of	of	ADP
fcis-22624	66	45	differences	difference	NOUN
fcis-22624	66	46	that	that	PRON
fcis-22624	66	47	need	need	VERB
fcis-22624	66	48	to	to	PART
fcis-22624	66	49	be	be	AUX
fcis-22624	66	50	performed	perform	VERB
fcis-22624	66	51	to	to	PART
fcis-22624	66	52	smooth	smooth	VERB
fcis-22624	66	53	the	the	DET
fcis-22624	66	54	data	datum	NOUN
fcis-22624	66	55	,	,	PUNCT
fcis-22624	66	56	and	and	CCONJ
fcis-22624	66	57	is	be	AUX
fcis-22624	66	58	the	the	DET
fcis-22624	66	59	order	order	NOUN
fcis-22624	66	60	of	of	ADP
fcis-22624	66	61	the	the	DET
fcis-22624	66	62	moving	move	VERB
fcis-22624	66	63	average	average	ADJ
fcis-22624	66	64	term	term	NOUN
fcis-22624	66	65	.	.	PUNCT
fcis-22624	67	1	therefore	therefore	ADV
fcis-22624	67	2	,	,	PUNCT
fcis-22624	67	3	the	the	DET
fcis-22624	67	4	arima	arima	NOUN
fcis-22624	67	5	model	model	NOUN
fcis-22624	67	6	can	can	AUX
fcis-22624	67	7	be	be	AUX
fcis-22624	67	8	expressed	express	VERB
fcis-22624	67	9	by	by	ADP
fcis-22624	67	10	the	the	DET
fcis-22624	67	11	formula	formula	NOUN
fcis-22624	67	12	arima	arima	NOUN
fcis-22624	67	13	,	,	PUNCT
fcis-22624	67	14	,	,	PUNCT
fcis-22624	67	15	as	as	ADP
fcis-22624	67	16	:	:	PUNCT
fcis-22624	67	17	1	1	NUM
fcis-22624	67	18	∑	∑	ADP
fcis-22624	67	19	    	    	SPACE
fcis-22624	67	20	1	1	NUM
fcis-22624	67	21	1	1	NUM
fcis-22624	67	22	∑	∑	ADV
fcis-22624	67	23	    	    	SPACE
fcis-22624	67	24	(	(	PUNCT
fcis-22624	67	25	2	2	NUM
fcis-22624	67	26	)	)	PUNCT
fcis-22624	67	27	after	after	ADP
fcis-22624	67	28	successfully	successfully	ADV
fcis-22624	67	29	fitting	fit	VERB
fcis-22624	67	30	the	the	DET
fcis-22624	67	31	model	model	NOUN
fcis-22624	67	32	,	,	PUNCT
fcis-22624	67	33	we	we	PRON
fcis-22624	67	34	will	will	AUX
fcis-22624	67	35	have	have	VERB
fcis-22624	67	36	the	the	DET
fcis-22624	67	37	ability	ability	NOUN
fcis-22624	67	38	to	to	PART
fcis-22624	67	39	predict	predict	VERB
fcis-22624	67	40	future	future	ADJ
fcis-22624	67	41	deaths	death	NOUN
fcis-22624	67	42	.	.	PUNCT
fcis-22624	68	1	these	these	DET
fcis-22624	68	2	predictions	prediction	NOUN
fcis-22624	68	3	will	will	AUX
fcis-22624	68	4	reveal	reveal	VERB
fcis-22624	68	5	the	the	DET
fcis-22624	68	6	level	level	NOUN
fcis-22624	68	7	of	of	ADP
fcis-22624	68	8	risk	risk	NOUN
fcis-22624	68	9	we	we	PRON
fcis-22624	68	10	may	may	AUX
fcis-22624	68	11	face	face	VERB
fcis-22624	68	12	in	in	ADP
fcis-22624	68	13	the	the	DET
fcis-22624	68	14	future	future	NOUN
fcis-22624	68	15	,	,	PUNCT
fcis-22624	68	16	which	which	PRON
fcis-22624	68	17	will	will	AUX
fcis-22624	68	18	provide	provide	VERB
fcis-22624	68	19	important	important	ADJ
fcis-22624	68	20	decision	decision	NOUN
fcis-22624	68	21	-	-	PUNCT
fcis-22624	68	22	support	support	NOUN
fcis-22624	68	23	information	information	NOUN
fcis-22624	68	24	for	for	ADP
fcis-22624	68	25	government	government	NOUN
fcis-22624	68	26	departments	department	NOUN
fcis-22624	68	27	and	and	CCONJ
fcis-22624	68	28	the	the	DET
fcis-22624	68	29	insurance	insurance	NOUN
fcis-22624	68	30	industry	industry	NOUN
fcis-22624	68	31	.	.	PUNCT
fcis-22624	69	1	in	in	ADP
fcis-22624	69	2	addition	addition	NOUN
fcis-22624	69	3	,	,	PUNCT
fcis-22624	69	4	the	the	DET
fcis-22624	69	5	confidence	confidence	NOUN
fcis-22624	69	6	intervals	interval	NOUN
fcis-22624	69	7	attached	attach	VERB
fcis-22624	69	8	to	to	ADP
fcis-22624	69	9	the	the	DET
fcis-22624	69	10	forecasts	forecast	NOUN
fcis-22624	69	11	show	show	VERB
fcis-22624	69	12	the	the	DET
fcis-22624	69	13	uncertainty	uncertainty	NOUN
fcis-22624	69	14	range	range	NOUN
fcis-22624	69	15	of	of	ADP
fcis-22624	69	16	the	the	DET
fcis-22624	69	17	forecasts	forecast	NOUN
fcis-22624	69	18	,	,	PUNCT
fcis-22624	69	19	which	which	PRON
fcis-22624	69	20	is	be	AUX
fcis-22624	69	21	important	important	ADJ
fcis-22624	69	22	for	for	ADP
fcis-22624	69	23	assessing	assess	VERB
fcis-22624	69	24	future	future	ADJ
fcis-22624	69	25	risks	risk	NOUN
fcis-22624	69	26	and	and	CCONJ
fcis-22624	69	27	preparing	prepare	VERB
fcis-22624	69	28	for	for	ADP
fcis-22624	69	29	them	they	PRON
fcis-22624	69	30	.	.	PUNCT
fcis-22624	70	1	the	the	DET
fcis-22624	70	2	fluctuations	fluctuation	NOUN
fcis-22624	70	3	and	and	CCONJ
fcis-22624	70	4	peaks	peak	NOUN
fcis-22624	70	5	in	in	ADP
fcis-22624	70	6	figure	figure	NOUN
fcis-22624	70	7	3	3	NUM
fcis-22624	70	8	suggest	suggest	VERB
fcis-22624	70	9	that	that	SCONJ
fcis-22624	70	10	traditional	traditional	ADJ
fcis-22624	70	11	arima	arima	NOUN
fcis-22624	70	12	models	model	NOUN
fcis-22624	70	13	may	may	AUX
fcis-22624	70	14	not	not	PART
fcis-22624	70	15	be	be	AUX
fcis-22624	70	16	able	able	ADJ
fcis-22624	70	17	to	to	PART
fcis-22624	70	18	fully	fully	ADV
fcis-22624	70	19	capture	capture	VERB
fcis-22624	70	20	the	the	DET
fcis-22624	70	21	characteristics	characteristic	NOUN
fcis-22624	70	22	of	of	ADP
fcis-22624	70	23	the	the	DET
fcis-22624	70	24	data	datum	NOUN
fcis-22624	70	25	.	.	PUNCT
fcis-22624	71	1	outliers	outlier	NOUN
fcis-22624	71	2	need	need	VERB
fcis-22624	71	3	to	to	PART
fcis-22624	71	4	be	be	AUX
fcis-22624	71	5	dealt	deal	VERB
fcis-22624	71	6	with	with	ADP
fcis-22624	71	7	or	or	CCONJ
fcis-22624	71	8	more	more	ADV
fcis-22624	71	9	complex	complex	ADJ
fcis-22624	71	10	models	model	NOUN
fcis-22624	71	11	such	such	ADJ
fcis-22624	71	12	as	as	ADP
fcis-22624	71	13	outlier	outlier	NOUN
fcis-22624	71	14	detection	detection	NOUN
fcis-22624	71	15	or	or	CCONJ
fcis-22624	71	16	time	time	NOUN
fcis-22624	71	17	series	series	NOUN
fcis-22624	71	18	decomposition	decomposition	NOUN
fcis-22624	71	19	techniques	technique	NOUN
fcis-22624	71	20	need	need	VERB
fcis-22624	71	21	to	to	PART
fcis-22624	71	22	be	be	AUX
fcis-22624	71	23	employed	employ	VERB
fcis-22624	71	24	.	.	PUNCT
fcis-22624	72	1	residual	residual	ADJ
fcis-22624	72	2	analysis	analysis	NOUN
fcis-22624	72	3	helps	help	VERB
fcis-22624	72	4	to	to	PART
fcis-22624	72	5	determine	determine	VERB
fcis-22624	72	6	whether	whether	SCONJ
fcis-22624	72	7	the	the	DET
fcis-22624	72	8	model	model	NOUN
fcis-22624	72	9	is	be	AUX
fcis-22624	72	10	extracting	extract	VERB
fcis-22624	72	11	sufficient	sufficient	ADJ
fcis-22624	72	12	information	information	NOUN
fcis-22624	72	13	,	,	PUNCT
fcis-22624	72	14	and	and	CCONJ
fcis-22624	72	15	if	if	SCONJ
fcis-22624	72	16	there	there	PRON
fcis-22624	72	17	is	be	VERB
fcis-22624	72	18	a	a	DET
fcis-22624	72	19	clear	clear	ADJ
fcis-22624	72	20	pattern	pattern	NOUN
fcis-22624	72	21	or	or	CCONJ
fcis-22624	72	22	autocorrelation	autocorrelation	NOUN
fcis-22624	72	23	,	,	PUNCT
fcis-22624	72	24	the	the	DET
fcis-22624	72	25	model	model	NOUN
fcis-22624	72	26	needs	need	VERB
fcis-22624	72	27	to	to	PART
fcis-22624	72	28	be	be	AUX
fcis-22624	72	29	adjusted	adjust	VERB
fcis-22624	72	30	.	.	PUNCT
fcis-22624	73	1	2.3	2.3	NUM
fcis-22624	73	2	.	.	PUNCT
fcis-22624	73	3	analysis	analysis	NOUN
fcis-22624	73	4	of	of	ADP
fcis-22624	73	5	acf	acf	NOUN
fcis-22624	73	6	and	and	CCONJ
fcis-22624	73	7	pacf	pacf	NOUN
fcis-22624	73	8	in	in	ADP
fcis-22624	73	9	this	this	DET
fcis-22624	73	10	scenario	scenario	NOUN
fcis-22624	73	11	,	,	PUNCT
fcis-22624	73	12	analyzing	analyze	VERB
fcis-22624	73	13	the	the	DET
fcis-22624	73	14	autocorrelation	autocorrelation	NOUN
fcis-22624	73	15	function	function	NOUN
fcis-22624	73	16	(	(	PUNCT
fcis-22624	73	17	acf	acf	PROPN
fcis-22624	73	18	)	)	PUNCT
fcis-22624	73	19	and	and	CCONJ
fcis-22624	73	20	partial	partial	ADJ
fcis-22624	73	21	autocorrelation	autocorrelation	NOUN
fcis-22624	73	22	function	function	NOUN
fcis-22624	73	23	(	(	PUNCT
fcis-22624	73	24	pacf	pacf	NOUN
fcis-22624	73	25	)	)	PUNCT
fcis-22624	73	26	has	have	AUX
fcis-22624	73	27	become	become	VERB
fcis-22624	73	28	the	the	DET
fcis-22624	73	29	core	core	ADJ
fcis-22624	73	30	step	step	NOUN
fcis-22624	73	31	to	to	PART
fcis-22624	73	32	understand	understand	VERB
fcis-22624	73	33	the	the	DET
fcis-22624	73	34	autocorrelation	autocorrelation	NOUN
fcis-22624	73	35	in	in	ADP
fcis-22624	73	36	time	time	NOUN
fcis-22624	73	37	series	series	PROPN
fcis-22624	73	38	data	data	PROPN
fcis-22624	73	39	.	.	PUNCT
fcis-22624	74	1	this	this	PRON
fcis-22624	74	2	is	be	AUX
fcis-22624	74	3	because	because	SCONJ
fcis-22624	74	4	they	they	PRON
fcis-22624	74	5	are	be	AUX
fcis-22624	74	6	able	able	ADJ
fcis-22624	74	7	to	to	PART
fcis-22624	74	8	show	show	VERB
fcis-22624	74	9	regularities	regularity	NOUN
fcis-22624	74	10	within	within	ADP
fcis-22624	74	11	the	the	DET
fcis-22624	74	12	data	datum	NOUN
fcis-22624	74	13	,	,	PUNCT
fcis-22624	74	14	such	such	ADJ
fcis-22624	74	15	as	as	ADP
fcis-22624	74	16	trends	trend	NOUN
fcis-22624	74	17	,	,	PUNCT
fcis-22624	74	18	periodicity	periodicity	NOUN
fcis-22624	74	19	,	,	PUNCT
fcis-22624	74	20	and	and	CCONJ
fcis-22624	74	21	other	other	ADJ
fcis-22624	74	22	forms	form	NOUN
fcis-22624	74	23	of	of	ADP
fcis-22624	74	24	correlated	correlate	VERB
fcis-22624	74	25	structure	structure	NOUN
fcis-22624	74	26	.	.	PUNCT
fcis-22624	75	1	based	base	VERB
fcis-22624	75	2	on	on	ADP
fcis-22624	75	3	the	the	DET
fcis-22624	75	4	patterns	pattern	NOUN
fcis-22624	75	5	inherent	inherent	ADJ
fcis-22624	75	6	in	in	ADP
fcis-22624	75	7	these	these	DET
fcis-22624	75	8	data	datum	NOUN
fcis-22624	75	9	,	,	PUNCT
fcis-22624	75	10	the	the	DET
fcis-22624	75	11	arima	arima	NOUN
fcis-22624	75	12	model	model	NOUN
fcis-22624	75	13	is	be	AUX
fcis-22624	75	14	designed	design	VERB
fcis-22624	75	15	to	to	PART
fcis-22624	75	16	capture	capture	VERB
fcis-22624	75	17	these	these	DET
fcis-22624	75	18	features	feature	NOUN
fcis-22624	75	19	and	and	CCONJ
fcis-22624	75	20	apply	apply	VERB
fcis-22624	75	21	them	they	PRON
fcis-22624	75	22	to	to	ADP
fcis-22624	75	23	the	the	DET
fcis-22624	75	24	prediction	prediction	NOUN
fcis-22624	75	25	process	process	NOUN
fcis-22624	75	26	of	of	ADP
fcis-22624	75	27	future	future	ADJ
fcis-22624	75	28	values	value	NOUN
fcis-22624	75	29	.	.	PUNCT
fcis-22624	76	1	acf	acf	NOUN
fcis-22624	76	2	plots	plot	NOUN
fcis-22624	76	3	provide	provide	VERB
fcis-22624	76	4	us	we	PRON
fcis-22624	76	5	with	with	ADP
fcis-22624	76	6	a	a	DET
fcis-22624	76	7	view	view	NOUN
fcis-22624	76	8	of	of	ADP
fcis-22624	76	9	the	the	DET
fcis-22624	76	10	intrinsic	intrinsic	ADJ
fcis-22624	76	11	correlation	correlation	NOUN
fcis-22624	76	12	of	of	ADP
fcis-22624	76	13	data	datum	NOUN
fcis-22624	76	14	by	by	ADP
fcis-22624	76	15	revealing	reveal	VERB
fcis-22624	76	16	the	the	DET
fcis-22624	76	17	autocorrelation	autocorrelation	NOUN
fcis-22624	76	18	of	of	ADP
fcis-22624	76	19	different	different	ADJ
fcis-22624	76	20	lag	lag	NOUN
fcis-22624	76	21	periods	period	NOUN
fcis-22624	76	22	[	[	X
fcis-22624	76	23	5	5	NUM
fcis-22624	76	24	]	]	PUNCT
fcis-22624	76	25	.	.	PUNCT
fcis-22624	77	1	if	if	SCONJ
fcis-22624	77	2	the	the	DET
fcis-22624	77	3	acf	acf	NOUN
fcis-22624	77	4	value	value	NOUN
fcis-22624	77	5	goes	go	VERB
fcis-22624	77	6	to	to	ADP
fcis-22624	77	7	zero	zero	NUM
fcis-22624	77	8	quickly	quickly	ADV
fcis-22624	77	9	after	after	ADP
fcis-22624	77	10	a	a	DET
fcis-22624	77	11	certain	certain	ADJ
fcis-22624	77	12	point	point	NOUN
fcis-22624	77	13	,	,	PUNCT
fcis-22624	77	14	it	it	PRON
fcis-22624	77	15	usually	usually	ADV
fcis-22624	77	16	means	mean	VERB
fcis-22624	77	17	that	that	SCONJ
fcis-22624	77	18	the	the	DET
fcis-22624	77	19	time	time	NOUN
fcis-22624	77	20	series	series	NOUN
fcis-22624	77	21	is	be	AUX
fcis-22624	77	22	affected	affect	VERB
fcis-22624	77	23	by	by	ADP
fcis-22624	77	24	a	a	DET
fcis-22624	77	25	short	short	ADJ
fcis-22624	77	26	-	-	PUNCT
fcis-22624	77	27	term	term	NOUN
fcis-22624	77	28	correlation	correlation	NOUN
fcis-22624	77	29	,	,	PUNCT
fcis-22624	77	30	which	which	PRON
fcis-22624	77	31	is	be	AUX
fcis-22624	77	32	especially	especially	ADV
fcis-22624	77	33	critical	critical	ADJ
fcis-22624	77	34	when	when	SCONJ
fcis-22624	77	35	choosing	choose	VERB
fcis-22624	77	36	the	the	DET
fcis-22624	77	37	moving	move	VERB
fcis-22624	77	38	average	average	ADJ
fcis-22624	77	39	(	(	PUNCT
fcis-22624	77	40	ma	ma	PROPN
fcis-22624	77	41	)	)	PUNCT
fcis-22624	77	42	parameter	parameter	NOUN
fcis-22624	77	43	.	.	PUNCT
fcis-22624	78	1	conversely	conversely	ADV
fcis-22624	78	2	,	,	PUNCT
fcis-22624	78	3	if	if	SCONJ
fcis-22624	78	4	the	the	DET
fcis-22624	78	5	acf	acf	NOUN
fcis-22624	78	6	exhibits	exhibit	VERB
fcis-22624	78	7	a	a	DET
fcis-22624	78	8	slowly	slowly	ADV
fcis-22624	78	9	declining	decline	VERB
fcis-22624	78	10	or	or	CCONJ
fcis-22624	78	11	persistent	persistent	ADJ
fcis-22624	78	12	fluctuation	fluctuation	NOUN
fcis-22624	78	13	pattern	pattern	NOUN
fcis-22624	78	14	,	,	PUNCT
fcis-22624	78	15	this	this	PRON
fcis-22624	78	16	may	may	AUX
fcis-22624	78	17	imply	imply	VERB
fcis-22624	78	18	that	that	SCONJ
fcis-22624	78	19	the	the	DET
fcis-22624	78	20	time	time	NOUN
fcis-22624	78	21	series	series	NOUN
fcis-22624	78	22	contains	contain	VERB
fcis-22624	78	23	more	more	ADV
fcis-22624	78	24	complex	complex	ADJ
fcis-22624	78	25	correlated	correlate	VERB
fcis-22624	78	26	structures	structure	NOUN
fcis-22624	78	27	,	,	PUNCT
fcis-22624	78	28	or	or	CCONJ
fcis-22624	78	29	that	that	SCONJ
fcis-22624	78	30	the	the	DET
fcis-22624	78	31	time	time	NOUN
fcis-22624	78	32	series	series	PROPN
fcis-22624	78	33	is	be	AUX
fcis-22624	78	34	non	non	ADJ
fcis-22624	78	35	-	-	ADJ
fcis-22624	78	36	stationary	stationary	ADJ
fcis-22624	78	37	and	and	CCONJ
fcis-22624	78	38	therefore	therefore	ADV
fcis-22624	78	39	requires	require	VERB
fcis-22624	78	40	differential	differential	ADJ
fcis-22624	78	41	processing	processing	NOUN
fcis-22624	78	42	to	to	PART
fcis-22624	78	43	reach	reach	VERB
fcis-22624	78	44	a	a	DET
fcis-22624	78	45	stationary	stationary	ADJ
fcis-22624	78	46	state	state	NOUN
fcis-22624	78	47	.	.	PUNCT
fcis-22624	79	1	the	the	DET
fcis-22624	79	2	pacf	pacf	PROPN
fcis-22624	79	3	plot	plot	NOUN
fcis-22624	79	4	provides	provide	VERB
fcis-22624	79	5	independent	independent	ADJ
fcis-22624	79	6	autocorrelation	autocorrelation	NOUN
fcis-22624	79	7	information	information	NOUN
fcis-22624	79	8	for	for	ADP
fcis-22624	79	9	each	each	DET
fcis-22624	79	10	lag	lag	NOUN
fcis-22624	79	11	period	period	NOUN
fcis-22624	79	12	after	after	ADP
fcis-22624	79	13	excluding	exclude	VERB
fcis-22624	79	14	the	the	DET
fcis-22624	79	15	effects	effect	NOUN
fcis-22624	79	16	of	of	ADP
fcis-22624	79	17	other	other	ADJ
fcis-22624	79	18	lag	lag	NOUN
fcis-22624	79	19	periods	period	NOUN
fcis-22624	79	20	.	.	PUNCT
fcis-22624	80	1	by	by	ADP
fcis-22624	80	2	observing	observe	VERB
fcis-22624	80	3	the	the	DET
fcis-22624	80	4	truncation	truncation	NOUN
fcis-22624	80	5	phenomenon	phenomenon	NOUN
fcis-22624	80	6	of	of	ADP
fcis-22624	80	7	pacf	pacf	NOUN
fcis-22624	80	8	,	,	PUNCT
fcis-22624	80	9	we	we	PRON
fcis-22624	80	10	can	can	AUX
fcis-22624	80	11	determine	determine	VERB
fcis-22624	80	12	the	the	DET
fcis-22624	80	13	appropriate	appropriate	ADJ
fcis-22624	80	14	order	order	NOUN
fcis-22624	80	15	of	of	ADP
fcis-22624	80	16	autoregressive	autoregressive	ADJ
fcis-22624	80	17	(	(	PUNCT
fcis-22624	80	18	ar	ar	NOUN
fcis-22624	80	19	)	)	PUNCT
fcis-22624	80	20	parameters	parameter	NOUN
fcis-22624	80	21	.	.	PUNCT
fcis-22624	81	1	this	this	DET
fcis-22624	81	2	analysis	analysis	NOUN
fcis-22624	81	3	ensures	ensure	VERB
fcis-22624	81	4	that	that	SCONJ
fcis-22624	81	5	the	the	DET
fcis-22624	81	6	model	model	NOUN
fcis-22624	81	7	accurately	accurately	ADV
fcis-22624	81	8	reflects	reflect	VERB
fcis-22624	81	9	the	the	DET
fcis-22624	81	10	intrinsic	intrinsic	ADJ
fcis-22624	81	11	dynamics	dynamic	NOUN
fcis-22624	81	12	of	of	ADP
fcis-22624	81	13	the	the	DET
fcis-22624	81	14	time	time	NOUN
fcis-22624	81	15	series	series	NOUN
fcis-22624	81	16	,	,	PUNCT
fcis-22624	81	17	providing	provide	VERB
fcis-22624	81	18	a	a	DET
fcis-22624	81	19	solid	solid	ADJ
fcis-22624	81	20	basis	basis	NOUN
fcis-22624	81	21	for	for	ADP
fcis-22624	81	22	future	future	ADJ
fcis-22624	81	23	predictions	prediction	NOUN
fcis-22624	81	24	.	.	PUNCT
fcis-22624	82	1	figure	figure	NOUN
fcis-22624	82	2	4	4	NUM
fcis-22624	82	3	.	.	PUNCT
fcis-22624	83	1	(	(	PUNCT
fcis-22624	83	2	us	we	PRON
fcis-22624	83	3	)	)	PUNCT
fcis-22624	83	4	autocorrelation	autocorrelation	NOUN
fcis-22624	83	5	and	and	CCONJ
fcis-22624	83	6	partial	partial	ADJ
fcis-22624	83	7	autocorrelation	autocorrelation	NOUN
fcis-22624	83	8	diagram	diagram	NOUN
fcis-22624	83	9	based	base	VERB
fcis-22624	83	10	on	on	ADP
fcis-22624	83	11	the	the	DET
fcis-22624	83	12	clues	clue	NOUN
fcis-22624	83	13	provided	provide	VERB
fcis-22624	83	14	by	by	ADP
fcis-22624	83	15	figure	figure	NOUN
fcis-22624	83	16	4	4	NUM
fcis-22624	83	17	,	,	PUNCT
fcis-22624	83	18	we	we	PRON
fcis-22624	83	19	may	may	AUX
fcis-22624	83	20	choose	choose	VERB
fcis-22624	83	21	an	an	DET
fcis-22624	83	22	arima	arima	NOUN
fcis-22624	83	23	model	model	NOUN
fcis-22624	83	24	to	to	PART
fcis-22624	83	25	predict	predict	VERB
fcis-22624	83	26	future	future	ADJ
fcis-22624	83	27	disaster	disaster	NOUN
fcis-22624	83	28	impacts	impact	NOUN
fcis-22624	83	29	.	.	PUNCT
fcis-22624	84	1	for	for	ADP
fcis-22624	84	2	example	example	NOUN
fcis-22624	84	3	,	,	PUNCT
fcis-22624	84	4	if	if	SCONJ
fcis-22624	84	5	a	a	DET
fcis-22624	84	6	partial	partial	ADJ
fcis-22624	84	7	autocorrelation	autocorrelation	NOUN
fcis-22624	84	8	graph	graph	NOUN
fcis-22624	84	9	(	(	PUNCT
fcis-22624	84	10	pacf	pacf	NOUN
fcis-22624	84	11	)	)	PUNCT
fcis-22624	84	12	exhibits	exhibit	VERB
fcis-22624	84	13	a	a	DET
fcis-22624	84	14	truncated	truncated	ADJ
fcis-22624	84	15	feature	feature	NOUN
fcis-22624	84	16	after	after	ADP
fcis-22624	84	17	the	the	DET
fcis-22624	84	18	first	first	ADJ
fcis-22624	84	19	order	order	NOUN
fcis-22624	84	20	,	,	PUNCT
fcis-22624	84	21	and	and	CCONJ
fcis-22624	84	22	an	an	DET
fcis-22624	84	23	autocorrelation	autocorrelation	NOUN
fcis-22624	84	24	graph	graph	NOUN
fcis-22624	84	25	(	(	PUNCT
fcis-22624	84	26	acf	acf	PROPN
fcis-22624	84	27	)	)	PUNCT
fcis-22624	84	28	exhibits	exhibit	VERB
fcis-22624	84	29	decreasing	decrease	VERB
fcis-22624	84	30	fluctuations	fluctuation	NOUN
fcis-22624	84	31	,	,	PUNCT
fcis-22624	84	32	then	then	ADV
fcis-22624	84	33	we	we	PRON
fcis-22624	84	34	might	might	AUX
fcis-22624	84	35	consider	consider	VERB
fcis-22624	84	36	an	an	DET
fcis-22624	84	37	arima	arima	NOUN
fcis-22624	84	38	1	1	NUM
fcis-22624	84	39	,	,	PUNCT
fcis-22624	84	40	  	  	SPACE
fcis-22624	84	41	,	,	PUNCT
fcis-22624	84	42	0	0	NUM
fcis-22624	84	43	or	or	CCONJ
fcis-22624	84	44	arima	arima	PROPN
fcis-22624	84	45	1	1	NUM
fcis-22624	84	46	,	,	PUNCT
fcis-22624	84	47	  	  	SPACE
fcis-22624	84	48	,	,	PUNCT
fcis-22624	84	49	1	1	NUM
fcis-22624	84	50	model	model	NOUN
fcis-22624	84	51	.	.	PUNCT
fcis-22624	85	1	where	where	SCONJ
fcis-22624	85	2	the	the	DET
fcis-22624	85	3	dd	dd	NOUN
fcis-22624	85	4	value	value	NOUN
fcis-22624	85	5	is	be	AUX
fcis-22624	85	6	determined	determine	VERB
fcis-22624	85	7	by	by	ADP
fcis-22624	85	8	the	the	DET
fcis-22624	85	9	stationarity	stationarity	NOUN
fcis-22624	85	10	of	of	ADP
fcis-22624	85	11	the	the	DET
fcis-22624	85	12	data	datum	NOUN
fcis-22624	85	13	.	.	PUNCT
fcis-22624	86	1	after	after	ADP
fcis-22624	86	2	fitting	fit	VERB
fcis-22624	86	3	the	the	DET
fcis-22624	86	4	model	model	NOUN
fcis-22624	86	5	,	,	PUNCT
fcis-22624	86	6	we	we	PRON
fcis-22624	86	7	should	should	AUX
fcis-22624	86	8	check	check	VERB
fcis-22624	86	9	the	the	DET
fcis-22624	86	10	acf	acf	NOUN
fcis-22624	86	11	and	and	CCONJ
fcis-22624	86	12	pacf	pacf	NOUN
fcis-22624	86	13	of	of	ADP
fcis-22624	86	14	the	the	DET
fcis-22624	86	15	residuals	residual	NOUN
fcis-22624	86	16	to	to	PART
fcis-22624	86	17	ensure	ensure	VERB
fcis-22624	86	18	that	that	SCONJ
fcis-22624	86	19	the	the	DET
fcis-22624	86	20	model	model	NOUN
fcis-22624	86	21	has	have	AUX
fcis-22624	86	22	not	not	PART
fcis-22624	86	23	missed	miss	VERB
fcis-22624	86	24	any	any	DET
fcis-22624	86	25	important	important	ADJ
fcis-22624	86	26	information	information	NOUN
fcis-22624	86	27	.	.	PUNCT
fcis-22624	87	1	if	if	SCONJ
fcis-22624	87	2	the	the	DET
fcis-22624	87	3	residuals	residual	NOUN
fcis-22624	87	4	exhibit	exhibit	VERB
fcis-22624	87	5	randomness	randomness	NOUN
fcis-22624	87	6	,	,	PUNCT
fcis-22624	87	7	i.e.	i.e.	X
fcis-22624	87	8	,	,	PUNCT
fcis-22624	87	9	there	there	PRON
fcis-22624	87	10	is	be	VERB
fcis-22624	87	11	no	no	DET
fcis-22624	87	12	significant	significant	ADJ
fcis-22624	87	13	autocorrelation	autocorrelation	NOUN
fcis-22624	87	14	or	or	CCONJ
fcis-22624	87	15	partial	partial	ADJ
fcis-22624	87	16	autocorrelation	autocorrelation	NOUN
fcis-22624	87	17	,	,	PUNCT
fcis-22624	87	18	then	then	ADV
fcis-22624	87	19	the	the	DET
fcis-22624	87	20	model	model	NOUN
fcis-22624	87	21	fits	fit	VERB
fcis-22624	87	22	well	well	ADV
fcis-22624	87	23	.	.	PUNCT
fcis-22624	88	1	by	by	ADP
fcis-22624	88	2	examining	examine	VERB
fcis-22624	88	3	the	the	DET
fcis-22624	88	4	acf	acf	NOUN
fcis-22624	88	5	and	and	CCONJ
fcis-22624	88	6	pacf	pacf	NOUN
fcis-22624	88	7	plots	plot	NOUN
fcis-22624	88	8	of	of	ADP
fcis-22624	88	9	the	the	DET
fcis-22624	88	10	residuals	residual	NOUN
fcis-22624	88	11	,	,	PUNCT
fcis-22624	88	12	we	we	PRON
fcis-22624	88	13	can	can	AUX
fcis-22624	88	14	verify	verify	VERB
fcis-22624	88	15	that	that	SCONJ
fcis-22624	88	16	the	the	DET
fcis-22624	88	17	model	model	NOUN
fcis-22624	88	18	is	be	AUX
fcis-22624	88	19	able	able	ADJ
fcis-22624	88	20	to	to	PART
fcis-22624	88	21	capture	capture	VERB
fcis-22624	88	22	all	all	DET
fcis-22624	88	23	relevant	relevant	ADJ
fcis-22624	88	24	structures	structure	NOUN
fcis-22624	88	25	in	in	ADP
fcis-22624	88	26	the	the	DET
fcis-22624	88	27	data	datum	NOUN
fcis-22624	88	28	.	.	PUNCT
fcis-22624	89	1	if	if	SCONJ
fcis-22624	89	2	the	the	DET
fcis-22624	89	3	residuals	residual	NOUN
fcis-22624	89	4	are	be	AUX
fcis-22624	89	5	found	find	VERB
fcis-22624	89	6	to	to	PART
fcis-22624	89	7	still	still	ADV
fcis-22624	89	8	exhibit	exhibit	VERB
fcis-22624	89	9	some	some	DET
fcis-22624	89	10	degree	degree	NOUN
fcis-22624	89	11	of	of	ADP
fcis-22624	89	12	autocorrelation	autocorrelation	NOUN
fcis-22624	89	13	,	,	PUNCT
fcis-22624	89	14	it	it	PRON
fcis-22624	89	15	may	may	AUX
fcis-22624	89	16	mean	mean	VERB
fcis-22624	89	17	that	that	SCONJ
fcis-22624	89	18	the	the	DET
fcis-22624	89	19	model	model	NOUN
fcis-22624	89	20	could	could	AUX
fcis-22624	89	21	be	be	AUX
fcis-22624	89	22	further	far	ADV
fcis-22624	89	23	improved	improve	VERB
fcis-22624	89	24	,	,	PUNCT
fcis-22624	89	25	such	such	ADJ
fcis-22624	89	26	as	as	ADP
fcis-22624	89	27	adding	add	VERB
fcis-22624	89	28	higher	high	ADJ
fcis-22624	89	29	-	-	PUNCT
fcis-22624	89	30	order	order	NOUN
fcis-22624	89	31	ar	ar	NOUN
fcis-22624	89	32	or	or	CCONJ
fcis-22624	89	33	ma	ma	PROPN
fcis-22624	89	34	parameters	parameter	NOUN
fcis-22624	89	35	or	or	CCONJ
fcis-22624	89	36	considering	consider	VERB
fcis-22624	89	37	other	other	ADJ
fcis-22624	89	38	models	model	NOUN
fcis-22624	89	39	.	.	PUNCT
fcis-22624	90	1	once	once	SCONJ
fcis-22624	90	2	we	we	PRON
fcis-22624	90	3	confirm	confirm	VERB
fcis-22624	90	4	that	that	SCONJ
fcis-22624	90	5	the	the	DET
fcis-22624	90	6	residuals	residual	NOUN
fcis-22624	90	7	of	of	ADP
fcis-22624	90	8	the	the	DET
fcis-22624	90	9	model	model	NOUN
fcis-22624	90	10	behave	behave	VERB
fcis-22624	90	11	as	as	ADV
fcis-22624	90	12	random	random	ADJ
fcis-22624	90	13	,	,	PUNCT
fcis-22624	90	14	i.e.	i.e.	X
fcis-22624	90	15	,	,	PUNCT
fcis-22624	90	16	there	there	PRON
fcis-22624	90	17	are	be	VERB
fcis-22624	90	18	no	no	DET
fcis-22624	90	19	systematic	systematic	ADJ
fcis-22624	90	20	patterns	pattern	NOUN
fcis-22624	90	21	or	or	CCONJ
fcis-22624	90	22	trends	trend	NOUN
fcis-22624	90	23	,	,	PUNCT
fcis-22624	90	24	we	we	PRON
fcis-22624	90	25	can	can	AUX
fcis-22624	90	26	use	use	VERB
fcis-22624	90	27	the	the	DET
fcis-22624	90	28	model	model	NOUN
fcis-22624	90	29	to	to	PART
fcis-22624	90	30	make	make	VERB
fcis-22624	90	31	future	future	ADJ
fcis-22624	90	32	predictions	prediction	NOUN
fcis-22624	90	33	.	.	PUNCT
fcis-22624	91	1	these	these	DET
fcis-22624	91	2	forecasts	forecast	NOUN
fcis-22624	91	3	can	can	AUX
fcis-22624	91	4	be	be	AUX
fcis-22624	91	5	used	use	VERB
fcis-22624	91	6	to	to	PART
fcis-22624	91	7	guide	guide	VERB
fcis-22624	91	8	decisions	decision	NOUN
fcis-22624	91	9	such	such	ADJ
fcis-22624	91	10	as	as	ADP
fcis-22624	91	11	policy	policy	NOUN
fcis-22624	91	12	making	making	NOUN
fcis-22624	91	13	,	,	PUNCT
fcis-22624	91	14	0	0	NUM
fcis-22624	91	15	500	500	NUM
fcis-22624	91	16	1000	1000	NUM
fcis-22624	91	17	1500	1500	NUM
fcis-22624	91	18	2000	2000	NUM
fcis-22624	91	19	2500	2500	NUM
fcis-22624	91	20	3000	3000	NUM
fcis-22624	91	21	3500	3500	NUM
fcis-22624	91	22	4000	4000	NUM
fcis-22624	91	23	19	19	NUM
fcis-22624	91	24	80	80	NUM
fcis-22624	91	25	n	n	NUM
fcis-22624	91	26	19	19	NUM
fcis-22624	91	27	82	82	NUM
fcis-22624	91	28	n	n	NUM
fcis-22624	91	29	19	19	NUM
fcis-22624	91	30	84	84	NUM
fcis-22624	91	31	n	n	NUM
fcis-22624	91	32	19	19	NUM
fcis-22624	91	33	86	86	NUM
fcis-22624	91	34	n	n	NUM
fcis-22624	91	35	19	19	NUM
fcis-22624	91	36	88	88	NUM
fcis-22624	91	37	n	n	NUM
fcis-22624	91	38	19	19	NUM
fcis-22624	91	39	90	90	NUM
fcis-22624	91	40	n	n	NUM
fcis-22624	91	41	19	19	NUM
fcis-22624	91	42	92	92	NUM
fcis-22624	91	43	n	n	NUM
fcis-22624	91	44	19	19	NUM
fcis-22624	91	45	94	94	NUM
fcis-22624	91	46	n	n	PRON
fcis-22624	91	47	19	19	NUM
fcis-22624	91	48	96	96	NUM
fcis-22624	91	49	n	n	NUM
fcis-22624	91	50	19	19	NUM
fcis-22624	91	51	98	98	NUM
fcis-22624	91	52	n	n	NUM
fcis-22624	91	53	20	20	NUM
fcis-22624	91	54	00	00	NUM
fcis-22624	91	55	n	n	PRON
fcis-22624	91	56	20	20	NUM
fcis-22624	91	57	02	02	NUM
fcis-22624	91	58	n	n	NUM
fcis-22624	91	59	20	20	NUM
fcis-22624	91	60	04	04	NUM
fcis-22624	91	61	n	n	NUM
fcis-22624	91	62	20	20	NUM
fcis-22624	91	63	06	06	NUM
fcis-22624	91	64	n	n	NUM
fcis-22624	91	65	20	20	NUM
fcis-22624	91	66	08	08	NUM
fcis-22624	91	67	n	n	NUM
fcis-22624	91	68	20	20	NUM
fcis-22624	91	69	10	10	NUM
fcis-22624	91	70	n	n	NUM
fcis-22624	91	71	20	20	NUM
fcis-22624	91	72	12	12	NUM
fcis-22624	91	73	n	n	NUM
fcis-22624	91	74	20	20	NUM
fcis-22624	91	75	14	14	NUM
fcis-22624	91	76	n	n	NUM
fcis-22624	91	77	20	20	NUM
fcis-22624	91	78	16	16	NUM
fcis-22624	91	79	n	n	NUM
fcis-22624	91	80	20	20	NUM
fcis-22624	91	81	18	18	NUM
fcis-22624	91	82	n	n	NUM
fcis-22624	91	83	20	20	NUM
fcis-22624	91	84	20	20	NUM
fcis-22624	91	85	n	n	NUM
fcis-22624	91	86	20	20	NUM
fcis-22624	91	87	22	22	NUM
fcis-22624	91	88	n	n	PRON
fcis-22624	91	89	total	total	ADJ
fcis-22624	91	90	deather	deather	NOUN
fcis-22624	91	91	62	62	NUM
fcis-22624	91	92	preparedness	preparedness	NOUN
fcis-22624	91	93	measures	measure	NOUN
fcis-22624	91	94	,	,	PUNCT
fcis-22624	91	95	and	and	CCONJ
fcis-22624	91	96	pricing	pricing	NOUN
fcis-22624	91	97	of	of	ADP
fcis-22624	91	98	insurance	insurance	NOUN
fcis-22624	91	99	products	product	NOUN
fcis-22624	91	100	.	.	PUNCT
fcis-22624	92	1	by	by	ADP
fcis-22624	92	2	constantly	constantly	ADV
fcis-22624	92	3	monitoring	monitor	VERB
fcis-22624	92	4	and	and	CCONJ
fcis-22624	92	5	updating	update	VERB
fcis-22624	92	6	the	the	DET
fcis-22624	92	7	model	model	NOUN
fcis-22624	92	8	's	's	PART
fcis-22624	92	9	predictions	prediction	NOUN
fcis-22624	92	10	,	,	PUNCT
fcis-22624	92	11	we	we	PRON
fcis-22624	92	12	can	can	AUX
fcis-22624	92	13	adjust	adjust	VERB
fcis-22624	92	14	these	these	DET
fcis-22624	92	15	decisions	decision	NOUN
fcis-22624	92	16	to	to	PART
fcis-22624	92	17	respond	respond	VERB
fcis-22624	92	18	to	to	ADP
fcis-22624	92	19	changes	change	NOUN
fcis-22624	92	20	in	in	ADP
fcis-22624	92	21	the	the	DET
fcis-22624	92	22	impact	impact	NOUN
fcis-22624	92	23	of	of	ADP
fcis-22624	92	24	disasters	disaster	NOUN
fcis-22624	92	25	.	.	PUNCT
fcis-22624	93	1	3	3	X
fcis-22624	93	2	.	.	X
fcis-22624	93	3	cgdam	cgdam	NOUN
fcis-22624	93	4	-	-	PUNCT
fcis-22624	93	5	wrir	wrir	NOUN
fcis-22624	93	6	model	model	NOUN
fcis-22624	93	7	3.1	3.1	NUM
fcis-22624	93	8	.	.	PUNCT
fcis-22624	93	9	model	model	NOUN
fcis-22624	93	10	basic	basic	ADJ
fcis-22624	93	11	framework	framework	NOUN
fcis-22624	93	12	with	with	ADP
fcis-22624	93	13	the	the	DET
fcis-22624	93	14	frequent	frequent	ADJ
fcis-22624	93	15	occurrence	occurrence	NOUN
fcis-22624	93	16	of	of	ADP
fcis-22624	93	17	extreme	extreme	ADJ
fcis-22624	93	18	weather	weather	NOUN
fcis-22624	93	19	events	event	NOUN
fcis-22624	93	20	,	,	PUNCT
fcis-22624	93	21	especially	especially	ADV
fcis-22624	93	22	tornadoes	tornado	NOUN
fcis-22624	93	23	,	,	PUNCT
fcis-22624	93	24	which	which	PRON
fcis-22624	93	25	are	be	AUX
fcis-22624	93	26	unpredictable	unpredictable	ADJ
fcis-22624	93	27	and	and	CCONJ
fcis-22624	93	28	destructive	destructive	ADJ
fcis-22624	93	29	,	,	PUNCT
fcis-22624	93	30	they	they	PRON
fcis-22624	93	31	have	have	AUX
fcis-22624	93	32	attracted	attract	VERB
fcis-22624	93	33	widespread	widespread	ADJ
fcis-22624	93	34	attention	attention	NOUN
fcis-22624	93	35	.	.	PUNCT
fcis-22624	94	1	it	it	PRON
fcis-22624	94	2	is	be	AUX
fcis-22624	94	3	critical	critical	ADJ
fcis-22624	94	4	for	for	SCONJ
fcis-22624	94	5	communities	community	NOUN
fcis-22624	94	6	to	to	PART
fcis-22624	94	7	accurately	accurately	ADV
fcis-22624	94	8	identify	identify	VERB
fcis-22624	94	9	and	and	CCONJ
fcis-22624	94	10	assess	assess	VERB
fcis-22624	94	11	these	these	DET
fcis-22624	94	12	risks	risk	NOUN
fcis-22624	94	13	,	,	PUNCT
fcis-22624	94	14	which	which	PRON
fcis-22624	94	15	involves	involve	VERB
fcis-22624	94	16	the	the	DET
fcis-22624	94	17	development	development	NOUN
fcis-22624	94	18	of	of	ADP
fcis-22624	94	19	emergency	emergency	NOUN
fcis-22624	94	20	response	response	NOUN
fcis-22624	94	21	plans	plan	NOUN
fcis-22624	94	22	,	,	PUNCT
fcis-22624	94	23	the	the	DET
fcis-22624	94	24	strengthening	strengthening	NOUN
fcis-22624	94	25	of	of	ADP
fcis-22624	94	26	infrastructure	infrastructure	NOUN
fcis-22624	94	27	,	,	PUNCT
fcis-22624	94	28	and	and	CCONJ
fcis-22624	94	29	the	the	DET
fcis-22624	94	30	safety	safety	NOUN
fcis-22624	94	31	precautions	precaution	NOUN
fcis-22624	94	32	taken	take	VERB
fcis-22624	94	33	by	by	ADP
fcis-22624	94	34	residents	resident	NOUN
fcis-22624	94	35	.	.	PUNCT
fcis-22624	95	1	for	for	ADP
fcis-22624	95	2	insurers	insurer	NOUN
fcis-22624	95	3	,	,	PUNCT
fcis-22624	95	4	understanding	understand	VERB
fcis-22624	95	5	tornado	tornado	NOUN
fcis-22624	95	6	risk	risk	NOUN
fcis-22624	95	7	levels	level	NOUN
fcis-22624	95	8	in	in	ADP
fcis-22624	95	9	different	different	ADJ
fcis-22624	95	10	regions	region	NOUN
fcis-22624	95	11	can	can	AUX
fcis-22624	95	12	help	help	VERB
fcis-22624	95	13	calculate	calculate	VERB
fcis-22624	95	14	risk	risk	NOUN
fcis-22624	95	15	,	,	PUNCT
fcis-22624	95	16	adjust	adjust	VERB
fcis-22624	95	17	premiums	premium	NOUN
fcis-22624	95	18	,	,	PUNCT
fcis-22624	95	19	and	and	CCONJ
fcis-22624	95	20	develop	develop	VERB
fcis-22624	95	21	insurance	insurance	NOUN
fcis-22624	95	22	policies	policy	NOUN
fcis-22624	95	23	more	more	ADV
fcis-22624	95	24	precisely	precisely	ADV
fcis-22624	95	25	.	.	PUNCT
fcis-22624	96	1	given	give	VERB
fcis-22624	96	2	the	the	DET
fcis-22624	96	3	frequency	frequency	NOUN
fcis-22624	96	4	of	of	ADP
fcis-22624	96	5	extreme	extreme	ADJ
fcis-22624	96	6	weather	weather	NOUN
fcis-22624	96	7	events	event	NOUN
fcis-22624	96	8	around	around	ADP
fcis-22624	96	9	the	the	DET
fcis-22624	96	10	world	world	NOUN
fcis-22624	96	11	and	and	CCONJ
fcis-22624	96	12	the	the	DET
fcis-22624	96	13	far	far	ADV
fcis-22624	96	14	-	-	PUNCT
fcis-22624	96	15	reaching	reach	VERB
fcis-22624	96	16	impact	impact	NOUN
fcis-22624	96	17	these	these	DET
fcis-22624	96	18	events	event	NOUN
fcis-22624	96	19	can	can	AUX
fcis-22624	96	20	have	have	VERB
fcis-22624	96	21	on	on	ADP
fcis-22624	96	22	human	human	ADJ
fcis-22624	96	23	societies	society	NOUN
fcis-22624	96	24	and	and	CCONJ
fcis-22624	96	25	economies	economy	NOUN
fcis-22624	96	26	,	,	PUNCT
fcis-22624	96	27	it	it	PRON
fcis-22624	96	28	is	be	AUX
fcis-22624	96	29	important	important	ADJ
fcis-22624	96	30	to	to	PART
fcis-22624	96	31	choose	choose	VERB
fcis-22624	96	32	an	an	DET
fcis-22624	96	33	analytical	analytical	ADJ
fcis-22624	96	34	tool	tool	NOUN
fcis-22624	96	35	that	that	PRON
fcis-22624	96	36	provides	provide	VERB
fcis-22624	96	37	a	a	DET
fcis-22624	96	38	clear	clear	ADJ
fcis-22624	96	39	picture	picture	NOUN
fcis-22624	96	40	of	of	ADP
fcis-22624	96	41	the	the	DET
fcis-22624	96	42	level	level	NOUN
fcis-22624	96	43	of	of	ADP
fcis-22624	96	44	risk	risk	NOUN
fcis-22624	96	45	in	in	ADP
fcis-22624	96	46	the	the	DET
fcis-22624	96	47	region	region	NOUN
fcis-22624	96	48	.	.	PUNCT
fcis-22624	97	1	this	this	DET
fcis-22624	97	2	concise	concise	ADJ
fcis-22624	97	3	,	,	PUNCT
fcis-22624	97	4	descriptive	descriptive	ADJ
fcis-22624	97	5	statistical	statistical	ADJ
fcis-22624	97	6	model	model	NOUN
fcis-22624	97	7	provides	provide	VERB
fcis-22624	97	8	policymakers	policymaker	NOUN
fcis-22624	97	9	and	and	CCONJ
fcis-22624	97	10	insurers	insurer	NOUN
fcis-22624	97	11	with	with	ADP
fcis-22624	97	12	an	an	DET
fcis-22624	97	13	intuitive	intuitive	ADJ
fcis-22624	97	14	map	map	NOUN
fcis-22624	97	15	of	of	ADP
fcis-22624	97	16	risk	risk	NOUN
fcis-22624	97	17	by	by	ADP
fcis-22624	97	18	counting	count	VERB
fcis-22624	97	19	and	and	CCONJ
fcis-22624	97	20	visualizing	visualize	VERB
fcis-22624	97	21	the	the	DET
fcis-22624	97	22	number	number	NOUN
fcis-22624	97	23	of	of	ADP
fcis-22624	97	24	tornado	tornado	NOUN
fcis-22624	97	25	events	event	NOUN
fcis-22624	97	26	that	that	PRON
fcis-22624	97	27	occur	occur	VERB
fcis-22624	97	28	in	in	ADP
fcis-22624	97	29	each	each	DET
fcis-22624	97	30	state	state	NOUN
fcis-22624	97	31	.	.	PUNCT
fcis-22624	98	1	this	this	DET
fcis-22624	98	2	approach	approach	NOUN
fcis-22624	98	3	provides	provide	VERB
fcis-22624	98	4	an	an	DET
fcis-22624	98	5	important	important	ADJ
fcis-22624	98	6	reference	reference	NOUN
fcis-22624	98	7	for	for	ADP
fcis-22624	98	8	predicting	predict	VERB
fcis-22624	98	9	future	future	ADJ
fcis-22624	98	10	risk	risk	NOUN
fcis-22624	98	11	levels	level	NOUN
fcis-22624	98	12	and	and	CCONJ
fcis-22624	98	13	formulating	formulate	VERB
fcis-22624	98	14	corresponding	corresponding	ADJ
fcis-22624	98	15	countermeasures	countermeasure	NOUN
fcis-22624	98	16	by	by	ADP
fcis-22624	98	17	visualizing	visualize	VERB
fcis-22624	98	18	the	the	DET
fcis-22624	98	19	frequency	frequency	NOUN
fcis-22624	98	20	of	of	ADP
fcis-22624	98	21	events	event	NOUN
fcis-22624	98	22	in	in	ADP
fcis-22624	98	23	history	history	NOUN
fcis-22624	98	24	.	.	PUNCT
fcis-22624	99	1	as	as	SCONJ
fcis-22624	99	2	shown	show	VERB
fcis-22624	99	3	in	in	ADP
fcis-22624	99	4	figure	figure	NOUN
fcis-22624	99	5	5	5	NUM
fcis-22624	99	6	.	.	PUNCT
fcis-22624	99	7	figure	figure	NOUN
fcis-22624	99	8	5	5	NUM
fcis-22624	99	9	.	.	PUNCT
fcis-22624	99	10	number	number	NOUN
fcis-22624	99	11	of	of	ADP
fcis-22624	99	12	tornado	tornado	NOUN
fcis-22624	99	13	events	event	NOUN
fcis-22624	99	14	by	by	ADP
fcis-22624	99	15	state	state	NOUN
fcis-22624	99	16	3.2	3.2	NUM
fcis-22624	99	17	.	.	PUNCT
fcis-22624	100	1	parameter	parameter	NOUN
fcis-22624	100	2	estimation	estimation	NOUN
fcis-22624	100	3	and	and	CCONJ
fcis-22624	100	4	calibration	calibration	NOUN
fcis-22624	100	5	as	as	ADP
fcis-22624	100	6	the	the	DET
fcis-22624	100	7	impact	impact	NOUN
fcis-22624	100	8	of	of	ADP
fcis-22624	100	9	climate	climate	NOUN
fcis-22624	100	10	change	change	NOUN
fcis-22624	100	11	intensifies	intensifie	NOUN
fcis-22624	100	12	,	,	PUNCT
fcis-22624	100	13	the	the	DET
fcis-22624	100	14	frequency	frequency	NOUN
fcis-22624	100	15	and	and	CCONJ
fcis-22624	100	16	intensity	intensity	NOUN
fcis-22624	100	17	of	of	ADP
fcis-22624	100	18	extreme	extreme	ADJ
fcis-22624	100	19	weather	weather	NOUN
fcis-22624	100	20	events	event	NOUN
fcis-22624	100	21	are	be	AUX
fcis-22624	100	22	increasing	increase	VERB
fcis-22624	100	23	significantly	significantly	ADV
fcis-22624	100	24	.	.	PUNCT
fcis-22624	101	1	it	it	PRON
fcis-22624	101	2	is	be	AUX
fcis-22624	101	3	critical	critical	ADJ
fcis-22624	101	4	for	for	SCONJ
fcis-22624	101	5	the	the	DET
fcis-22624	101	6	insurance	insurance	NOUN
fcis-22624	101	7	industry	industry	NOUN
fcis-22624	101	8	to	to	PART
fcis-22624	101	9	identify	identify	VERB
fcis-22624	101	10	areas	area	NOUN
fcis-22624	101	11	that	that	PRON
fcis-22624	101	12	are	be	AUX
fcis-22624	101	13	more	more	ADV
fcis-22624	101	14	vulnerable	vulnerable	ADJ
fcis-22624	101	15	to	to	ADP
fcis-22624	101	16	such	such	ADJ
fcis-22624	101	17	events	event	NOUN
fcis-22624	101	18	,	,	PUNCT
fcis-22624	101	19	as	as	ADV
fcis-22624	101	20	well	well	ADV
fcis-22624	101	21	as	as	ADP
fcis-22624	101	22	to	to	PART
fcis-22624	101	23	estimate	estimate	VERB
fcis-22624	101	24	the	the	DET
fcis-22624	101	25	amount	amount	NOUN
fcis-22624	101	26	of	of	ADP
fcis-22624	101	27	economic	economic	ADJ
fcis-22624	101	28	damage	damage	NOUN
fcis-22624	101	29	that	that	PRON
fcis-22624	101	30	these	these	DET
fcis-22624	101	31	events	event	NOUN
fcis-22624	101	32	may	may	AUX
fcis-22624	101	33	cause	cause	VERB
fcis-22624	101	34	.	.	PUNCT
fcis-22624	102	1	this	this	DET
fcis-22624	102	2	critical	critical	ADJ
fcis-22624	102	3	information	information	NOUN
fcis-22624	102	4	can	can	AUX
fcis-22624	102	5	help	help	VERB
fcis-22624	102	6	insurers	insurer	NOUN
fcis-22624	102	7	adjust	adjust	VERB
fcis-22624	102	8	insurance	insurance	NOUN
fcis-22624	102	9	rates	rate	NOUN
fcis-22624	102	10	,	,	PUNCT
fcis-22624	102	11	design	design	VERB
fcis-22624	102	12	more	more	ADV
fcis-22624	102	13	accurate	accurate	ADJ
fcis-22624	102	14	insurance	insurance	NOUN
fcis-22624	102	15	products	product	NOUN
fcis-22624	102	16	,	,	PUNCT
fcis-22624	102	17	and	and	CCONJ
fcis-22624	102	18	develop	develop	VERB
fcis-22624	102	19	more	more	ADV
fcis-22624	102	20	effective	effective	ADJ
fcis-22624	102	21	prevention	prevention	NOUN
fcis-22624	102	22	and	and	CCONJ
fcis-22624	102	23	response	response	NOUN
fcis-22624	102	24	measures	measure	NOUN
fcis-22624	102	25	for	for	ADP
fcis-22624	102	26	potential	potential	ADJ
fcis-22624	102	27	disaster	disaster	NOUN
fcis-22624	102	28	events	event	NOUN
fcis-22624	102	29	.	.	PUNCT
fcis-22624	103	1	in	in	ADP
fcis-22624	103	2	our	our	PRON
fcis-22624	103	3	comprehensive	comprehensive	ADJ
fcis-22624	103	4	geospatial	geospatial	NOUN
fcis-22624	103	5	and	and	CCONJ
fcis-22624	103	6	weather	weather	NOUN
fcis-22624	103	7	-	-	PUNCT
fcis-22624	103	8	related	relate	VERB
fcis-22624	103	9	insurance	insurance	NOUN
fcis-22624	103	10	risk	risk	NOUN
fcis-22624	103	11	damage	damage	NOUN
fcis-22624	103	12	assessment	assessment	NOUN
fcis-22624	103	13	model	model	NOUN
fcis-22624	103	14	(	(	PUNCT
fcis-22624	103	15	cgdamwrir	cgdamwrir	NOUN
fcis-22624	103	16	)	)	PUNCT
fcis-22624	103	17	,	,	PUNCT
fcis-22624	103	18	we	we	PRON
fcis-22624	103	19	place	place	VERB
fcis-22624	103	20	a	a	DET
fcis-22624	103	21	high	high	ADJ
fcis-22624	103	22	value	value	NOUN
fcis-22624	103	23	on	on	ADP
fcis-22624	103	24	the	the	DET
fcis-22624	103	25	accuracy	accuracy	NOUN
fcis-22624	103	26	and	and	CCONJ
fcis-22624	103	27	upto	upto	NOUN
fcis-22624	103	28	-	-	PUNCT
fcis-22624	103	29	date	date	NOUN
fcis-22624	103	30	nature	nature	NOUN
fcis-22624	103	31	of	of	ADP
fcis-22624	103	32	property	property	NOUN
fcis-22624	103	33	loss	loss	NOUN
fcis-22624	103	34	data	datum	NOUN
fcis-22624	103	35	.	.	PUNCT
fcis-22624	104	1	the	the	DET
fcis-22624	104	2	data	datum	NOUN
fcis-22624	104	3	pre	pre	ADJ
fcis-22624	104	4	-	-	ADJ
fcis-22624	104	5	processing	processing	ADJ
fcis-22624	104	6	phase	phase	NOUN
fcis-22624	104	7	is	be	AUX
fcis-22624	104	8	a	a	DET
fcis-22624	104	9	critical	critical	ADJ
fcis-22624	104	10	step	step	NOUN
fcis-22624	104	11	in	in	ADP
fcis-22624	104	12	ensuring	ensure	VERB
fcis-22624	104	13	that	that	SCONJ
fcis-22624	104	14	the	the	DET
fcis-22624	104	15	loss	loss	NOUN
fcis-22624	104	16	amount	amount	NOUN
fcis-22624	104	17	is	be	AUX
fcis-22624	104	18	correctly	correctly	ADV
fcis-22624	104	19	identified	identify	VERB
fcis-22624	104	20	and	and	CCONJ
fcis-22624	104	21	converted	convert	VERB
fcis-22624	104	22	into	into	ADP
fcis-22624	104	23	a	a	DET
fcis-22624	104	24	numerical	numerical	ADJ
fcis-22624	104	25	format	format	NOUN
fcis-22624	104	26	,	,	PUNCT
fcis-22624	104	27	laying	lay	VERB
fcis-22624	104	28	the	the	DET
fcis-22624	104	29	foundation	foundation	NOUN
fcis-22624	104	30	for	for	ADP
fcis-22624	104	31	subsequent	subsequent	ADJ
fcis-22624	104	32	in	in	ADP
fcis-22624	104	33	-	-	PUNCT
fcis-22624	104	34	depth	depth	NOUN
fcis-22624	104	35	analysis	analysis	NOUN
fcis-22624	104	36	.	.	PUNCT
fcis-22624	105	1	by	by	ADP
fcis-22624	105	2	combining	combine	VERB
fcis-22624	105	3	the	the	DET
fcis-22624	105	4	loss	loss	NOUN
fcis-22624	105	5	data	datum	NOUN
fcis-22624	105	6	with	with	ADP
fcis-22624	105	7	specific	specific	ADJ
fcis-22624	105	8	geographic	geographic	ADJ
fcis-22624	105	9	location	location	NOUN
fcis-22624	105	10	(	(	PUNCT
fcis-22624	105	11	latitude	latitude	NOUN
fcis-22624	105	12	and	and	CCONJ
fcis-22624	105	13	longitude	longitude	ADJ
fcis-22624	105	14	information	information	NOUN
fcis-22624	105	15	)	)	PUNCT
fcis-22624	105	16	,	,	PUNCT
fcis-22624	105	17	we	we	PRON
fcis-22624	105	18	can	can	AUX
fcis-22624	105	19	pinpoint	pinpoint	VERB
fcis-22624	105	20	the	the	DET
fcis-22624	105	21	areas	area	NOUN
fcis-22624	105	22	that	that	PRON
fcis-22624	105	23	are	be	AUX
fcis-22624	105	24	most	most	ADV
fcis-22624	105	25	affected	affected	ADJ
fcis-22624	105	26	and	and	CCONJ
fcis-22624	105	27	further	far	ADV
fcis-22624	105	28	analyze	analyze	VERB
fcis-22624	105	29	the	the	DET
fcis-22624	105	30	specific	specific	ADJ
fcis-22624	105	31	types	type	NOUN
fcis-22624	105	32	of	of	ADP
fcis-22624	105	33	risks	risk	NOUN
fcis-22624	105	34	that	that	PRON
fcis-22624	105	35	these	these	DET
fcis-22624	105	36	areas	area	NOUN
fcis-22624	105	37	face	face	VERB
fcis-22624	105	38	.	.	PUNCT
fcis-22624	106	1	this	this	DET
fcis-22624	106	2	approach	approach	NOUN
fcis-22624	106	3	allows	allow	VERB
fcis-22624	106	4	us	we	PRON
fcis-22624	106	5	not	not	PART
fcis-22624	106	6	only	only	ADV
fcis-22624	106	7	to	to	PART
fcis-22624	106	8	identify	identify	VERB
fcis-22624	106	9	the	the	DET
fcis-22624	106	10	areas	area	NOUN
fcis-22624	106	11	most	most	ADV
fcis-22624	106	12	affected	affect	VERB
fcis-22624	106	13	by	by	ADP
fcis-22624	106	14	disasters	disaster	NOUN
fcis-22624	106	15	,	,	PUNCT
fcis-22624	106	16	but	but	CCONJ
fcis-22624	106	17	also	also	ADV
fcis-22624	106	18	to	to	PART
fcis-22624	106	19	gain	gain	VERB
fcis-22624	106	20	a	a	DET
fcis-22624	106	21	deeper	deep	ADJ
fcis-22624	106	22	understanding	understanding	NOUN
fcis-22624	106	23	of	of	ADP
fcis-22624	106	24	the	the	DET
fcis-22624	106	25	risk	risk	NOUN
fcis-22624	106	26	characteristics	characteristic	NOUN
fcis-22624	106	27	of	of	ADP
fcis-22624	106	28	different	different	ADJ
fcis-22624	106	29	regions	region	NOUN
fcis-22624	106	30	.	.	PUNCT
fcis-22624	107	1	this	this	PRON
fcis-22624	107	2	provides	provide	VERB
fcis-22624	107	3	a	a	DET
fcis-22624	107	4	scientific	scientific	ADJ
fcis-22624	107	5	basis	basis	NOUN
fcis-22624	107	6	for	for	ADP
fcis-22624	107	7	formulating	formulate	VERB
fcis-22624	107	8	more	more	ADV
fcis-22624	107	9	effective	effective	ADJ
fcis-22624	107	10	risk	risk	NOUN
fcis-22624	107	11	management	management	NOUN
fcis-22624	107	12	strategies	strategy	NOUN
fcis-22624	107	13	,	,	PUNCT
fcis-22624	107	14	adjusting	adjust	VERB
fcis-22624	107	15	premium	premium	ADJ
fcis-22624	107	16	policies	policy	NOUN
fcis-22624	107	17	,	,	PUNCT
fcis-22624	107	18	and	and	CCONJ
fcis-22624	107	19	designing	design	VERB
fcis-22624	107	20	more	more	ADV
fcis-22624	107	21	targeted	target	VERB
fcis-22624	107	22	insurance	insurance	NOUN
fcis-22624	107	23	products	product	NOUN
fcis-22624	107	24	.	.	PUNCT
fcis-22624	108	1	in	in	ADP
fcis-22624	108	2	this	this	DET
fcis-22624	108	3	visualization	visualization	NOUN
fcis-22624	108	4	,	,	PUNCT
fcis-22624	108	5	each	each	DET
fcis-22624	108	6	point	point	NOUN
fcis-22624	108	7	on	on	ADP
fcis-22624	108	8	the	the	DET
fcis-22624	108	9	graph	graph	NOUN
fcis-22624	108	10	represents	represent	VERB
fcis-22624	108	11	a	a	DET
fcis-22624	108	12	recorded	recorded	ADJ
fcis-22624	108	13	weather	weather	NOUN
fcis-22624	108	14	event	event	NOUN
fcis-22624	108	15	,	,	PUNCT
fcis-22624	108	16	and	and	CCONJ
fcis-22624	108	17	the	the	DET
fcis-22624	108	18	color	color	NOUN
fcis-22624	108	19	and	and	CCONJ
fcis-22624	108	20	size	size	NOUN
fcis-22624	108	21	of	of	ADP
fcis-22624	108	22	the	the	DET
fcis-22624	108	23	point	point	NOUN
fcis-22624	108	24	adjusts	adjust	VERB
fcis-22624	108	25	to	to	ADP
fcis-22624	108	26	the	the	DET
fcis-22624	108	27	corresponding	corresponding	ADJ
fcis-22624	108	28	property	property	NOUN
fcis-22624	108	29	damage	damage	NOUN
fcis-22624	108	30	value	value	NOUN
fcis-22624	108	31	.	.	PUNCT
fcis-22624	109	1	in	in	ADP
fcis-22624	109	2	this	this	DET
fcis-22624	109	3	way	way	NOUN
fcis-22624	109	4	,	,	PUNCT
fcis-22624	109	5	the	the	PRON
fcis-22624	109	6	larger	large	ADJ
fcis-22624	109	7	the	the	DET
fcis-22624	109	8	loss	loss	NOUN
fcis-22624	109	9	value	value	NOUN
fcis-22624	109	10	of	of	ADP
fcis-22624	109	11	the	the	DET
fcis-22624	109	12	event	event	NOUN
fcis-22624	109	13	,	,	PUNCT
fcis-22624	109	14	the	the	PRON
fcis-22624	109	15	more	more	ADV
fcis-22624	109	16	vivid	vivid	ADJ
fcis-22624	109	17	the	the	DET
fcis-22624	109	18	color	color	NOUN
fcis-22624	109	19	and	and	CCONJ
fcis-22624	109	20	size	size	NOUN
fcis-22624	109	21	of	of	ADP
fcis-22624	109	22	the	the	DET
fcis-22624	109	23	point	point	NOUN
fcis-22624	109	24	it	it	PRON
fcis-22624	109	25	represents	represent	VERB
fcis-22624	109	26	.	.	PUNCT
fcis-22624	110	1	this	this	DET
fcis-22624	110	2	design	design	NOUN
fcis-22624	110	3	provides	provide	VERB
fcis-22624	110	4	a	a	DET
fcis-22624	110	5	visual	visual	ADJ
fcis-22624	110	6	indication	indication	NOUN
fcis-22624	110	7	of	of	ADP
fcis-22624	110	8	which	which	DET
fcis-22624	110	9	areas	area	NOUN
fcis-22624	110	10	have	have	AUX
fcis-22624	110	11	suffered	suffer	VERB
fcis-22624	110	12	significant	significant	ADJ
fcis-22624	110	13	economic	economic	ADJ
fcis-22624	110	14	losses	loss	NOUN
fcis-22624	110	15	,	,	PUNCT
fcis-22624	110	16	which	which	PRON
fcis-22624	110	17	may	may	AUX
fcis-22624	110	18	be	be	AUX
fcis-22624	110	19	due	due	ADJ
fcis-22624	110	20	to	to	ADP
fcis-22624	110	21	frequent	frequent	ADJ
fcis-22624	110	22	weather	weather	NOUN
fcis-22624	110	23	events	event	NOUN
fcis-22624	110	24	in	in	ADP
fcis-22624	110	25	the	the	DET
fcis-22624	110	26	region	region	NOUN
fcis-22624	110	27	or	or	CCONJ
fcis-22624	110	28	the	the	DET
fcis-22624	110	29	extremely	extremely	ADV
fcis-22624	110	30	high	high	ADJ
fcis-22624	110	31	impact	impact	NOUN
fcis-22624	110	32	of	of	ADP
fcis-22624	110	33	a	a	DET
fcis-22624	110	34	single	single	ADJ
fcis-22624	110	35	event	event	NOUN
fcis-22624	110	36	.	.	PUNCT
fcis-22624	111	1	3.3	3.3	NUM
fcis-22624	111	2	.	.	PUNCT
fcis-22624	112	1	the	the	DET
fcis-22624	112	2	impact	impact	NOUN
fcis-22624	112	3	degree	degree	NOUN
fcis-22624	112	4	of	of	ADP
fcis-22624	112	5	different	different	ADJ
fcis-22624	112	6	intensity	intensity	NOUN
fcis-22624	112	7	tornadoes	tornado	NOUN
fcis-22624	112	8	on	on	ADP
fcis-22624	112	9	regions	region	NOUN
fcis-22624	112	10	in	in	ADP
fcis-22624	112	11	the	the	DET
fcis-22624	112	12	field	field	NOUN
fcis-22624	112	13	of	of	ADP
fcis-22624	112	14	meteorological	meteorological	ADJ
fcis-22624	112	15	disaster	disaster	NOUN
fcis-22624	112	16	management	management	NOUN
fcis-22624	112	17	,	,	PUNCT
fcis-22624	112	18	an	an	DET
fcis-22624	112	19	indepth	indepth	ADJ
fcis-22624	112	20	understanding	understanding	NOUN
fcis-22624	112	21	of	of	ADP
fcis-22624	112	22	tornadoes	tornado	NOUN
fcis-22624	112	23	of	of	ADP
fcis-22624	112	24	different	different	ADJ
fcis-22624	112	25	intensities	intensity	NOUN
fcis-22624	112	26	and	and	CCONJ
fcis-22624	112	27	their	their	PRON
fcis-22624	112	28	impact	impact	NOUN
fcis-22624	112	29	on	on	ADP
fcis-22624	112	30	each	each	DET
fcis-22624	112	31	region	region	NOUN
fcis-22624	112	32	is	be	AUX
fcis-22624	112	33	critical	critical	ADJ
fcis-22624	112	34	.	.	PUNCT
fcis-22624	113	1	this	this	DET
fcis-22624	113	2	information	information	NOUN
fcis-22624	113	3	is	be	AUX
fcis-22624	113	4	important	important	ADJ
fcis-22624	113	5	for	for	ADP
fcis-22624	113	6	risk	risk	NOUN
fcis-22624	113	7	assessment	assessment	NOUN
fcis-22624	113	8	,	,	PUNCT
fcis-22624	113	9	effective	effective	ADJ
fcis-22624	113	10	allocation	allocation	NOUN
fcis-22624	113	11	of	of	ADP
fcis-22624	113	12	resources	resource	NOUN
fcis-22624	113	13	,	,	PUNCT
fcis-22624	113	14	development	development	NOUN
fcis-22624	113	15	of	of	ADP
fcis-22624	113	16	emergency	emergency	NOUN
fcis-22624	113	17	response	response	NOUN
fcis-22624	113	18	plans	plan	NOUN
fcis-22624	113	19	,	,	PUNCT
fcis-22624	113	20	and	and	CCONJ
fcis-22624	113	21	planning	plan	VERB
fcis-22624	113	22	for	for	ADP
fcis-22624	113	23	long	long	ADJ
fcis-22624	113	24	-	-	PUNCT
fcis-22624	113	25	term	term	NOUN
fcis-22624	113	26	infrastructure	infrastructure	NOUN
fcis-22624	113	27	.	.	PUNCT
fcis-22624	114	1	at	at	ADP
fcis-22624	114	2	the	the	DET
fcis-22624	114	3	same	same	ADJ
fcis-22624	114	4	time	time	NOUN
fcis-22624	114	5	,	,	PUNCT
fcis-22624	114	6	this	this	DET
fcis-22624	114	7	data	data	NOUN
fcis-22624	114	8	is	be	AUX
fcis-22624	114	9	also	also	ADV
fcis-22624	114	10	critical	critical	ADJ
fcis-22624	114	11	for	for	ADP
fcis-22624	114	12	insurers	insurer	NOUN
fcis-22624	114	13	when	when	SCONJ
fcis-22624	114	14	designing	design	VERB
fcis-22624	114	15	insurance	insurance	NOUN
fcis-22624	114	16	products	product	NOUN
fcis-22624	114	17	and	and	CCONJ
fcis-22624	114	18	assessing	assess	VERB
fcis-22624	114	19	the	the	DET
fcis-22624	114	20	associated	associated	ADJ
fcis-22624	114	21	risks	risk	NOUN
fcis-22624	114	22	.	.	PUNCT
fcis-22624	115	1	in	in	ADP
fcis-22624	115	2	today	today	NOUN
fcis-22624	115	3	's	's	PART
fcis-22624	115	4	increasingly	increasingly	ADV
fcis-22624	115	5	frequent	frequent	ADJ
fcis-22624	115	6	extreme	extreme	ADJ
fcis-22624	115	7	weather	weather	NOUN
fcis-22624	115	8	events	event	NOUN
fcis-22624	115	9	,	,	PUNCT
fcis-22624	115	10	using	use	VERB
fcis-22624	115	11	pie	pie	NOUN
fcis-22624	115	12	charts	chart	NOUN
fcis-22624	115	13	to	to	PART
fcis-22624	115	14	show	show	VERB
fcis-22624	115	15	the	the	DET
fcis-22624	115	16	distribution	distribution	NOUN
fcis-22624	115	17	of	of	ADP
fcis-22624	115	18	tornado	tornado	NOUN
fcis-22624	115	19	levels	level	NOUN
fcis-22624	115	20	can	can	AUX
fcis-22624	115	21	help	help	VERB
fcis-22624	115	22	governments	government	NOUN
fcis-22624	115	23	,	,	PUNCT
fcis-22624	115	24	rescue	rescue	NOUN
fcis-22624	115	25	agencies	agency	NOUN
fcis-22624	115	26	,	,	PUNCT
fcis-22624	115	27	insurance	insurance	NOUN
fcis-22624	115	28	companies	company	NOUN
fcis-22624	115	29	and	and	CCONJ
fcis-22624	115	30	other	other	ADJ
fcis-22624	115	31	relevant	relevant	ADJ
fcis-22624	115	32	agencies	agency	NOUN
fcis-22624	115	33	better	well	ADV
fcis-22624	115	34	understand	understand	VERB
fcis-22624	115	35	the	the	DET
fcis-22624	115	36	characteristics	characteristic	NOUN
fcis-22624	115	37	and	and	CCONJ
fcis-22624	115	38	patterns	pattern	NOUN
fcis-22624	115	39	of	of	ADP
fcis-22624	115	40	tornado	tornado	NOUN
fcis-22624	115	41	events	event	NOUN
fcis-22624	115	42	,	,	PUNCT
fcis-22624	115	43	so	so	SCONJ
fcis-22624	115	44	as	as	SCONJ
fcis-22624	115	45	to	to	PART
fcis-22624	115	46	formulate	formulate	VERB
fcis-22624	115	47	more	more	ADV
fcis-22624	115	48	effective	effective	ADJ
fcis-22624	115	49	prevention	prevention	NOUN
fcis-22624	115	50	,	,	PUNCT
fcis-22624	115	51	response	response	NOUN
fcis-22624	115	52	and	and	CCONJ
fcis-22624	115	53	recovery	recovery	NOUN
fcis-22624	115	54	measures	measure	NOUN
fcis-22624	115	55	[	[	X
fcis-22624	115	56	6	6	NUM
fcis-22624	115	57	]	]	PUNCT
fcis-22624	115	58	.	.	PUNCT
fcis-22624	116	1	in	in	ADP
fcis-22624	116	2	this	this	DET
fcis-22624	116	3	model	model	NOUN
fcis-22624	116	4	,	,	PUNCT
fcis-22624	116	5	we	we	PRON
fcis-22624	116	6	focus	focus	VERB
fcis-22624	116	7	on	on	ADP
fcis-22624	116	8	the	the	DET
fcis-22624	116	9	fujita	fujita	NOUN
fcis-22624	116	10	scale	scale	NOUN
fcis-22624	116	11	of	of	ADP
fcis-22624	116	12	tornadoes	tornado	NOUN
fcis-22624	116	13	a	a	DET
fcis-22624	116	14	measure	measure	NOUN
fcis-22624	116	15	of	of	ADP
fcis-22624	116	16	tornado	tornado	NOUN
fcis-22624	116	17	intensity	intensity	NOUN
fcis-22624	116	18	,	,	PUNCT
fcis-22624	116	19	and	and	CCONJ
fcis-22624	116	20	by	by	ADP
fcis-22624	116	21	calculating	calculate	VERB
fcis-22624	116	22	the	the	DET
fcis-22624	116	23	number	number	NOUN
fcis-22624	116	24	of	of	ADP
fcis-22624	116	25	events	event	NOUN
fcis-22624	116	26	under	under	ADP
fcis-22624	116	27	each	each	DET
fcis-22624	116	28	criterion	criterion	NOUN
fcis-22624	116	29	and	and	CCONJ
fcis-22624	116	30	converting	convert	VERB
fcis-22624	116	31	it	it	PRON
fcis-22624	116	32	into	into	ADP
fcis-22624	116	33	percentages	percentage	NOUN
fcis-22624	116	34	,	,	PUNCT
fcis-22624	116	35	we	we	PRON
fcis-22624	116	36	can	can	AUX
fcis-22624	116	37	get	get	VERB
fcis-22624	116	38	a	a	DET
fcis-22624	116	39	clear	clear	ADJ
fcis-22624	116	40	picture	picture	NOUN
fcis-22624	116	41	of	of	ADP
fcis-22624	116	42	the	the	DET
fcis-22624	116	43	relative	relative	ADJ
fcis-22624	116	44	frequency	frequency	NOUN
fcis-22624	116	45	of	of	ADP
fcis-22624	116	46	tornado	tornado	NOUN
fcis-22624	116	47	events	event	NOUN
fcis-22624	116	48	under	under	ADP
fcis-22624	116	49	each	each	DET
fcis-22624	116	50	criterion	criterion	NOUN
fcis-22624	116	51	.	.	PUNCT
fcis-22624	117	1	to	to	PART
fcis-22624	117	2	help	help	VERB
fcis-22624	117	3	us	we	PRON
fcis-22624	117	4	identify	identify	VERB
fcis-22624	117	5	which	which	DET
fcis-22624	117	6	types	type	NOUN
fcis-22624	117	7	of	of	ADP
fcis-22624	117	8	tornado	tornado	NOUN
fcis-22624	117	9	damage	damage	NOUN
fcis-22624	117	10	are	be	AUX
fcis-22624	117	11	most	most	ADV
fcis-22624	117	12	prevalent	prevalent	ADJ
fcis-22624	117	13	and	and	CCONJ
fcis-22624	117	14	provide	provide	VERB
fcis-22624	117	15	recommendations	recommendation	NOUN
fcis-22624	117	16	and	and	CCONJ
fcis-22624	117	17	plans	plan	NOUN
fcis-22624	117	18	for	for	ADP
fcis-22624	117	19	different	different	ADJ
fcis-22624	117	20	types	type	NOUN
fcis-22624	117	21	of	of	ADP
fcis-22624	117	22	tornadoes	tornado	NOUN
fcis-22624	117	23	to	to	PART
fcis-22624	117	24	help	help	VERB
fcis-22624	117	25	residents	resident	NOUN
fcis-22624	117	26	and	and	CCONJ
fcis-22624	117	27	institutions	institution	NOUN
fcis-22624	117	28	prepare	prepare	VERB
fcis-22624	117	29	for	for	ADP
fcis-22624	117	30	and	and	CCONJ
fcis-22624	117	31	respond	respond	VERB
fcis-22624	117	32	.	.	PUNCT
fcis-22624	118	1	figure	figure	VERB
fcis-22624	118	2	6	6	NUM
fcis-22624	118	3	.	.	PUNCT
fcis-22624	119	1	distribution	distribution	NOUN
fcis-22624	119	2	of	of	ADP
fcis-22624	119	3	damage	damage	NOUN
fcis-22624	119	4	levels	level	NOUN
fcis-22624	119	5	across	across	ADP
fcis-22624	119	6	all	all	DET
fcis-22624	119	7	regions	region	NOUN
fcis-22624	119	8	the	the	DET
fcis-22624	119	9	pie	pie	NOUN
fcis-22624	119	10	chart	chart	NOUN
fcis-22624	119	11	in	in	ADP
fcis-22624	119	12	figure	figure	NOUN
fcis-22624	119	13	6	6	NUM
fcis-22624	119	14	shows	show	VERB
fcis-22624	119	15	the	the	DET
fcis-22624	119	16	distribution	distribution	NOUN
fcis-22624	119	17	of	of	ADP
fcis-22624	119	18	different	different	ADJ
fcis-22624	119	19	levels	level	NOUN
fcis-22624	119	20	of	of	ADP
fcis-22624	119	21	tornadoes	tornado	NOUN
fcis-22624	119	22	in	in	ADP
fcis-22624	119	23	each	each	DET
fcis-22624	119	24	region	region	NOUN
fcis-22624	119	25	,	,	PUNCT
fcis-22624	119	26	which	which	PRON
fcis-22624	119	27	can	can	AUX
fcis-22624	119	28	help	help	VERB
fcis-22624	119	29	us	we	PRON
fcis-22624	119	30	understand	understand	VERB
fcis-22624	119	31	the	the	DET
fcis-22624	119	32	level	level	NOUN
fcis-22624	119	33	of	of	ADP
fcis-22624	119	34	tornado	tornado	NOUN
fcis-22624	119	35	risk	risk	NOUN
fcis-22624	119	36	that	that	SCONJ
fcis-22624	119	37	different	different	ADJ
fcis-22624	119	38	regions	region	NOUN
fcis-22624	119	39	face	face	VERB
fcis-22624	119	40	.	.	PUNCT
fcis-22624	120	1	according	accord	VERB
fcis-22624	120	2	to	to	ADP
fcis-22624	120	3	fujita	fujita	PROPN
fcis-22624	120	4	scale	scale	PROPN
fcis-22624	120	5	,	,	PUNCT
fcis-22624	120	6	f0	f0	PROPN
fcis-22624	120	7	is	be	AUX
fcis-22624	120	8	the	the	DET
fcis-22624	120	9	weakest	weak	ADJ
fcis-22624	120	10	tornado	tornado	NOUN
fcis-22624	120	11	,	,	PUNCT
fcis-22624	120	12	while	while	SCONJ
fcis-22624	120	13	f4	f4	ADJ
fcis-22624	120	14	and	and	CCONJ
fcis-22624	120	15	f5	f5	NOUN
fcis-22624	120	16	are	be	AUX
fcis-22624	120	17	the	the	DET
fcis-22624	120	18	strongest	strong	ADJ
fcis-22624	120	19	.	.	PUNCT
fcis-22624	121	1	the	the	DET
fcis-22624	121	2	most	most	ADV
fcis-22624	121	3	recorded	record	VERB
fcis-22624	121	4	events	event	NOUN
fcis-22624	121	5	belong	belong	VERB
fcis-22624	121	6	63	63	NUM
fcis-22624	121	7	to	to	ADP
fcis-22624	121	8	lower	low	ADJ
fcis-22624	121	9	-	-	PUNCT
fcis-22624	121	10	grade	grade	NOUN
fcis-22624	121	11	tornadoes	tornado	NOUN
fcis-22624	121	12	(	(	PUNCT
fcis-22624	121	13	e.g.	e.g.	ADV
fcis-22624	121	14	,	,	PUNCT
fcis-22624	121	15	fo	fo	ADJ
fcis-22624	121	16	)	)	PUNCT
fcis-22624	121	17	,	,	PUNCT
fcis-22624	121	18	while	while	SCONJ
fcis-22624	121	19	highergrade	highergrade	ADJ
fcis-22624	121	20	tornadoes	tornado	NOUN
fcis-22624	121	21	such	such	ADJ
fcis-22624	121	22	as	as	ADP
fcis-22624	121	23	f4	f4	NOUN
fcis-22624	121	24	and	and	CCONJ
fcis-22624	121	25	f5	f5	NOUN
fcis-22624	121	26	are	be	AUX
fcis-22624	121	27	rarer	rare	ADJ
fcis-22624	121	28	.	.	PUNCT
fcis-22624	122	1	this	this	DET
fcis-22624	122	2	kind	kind	NOUN
fcis-22624	122	3	of	of	ADP
fcis-22624	122	4	information	information	NOUN
fcis-22624	122	5	is	be	AUX
fcis-22624	122	6	important	important	ADJ
fcis-22624	122	7	for	for	ADP
fcis-22624	122	8	optimizing	optimize	VERB
fcis-22624	122	9	resource	resource	NOUN
fcis-22624	122	10	allocation	allocation	NOUN
fcis-22624	122	11	.	.	PUNCT
fcis-22624	123	1	for	for	ADP
fcis-22624	123	2	example	example	NOUN
fcis-22624	123	3	,	,	PUNCT
fcis-22624	123	4	in	in	ADP
fcis-22624	123	5	areas	area	NOUN
fcis-22624	123	6	that	that	PRON
fcis-22624	123	7	are	be	AUX
fcis-22624	123	8	frequently	frequently	ADV
fcis-22624	123	9	hit	hit	VERB
fcis-22624	123	10	by	by	ADP
fcis-22624	123	11	highlevel	highlevel	ADJ
fcis-22624	123	12	tornadoes	tornado	NOUN
fcis-22624	123	13	,	,	PUNCT
fcis-22624	123	14	increased	increase	VERB
fcis-22624	123	15	construction	construction	NOUN
fcis-22624	123	16	intensity	intensity	NOUN
fcis-22624	123	17	or	or	CCONJ
fcis-22624	123	18	improved	improve	VERB
fcis-22624	123	19	early	early	ADJ
fcis-22624	123	20	warning	warning	NOUN
fcis-22624	123	21	systems	system	NOUN
fcis-22624	123	22	may	may	AUX
fcis-22624	123	23	be	be	AUX
fcis-22624	123	24	needed	need	VERB
fcis-22624	123	25	to	to	PART
fcis-22624	123	26	reduce	reduce	VERB
fcis-22624	123	27	damage	damage	NOUN
fcis-22624	123	28	and	and	CCONJ
fcis-22624	123	29	safeguard	safeguard	VERB
fcis-22624	123	30	public	public	ADJ
fcis-22624	123	31	safety	safety	NOUN
fcis-22624	123	32	.	.	PUNCT
fcis-22624	124	1	3.4	3.4	NUM
fcis-22624	124	2	.	.	PUNCT
fcis-22624	125	1	the	the	DET
fcis-22624	125	2	impact	impact	NOUN
fcis-22624	125	3	of	of	ADP
fcis-22624	125	4	extreme	extreme	ADJ
fcis-22624	125	5	weather	weather	NOUN
fcis-22624	125	6	events	event	NOUN
fcis-22624	125	7	caused	cause	VERB
fcis-22624	125	8	by	by	ADP
fcis-22624	125	9	climate	climate	NOUN
fcis-22624	125	10	change	change	NOUN
fcis-22624	125	11	on	on	ADP
fcis-22624	125	12	communities	community	NOUN
fcis-22624	125	13	as	as	SCONJ
fcis-22624	125	14	climate	climate	NOUN
fcis-22624	125	15	change	change	NOUN
fcis-22624	125	16	causes	cause	VERB
fcis-22624	125	17	extreme	extreme	ADJ
fcis-22624	125	18	weather	weather	NOUN
fcis-22624	125	19	events	event	NOUN
fcis-22624	125	20	to	to	PART
fcis-22624	125	21	occur	occur	VERB
fcis-22624	125	22	more	more	ADV
fcis-22624	125	23	frequently	frequently	ADV
fcis-22624	125	24	and	and	CCONJ
fcis-22624	125	25	have	have	VERB
fcis-22624	125	26	a	a	DET
fcis-22624	125	27	significant	significant	ADJ
fcis-22624	125	28	impact	impact	NOUN
fcis-22624	125	29	on	on	ADP
fcis-22624	125	30	communities	community	NOUN
fcis-22624	125	31	,	,	PUNCT
fcis-22624	125	32	local	local	ADJ
fcis-22624	125	33	governments	government	NOUN
fcis-22624	125	34	need	need	VERB
fcis-22624	125	35	to	to	PART
fcis-22624	125	36	optimize	optimize	VERB
fcis-22624	125	37	emergency	emergency	NOUN
fcis-22624	125	38	preparedness	preparedness	NOUN
fcis-22624	125	39	and	and	CCONJ
fcis-22624	125	40	resource	resource	NOUN
fcis-22624	125	41	allocation	allocation	NOUN
fcis-22624	125	42	based	base	VERB
fcis-22624	125	43	on	on	ADP
fcis-22624	125	44	historical	historical	ADJ
fcis-22624	125	45	data	datum	NOUN
fcis-22624	125	46	.	.	PUNCT
fcis-22624	126	1	alabama	alabama	PROPN
fcis-22624	126	2	,	,	PUNCT
fcis-22624	126	3	located	locate	VERB
fcis-22624	126	4	in	in	ADP
fcis-22624	126	5	the	the	DET
fcis-22624	126	6	southeastern	southeastern	ADJ
fcis-22624	126	7	part	part	NOUN
fcis-22624	126	8	of	of	ADP
fcis-22624	126	9	the	the	DET
fcis-22624	126	10	united	united	PROPN
fcis-22624	126	11	states	states	PROPN
fcis-22624	126	12	,	,	PUNCT
fcis-22624	126	13	can	can	AUX
fcis-22624	126	14	face	face	VERB
fcis-22624	126	15	several	several	ADJ
fcis-22624	126	16	meteorological	meteorological	ADJ
fcis-22624	126	17	disasters	disaster	NOUN
fcis-22624	126	18	such	such	ADJ
fcis-22624	126	19	as	as	ADP
fcis-22624	126	20	tornadoes	tornado	NOUN
fcis-22624	126	21	,	,	PUNCT
fcis-22624	126	22	floods	flood	NOUN
fcis-22624	126	23	,	,	PUNCT
fcis-22624	126	24	and	and	CCONJ
fcis-22624	126	25	storms	storm	NOUN
fcis-22624	126	26	.	.	PUNCT
fcis-22624	127	1	by	by	ADP
fcis-22624	127	2	understanding	understand	VERB
fcis-22624	127	3	the	the	DET
fcis-22624	127	4	historical	historical	ADJ
fcis-22624	127	5	data	datum	NOUN
fcis-22624	127	6	of	of	ADP
fcis-22624	127	7	these	these	DET
fcis-22624	127	8	natural	natural	ADJ
fcis-22624	127	9	disasters	disaster	NOUN
fcis-22624	127	10	,	,	PUNCT
fcis-22624	127	11	we	we	PRON
fcis-22624	127	12	can	can	AUX
fcis-22624	127	13	better	well	ADV
fcis-22624	127	14	understand	understand	VERB
fcis-22624	127	15	their	their	PRON
fcis-22624	127	16	frequency	frequency	NOUN
fcis-22624	127	17	and	and	CCONJ
fcis-22624	127	18	impact	impact	NOUN
fcis-22624	127	19	,	,	PUNCT
fcis-22624	127	20	so	so	SCONJ
fcis-22624	127	21	that	that	SCONJ
fcis-22624	127	22	we	we	PRON
fcis-22624	127	23	can	can	AUX
fcis-22624	127	24	develop	develop	VERB
fcis-22624	127	25	sound	sound	ADJ
fcis-22624	127	26	plans	plan	NOUN
fcis-22624	127	27	,	,	PUNCT
fcis-22624	127	28	including	include	VERB
fcis-22624	127	29	budgeting	budgeting	NOUN
fcis-22624	127	30	,	,	PUNCT
fcis-22624	127	31	infrastructure	infrastructure	NOUN
fcis-22624	127	32	planning	planning	NOUN
fcis-22624	127	33	,	,	PUNCT
fcis-22624	127	34	and	and	CCONJ
fcis-22624	127	35	public	public	ADJ
fcis-22624	127	36	education	education	NOUN
fcis-22624	127	37	activities	activity	NOUN
fcis-22624	127	38	,	,	PUNCT
fcis-22624	127	39	to	to	PART
fcis-22624	127	40	reduce	reduce	VERB
fcis-22624	127	41	damage	damage	NOUN
fcis-22624	127	42	and	and	CCONJ
fcis-22624	127	43	improve	improve	VERB
fcis-22624	127	44	public	public	ADJ
fcis-22624	127	45	safety	safety	NOUN
fcis-22624	127	46	.	.	PUNCT
fcis-22624	128	1	this	this	DET
fcis-22624	128	2	work	work	NOUN
fcis-22624	128	3	is	be	AUX
fcis-22624	128	4	crucial	crucial	ADJ
fcis-22624	128	5	because	because	SCONJ
fcis-22624	128	6	it	it	PRON
fcis-22624	128	7	helps	help	VERB
fcis-22624	128	8	ensure	ensure	VERB
fcis-22624	128	9	that	that	SCONJ
fcis-22624	128	10	communities	community	NOUN
fcis-22624	128	11	are	be	AUX
fcis-22624	128	12	better	well	ADJ
fcis-22624	128	13	able	able	ADJ
fcis-22624	128	14	to	to	PART
fcis-22624	128	15	cope	cope	VERB
fcis-22624	128	16	and	and	CCONJ
fcis-22624	128	17	recover	recover	VERB
fcis-22624	128	18	in	in	ADP
fcis-22624	128	19	the	the	DET
fcis-22624	128	20	face	face	NOUN
fcis-22624	128	21	of	of	ADP
fcis-22624	128	22	natural	natural	ADJ
fcis-22624	128	23	disasters	disaster	NOUN
fcis-22624	128	24	.	.	PUNCT
fcis-22624	129	1	figure	figure	VERB
fcis-22624	129	2	7	7	NUM
fcis-22624	129	3	.	.	PUNCT
fcis-22624	130	1	the	the	DET
fcis-22624	130	2	top	top	ADJ
fcis-22624	130	3	10	10	NUM
fcis-22624	130	4	worst	worst	ADV
fcis-22624	130	5	-	-	PUNCT
fcis-22624	130	6	hit	hit	VERB
fcis-22624	130	7	regions	region	NOUN
fcis-22624	130	8	figure	figure	VERB
fcis-22624	130	9	8	8	NUM
fcis-22624	130	10	.	.	PUNCT
fcis-22624	131	1	the	the	DET
fcis-22624	131	2	frequency	frequency	NOUN
fcis-22624	131	3	of	of	ADP
fcis-22624	131	4	different	different	ADJ
fcis-22624	131	5	types	type	NOUN
fcis-22624	131	6	of	of	ADP
fcis-22624	131	7	events	event	NOUN
fcis-22624	131	8	in	in	ADP
fcis-22624	131	9	the	the	DET
fcis-22624	131	10	state	state	NOUN
fcis-22624	131	11	of	of	ADP
fcis-22624	131	12	alabama	alabama	PROPN
fcis-22624	131	13	firstly	firstly	ADV
fcis-22624	131	14	,	,	PUNCT
fcis-22624	131	15	filters	filter	VERB
fcis-22624	131	16	out	out	ADP
fcis-22624	131	17	the	the	DET
fcis-22624	131	18	data	datum	NOUN
fcis-22624	131	19	related	relate	VERB
fcis-22624	131	20	to	to	ADP
fcis-22624	131	21	alabama	alabama	PROPN
fcis-22624	131	22	,	,	PUNCT
fcis-22624	131	23	then	then	ADV
fcis-22624	131	24	sorts	sort	VERB
fcis-22624	131	25	it	it	PRON
fcis-22624	131	26	by	by	ADP
fcis-22624	131	27	different	different	ADJ
fcis-22624	131	28	event	event	NOUN
fcis-22624	131	29	types	type	NOUN
fcis-22624	131	30	and	and	CCONJ
fcis-22624	131	31	counts	count	VERB
fcis-22624	131	32	the	the	DET
fcis-22624	131	33	number	number	NOUN
fcis-22624	131	34	of	of	ADP
fcis-22624	131	35	events	event	NOUN
fcis-22624	131	36	of	of	ADP
fcis-22624	131	37	each	each	DET
fcis-22624	131	38	type	type	NOUN
fcis-22624	131	39	.	.	PUNCT
fcis-22624	132	1	by	by	ADP
fcis-22624	132	2	sorting	sort	VERB
fcis-22624	132	3	by	by	ADP
fcis-22624	132	4	the	the	DET
fcis-22624	132	5	number	number	NOUN
fcis-22624	132	6	of	of	ADP
fcis-22624	132	7	events	event	NOUN
fcis-22624	132	8	from	from	ADP
fcis-22624	132	9	largest	large	ADJ
fcis-22624	132	10	to	to	AUX
fcis-22624	132	11	smallest	small	ADJ
fcis-22624	132	12	,	,	PUNCT
fcis-22624	132	13	we	we	PRON
fcis-22624	132	14	were	be	AUX
fcis-22624	132	15	able	able	ADJ
fcis-22624	132	16	to	to	PART
fcis-22624	132	17	quickly	quickly	ADV
fcis-22624	132	18	identify	identify	VERB
fcis-22624	132	19	the	the	DET
fcis-22624	132	20	types	type	NOUN
fcis-22624	132	21	of	of	ADP
fcis-22624	132	22	weather	weather	NOUN
fcis-22624	132	23	events	event	NOUN
fcis-22624	132	24	that	that	PRON
fcis-22624	132	25	occurred	occur	VERB
fcis-22624	132	26	most	most	ADV
fcis-22624	132	27	frequently	frequently	ADV
fcis-22624	132	28	within	within	ADP
fcis-22624	132	29	alabama	alabama	PROPN
fcis-22624	132	30	.	.	PUNCT
fcis-22624	133	1	in	in	ADP
fcis-22624	133	2	order	order	NOUN
fcis-22624	133	3	to	to	PART
fcis-22624	133	4	visualize	visualize	VERB
fcis-22624	133	5	the	the	DET
fcis-22624	133	6	relative	relative	ADJ
fcis-22624	133	7	frequency	frequency	NOUN
fcis-22624	133	8	of	of	ADP
fcis-22624	133	9	various	various	ADJ
fcis-22624	133	10	events	event	NOUN
fcis-22624	133	11	,	,	PUNCT
fcis-22624	133	12	and	and	CCONJ
fcis-22624	133	13	to	to	PART
fcis-22624	133	14	facilitate	facilitate	VERB
fcis-22624	133	15	comparison	comparison	NOUN
fcis-22624	133	16	and	and	CCONJ
fcis-22624	133	17	interpretation	interpretation	NOUN
fcis-22624	133	18	,	,	PUNCT
fcis-22624	133	19	we	we	PRON
fcis-22624	133	20	chose	choose	VERB
fcis-22624	133	21	a	a	DET
fcis-22624	133	22	bar	bar	NOUN
fcis-22624	133	23	chart	chart	NOUN
fcis-22624	133	24	as	as	ADP
fcis-22624	133	25	an	an	DET
fcis-22624	133	26	analysis	analysis	NOUN
fcis-22624	133	27	tool	tool	NOUN
fcis-22624	133	28	.	.	PUNCT
fcis-22624	134	1	the	the	DET
fcis-22624	134	2	model	model	NOUN
fcis-22624	134	3	leverages	leverage	VERB
fcis-22624	134	4	datasets	dataset	NOUN
fcis-22624	134	5	of	of	ADP
fcis-22624	134	6	historical	historical	ADJ
fcis-22624	134	7	meteorological	meteorological	ADJ
fcis-22624	134	8	events	event	NOUN
fcis-22624	134	9	directly	directly	ADV
fcis-22624	134	10	,	,	PUNCT
fcis-22624	134	11	and	and	CCONJ
fcis-22624	134	12	instead	instead	ADV
fcis-22624	134	13	of	of	ADP
fcis-22624	134	14	complex	complex	ADJ
fcis-22624	134	15	math	math	NOUN
fcis-22624	134	16	,	,	PUNCT
fcis-22624	134	17	data	datum	NOUN
fcis-22624	134	18	aggregation	aggregation	NOUN
fcis-22624	134	19	is	be	AUX
fcis-22624	134	20	used	use	VERB
fcis-22624	134	21	to	to	PART
fcis-22624	134	22	provide	provide	VERB
fcis-22624	134	23	insights	insight	NOUN
fcis-22624	134	24	.	.	PUNCT
fcis-22624	135	1	by	by	ADP
fcis-22624	135	2	consolidating	consolidate	VERB
fcis-22624	135	3	massive	massive	ADJ
fcis-22624	135	4	data	datum	NOUN
fcis-22624	135	5	points	point	NOUN
fcis-22624	135	6	into	into	ADP
fcis-22624	135	7	a	a	DET
fcis-22624	135	8	few	few	ADJ
fcis-22624	135	9	core	core	NOUN
fcis-22624	135	10	metrics	metric	NOUN
fcis-22624	135	11	,	,	PUNCT
fcis-22624	135	12	i.e.	i.e.	X
fcis-22624	135	13	,	,	PUNCT
fcis-22624	135	14	the	the	DET
fcis-22624	135	15	frequency	frequency	NOUN
fcis-22624	135	16	of	of	ADP
fcis-22624	135	17	various	various	ADJ
fcis-22624	135	18	events	event	NOUN
fcis-22624	135	19	as	as	SCONJ
fcis-22624	135	20	shown	show	VERB
fcis-22624	135	21	in	in	ADP
fcis-22624	135	22	figure	figure	NOUN
fcis-22624	135	23	7	7	NUM
fcis-22624	135	24	and	and	CCONJ
fcis-22624	135	25	figure	figure	VERB
fcis-22624	135	26	8	8	NUM
fcis-22624	135	27	,	,	PUNCT
fcis-22624	135	28	it	it	PRON
fcis-22624	135	29	provides	provide	VERB
fcis-22624	135	30	intuitive	intuitive	ADJ
fcis-22624	135	31	and	and	CCONJ
fcis-22624	135	32	practical	practical	ADJ
fcis-22624	135	33	information	information	NOUN
fcis-22624	135	34	for	for	ADP
fcis-22624	135	35	decisionmakers	decisionmaker	NOUN
fcis-22624	135	36	.	.	PUNCT
fcis-22624	136	1	the	the	DET
fcis-22624	136	2	results	result	NOUN
fcis-22624	136	3	of	of	ADP
fcis-22624	136	4	this	this	DET
fcis-22624	136	5	analysis	analysis	NOUN
fcis-22624	136	6	have	have	VERB
fcis-22624	136	7	important	important	ADJ
fcis-22624	136	8	reference	reference	NOUN
fcis-22624	136	9	value	value	NOUN
fcis-22624	136	10	for	for	ADP
fcis-22624	136	11	local	local	ADJ
fcis-22624	136	12	government	government	NOUN
fcis-22624	136	13	policy	policy	NOUN
fcis-22624	136	14	formulation	formulation	NOUN
fcis-22624	136	15	and	and	CCONJ
fcis-22624	136	16	planning	planning	NOUN
fcis-22624	136	17	discussions	discussion	NOUN
fcis-22624	136	18	.	.	PUNCT
fcis-22624	137	1	it	it	PRON
fcis-22624	137	2	reveals	reveal	VERB
fcis-22624	137	3	which	which	PRON
fcis-22624	137	4	weather	weather	NOUN
fcis-22624	137	5	events	event	NOUN
fcis-22624	137	6	to	to	PART
fcis-22624	137	7	focus	focus	VERB
fcis-22624	137	8	on	on	ADP
fcis-22624	137	9	in	in	ADP
fcis-22624	137	10	alabama	alabama	PROPN
fcis-22624	137	11	and	and	CCONJ
fcis-22624	137	12	what	what	PRON
fcis-22624	137	13	specific	specific	ADJ
fcis-22624	137	14	responses	response	NOUN
fcis-22624	137	15	may	may	AUX
fcis-22624	137	16	be	be	AUX
fcis-22624	137	17	needed	need	VERB
fcis-22624	137	18	.	.	PUNCT
fcis-22624	138	1	for	for	ADP
fcis-22624	138	2	example	example	NOUN
fcis-22624	138	3	,	,	PUNCT
fcis-22624	138	4	if	if	SCONJ
fcis-22624	138	5	there	there	PRON
fcis-22624	138	6	are	be	VERB
fcis-22624	138	7	significantly	significantly	ADV
fcis-22624	138	8	more	more	ADJ
fcis-22624	138	9	incidents	incident	NOUN
fcis-22624	138	10	in	in	ADP
fcis-22624	138	11	one	one	NUM
fcis-22624	138	12	type	type	NOUN
fcis-22624	138	13	than	than	ADP
fcis-22624	138	14	others	other	NOUN
fcis-22624	138	15	,	,	PUNCT
fcis-22624	138	16	then	then	ADV
fcis-22624	138	17	more	more	ADV
fcis-22624	138	18	targeted	targeted	ADJ
fcis-22624	138	19	education	education	NOUN
fcis-22624	138	20	programs	program	NOUN
fcis-22624	138	21	or	or	CCONJ
fcis-22624	138	22	additional	additional	ADJ
fcis-22624	138	23	safeguards	safeguard	NOUN
fcis-22624	138	24	may	may	AUX
fcis-22624	138	25	be	be	AUX
fcis-22624	138	26	needed	need	VERB
fcis-22624	138	27	in	in	ADP
fcis-22624	138	28	urban	urban	ADJ
fcis-22624	138	29	planning	planning	NOUN
fcis-22624	138	30	.	.	PUNCT
fcis-22624	139	1	overall	overall	ADV
fcis-22624	139	2	,	,	PUNCT
fcis-22624	139	3	this	this	DET
fcis-22624	139	4	databased	database	VERB
fcis-22624	139	5	approach	approach	NOUN
fcis-22624	139	6	to	to	ADP
fcis-22624	139	7	analysis	analysis	NOUN
fcis-22624	139	8	provides	provide	VERB
fcis-22624	139	9	a	a	DET
fcis-22624	139	10	solid	solid	ADJ
fcis-22624	139	11	foundation	foundation	NOUN
fcis-22624	139	12	for	for	ADP
fcis-22624	139	13	local	local	ADJ
fcis-22624	139	14	governments	government	NOUN
fcis-22624	139	15	to	to	PART
fcis-22624	139	16	develop	develop	VERB
fcis-22624	139	17	more	more	ADV
fcis-22624	139	18	precise	precise	ADJ
fcis-22624	139	19	and	and	CCONJ
fcis-22624	139	20	efficient	efficient	ADJ
fcis-22624	139	21	policies	policy	NOUN
fcis-22624	139	22	and	and	CCONJ
fcis-22624	139	23	plans	plan	NOUN
fcis-22624	139	24	.	.	PUNCT
fcis-22624	140	1	4	4	X
fcis-22624	140	2	.	.	X
fcis-22624	140	3	conclusion	conclusion	NOUN
fcis-22624	140	4	this	this	DET
fcis-22624	140	5	study	study	NOUN
fcis-22624	140	6	provides	provide	VERB
fcis-22624	140	7	insights	insight	NOUN
fcis-22624	140	8	into	into	ADP
fcis-22624	140	9	the	the	DET
fcis-22624	140	10	challenges	challenge	NOUN
fcis-22624	140	11	and	and	CCONJ
fcis-22624	140	12	coping	cope	VERB
fcis-22624	140	13	strategies	strategy	NOUN
fcis-22624	140	14	of	of	ADP
fcis-22624	140	15	the	the	DET
fcis-22624	140	16	property	property	NOUN
fcis-22624	140	17	insurance	insurance	NOUN
fcis-22624	140	18	industry	industry	NOUN
fcis-22624	140	19	in	in	ADP
fcis-22624	140	20	the	the	DET
fcis-22624	140	21	face	face	NOUN
fcis-22624	140	22	of	of	ADP
fcis-22624	140	23	increasing	increase	VERB
fcis-22624	140	24	extreme	extreme	ADJ
fcis-22624	140	25	weather	weather	NOUN
fcis-22624	140	26	events	event	NOUN
fcis-22624	140	27	by	by	ADP
fcis-22624	140	28	using	use	VERB
fcis-22624	140	29	arima	arima	PROPN
fcis-22624	140	30	and	and	CCONJ
fcis-22624	140	31	cgdam	cgdam	NOUN
fcis-22624	140	32	-	-	PUNCT
fcis-22624	140	33	wrir	wrir	NOUN
fcis-22624	140	34	models	model	NOUN
fcis-22624	140	35	.	.	PUNCT
fcis-22624	141	1	the	the	DET
fcis-22624	141	2	application	application	NOUN
fcis-22624	141	3	of	of	ADP
fcis-22624	141	4	arima	arima	PROPN
fcis-22624	141	5	modeling	modeling	NOUN
fcis-22624	141	6	helps	help	VERB
fcis-22624	141	7	us	we	PRON
fcis-22624	141	8	to	to	PART
fcis-22624	141	9	assess	assess	VERB
fcis-22624	141	10	the	the	DET
fcis-22624	141	11	potential	potential	ADJ
fcis-22624	141	12	losses	loss	NOUN
fcis-22624	141	13	that	that	PRON
fcis-22624	141	14	may	may	AUX
fcis-22624	141	15	be	be	AUX
fcis-22624	141	16	caused	cause	VERB
fcis-22624	141	17	by	by	ADP
fcis-22624	141	18	future	future	ADJ
fcis-22624	141	19	extreme	extreme	ADJ
fcis-22624	141	20	weather	weather	NOUN
fcis-22624	141	21	events	event	NOUN
fcis-22624	141	22	,	,	PUNCT
fcis-22624	141	23	predict	predict	VERB
fcis-22624	141	24	the	the	DET
fcis-22624	141	25	mortality	mortality	NOUN
fcis-22624	141	26	rate	rate	NOUN
fcis-22624	141	27	,	,	PUNCT
fcis-22624	141	28	and	and	CCONJ
fcis-22624	141	29	evaluate	evaluate	VERB
fcis-22624	141	30	the	the	DET
fcis-22624	141	31	impacts	impact	NOUN
fcis-22624	141	32	of	of	ADP
fcis-22624	141	33	tornadoes	tornado	NOUN
fcis-22624	141	34	of	of	ADP
fcis-22624	141	35	varying	vary	VERB
fcis-22624	141	36	intensities	intensity	NOUN
fcis-22624	141	37	in	in	ADP
fcis-22624	141	38	different	different	ADJ
fcis-22624	141	39	regions	region	NOUN
fcis-22624	141	40	,	,	PUNCT
fcis-22624	141	41	which	which	PRON
fcis-22624	141	42	provides	provide	VERB
fcis-22624	141	43	an	an	DET
fcis-22624	141	44	important	important	ADJ
fcis-22624	141	45	reference	reference	NOUN
fcis-22624	141	46	for	for	ADP
fcis-22624	141	47	risk	risk	NOUN
fcis-22624	141	48	management	management	NOUN
fcis-22624	141	49	and	and	CCONJ
fcis-22624	141	50	underwriting	underwriting	NOUN
fcis-22624	141	51	strategy	strategy	NOUN
fcis-22624	141	52	provides	provide	VERB
fcis-22624	141	53	an	an	DET
fcis-22624	141	54	important	important	ADJ
fcis-22624	141	55	reference	reference	NOUN
fcis-22624	141	56	.	.	PUNCT
fcis-22624	142	1	meanwhile	meanwhile	ADV
fcis-22624	142	2	,	,	PUNCT
fcis-22624	142	3	the	the	DET
fcis-22624	142	4	application	application	NOUN
fcis-22624	142	5	of	of	ADP
fcis-22624	142	6	the	the	DET
fcis-22624	142	7	cgdam	cgdam	NOUN
fcis-22624	142	8	-	-	PUNCT
fcis-22624	142	9	wrir	wrir	NOUN
fcis-22624	142	10	model	model	NOUN
fcis-22624	142	11	reveals	reveal	VERB
fcis-22624	142	12	the	the	DET
fcis-22624	142	13	significant	significant	ADJ
fcis-22624	142	14	impact	impact	NOUN
fcis-22624	142	15	of	of	ADP
fcis-22624	142	16	climate	climate	NOUN
fcis-22624	142	17	change	change	NOUN
fcis-22624	142	18	on	on	ADP
fcis-22624	142	19	the	the	DET
fcis-22624	142	20	property	property	NOUN
fcis-22624	142	21	insurance	insurance	NOUN
fcis-22624	142	22	industry	industry	NOUN
fcis-22624	142	23	,	,	PUNCT
fcis-22624	142	24	prompting	prompt	VERB
fcis-22624	142	25	insurers	insurer	NOUN
fcis-22624	142	26	to	to	PART
fcis-22624	142	27	re	re	VERB
fcis-22624	142	28	-	-	VERB
fcis-22624	142	29	examine	examine	VERB
fcis-22624	142	30	their	their	PRON
fcis-22624	142	31	underwriting	underwriting	NOUN
fcis-22624	142	32	strategies	strategy	NOUN
fcis-22624	142	33	,	,	PUNCT
fcis-22624	142	34	especially	especially	ADV
fcis-22624	142	35	in	in	ADP
fcis-22624	142	36	high	high	ADJ
fcis-22624	142	37	-	-	PUNCT
fcis-22624	142	38	risk	risk	NOUN
fcis-22624	142	39	areas	area	NOUN
fcis-22624	142	40	.	.	PUNCT
fcis-22624	143	1	future	future	ADJ
fcis-22624	143	2	research	research	NOUN
fcis-22624	143	3	will	will	AUX
fcis-22624	143	4	continue	continue	VERB
fcis-22624	143	5	to	to	PART
fcis-22624	143	6	explore	explore	VERB
fcis-22624	143	7	more	more	ADV
fcis-22624	143	8	sophisticated	sophisticated	ADJ
fcis-22624	143	9	models	model	NOUN
fcis-22624	143	10	,	,	PUNCT
fcis-22624	143	11	address	address	VERB
fcis-22624	143	12	the	the	DET
fcis-22624	143	13	limitations	limitation	NOUN
fcis-22624	143	14	of	of	ADP
fcis-22624	143	15	cohort	cohort	NOUN
fcis-22624	143	16	theory	theory	NOUN
fcis-22624	143	17	,	,	PUNCT
fcis-22624	143	18	and	and	CCONJ
fcis-22624	143	19	integrate	integrate	VERB
fcis-22624	143	20	data	datum	NOUN
fcis-22624	143	21	from	from	ADP
fcis-22624	143	22	multiple	multiple	ADJ
fcis-22624	143	23	sources	source	NOUN
fcis-22624	143	24	to	to	PART
fcis-22624	143	25	develop	develop	VERB
fcis-22624	143	26	real	real	ADJ
fcis-22624	143	27	-	-	PUNCT
fcis-22624	143	28	time	time	NOUN
fcis-22624	143	29	predictive	predictive	ADJ
fcis-22624	143	30	models	model	NOUN
fcis-22624	143	31	.	.	PUNCT
fcis-22624	144	1	through	through	ADP
fcis-22624	144	2	continued	continue	VERB
fcis-22624	144	3	innovation	innovation	NOUN
fcis-22624	144	4	and	and	CCONJ
fcis-22624	144	5	research	research	NOUN
fcis-22624	144	6	,	,	PUNCT
fcis-22624	144	7	we	we	PRON
fcis-22624	144	8	can	can	AUX
fcis-22624	144	9	help	help	VERB
fcis-22624	144	10	the	the	DET
fcis-22624	144	11	property	property	NOUN
fcis-22624	144	12	-	-	PUNCT
fcis-22624	144	13	casualty	casualty	NOUN
fcis-22624	144	14	insurance	insurance	NOUN
fcis-22624	144	15	industry	industry	NOUN
fcis-22624	144	16	better	well	ADV
fcis-22624	144	17	manage	manage	VERB
fcis-22624	144	18	the	the	DET
fcis-22624	144	19	uncertainties	uncertainty	NOUN
fcis-22624	144	20	associated	associate	VERB
fcis-22624	144	21	with	with	ADP
fcis-22624	144	22	climate	climate	NOUN
fcis-22624	144	23	change	change	NOUN
fcis-22624	144	24	,	,	PUNCT
fcis-22624	144	25	protect	protect	VERB
fcis-22624	144	26	the	the	DET
fcis-22624	144	27	interests	interest	NOUN
fcis-22624	144	28	of	of	ADP
fcis-22624	144	29	property	property	NOUN
fcis-22624	144	30	owners	owner	NOUN
fcis-22624	144	31	,	,	PUNCT
fcis-22624	144	32	and	and	CCONJ
fcis-22624	144	33	ensure	ensure	VERB
fcis-22624	144	34	the	the	DET
fcis-22624	144	35	sustainability	sustainability	NOUN
fcis-22624	144	36	and	and	CCONJ
fcis-22624	144	37	resilience	resilience	NOUN
fcis-22624	144	38	of	of	ADP
fcis-22624	144	39	the	the	DET
fcis-22624	144	40	insurance	insurance	NOUN
fcis-22624	144	41	market	market	NOUN
fcis-22624	144	42	.	.	PUNCT
fcis-22624	145	1	references	reference	NOUN
fcis-22624	145	2	[	[	X
fcis-22624	145	3	1	1	X
fcis-22624	145	4	]	]	PUNCT
fcis-22624	145	5	the	the	DET
fcis-22624	145	6	property	property	NOUN
fcis-22624	145	7	and	and	CCONJ
fcis-22624	145	8	casualty	casualty	NOUN
fcis-22624	145	9	insurance	insurance	NOUN
fcis-22624	145	10	industry	industry	NOUN
fcis-22624	145	11	are	be	AUX
fcis-22624	145	12	facing	face	VERB
fcis-22624	145	13	unprecedented	unprecedented	ADJ
fcis-22624	145	14	challenges	challenge	NOUN
fcis-22624	145	15	as	as	ADP
fcis-22624	145	16	the	the	DET
fcis-22624	145	17	frequency	frequency	NOUN
fcis-22624	145	18	and	and	CCONJ
fcis-22624	145	19	intensity	intensity	NOUN
fcis-22624	145	20	of	of	ADP
fcis-22624	145	21	extreme	extreme	ADJ
fcis-22624	145	22	weather	weather	NOUN
fcis-22624	145	23	events	event	NOUN
fcis-22624	145	24	triggered	trigger	VERB
fcis-22624	145	25	by	by	ADP
fcis-22624	145	26	climate	climate	NOUN
fcis-22624	145	27	change	change	NOUN
fcis-22624	145	28	increases	increase	NOUN
fcis-22624	145	29	.	.	PUNCT
fcis-22624	146	1	[	[	X
fcis-22624	146	2	2	2	X
fcis-22624	146	3	]	]	PUNCT
fcis-22624	146	4	the	the	DET
fcis-22624	146	5	increased	increase	VERB
fcis-22624	146	6	frequency	frequency	NOUN
fcis-22624	146	7	and	and	CCONJ
fcis-22624	146	8	intensity	intensity	NOUN
fcis-22624	146	9	of	of	ADP
fcis-22624	146	10	extreme	extreme	ADJ
fcis-22624	146	11	weather	weather	NOUN
fcis-22624	146	12	events	event	NOUN
fcis-22624	146	13	such	such	ADJ
fcis-22624	146	14	as	as	ADP
fcis-22624	146	15	floods	flood	NOUN
fcis-22624	146	16	,	,	PUNCT
fcis-22624	146	17	hurricanes	hurricane	NOUN
fcis-22624	146	18	,	,	PUNCT
fcis-22624	146	19	and	and	CCONJ
fcis-22624	146	20	droughts	drought	NOUN
fcis-22624	146	21	have	have	AUX
fcis-22624	146	22	led	lead	VERB
fcis-22624	146	23	to	to	ADP
fcis-22624	146	24	significant	significant	ADJ
fcis-22624	146	25	property	property	NOUN
fcis-22624	146	26	damage	damage	NOUN
fcis-22624	146	27	that	that	PRON
fcis-22624	146	28	has	have	VERB
fcis-22624	146	29	a	a	DET
fcis-22624	146	30	direct	direct	ADJ
fcis-22624	146	31	impact	impact	NOUN
fcis-22624	146	32	on	on	ADP
fcis-22624	146	33	insurers	insurer	NOUN
fcis-22624	146	34	'	'	PART
fcis-22624	146	35	ability	ability	NOUN
fcis-22624	146	36	to	to	PART
fcis-22624	146	37	pay	pay	VERB
fcis-22624	146	38	and	and	CCONJ
fcis-22624	146	39	risk	risk	NOUN
fcis-22624	146	40	management	management	NOUN
fcis-22624	146	41	strategies	strategy	NOUN
fcis-22624	146	42	.	.	PUNCT
fcis-22624	147	1	[	[	X
fcis-22624	147	2	3	3	X
fcis-22624	147	3	]	]	X
fcis-22624	147	4	kumar	kumar	PROPN
fcis-22624	147	5	s	s	PROPN
fcis-22624	147	6	v	v	PROPN
fcis-22624	147	7	,	,	PUNCT
fcis-22624	147	8	vanajakshi	vanajakshi	PROPN
fcis-22624	147	9	l.	l.	PROPN
fcis-22624	147	10	short	short	ADJ
fcis-22624	147	11	-	-	PUNCT
fcis-22624	147	12	term	term	NOUN
fcis-22624	147	13	traffic	traffic	NOUN
fcis-22624	147	14	flow	flow	NOUN
fcis-22624	147	15	prediction	prediction	NOUN
fcis-22624	147	16	using	use	VERB
fcis-22624	147	17	seasonal	seasonal	ADJ
fcis-22624	147	18	arima	arima	NOUN
fcis-22624	147	19	model	model	NOUN
fcis-22624	147	20	with	with	ADP
fcis-22624	147	21	limited	limited	ADJ
fcis-22624	147	22	input	input	NOUN
fcis-22624	147	23	data[j	data[j	NOUN
fcis-22624	147	24	]	]	PUNCT
fcis-22624	147	25	.	.	PUNCT
fcis-22624	148	1	european	european	PROPN
fcis-22624	148	2	transport	transport	PROPN
fcis-22624	148	3	research	research	PROPN
fcis-22624	148	4	review	review	PROPN
fcis-22624	148	5	,	,	PUNCT
fcis-22624	148	6	2015	2015	NUM
fcis-22624	148	7	,	,	PUNCT
fcis-22624	148	8	7	7	NUM
fcis-22624	148	9	:	:	SYM
fcis-22624	148	10	1	1	NUM
fcis-22624	148	11	-	-	SYM
fcis-22624	148	12	9	9	NUM
fcis-22624	148	13	.	.	NOUN
fcis-22624	148	14	64	64	NUM
fcis-22624	149	1	[	[	SYM
fcis-22624	149	2	4	4	X
fcis-22624	149	3	]	]	PUNCT
fcis-22624	149	4	arumugam	arumugam	ADJ
fcis-22624	149	5	v	v	NOUN
fcis-22624	149	6	,	,	PUNCT
fcis-22624	149	7	natarajan	natarajan	PROPN
fcis-22624	149	8	v.	v.	PROPN
fcis-22624	149	9	time	time	PROPN
fcis-22624	149	10	series	series	PROPN
fcis-22624	149	11	modeling	modeling	NOUN
fcis-22624	149	12	and	and	CCONJ
fcis-22624	149	13	forecasting	forecasting	NOUN
fcis-22624	149	14	using	use	VERB
fcis-22624	149	15	autoregressive	autoregressive	ADJ
fcis-22624	149	16	integrated	integrated	ADJ
fcis-22624	149	17	moving	move	VERB
fcis-22624	149	18	average	average	ADJ
fcis-22624	149	19	and	and	CCONJ
fcis-22624	149	20	seasonal	seasonal	ADJ
fcis-22624	149	21	autoregressive	autoregressive	ADJ
fcis-22624	149	22	integrated	integrated	ADJ
fcis-22624	149	23	moving	move	VERB
fcis-22624	149	24	average	average	ADJ
fcis-22624	149	25	models[j	models[j	NOUN
fcis-22624	149	26	]	]	PUNCT
fcis-22624	149	27	.	.	PUNCT
fcis-22624	150	1	instrumentation	instrumentation	NOUN
fcis-22624	150	2	,	,	PUNCT
fcis-22624	150	3	mesures	mesure	NOUN
fcis-22624	150	4	,	,	PUNCT
fcis-22624	150	5	métrologies	métrologie	NOUN
fcis-22624	150	6	,	,	PUNCT
fcis-22624	150	7	2023	2023	NUM
fcis-22624	150	8	,	,	PUNCT
fcis-22624	150	9	22(4	22(4	NUM
fcis-22624	150	10	)	)	PUNCT
fcis-22624	150	11	.	.	PUNCT
fcis-22624	151	1	[	[	X
fcis-22624	151	2	5	5	X
fcis-22624	151	3	]	]	X
fcis-22624	151	4	boyce	boyce	PROPN
fcis-22624	151	5	m	m	PROPN
fcis-22624	151	6	s	s	PROPN
fcis-22624	151	7	,	,	PUNCT
fcis-22624	151	8	pitt	pitt	PROPN
fcis-22624	151	9	j	j	PROPN
fcis-22624	151	10	,	,	PUNCT
fcis-22624	151	11	northrup	northrup	PROPN
fcis-22624	151	12	j	j	PROPN
fcis-22624	151	13	m	m	PROPN
fcis-22624	151	14	,	,	PUNCT
fcis-22624	151	15	et	et	PROPN
fcis-22624	151	16	al	al	PROPN
fcis-22624	151	17	.	.	PUNCT
fcis-22624	152	1	temporal	temporal	ADJ
fcis-22624	152	2	autocorrelation	autocorrelation	NOUN
fcis-22624	152	3	functions	function	NOUN
fcis-22624	152	4	for	for	ADP
fcis-22624	152	5	movement	movement	NOUN
fcis-22624	152	6	rates	rate	NOUN
fcis-22624	152	7	from	from	ADP
fcis-22624	152	8	global	global	ADJ
fcis-22624	152	9	positioning	positioning	NOUN
fcis-22624	152	10	system	system	NOUN
fcis-22624	152	11	radiotelemetry	radiotelemetry	NOUN
fcis-22624	152	12	data[j	data[j	NOUN
fcis-22624	152	13	]	]	PUNCT
fcis-22624	152	14	.	.	PUNCT
fcis-22624	153	1	philosophical	philosophical	ADJ
fcis-22624	153	2	transactions	transaction	NOUN
fcis-22624	153	3	of	of	ADP
fcis-22624	153	4	the	the	DET
fcis-22624	153	5	royal	royal	ADJ
fcis-22624	153	6	society	society	NOUN
fcis-22624	153	7	b	b	PROPN
fcis-22624	153	8	:	:	PUNCT
fcis-22624	153	9	biological	biological	ADJ
fcis-22624	153	10	sciences	science	NOUN
fcis-22624	153	11	,	,	PUNCT
fcis-22624	153	12	2010	2010	NUM
fcis-22624	153	13	,	,	PUNCT
fcis-22624	153	14	365	365	NUM
fcis-22624	153	15	(	(	PUNCT
fcis-22624	153	16	1550	1550	NUM
fcis-22624	153	17	):	):	PUNCT
fcis-22624	153	18	2213	2213	NUM
fcis-22624	153	19	-	-	SYM
fcis-22624	153	20	2219	2219	NUM
fcis-22624	153	21	.	.	PUNCT
fcis-22624	154	1	[	[	X
fcis-22624	154	2	6	6	NUM
fcis-22624	154	3	]	]	PUNCT
fcis-22624	154	4	nouri	nouri	PROPN
fcis-22624	154	5	n	n	CCONJ
fcis-22624	154	6	,	,	PUNCT
fcis-22624	154	7	devineni	devineni	NOUN
fcis-22624	154	8	n	n	CCONJ
fcis-22624	154	9	,	,	PUNCT
fcis-22624	154	10	were	be	AUX
fcis-22624	154	11	v	v	NOUN
fcis-22624	154	12	,	,	PUNCT
fcis-22624	154	13	et	et	PROPN
fcis-22624	154	14	al	al	PROPN
fcis-22624	154	15	.	.	PUNCT
fcis-22624	154	16	explaining	explain	VERB
fcis-22624	154	17	the	the	DET
fcis-22624	154	18	trends	trend	NOUN
fcis-22624	154	19	and	and	CCONJ
fcis-22624	154	20	variability	variability	NOUN
fcis-22624	154	21	in	in	ADP
fcis-22624	154	22	the	the	DET
fcis-22624	154	23	united	united	PROPN
fcis-22624	154	24	states	states	PROPN
fcis-22624	154	25	tornado	tornado	NOUN
fcis-22624	154	26	records	record	NOUN
fcis-22624	154	27	using	use	VERB
fcis-22624	154	28	climate	climate	NOUN
fcis-22624	154	29	teleconnections	teleconnection	NOUN
fcis-22624	154	30	and	and	CCONJ
fcis-22624	154	31	shifts	shift	NOUN
fcis-22624	154	32	in	in	ADP
fcis-22624	154	33	observational	observational	ADJ
fcis-22624	154	34	practices[j	practices[j	NOUN
fcis-22624	154	35	]	]	PUNCT
fcis-22624	154	36	.	.	PUNCT
fcis-22624	155	1	scientific	scientific	ADJ
fcis-22624	155	2	reports	report	NOUN
fcis-22624	155	3	,	,	PUNCT
fcis-22624	155	4	2021	2021	NUM
fcis-22624	155	5	,	,	PUNCT
fcis-22624	155	6	11(1	11(1	NUM
fcis-22624	155	7	):	):	PUNCT
fcis-22624	155	8	1	1	NUM
fcis-22624	155	9	-	-	SYM
fcis-22624	155	10	14	14	NUM
fcis-22624	155	11	.	.	PUNCT