id	sid	tid	token	lemma	pos
app01-10622	1	1	acta	acta	PROPN
app01-10622	1	2	polytechnica	polytechnica	PROPN
app01-10622	1	3	ctu	ctu	PROPN
app01-10622	1	4	proceedings	proceeding	NOUN
app01-10622	1	5	https://doi.org/10.14311/app.2025.52.0122	https://doi.org/10.14311/app.2025.52.0122	PROPN
app01-10622	1	6	acta	acta	PROPN
app01-10622	1	7	polytechnica	polytechnica	PROPN
app01-10622	1	8	ctu	ctu	NOUN
app01-10622	1	9	proceedings	proceeding	NOUN
app01-10622	1	10	52:122–128	52:122–128	PROPN
app01-10622	1	11	,	,	PUNCT
app01-10622	1	12	2025	2025	NUM
app01-10622	1	13	©	©	ADP
app01-10622	1	14	2025	2025	NUM
app01-10622	1	15	the	the	DET
app01-10622	1	16	author(s	author(s	NOUN
app01-10622	1	17	)	)	PUNCT
app01-10622	1	18	.	.	PUNCT
app01-10622	2	1	licensed	license	VERB
app01-10622	2	2	under	under	ADP
app01-10622	2	3	a	a	DET
app01-10622	2	4	cc	cc	NOUN
app01-10622	2	5	-	-	PUNCT
app01-10622	2	6	by	by	ADP
app01-10622	2	7	4.0	4.0	NUM
app01-10622	2	8	licence	licence	NOUN
app01-10622	2	9	published	publish	VERB
app01-10622	2	10	by	by	ADP
app01-10622	2	11	the	the	DET
app01-10622	2	12	czech	czech	PROPN
app01-10622	2	13	technical	technical	PROPN
app01-10622	2	14	university	university	PROPN
app01-10622	2	15	in	in	ADP
app01-10622	2	16	prague	prague	PROPN
app01-10622	2	17	modeling	modeling	NOUN
app01-10622	2	18	of	of	ADP
app01-10622	2	19	lto	lto	PROPN
app01-10622	2	20	approach	approach	PROPN
app01-10622	2	21	time	time	NOUN
app01-10622	2	22	-	-	PUNCT
app01-10622	2	23	in	in	ADP
app01-10622	2	24	-	-	PUNCT
app01-10622	2	25	mode	mode	NOUN
app01-10622	2	26	values	value	NOUN
app01-10622	2	27	in	in	ADP
app01-10622	2	28	matlab	matlab	PROPN
app01-10622	2	29	using	use	VERB
app01-10622	2	30	the	the	DET
app01-10622	2	31	generalized	generalized	ADJ
app01-10622	2	32	extreme	extreme	ADJ
app01-10622	2	33	value	value	NOUN
app01-10622	2	34	distribution	distribution	NOUN
app01-10622	2	35	bo	bo	NOUN
app01-10622	2	36	stloukala,∗	stloukala,∗	PROPN
app01-10622	2	37	,	,	PUNCT
app01-10622	2	38	ivan	ivan	PROPN
app01-10622	2	39	nagyb	nagyb	PROPN
app01-10622	2	40	a	a	DET
app01-10622	2	41	czech	czech	PROPN
app01-10622	2	42	technical	technical	PROPN
app01-10622	2	43	university	university	PROPN
app01-10622	2	44	in	in	ADP
app01-10622	2	45	prague	prague	PROPN
app01-10622	2	46	,	,	PUNCT
app01-10622	2	47	faculty	faculty	NOUN
app01-10622	2	48	of	of	ADP
app01-10622	2	49	transportation	transportation	NOUN
app01-10622	2	50	sciences	sciences	PROPN
app01-10622	2	51	,	,	PUNCT
app01-10622	2	52	department	department	NOUN
app01-10622	2	53	of	of	ADP
app01-10622	2	54	air	air	NOUN
app01-10622	2	55	transport	transport	NOUN
app01-10622	2	56	,	,	PUNCT
app01-10622	2	57	horská	horská	NOUN
app01-10622	2	58	3	3	NUM
app01-10622	2	59	,	,	PUNCT
app01-10622	2	60	128	128	NUM
app01-10622	2	61	03	03	NUM
app01-10622	2	62	prague	prague	NOUN
app01-10622	2	63	2	2	NUM
app01-10622	2	64	,	,	PUNCT
app01-10622	2	65	czech	czech	PROPN
app01-10622	2	66	republic	republic	PROPN
app01-10622	2	67	b	b	PROPN
app01-10622	2	68	czech	czech	PROPN
app01-10622	2	69	technical	technical	PROPN
app01-10622	2	70	university	university	PROPN
app01-10622	2	71	in	in	ADP
app01-10622	2	72	prague	prague	PROPN
app01-10622	2	73	,	,	PUNCT
app01-10622	2	74	faculty	faculty	NOUN
app01-10622	2	75	of	of	ADP
app01-10622	2	76	transportation	transportation	NOUN
app01-10622	2	77	sciences	sciences	PROPN
app01-10622	2	78	,	,	PUNCT
app01-10622	2	79	department	department	NOUN
app01-10622	2	80	of	of	ADP
app01-10622	2	81	applied	apply	VERB
app01-10622	2	82	mathematics	mathematic	NOUN
app01-10622	2	83	,	,	PUNCT
app01-10622	2	84	na	na	PART
app01-10622	2	85	florenci	florenci	VERB
app01-10622	2	86	25	25	NUM
app01-10622	2	87	,	,	PUNCT
app01-10622	2	88	110	110	NUM
app01-10622	2	89	00	00	NUM
app01-10622	3	1	prague	prague	PROPN
app01-10622	3	2	1	1	NUM
app01-10622	3	3	,	,	PUNCT
app01-10622	3	4	czech	czech	PROPN
app01-10622	3	5	republic	republic	NOUN
app01-10622	3	6	∗	∗	NOUN
app01-10622	3	7	corresponding	correspond	VERB
app01-10622	3	8	author	author	NOUN
app01-10622	3	9	:	:	PUNCT
app01-10622	3	10	stloubo@fd.cvut.cz	stloubo@fd.cvut.cz	NOUN
app01-10622	3	11	abstract	abstract	ADJ
app01-10622	3	12	.	.	PUNCT
app01-10622	4	1	the	the	DET
app01-10622	4	2	landing	landing	NOUN
app01-10622	4	3	and	and	CCONJ
app01-10622	4	4	take	take	VERB
app01-10622	4	5	-	-	PUNCT
app01-10622	4	6	off	off	NOUN
app01-10622	4	7	(	(	PUNCT
app01-10622	4	8	lto	lto	PROPN
app01-10622	4	9	)	)	PUNCT
app01-10622	4	10	cycle	cycle	NOUN
app01-10622	4	11	,	,	PUNCT
app01-10622	4	12	which	which	PRON
app01-10622	4	13	is	be	AUX
app01-10622	4	14	used	use	VERB
app01-10622	4	15	to	to	PART
app01-10622	4	16	calculate	calculate	VERB
app01-10622	4	17	emissions	emission	NOUN
app01-10622	4	18	of	of	ADP
app01-10622	4	19	aircraft	aircraft	NOUN
app01-10622	4	20	below	below	ADP
app01-10622	4	21	3	3	NUM
app01-10622	4	22	000	000	NUM
app01-10622	4	23	feet	foot	NOUN
app01-10622	4	24	,	,	PUNCT
app01-10622	4	25	consists	consist	VERB
app01-10622	4	26	of	of	ADP
app01-10622	4	27	four	four	NUM
app01-10622	4	28	operating	operate	VERB
app01-10622	4	29	modes	mode	NOUN
app01-10622	4	30	,	,	PUNCT
app01-10622	4	31	each	each	PRON
app01-10622	4	32	of	of	ADP
app01-10622	4	33	which	which	PRON
app01-10622	4	34	has	have	VERB
app01-10622	4	35	a	a	DET
app01-10622	4	36	standardized	standardized	ADJ
app01-10622	4	37	time	time	NOUN
app01-10622	4	38	duration	duration	NOUN
app01-10622	4	39	or	or	CCONJ
app01-10622	4	40	time	time	NOUN
app01-10622	4	41	-	-	PUNCT
app01-10622	4	42	in	in	ADP
app01-10622	4	43	-	-	PUNCT
app01-10622	4	44	mode	mode	NOUN
app01-10622	4	45	(	(	PUNCT
app01-10622	4	46	tim	tim	PROPN
app01-10622	4	47	)	)	PUNCT
app01-10622	4	48	.	.	PUNCT
app01-10622	5	1	in	in	ADP
app01-10622	5	2	this	this	DET
app01-10622	5	3	paper	paper	NOUN
app01-10622	5	4	,	,	PUNCT
app01-10622	5	5	we	we	PRON
app01-10622	5	6	model	model	VERB
app01-10622	5	7	tim	tim	PROPN
app01-10622	5	8	values	value	NOUN
app01-10622	5	9	of	of	ADP
app01-10622	5	10	the	the	DET
app01-10622	5	11	approach	approach	NOUN
app01-10622	5	12	operating	operate	VERB
app01-10622	5	13	mode	mode	NOUN
app01-10622	5	14	for	for	ADP
app01-10622	5	15	two	two	NUM
app01-10622	5	16	aircraft	aircraft	NOUN
app01-10622	5	17	types	type	NOUN
app01-10622	5	18	(	(	PUNCT
app01-10622	5	19	boeing	boeing	PROPN
app01-10622	5	20	737	737	NUM
app01-10622	5	21	-	-	SYM
app01-10622	5	22	800	800	NUM
app01-10622	5	23	and	and	CCONJ
app01-10622	5	24	airbus	airbus	PROPN
app01-10622	5	25	a320	a320	PROPN
app01-10622	5	26	)	)	PUNCT
app01-10622	5	27	arriving	arrive	VERB
app01-10622	5	28	on	on	ADP
app01-10622	5	29	runway	runway	NOUN
app01-10622	5	30	24	24	NUM
app01-10622	5	31	at	at	ADP
app01-10622	5	32	prague	prague	PROPN
app01-10622	5	33	václav	václav	PROPN
app01-10622	5	34	havel	havel	PROPN
app01-10622	5	35	airport	airport	NOUN
app01-10622	5	36	using	use	VERB
app01-10622	5	37	the	the	DET
app01-10622	5	38	generalized	generalized	ADJ
app01-10622	5	39	extreme	extreme	ADJ
app01-10622	5	40	value	value	NOUN
app01-10622	5	41	(	(	PUNCT
app01-10622	5	42	gev	gev	NOUN
app01-10622	5	43	)	)	PUNCT
app01-10622	5	44	distribution	distribution	NOUN
app01-10622	5	45	.	.	PUNCT
app01-10622	6	1	predictions	prediction	NOUN
app01-10622	6	2	of	of	ADP
app01-10622	6	3	the	the	DET
app01-10622	6	4	tim	tim	PROPN
app01-10622	6	5	values	value	NOUN
app01-10622	6	6	are	be	AUX
app01-10622	6	7	made	make	VERB
app01-10622	6	8	using	use	VERB
app01-10622	6	9	the	the	DET
app01-10622	6	10	models	model	NOUN
app01-10622	6	11	,	,	PUNCT
app01-10622	6	12	and	and	CCONJ
app01-10622	6	13	the	the	DET
app01-10622	6	14	performance	performance	NOUN
app01-10622	6	15	of	of	ADP
app01-10622	6	16	each	each	DET
app01-10622	6	17	model	model	NOUN
app01-10622	6	18	is	be	AUX
app01-10622	6	19	evaluated	evaluate	VERB
app01-10622	6	20	.	.	PUNCT
app01-10622	7	1	the	the	DET
app01-10622	7	2	results	result	NOUN
app01-10622	7	3	show	show	VERB
app01-10622	7	4	that	that	SCONJ
app01-10622	7	5	for	for	ADP
app01-10622	7	6	both	both	DET
app01-10622	7	7	aircraft	aircraft	NOUN
app01-10622	7	8	types	type	NOUN
app01-10622	7	9	,	,	PUNCT
app01-10622	7	10	the	the	DET
app01-10622	7	11	predicted	predict	VERB
app01-10622	7	12	tim	tim	PROPN
app01-10622	7	13	values	value	NOUN
app01-10622	7	14	lead	lead	VERB
app01-10622	7	15	to	to	ADP
app01-10622	7	16	total	total	ADJ
app01-10622	7	17	emissions	emission	NOUN
app01-10622	7	18	estimates	estimate	NOUN
app01-10622	7	19	deviating	deviate	VERB
app01-10622	7	20	on	on	ADP
app01-10622	7	21	average	average	ADJ
app01-10622	7	22	by	by	ADP
app01-10622	7	23	1	1	NUM
app01-10622	7	24	to	to	PART
app01-10622	7	25	2	2	NUM
app01-10622	7	26	percent	percent	NOUN
app01-10622	7	27	from	from	ADP
app01-10622	7	28	estimates	estimate	NOUN
app01-10622	7	29	made	make	VERB
app01-10622	7	30	using	use	VERB
app01-10622	7	31	the	the	DET
app01-10622	7	32	real	real	ADJ
app01-10622	7	33	tim	tim	PROPN
app01-10622	7	34	values	value	NOUN
app01-10622	7	35	,	,	PUNCT
app01-10622	7	36	showing	show	VERB
app01-10622	7	37	good	good	ADJ
app01-10622	7	38	model	model	NOUN
app01-10622	7	39	performance	performance	NOUN
app01-10622	7	40	.	.	PUNCT
app01-10622	8	1	the	the	DET
app01-10622	8	2	presented	present	VERB
app01-10622	8	3	approach	approach	NOUN
app01-10622	8	4	is	be	AUX
app01-10622	8	5	also	also	ADV
app01-10622	8	6	shown	show	VERB
app01-10622	8	7	to	to	PART
app01-10622	8	8	be	be	AUX
app01-10622	8	9	beneficial	beneficial	ADJ
app01-10622	8	10	in	in	ADP
app01-10622	8	11	comparison	comparison	NOUN
app01-10622	8	12	with	with	ADP
app01-10622	8	13	using	use	VERB
app01-10622	8	14	the	the	DET
app01-10622	8	15	standard	standard	ADJ
app01-10622	8	16	tim	tim	PROPN
app01-10622	8	17	value	value	NOUN
app01-10622	8	18	(	(	PUNCT
app01-10622	8	19	240	240	NUM
app01-10622	8	20	s	s	NOUN
app01-10622	8	21	)	)	PUNCT
app01-10622	8	22	,	,	PUNCT
app01-10622	8	23	highlighting	highlight	VERB
app01-10622	8	24	the	the	DET
app01-10622	8	25	feasibility	feasibility	NOUN
app01-10622	8	26	of	of	ADP
app01-10622	8	27	further	further	ADJ
app01-10622	8	28	research	research	NOUN
app01-10622	8	29	in	in	ADP
app01-10622	8	30	this	this	DET
app01-10622	8	31	area	area	NOUN
app01-10622	8	32	as	as	ADP
app01-10622	8	33	one	one	NUM
app01-10622	8	34	of	of	ADP
app01-10622	8	35	the	the	DET
app01-10622	8	36	avenues	avenue	NOUN
app01-10622	8	37	of	of	ADP
app01-10622	8	38	improving	improve	VERB
app01-10622	8	39	the	the	DET
app01-10622	8	40	lto	lto	PROPN
app01-10622	8	41	cycle	cycle	NOUN
app01-10622	8	42	methodology	methodology	NOUN
app01-10622	8	43	.	.	PUNCT
app01-10622	9	1	keywords	keyword	NOUN
app01-10622	9	2	:	:	PUNCT
app01-10622	9	3	aircraft	aircraft	NOUN
app01-10622	9	4	,	,	PUNCT
app01-10622	9	5	emissions	emission	NOUN
app01-10622	9	6	,	,	PUNCT
app01-10622	9	7	approach	approach	NOUN
app01-10622	9	8	,	,	PUNCT
app01-10622	9	9	lto	lto	PROPN
app01-10622	9	10	cycle	cycle	NOUN
app01-10622	9	11	,	,	PUNCT
app01-10622	9	12	time	time	NOUN
app01-10622	9	13	-	-	PUNCT
app01-10622	9	14	in	in	ADP
app01-10622	9	15	-	-	PUNCT
app01-10622	9	16	mode	mode	NOUN
app01-10622	9	17	,	,	PUNCT
app01-10622	9	18	generalized	generalize	VERB
app01-10622	9	19	extreme	extreme	ADJ
app01-10622	9	20	value	value	NOUN
app01-10622	9	21	distribution	distribution	NOUN
app01-10622	9	22	.	.	PUNCT
app01-10622	10	1	1	1	X
app01-10622	10	2	.	.	X
app01-10622	10	3	introduction	introduction	NOUN
app01-10622	10	4	the	the	DET
app01-10622	10	5	process	process	NOUN
app01-10622	10	6	of	of	ADP
app01-10622	10	7	aircraft	aircraft	NOUN
app01-10622	10	8	engine	engine	NOUN
app01-10622	10	9	emissions	emission	NOUN
app01-10622	10	10	certification	certification	NOUN
app01-10622	10	11	is	be	AUX
app01-10622	10	12	regulated	regulate	VERB
app01-10622	10	13	by	by	ADP
app01-10622	10	14	standards	standard	NOUN
app01-10622	10	15	and	and	CCONJ
app01-10622	10	16	recommended	recommend	VERB
app01-10622	10	17	practices	practice	NOUN
app01-10622	10	18	defined	define	VERB
app01-10622	10	19	by	by	ADP
app01-10622	10	20	the	the	DET
app01-10622	10	21	international	international	ADJ
app01-10622	10	22	civil	civil	ADJ
app01-10622	10	23	aviation	aviation	NOUN
app01-10622	10	24	organization	organization	NOUN
app01-10622	10	25	(	(	PUNCT
app01-10622	10	26	icao	icao	PROPN
app01-10622	10	27	)	)	PUNCT
app01-10622	10	28	.	.	PUNCT
app01-10622	11	1	specifically	specifically	ADV
app01-10622	11	2	,	,	PUNCT
app01-10622	11	3	requirements	requirement	NOUN
app01-10622	11	4	concerning	concern	VERB
app01-10622	11	5	emissions	emission	NOUN
app01-10622	11	6	below	below	ADP
app01-10622	11	7	3	3	NUM
app01-10622	11	8	000	000	NUM
app01-10622	11	9	feet	foot	NOUN
app01-10622	11	10	above	above	ADP
app01-10622	11	11	ground	ground	NOUN
app01-10622	11	12	level	level	NOUN
app01-10622	11	13	(	(	PUNCT
app01-10622	11	14	agl	agl	NOUN
app01-10622	11	15	)	)	PUNCT
app01-10622	11	16	are	be	AUX
app01-10622	11	17	outlined	outline	VERB
app01-10622	11	18	in	in	ADP
app01-10622	11	19	the	the	DET
app01-10622	11	20	annex	annex	NOUN
app01-10622	11	21	16	16	NUM
app01-10622	11	22	to	to	ADP
app01-10622	11	23	the	the	DET
app01-10622	11	24	convention	convention	NOUN
app01-10622	11	25	on	on	ADP
app01-10622	11	26	international	international	ADJ
app01-10622	11	27	civil	civil	ADJ
app01-10622	11	28	aviation	aviation	NOUN
app01-10622	11	29	,	,	PUNCT
app01-10622	11	30	volume	volume	NOUN
app01-10622	11	31	ii	ii	NOUN
app01-10622	12	1	[	[	X
app01-10622	12	2	1	1	NUM
app01-10622	12	3	]	]	PUNCT
app01-10622	12	4	.	.	PUNCT
app01-10622	13	1	these	these	PRON
app01-10622	13	2	cover	cover	VERB
app01-10622	13	3	several	several	ADJ
app01-10622	13	4	emission	emission	NOUN
app01-10622	13	5	species	specie	NOUN
app01-10622	13	6	,	,	PUNCT
app01-10622	13	7	including	include	VERB
app01-10622	13	8	gaseous	gaseous	ADJ
app01-10622	13	9	pollutants	pollutant	NOUN
app01-10622	13	10	and	and	CCONJ
app01-10622	13	11	non	non	ADJ
app01-10622	13	12	-	-	ADJ
app01-10622	13	13	volatile	volatile	ADJ
app01-10622	13	14	particulate	particulate	NOUN
app01-10622	13	15	matter	matter	NOUN
app01-10622	13	16	,	,	PUNCT
app01-10622	13	17	which	which	PRON
app01-10622	13	18	have	have	VERB
app01-10622	13	19	a	a	DET
app01-10622	13	20	direct	direct	ADJ
app01-10622	13	21	impact	impact	NOUN
app01-10622	13	22	on	on	ADP
app01-10622	13	23	local	local	ADJ
app01-10622	13	24	air	air	NOUN
app01-10622	13	25	quality	quality	NOUN
app01-10622	13	26	and	and	CCONJ
app01-10622	13	27	hence	hence	ADV
app01-10622	13	28	the	the	DET
app01-10622	13	29	health	health	NOUN
app01-10622	13	30	of	of	ADP
app01-10622	13	31	local	local	ADJ
app01-10622	13	32	populations	population	NOUN
app01-10622	13	33	[	[	X
app01-10622	13	34	2	2	NUM
app01-10622	13	35	,	,	PUNCT
app01-10622	13	36	3	3	NUM
app01-10622	13	37	]	]	PUNCT
app01-10622	13	38	.	.	PUNCT
app01-10622	14	1	in	in	ADP
app01-10622	14	2	order	order	NOUN
app01-10622	14	3	to	to	PART
app01-10622	14	4	assess	assess	VERB
app01-10622	14	5	the	the	DET
app01-10622	14	6	amount	amount	NOUN
app01-10622	14	7	of	of	ADP
app01-10622	14	8	these	these	DET
app01-10622	14	9	emissions	emission	NOUN
app01-10622	14	10	,	,	PUNCT
app01-10622	14	11	the	the	DET
app01-10622	14	12	reference	reference	NOUN
app01-10622	14	13	emissions	emission	NOUN
app01-10622	14	14	landing	landing	NOUN
app01-10622	14	15	and	and	CCONJ
app01-10622	14	16	take	take	VERB
app01-10622	14	17	-	-	PUNCT
app01-10622	14	18	off	off	NOUN
app01-10622	14	19	(	(	PUNCT
app01-10622	14	20	lto	lto	PROPN
app01-10622	14	21	)	)	PUNCT
app01-10622	14	22	cycle	cycle	NOUN
app01-10622	14	23	is	be	AUX
app01-10622	14	24	defined	define	VERB
app01-10622	14	25	within	within	ADP
app01-10622	14	26	the	the	DET
app01-10622	14	27	annex	annex	NOUN
app01-10622	14	28	,	,	PUNCT
app01-10622	14	29	for	for	ADP
app01-10622	14	30	which	which	PRON
app01-10622	14	31	four	four	NUM
app01-10622	14	32	operating	operate	VERB
app01-10622	14	33	modes	mode	NOUN
app01-10622	14	34	are	be	AUX
app01-10622	14	35	given	give	VERB
app01-10622	14	36	(	(	PUNCT
app01-10622	14	37	idle	idle	ADJ
app01-10622	14	38	,	,	PUNCT
app01-10622	14	39	take	take	VERB
app01-10622	14	40	-	-	PUNCT
app01-10622	14	41	off	off	NOUN
app01-10622	14	42	,	,	PUNCT
app01-10622	14	43	climb	climb	VERB
app01-10622	14	44	-	-	PUNCT
app01-10622	14	45	out	out	NOUN
app01-10622	14	46	and	and	CCONJ
app01-10622	14	47	approach	approach	NOUN
app01-10622	14	48	)	)	PUNCT
app01-10622	14	49	.	.	PUNCT
app01-10622	15	1	each	each	PRON
app01-10622	15	2	of	of	ADP
app01-10622	15	3	these	these	PRON
app01-10622	15	4	has	have	VERB
app01-10622	15	5	a	a	DET
app01-10622	15	6	given	give	VERB
app01-10622	15	7	thrust	thrust	NOUN
app01-10622	15	8	setting	set	VERB
app01-10622	15	9	as	as	ADV
app01-10622	15	10	well	well	ADV
app01-10622	15	11	as	as	ADP
app01-10622	15	12	time	time	NOUN
app01-10622	15	13	duration	duration	NOUN
app01-10622	15	14	,	,	PUNCT
app01-10622	15	15	or	or	CCONJ
app01-10622	15	16	time	time	NOUN
app01-10622	15	17	-	-	PUNCT
app01-10622	15	18	in	in	ADP
app01-10622	15	19	-	-	PUNCT
app01-10622	15	20	mode	mode	NOUN
app01-10622	15	21	(	(	PUNCT
app01-10622	15	22	tim	tim	PROPN
app01-10622	15	23	)	)	PUNCT
app01-10622	15	24	value	value	NOUN
app01-10622	15	25	.	.	PUNCT
app01-10622	16	1	as	as	ADP
app01-10622	16	2	part	part	NOUN
app01-10622	16	3	of	of	ADP
app01-10622	16	4	the	the	DET
app01-10622	16	5	certification	certification	NOUN
app01-10622	16	6	process	process	NOUN
app01-10622	16	7	,	,	PUNCT
app01-10622	16	8	data	datum	NOUN
app01-10622	16	9	on	on	ADP
app01-10622	16	10	specific	specific	ADJ
app01-10622	16	11	fuel	fuel	NOUN
app01-10622	16	12	consumption	consumption	NOUN
app01-10622	16	13	and	and	CCONJ
app01-10622	16	14	emission	emission	NOUN
app01-10622	16	15	indices	index	NOUN
app01-10622	16	16	(	(	PUNCT
app01-10622	16	17	i.e.	i.e.	X
app01-10622	16	18	,	,	PUNCT
app01-10622	16	19	mass	mass	NOUN
app01-10622	16	20	of	of	ADP
app01-10622	16	21	emissions	emission	NOUN
app01-10622	16	22	per	per	ADP
app01-10622	16	23	mass	mass	NOUN
app01-10622	16	24	of	of	ADP
app01-10622	16	25	fuel	fuel	NOUN
app01-10622	16	26	consumed	consume	VERB
app01-10622	16	27	)	)	PUNCT
app01-10622	16	28	for	for	ADP
app01-10622	16	29	each	each	DET
app01-10622	16	30	emission	emission	NOUN
app01-10622	16	31	species	specie	NOUN
app01-10622	16	32	are	be	AUX
app01-10622	16	33	collected	collect	VERB
app01-10622	16	34	for	for	ADP
app01-10622	16	35	each	each	DET
app01-10622	16	36	lto	lto	PROPN
app01-10622	16	37	operating	operate	VERB
app01-10622	16	38	mode	mode	NOUN
app01-10622	17	1	[	[	X
app01-10622	17	2	1	1	NUM
app01-10622	17	3	]	]	PUNCT
app01-10622	17	4	.	.	PUNCT
app01-10622	18	1	while	while	SCONJ
app01-10622	18	2	originally	originally	ADV
app01-10622	18	3	intended	intend	VERB
app01-10622	18	4	for	for	ADP
app01-10622	18	5	engine	engine	NOUN
app01-10622	18	6	emissions	emission	NOUN
app01-10622	18	7	certification	certification	NOUN
app01-10622	18	8	,	,	PUNCT
app01-10622	18	9	since	since	SCONJ
app01-10622	18	10	they	they	PRON
app01-10622	18	11	are	be	AUX
app01-10622	18	12	openly	openly	ADV
app01-10622	18	13	available	available	ADJ
app01-10622	18	14	in	in	ADP
app01-10622	18	15	emission	emission	NOUN
app01-10622	18	16	databanks	databank	NOUN
app01-10622	18	17	,	,	PUNCT
app01-10622	18	18	these	these	DET
app01-10622	18	19	data	datum	NOUN
app01-10622	18	20	are	be	AUX
app01-10622	18	21	also	also	ADV
app01-10622	18	22	frequently	frequently	ADV
app01-10622	18	23	used	use	VERB
app01-10622	18	24	for	for	ADP
app01-10622	18	25	the	the	DET
app01-10622	18	26	purpose	purpose	NOUN
app01-10622	18	27	of	of	ADP
app01-10622	18	28	estimating	estimate	VERB
app01-10622	18	29	the	the	DET
app01-10622	18	30	amount	amount	NOUN
app01-10622	18	31	of	of	ADP
app01-10622	18	32	emissions	emission	NOUN
app01-10622	18	33	emitted	emit	VERB
app01-10622	18	34	by	by	ADP
app01-10622	18	35	aircraft	aircraft	NOUN
app01-10622	18	36	at	at	ADP
app01-10622	18	37	and	and	CCONJ
app01-10622	18	38	near	near	ADP
app01-10622	18	39	airports	airport	NOUN
app01-10622	18	40	.	.	PUNCT
app01-10622	19	1	this	this	PRON
app01-10622	19	2	includes	include	VERB
app01-10622	19	3	the	the	DET
app01-10622	19	4	development	development	NOUN
app01-10622	19	5	of	of	ADP
app01-10622	19	6	inventories	inventory	NOUN
app01-10622	19	7	of	of	ADP
app01-10622	19	8	the	the	DET
app01-10622	19	9	individual	individual	ADJ
app01-10622	19	10	emission	emission	NOUN
app01-10622	19	11	species	specie	NOUN
app01-10622	19	12	(	(	PUNCT
app01-10622	19	13	for	for	ADP
app01-10622	19	14	example	example	NOUN
app01-10622	19	15	in	in	ADP
app01-10622	19	16	[	[	X
app01-10622	19	17	4–8	4–8	NOUN
app01-10622	19	18	]	]	X
app01-10622	19	19	)	)	PUNCT
app01-10622	19	20	.	.	PUNCT
app01-10622	20	1	the	the	DET
app01-10622	20	2	tim	tim	PROPN
app01-10622	20	3	value	value	NOUN
app01-10622	20	4	is	be	AUX
app01-10622	20	5	a	a	DET
app01-10622	20	6	large	large	ADJ
app01-10622	20	7	source	source	NOUN
app01-10622	20	8	of	of	ADP
app01-10622	20	9	uncertainty	uncertainty	NOUN
app01-10622	20	10	within	within	ADP
app01-10622	20	11	the	the	DET
app01-10622	20	12	calculations	calculation	NOUN
app01-10622	20	13	of	of	ADP
app01-10622	20	14	emissions	emission	NOUN
app01-10622	20	15	of	of	ADP
app01-10622	20	16	airport	airport	NOUN
app01-10622	20	17	movements	movement	NOUN
app01-10622	20	18	,	,	PUNCT
app01-10622	20	19	especially	especially	ADV
app01-10622	20	20	for	for	SCONJ
app01-10622	20	21	the	the	DET
app01-10622	20	22	lto	lto	PROPN
app01-10622	20	23	operating	operating	PROPN
app01-10622	20	24	modes	mode	NOUN
app01-10622	20	25	idle	idle	VERB
app01-10622	20	26	and	and	CCONJ
app01-10622	20	27	climb	climb	NOUN
app01-10622	20	28	-	-	PUNCT
app01-10622	20	29	out	out	NOUN
app01-10622	20	30	,	,	PUNCT
app01-10622	20	31	where	where	SCONJ
app01-10622	20	32	the	the	DET
app01-10622	20	33	default	default	NOUN
app01-10622	20	34	values	value	NOUN
app01-10622	20	35	as	as	SCONJ
app01-10622	20	36	given	give	VERB
app01-10622	20	37	by	by	ADP
app01-10622	20	38	icao	icao	PROPN
app01-10622	20	39	are	be	AUX
app01-10622	20	40	often	often	ADV
app01-10622	20	41	overestimating	overestimate	VERB
app01-10622	20	42	the	the	DET
app01-10622	20	43	actual	actual	ADJ
app01-10622	20	44	values	value	NOUN
app01-10622	20	45	[	[	X
app01-10622	20	46	9	9	NUM
app01-10622	20	47	,	,	PUNCT
app01-10622	20	48	10	10	NUM
app01-10622	20	49	]	]	PUNCT
app01-10622	20	50	.	.	PUNCT
app01-10622	21	1	this	this	DET
app01-10622	21	2	uncertainty	uncertainty	NOUN
app01-10622	21	3	can	can	AUX
app01-10622	21	4	be	be	AUX
app01-10622	21	5	explained	explain	VERB
app01-10622	21	6	by	by	ADP
app01-10622	21	7	the	the	DET
app01-10622	21	8	presence	presence	NOUN
app01-10622	21	9	of	of	ADP
app01-10622	21	10	various	various	ADJ
app01-10622	21	11	factors	factor	NOUN
app01-10622	21	12	influencing	influence	VERB
app01-10622	21	13	the	the	DET
app01-10622	21	14	tim	tim	PROPN
app01-10622	21	15	values	value	NOUN
app01-10622	21	16	.	.	PUNCT
app01-10622	22	1	for	for	ADP
app01-10622	22	2	example	example	NOUN
app01-10622	22	3	,	,	PUNCT
app01-10622	22	4	one	one	NUM
app01-10622	22	5	study	study	NOUN
app01-10622	22	6	analyzed	analyze	VERB
app01-10622	22	7	the	the	DET
app01-10622	22	8	factors	factor	NOUN
app01-10622	22	9	influencing	influence	VERB
app01-10622	22	10	taxi	taxi	NOUN
app01-10622	22	11	time	time	NOUN
app01-10622	22	12	of	of	ADP
app01-10622	22	13	aircraft	aircraft	NOUN
app01-10622	22	14	and	and	CCONJ
app01-10622	22	15	hence	hence	ADV
app01-10622	22	16	the	the	DET
app01-10622	22	17	tim	tim	PROPN
app01-10622	22	18	for	for	ADP
app01-10622	22	19	the	the	DET
app01-10622	22	20	operating	operate	VERB
app01-10622	22	21	mode	mode	NOUN
app01-10622	22	22	idle	idle	NOUN
app01-10622	22	23	.	.	PUNCT
app01-10622	23	1	according	accord	VERB
app01-10622	23	2	to	to	ADP
app01-10622	23	3	its	its	PRON
app01-10622	23	4	presented	present	VERB
app01-10622	23	5	results	result	NOUN
app01-10622	23	6	,	,	PUNCT
app01-10622	23	7	the	the	DET
app01-10622	23	8	factors	factor	NOUN
app01-10622	23	9	ranged	range	VERB
app01-10622	23	10	from	from	ADP
app01-10622	23	11	weather	weather	NOUN
app01-10622	23	12	-	-	PUNCT
app01-10622	23	13	related	relate	VERB
app01-10622	23	14	factors	factor	NOUN
app01-10622	23	15	such	such	ADJ
app01-10622	23	16	as	as	ADP
app01-10622	23	17	wind	wind	NOUN
app01-10622	23	18	or	or	CCONJ
app01-10622	23	19	visibility	visibility	NOUN
app01-10622	23	20	to	to	ADP
app01-10622	23	21	traffic	traffic	NOUN
app01-10622	23	22	-	-	PUNCT
app01-10622	23	23	related	relate	VERB
app01-10622	23	24	factors	factor	NOUN
app01-10622	23	25	including	include	VERB
app01-10622	23	26	number	number	NOUN
app01-10622	23	27	of	of	ADP
app01-10622	23	28	movements	movement	NOUN
app01-10622	23	29	or	or	CCONJ
app01-10622	23	30	runway	runway	NOUN
app01-10622	23	31	occupancy	occupancy	NOUN
app01-10622	23	32	time	time	NOUN
app01-10622	23	33	[	[	X
app01-10622	23	34	11	11	NUM
app01-10622	23	35	]	]	PUNCT
app01-10622	23	36	.	.	PUNCT
app01-10622	24	1	attention	attention	NOUN
app01-10622	24	2	has	have	AUX
app01-10622	24	3	also	also	ADV
app01-10622	24	4	been	be	AUX
app01-10622	24	5	paid	pay	VERB
app01-10622	24	6	to	to	ADP
app01-10622	24	7	the	the	DET
app01-10622	24	8	lto	lto	PROPN
app01-10622	24	9	operating	operate	VERB
app01-10622	24	10	modes	mode	NOUN
app01-10622	24	11	climb	climb	VERB
app01-10622	24	12	-	-	PUNCT
app01-10622	24	13	out	out	NOUN
app01-10622	24	14	and	and	CCONJ
app01-10622	24	15	approach	approach	NOUN
app01-10622	24	16	,	,	PUNCT
app01-10622	24	17	which	which	PRON
app01-10622	24	18	are	be	AUX
app01-10622	24	19	influenced	influence	VERB
app01-10622	24	20	,	,	PUNCT
app01-10622	24	21	among	among	ADP
app01-10622	24	22	other	other	ADJ
app01-10622	24	23	factors	factor	NOUN
app01-10622	24	24	,	,	PUNCT
app01-10622	24	25	by	by	ADP
app01-10622	24	26	the	the	DET
app01-10622	24	27	definition	definition	NOUN
app01-10622	24	28	of	of	ADP
app01-10622	24	29	the	the	DET
app01-10622	24	30	so	so	ADV
app01-10622	24	31	-	-	PUNCT
app01-10622	24	32	called	call	VERB
app01-10622	24	33	mixing	mix	VERB
app01-10622	24	34	height	height	NOUN
app01-10622	24	35	.	.	PUNCT
app01-10622	25	1	the	the	DET
app01-10622	25	2	mixing	mix	VERB
app01-10622	25	3	height	height	NOUN
app01-10622	25	4	(	(	PUNCT
app01-10622	25	5	or	or	CCONJ
app01-10622	25	6	the	the	DET
app01-10622	25	7	mixing	mix	VERB
app01-10622	25	8	layer	layer	NOUN
app01-10622	25	9	height	height	NOUN
app01-10622	25	10	)	)	PUNCT
app01-10622	25	11	is	be	AUX
app01-10622	25	12	a	a	DET
app01-10622	25	13	parameter	parameter	NOUN
app01-10622	25	14	which	which	PRON
app01-10622	25	15	influences	influence	VERB
app01-10622	25	16	the	the	DET
app01-10622	25	17	dispersion	dispersion	NOUN
app01-10622	25	18	of	of	ADP
app01-10622	25	19	pollutants	pollutant	NOUN
app01-10622	25	20	near	near	ADP
app01-10622	25	21	the	the	DET
app01-10622	25	22	surface	surface	NOUN
app01-10622	25	23	,	,	PUNCT
app01-10622	25	24	including	include	VERB
app01-10622	25	25	aircraft	aircraft	NOUN
app01-10622	25	26	emissions	emission	NOUN
app01-10622	25	27	.	.	PUNCT
app01-10622	26	1	pollutants	pollutant	NOUN
app01-10622	26	2	emitted	emit	VERB
app01-10622	26	3	below	below	ADP
app01-10622	26	4	it	it	PRON
app01-10622	26	5	have	have	VERB
app01-10622	26	6	a	a	DET
app01-10622	26	7	direct	direct	ADJ
app01-10622	26	8	impact	impact	NOUN
app01-10622	26	9	on	on	ADP
app01-10622	26	10	local	local	ADJ
app01-10622	26	11	air	air	NOUN
app01-10622	26	12	quality	quality	NOUN
app01-10622	26	13	and	and	CCONJ
app01-10622	26	14	hence	hence	ADV
app01-10622	26	15	the	the	DET
app01-10622	26	16	health	health	NOUN
app01-10622	26	17	of	of	ADP
app01-10622	26	18	the	the	DET
app01-10622	26	19	local	local	ADJ
app01-10622	26	20	population	population	NOUN
app01-10622	27	1	[	[	X
app01-10622	27	2	12	12	NUM
app01-10622	27	3	]	]	PUNCT
app01-10622	27	4	.	.	PUNCT
app01-10622	28	1	the	the	DET
app01-10622	28	2	icao	icao	PROPN
app01-10622	28	3	standards	standard	NOUN
app01-10622	28	4	assume	assume	VERB
app01-10622	28	5	a	a	DET
app01-10622	28	6	constant	constant	ADJ
app01-10622	28	7	mixing	mix	VERB
app01-10622	28	8	height	height	NOUN
app01-10622	28	9	of	of	ADP
app01-10622	28	10	3	3	NUM
app01-10622	28	11	000	000	NUM
app01-10622	28	12	feet	foot	NOUN
app01-10622	28	13	agl	agl	NOUN
app01-10622	28	14	.	.	PUNCT
app01-10622	29	1	since	since	SCONJ
app01-10622	29	2	the	the	DET
app01-10622	29	3	mixing	mix	VERB
app01-10622	29	4	height	height	NOUN
app01-10622	29	5	clearly	clearly	ADV
app01-10622	29	6	influences	influence	VERB
app01-10622	29	7	the	the	DET
app01-10622	29	8	tim	tim	PROPN
app01-10622	29	9	of	of	ADP
app01-10622	29	10	the	the	DET
app01-10622	29	11	mentioned	mention	VERB
app01-10622	29	12	operating	operating	NOUN
app01-10622	29	13	modes	mode	NOUN
app01-10622	29	14	,	,	PUNCT
app01-10622	29	15	some	some	DET
app01-10622	29	16	studies	study	NOUN
app01-10622	29	17	have	have	AUX
app01-10622	29	18	considered	consider	VERB
app01-10622	29	19	its	its	PRON
app01-10622	29	20	value	value	NOUN
app01-10622	29	21	variable	variable	NOUN
app01-10622	29	22	rather	rather	ADV
app01-10622	29	23	than	than	ADP
app01-10622	29	24	constant	constant	ADJ
app01-10622	29	25	while	while	SCONJ
app01-10622	29	26	determining	determine	VERB
app01-10622	29	27	the	the	DET
app01-10622	29	28	tim	tim	PROPN
app01-10622	29	29	values	value	NOUN
app01-10622	29	30	[	[	X
app01-10622	29	31	13–16	13–16	NUM
app01-10622	29	32	]	]	X
app01-10622	29	33	.	.	PUNCT
app01-10622	30	1	other	other	ADJ
app01-10622	30	2	studies	study	NOUN
app01-10622	30	3	have	have	AUX
app01-10622	30	4	included	include	VERB
app01-10622	30	5	the	the	DET
app01-10622	30	6	evaluation	evaluation	NOUN
app01-10622	30	7	of	of	ADP
app01-10622	30	8	the	the	DET
app01-10622	30	9	tim	tim	PROPN
app01-10622	30	10	values	value	NOUN
app01-10622	30	11	without	without	ADP
app01-10622	30	12	considering	consider	VERB
app01-10622	30	13	this	this	DET
app01-10622	30	14	factor	factor	NOUN
app01-10622	30	15	[	[	X
app01-10622	30	16	10	10	NUM
app01-10622	30	17	,	,	PUNCT
app01-10622	30	18	17–20	17–20	NUM
app01-10622	30	19	]	]	PUNCT
app01-10622	30	20	.	.	PUNCT
app01-10622	31	1	122	122	NUM
app01-10622	31	2	https://doi.org/10.14311/app.2025.52.0122	https://doi.org/10.14311/app.2025.52.0122	PROPN
app01-10622	31	3	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
app01-10622	31	4	https://www.cvut.cz/en	https://www.cvut.cz/en	PROPN
app01-10622	31	5	vol	vol	NOUN
app01-10622	31	6	.	.	PUNCT
app01-10622	32	1	52/2025	52/2025	NUM
app01-10622	32	2	modeling	modeling	NOUN
app01-10622	32	3	of	of	ADP
app01-10622	32	4	lto	lto	PROPN
app01-10622	32	5	approach	approach	PROPN
app01-10622	32	6	time	time	NOUN
app01-10622	32	7	-	-	PUNCT
app01-10622	32	8	in	in	ADP
app01-10622	32	9	-	-	PUNCT
app01-10622	32	10	mode	mode	NOUN
app01-10622	32	11	values	value	NOUN
app01-10622	32	12	in	in	ADP
app01-10622	32	13	this	this	DET
app01-10622	32	14	paper	paper	NOUN
app01-10622	32	15	,	,	PUNCT
app01-10622	32	16	we	we	PRON
app01-10622	32	17	focus	focus	VERB
app01-10622	32	18	on	on	ADP
app01-10622	32	19	the	the	DET
app01-10622	32	20	approach	approach	NOUN
app01-10622	32	21	operating	operate	VERB
app01-10622	32	22	mode	mode	NOUN
app01-10622	32	23	of	of	ADP
app01-10622	32	24	the	the	DET
app01-10622	32	25	lto	lto	PROPN
app01-10622	32	26	cycle	cycle	NOUN
app01-10622	32	27	,	,	PUNCT
app01-10622	32	28	specifically	specifically	ADV
app01-10622	32	29	on	on	ADP
app01-10622	32	30	the	the	DET
app01-10622	32	31	modeling	modeling	NOUN
app01-10622	32	32	and	and	CCONJ
app01-10622	32	33	predicting	predicting	NOUN
app01-10622	32	34	of	of	ADP
app01-10622	32	35	its	its	PRON
app01-10622	32	36	tim	tim	PROPN
app01-10622	32	37	values	value	NOUN
app01-10622	32	38	for	for	ADP
app01-10622	32	39	two	two	NUM
app01-10622	32	40	aircraft	aircraft	NOUN
app01-10622	32	41	types	type	NOUN
app01-10622	32	42	.	.	PUNCT
app01-10622	33	1	for	for	ADP
app01-10622	33	2	this	this	DET
app01-10622	33	3	purpose	purpose	NOUN
app01-10622	33	4	,	,	PUNCT
app01-10622	33	5	data	datum	NOUN
app01-10622	33	6	on	on	ADP
app01-10622	33	7	real	real	ADJ
app01-10622	33	8	tim	tim	PROPN
app01-10622	33	9	values	value	NOUN
app01-10622	33	10	calculated	calculate	VERB
app01-10622	33	11	from	from	ADP
app01-10622	33	12	two	two	NUM
app01-10622	33	13	weeks	week	NOUN
app01-10622	33	14	’	'	PUNCT
app01-10622	33	15	worth	worth	NOUN
app01-10622	33	16	of	of	ADP
app01-10622	33	17	automatic	automatic	ADJ
app01-10622	33	18	dependent	dependent	ADJ
app01-10622	33	19	surveillance	surveillance	NOUN
app01-10622	33	20	–	–	PUNCT
app01-10622	33	21	broadcast	broadcast	NOUN
app01-10622	33	22	(	(	PUNCT
app01-10622	33	23	ads	ad	NOUN
app01-10622	33	24	-	-	PUNCT
app01-10622	33	25	b	b	NOUN
app01-10622	33	26	)	)	PUNCT
app01-10622	33	27	data	datum	NOUN
app01-10622	33	28	from	from	ADP
app01-10622	33	29	prague	prague	PROPN
app01-10622	33	30	václav	václav	PROPN
app01-10622	33	31	havel	havel	PROPN
app01-10622	33	32	airport	airport	PROPN
app01-10622	33	33	were	be	AUX
app01-10622	33	34	utilized	utilize	VERB
app01-10622	33	35	.	.	PUNCT
app01-10622	34	1	using	use	VERB
app01-10622	34	2	matlab	matlab	PROPN
app01-10622	34	3	,	,	PUNCT
app01-10622	34	4	random	random	ADJ
app01-10622	34	5	samples	sample	NOUN
app01-10622	34	6	of	of	ADP
app01-10622	34	7	the	the	DET
app01-10622	34	8	data	datum	NOUN
app01-10622	34	9	were	be	AUX
app01-10622	34	10	repeatedly	repeatedly	ADV
app01-10622	34	11	fitted	fit	VERB
app01-10622	34	12	with	with	ADP
app01-10622	34	13	the	the	DET
app01-10622	34	14	generalized	generalized	ADJ
app01-10622	34	15	extreme	extreme	ADJ
app01-10622	34	16	value	value	NOUN
app01-10622	34	17	distribution	distribution	NOUN
app01-10622	34	18	,	,	PUNCT
app01-10622	34	19	eventually	eventually	ADV
app01-10622	34	20	leading	lead	VERB
app01-10622	34	21	to	to	ADP
app01-10622	34	22	the	the	DET
app01-10622	34	23	estimation	estimation	NOUN
app01-10622	34	24	of	of	ADP
app01-10622	34	25	the	the	DET
app01-10622	34	26	probability	probability	NOUN
app01-10622	34	27	density	density	NOUN
app01-10622	34	28	functions	function	NOUN
app01-10622	34	29	(	(	PUNCT
app01-10622	34	30	pdf	pdf	NOUN
app01-10622	34	31	)	)	PUNCT
app01-10622	34	32	of	of	ADP
app01-10622	34	33	its	its	PRON
app01-10622	34	34	parameters	parameter	NOUN
app01-10622	34	35	.	.	PUNCT
app01-10622	35	1	from	from	ADP
app01-10622	35	2	these	these	PRON
app01-10622	35	3	,	,	PUNCT
app01-10622	35	4	point	point	NOUN
app01-10622	35	5	estimates	estimate	NOUN
app01-10622	35	6	of	of	ADP
app01-10622	35	7	the	the	DET
app01-10622	35	8	distribution	distribution	NOUN
app01-10622	35	9	parameters	parameter	NOUN
app01-10622	35	10	were	be	AUX
app01-10622	35	11	made	make	VERB
app01-10622	35	12	,	,	PUNCT
app01-10622	35	13	and	and	CCONJ
app01-10622	35	14	the	the	DET
app01-10622	35	15	resulting	result	VERB
app01-10622	35	16	model	model	NOUN
app01-10622	35	17	was	be	AUX
app01-10622	35	18	then	then	ADV
app01-10622	35	19	used	use	VERB
app01-10622	35	20	to	to	PART
app01-10622	35	21	generate	generate	VERB
app01-10622	35	22	tim	tim	PROPN
app01-10622	35	23	values	value	NOUN
app01-10622	35	24	.	.	PUNCT
app01-10622	36	1	the	the	DET
app01-10622	36	2	predicted	predict	VERB
app01-10622	36	3	tim	tim	PROPN
app01-10622	36	4	values	value	NOUN
app01-10622	36	5	were	be	AUX
app01-10622	36	6	then	then	ADV
app01-10622	36	7	compared	compare	VERB
app01-10622	36	8	with	with	ADP
app01-10622	36	9	the	the	DET
app01-10622	36	10	real	real	ADJ
app01-10622	36	11	data	datum	NOUN
app01-10622	36	12	and	and	CCONJ
app01-10622	36	13	the	the	DET
app01-10622	36	14	performance	performance	NOUN
app01-10622	36	15	of	of	ADP
app01-10622	36	16	the	the	DET
app01-10622	36	17	model	model	NOUN
app01-10622	36	18	was	be	AUX
app01-10622	36	19	evaluated	evaluate	VERB
app01-10622	36	20	using	use	VERB
app01-10622	36	21	defined	define	VERB
app01-10622	36	22	metrics	metric	NOUN
app01-10622	36	23	.	.	PUNCT
app01-10622	37	1	the	the	DET
app01-10622	37	2	presented	present	VERB
app01-10622	37	3	results	result	NOUN
app01-10622	37	4	show	show	VERB
app01-10622	37	5	a	a	DET
app01-10622	37	6	good	good	ADJ
app01-10622	37	7	performance	performance	NOUN
app01-10622	37	8	of	of	ADP
app01-10622	37	9	the	the	DET
app01-10622	37	10	model	model	NOUN
app01-10622	37	11	,	,	PUNCT
app01-10622	37	12	demonstrating	demonstrate	VERB
app01-10622	37	13	the	the	DET
app01-10622	37	14	feasibility	feasibility	NOUN
app01-10622	37	15	of	of	ADP
app01-10622	37	16	this	this	DET
app01-10622	37	17	approach	approach	NOUN
app01-10622	37	18	with	with	ADP
app01-10622	37	19	practical	practical	ADJ
app01-10622	37	20	implications	implication	NOUN
app01-10622	37	21	for	for	ADP
app01-10622	37	22	the	the	DET
app01-10622	37	23	development	development	NOUN
app01-10622	37	24	of	of	ADP
app01-10622	37	25	airport	airport	NOUN
app01-10622	37	26	emission	emission	NOUN
app01-10622	37	27	inventories	inventory	NOUN
app01-10622	37	28	.	.	PUNCT
app01-10622	38	1	to	to	ADP
app01-10622	38	2	the	the	DET
app01-10622	38	3	best	good	ADJ
app01-10622	38	4	of	of	ADP
app01-10622	38	5	our	our	PRON
app01-10622	38	6	knowledge	knowledge	NOUN
app01-10622	38	7	,	,	PUNCT
app01-10622	38	8	this	this	PRON
app01-10622	38	9	is	be	AUX
app01-10622	38	10	the	the	DET
app01-10622	38	11	first	first	ADJ
app01-10622	38	12	paper	paper	NOUN
app01-10622	38	13	which	which	PRON
app01-10622	38	14	focuses	focus	VERB
app01-10622	38	15	on	on	ADP
app01-10622	38	16	the	the	DET
app01-10622	38	17	modeling	modeling	NOUN
app01-10622	38	18	of	of	ADP
app01-10622	38	19	the	the	DET
app01-10622	38	20	tim	tim	PROPN
app01-10622	38	21	values	value	NOUN
app01-10622	38	22	of	of	ADP
app01-10622	38	23	the	the	DET
app01-10622	38	24	approach	approach	NOUN
app01-10622	38	25	operating	operating	NOUN
app01-10622	38	26	mode	mode	NOUN
app01-10622	38	27	,	,	PUNCT
app01-10622	38	28	or	or	CCONJ
app01-10622	38	29	any	any	DET
app01-10622	38	30	lto	lto	PROPN
app01-10622	38	31	cycle	cycle	NOUN
app01-10622	38	32	operating	operating	NOUN
app01-10622	38	33	mode	mode	NOUN
app01-10622	38	34	in	in	ADP
app01-10622	38	35	general	general	ADJ
app01-10622	38	36	,	,	PUNCT
app01-10622	38	37	using	use	VERB
app01-10622	38	38	the	the	DET
app01-10622	38	39	generalized	generalized	ADJ
app01-10622	38	40	extreme	extreme	ADJ
app01-10622	38	41	value	value	NOUN
app01-10622	38	42	distribution	distribution	NOUN
app01-10622	38	43	.	.	PUNCT
app01-10622	39	1	2	2	X
app01-10622	39	2	.	.	X
app01-10622	39	3	materials	material	NOUN
app01-10622	39	4	and	and	CCONJ
app01-10622	39	5	methods	method	NOUN
app01-10622	39	6	2.1	2.1	NUM
app01-10622	39	7	.	.	PUNCT
app01-10622	40	1	data	datum	NOUN
app01-10622	40	2	used	use	VERB
app01-10622	40	3	in	in	ADP
app01-10622	40	4	this	this	DET
app01-10622	40	5	paper	paper	NOUN
app01-10622	40	6	,	,	PUNCT
app01-10622	40	7	a	a	DET
app01-10622	40	8	dataset	dataset	NOUN
app01-10622	40	9	resulting	result	VERB
app01-10622	40	10	from	from	ADP
app01-10622	40	11	one	one	NUM
app01-10622	40	12	of	of	ADP
app01-10622	40	13	the	the	DET
app01-10622	40	14	authors	author	NOUN
app01-10622	40	15	’	’	PART
app01-10622	40	16	previous	previous	ADJ
app01-10622	40	17	work	work	NOUN
app01-10622	40	18	[	[	X
app01-10622	40	19	21	21	NUM
app01-10622	40	20	]	]	PUNCT
app01-10622	40	21	was	be	AUX
app01-10622	40	22	used	use	VERB
app01-10622	40	23	.	.	PUNCT
app01-10622	41	1	this	this	DET
app01-10622	41	2	dataset	dataset	NOUN
app01-10622	41	3	originally	originally	ADV
app01-10622	41	4	included	include	VERB
app01-10622	41	5	the	the	DET
app01-10622	41	6	tim	tim	PROPN
app01-10622	41	7	values	value	NOUN
app01-10622	41	8	of	of	ADP
app01-10622	41	9	each	each	DET
app01-10622	41	10	operating	operate	VERB
app01-10622	41	11	mode	mode	NOUN
app01-10622	41	12	of	of	ADP
app01-10622	41	13	the	the	DET
app01-10622	41	14	lto	lto	PROPN
app01-10622	41	15	cycle	cycle	NOUN
app01-10622	41	16	of	of	ADP
app01-10622	41	17	individual	individual	ADJ
app01-10622	41	18	aircraft	aircraft	NOUN
app01-10622	41	19	movements	movement	NOUN
app01-10622	41	20	at	at	ADP
app01-10622	41	21	prague	prague	PROPN
app01-10622	41	22	václav	václav	PROPN
app01-10622	41	23	havel	havel	PROPN
app01-10622	41	24	airport	airport	PROPN
app01-10622	41	25	over	over	ADP
app01-10622	41	26	a	a	DET
app01-10622	41	27	two	two	NUM
app01-10622	41	28	-	-	PUNCT
app01-10622	41	29	week	week	NOUN
app01-10622	41	30	period	period	NOUN
app01-10622	41	31	(	(	PUNCT
app01-10622	41	32	17th–30th	17th–30th	PROPN
app01-10622	41	33	june	june	PROPN
app01-10622	41	34	2023	2023	NUM
app01-10622	41	35	)	)	PUNCT
app01-10622	41	36	.	.	PUNCT
app01-10622	42	1	these	these	DET
app01-10622	42	2	values	value	NOUN
app01-10622	42	3	had	have	AUX
app01-10622	42	4	been	be	AUX
app01-10622	42	5	estimated	estimate	VERB
app01-10622	42	6	using	use	VERB
app01-10622	42	7	ads	ad	NOUN
app01-10622	42	8	-	-	PUNCT
app01-10622	42	9	b	b	NOUN
app01-10622	42	10	surveillance	surveillance	NOUN
app01-10622	42	11	data	datum	NOUN
app01-10622	42	12	covering	cover	VERB
app01-10622	42	13	the	the	DET
app01-10622	42	14	airport	airport	NOUN
app01-10622	42	15	and	and	CCONJ
app01-10622	42	16	surrounding	surround	VERB
app01-10622	42	17	area	area	NOUN
app01-10622	42	18	that	that	PRON
app01-10622	42	19	were	be	AUX
app01-10622	42	20	provided	provide	VERB
app01-10622	42	21	by	by	ADP
app01-10622	42	22	the	the	DET
app01-10622	42	23	air	air	NOUN
app01-10622	42	24	navigation	navigation	PROPN
app01-10622	42	25	services	service	NOUN
app01-10622	42	26	of	of	ADP
app01-10622	42	27	the	the	DET
app01-10622	42	28	czech	czech	PROPN
app01-10622	42	29	republic	republic	NOUN
app01-10622	42	30	.	.	PUNCT
app01-10622	43	1	as	as	SCONJ
app01-10622	43	2	this	this	DET
app01-10622	43	3	paper	paper	NOUN
app01-10622	43	4	focuses	focus	VERB
app01-10622	43	5	on	on	ADP
app01-10622	43	6	the	the	DET
app01-10622	43	7	approach	approach	NOUN
app01-10622	43	8	lto	lto	PROPN
app01-10622	43	9	operating	operating	NOUN
app01-10622	43	10	mode	mode	NOUN
app01-10622	43	11	,	,	PUNCT
app01-10622	43	12	only	only	ADV
app01-10622	43	13	data	datum	NOUN
app01-10622	43	14	for	for	ADP
app01-10622	43	15	arrivals	arrival	NOUN
app01-10622	43	16	landing	land	VERB
app01-10622	43	17	on	on	ADP
app01-10622	43	18	runway	runway	NOUN
app01-10622	43	19	24	24	NUM
app01-10622	43	20	were	be	AUX
app01-10622	43	21	used	use	VERB
app01-10622	43	22	.	.	PUNCT
app01-10622	44	1	more	more	ADV
app01-10622	44	2	specifically	specifically	ADV
app01-10622	44	3	,	,	PUNCT
app01-10622	44	4	data	datum	NOUN
app01-10622	44	5	for	for	ADP
app01-10622	44	6	two	two	NUM
app01-10622	44	7	aircraft	aircraft	NOUN
app01-10622	44	8	types	type	NOUN
app01-10622	44	9	were	be	AUX
app01-10622	44	10	used	use	VERB
app01-10622	44	11	,	,	PUNCT
app01-10622	44	12	namely	namely	ADV
app01-10622	44	13	the	the	DET
app01-10622	44	14	boeing	boeing	PROPN
app01-10622	44	15	737	737	NUM
app01-10622	44	16	-	-	SYM
app01-10622	44	17	800	800	NUM
app01-10622	44	18	(	(	PUNCT
app01-10622	44	19	icao	icao	PROPN
app01-10622	44	20	code	code	PROPN
app01-10622	44	21	b738	b738	PROPN
app01-10622	44	22	;	;	PUNCT
app01-10622	44	23	n	n	PROPN
app01-10622	44	24	=	=	SYM
app01-10622	44	25	670	670	NUM
app01-10622	44	26	)	)	PUNCT
app01-10622	44	27	and	and	CCONJ
app01-10622	44	28	the	the	DET
app01-10622	44	29	airbus	airbus	PROPN
app01-10622	44	30	a320	a320	PROPN
app01-10622	44	31	(	(	PUNCT
app01-10622	44	32	icao	icao	PROPN
app01-10622	44	33	code	code	PROPN
app01-10622	44	34	a320	a320	PROPN
app01-10622	44	35	;	;	PUNCT
app01-10622	44	36	n	n	PROPN
app01-10622	44	37	=	=	SYM
app01-10622	44	38	366	366	NUM
app01-10622	44	39	)	)	PUNCT
app01-10622	44	40	;	;	PUNCT
app01-10622	44	41	these	these	DET
app01-10622	44	42	two	two	NUM
app01-10622	44	43	were	be	AUX
app01-10622	44	44	the	the	DET
app01-10622	44	45	most	most	ADV
app01-10622	44	46	commonly	commonly	ADV
app01-10622	44	47	represented	represent	VERB
app01-10622	44	48	aircraft	aircraft	NOUN
app01-10622	44	49	types	type	NOUN
app01-10622	44	50	within	within	ADP
app01-10622	44	51	the	the	DET
app01-10622	44	52	data	datum	NOUN
app01-10622	44	53	.	.	PUNCT
app01-10622	45	1	2.2	2.2	NUM
app01-10622	45	2	.	.	PUNCT
app01-10622	46	1	tim	tim	PROPN
app01-10622	46	2	estimation	estimation	PROPN
app01-10622	46	3	the	the	DET
app01-10622	46	4	tim	tim	PROPN
app01-10622	46	5	values	value	NOUN
app01-10622	46	6	from	from	ADP
app01-10622	46	7	the	the	DET
app01-10622	46	8	dataset	dataset	NOUN
app01-10622	46	9	mentioned	mention	VERB
app01-10622	46	10	in	in	ADP
app01-10622	46	11	2.1	2.1	NUM
app01-10622	46	12	,	,	PUNCT
app01-10622	46	13	used	use	VERB
app01-10622	46	14	in	in	ADP
app01-10622	46	15	this	this	DET
app01-10622	46	16	paper	paper	NOUN
app01-10622	46	17	,	,	PUNCT
app01-10622	46	18	were	be	AUX
app01-10622	46	19	originally	originally	ADV
app01-10622	46	20	estimated	estimate	VERB
app01-10622	46	21	from	from	ADP
app01-10622	46	22	the	the	DET
app01-10622	46	23	real	real	ADJ
app01-10622	46	24	aircraft	aircraft	NOUN
app01-10622	46	25	ads	ad	NOUN
app01-10622	46	26	-	-	PUNCT
app01-10622	46	27	b	b	NOUN
app01-10622	46	28	data	datum	NOUN
app01-10622	46	29	using	use	VERB
app01-10622	46	30	the	the	DET
app01-10622	46	31	procedure	procedure	NOUN
app01-10622	46	32	,	,	PUNCT
app01-10622	46	33	which	which	PRON
app01-10622	46	34	is	be	AUX
app01-10622	46	35	described	describe	VERB
app01-10622	46	36	in	in	ADP
app01-10622	46	37	this	this	DET
app01-10622	46	38	subsection	subsection	NOUN
app01-10622	46	39	for	for	ADP
app01-10622	46	40	the	the	DET
app01-10622	46	41	sake	sake	NOUN
app01-10622	46	42	of	of	ADP
app01-10622	46	43	completeness	completeness	NOUN
app01-10622	46	44	.	.	PUNCT
app01-10622	47	1	let	let	VERB
app01-10622	47	2	mi	mi	PROPN
app01-10622	47	3	,	,	PUNCT
app01-10622	47	4	j	j	PROPN
app01-10622	47	5	be	be	VERB
app01-10622	47	6	an	an	DET
app01-10622	47	7	ads	ad	NOUN
app01-10622	47	8	-	-	PUNCT
app01-10622	47	9	b	b	NOUN
app01-10622	47	10	message	message	NOUN
app01-10622	47	11	broadcast	broadcast	VERB
app01-10622	47	12	by	by	ADP
app01-10622	47	13	aircraft	aircraft	NOUN
app01-10622	47	14	movement	movement	PROPN
app01-10622	47	15	j	j	PROPN
app01-10622	47	16	;	;	PUNCT
app01-10622	47	17	where	where	SCONJ
app01-10622	47	18	i	i	PRON
app01-10622	47	19	∈	∈	VERB
app01-10622	47	20	1	1	NUM
app01-10622	47	21	,	,	PUNCT
app01-10622	47	22	...	...	PUNCT
app01-10622	47	23	,	,	PUNCT
app01-10622	47	24	nmsg	nmsg	NOUN
app01-10622	47	25	and	and	CCONJ
app01-10622	47	26	nmsg	nmsg	NOUN
app01-10622	47	27	is	be	AUX
app01-10622	47	28	the	the	DET
app01-10622	47	29	number	number	NOUN
app01-10622	47	30	of	of	ADP
app01-10622	47	31	messages	message	NOUN
app01-10622	47	32	.	.	PUNCT
app01-10622	48	1	then	then	ADV
app01-10622	48	2	,	,	PUNCT
app01-10622	48	3	let	let	VERB
app01-10622	48	4	hi	hi	INTJ
app01-10622	48	5	,	,	PUNCT
app01-10622	48	6	j	j	PROPN
app01-10622	48	7	be	be	VERB
app01-10622	48	8	the	the	DET
app01-10622	48	9	geometric	geometric	ADJ
app01-10622	48	10	height	height	NOUN
app01-10622	48	11	and	and	CCONJ
app01-10622	48	12	bvri	bvri	NOUN
app01-10622	48	13	,	,	PUNCT
app01-10622	48	14	j	j	PROPN
app01-10622	48	15	be	be	VERB
app01-10622	48	16	the	the	DET
app01-10622	48	17	barometric	barometric	ADJ
app01-10622	48	18	vertical	vertical	ADJ
app01-10622	48	19	rate	rate	NOUN
app01-10622	48	20	broadcast	broadcast	VERB
app01-10622	48	21	by	by	ADP
app01-10622	48	22	the	the	DET
app01-10622	48	23	aircraft	aircraft	NOUN
app01-10622	48	24	at	at	ADP
app01-10622	48	25	time	time	NOUN
app01-10622	48	26	ti	ti	PROPN
app01-10622	48	27	,	,	PUNCT
app01-10622	48	28	j	j	PROPN
app01-10622	48	29	within	within	ADP
app01-10622	48	30	message	message	PROPN
app01-10622	48	31	mi	mi	PROPN
app01-10622	48	32	,	,	PUNCT
app01-10622	48	33	j	j	PROPN
app01-10622	48	34	,	,	PUNCT
app01-10622	48	35	and	and	CCONJ
app01-10622	48	36	let	let	VERB
app01-10622	48	37	hgnd	hgnd	NOUN
app01-10622	48	38	,	,	PUNCT
app01-10622	48	39	j	j	PROPN
app01-10622	48	40	be	be	VERB
app01-10622	48	41	the	the	DET
app01-10622	48	42	geometric	geometric	ADJ
app01-10622	48	43	height	height	NOUN
app01-10622	48	44	broadcast	broadcast	VERB
app01-10622	48	45	by	by	ADP
app01-10622	48	46	the	the	DET
app01-10622	48	47	aircraft	aircraft	NOUN
app01-10622	48	48	while	while	SCONJ
app01-10622	48	49	on	on	ADP
app01-10622	48	50	the	the	DET
app01-10622	48	51	ground	ground	NOUN
app01-10622	48	52	.	.	PUNCT
app01-10622	49	1	as	as	SCONJ
app01-10622	49	2	the	the	DET
app01-10622	49	3	approach	approach	NOUN
app01-10622	49	4	lto	lto	PROPN
app01-10622	49	5	operating	operate	VERB
app01-10622	49	6	mode	mode	NOUN
app01-10622	49	7	begins	begin	VERB
app01-10622	49	8	by	by	ADP
app01-10622	49	9	descending	descend	VERB
app01-10622	49	10	below	below	ADP
app01-10622	49	11	the	the	DET
app01-10622	49	12	mixing	mix	VERB
app01-10622	49	13	height	height	NOUN
app01-10622	49	14	,	,	PUNCT
app01-10622	49	15	which	which	PRON
app01-10622	49	16	was	be	AUX
app01-10622	49	17	assumed	assume	VERB
app01-10622	49	18	to	to	PART
app01-10622	49	19	be	be	AUX
app01-10622	49	20	3	3	NUM
app01-10622	49	21	000	000	NUM
app01-10622	49	22	feet	foot	NOUN
app01-10622	49	23	above	above	ADP
app01-10622	49	24	ground	ground	NOUN
app01-10622	49	25	level	level	NOUN
app01-10622	49	26	(	(	PUNCT
app01-10622	49	27	agl	agl	NOUN
app01-10622	49	28	)	)	PUNCT
app01-10622	49	29	according	accord	VERB
app01-10622	49	30	to	to	ADP
app01-10622	49	31	icao	icao	PROPN
app01-10622	49	32	,	,	PUNCT
app01-10622	49	33	the	the	DET
app01-10622	49	34	first	first	ADJ
app01-10622	49	35	message	message	NOUN
app01-10622	49	36	satisfying	satisfy	VERB
app01-10622	49	37	the	the	DET
app01-10622	49	38	condition	condition	NOUN
app01-10622	49	39	hi	hi	INTJ
app01-10622	49	40	,	,	PUNCT
app01-10622	49	41	j	j	PROPN
app01-10622	49	42	<	<	X
app01-10622	49	43	(	(	PUNCT
app01-10622	49	44	hgnd	hgnd	PROPN
app01-10622	49	45	,	,	PUNCT
app01-10622	49	46	j	j	PROPN
app01-10622	49	47	+	+	NOUN
app01-10622	49	48	3000	3000	NUM
app01-10622	49	49	)	)	PUNCT
app01-10622	50	1	ft	ft	NOUN
app01-10622	50	2	while	while	SCONJ
app01-10622	50	3	i	i	PRON
app01-10622	50	4	>	>	X
app01-10622	50	5	1	1	NUM
app01-10622	50	6	was	be	AUX
app01-10622	50	7	found	find	VERB
app01-10622	50	8	.	.	PUNCT
app01-10622	51	1	the	the	DET
app01-10622	51	2	time	time	NOUN
app01-10622	51	3	of	of	ADP
app01-10622	51	4	descent	descent	NOUN
app01-10622	51	5	below	below	ADP
app01-10622	51	6	the	the	DET
app01-10622	51	7	mixing	mix	VERB
app01-10622	51	8	height	height	NOUN
app01-10622	51	9	,	,	PUNCT
app01-10622	51	10	tmh	tmh	PROPN
app01-10622	51	11	,	,	PUNCT
app01-10622	51	12	j	j	PROPN
app01-10622	51	13	,	,	PUNCT
app01-10622	51	14	was	be	AUX
app01-10622	51	15	then	then	ADV
app01-10622	51	16	assumed	assume	VERB
app01-10622	51	17	to	to	PART
app01-10622	51	18	be	be	AUX
app01-10622	51	19	between	between	ADP
app01-10622	51	20	ti−1,j	ti−1,j	NOUN
app01-10622	51	21	and	and	CCONJ
app01-10622	51	22	ti	ti	NOUN
app01-10622	51	23	,	,	PUNCT
app01-10622	51	24	j	j	PROPN
app01-10622	51	25	;	;	PUNCT
app01-10622	51	26	its	its	PRON
app01-10622	51	27	exact	exact	ADJ
app01-10622	51	28	value	value	NOUN
app01-10622	51	29	was	be	AUX
app01-10622	51	30	found	find	VERB
app01-10622	51	31	using	use	VERB
app01-10622	51	32	linear	linear	ADJ
app01-10622	51	33	interpolation	interpolation	NOUN
app01-10622	51	34	by	by	ADP
app01-10622	51	35	considering	consider	VERB
app01-10622	51	36	hi−1,j	hi−1,j	NOUN
app01-10622	51	37	and	and	CCONJ
app01-10622	51	38	hi	hi	INTJ
app01-10622	51	39	,	,	PUNCT
app01-10622	51	40	j	j	PROPN
app01-10622	51	41	.	.	PUNCT
app01-10622	52	1	the	the	DET
app01-10622	52	2	end	end	NOUN
app01-10622	52	3	of	of	ADP
app01-10622	52	4	the	the	DET
app01-10622	52	5	operating	operate	VERB
app01-10622	52	6	mode	mode	NOUN
app01-10622	52	7	was	be	AUX
app01-10622	52	8	then	then	ADV
app01-10622	52	9	given	give	VERB
app01-10622	52	10	as	as	ADP
app01-10622	52	11	the	the	DET
app01-10622	52	12	time	time	NOUN
app01-10622	52	13	of	of	ADP
app01-10622	52	14	flare	flare	NOUN
app01-10622	52	15	(	(	PUNCT
app01-10622	52	16	tf	tf	PROPN
app01-10622	52	17	l	l	NOUN
app01-10622	52	18	,	,	PUNCT
app01-10622	52	19	j	j	PROPN
app01-10622	52	20	)	)	PUNCT
app01-10622	52	21	,	,	PUNCT
app01-10622	52	22	which	which	PRON
app01-10622	52	23	is	be	AUX
app01-10622	52	24	the	the	DET
app01-10622	52	25	moment	moment	NOUN
app01-10622	52	26	when	when	SCONJ
app01-10622	52	27	engine	engine	NOUN
app01-10622	52	28	thrust	thrust	NOUN
app01-10622	52	29	is	be	AUX
app01-10622	52	30	reduced	reduce	VERB
app01-10622	52	31	to	to	PART
app01-10622	52	32	idle	idle	VERB
app01-10622	52	33	seconds	second	NOUN
app01-10622	52	34	before	before	SCONJ
app01-10622	52	35	the	the	DET
app01-10622	52	36	aircraft	aircraft	NOUN
app01-10622	52	37	touches	touch	VERB
app01-10622	52	38	down	down	ADP
app01-10622	52	39	on	on	ADP
app01-10622	52	40	the	the	DET
app01-10622	52	41	runway	runway	NOUN
app01-10622	52	42	.	.	PUNCT
app01-10622	53	1	since	since	SCONJ
app01-10622	53	2	the	the	DET
app01-10622	53	3	aircraft	aircraft	NOUN
app01-10622	53	4	nearly	nearly	ADV
app01-10622	53	5	levels	level	NOUN
app01-10622	53	6	out	out	ADP
app01-10622	53	7	briefly	briefly	ADV
app01-10622	53	8	during	during	ADP
app01-10622	53	9	the	the	DET
app01-10622	53	10	flare	flare	NOUN
app01-10622	53	11	,	,	PUNCT
app01-10622	53	12	the	the	DET
app01-10622	53	13	first	first	ADJ
app01-10622	53	14	message	message	NOUN
app01-10622	53	15	was	be	AUX
app01-10622	53	16	found	find	VERB
app01-10622	53	17	for	for	ADP
app01-10622	53	18	which	which	PRON
app01-10622	53	19	the	the	DET
app01-10622	53	20	condition	condition	NOUN
app01-10622	53	21	|bvri	|bvri	VERB
app01-10622	53	22	,	,	PUNCT
app01-10622	53	23	j	j	PROPN
app01-10622	54	1	|	|	ADV
app01-10622	54	2	<	<	X
app01-10622	54	3	200	200	NUM
app01-10622	54	4	ft	ft	NOUN
app01-10622	54	5	min−1	min−1	PROPN
app01-10622	54	6	while	while	SCONJ
app01-10622	54	7	(	(	PUNCT
app01-10622	54	8	hi	hi	INTJ
app01-10622	54	9	,	,	PUNCT
app01-10622	54	10	j	j	PROPN
app01-10622	54	11	−	−	PROPN
app01-10622	54	12	hgnd	hgnd	PROPN
app01-10622	54	13	,	,	PUNCT
app01-10622	54	14	j	j	NOUN
app01-10622	54	15	)	)	PUNCT
app01-10622	54	16	≤	≤	NOUN
app01-10622	54	17	50	50	NUM
app01-10622	54	18	ft	ft	NOUN
app01-10622	54	19	(	(	PUNCT
app01-10622	54	20	in	in	ADP
app01-10622	54	21	order	order	NOUN
app01-10622	54	22	to	to	PART
app01-10622	54	23	prevent	prevent	VERB
app01-10622	54	24	a	a	DET
app01-10622	54	25	false	false	ADJ
app01-10622	54	26	detection	detection	NOUN
app01-10622	54	27	of	of	ADP
app01-10622	54	28	flare	flare	NOUN
app01-10622	54	29	earlier	early	ADV
app01-10622	54	30	during	during	ADP
app01-10622	54	31	the	the	DET
app01-10622	54	32	approach	approach	NOUN
app01-10622	54	33	)	)	PUNCT
app01-10622	54	34	was	be	AUX
app01-10622	54	35	satisfied	satisfied	ADJ
app01-10622	54	36	.	.	PUNCT
app01-10622	55	1	then	then	ADV
app01-10622	55	2	,	,	PUNCT
app01-10622	55	3	the	the	DET
app01-10622	55	4	time	time	NOUN
app01-10622	55	5	tf	tf	X
app01-10622	55	6	l	l	NOUN
app01-10622	55	7	,	,	PUNCT
app01-10622	55	8	j	j	PROPN
app01-10622	55	9	was	be	AUX
app01-10622	55	10	given	give	VERB
app01-10622	55	11	as	as	SCONJ
app01-10622	55	12	the	the	DET
app01-10622	55	13	mean	mean	NOUN
app01-10622	55	14	of	of	ADP
app01-10622	55	15	ti−1,j	ti−1,j	NOUN
app01-10622	55	16	and	and	CCONJ
app01-10622	55	17	ti	ti	NOUN
app01-10622	55	18	,	,	PUNCT
app01-10622	55	19	j	j	PROPN
app01-10622	55	20	(	(	PUNCT
app01-10622	55	21	here	here	ADV
app01-10622	55	22	,	,	PUNCT
app01-10622	55	23	the	the	DET
app01-10622	55	24	mean	mean	NOUN
app01-10622	55	25	was	be	AUX
app01-10622	55	26	used	use	VERB
app01-10622	55	27	since	since	SCONJ
app01-10622	55	28	multiple	multiple	ADJ
app01-10622	55	29	parameters	parameter	NOUN
app01-10622	55	30	were	be	AUX
app01-10622	55	31	involved	involve	VERB
app01-10622	55	32	rather	rather	ADV
app01-10622	55	33	than	than	ADP
app01-10622	55	34	the	the	DET
app01-10622	55	35	single	single	ADJ
app01-10622	55	36	one	one	NUM
app01-10622	55	37	in	in	ADP
app01-10622	55	38	the	the	DET
app01-10622	55	39	case	case	NOUN
app01-10622	55	40	of	of	ADP
app01-10622	55	41	tmh	tmh	PROPN
app01-10622	55	42	,	,	PUNCT
app01-10622	55	43	j	j	PROPN
app01-10622	55	44	,	,	PUNCT
app01-10622	55	45	where	where	SCONJ
app01-10622	55	46	interpolation	interpolation	NOUN
app01-10622	55	47	could	could	AUX
app01-10622	55	48	be	be	AUX
app01-10622	55	49	done	do	VERB
app01-10622	55	50	)	)	PUNCT
app01-10622	55	51	.	.	PUNCT
app01-10622	56	1	having	having	AUX
app01-10622	56	2	found	find	VERB
app01-10622	56	3	both	both	DET
app01-10622	56	4	times	time	NOUN
app01-10622	56	5	,	,	PUNCT
app01-10622	56	6	the	the	DET
app01-10622	56	7	tim	tim	PROPN
app01-10622	56	8	value	value	NOUN
app01-10622	56	9	of	of	ADP
app01-10622	56	10	lto	lto	PROPN
app01-10622	56	11	operating	operate	VERB
app01-10622	56	12	mode	mode	NOUN
app01-10622	56	13	approach	approach	NOUN
app01-10622	56	14	for	for	ADP
app01-10622	56	15	aircraft	aircraft	NOUN
app01-10622	56	16	movement	movement	PROPN
app01-10622	56	17	j	j	PROPN
app01-10622	56	18	was	be	AUX
app01-10622	56	19	then	then	ADV
app01-10622	56	20	computed	compute	VERB
app01-10622	56	21	as	as	ADP
app01-10622	56	22	timj	timj	NOUN
app01-10622	56	23	=	=	PUNCT
app01-10622	56	24	tf	tf	PROPN
app01-10622	56	25	l	l	NOUN
app01-10622	56	26	,	,	PUNCT
app01-10622	56	27	j	j	PROPN
app01-10622	56	28	−	−	PROPN
app01-10622	56	29	tmh	tmh	PROPN
app01-10622	56	30	,	,	PUNCT
app01-10622	56	31	j	j	PROPN
app01-10622	56	32	.	.	PUNCT
app01-10622	57	1	2.3	2.3	NUM
app01-10622	57	2	.	.	PUNCT
app01-10622	57	3	estimation	estimation	NOUN
app01-10622	57	4	of	of	ADP
app01-10622	57	5	model	model	NOUN
app01-10622	57	6	parameters	parameter	NOUN
app01-10622	57	7	the	the	DET
app01-10622	57	8	aim	aim	NOUN
app01-10622	57	9	of	of	ADP
app01-10622	57	10	this	this	DET
app01-10622	57	11	paper	paper	NOUN
app01-10622	57	12	was	be	AUX
app01-10622	57	13	to	to	PART
app01-10622	57	14	model	model	VERB
app01-10622	57	15	the	the	DET
app01-10622	57	16	tim	tim	PROPN
app01-10622	57	17	values	value	NOUN
app01-10622	57	18	of	of	ADP
app01-10622	57	19	the	the	DET
app01-10622	57	20	approach	approach	NOUN
app01-10622	57	21	lto	lto	PROPN
app01-10622	57	22	operating	operating	NOUN
app01-10622	57	23	mode	mode	NOUN
app01-10622	57	24	,	,	PUNCT
app01-10622	57	25	which	which	PRON
app01-10622	57	26	was	be	AUX
app01-10622	57	27	done	do	VERB
app01-10622	57	28	separately	separately	ADV
app01-10622	57	29	for	for	ADP
app01-10622	57	30	the	the	DET
app01-10622	57	31	two	two	NUM
app01-10622	57	32	chosen	choose	VERB
app01-10622	57	33	aircraft	aircraft	NOUN
app01-10622	57	34	types	type	NOUN
app01-10622	57	35	.	.	PUNCT
app01-10622	58	1	during	during	ADP
app01-10622	58	2	initial	initial	ADJ
app01-10622	58	3	analysis	analysis	NOUN
app01-10622	58	4	of	of	ADP
app01-10622	58	5	the	the	DET
app01-10622	58	6	data	datum	NOUN
app01-10622	58	7	,	,	PUNCT
app01-10622	58	8	it	it	PRON
app01-10622	58	9	was	be	AUX
app01-10622	58	10	deemed	deem	VERB
app01-10622	58	11	that	that	SCONJ
app01-10622	58	12	the	the	DET
app01-10622	58	13	generalized	generalized	ADJ
app01-10622	58	14	extreme	extreme	ADJ
app01-10622	58	15	value	value	NOUN
app01-10622	58	16	(	(	PUNCT
app01-10622	58	17	gev	gev	NOUN
app01-10622	58	18	)	)	PUNCT
app01-10622	58	19	distribution	distribution	NOUN
app01-10622	58	20	was	be	AUX
app01-10622	58	21	the	the	DET
app01-10622	58	22	best	good	ADJ
app01-10622	58	23	option	option	NOUN
app01-10622	58	24	for	for	ADP
app01-10622	58	25	constructing	construct	VERB
app01-10622	58	26	the	the	DET
app01-10622	58	27	models	model	NOUN
app01-10622	58	28	in	in	ADP
app01-10622	58	29	both	both	DET
app01-10622	58	30	cases	case	NOUN
app01-10622	58	31	.	.	PUNCT
app01-10622	59	1	this	this	PRON
app01-10622	59	2	was	be	AUX
app01-10622	59	3	based	base	VERB
app01-10622	59	4	on	on	ADP
app01-10622	59	5	visual	visual	ADJ
app01-10622	59	6	analysis	analysis	NOUN
app01-10622	59	7	of	of	ADP
app01-10622	59	8	the	the	DET
app01-10622	59	9	shape	shape	NOUN
app01-10622	59	10	of	of	ADP
app01-10622	59	11	the	the	DET
app01-10622	59	12	histogram	histogram	NOUN
app01-10622	59	13	and	and	CCONJ
app01-10622	59	14	pdf	pdf	NOUN
app01-10622	59	15	fitted	fit	VERB
app01-10622	59	16	to	to	ADP
app01-10622	59	17	the	the	DET
app01-10622	59	18	real	real	ADJ
app01-10622	59	19	tim	tim	PROPN
app01-10622	59	20	values	value	NOUN
app01-10622	59	21	,	,	PUNCT
app01-10622	59	22	as	as	ADV
app01-10622	59	23	well	well	ADV
app01-10622	59	24	as	as	ADP
app01-10622	59	25	the	the	DET
app01-10622	59	26	standard	standard	ADJ
app01-10622	59	27	errors	error	NOUN
app01-10622	59	28	of	of	ADP
app01-10622	59	29	the	the	DET
app01-10622	59	30	distribution	distribution	NOUN
app01-10622	59	31	parameters	parameter	NOUN
app01-10622	59	32	according	accord	VERB
app01-10622	59	33	to	to	ADP
app01-10622	59	34	the	the	DET
app01-10622	59	35	distribution	distribution	NOUN
app01-10622	59	36	fitter	fitter	ADV
app01-10622	59	37	in	in	ADP
app01-10622	59	38	matlab	matlab	PROPN
app01-10622	59	39	.	.	PUNCT
app01-10622	60	1	therefore	therefore	ADV
app01-10622	60	2	,	,	PUNCT
app01-10622	60	3	further	further	ADJ
app01-10622	60	4	work	work	NOUN
app01-10622	60	5	in	in	ADP
app01-10622	60	6	this	this	DET
app01-10622	60	7	paper	paper	NOUN
app01-10622	60	8	focused	focus	VERB
app01-10622	60	9	solely	solely	ADV
app01-10622	60	10	on	on	ADP
app01-10622	60	11	this	this	DET
app01-10622	60	12	distribution	distribution	NOUN
app01-10622	60	13	,	,	PUNCT
app01-10622	60	14	with	with	ADP
app01-10622	60	15	the	the	DET
app01-10622	60	16	procedure	procedure	NOUN
app01-10622	60	17	being	be	AUX
app01-10622	60	18	identical	identical	ADJ
app01-10622	60	19	for	for	ADP
app01-10622	60	20	both	both	DET
app01-10622	60	21	aircraft	aircraft	NOUN
app01-10622	60	22	types	type	NOUN
app01-10622	60	23	.	.	PUNCT
app01-10622	61	1	the	the	DET
app01-10622	61	2	gev	gev	NOUN
app01-10622	61	3	distribution	distribution	NOUN
app01-10622	61	4	was	be	AUX
app01-10622	61	5	originally	originally	ADV
app01-10622	61	6	proposed	propose	VERB
app01-10622	61	7	in	in	ADP
app01-10622	61	8	the	the	DET
app01-10622	61	9	1950s	1950	NOUN
app01-10622	61	10	[	[	X
app01-10622	61	11	22	22	NUM
app01-10622	61	12	]	]	PUNCT
app01-10622	61	13	;	;	PUNCT
app01-10622	61	14	it	it	PRON
app01-10622	61	15	combines	combine	VERB
app01-10622	61	16	together	together	ADV
app01-10622	61	17	three	three	NUM
app01-10622	61	18	extreme	extreme	ADJ
app01-10622	61	19	value	value	NOUN
app01-10622	61	20	distributions	distribution	NOUN
app01-10622	61	21	,	,	PUNCT
app01-10622	61	22	namely	namely	ADV
app01-10622	61	23	the	the	DET
app01-10622	61	24	gumbel	gumbel	NOUN
app01-10622	61	25	,	,	PUNCT
app01-10622	61	26	weibull	weibull	PROPN
app01-10622	61	27	and	and	CCONJ
app01-10622	61	28	fréchet	fréchet	NOUN
app01-10622	61	29	distributions	distribution	NOUN
app01-10622	61	30	[	[	X
app01-10622	61	31	23	23	NUM
app01-10622	61	32	]	]	PUNCT
app01-10622	61	33	.	.	PUNCT
app01-10622	62	1	the	the	DET
app01-10622	62	2	pdf	pdf	NOUN
app01-10622	62	3	of	of	ADP
app01-10622	62	4	the	the	DET
app01-10622	62	5	gev	gev	NOUN
app01-10622	62	6	distribution	distribution	NOUN
app01-10622	62	7	of	of	ADP
app01-10622	62	8	variable	variable	NOUN
app01-10622	62	9	x	x	INTJ
app01-10622	62	10	(	(	PUNCT
app01-10622	62	11	in	in	ADP
app01-10622	62	12	this	this	DET
app01-10622	62	13	case	case	NOUN
app01-10622	62	14	the	the	DET
app01-10622	62	15	tim	tim	PROPN
app01-10622	62	16	value	value	NOUN
app01-10622	62	17	)	)	PUNCT
app01-10622	62	18	,	,	PUNCT
app01-10622	62	19	whose	whose	DET
app01-10622	62	20	formula	formula	NOUN
app01-10622	62	21	is	be	AUX
app01-10622	62	22	shown	show	VERB
app01-10622	62	23	in	in	ADP
app01-10622	62	24	equation	equation	NOUN
app01-10622	62	25	(	(	PUNCT
app01-10622	62	26	1	1	NUM
app01-10622	62	27	)	)	PUNCT
app01-10622	62	28	,	,	PUNCT
app01-10622	62	29	is	be	AUX
app01-10622	62	30	a	a	DET
app01-10622	62	31	function	function	NOUN
app01-10622	62	32	of	of	ADP
app01-10622	62	33	three	three	NUM
app01-10622	62	34	parameters	parameter	NOUN
app01-10622	62	35	–	–	PUNCT
app01-10622	62	36	the	the	DET
app01-10622	62	37	shape	shape	NOUN
app01-10622	62	38	parameter	parameter	NOUN
app01-10622	62	39	k	k	PROPN
app01-10622	62	40	,	,	PUNCT
app01-10622	62	41	scale	scale	NOUN
app01-10622	62	42	parameter	parameter	NOUN
app01-10622	62	43	σ	σ	PROPN
app01-10622	62	44	and	and	CCONJ
app01-10622	62	45	location	location	NOUN
app01-10622	62	46	parameter	parameter	PROPN
app01-10622	62	47	µ.	µ.	PROPN
app01-10622	62	48	based	base	VERB
app01-10622	62	49	on	on	ADP
app01-10622	62	50	the	the	DET
app01-10622	62	51	value	value	NOUN
app01-10622	62	52	of	of	ADP
app01-10622	62	53	k	k	PROPN
app01-10622	62	54	,	,	PUNCT
app01-10622	62	55	the	the	DET
app01-10622	62	56	function	function	NOUN
app01-10622	62	57	corresponds	correspond	VERB
app01-10622	62	58	to	to	ADP
app01-10622	62	59	one	one	NUM
app01-10622	62	60	of	of	ADP
app01-10622	62	61	the	the	DET
app01-10622	62	62	aforementioned	aforementioned	ADJ
app01-10622	62	63	distributions	distribution	NOUN
app01-10622	62	64	[	[	X
app01-10622	62	65	24	24	NUM
app01-10622	62	66	]	]	PUNCT
app01-10622	62	67	.	.	PUNCT
app01-10622	63	1	f(x|k	f(x|k	PROPN
app01-10622	63	2	,	,	PUNCT
app01-10622	63	3	µ	µ	NOUN
app01-10622	63	4	,	,	PUNCT
app01-10622	63	5	σ	σ	NOUN
app01-10622	63	6	)	)	PUNCT
app01-10622	63	7	=	=	SYM
app01-10622	64	1	σ−1	σ−1	PROPN
app01-10622	64	2	·	·	PUNCT
app01-10622	64	3	exp	exp	NOUN
app01-10622	64	4	{	{	PUNCT
app01-10622	64	5	−	−	PROPN
app01-10622	64	6	(	(	PUNCT
app01-10622	64	7	1	1	NUM
app01-10622	64	8	+	+	CCONJ
app01-10622	64	9	k	k	NOUN
app01-10622	64	10	·	·	PUNCT
app01-10622	64	11	(	(	PUNCT
app01-10622	64	12	x	x	X
app01-10622	64	13	−	−	PROPN
app01-10622	64	14	µ	µ	SYM
app01-10622	64	15	)	)	PUNCT
app01-10622	64	16	σ	σ	NOUN
app01-10622	64	17	)	)	PUNCT
app01-10622	64	18	−	−	PROPN
app01-10622	65	1	1	1	NUM
app01-10622	65	2	k	k	NOUN
app01-10622	65	3	}	}	PUNCT
app01-10622	65	4	·	·	PUNCT
app01-10622	65	5	(	(	PUNCT
app01-10622	65	6	1	1	NUM
app01-10622	65	7	+	+	CCONJ
app01-10622	65	8	k	k	NOUN
app01-10622	65	9	·	·	PUNCT
app01-10622	65	10	(	(	PUNCT
app01-10622	65	11	x	x	X
app01-10622	65	12	−	−	PROPN
app01-10622	65	13	µ	µ	SYM
app01-10622	65	14	)	)	PUNCT
app01-10622	65	15	σ	σ	NOUN
app01-10622	65	16	)	)	PUNCT
app01-10622	65	17	−	−	PROPN
app01-10622	66	1	k+1	k+1	X
app01-10622	66	2	k	k	X
app01-10622	66	3	(	(	PUNCT
app01-10622	66	4	1	1	X
app01-10622	66	5	)	)	PUNCT
app01-10622	66	6	the	the	DET
app01-10622	66	7	first	first	ADJ
app01-10622	66	8	step	step	NOUN
app01-10622	66	9	in	in	ADP
app01-10622	66	10	order	order	NOUN
app01-10622	66	11	to	to	PART
app01-10622	66	12	estimate	estimate	VERB
app01-10622	66	13	the	the	DET
app01-10622	66	14	model	model	NOUN
app01-10622	66	15	parameters	parameter	NOUN
app01-10622	66	16	θ̂	θ̂	X
app01-10622	66	17	=	=	SYM
app01-10622	66	18	{	{	PUNCT
app01-10622	66	19	k̂	k̂	PROPN
app01-10622	66	20	,	,	PUNCT
app01-10622	66	21	σ̂	σ̂	NUM
app01-10622	66	22	,	,	PUNCT
app01-10622	66	23	µ̂	µ̂	PRON
app01-10622	66	24	}	}	PUNCT
app01-10622	66	25	was	be	AUX
app01-10622	66	26	to	to	PART
app01-10622	66	27	estimate	estimate	VERB
app01-10622	66	28	the	the	DET
app01-10622	66	29	pdf	pdf	NOUN
app01-10622	66	30	for	for	ADP
app01-10622	66	31	each	each	PRON
app01-10622	66	32	of	of	ADP
app01-10622	66	33	the	the	DET
app01-10622	66	34	three	three	NUM
app01-10622	66	35	model	model	NOUN
app01-10622	66	36	parameters	parameter	NOUN
app01-10622	66	37	,	,	PUNCT
app01-10622	66	38	which	which	PRON
app01-10622	66	39	was	be	AUX
app01-10622	66	40	done	do	VERB
app01-10622	66	41	123	123	NUM
app01-10622	66	42	bo	bo	NOUN
app01-10622	66	43	stloukal	stloukal	NOUN
app01-10622	66	44	,	,	PUNCT
app01-10622	66	45	ivan	ivan	PROPN
app01-10622	66	46	nagy	nagy	PROPN
app01-10622	66	47	acta	acta	PROPN
app01-10622	66	48	polytechnica	polytechnica	PROPN
app01-10622	66	49	ctu	ctu	NOUN
app01-10622	66	50	proceedings	proceeding	NOUN
app01-10622	66	51	as	as	SCONJ
app01-10622	66	52	follows	follow	VERB
app01-10622	66	53	.	.	PUNCT
app01-10622	67	1	for	for	ADP
app01-10622	67	2	a	a	DET
app01-10622	67	3	total	total	NOUN
app01-10622	67	4	of	of	ADP
app01-10622	67	5	100	100	NUM
app01-10622	67	6	000	000	NUM
app01-10622	67	7	iterations	iteration	NOUN
app01-10622	67	8	,	,	PUNCT
app01-10622	67	9	a	a	DET
app01-10622	67	10	random	random	ADJ
app01-10622	67	11	sample	sample	NOUN
app01-10622	67	12	of	of	ADP
app01-10622	67	13	n/2	n/2	PRON
app01-10622	67	14	real	real	ADJ
app01-10622	67	15	tim	tim	PROPN
app01-10622	67	16	values	value	NOUN
app01-10622	67	17	(	(	PUNCT
app01-10622	67	18	i.e.	i.e.	X
app01-10622	67	19	,	,	PUNCT
app01-10622	67	20	50	50	NUM
app01-10622	67	21	%	%	NOUN
app01-10622	67	22	of	of	ADP
app01-10622	67	23	the	the	DET
app01-10622	67	24	data	datum	NOUN
app01-10622	67	25	)	)	PUNCT
app01-10622	67	26	was	be	AUX
app01-10622	67	27	first	first	ADV
app01-10622	67	28	selected	select	VERB
app01-10622	67	29	.	.	PUNCT
app01-10622	68	1	then	then	ADV
app01-10622	68	2	,	,	PUNCT
app01-10622	68	3	the	the	DET
app01-10622	68	4	gev	gev	NOUN
app01-10622	68	5	distribution	distribution	NOUN
app01-10622	68	6	was	be	AUX
app01-10622	68	7	fitted	fit	VERB
app01-10622	68	8	to	to	ADP
app01-10622	68	9	the	the	DET
app01-10622	68	10	data	datum	NOUN
app01-10622	68	11	;	;	PUNCT
app01-10622	68	12	its	its	PRON
app01-10622	68	13	parameters	parameter	NOUN
app01-10622	68	14	were	be	AUX
app01-10622	68	15	estimated	estimate	VERB
app01-10622	68	16	using	use	VERB
app01-10622	68	17	the	the	DET
app01-10622	68	18	gevfit	gevfit	ADJ
app01-10622	68	19	function	function	NOUN
app01-10622	68	20	in	in	ADP
app01-10622	68	21	matlab	matlab	PROPN
app01-10622	68	22	.	.	PUNCT
app01-10622	69	1	the	the	DET
app01-10622	69	2	parameters	parameter	NOUN
app01-10622	69	3	were	be	AUX
app01-10622	69	4	then	then	ADV
app01-10622	69	5	saved	save	VERB
app01-10622	69	6	for	for	ADP
app01-10622	69	7	further	further	ADJ
app01-10622	69	8	use	use	NOUN
app01-10622	69	9	;	;	PUNCT
app01-10622	69	10	at	at	ADP
app01-10622	69	11	the	the	DET
app01-10622	69	12	end	end	NOUN
app01-10622	69	13	,	,	PUNCT
app01-10622	69	14	there	there	PRON
app01-10622	69	15	was	be	VERB
app01-10622	69	16	a	a	DET
app01-10622	69	17	3	3	NUM
app01-10622	69	18	×	×	NOUN
app01-10622	69	19	100	100	NUM
app01-10622	69	20	000	000	NUM
app01-10622	69	21	matrix	matrix	NOUN
app01-10622	69	22	containing	contain	VERB
app01-10622	69	23	the	the	DET
app01-10622	69	24	parameters	parameter	NOUN
app01-10622	69	25	in	in	ADP
app01-10622	69	26	its	its	PRON
app01-10622	69	27	respective	respective	ADJ
app01-10622	69	28	rows	row	NOUN
app01-10622	69	29	.	.	PUNCT
app01-10622	70	1	the	the	DET
app01-10622	70	2	pdf	pdf	NOUN
app01-10622	70	3	for	for	ADP
app01-10622	70	4	each	each	DET
app01-10622	70	5	parameter	parameter	NOUN
app01-10622	70	6	(	(	PUNCT
app01-10622	70	7	i.e.	i.e.	X
app01-10622	70	8	,	,	PUNCT
app01-10622	70	9	for	for	ADP
app01-10622	70	10	each	each	DET
app01-10622	70	11	row	row	NOUN
app01-10622	70	12	of	of	ADP
app01-10622	70	13	the	the	DET
app01-10622	70	14	matrix	matrix	NOUN
app01-10622	70	15	)	)	PUNCT
app01-10622	70	16	were	be	AUX
app01-10622	70	17	then	then	ADV
app01-10622	70	18	estimated	estimate	VERB
app01-10622	70	19	using	use	VERB
app01-10622	70	20	kernel	kernel	PROPN
app01-10622	70	21	smoothing	smoothing	NOUN
app01-10622	70	22	(	(	PUNCT
app01-10622	70	23	matlab	matlab	PROPN
app01-10622	70	24	:	:	PUNCT
app01-10622	70	25	ksdensity	ksdensity	NOUN
app01-10622	70	26	)	)	PUNCT
app01-10622	70	27	.	.	PUNCT
app01-10622	71	1	from	from	ADP
app01-10622	71	2	each	each	DET
app01-10622	71	3	constructed	construct	VERB
app01-10622	71	4	pdf	pdf	NOUN
app01-10622	71	5	,	,	PUNCT
app01-10622	71	6	a	a	DET
app01-10622	71	7	point	point	NOUN
app01-10622	71	8	estimate	estimate	NOUN
app01-10622	71	9	of	of	ADP
app01-10622	71	10	the	the	DET
app01-10622	71	11	given	give	VERB
app01-10622	71	12	parameter	parameter	NOUN
app01-10622	71	13	used	use	VERB
app01-10622	71	14	for	for	ADP
app01-10622	71	15	the	the	DET
app01-10622	71	16	subsequent	subsequent	ADJ
app01-10622	71	17	model	model	NOUN
app01-10622	71	18	was	be	AUX
app01-10622	71	19	made	make	VERB
app01-10622	71	20	,	,	PUNCT
app01-10622	71	21	which	which	PRON
app01-10622	71	22	corresponded	correspond	VERB
app01-10622	71	23	to	to	ADP
app01-10622	71	24	the	the	DET
app01-10622	71	25	peak	peak	NOUN
app01-10622	71	26	of	of	ADP
app01-10622	71	27	the	the	DET
app01-10622	71	28	function	function	NOUN
app01-10622	71	29	(	(	PUNCT
app01-10622	71	30	i.e.	i.e.	X
app01-10622	71	31	,	,	PUNCT
app01-10622	71	32	the	the	DET
app01-10622	71	33	most	most	ADV
app01-10622	71	34	likely	likely	ADJ
app01-10622	71	35	value	value	NOUN
app01-10622	71	36	of	of	ADP
app01-10622	71	37	the	the	DET
app01-10622	71	38	parameter	parameter	NOUN
app01-10622	71	39	was	be	AUX
app01-10622	71	40	used	use	VERB
app01-10622	71	41	)	)	PUNCT
app01-10622	71	42	.	.	PUNCT
app01-10622	72	1	the	the	DET
app01-10622	72	2	resulting	result	VERB
app01-10622	72	3	point	point	NOUN
app01-10622	72	4	estimates	estimate	NOUN
app01-10622	72	5	θ̂	θ̂	NUM
app01-10622	72	6	were	be	AUX
app01-10622	72	7	then	then	ADV
app01-10622	72	8	used	use	VERB
app01-10622	72	9	further	far	ADV
app01-10622	72	10	as	as	ADP
app01-10622	72	11	model	model	NOUN
app01-10622	72	12	parameters	parameter	NOUN
app01-10622	72	13	.	.	PUNCT
app01-10622	73	1	2.4	2.4	NUM
app01-10622	73	2	.	.	PUNCT
app01-10622	73	3	evaluation	evaluation	NOUN
app01-10622	73	4	of	of	ADP
app01-10622	73	5	estimated	estimate	VERB
app01-10622	73	6	model	model	NOUN
app01-10622	73	7	once	once	SCONJ
app01-10622	73	8	the	the	DET
app01-10622	73	9	model	model	NOUN
app01-10622	73	10	parameters	parameter	NOUN
app01-10622	73	11	had	have	AUX
app01-10622	73	12	been	be	AUX
app01-10622	73	13	estimated	estimate	VERB
app01-10622	73	14	for	for	ADP
app01-10622	73	15	both	both	DET
app01-10622	73	16	aircraft	aircraft	NOUN
app01-10622	73	17	types	type	NOUN
app01-10622	73	18	,	,	PUNCT
app01-10622	73	19	it	it	PRON
app01-10622	73	20	was	be	AUX
app01-10622	73	21	possible	possible	ADJ
app01-10622	73	22	to	to	PART
app01-10622	73	23	make	make	VERB
app01-10622	73	24	predictions	prediction	NOUN
app01-10622	73	25	of	of	ADP
app01-10622	73	26	the	the	DET
app01-10622	73	27	tim	tim	PROPN
app01-10622	73	28	values	value	NOUN
app01-10622	73	29	(	(	PUNCT
app01-10622	73	30	τ̂	τ̂	NUM
app01-10622	73	31	)	)	PUNCT
app01-10622	73	32	using	use	VERB
app01-10622	73	33	the	the	DET
app01-10622	73	34	derived	derived	ADJ
app01-10622	73	35	models	model	NOUN
app01-10622	73	36	.	.	PUNCT
app01-10622	74	1	this	this	PRON
app01-10622	74	2	was	be	AUX
app01-10622	74	3	once	once	ADV
app01-10622	74	4	again	again	ADV
app01-10622	74	5	done	do	VERB
app01-10622	74	6	over	over	ADP
app01-10622	74	7	100	100	NUM
app01-10622	74	8	000	000	NUM
app01-10622	74	9	iterations	iteration	NOUN
app01-10622	74	10	.	.	PUNCT
app01-10622	75	1	in	in	ADP
app01-10622	75	2	each	each	DET
app01-10622	75	3	iteration	iteration	NOUN
app01-10622	75	4	,	,	PUNCT
app01-10622	75	5	n	n	PRON
app01-10622	75	6	tim	tim	PROPN
app01-10622	75	7	values	value	NOUN
app01-10622	75	8	were	be	AUX
app01-10622	75	9	generated	generate	VERB
app01-10622	75	10	using	use	VERB
app01-10622	75	11	the	the	DET
app01-10622	75	12	gevrnd	gevrnd	PROPN
app01-10622	75	13	function	function	NOUN
app01-10622	75	14	to	to	PART
app01-10622	75	15	match	match	VERB
app01-10622	75	16	the	the	DET
app01-10622	75	17	number	number	NOUN
app01-10622	75	18	of	of	ADP
app01-10622	75	19	real	real	ADJ
app01-10622	75	20	tim	tim	PROPN
app01-10622	75	21	values	value	NOUN
app01-10622	75	22	.	.	PUNCT
app01-10622	76	1	the	the	DET
app01-10622	76	2	tim	tim	PROPN
app01-10622	76	3	predictions	prediction	NOUN
app01-10622	76	4	were	be	AUX
app01-10622	76	5	then	then	ADV
app01-10622	76	6	evaluated	evaluate	VERB
app01-10622	76	7	for	for	ADP
app01-10622	76	8	both	both	DET
app01-10622	76	9	aircraft	aircraft	NOUN
app01-10622	76	10	types	type	NOUN
app01-10622	76	11	individually	individually	ADV
app01-10622	76	12	as	as	SCONJ
app01-10622	76	13	follows	follow	VERB
app01-10622	76	14	.	.	PUNCT
app01-10622	77	1	first	first	ADV
app01-10622	77	2	,	,	PUNCT
app01-10622	77	3	it	it	PRON
app01-10622	77	4	was	be	AUX
app01-10622	77	5	assessed	assess	VERB
app01-10622	77	6	whether	whether	SCONJ
app01-10622	77	7	the	the	DET
app01-10622	77	8	predictions	prediction	NOUN
app01-10622	77	9	{	{	PUNCT
app01-10622	77	10	τ̂j}n	τ̂j}n	NUM
app01-10622	77	11	j=1	j=1	PROPN
app01-10622	77	12	and	and	CCONJ
app01-10622	77	13	the	the	DET
app01-10622	77	14	real	real	ADJ
app01-10622	77	15	values	value	NOUN
app01-10622	77	16	{	{	PUNCT
app01-10622	77	17	τj}n	τj}n	PUNCT
app01-10622	77	18	j=1	j=1	PROPN
app01-10622	77	19	came	come	VERB
app01-10622	77	20	from	from	ADP
app01-10622	77	21	the	the	DET
app01-10622	77	22	same	same	ADJ
app01-10622	77	23	distribution	distribution	NOUN
app01-10622	77	24	.	.	PUNCT
app01-10622	78	1	this	this	PRON
app01-10622	78	2	was	be	AUX
app01-10622	78	3	done	do	VERB
app01-10622	78	4	using	use	VERB
app01-10622	78	5	the	the	DET
app01-10622	78	6	ranksum	ranksum	NOUN
app01-10622	78	7	(	(	PUNCT
app01-10622	78	8	mann	mann	PROPN
app01-10622	78	9	-	-	PUNCT
app01-10622	78	10	whitney	whitney	PROPN
app01-10622	78	11	u	u	NOUN
app01-10622	78	12	-	-	NOUN
app01-10622	78	13	test	test	NOUN
app01-10622	78	14	)	)	PUNCT
app01-10622	78	15	function	function	NOUN
app01-10622	78	16	in	in	ADP
app01-10622	78	17	matlab	matlab	PROPN
app01-10622	78	18	at	at	ADP
app01-10622	78	19	the	the	DET
app01-10622	78	20	default	default	NOUN
app01-10622	78	21	significance	significance	NOUN
app01-10622	78	22	level	level	NOUN
app01-10622	78	23	(	(	PUNCT
app01-10622	78	24	α	α	NOUN
app01-10622	78	25	=	=	NOUN
app01-10622	78	26	0.05	0.05	NUM
app01-10622	78	27	)	)	PUNCT
app01-10622	78	28	.	.	PUNCT
app01-10622	79	1	for	for	ADP
app01-10622	79	2	each	each	DET
app01-10622	79	3	iteration	iteration	NOUN
app01-10622	79	4	,	,	PUNCT
app01-10622	79	5	the	the	DET
app01-10622	79	6	p	p	NOUN
app01-10622	79	7	-	-	PUNCT
app01-10622	79	8	value	value	NOUN
app01-10622	79	9	was	be	AUX
app01-10622	79	10	saved	save	VERB
app01-10622	79	11	.	.	PUNCT
app01-10622	80	1	afterwards	afterwards	ADV
app01-10622	80	2	,	,	PUNCT
app01-10622	80	3	the	the	DET
app01-10622	80	4	proportion	proportion	NOUN
app01-10622	80	5	of	of	ADP
app01-10622	80	6	p	p	NOUN
app01-10622	80	7	-	-	PUNCT
app01-10622	80	8	values	value	NOUN
app01-10622	80	9	less	less	ADJ
app01-10622	80	10	than	than	ADP
app01-10622	80	11	α	α	NOUN
app01-10622	80	12	within	within	ADP
app01-10622	80	13	all	all	DET
app01-10622	80	14	p	p	NOUN
app01-10622	80	15	-	-	PUNCT
app01-10622	80	16	values	value	NOUN
app01-10622	80	17	was	be	AUX
app01-10622	80	18	evaluated	evaluate	VERB
app01-10622	80	19	;	;	PUNCT
app01-10622	80	20	this	this	DET
app01-10622	80	21	ratio	ratio	NOUN
app01-10622	80	22	πp	πp	PROPN
app01-10622	80	23	was	be	AUX
app01-10622	80	24	therefore	therefore	ADV
app01-10622	80	25	given	give	VERB
app01-10622	80	26	as	as	ADP
app01-10622	80	27	the	the	DET
app01-10622	80	28	probability	probability	NOUN
app01-10622	80	29	that	that	SCONJ
app01-10622	80	30	,	,	PUNCT
app01-10622	80	31	upon	upon	SCONJ
app01-10622	80	32	a	a	DET
app01-10622	80	33	simulation	simulation	NOUN
app01-10622	80	34	run	run	NOUN
app01-10622	80	35	,	,	PUNCT
app01-10622	80	36	the	the	DET
app01-10622	80	37	distribution	distribution	NOUN
app01-10622	80	38	of	of	ADP
app01-10622	80	39	the	the	DET
app01-10622	80	40	predicted	predict	VERB
app01-10622	80	41	tim	tim	PROPN
app01-10622	80	42	values	value	NOUN
app01-10622	80	43	would	would	AUX
app01-10622	80	44	be	be	AUX
app01-10622	80	45	different	different	ADJ
app01-10622	80	46	than	than	ADP
app01-10622	80	47	that	that	PRON
app01-10622	80	48	of	of	ADP
app01-10622	80	49	the	the	DET
app01-10622	80	50	actual	actual	ADJ
app01-10622	80	51	tim	tim	PROPN
app01-10622	80	52	values	value	NOUN
app01-10622	80	53	:	:	PUNCT
app01-10622	80	54	πp	πp	ADP
app01-10622	80	55	=	=	SYM
app01-10622	80	56	n(p<0.05	n(p<0.05	PROPN
app01-10622	80	57	)	)	PUNCT
app01-10622	80	58	100	100	NUM
app01-10622	80	59	000	000	NUM
app01-10622	80	60	,	,	PUNCT
app01-10622	80	61	(	(	PUNCT
app01-10622	80	62	2	2	X
app01-10622	80	63	)	)	PUNCT
app01-10622	80	64	where	where	SCONJ
app01-10622	80	65	n(p<0.05	n(p<0.05	PROPN
app01-10622	80	66	)	)	PUNCT
app01-10622	80	67	was	be	AUX
app01-10622	80	68	the	the	DET
app01-10622	80	69	number	number	NOUN
app01-10622	80	70	of	of	ADP
app01-10622	80	71	p	p	NOUN
app01-10622	80	72	-	-	PUNCT
app01-10622	80	73	values	value	NOUN
app01-10622	80	74	less	less	ADJ
app01-10622	80	75	than	than	ADP
app01-10622	80	76	0.05	0.05	NUM
app01-10622	80	77	.	.	PUNCT
app01-10622	81	1	next	next	ADJ
app01-10622	81	2	,	,	PUNCT
app01-10622	81	3	the	the	DET
app01-10622	81	4	so	so	ADV
app01-10622	81	5	-	-	PUNCT
app01-10622	81	6	called	call	VERB
app01-10622	81	7	time	time	NOUN
app01-10622	81	8	sum	sum	NOUN
app01-10622	81	9	percentage	percentage	NOUN
app01-10622	81	10	error	error	NOUN
app01-10622	81	11	(	(	PUNCT
app01-10622	81	12	tspe	tspe	NOUN
app01-10622	81	13	)	)	PUNCT
app01-10622	81	14	was	be	AUX
app01-10622	81	15	introduced	introduce	VERB
app01-10622	81	16	and	and	CCONJ
app01-10622	81	17	evaluated	evaluate	VERB
app01-10622	81	18	for	for	ADP
app01-10622	81	19	each	each	DET
app01-10622	81	20	iteration	iteration	NOUN
app01-10622	81	21	.	.	PUNCT
app01-10622	82	1	the	the	DET
app01-10622	82	2	tspe	tspe	NOUN
app01-10622	82	3	estimated	estimate	VERB
app01-10622	82	4	the	the	DET
app01-10622	82	5	percentage	percentage	NOUN
app01-10622	82	6	difference	difference	NOUN
app01-10622	82	7	in	in	ADP
app01-10622	82	8	the	the	DET
app01-10622	82	9	resulting	result	VERB
app01-10622	82	10	total	total	ADJ
app01-10622	82	11	amount	amount	NOUN
app01-10622	82	12	of	of	ADP
app01-10622	82	13	emissions	emission	NOUN
app01-10622	82	14	of	of	ADP
app01-10622	82	15	the	the	DET
app01-10622	82	16	aircraft	aircraft	NOUN
app01-10622	82	17	type	type	NOUN
app01-10622	82	18	during	during	ADP
app01-10622	82	19	the	the	DET
app01-10622	82	20	approach	approach	NOUN
app01-10622	82	21	operating	operate	VERB
app01-10622	82	22	mode	mode	NOUN
app01-10622	82	23	calculated	calculate	VERB
app01-10622	82	24	using	use	VERB
app01-10622	82	25	the	the	DET
app01-10622	82	26	predicted	predict	VERB
app01-10622	82	27	tim	tim	PROPN
app01-10622	82	28	values	value	NOUN
app01-10622	82	29	compared	compare	VERB
app01-10622	82	30	to	to	ADP
app01-10622	82	31	the	the	DET
app01-10622	82	32	emissions	emission	NOUN
app01-10622	82	33	where	where	SCONJ
app01-10622	82	34	real	real	ADJ
app01-10622	82	35	tim	tim	PROPN
app01-10622	82	36	values	value	NOUN
app01-10622	82	37	were	be	AUX
app01-10622	82	38	used	use	VERB
app01-10622	82	39	for	for	ADP
app01-10622	82	40	the	the	DET
app01-10622	82	41	calculations	calculation	NOUN
app01-10622	82	42	.	.	PUNCT
app01-10622	83	1	the	the	DET
app01-10622	83	2	tspe	tspe	NOUN
app01-10622	83	3	was	be	AUX
app01-10622	83	4	given	give	VERB
app01-10622	83	5	as	as	SCONJ
app01-10622	83	6	follows	follow	VERB
app01-10622	83	7	:	:	PUNCT
app01-10622	83	8	tspe	tspe	ADP
app01-10622	83	9	=	=	SYM
app01-10622	83	10	100	100	NUM
app01-10622	84	1	·	·	PUNCT
app01-10622	84	2	|σn	|σn	NUM
app01-10622	84	3	j=1τj	j=1τj	PROPN
app01-10622	84	4	−	−	PROPN
app01-10622	85	1	σn	σn	PROPN
app01-10622	85	2	j=1τ̂j	j=1τ̂j	PRON
app01-10622	86	1	|	|	ADV
app01-10622	86	2	σn	σn	NOUN
app01-10622	86	3	j=1τj	j=1τj	PROPN
app01-10622	86	4	,	,	PUNCT
app01-10622	86	5	(	(	PUNCT
app01-10622	86	6	3	3	X
app01-10622	86	7	)	)	PUNCT
app01-10622	86	8	where	where	SCONJ
app01-10622	86	9	σn	σn	X
app01-10622	86	10	j=1τj	j=1τj	PROPN
app01-10622	86	11	and	and	CCONJ
app01-10622	86	12	σn	σn	PRON
app01-10622	86	13	j=1τ̂j	j=1τ̂j	NOUN
app01-10622	86	14	were	be	AUX
app01-10622	86	15	the	the	DET
app01-10622	86	16	sums	sum	NOUN
app01-10622	86	17	of	of	ADP
app01-10622	86	18	all	all	DET
app01-10622	86	19	real	real	ADJ
app01-10622	86	20	and	and	CCONJ
app01-10622	86	21	predicted	predict	VERB
app01-10622	86	22	tim	tim	PROPN
app01-10622	86	23	values	value	NOUN
app01-10622	86	24	respectively	respectively	ADV
app01-10622	86	25	.	.	PUNCT
app01-10622	87	1	the	the	DET
app01-10622	87	2	mean	mean	NOUN
app01-10622	87	3	and	and	CCONJ
app01-10622	87	4	median	median	ADJ
app01-10622	87	5	tspe	tspe	NOUN
app01-10622	87	6	values	value	NOUN
app01-10622	87	7	were	be	AUX
app01-10622	87	8	then	then	ADV
app01-10622	87	9	determined	determine	VERB
app01-10622	87	10	,	,	PUNCT
app01-10622	87	11	as	as	ADV
app01-10622	87	12	well	well	ADV
app01-10622	87	13	as	as	ADP
app01-10622	87	14	the	the	DET
app01-10622	87	15	interquartile	interquartile	ADJ
app01-10622	87	16	range	range	NOUN
app01-10622	87	17	(	(	PUNCT
app01-10622	87	18	iqr	iqr	NOUN
app01-10622	87	19	)	)	PUNCT
app01-10622	87	20	.	.	PUNCT
app01-10622	88	1	finally	finally	ADV
app01-10622	88	2	,	,	PUNCT
app01-10622	88	3	in	in	ADP
app01-10622	88	4	every	every	DET
app01-10622	88	5	iteration	iteration	NOUN
app01-10622	88	6	,	,	PUNCT
app01-10622	88	7	both	both	PRON
app01-10622	88	8	of	of	ADP
app01-10622	88	9	the	the	DET
app01-10622	88	10	aforementioned	aforementioned	ADJ
app01-10622	88	11	sums	sum	NOUN
app01-10622	88	12	were	be	AUX
app01-10622	88	13	evaluated	evaluate	VERB
app01-10622	88	14	relative	relative	ADJ
app01-10622	88	15	to	to	ADP
app01-10622	88	16	the	the	DET
app01-10622	88	17	sum	sum	NOUN
app01-10622	88	18	σn	σn	PROPN
app01-10622	88	19	j=1240	j=1240	PROPN
app01-10622	88	20	=	=	PUNCT
app01-10622	88	21	240n	240n	PROPN
app01-10622	88	22	,	,	PUNCT
app01-10622	88	23	which	which	PRON
app01-10622	88	24	was	be	AUX
app01-10622	88	25	the	the	DET
app01-10622	88	26	total	total	ADJ
app01-10622	88	27	time	time	NOUN
app01-10622	88	28	sum	sum	NOUN
app01-10622	88	29	when	when	SCONJ
app01-10622	88	30	the	the	DET
app01-10622	88	31	standard	standard	ADJ
app01-10622	88	32	tim	tim	PROPN
app01-10622	88	33	value	value	NOUN
app01-10622	88	34	as	as	SCONJ
app01-10622	88	35	defined	define	VERB
app01-10622	88	36	by	by	ADP
app01-10622	88	37	icao	icao	PROPN
app01-10622	88	38	(	(	PUNCT
app01-10622	88	39	240	240	NUM
app01-10622	88	40	s	s	NOUN
app01-10622	88	41	)	)	PUNCT
app01-10622	88	42	was	be	AUX
app01-10622	88	43	used	use	VERB
app01-10622	88	44	for	for	ADP
app01-10622	88	45	all	all	DET
app01-10622	88	46	aircraft	aircraft	NOUN
app01-10622	88	47	movements	movement	NOUN
app01-10622	88	48	.	.	PUNCT
app01-10622	89	1	for	for	ADP
app01-10622	89	2	this	this	DET
app01-10622	89	3	purpose	purpose	NOUN
app01-10622	89	4	,	,	PUNCT
app01-10622	89	5	the	the	DET
app01-10622	89	6	relative	relative	ADJ
app01-10622	89	7	sum	sum	NOUN
app01-10622	89	8	closeness	closeness	NOUN
app01-10622	89	9	(	(	PUNCT
app01-10622	89	10	rsc	rsc	PROPN
app01-10622	89	11	)	)	PUNCT
app01-10622	89	12	metric	metric	NOUN
app01-10622	89	13	was	be	AUX
app01-10622	89	14	introduced	introduce	VERB
app01-10622	89	15	,	,	PUNCT
app01-10622	89	16	which	which	PRON
app01-10622	89	17	was	be	AUX
app01-10622	89	18	defined	define	VERB
app01-10622	89	19	as	as	SCONJ
app01-10622	89	20	follows	follow	VERB
app01-10622	89	21	:	:	PUNCT
app01-10622	89	22	rsc	rsc	PROPN
app01-10622	89	23	=	=	PUNCT
app01-10622	90	1	|σn	|σn	NUM
app01-10622	90	2	j=1τj	j=1τj	PROPN
app01-10622	90	3	−	−	PROPN
app01-10622	90	4	σn	σn	PROPN
app01-10622	90	5	j=1τ̂j	j=1τ̂j	NOUN
app01-10622	90	6	|	|	ADV
app01-10622	90	7	|σn	|σn	NUM
app01-10622	90	8	j=1τj	j=1τj	PROPN
app01-10622	90	9	−	−	PROPN
app01-10622	90	10	240n|	240n|	NUM
app01-10622	90	11	,	,	PUNCT
app01-10622	90	12	(	(	PUNCT
app01-10622	90	13	4	4	NUM
app01-10622	90	14	)	)	PUNCT
app01-10622	90	15	with	with	ADP
app01-10622	90	16	its	its	PRON
app01-10622	90	17	purpose	purpose	NOUN
app01-10622	90	18	being	be	AUX
app01-10622	90	19	to	to	PART
app01-10622	90	20	compare	compare	VERB
app01-10622	90	21	the	the	DET
app01-10622	90	22	resulting	result	VERB
app01-10622	90	23	total	total	ADJ
app01-10622	90	24	emissions	emission	NOUN
app01-10622	90	25	calculated	calculate	VERB
app01-10622	90	26	using	use	VERB
app01-10622	90	27	the	the	DET
app01-10622	90	28	predicted	predict	VERB
app01-10622	90	29	tim	tim	PROPN
app01-10622	90	30	values	value	NOUN
app01-10622	90	31	and	and	CCONJ
app01-10622	90	32	the	the	DET
app01-10622	90	33	standardized	standardized	ADJ
app01-10622	90	34	value	value	NOUN
app01-10622	90	35	.	.	PUNCT
app01-10622	91	1	for	for	ADP
app01-10622	91	2	rsc	rsc	PROPN
app01-10622	91	3	∈	∈	PROPN
app01-10622	91	4	⟨0	⟨0	PROPN
app01-10622	91	5	,	,	PUNCT
app01-10622	91	6	1	1	NUM
app01-10622	91	7	)	)	PUNCT
app01-10622	91	8	,	,	PUNCT
app01-10622	91	9	using	use	VERB
app01-10622	91	10	the	the	DET
app01-10622	91	11	predicted	predict	VERB
app01-10622	91	12	tim	tim	PROPN
app01-10622	91	13	values	value	NOUN
app01-10622	91	14	was	be	AUX
app01-10622	91	15	better	well	ADJ
app01-10622	91	16	than	than	ADP
app01-10622	91	17	using	use	VERB
app01-10622	91	18	the	the	DET
app01-10622	91	19	standardized	standardized	ADJ
app01-10622	91	20	tim	tim	PROPN
app01-10622	91	21	value	value	NOUN
app01-10622	91	22	in	in	ADP
app01-10622	91	23	terms	term	NOUN
app01-10622	91	24	of	of	ADP
app01-10622	91	25	resulting	result	VERB
app01-10622	91	26	accuracy	accuracy	NOUN
app01-10622	91	27	of	of	ADP
app01-10622	91	28	total	total	ADJ
app01-10622	91	29	calculated	calculate	VERB
app01-10622	91	30	emissions	emission	NOUN
app01-10622	91	31	,	,	PUNCT
app01-10622	91	32	and	and	CCONJ
app01-10622	91	33	vice	vice	ADV
app01-10622	91	34	versa	versa	ADV
app01-10622	91	35	for	for	ADP
app01-10622	91	36	rsc	rsc	PROPN
app01-10622	91	37	∈	∈	PROPN
app01-10622	91	38	(	(	PUNCT
app01-10622	91	39	1	1	NUM
app01-10622	91	40	,	,	PUNCT
app01-10622	91	41	+	+	NOUN
app01-10622	91	42	∞	∞	NOUN
app01-10622	91	43	)	)	PUNCT
app01-10622	91	44	.	.	PUNCT
app01-10622	92	1	alternatively	alternatively	ADV
app01-10622	92	2	,	,	PUNCT
app01-10622	92	3	the	the	DET
app01-10622	92	4	inverse	inverse	NOUN
app01-10622	92	5	value	value	NOUN
app01-10622	92	6	of	of	ADP
app01-10622	92	7	rsc	rsc	PROPN
app01-10622	92	8	shows	show	VERB
app01-10622	92	9	how	how	SCONJ
app01-10622	92	10	many	many	ADJ
app01-10622	92	11	times	time	NOUN
app01-10622	92	12	more	more	ADV
app01-10622	92	13	accurate	accurate	ADJ
app01-10622	92	14	the	the	DET
app01-10622	92	15	resulting	result	VERB
app01-10622	92	16	emissions	emission	NOUN
app01-10622	92	17	estimates	estimate	NOUN
app01-10622	92	18	were	be	AUX
app01-10622	92	19	after	after	ADP
app01-10622	92	20	using	use	VERB
app01-10622	92	21	the	the	DET
app01-10622	92	22	predicted	predict	VERB
app01-10622	92	23	tim	tim	PROPN
app01-10622	92	24	values	value	NOUN
app01-10622	92	25	instead	instead	ADV
app01-10622	92	26	of	of	ADP
app01-10622	92	27	the	the	DET
app01-10622	92	28	standard	standard	ADJ
app01-10622	92	29	value	value	NOUN
app01-10622	92	30	.	.	PUNCT
app01-10622	93	1	for	for	ADP
app01-10622	93	2	rsc	rsc	PROPN
app01-10622	93	3	,	,	PUNCT
app01-10622	93	4	the	the	DET
app01-10622	93	5	same	same	ADJ
app01-10622	93	6	statistical	statistical	ADJ
app01-10622	93	7	measures	measure	NOUN
app01-10622	93	8	as	as	ADP
app01-10622	93	9	for	for	ADP
app01-10622	93	10	tspe	tspe	NOUN
app01-10622	93	11	were	be	AUX
app01-10622	93	12	computed	compute	VERB
app01-10622	93	13	,	,	PUNCT
app01-10622	93	14	plus	plus	CCONJ
app01-10622	93	15	the	the	DET
app01-10622	93	16	coefficient	coefficient	NOUN
app01-10622	93	17	βrsc	βrsc	PROPN
app01-10622	93	18	,	,	PUNCT
app01-10622	93	19	which	which	PRON
app01-10622	93	20	was	be	AUX
app01-10622	93	21	given	give	VERB
app01-10622	93	22	as	as	ADP
app01-10622	93	23	the	the	DET
app01-10622	93	24	number	number	NOUN
app01-10622	93	25	of	of	ADP
app01-10622	93	26	rsc	rsc	PROPN
app01-10622	93	27	values	value	NOUN
app01-10622	93	28	that	that	PRON
app01-10622	93	29	were	be	AUX
app01-10622	93	30	less	less	ADJ
app01-10622	93	31	than	than	ADP
app01-10622	93	32	1	1	NUM
app01-10622	93	33	divided	divide	VERB
app01-10622	93	34	by	by	ADP
app01-10622	93	35	the	the	DET
app01-10622	93	36	total	total	ADJ
app01-10622	93	37	number	number	NOUN
app01-10622	93	38	of	of	ADP
app01-10622	93	39	rsc	rsc	PROPN
app01-10622	93	40	values	value	NOUN
app01-10622	93	41	(	(	PUNCT
app01-10622	93	42	i.e.	i.e.	X
app01-10622	93	43	,	,	PUNCT
app01-10622	93	44	100	100	NUM
app01-10622	93	45	000	000	NUM
app01-10622	93	46	)	)	PUNCT
app01-10622	93	47	.	.	PUNCT
app01-10622	94	1	this	this	DET
app01-10622	94	2	coefficient	coefficient	NOUN
app01-10622	94	3	therefore	therefore	ADV
app01-10622	94	4	gave	give	VERB
app01-10622	94	5	the	the	DET
app01-10622	94	6	probability	probability	NOUN
app01-10622	94	7	that	that	SCONJ
app01-10622	94	8	,	,	PUNCT
app01-10622	94	9	upon	upon	SCONJ
app01-10622	94	10	a	a	DET
app01-10622	94	11	simulation	simulation	NOUN
app01-10622	94	12	run	run	NOUN
app01-10622	94	13	,	,	PUNCT
app01-10622	94	14	using	use	VERB
app01-10622	94	15	the	the	DET
app01-10622	94	16	predicted	predict	VERB
app01-10622	94	17	tim	tim	PROPN
app01-10622	94	18	values	value	NOUN
app01-10622	94	19	would	would	AUX
app01-10622	94	20	bring	bring	VERB
app01-10622	94	21	more	more	ADV
app01-10622	94	22	accurate	accurate	ADJ
app01-10622	94	23	results	result	NOUN
app01-10622	94	24	regarding	regard	VERB
app01-10622	94	25	the	the	DET
app01-10622	94	26	total	total	ADJ
app01-10622	94	27	calculated	calculate	VERB
app01-10622	94	28	sum	sum	NOUN
app01-10622	94	29	of	of	ADP
app01-10622	94	30	emissions	emission	NOUN
app01-10622	94	31	than	than	ADP
app01-10622	94	32	when	when	SCONJ
app01-10622	94	33	using	use	VERB
app01-10622	94	34	the	the	DET
app01-10622	94	35	standard	standard	ADJ
app01-10622	94	36	tim	tim	PROPN
app01-10622	94	37	value	value	NOUN
app01-10622	94	38	.	.	PUNCT
app01-10622	95	1	3	3	X
app01-10622	95	2	.	.	X
app01-10622	95	3	results	result	NOUN
app01-10622	95	4	figure	figure	VERB
app01-10622	95	5	1	1	NUM
app01-10622	95	6	shows	show	VERB
app01-10622	95	7	the	the	DET
app01-10622	95	8	pdf	pdf	NOUN
app01-10622	95	9	for	for	ADP
app01-10622	95	10	the	the	DET
app01-10622	95	11	gev	gev	NOUN
app01-10622	95	12	distribution	distribution	NOUN
app01-10622	95	13	parameters	parameter	NOUN
app01-10622	95	14	k	k	PROPN
app01-10622	95	15	,	,	PUNCT
app01-10622	95	16	σ	σ	PROPN
app01-10622	95	17	and	and	CCONJ
app01-10622	95	18	µ	µ	PROPN
app01-10622	95	19	that	that	PRON
app01-10622	95	20	were	be	AUX
app01-10622	95	21	estimated	estimate	VERB
app01-10622	95	22	using	use	VERB
app01-10622	95	23	kernel	kernel	NOUN
app01-10622	95	24	smoothing	smooth	VERB
app01-10622	95	25	for	for	ADP
app01-10622	95	26	both	both	DET
app01-10622	95	27	aircraft	aircraft	NOUN
app01-10622	95	28	types	type	NOUN
app01-10622	95	29	.	.	PUNCT
app01-10622	96	1	based	base	VERB
app01-10622	96	2	on	on	ADP
app01-10622	96	3	the	the	DET
app01-10622	96	4	functions	function	NOUN
app01-10622	96	5	,	,	PUNCT
app01-10622	96	6	the	the	DET
app01-10622	96	7	point	point	NOUN
app01-10622	96	8	estimates	estimate	NOUN
app01-10622	96	9	of	of	ADP
app01-10622	96	10	the	the	DET
app01-10622	96	11	gev	gev	NOUN
app01-10622	96	12	distribution	distribution	NOUN
app01-10622	96	13	(	(	PUNCT
app01-10622	96	14	model	model	NOUN
app01-10622	96	15	)	)	PUNCT
app01-10622	96	16	parameters	parameter	NOUN
app01-10622	96	17	k̂	k̂	NUM
app01-10622	96	18	,	,	PUNCT
app01-10622	96	19	σ̂	σ̂	NUM
app01-10622	96	20	,	,	PUNCT
app01-10622	96	21	µ̂	µ̂	PRON
app01-10622	96	22	were	be	AUX
app01-10622	96	23	determined	determine	VERB
app01-10622	96	24	;	;	PUNCT
app01-10622	96	25	these	these	PRON
app01-10622	96	26	are	be	AUX
app01-10622	96	27	presented	present	VERB
app01-10622	96	28	in	in	ADP
app01-10622	96	29	table	table	NOUN
app01-10622	96	30	1	1	NUM
app01-10622	96	31	.	.	PUNCT
app01-10622	97	1	as	as	SCONJ
app01-10622	97	2	has	have	AUX
app01-10622	97	3	already	already	ADV
app01-10622	97	4	been	be	AUX
app01-10622	97	5	mentioned	mention	VERB
app01-10622	97	6	,	,	PUNCT
app01-10622	97	7	the	the	DET
app01-10622	97	8	probability	probability	NOUN
app01-10622	97	9	densities	density	NOUN
app01-10622	97	10	were	be	AUX
app01-10622	97	11	maximal	maximal	ADJ
app01-10622	97	12	for	for	ADP
app01-10622	97	13	these	these	DET
app01-10622	97	14	values	value	NOUN
app01-10622	97	15	.	.	PUNCT
app01-10622	98	1	parameter	parameter	NOUN
app01-10622	98	2	boeing	boeing	PROPN
app01-10622	98	3	737	737	NUM
app01-10622	98	4	-	-	SYM
app01-10622	98	5	800	800	NUM
app01-10622	98	6	airbus	airbus	PROPN
app01-10622	98	7	a320	a320	PROPN
app01-10622	98	8	k̂	k̂	NUM
app01-10622	98	9	0.093	0.093	NUM
app01-10622	98	10	0.393	0.393	NUM
app01-10622	98	11	σ̂	σ̂	PROPN
app01-10622	99	1	19.153	19.153	NUM
app01-10622	99	2	32.537	32.537	NUM
app01-10622	99	3	µ̂	µ̂	X
app01-10622	99	4	202.409	202.409	NUM
app01-10622	99	5	228.721	228.721	NUM
app01-10622	99	6	table	table	NOUN
app01-10622	99	7	1	1	NUM
app01-10622	99	8	.	.	PUNCT
app01-10622	99	9	estimated	estimate	VERB
app01-10622	99	10	gev	gev	NOUN
app01-10622	99	11	distribution	distribution	NOUN
app01-10622	99	12	parameters	parameter	NOUN
app01-10622	99	13	for	for	ADP
app01-10622	99	14	the	the	DET
app01-10622	99	15	boeing	boeing	PROPN
app01-10622	99	16	737	737	NUM
app01-10622	99	17	-	-	SYM
app01-10622	99	18	800	800	NUM
app01-10622	99	19	and	and	CCONJ
app01-10622	99	20	airbus	airbus	PROPN
app01-10622	99	21	a320	a320	PROPN
app01-10622	99	22	models	model	NOUN
app01-10622	99	23	.	.	PUNCT
app01-10622	100	1	upon	upon	SCONJ
app01-10622	100	2	estimating	estimate	VERB
app01-10622	100	3	the	the	DET
app01-10622	100	4	model	model	NOUN
app01-10622	100	5	parameters	parameter	NOUN
app01-10622	100	6	for	for	ADP
app01-10622	100	7	both	both	DET
app01-10622	100	8	aircraft	aircraft	NOUN
app01-10622	100	9	types	type	NOUN
app01-10622	100	10	,	,	PUNCT
app01-10622	100	11	predicted	predict	VERB
app01-10622	100	12	tim	tim	PROPN
app01-10622	100	13	values	value	NOUN
app01-10622	100	14	were	be	AUX
app01-10622	100	15	computed	compute	VERB
app01-10622	100	16	over	over	ADP
app01-10622	100	17	100	100	NUM
app01-10622	100	18	000	000	NUM
app01-10622	100	19	iterations	iteration	NOUN
app01-10622	100	20	and	and	CCONJ
app01-10622	100	21	compared	compare	VERB
app01-10622	100	22	with	with	ADP
app01-10622	100	23	the	the	DET
app01-10622	100	24	real	real	ADJ
app01-10622	100	25	values	value	NOUN
app01-10622	100	26	as	as	SCONJ
app01-10622	100	27	described	describe	VERB
app01-10622	100	28	earlier	early	ADV
app01-10622	100	29	.	.	PUNCT
app01-10622	101	1	the	the	DET
app01-10622	101	2	resulting	result	VERB
app01-10622	101	3	distributions	distribution	NOUN
app01-10622	101	4	of	of	ADP
app01-10622	101	5	the	the	DET
app01-10622	101	6	p	p	NOUN
app01-10622	101	7	-	-	PUNCT
app01-10622	101	8	values	value	NOUN
app01-10622	101	9	for	for	ADP
app01-10622	101	10	both	both	DET
app01-10622	101	11	aircraft	aircraft	NOUN
app01-10622	101	12	types	type	NOUN
app01-10622	101	13	are	be	AUX
app01-10622	101	14	plotted	plot	VERB
app01-10622	101	15	in	in	ADP
app01-10622	101	16	the	the	DET
app01-10622	101	17	histograms	histogram	NOUN
app01-10622	101	18	in	in	ADP
app01-10622	101	19	figure	figure	NOUN
app01-10622	101	20	2	2	NUM
app01-10622	101	21	,	,	PUNCT
app01-10622	101	22	where	where	SCONJ
app01-10622	101	23	the	the	DET
app01-10622	101	24	relative	relative	ADJ
app01-10622	101	25	frequencies	frequency	NOUN
app01-10622	101	26	are	be	AUX
app01-10622	101	27	shown	show	VERB
app01-10622	101	28	instead	instead	ADV
app01-10622	101	29	of	of	ADP
app01-10622	101	30	the	the	DET
app01-10622	101	31	absolute	absolute	ADJ
app01-10622	101	32	frequencies	frequency	NOUN
app01-10622	101	33	for	for	ADP
app01-10622	101	34	practical	practical	ADJ
app01-10622	101	35	reasons	reason	NOUN
app01-10622	101	36	.	.	PUNCT
app01-10622	102	1	it	it	PRON
app01-10622	102	2	should	should	AUX
app01-10622	102	3	be	be	AUX
app01-10622	102	4	noted	note	VERB
app01-10622	102	5	that	that	SCONJ
app01-10622	102	6	the	the	DET
app01-10622	102	7	width	width	NOUN
app01-10622	102	8	of	of	ADP
app01-10622	102	9	each	each	DET
app01-10622	102	10	bin	bin	NOUN
app01-10622	102	11	is	be	AUX
app01-10622	102	12	0.05	0.05	NUM
app01-10622	102	13	,	,	PUNCT
app01-10622	102	14	therefore	therefore	ADV
app01-10622	102	15	only	only	ADV
app01-10622	102	16	the	the	DET
app01-10622	102	17	leftmost	leftmost	PROPN
app01-10622	102	18	bin	bin	PROPN
app01-10622	102	19	corresponds	correspond	VERB
app01-10622	102	20	to	to	ADP
app01-10622	102	21	the	the	DET
app01-10622	102	22	rejection	rejection	NOUN
app01-10622	102	23	region	region	NOUN
app01-10622	102	24	(	(	PUNCT
app01-10622	102	25	where	where	SCONJ
app01-10622	102	26	p	p	X
app01-10622	102	27	<	<	X
app01-10622	102	28	0.05	0.05	NUM
app01-10622	102	29	)	)	PUNCT
app01-10622	102	30	–	–	PUNCT
app01-10622	102	31	this	this	DET
app01-10622	102	32	bin	bin	NOUN
app01-10622	102	33	is	be	AUX
app01-10622	102	34	highlighted	highlight	VERB
app01-10622	102	35	in	in	ADP
app01-10622	102	36	red	red	NOUN
app01-10622	102	37	in	in	ADP
app01-10622	102	38	both	both	DET
app01-10622	102	39	histograms	histogram	NOUN
app01-10622	102	40	.	.	PUNCT
app01-10622	103	1	the	the	DET
app01-10622	103	2	value	value	NOUN
app01-10622	103	3	of	of	ADP
app01-10622	103	4	the	the	DET
app01-10622	103	5	ratio	ratio	NOUN
app01-10622	103	6	πp	πp	ADP
app01-10622	103	7	defined	define	VERB
app01-10622	103	8	in	in	ADP
app01-10622	103	9	equation	equation	NOUN
app01-10622	103	10	(	(	PUNCT
app01-10622	103	11	2	2	X
app01-10622	103	12	)	)	PUNCT
app01-10622	103	13	was	be	AUX
app01-10622	103	14	therefore	therefore	ADV
app01-10622	103	15	124	124	NUM
app01-10622	103	16	vol	vol	NOUN
app01-10622	103	17	.	.	PUNCT
app01-10622	104	1	52/2025	52/2025	NUM
app01-10622	104	2	modeling	modeling	NOUN
app01-10622	104	3	of	of	ADP
app01-10622	104	4	lto	lto	PROPN
app01-10622	104	5	approach	approach	PROPN
app01-10622	104	6	time	time	NOUN
app01-10622	104	7	-	-	PUNCT
app01-10622	104	8	in	in	ADP
app01-10622	104	9	-	-	PUNCT
app01-10622	104	10	mode	mode	NOUN
app01-10622	104	11	values	value	NOUN
app01-10622	104	12	figure	figure	VERB
app01-10622	104	13	1	1	NUM
app01-10622	104	14	.	.	PUNCT
app01-10622	105	1	pdf	pdf	NOUN
app01-10622	105	2	estimates	estimate	NOUN
app01-10622	105	3	of	of	ADP
app01-10622	105	4	gev	gev	NOUN
app01-10622	105	5	distribution	distribution	NOUN
app01-10622	105	6	parameters	parameter	NOUN
app01-10622	105	7	k	k	PROPN
app01-10622	105	8	,	,	PUNCT
app01-10622	105	9	σ	σ	PROPN
app01-10622	105	10	,	,	PUNCT
app01-10622	105	11	µ	µ	NOUN
app01-10622	105	12	for	for	ADP
app01-10622	105	13	the	the	DET
app01-10622	105	14	airbus	airbus	PROPN
app01-10622	105	15	a320	a320	PROPN
app01-10622	105	16	and	and	CCONJ
app01-10622	105	17	boeing	boeing	PROPN
app01-10622	105	18	737	737	NUM
app01-10622	105	19	-	-	SYM
app01-10622	105	20	800	800	NUM
app01-10622	105	21	.	.	PUNCT
app01-10622	105	22	figure	figure	NOUN
app01-10622	105	23	2	2	NUM
app01-10622	105	24	.	.	PUNCT
app01-10622	106	1	histograms	histogram	NOUN
app01-10622	106	2	of	of	ADP
app01-10622	106	3	ranksum	ranksum	NOUN
app01-10622	106	4	test	test	NOUN
app01-10622	106	5	p	p	NOUN
app01-10622	106	6	-	-	PUNCT
app01-10622	106	7	values	value	NOUN
app01-10622	106	8	after	after	ADP
app01-10622	106	9	100	100	NUM
app01-10622	106	10	000	000	NUM
app01-10622	106	11	simulation	simulation	NOUN
app01-10622	106	12	runs	run	NOUN
app01-10622	106	13	of	of	ADP
app01-10622	106	14	the	the	DET
app01-10622	106	15	models	model	NOUN
app01-10622	106	16	,	,	PUNCT
app01-10622	106	17	including	include	VERB
app01-10622	106	18	the	the	DET
app01-10622	106	19	rejection	rejection	NOUN
app01-10622	106	20	regions	region	NOUN
app01-10622	106	21	(	(	PUNCT
app01-10622	106	22	highlighted	highlight	VERB
app01-10622	106	23	red	red	NOUN
app01-10622	106	24	)	)	PUNCT
app01-10622	106	25	.	.	PUNCT
app01-10622	107	1	equal	equal	ADJ
app01-10622	107	2	to	to	ADP
app01-10622	107	3	the	the	DET
app01-10622	107	4	“	"	PUNCT
app01-10622	107	5	height	height	NOUN
app01-10622	107	6	”	"	PUNCT
app01-10622	107	7	of	of	ADP
app01-10622	107	8	the	the	DET
app01-10622	107	9	leftmost	leftmost	PROPN
app01-10622	107	10	bin	bin	PROPN
app01-10622	107	11	.	.	PUNCT
app01-10622	108	1	the	the	DET
app01-10622	108	2	values	value	NOUN
app01-10622	108	3	were	be	AUX
app01-10622	108	4	πp	πp	PRON
app01-10622	108	5	,	,	PUNCT
app01-10622	108	6	a320	a320	PROPN
app01-10622	108	7	=	=	SYM
app01-10622	108	8	0.005	0.005	NUM
app01-10622	108	9	and	and	CCONJ
app01-10622	108	10	πp	πp	ADP
app01-10622	108	11	,	,	PUNCT
app01-10622	108	12	b738	b738	PROPN
app01-10622	108	13	=	=	SYM
app01-10622	108	14	0.059	0.059	NUM
app01-10622	108	15	;	;	PUNCT
app01-10622	108	16	in	in	ADP
app01-10622	108	17	other	other	ADJ
app01-10622	108	18	words	word	NOUN
app01-10622	108	19	,	,	PUNCT
app01-10622	108	20	the	the	DET
app01-10622	108	21	distributions	distribution	NOUN
app01-10622	108	22	of	of	ADP
app01-10622	108	23	the	the	DET
app01-10622	108	24	real	real	ADJ
app01-10622	108	25	and	and	CCONJ
app01-10622	108	26	predicted	predict	VERB
app01-10622	108	27	tim	tim	PROPN
app01-10622	108	28	values	value	NOUN
app01-10622	108	29	were	be	AUX
app01-10622	108	30	different	different	ADJ
app01-10622	108	31	in	in	ADP
app01-10622	108	32	roughly	roughly	ADV
app01-10622	108	33	0.5	0.5	NUM
app01-10622	108	34	%	%	NOUN
app01-10622	108	35	and	and	CCONJ
app01-10622	108	36	5.9	5.9	NUM
app01-10622	108	37	%	%	NOUN
app01-10622	108	38	of	of	ADP
app01-10622	108	39	simulation	simulation	NOUN
app01-10622	108	40	runs	run	VERB
app01-10622	108	41	for	for	ADP
app01-10622	108	42	the	the	DET
app01-10622	108	43	airbus	airbus	PROPN
app01-10622	108	44	a320	a320	PROPN
app01-10622	108	45	and	and	CCONJ
app01-10622	108	46	boeing	boeing	PROPN
app01-10622	108	47	737	737	NUM
app01-10622	108	48	-	-	SYM
app01-10622	108	49	800	800	NUM
app01-10622	108	50	respectively	respectively	ADV
app01-10622	108	51	(	(	PUNCT
app01-10622	108	52	i.e.	i.e.	X
app01-10622	108	53	,	,	PUNCT
app01-10622	108	54	the	the	DET
app01-10622	108	55	null	null	ADJ
app01-10622	108	56	hypothesis	hypothesis	NOUN
app01-10622	108	57	of	of	ADP
app01-10622	108	58	the	the	DET
app01-10622	108	59	ranksum	ranksum	NOUN
app01-10622	108	60	test	test	NOUN
app01-10622	108	61	was	be	AUX
app01-10622	108	62	rejected	reject	VERB
app01-10622	108	63	in	in	ADP
app01-10622	108	64	those	those	DET
app01-10622	108	65	cases	case	NOUN
app01-10622	108	66	)	)	PUNCT
app01-10622	108	67	.	.	PUNCT
app01-10622	109	1	figure	figure	NOUN
app01-10622	109	2	3	3	NUM
app01-10622	109	3	shows	show	VERB
app01-10622	109	4	the	the	DET
app01-10622	109	5	distributions	distribution	NOUN
app01-10622	109	6	of	of	ADP
app01-10622	109	7	the	the	DET
app01-10622	109	8	computed	compute	VERB
app01-10622	109	9	tspe	tspe	ADP
app01-10622	109	10	values	value	NOUN
app01-10622	109	11	,	,	PUNCT
app01-10622	109	12	illustrated	illustrate	VERB
app01-10622	109	13	for	for	ADP
app01-10622	109	14	both	both	DET
app01-10622	109	15	aircraft	aircraft	NOUN
app01-10622	109	16	types	type	NOUN
app01-10622	109	17	by	by	ADP
app01-10622	109	18	means	mean	NOUN
app01-10622	109	19	of	of	ADP
app01-10622	109	20	a	a	DET
app01-10622	109	21	histogram	histogram	NOUN
app01-10622	109	22	accompanied	accompany	VERB
app01-10622	109	23	by	by	ADP
app01-10622	109	24	a	a	DET
app01-10622	109	25	boxplot	boxplot	NOUN
app01-10622	109	26	.	.	PUNCT
app01-10622	110	1	analogically	analogically	ADV
app01-10622	110	2	,	,	PUNCT
app01-10622	110	3	figure	figure	VERB
app01-10622	110	4	4	4	NUM
app01-10622	110	5	shows	show	VERB
app01-10622	110	6	the	the	DET
app01-10622	110	7	distributions	distribution	NOUN
app01-10622	110	8	of	of	ADP
app01-10622	110	9	the	the	DET
app01-10622	110	10	computed	computed	ADJ
app01-10622	110	11	rsc	rsc	PROPN
app01-10622	110	12	values	value	NOUN
app01-10622	110	13	for	for	ADP
app01-10622	110	14	both	both	DET
app01-10622	110	15	aircraft	aircraft	NOUN
app01-10622	110	16	types	type	NOUN
app01-10622	110	17	.	.	PUNCT
app01-10622	111	1	the	the	DET
app01-10622	111	2	evaluated	evaluated	ADJ
app01-10622	111	3	statistical	statistical	ADJ
app01-10622	111	4	measures	measure	NOUN
app01-10622	111	5	for	for	ADP
app01-10622	111	6	both	both	DET
app01-10622	111	7	metrics	metric	NOUN
app01-10622	111	8	as	as	SCONJ
app01-10622	111	9	listed	list	VERB
app01-10622	111	10	in	in	ADP
app01-10622	111	11	2.4	2.4	NUM
app01-10622	111	12	are	be	AUX
app01-10622	111	13	given	give	VERB
app01-10622	111	14	in	in	ADP
app01-10622	111	15	table	table	NOUN
app01-10622	111	16	2	2	NUM
app01-10622	111	17	.	.	PUNCT
app01-10622	111	18	statistical	statistical	ADJ
app01-10622	111	19	boeing	boeing	PROPN
app01-10622	111	20	737	737	NUM
app01-10622	111	21	-	-	SYM
app01-10622	111	22	800	800	NUM
app01-10622	111	23	airbus	airbus	PROPN
app01-10622	111	24	a320	a320	PROPN
app01-10622	111	25	measure	measure	NOUN
app01-10622	111	26	tspe	tspe	ADP
app01-10622	111	27	rsc	rsc	PROPN
app01-10622	111	28	tspe	tspe	INTJ
app01-10622	111	29	rsc	rsc	PROPN
app01-10622	111	30	mean	mean	VERB
app01-10622	111	31	0.446	0.446	NUM
app01-10622	111	32	0.039	0.039	NUM
app01-10622	111	33	1.686	1.686	NUM
app01-10622	111	34	0.163	0.163	NUM
app01-10622	111	35	median	median	NOUN
app01-10622	111	36	0.382	0.382	NUM
app01-10622	111	37	0.034	0.034	NUM
app01-10622	111	38	1.344	1.344	NUM
app01-10622	111	39	0.132	0.132	NUM
app01-10622	111	40	iqr	iqr	NOUN
app01-10622	111	41	0.463	0.463	NUM
app01-10622	111	42	0.040	0.040	NUM
app01-10622	111	43	1.688	1.688	NUM
app01-10622	111	44	0.165	0.165	NUM
app01-10622	111	45	βrsc	βrsc	NOUN
app01-10622	111	46	–	–	PUNCT
app01-10622	111	47	1.000	1.000	NUM
app01-10622	111	48	–	–	PUNCT
app01-10622	111	49	0.999	0.999	NUM
app01-10622	111	50	table	table	NOUN
app01-10622	111	51	2	2	NUM
app01-10622	111	52	.	.	PUNCT
app01-10622	111	53	evaluated	evaluate	VERB
app01-10622	111	54	statistical	statistical	ADJ
app01-10622	111	55	measures	measure	NOUN
app01-10622	111	56	for	for	ADP
app01-10622	111	57	tspe	tspe	NOUN
app01-10622	111	58	and	and	CCONJ
app01-10622	111	59	rsc	rsc	PROPN
app01-10622	111	60	for	for	ADP
app01-10622	111	61	the	the	DET
app01-10622	111	62	boeing	boeing	PROPN
app01-10622	111	63	737	737	NUM
app01-10622	111	64	-	-	SYM
app01-10622	111	65	800	800	NUM
app01-10622	111	66	and	and	CCONJ
app01-10622	111	67	airbus	airbus	PROPN
app01-10622	111	68	a320	a320	PROPN
app01-10622	111	69	models	model	NOUN
app01-10622	111	70	.	.	PUNCT
app01-10622	112	1	finally	finally	ADV
app01-10622	112	2	,	,	PUNCT
app01-10622	112	3	figure	figure	VERB
app01-10622	112	4	5	5	NUM
app01-10622	112	5	shows	show	VERB
app01-10622	112	6	example	example	NOUN
app01-10622	112	7	results	result	NOUN
app01-10622	112	8	of	of	ADP
app01-10622	112	9	predicting	predict	VERB
app01-10622	112	10	the	the	DET
app01-10622	112	11	tim	tim	PROPN
app01-10622	112	12	values	value	NOUN
app01-10622	112	13	using	use	VERB
app01-10622	112	14	the	the	DET
app01-10622	112	15	model	model	NOUN
app01-10622	112	16	parameters	parameter	NOUN
app01-10622	112	17	θ̂	θ̂	VERB
app01-10622	112	18	for	for	ADP
app01-10622	112	19	both	both	DET
app01-10622	112	20	aircraft	aircraft	NOUN
app01-10622	112	21	types	type	NOUN
app01-10622	112	22	.	.	PUNCT
app01-10622	113	1	in	in	ADP
app01-10622	113	2	the	the	DET
app01-10622	113	3	figure	figure	NOUN
app01-10622	113	4	,	,	PUNCT
app01-10622	113	5	the	the	DET
app01-10622	113	6	real	real	ADJ
app01-10622	113	7	and	and	CCONJ
app01-10622	113	8	predicted	predict	VERB
app01-10622	113	9	tim	tim	PROPN
app01-10622	113	10	values	value	NOUN
app01-10622	113	11	are	be	AUX
app01-10622	113	12	shown	show	VERB
app01-10622	113	13	together	together	ADV
app01-10622	113	14	in	in	ADP
app01-10622	113	15	the	the	DET
app01-10622	113	16	form	form	NOUN
app01-10622	113	17	of	of	ADP
app01-10622	113	18	overlapping	overlap	VERB
app01-10622	113	19	histograms	histogram	NOUN
app01-10622	113	20	.	.	PUNCT
app01-10622	114	1	in	in	ADP
app01-10622	114	2	both	both	DET
app01-10622	114	3	presented	present	VERB
app01-10622	114	4	cases	case	NOUN
app01-10622	114	5	,	,	PUNCT
app01-10622	114	6	the	the	DET
app01-10622	114	7	p	p	NOUN
app01-10622	114	8	-	-	PUNCT
app01-10622	114	9	value	value	NOUN
app01-10622	114	10	of	of	ADP
app01-10622	114	11	the	the	DET
app01-10622	114	12	ranksum	ranksum	NOUN
app01-10622	114	13	test	test	NOUN
app01-10622	114	14	was	be	AUX
app01-10622	114	15	1	1	NUM
app01-10622	114	16	.	.	ADP
app01-10622	114	17	4	4	NUM
app01-10622	114	18	.	.	X
app01-10622	114	19	discussion	discussion	NOUN
app01-10622	114	20	as	as	SCONJ
app01-10622	114	21	was	be	AUX
app01-10622	114	22	already	already	ADV
app01-10622	114	23	mentioned	mention	VERB
app01-10622	114	24	in	in	ADP
app01-10622	114	25	the	the	DET
app01-10622	114	26	previous	previous	ADJ
app01-10622	114	27	section	section	NOUN
app01-10622	114	28	,	,	PUNCT
app01-10622	114	29	the	the	DET
app01-10622	114	30	first	first	ADJ
app01-10622	114	31	step	step	NOUN
app01-10622	114	32	in	in	ADP
app01-10622	114	33	constructing	construct	VERB
app01-10622	114	34	the	the	DET
app01-10622	114	35	model	model	NOUN
app01-10622	114	36	used	use	VERB
app01-10622	114	37	for	for	ADP
app01-10622	114	38	subsequent	subsequent	ADJ
app01-10622	114	39	prediction	prediction	NOUN
app01-10622	114	40	of	of	ADP
app01-10622	114	41	the	the	DET
app01-10622	114	42	tim	tim	PROPN
app01-10622	114	43	values	value	NOUN
app01-10622	114	44	was	be	AUX
app01-10622	114	45	to	to	PART
app01-10622	114	46	estimate	estimate	VERB
app01-10622	114	47	the	the	DET
app01-10622	114	48	pdf	pdf	NOUN
app01-10622	114	49	of	of	ADP
app01-10622	114	50	each	each	DET
app01-10622	114	51	gev	gev	NOUN
app01-10622	114	52	distribution	distribution	NOUN
app01-10622	114	53	parameter	parameter	NOUN
app01-10622	114	54	.	.	PUNCT
app01-10622	115	1	in	in	ADP
app01-10622	115	2	order	order	NOUN
app01-10622	115	3	to	to	PART
app01-10622	115	4	investigate	investigate	VERB
app01-10622	115	5	the	the	DET
app01-10622	115	6	behavior	behavior	NOUN
app01-10622	115	7	of	of	ADP
app01-10622	115	8	the	the	DET
app01-10622	115	9	parameters	parameter	NOUN
app01-10622	115	10	and	and	CCONJ
app01-10622	115	11	thus	thus	ADV
app01-10622	115	12	their	their	PRON
app01-10622	115	13	distributions	distribution	NOUN
app01-10622	115	14	(	(	PUNCT
app01-10622	115	15	i.e.	i.e.	X
app01-10622	115	16	,	,	PUNCT
app01-10622	115	17	probability	probability	NOUN
app01-10622	115	18	densities	density	NOUN
app01-10622	115	19	)	)	PUNCT
app01-10622	115	20	in	in	ADP
app01-10622	115	21	order	order	NOUN
app01-10622	115	22	to	to	PART
app01-10622	115	23	make	make	VERB
app01-10622	115	24	good	good	ADJ
app01-10622	115	25	point	point	NOUN
app01-10622	115	26	estimates	estimate	NOUN
app01-10622	115	27	of	of	ADP
app01-10622	115	28	the	the	DET
app01-10622	115	29	parameters	parameter	NOUN
app01-10622	115	30	θ̂	θ̂	VERB
app01-10622	115	31	later	later	ADV
app01-10622	115	32	on	on	ADV
app01-10622	115	33	,	,	PUNCT
app01-10622	115	34	a	a	DET
app01-10622	115	35	different	different	ADJ
app01-10622	115	36	sample	sample	NOUN
app01-10622	115	37	of	of	ADP
app01-10622	115	38	the	the	DET
app01-10622	115	39	data	datum	NOUN
app01-10622	115	40	was	be	AUX
app01-10622	115	41	selected	select	VERB
app01-10622	115	42	every	every	DET
app01-10622	115	43	iteration	iteration	NOUN
app01-10622	115	44	.	.	PUNCT
app01-10622	116	1	given	give	VERB
app01-10622	116	2	the	the	DET
app01-10622	116	3	results	result	NOUN
app01-10622	116	4	presented	present	VERB
app01-10622	116	5	125	125	NUM
app01-10622	116	6	bo	bo	NOUN
app01-10622	116	7	stloukal	stloukal	NOUN
app01-10622	116	8	,	,	PUNCT
app01-10622	116	9	ivan	ivan	PROPN
app01-10622	116	10	nagy	nagy	PROPN
app01-10622	116	11	acta	acta	PROPN
app01-10622	116	12	polytechnica	polytechnica	PROPN
app01-10622	116	13	ctu	ctu	PROPN
app01-10622	116	14	proceedings	proceeding	NOUN
app01-10622	116	15	figure	figure	VERB
app01-10622	116	16	3	3	NUM
app01-10622	116	17	.	.	PUNCT
app01-10622	117	1	histograms	histogram	NOUN
app01-10622	117	2	and	and	CCONJ
app01-10622	117	3	boxplots	boxplot	NOUN
app01-10622	117	4	of	of	ADP
app01-10622	117	5	tspe	tspe	ADP
app01-10622	117	6	values	value	NOUN
app01-10622	117	7	after	after	ADP
app01-10622	117	8	100	100	NUM
app01-10622	117	9	000	000	NUM
app01-10622	117	10	simulation	simulation	NOUN
app01-10622	117	11	runs	run	NOUN
app01-10622	117	12	of	of	ADP
app01-10622	117	13	the	the	DET
app01-10622	117	14	models	model	NOUN
app01-10622	117	15	.	.	PUNCT
app01-10622	118	1	in	in	ADP
app01-10622	118	2	figure	figure	NOUN
app01-10622	118	3	1	1	NUM
app01-10622	118	4	,	,	PUNCT
app01-10622	118	5	the	the	DET
app01-10622	118	6	chosen	choose	VERB
app01-10622	118	7	number	number	NOUN
app01-10622	118	8	of	of	ADP
app01-10622	118	9	iterations	iteration	NOUN
app01-10622	118	10	(	(	PUNCT
app01-10622	118	11	100	100	NUM
app01-10622	118	12	000	000	NUM
app01-10622	118	13	)	)	PUNCT
app01-10622	118	14	may	may	AUX
app01-10622	118	15	be	be	AUX
app01-10622	118	16	considered	consider	VERB
app01-10622	118	17	sufficient	sufficient	ADJ
app01-10622	118	18	in	in	ADP
app01-10622	118	19	this	this	DET
app01-10622	118	20	regard	regard	NOUN
app01-10622	118	21	.	.	PUNCT
app01-10622	119	1	the	the	DET
app01-10622	119	2	next	next	ADJ
app01-10622	119	3	step	step	NOUN
app01-10622	119	4	was	be	AUX
app01-10622	119	5	therefore	therefore	ADV
app01-10622	119	6	making	make	VERB
app01-10622	119	7	point	point	NOUN
app01-10622	119	8	estimates	estimate	NOUN
app01-10622	119	9	of	of	ADP
app01-10622	119	10	the	the	DET
app01-10622	119	11	model	model	NOUN
app01-10622	119	12	parameters	parameter	NOUN
app01-10622	119	13	θ̂	θ̂	VERB
app01-10622	119	14	to	to	PART
app01-10622	119	15	use	use	VERB
app01-10622	119	16	in	in	ADP
app01-10622	119	17	the	the	DET
app01-10622	119	18	subsequent	subsequent	ADJ
app01-10622	119	19	predicting	predicting	NOUN
app01-10622	119	20	of	of	ADP
app01-10622	119	21	tim	tim	PROPN
app01-10622	119	22	values	value	NOUN
app01-10622	119	23	.	.	PUNCT
app01-10622	120	1	clearly	clearly	ADV
app01-10622	120	2	,	,	PUNCT
app01-10622	120	3	as	as	ADP
app01-10622	120	4	the	the	DET
app01-10622	120	5	pdf	pdf	NOUN
app01-10622	120	6	in	in	ADP
app01-10622	120	7	figure	figure	NOUN
app01-10622	120	8	1	1	NUM
app01-10622	120	9	show	show	NOUN
app01-10622	120	10	,	,	PUNCT
app01-10622	120	11	the	the	DET
app01-10622	120	12	estimates	estimate	NOUN
app01-10622	120	13	of	of	ADP
app01-10622	120	14	the	the	DET
app01-10622	120	15	parameters	parameter	NOUN
app01-10622	120	16	constructed	construct	VERB
app01-10622	120	17	through	through	ADP
app01-10622	120	18	the	the	DET
app01-10622	120	19	iterations	iteration	NOUN
app01-10622	120	20	were	be	AUX
app01-10622	120	21	random	random	ADJ
app01-10622	120	22	variables	variable	NOUN
app01-10622	120	23	.	.	PUNCT
app01-10622	121	1	this	this	PRON
app01-10622	121	2	was	be	AUX
app01-10622	121	3	not	not	PART
app01-10622	121	4	considered	consider	VERB
app01-10622	121	5	in	in	ADP
app01-10622	121	6	the	the	DET
app01-10622	121	7	model	model	NOUN
app01-10622	121	8	,	,	PUNCT
app01-10622	121	9	where	where	SCONJ
app01-10622	121	10	only	only	ADV
app01-10622	121	11	the	the	DET
app01-10622	121	12	point	point	NOUN
app01-10622	121	13	estimates	estimate	NOUN
app01-10622	121	14	θ̂	θ̂	NUM
app01-10622	121	15	were	be	AUX
app01-10622	121	16	used	use	VERB
app01-10622	121	17	.	.	PUNCT
app01-10622	122	1	therefore	therefore	ADV
app01-10622	122	2	,	,	PUNCT
app01-10622	122	3	the	the	DET
app01-10622	122	4	selection	selection	NOUN
app01-10622	122	5	of	of	ADP
app01-10622	122	6	the	the	DET
app01-10622	122	7	constant	constant	ADJ
app01-10622	122	8	parameters	parameter	NOUN
app01-10622	122	9	was	be	AUX
app01-10622	122	10	such	such	ADJ
app01-10622	122	11	to	to	PART
app01-10622	122	12	minimize	minimize	VERB
app01-10622	122	13	the	the	DET
app01-10622	122	14	effect	effect	NOUN
app01-10622	122	15	of	of	ADP
app01-10622	122	16	this	this	DET
app01-10622	122	17	simplification	simplification	NOUN
app01-10622	122	18	.	.	PUNCT
app01-10622	123	1	this	this	PRON
app01-10622	123	2	was	be	AUX
app01-10622	123	3	done	do	VERB
app01-10622	123	4	by	by	ADP
app01-10622	123	5	selecting	select	VERB
app01-10622	123	6	the	the	DET
app01-10622	123	7	parameter	parameter	NOUN
app01-10622	123	8	values	value	NOUN
app01-10622	123	9	so	so	SCONJ
app01-10622	123	10	that	that	SCONJ
app01-10622	123	11	they	they	PRON
app01-10622	123	12	corresponded	correspond	VERB
app01-10622	123	13	to	to	ADP
app01-10622	123	14	the	the	DET
app01-10622	123	15	maximums	maximum	NOUN
app01-10622	123	16	of	of	ADP
app01-10622	123	17	the	the	DET
app01-10622	123	18	pdf	pdf	NOUN
app01-10622	123	19	.	.	PUNCT
app01-10622	124	1	as	as	SCONJ
app01-10622	124	2	will	will	AUX
app01-10622	124	3	be	be	AUX
app01-10622	124	4	shown	show	VERB
app01-10622	124	5	in	in	ADP
app01-10622	124	6	the	the	DET
app01-10622	124	7	following	follow	VERB
app01-10622	124	8	paragraphs	paragraph	NOUN
app01-10622	124	9	,	,	PUNCT
app01-10622	124	10	this	this	DET
app01-10622	124	11	simplification	simplification	NOUN
app01-10622	124	12	may	may	AUX
app01-10622	124	13	be	be	AUX
app01-10622	124	14	considered	consider	VERB
app01-10622	124	15	acceptable	acceptable	ADJ
app01-10622	124	16	in	in	ADP
app01-10622	124	17	terms	term	NOUN
app01-10622	124	18	of	of	ADP
app01-10622	124	19	model	model	NOUN
app01-10622	124	20	performance	performance	NOUN
app01-10622	124	21	.	.	PUNCT
app01-10622	125	1	once	once	SCONJ
app01-10622	125	2	the	the	DET
app01-10622	125	3	parameters	parameter	NOUN
app01-10622	125	4	θ̂	θ̂	NUM
app01-10622	125	5	had	have	AUX
app01-10622	125	6	been	be	AUX
app01-10622	125	7	estimated	estimate	VERB
app01-10622	125	8	for	for	ADP
app01-10622	125	9	both	both	DET
app01-10622	125	10	aircraft	aircraft	NOUN
app01-10622	125	11	types	type	NOUN
app01-10622	125	12	,	,	PUNCT
app01-10622	125	13	the	the	DET
app01-10622	125	14	tim	tim	PROPN
app01-10622	125	15	values	value	NOUN
app01-10622	125	16	could	could	AUX
app01-10622	125	17	be	be	AUX
app01-10622	125	18	predicted	predict	VERB
app01-10622	125	19	using	use	VERB
app01-10622	125	20	the	the	DET
app01-10622	125	21	constructed	construct	VERB
app01-10622	125	22	models	model	NOUN
app01-10622	125	23	.	.	PUNCT
app01-10622	126	1	in	in	ADP
app01-10622	126	2	order	order	NOUN
app01-10622	126	3	to	to	PART
app01-10622	126	4	evaluate	evaluate	VERB
app01-10622	126	5	the	the	DET
app01-10622	126	6	performance	performance	NOUN
app01-10622	126	7	of	of	ADP
app01-10622	126	8	the	the	DET
app01-10622	126	9	model	model	NOUN
app01-10622	126	10	,	,	PUNCT
app01-10622	126	11	this	this	PRON
app01-10622	126	12	was	be	AUX
app01-10622	126	13	repeated	repeat	VERB
app01-10622	126	14	100	100	NUM
app01-10622	126	15	000	000	NUM
app01-10622	126	16	times	time	NOUN
app01-10622	126	17	.	.	PUNCT
app01-10622	127	1	this	this	DET
app01-10622	127	2	number	number	NOUN
app01-10622	127	3	of	of	ADP
app01-10622	127	4	simulation	simulation	NOUN
app01-10622	127	5	runs	run	NOUN
app01-10622	127	6	can	can	AUX
app01-10622	127	7	be	be	AUX
app01-10622	127	8	considered	consider	VERB
app01-10622	127	9	satisfactory	satisfactory	ADJ
app01-10622	127	10	given	give	VERB
app01-10622	127	11	the	the	DET
app01-10622	127	12	clear	clear	ADJ
app01-10622	127	13	results	result	NOUN
app01-10622	127	14	that	that	PRON
app01-10622	127	15	were	be	AUX
app01-10622	127	16	obtained	obtain	VERB
app01-10622	127	17	.	.	PUNCT
app01-10622	128	1	to	to	PART
app01-10622	128	2	allow	allow	VERB
app01-10622	128	3	for	for	ADP
app01-10622	128	4	easier	easy	ADJ
app01-10622	128	5	evaluation	evaluation	NOUN
app01-10622	128	6	of	of	ADP
app01-10622	128	7	the	the	DET
app01-10622	128	8	results	result	NOUN
app01-10622	128	9	,	,	PUNCT
app01-10622	128	10	the	the	DET
app01-10622	128	11	number	number	NOUN
app01-10622	128	12	of	of	ADP
app01-10622	128	13	generated	generate	VERB
app01-10622	128	14	tim	tim	PROPN
app01-10622	128	15	value	value	NOUN
app01-10622	128	16	predictions	prediction	NOUN
app01-10622	128	17	was	be	AUX
app01-10622	128	18	equal	equal	ADJ
app01-10622	128	19	to	to	ADP
app01-10622	128	20	the	the	DET
app01-10622	128	21	number	number	NOUN
app01-10622	128	22	of	of	ADP
app01-10622	128	23	the	the	DET
app01-10622	128	24	real	real	ADJ
app01-10622	128	25	values	value	NOUN
app01-10622	128	26	.	.	PUNCT
app01-10622	129	1	every	every	DET
app01-10622	129	2	simulation	simulation	NOUN
app01-10622	129	3	run	run	NOUN
app01-10622	129	4	,	,	PUNCT
app01-10622	129	5	the	the	DET
app01-10622	129	6	two	two	NUM
app01-10622	129	7	samples	sample	NOUN
app01-10622	129	8	(	(	PUNCT
app01-10622	129	9	predictions	prediction	NOUN
app01-10622	129	10	and	and	CCONJ
app01-10622	129	11	real	real	ADJ
app01-10622	129	12	values	value	NOUN
app01-10622	129	13	)	)	PUNCT
app01-10622	129	14	were	be	AUX
app01-10622	129	15	compared	compare	VERB
app01-10622	129	16	using	use	VERB
app01-10622	129	17	the	the	DET
app01-10622	129	18	ranksum	ranksum	NOUN
app01-10622	129	19	test	test	NOUN
app01-10622	129	20	,	,	PUNCT
app01-10622	129	21	whereby	whereby	SCONJ
app01-10622	129	22	it	it	PRON
app01-10622	129	23	was	be	AUX
app01-10622	129	24	figure	figure	NOUN
app01-10622	129	25	4	4	NUM
app01-10622	129	26	.	.	PUNCT
app01-10622	130	1	histograms	histogram	NOUN
app01-10622	130	2	and	and	CCONJ
app01-10622	130	3	boxplots	boxplot	NOUN
app01-10622	130	4	of	of	ADP
app01-10622	130	5	rsc	rsc	PROPN
app01-10622	130	6	values	value	NOUN
app01-10622	130	7	after	after	ADP
app01-10622	130	8	100	100	NUM
app01-10622	130	9	000	000	NUM
app01-10622	130	10	simulation	simulation	NOUN
app01-10622	130	11	runs	run	NOUN
app01-10622	130	12	of	of	ADP
app01-10622	130	13	the	the	DET
app01-10622	130	14	models	model	NOUN
app01-10622	130	15	.	.	PUNCT
app01-10622	131	1	evaluated	evaluate	VERB
app01-10622	131	2	whether	whether	SCONJ
app01-10622	131	3	the	the	DET
app01-10622	131	4	samples	sample	NOUN
app01-10622	131	5	came	come	VERB
app01-10622	131	6	from	from	ADP
app01-10622	131	7	the	the	DET
app01-10622	131	8	same	same	ADJ
app01-10622	131	9	distribution	distribution	NOUN
app01-10622	131	10	.	.	PUNCT
app01-10622	132	1	clearly	clearly	ADV
app01-10622	132	2	,	,	PUNCT
app01-10622	132	3	this	this	PRON
app01-10622	132	4	would	would	AUX
app01-10622	132	5	be	be	AUX
app01-10622	132	6	the	the	DET
app01-10622	132	7	case	case	NOUN
app01-10622	132	8	with	with	ADP
app01-10622	132	9	an	an	DET
app01-10622	132	10	appropriate	appropriate	ADJ
app01-10622	132	11	model	model	NOUN
app01-10622	132	12	.	.	PUNCT
app01-10622	133	1	the	the	DET
app01-10622	133	2	rate	rate	NOUN
app01-10622	133	3	of	of	ADP
app01-10622	133	4	null	null	ADJ
app01-10622	133	5	hypothesis	hypothesis	NOUN
app01-10622	133	6	rejection	rejection	NOUN
app01-10622	133	7	was	be	AUX
app01-10622	133	8	described	describe	VERB
app01-10622	133	9	using	use	VERB
app01-10622	133	10	the	the	DET
app01-10622	133	11	πp	πp	PROPN
app01-10622	133	12	ratio	ratio	NOUN
app01-10622	133	13	;	;	PUNCT
app01-10622	133	14	its	its	PRON
app01-10622	133	15	resulting	result	VERB
app01-10622	133	16	values	value	NOUN
app01-10622	133	17	for	for	ADP
app01-10622	133	18	both	both	DET
app01-10622	133	19	aircraft	aircraft	NOUN
app01-10622	133	20	types	type	NOUN
app01-10622	133	21	may	may	AUX
app01-10622	133	22	be	be	AUX
app01-10622	133	23	considered	consider	VERB
app01-10622	133	24	indicative	indicative	ADJ
app01-10622	133	25	of	of	ADP
app01-10622	133	26	a	a	DET
app01-10622	133	27	well	well	ADV
app01-10622	133	28	-	-	PUNCT
app01-10622	133	29	performing	perform	VERB
app01-10622	133	30	model	model	NOUN
app01-10622	133	31	in	in	ADP
app01-10622	133	32	terms	term	NOUN
app01-10622	133	33	of	of	ADP
app01-10622	133	34	how	how	SCONJ
app01-10622	133	35	its	its	PRON
app01-10622	133	36	parameters	parameter	NOUN
app01-10622	133	37	were	be	AUX
app01-10622	133	38	set	set	VERB
app01-10622	133	39	.	.	PUNCT
app01-10622	134	1	moreover	moreover	ADV
app01-10622	134	2	,	,	PUNCT
app01-10622	134	3	these	these	DET
app01-10622	134	4	results	result	NOUN
app01-10622	134	5	also	also	ADV
app01-10622	134	6	indicate	indicate	VERB
app01-10622	134	7	that	that	SCONJ
app01-10622	134	8	the	the	DET
app01-10622	134	9	choice	choice	NOUN
app01-10622	134	10	of	of	ADP
app01-10622	134	11	the	the	DET
app01-10622	134	12	gev	gev	NOUN
app01-10622	134	13	distribution	distribution	NOUN
app01-10622	134	14	for	for	ADP
app01-10622	134	15	the	the	DET
app01-10622	134	16	model	model	NOUN
app01-10622	134	17	was	be	AUX
app01-10622	134	18	correct	correct	ADJ
app01-10622	134	19	.	.	PUNCT
app01-10622	135	1	indeed	indeed	ADV
app01-10622	135	2	,	,	PUNCT
app01-10622	135	3	this	this	PRON
app01-10622	135	4	can	can	AUX
app01-10622	135	5	be	be	AUX
app01-10622	135	6	seen	see	VERB
app01-10622	135	7	in	in	ADP
app01-10622	135	8	figure	figure	NOUN
app01-10622	135	9	5	5	NUM
app01-10622	135	10	,	,	PUNCT
app01-10622	135	11	where	where	SCONJ
app01-10622	135	12	the	the	DET
app01-10622	135	13	histograms	histogram	NOUN
app01-10622	135	14	of	of	ADP
app01-10622	135	15	the	the	DET
app01-10622	135	16	real	real	ADJ
app01-10622	135	17	and	and	CCONJ
app01-10622	135	18	predicted	predict	VERB
app01-10622	135	19	tim	tim	PROPN
app01-10622	135	20	values	value	NOUN
app01-10622	135	21	overlap	overlap	VERB
app01-10622	135	22	to	to	ADP
app01-10622	135	23	a	a	DET
app01-10622	135	24	relatively	relatively	ADV
app01-10622	135	25	large	large	ADJ
app01-10622	135	26	extent	extent	NOUN
app01-10622	135	27	.	.	PUNCT
app01-10622	136	1	besides	besides	SCONJ
app01-10622	136	2	the	the	DET
app01-10622	136	3	ranksum	ranksum	NOUN
app01-10622	136	4	test	test	NOUN
app01-10622	136	5	,	,	PUNCT
app01-10622	136	6	the	the	DET
app01-10622	136	7	predictions	prediction	NOUN
app01-10622	136	8	were	be	AUX
app01-10622	136	9	also	also	ADV
app01-10622	136	10	evaluated	evaluate	VERB
app01-10622	136	11	using	use	VERB
app01-10622	136	12	the	the	DET
app01-10622	136	13	two	two	NUM
app01-10622	136	14	metrics	metric	NOUN
app01-10622	136	15	defined	define	VERB
app01-10622	136	16	in	in	ADP
app01-10622	136	17	2.4	2.4	NUM
app01-10622	136	18	,	,	PUNCT
app01-10622	136	19	namely	namely	ADV
app01-10622	136	20	the	the	DET
app01-10622	136	21	tspe	tspe	NOUN
app01-10622	136	22	and	and	CCONJ
app01-10622	136	23	rsc	rsc	PROPN
app01-10622	136	24	.	.	PUNCT
app01-10622	137	1	the	the	DET
app01-10622	137	2	purpose	purpose	NOUN
app01-10622	137	3	of	of	ADP
app01-10622	137	4	the	the	DET
app01-10622	137	5	tspe	tspe	NOUN
app01-10622	137	6	was	be	AUX
app01-10622	137	7	to	to	PART
app01-10622	137	8	evaluate	evaluate	VERB
app01-10622	137	9	the	the	DET
app01-10622	137	10	error	error	NOUN
app01-10622	137	11	in	in	ADP
app01-10622	137	12	total	total	ADJ
app01-10622	137	13	calculated	calculate	VERB
app01-10622	137	14	emissions	emission	NOUN
app01-10622	137	15	after	after	ADP
app01-10622	137	16	using	use	VERB
app01-10622	137	17	the	the	DET
app01-10622	137	18	predicted	predict	VERB
app01-10622	137	19	tim	tim	PROPN
app01-10622	137	20	values	value	NOUN
app01-10622	137	21	instead	instead	ADV
app01-10622	137	22	of	of	ADP
app01-10622	137	23	the	the	DET
app01-10622	137	24	real	real	ADJ
app01-10622	137	25	ones	one	NOUN
app01-10622	137	26	.	.	PUNCT
app01-10622	138	1	although	although	SCONJ
app01-10622	138	2	the	the	DET
app01-10622	138	3	real	real	ADJ
app01-10622	138	4	values	value	NOUN
app01-10622	138	5	themselves	themselves	PRON
app01-10622	138	6	were	be	AUX
app01-10622	138	7	estimates	estimate	NOUN
app01-10622	138	8	from	from	ADP
app01-10622	138	9	ads	ad	NOUN
app01-10622	138	10	-	-	PUNCT
app01-10622	138	11	b	b	NOUN
app01-10622	138	12	data	datum	NOUN
app01-10622	138	13	,	,	PUNCT
app01-10622	138	14	they	they	PRON
app01-10622	138	15	can	can	AUX
app01-10622	138	16	be	be	AUX
app01-10622	138	17	considered	consider	VERB
app01-10622	138	18	sufficiently	sufficiently	ADV
app01-10622	138	19	close	close	ADJ
app01-10622	138	20	to	to	ADP
app01-10622	138	21	the	the	DET
app01-10622	138	22	actual	actual	ADJ
app01-10622	138	23	values	value	NOUN
app01-10622	138	24	and	and	CCONJ
app01-10622	138	25	therefore	therefore	ADV
app01-10622	138	26	act	act	VERB
app01-10622	138	27	as	as	ADP
app01-10622	138	28	a	a	DET
app01-10622	138	29	benchmark	benchmark	NOUN
app01-10622	138	30	for	for	ADP
app01-10622	138	31	the	the	DET
app01-10622	138	32	evaluation	evaluation	NOUN
app01-10622	138	33	of	of	ADP
app01-10622	138	34	the	the	DET
app01-10622	138	35	predictions	prediction	NOUN
app01-10622	138	36	.	.	PUNCT
app01-10622	139	1	as	as	SCONJ
app01-10622	139	2	the	the	DET
app01-10622	139	3	histograms	histogram	NOUN
app01-10622	139	4	and	and	CCONJ
app01-10622	139	5	boxplots	boxplot	NOUN
app01-10622	139	6	in	in	ADP
app01-10622	139	7	figure	figure	NOUN
app01-10622	139	8	3	3	NUM
app01-10622	139	9	show	show	NOUN
app01-10622	139	10	,	,	PUNCT
app01-10622	139	11	the	the	DET
app01-10622	139	12	tspe	tspe	NOUN
app01-10622	139	13	was	be	AUX
app01-10622	139	14	generally	generally	ADV
app01-10622	139	15	low	low	ADJ
app01-10622	139	16	,	,	PUNCT
app01-10622	139	17	with	with	ADP
app01-10622	139	18	its	its	PRON
app01-10622	139	19	values	value	NOUN
app01-10622	139	20	never	never	ADV
app01-10622	139	21	exceeding	exceed	VERB
app01-10622	139	22	10	10	NUM
app01-10622	139	23	%	%	NOUN
app01-10622	139	24	for	for	ADP
app01-10622	139	25	both	both	DET
app01-10622	139	26	aircraft	aircraft	NOUN
app01-10622	139	27	types	type	NOUN
app01-10622	139	28	and	and	CCONJ
app01-10622	139	29	with	with	ADP
app01-10622	139	30	the	the	DET
app01-10622	139	31	median	median	NOUN
app01-10622	139	32	and	and	CCONJ
app01-10622	139	33	mean	mean	VERB
app01-10622	139	34	values	value	NOUN
app01-10622	139	35	being	be	AUX
app01-10622	139	36	only	only	ADV
app01-10622	139	37	around	around	ADP
app01-10622	139	38	1–2	1–2	NUM
app01-10622	139	39	%	%	NOUN
app01-10622	139	40	according	accord	VERB
app01-10622	139	41	to	to	ADP
app01-10622	139	42	table	table	NOUN
app01-10622	139	43	2	2	NUM
app01-10622	139	44	.	.	PUNCT
app01-10622	140	1	this	this	DET
app01-10622	140	2	percentage	percentage	NOUN
app01-10622	140	3	is	be	AUX
app01-10622	140	4	in	in	ADP
app01-10622	140	5	relation	relation	NOUN
app01-10622	140	6	to	to	ADP
app01-10622	140	7	the	the	DET
app01-10622	140	8	total	total	ADJ
app01-10622	140	9	sum	sum	NOUN
app01-10622	140	10	of	of	ADP
app01-10622	140	11	calculated	calculate	VERB
app01-10622	140	12	emissions	emission	NOUN
app01-10622	140	13	using	use	VERB
app01-10622	140	14	the	the	DET
app01-10622	140	15	real	real	ADJ
app01-10622	140	16	126	126	NUM
app01-10622	140	17	vol	vol	NOUN
app01-10622	140	18	.	.	PUNCT
app01-10622	141	1	52/2025	52/2025	NUM
app01-10622	141	2	modeling	modeling	NOUN
app01-10622	141	3	of	of	ADP
app01-10622	141	4	lto	lto	PROPN
app01-10622	141	5	approach	approach	PROPN
app01-10622	141	6	time	time	NOUN
app01-10622	141	7	-	-	PUNCT
app01-10622	141	8	in	in	ADP
app01-10622	141	9	-	-	PUNCT
app01-10622	141	10	mode	mode	NOUN
app01-10622	141	11	values	value	NOUN
app01-10622	141	12	figure	figure	VERB
app01-10622	141	13	5	5	NUM
app01-10622	141	14	.	.	PUNCT
app01-10622	141	15	example	example	NOUN
app01-10622	141	16	histograms	histogram	NOUN
app01-10622	141	17	of	of	ADP
app01-10622	141	18	real	real	ADJ
app01-10622	141	19	and	and	CCONJ
app01-10622	141	20	predicted	predict	VERB
app01-10622	141	21	tim	tim	PROPN
app01-10622	141	22	values	value	NOUN
app01-10622	141	23	for	for	ADP
app01-10622	141	24	the	the	DET
app01-10622	141	25	airbus	airbus	PROPN
app01-10622	141	26	a320	a320	PROPN
app01-10622	141	27	and	and	CCONJ
app01-10622	141	28	boeing	boeing	PROPN
app01-10622	141	29	737	737	NUM
app01-10622	141	30	-	-	SYM
app01-10622	141	31	800	800	NUM
app01-10622	141	32	.	.	PUNCT
app01-10622	142	1	tim	tim	PROPN
app01-10622	142	2	values	value	NOUN
app01-10622	142	3	.	.	PUNCT
app01-10622	143	1	therefore	therefore	ADV
app01-10622	143	2	,	,	PUNCT
app01-10622	143	3	using	use	VERB
app01-10622	143	4	the	the	DET
app01-10622	143	5	predicted	predict	VERB
app01-10622	143	6	tim	tim	PROPN
app01-10622	143	7	values	value	NOUN
app01-10622	143	8	would	would	AUX
app01-10622	143	9	,	,	PUNCT
app01-10622	143	10	on	on	ADP
app01-10622	143	11	average	average	ADJ
app01-10622	143	12	,	,	PUNCT
app01-10622	143	13	yield	yield	NOUN
app01-10622	143	14	emission	emission	NOUN
app01-10622	143	15	estimates	estimate	NOUN
app01-10622	143	16	off	off	ADP
app01-10622	143	17	by	by	ADP
app01-10622	143	18	1–2	1–2	NUM
app01-10622	143	19	%	%	NOUN
app01-10622	143	20	compared	compare	VERB
app01-10622	143	21	to	to	ADP
app01-10622	143	22	using	use	VERB
app01-10622	143	23	the	the	DET
app01-10622	143	24	real	real	ADJ
app01-10622	143	25	values	value	NOUN
app01-10622	143	26	.	.	PUNCT
app01-10622	144	1	these	these	DET
app01-10622	144	2	results	result	NOUN
app01-10622	144	3	are	be	AUX
app01-10622	144	4	in	in	ADP
app01-10622	144	5	support	support	NOUN
app01-10622	144	6	of	of	ADP
app01-10622	144	7	the	the	DET
app01-10622	144	8	constructed	construct	VERB
app01-10622	144	9	models	model	NOUN
app01-10622	144	10	as	as	SCONJ
app01-10622	144	11	they	they	PRON
app01-10622	144	12	show	show	VERB
app01-10622	144	13	good	good	ADJ
app01-10622	144	14	performance	performance	NOUN
app01-10622	144	15	regarding	regard	VERB
app01-10622	144	16	the	the	DET
app01-10622	144	17	predictions	prediction	NOUN
app01-10622	144	18	of	of	ADP
app01-10622	144	19	aircraft	aircraft	NOUN
app01-10622	144	20	emissions	emission	NOUN
app01-10622	144	21	,	,	PUNCT
app01-10622	144	22	since	since	SCONJ
app01-10622	144	23	the	the	DET
app01-10622	144	24	calculated	calculate	VERB
app01-10622	144	25	aircraft	aircraft	NOUN
app01-10622	144	26	emissions	emission	NOUN
app01-10622	144	27	are	be	AUX
app01-10622	144	28	directly	directly	ADV
app01-10622	144	29	linked	link	VERB
app01-10622	144	30	to	to	ADP
app01-10622	144	31	the	the	DET
app01-10622	144	32	tim	tim	PROPN
app01-10622	144	33	values	value	NOUN
app01-10622	144	34	.	.	PUNCT
app01-10622	145	1	benefits	benefit	NOUN
app01-10622	145	2	of	of	ADP
app01-10622	145	3	using	use	VERB
app01-10622	145	4	the	the	DET
app01-10622	145	5	model	model	NOUN
app01-10622	145	6	are	be	AUX
app01-10622	145	7	also	also	ADV
app01-10622	145	8	suggested	suggest	VERB
app01-10622	145	9	by	by	ADP
app01-10622	145	10	results	result	NOUN
app01-10622	145	11	regarding	regard	VERB
app01-10622	145	12	the	the	DET
app01-10622	145	13	rsc	rsc	PROPN
app01-10622	145	14	metric	metric	NOUN
app01-10622	145	15	,	,	PUNCT
app01-10622	145	16	which	which	PRON
app01-10622	145	17	compared	compare	VERB
app01-10622	145	18	the	the	DET
app01-10622	145	19	predicted	predict	VERB
app01-10622	145	20	tim	tim	PROPN
app01-10622	145	21	values	value	NOUN
app01-10622	145	22	with	with	ADP
app01-10622	145	23	the	the	DET
app01-10622	145	24	standard	standard	ADJ
app01-10622	145	25	constant	constant	ADJ
app01-10622	145	26	value	value	NOUN
app01-10622	145	27	of	of	ADP
app01-10622	145	28	240	240	NUM
app01-10622	145	29	seconds	second	NOUN
app01-10622	145	30	.	.	PUNCT
app01-10622	146	1	more	more	ADV
app01-10622	146	2	specifically	specifically	ADV
app01-10622	146	3	,	,	PUNCT
app01-10622	146	4	the	the	DET
app01-10622	146	5	differences	difference	NOUN
app01-10622	146	6	in	in	ADP
app01-10622	146	7	the	the	DET
app01-10622	146	8	sums	sum	NOUN
app01-10622	146	9	of	of	ADP
app01-10622	146	10	all	all	DET
app01-10622	146	11	tim	tim	PROPN
app01-10622	146	12	values	value	NOUN
app01-10622	146	13	were	be	AUX
app01-10622	146	14	compared	compare	VERB
app01-10622	146	15	,	,	PUNCT
app01-10622	146	16	which	which	PRON
app01-10622	146	17	are	be	AUX
app01-10622	146	18	directly	directly	ADV
app01-10622	146	19	linked	link	VERB
app01-10622	146	20	to	to	ADP
app01-10622	146	21	the	the	DET
app01-10622	146	22	resulting	result	VERB
app01-10622	146	23	calculated	calculate	VERB
app01-10622	146	24	emissions	emission	NOUN
app01-10622	146	25	.	.	PUNCT
app01-10622	147	1	as	as	SCONJ
app01-10622	147	2	can	can	AUX
app01-10622	147	3	be	be	AUX
app01-10622	147	4	seen	see	VERB
app01-10622	147	5	in	in	ADP
app01-10622	147	6	figure	figure	NOUN
app01-10622	147	7	4	4	NUM
app01-10622	147	8	,	,	PUNCT
app01-10622	147	9	the	the	DET
app01-10622	147	10	rsc	rsc	PROPN
app01-10622	147	11	values	value	NOUN
app01-10622	147	12	in	in	ADP
app01-10622	147	13	the	the	DET
app01-10622	147	14	absolute	absolute	ADJ
app01-10622	147	15	majority	majority	NOUN
app01-10622	147	16	of	of	ADP
app01-10622	147	17	cases	case	NOUN
app01-10622	147	18	remained	remain	VERB
app01-10622	147	19	below	below	ADP
app01-10622	147	20	1	1	NUM
app01-10622	147	21	,	,	PUNCT
app01-10622	147	22	which	which	PRON
app01-10622	147	23	is	be	AUX
app01-10622	147	24	also	also	ADV
app01-10622	147	25	confirmed	confirm	VERB
app01-10622	147	26	by	by	ADP
app01-10622	147	27	the	the	DET
app01-10622	147	28	values	value	NOUN
app01-10622	147	29	of	of	ADP
app01-10622	147	30	the	the	DET
app01-10622	147	31	βrsc	βrsc	NOUN
app01-10622	147	32	ratio	ratio	NOUN
app01-10622	147	33	(	(	PUNCT
app01-10622	147	34	showing	show	VERB
app01-10622	147	35	the	the	DET
app01-10622	147	36	proportion	proportion	NOUN
app01-10622	147	37	of	of	ADP
app01-10622	147	38	such	such	ADJ
app01-10622	147	39	cases	case	NOUN
app01-10622	147	40	)	)	PUNCT
app01-10622	147	41	given	give	VERB
app01-10622	147	42	in	in	ADP
app01-10622	147	43	table	table	NOUN
app01-10622	147	44	2	2	NUM
app01-10622	147	45	,	,	PUNCT
app01-10622	147	46	as	as	ADV
app01-10622	147	47	well	well	ADV
app01-10622	147	48	as	as	ADP
app01-10622	147	49	by	by	ADP
app01-10622	147	50	the	the	DET
app01-10622	147	51	medians	median	NOUN
app01-10622	147	52	and	and	CCONJ
app01-10622	147	53	means	mean	VERB
app01-10622	147	54	for	for	ADP
app01-10622	147	55	both	both	DET
app01-10622	147	56	aircraft	aircraft	NOUN
app01-10622	147	57	types	type	NOUN
app01-10622	147	58	(	(	PUNCT
app01-10622	147	59	especially	especially	ADV
app01-10622	147	60	for	for	ADP
app01-10622	147	61	the	the	DET
app01-10622	147	62	boeing	boeing	PROPN
app01-10622	147	63	737	737	NUM
app01-10622	147	64	-	-	SYM
app01-10622	147	65	800	800	NUM
app01-10622	147	66	)	)	PUNCT
app01-10622	147	67	.	.	PUNCT
app01-10622	148	1	these	these	DET
app01-10622	148	2	results	result	NOUN
app01-10622	148	3	clearly	clearly	ADV
app01-10622	148	4	show	show	VERB
app01-10622	148	5	that	that	SCONJ
app01-10622	148	6	for	for	ADP
app01-10622	148	7	the	the	DET
app01-10622	148	8	approach	approach	NOUN
app01-10622	148	9	operating	operate	VERB
app01-10622	148	10	mode	mode	NOUN
app01-10622	148	11	of	of	ADP
app01-10622	148	12	the	the	DET
app01-10622	148	13	lto	lto	PROPN
app01-10622	148	14	cycle	cycle	NOUN
app01-10622	148	15	and	and	CCONJ
app01-10622	148	16	the	the	DET
app01-10622	148	17	analyzed	analyze	VERB
app01-10622	148	18	aircraft	aircraft	NOUN
app01-10622	148	19	types	type	NOUN
app01-10622	148	20	,	,	PUNCT
app01-10622	148	21	the	the	DET
app01-10622	148	22	predicted	predict	VERB
app01-10622	148	23	tim	tim	PROPN
app01-10622	148	24	values	value	NOUN
app01-10622	148	25	are	be	AUX
app01-10622	148	26	a	a	DET
app01-10622	148	27	better	well	ADJ
app01-10622	148	28	alternative	alternative	NOUN
app01-10622	148	29	to	to	ADP
app01-10622	148	30	the	the	DET
app01-10622	148	31	standard	standard	ADJ
app01-10622	148	32	tim	tim	PROPN
app01-10622	148	33	values	value	NOUN
app01-10622	148	34	,	,	PUNCT
app01-10622	148	35	which	which	PRON
app01-10622	148	36	is	be	AUX
app01-10622	148	37	an	an	DET
app01-10622	148	38	expected	expect	VERB
app01-10622	148	39	result	result	NOUN
app01-10622	148	40	given	give	VERB
app01-10622	148	41	the	the	DET
app01-10622	148	42	large	large	ADJ
app01-10622	148	43	rate	rate	NOUN
app01-10622	148	44	of	of	ADP
app01-10622	148	45	simplification	simplification	NOUN
app01-10622	148	46	associated	associate	VERB
app01-10622	148	47	with	with	ADP
app01-10622	148	48	the	the	DET
app01-10622	148	49	original	original	ADJ
app01-10622	148	50	definition	definition	NOUN
app01-10622	148	51	of	of	ADP
app01-10622	148	52	the	the	DET
app01-10622	148	53	lto	lto	PROPN
app01-10622	148	54	cycle	cycle	NOUN
app01-10622	148	55	.	.	PUNCT
app01-10622	149	1	while	while	SCONJ
app01-10622	149	2	the	the	DET
app01-10622	149	3	presented	present	VERB
app01-10622	149	4	results	result	NOUN
app01-10622	149	5	show	show	VERB
app01-10622	149	6	promising	promising	ADJ
app01-10622	149	7	potential	potential	NOUN
app01-10622	149	8	for	for	ADP
app01-10622	149	9	future	future	ADJ
app01-10622	149	10	research	research	NOUN
app01-10622	149	11	in	in	ADP
app01-10622	149	12	this	this	DET
app01-10622	149	13	area	area	NOUN
app01-10622	149	14	,	,	PUNCT
app01-10622	149	15	there	there	PRON
app01-10622	149	16	are	be	VERB
app01-10622	149	17	certain	certain	ADJ
app01-10622	149	18	limitations	limitation	NOUN
app01-10622	149	19	which	which	PRON
app01-10622	149	20	need	need	VERB
app01-10622	149	21	to	to	PART
app01-10622	149	22	be	be	AUX
app01-10622	149	23	addressed	address	VERB
app01-10622	149	24	.	.	PUNCT
app01-10622	150	1	firstly	firstly	ADV
app01-10622	150	2	,	,	PUNCT
app01-10622	150	3	without	without	ADP
app01-10622	150	4	further	further	ADJ
app01-10622	150	5	validation	validation	NOUN
app01-10622	150	6	,	,	PUNCT
app01-10622	150	7	the	the	DET
app01-10622	150	8	presented	present	VERB
app01-10622	150	9	results	result	NOUN
app01-10622	150	10	are	be	AUX
app01-10622	150	11	only	only	ADV
app01-10622	150	12	valid	valid	ADJ
app01-10622	150	13	for	for	ADP
app01-10622	150	14	the	the	DET
app01-10622	150	15	time	time	NOUN
app01-10622	150	16	period	period	NOUN
app01-10622	150	17	covered	cover	VERB
app01-10622	150	18	by	by	ADP
app01-10622	150	19	the	the	DET
app01-10622	150	20	real	real	ADJ
app01-10622	150	21	data	datum	NOUN
app01-10622	150	22	.	.	PUNCT
app01-10622	151	1	in	in	ADP
app01-10622	151	2	order	order	NOUN
app01-10622	151	3	to	to	PART
app01-10622	151	4	reliably	reliably	ADV
app01-10622	151	5	assess	assess	VERB
app01-10622	151	6	the	the	DET
app01-10622	151	7	performance	performance	NOUN
app01-10622	151	8	of	of	ADP
app01-10622	151	9	the	the	DET
app01-10622	151	10	model	model	NOUN
app01-10622	151	11	over	over	ADP
app01-10622	151	12	a	a	DET
app01-10622	151	13	longer	long	ADJ
app01-10622	151	14	time	time	NOUN
app01-10622	151	15	period	period	NOUN
app01-10622	151	16	,	,	PUNCT
app01-10622	151	17	it	it	PRON
app01-10622	151	18	would	would	AUX
app01-10622	151	19	be	be	AUX
app01-10622	151	20	desirable	desirable	ADJ
app01-10622	151	21	to	to	PART
app01-10622	151	22	also	also	ADV
app01-10622	151	23	include	include	VERB
app01-10622	151	24	another	another	DET
app01-10622	151	25	dataset	dataset	NOUN
app01-10622	151	26	from	from	ADP
app01-10622	151	27	a	a	DET
app01-10622	151	28	later	later	ADJ
app01-10622	151	29	time	time	NOUN
app01-10622	151	30	period	period	NOUN
app01-10622	151	31	(	(	PUNCT
app01-10622	151	32	e.g.	e.g.	ADV
app01-10622	151	33	,	,	PUNCT
app01-10622	151	34	several	several	ADJ
app01-10622	151	35	months	month	NOUN
app01-10622	151	36	later	later	ADV
app01-10622	151	37	)	)	PUNCT
app01-10622	151	38	,	,	PUNCT
app01-10622	151	39	on	on	ADP
app01-10622	151	40	which	which	PRON
app01-10622	151	41	the	the	DET
app01-10622	151	42	model	model	NOUN
app01-10622	151	43	would	would	AUX
app01-10622	151	44	be	be	AUX
app01-10622	151	45	tested	test	VERB
app01-10622	151	46	.	.	PUNCT
app01-10622	152	1	the	the	DET
app01-10622	152	2	results	result	NOUN
app01-10622	152	3	are	be	AUX
app01-10622	152	4	also	also	ADV
app01-10622	152	5	only	only	ADV
app01-10622	152	6	valid	valid	ADJ
app01-10622	152	7	for	for	ADP
app01-10622	152	8	arrivals	arrival	NOUN
app01-10622	152	9	on	on	ADP
app01-10622	152	10	runway	runway	NOUN
app01-10622	152	11	24	24	NUM
app01-10622	152	12	at	at	ADP
app01-10622	152	13	the	the	DET
app01-10622	152	14	airport	airport	NOUN
app01-10622	152	15	;	;	PUNCT
app01-10622	152	16	in	in	ADP
app01-10622	152	17	the	the	DET
app01-10622	152	18	future	future	NOUN
app01-10622	152	19	,	,	PUNCT
app01-10622	152	20	other	other	ADJ
app01-10622	152	21	runways	runway	NOUN
app01-10622	152	22	should	should	AUX
app01-10622	152	23	be	be	AUX
app01-10622	152	24	assessed	assess	VERB
app01-10622	152	25	as	as	ADV
app01-10622	152	26	well	well	ADV
app01-10622	152	27	.	.	PUNCT
app01-10622	153	1	similarly	similarly	ADV
app01-10622	153	2	,	,	PUNCT
app01-10622	153	3	only	only	ADV
app01-10622	153	4	two	two	NUM
app01-10622	153	5	aircraft	aircraft	NOUN
app01-10622	153	6	types	type	NOUN
app01-10622	153	7	were	be	AUX
app01-10622	153	8	covered	cover	VERB
app01-10622	153	9	in	in	ADP
app01-10622	153	10	this	this	DET
app01-10622	153	11	paper	paper	NOUN
app01-10622	153	12	,	,	PUNCT
app01-10622	153	13	therefore	therefore	ADV
app01-10622	153	14	no	no	DET
app01-10622	153	15	conclusions	conclusion	NOUN
app01-10622	153	16	can	can	AUX
app01-10622	153	17	be	be	AUX
app01-10622	153	18	made	make	VERB
app01-10622	153	19	for	for	ADP
app01-10622	153	20	other	other	ADJ
app01-10622	153	21	aircraft	aircraft	NOUN
app01-10622	153	22	types	type	NOUN
app01-10622	153	23	.	.	PUNCT
app01-10622	154	1	since	since	SCONJ
app01-10622	154	2	the	the	DET
app01-10622	154	3	model	model	NOUN
app01-10622	154	4	parameters	parameter	NOUN
app01-10622	154	5	were	be	AUX
app01-10622	154	6	different	different	ADJ
app01-10622	154	7	for	for	ADP
app01-10622	154	8	each	each	DET
app01-10622	154	9	aircraft	aircraft	NOUN
app01-10622	154	10	type	type	NOUN
app01-10622	154	11	(	(	PUNCT
app01-10622	154	12	as	as	SCONJ
app01-10622	154	13	shown	show	VERB
app01-10622	154	14	in	in	ADP
app01-10622	154	15	table	table	NOUN
app01-10622	154	16	1	1	NUM
app01-10622	154	17	)	)	PUNCT
app01-10622	154	18	,	,	PUNCT
app01-10622	154	19	model	model	NOUN
app01-10622	154	20	construction	construction	NOUN
app01-10622	154	21	is	be	AUX
app01-10622	154	22	clearly	clearly	ADV
app01-10622	154	23	necessary	necessary	ADJ
app01-10622	154	24	for	for	SCONJ
app01-10622	154	25	every	every	DET
app01-10622	154	26	aircraft	aircraft	NOUN
app01-10622	154	27	type	type	NOUN
app01-10622	154	28	individually	individually	ADV
app01-10622	154	29	.	.	PUNCT
app01-10622	155	1	in	in	ADP
app01-10622	155	2	this	this	DET
app01-10622	155	3	paper	paper	NOUN
app01-10622	155	4	,	,	PUNCT
app01-10622	155	5	factors	factor	NOUN
app01-10622	155	6	that	that	PRON
app01-10622	155	7	may	may	AUX
app01-10622	155	8	influence	influence	VERB
app01-10622	155	9	the	the	DET
app01-10622	155	10	tim	tim	PROPN
app01-10622	155	11	values	value	NOUN
app01-10622	155	12	of	of	ADP
app01-10622	155	13	the	the	DET
app01-10622	155	14	approach	approach	NOUN
app01-10622	155	15	lto	lto	PROPN
app01-10622	155	16	operating	operating	NOUN
app01-10622	155	17	mode	mode	NOUN
app01-10622	155	18	,	,	PUNCT
app01-10622	155	19	such	such	ADJ
app01-10622	155	20	as	as	ADP
app01-10622	155	21	arrival	arrival	NOUN
app01-10622	155	22	procedures	procedure	NOUN
app01-10622	155	23	or	or	CCONJ
app01-10622	155	24	aircraft	aircraft	NOUN
app01-10622	155	25	go	go	VERB
app01-10622	155	26	-	-	PUNCT
app01-10622	155	27	around	around	ADP
app01-10622	155	28	rate	rate	NOUN
app01-10622	155	29	,	,	PUNCT
app01-10622	155	30	were	be	AUX
app01-10622	155	31	not	not	PART
app01-10622	155	32	considered	consider	VERB
app01-10622	155	33	.	.	PUNCT
app01-10622	156	1	clearly	clearly	ADV
app01-10622	156	2	,	,	PUNCT
app01-10622	156	3	their	their	PRON
app01-10622	156	4	changes	change	NOUN
app01-10622	156	5	may	may	AUX
app01-10622	156	6	have	have	VERB
app01-10622	156	7	an	an	DET
app01-10622	156	8	effect	effect	NOUN
app01-10622	156	9	on	on	ADP
app01-10622	156	10	the	the	DET
app01-10622	156	11	resulting	result	VERB
app01-10622	156	12	tim	tim	PROPN
app01-10622	156	13	values	value	NOUN
app01-10622	156	14	,	,	PUNCT
app01-10622	156	15	rendering	render	VERB
app01-10622	156	16	the	the	DET
app01-10622	156	17	current	current	ADJ
app01-10622	156	18	model	model	NOUN
app01-10622	156	19	obsolete	obsolete	ADJ
app01-10622	156	20	.	.	PUNCT
app01-10622	157	1	future	future	ADJ
app01-10622	157	2	work	work	NOUN
app01-10622	157	3	should	should	AUX
app01-10622	157	4	therefore	therefore	ADV
app01-10622	157	5	focus	focus	VERB
app01-10622	157	6	on	on	ADP
app01-10622	157	7	investigating	investigate	VERB
app01-10622	157	8	these	these	DET
app01-10622	157	9	factors	factor	NOUN
app01-10622	157	10	and	and	CCONJ
app01-10622	157	11	incorporating	incorporate	VERB
app01-10622	157	12	them	they	PRON
app01-10622	157	13	into	into	ADP
app01-10622	157	14	the	the	DET
app01-10622	157	15	model	model	NOUN
app01-10622	157	16	.	.	PUNCT
app01-10622	158	1	special	special	ADJ
app01-10622	158	2	attention	attention	NOUN
app01-10622	158	3	should	should	AUX
app01-10622	158	4	be	be	AUX
app01-10622	158	5	paid	pay	VERB
app01-10622	158	6	to	to	ADP
app01-10622	158	7	the	the	DET
app01-10622	158	8	topic	topic	NOUN
app01-10622	158	9	of	of	ADP
app01-10622	158	10	mixing	mix	VERB
app01-10622	158	11	height	height	NOUN
app01-10622	158	12	,	,	PUNCT
app01-10622	158	13	which	which	PRON
app01-10622	158	14	directly	directly	ADV
app01-10622	158	15	influences	influence	VERB
app01-10622	158	16	not	not	PART
app01-10622	158	17	only	only	ADV
app01-10622	158	18	the	the	DET
app01-10622	158	19	tim	tim	PROPN
app01-10622	158	20	values	value	NOUN
app01-10622	158	21	,	,	PUNCT
app01-10622	158	22	but	but	CCONJ
app01-10622	158	23	the	the	DET
app01-10622	158	24	scope	scope	NOUN
app01-10622	158	25	of	of	ADP
app01-10622	158	26	emissions	emission	NOUN
app01-10622	158	27	to	to	PART
app01-10622	158	28	consider	consider	VERB
app01-10622	158	29	in	in	ADP
app01-10622	158	30	general	general	ADJ
app01-10622	158	31	.	.	PUNCT
app01-10622	159	1	while	while	SCONJ
app01-10622	159	2	the	the	DET
app01-10622	159	3	results	result	NOUN
app01-10622	159	4	show	show	VERB
app01-10622	159	5	that	that	SCONJ
app01-10622	159	6	modeling	modeling	NOUN
app01-10622	159	7	of	of	ADP
app01-10622	159	8	tim	tim	PROPN
app01-10622	159	9	values	value	NOUN
app01-10622	159	10	is	be	AUX
app01-10622	159	11	possible	possible	ADJ
app01-10622	159	12	for	for	ADP
app01-10622	159	13	the	the	DET
app01-10622	159	14	approach	approach	NOUN
app01-10622	159	15	lto	lto	PROPN
app01-10622	159	16	operating	operating	NOUN
app01-10622	159	17	mode	mode	NOUN
app01-10622	159	18	,	,	PUNCT
app01-10622	159	19	further	further	ADJ
app01-10622	159	20	research	research	NOUN
app01-10622	159	21	is	be	AUX
app01-10622	159	22	needed	need	VERB
app01-10622	159	23	in	in	ADP
app01-10622	159	24	order	order	NOUN
app01-10622	159	25	to	to	PART
app01-10622	159	26	be	be	AUX
app01-10622	159	27	able	able	ADJ
app01-10622	159	28	to	to	PART
app01-10622	159	29	make	make	VERB
app01-10622	159	30	the	the	DET
app01-10622	159	31	same	same	ADJ
app01-10622	159	32	conclusion	conclusion	NOUN
app01-10622	159	33	for	for	ADP
app01-10622	159	34	the	the	DET
app01-10622	159	35	other	other	ADJ
app01-10622	159	36	operating	operating	NOUN
app01-10622	159	37	modes	mode	NOUN
app01-10622	159	38	.	.	PUNCT
app01-10622	160	1	nevertheless	nevertheless	ADV
app01-10622	160	2	,	,	PUNCT
app01-10622	160	3	despite	despite	SCONJ
app01-10622	160	4	the	the	DET
app01-10622	160	5	limitations	limitation	NOUN
app01-10622	160	6	mentioned	mention	VERB
app01-10622	160	7	above	above	ADV
app01-10622	160	8	,	,	PUNCT
app01-10622	160	9	the	the	DET
app01-10622	160	10	results	result	NOUN
app01-10622	160	11	presented	present	VERB
app01-10622	160	12	in	in	ADP
app01-10622	160	13	this	this	DET
app01-10622	160	14	paper	paper	NOUN
app01-10622	160	15	show	show	VERB
app01-10622	160	16	good	good	ADJ
app01-10622	160	17	model	model	NOUN
app01-10622	160	18	performance	performance	NOUN
app01-10622	160	19	and	and	CCONJ
app01-10622	160	20	may	may	AUX
app01-10622	160	21	therefore	therefore	ADV
app01-10622	160	22	be	be	AUX
app01-10622	160	23	considered	consider	VERB
app01-10622	160	24	as	as	ADP
app01-10622	160	25	an	an	DET
app01-10622	160	26	initial	initial	ADJ
app01-10622	160	27	proof	proof	NOUN
app01-10622	160	28	-	-	PUNCT
app01-10622	160	29	of	of	ADP
app01-10622	160	30	-	-	PUNCT
app01-10622	160	31	concept	concept	NOUN
app01-10622	160	32	regarding	regard	VERB
app01-10622	160	33	the	the	DET
app01-10622	160	34	use	use	NOUN
app01-10622	160	35	of	of	ADP
app01-10622	160	36	modeling	modeling	NOUN
app01-10622	160	37	in	in	ADP
app01-10622	160	38	order	order	NOUN
app01-10622	160	39	to	to	PART
app01-10622	160	40	estimate	estimate	VERB
app01-10622	160	41	tim	tim	PROPN
app01-10622	160	42	values	value	NOUN
app01-10622	160	43	of	of	ADP
app01-10622	160	44	the	the	DET
app01-10622	160	45	lto	lto	PROPN
app01-10622	160	46	cycle	cycle	NOUN
app01-10622	160	47	.	.	PUNCT
app01-10622	161	1	further	far	ADV
app01-10622	161	2	in	in	ADP
app01-10622	161	3	-	-	PUNCT
app01-10622	161	4	depth	depth	NOUN
app01-10622	161	5	research	research	NOUN
app01-10622	161	6	in	in	ADP
app01-10622	161	7	this	this	DET
app01-10622	161	8	area	area	NOUN
app01-10622	161	9	may	may	AUX
app01-10622	161	10	therefore	therefore	ADV
app01-10622	161	11	provide	provide	VERB
app01-10622	161	12	practical	practical	ADJ
app01-10622	161	13	outcomes	outcome	NOUN
app01-10622	161	14	,	,	PUNCT
app01-10622	161	15	leading	lead	VERB
app01-10622	161	16	to	to	ADP
app01-10622	161	17	improvements	improvement	NOUN
app01-10622	161	18	in	in	ADP
app01-10622	161	19	the	the	DET
app01-10622	161	20	accuracy	accuracy	NOUN
app01-10622	161	21	of	of	ADP
app01-10622	161	22	calculations	calculation	NOUN
app01-10622	161	23	of	of	ADP
app01-10622	161	24	airport	airport	NOUN
app01-10622	161	25	aircraft	aircraft	NOUN
app01-10622	161	26	movements	movement	NOUN
app01-10622	161	27	’	'	PUNCT
app01-10622	161	28	emissions	emission	NOUN
app01-10622	161	29	without	without	ADP
app01-10622	161	30	the	the	DET
app01-10622	161	31	need	need	NOUN
app01-10622	161	32	for	for	ADP
app01-10622	161	33	extensive	extensive	ADJ
app01-10622	161	34	data	datum	NOUN
app01-10622	161	35	covering	cover	VERB
app01-10622	161	36	every	every	DET
app01-10622	161	37	movement	movement	NOUN
app01-10622	161	38	.	.	PUNCT
app01-10622	162	1	5	5	X
app01-10622	162	2	.	.	X
app01-10622	162	3	conclusion	conclusion	NOUN
app01-10622	162	4	in	in	ADP
app01-10622	162	5	this	this	DET
app01-10622	162	6	paper	paper	NOUN
app01-10622	162	7	,	,	PUNCT
app01-10622	162	8	we	we	PRON
app01-10622	162	9	constructed	construct	VERB
app01-10622	162	10	models	model	NOUN
app01-10622	162	11	of	of	ADP
app01-10622	162	12	the	the	DET
app01-10622	162	13	tim	tim	PROPN
app01-10622	162	14	values	value	NOUN
app01-10622	162	15	of	of	ADP
app01-10622	162	16	the	the	DET
app01-10622	162	17	approach	approach	NOUN
app01-10622	162	18	lto	lto	PROPN
app01-10622	162	19	operating	operate	VERB
app01-10622	162	20	mode	mode	NOUN
app01-10622	162	21	for	for	ADP
app01-10622	162	22	the	the	DET
app01-10622	162	23	boeing	boeing	PROPN
app01-10622	162	24	737	737	NUM
app01-10622	162	25	-	-	SYM
app01-10622	162	26	800	800	NUM
app01-10622	162	27	and	and	CCONJ
app01-10622	162	28	airbus	airbus	PROPN
app01-10622	162	29	a320	a320	PROPN
app01-10622	162	30	aircraft	aircraft	NOUN
app01-10622	162	31	at	at	ADP
app01-10622	162	32	prague	prague	PROPN
app01-10622	162	33	václav	václav	PROPN
app01-10622	162	34	havel	havel	PROPN
app01-10622	162	35	airport	airport	NOUN
app01-10622	162	36	using	use	VERB
app01-10622	162	37	the	the	DET
app01-10622	162	38	gev	gev	NOUN
app01-10622	162	39	distribution	distribution	NOUN
app01-10622	162	40	.	.	PUNCT
app01-10622	163	1	the	the	DET
app01-10622	163	2	parameters	parameter	NOUN
app01-10622	163	3	of	of	ADP
app01-10622	163	4	the	the	DET
app01-10622	163	5	model	model	NOUN
app01-10622	163	6	were	be	AUX
app01-10622	163	7	given	give	VERB
app01-10622	163	8	as	as	ADP
app01-10622	163	9	point	point	NOUN
app01-10622	163	10	estimates	estimate	NOUN
app01-10622	163	11	made	make	VERB
app01-10622	163	12	from	from	ADP
app01-10622	163	13	the	the	DET
app01-10622	163	14	pdf	pdf	NOUN
app01-10622	163	15	of	of	ADP
app01-10622	163	16	the	the	DET
app01-10622	163	17	individual	individual	ADJ
app01-10622	163	18	gev	gev	NOUN
app01-10622	163	19	parameters	parameter	NOUN
app01-10622	163	20	.	.	PUNCT
app01-10622	164	1	these	these	PRON
app01-10622	164	2	were	be	AUX
app01-10622	164	3	computed	compute	VERB
app01-10622	164	4	using	use	VERB
app01-10622	164	5	kernel	kernel	NOUN
app01-10622	164	6	smoothing	smooth	VERB
app01-10622	164	7	after	after	ADP
app01-10622	164	8	repeatedly	repeatedly	ADV
app01-10622	164	9	fitting	fit	VERB
app01-10622	164	10	the	the	DET
app01-10622	164	11	gev	gev	NOUN
app01-10622	164	12	distribution	distribution	NOUN
app01-10622	164	13	to	to	ADP
app01-10622	164	14	random	random	ADJ
app01-10622	164	15	samples	sample	NOUN
app01-10622	164	16	corresponding	correspond	VERB
app01-10622	164	17	to	to	ADP
app01-10622	164	18	50	50	NUM
app01-10622	164	19	%	%	NOUN
app01-10622	164	20	of	of	ADP
app01-10622	164	21	the	the	DET
app01-10622	164	22	original	original	ADJ
app01-10622	164	23	values	value	NOUN
app01-10622	164	24	.	.	PUNCT
app01-10622	165	1	the	the	DET
app01-10622	165	2	models	model	NOUN
app01-10622	165	3	were	be	AUX
app01-10622	165	4	then	then	ADV
app01-10622	165	5	used	use	VERB
app01-10622	165	6	to	to	PART
app01-10622	165	7	repeatedly	repeatedly	ADV
app01-10622	165	8	generate	generate	VERB
app01-10622	165	9	predictions	prediction	NOUN
app01-10622	165	10	of	of	ADP
app01-10622	165	11	tim	tim	PROPN
app01-10622	165	12	values	value	NOUN
app01-10622	165	13	for	for	ADP
app01-10622	165	14	both	both	DET
app01-10622	165	15	aircraft	aircraft	NOUN
app01-10622	165	16	types	type	NOUN
app01-10622	165	17	.	.	PUNCT
app01-10622	166	1	results	result	NOUN
app01-10622	166	2	of	of	ADP
app01-10622	166	3	these	these	DET
app01-10622	166	4	repeated	repeat	VERB
app01-10622	166	5	simulation	simulation	NOUN
app01-10622	166	6	runs	run	NOUN
app01-10622	166	7	showed	show	VERB
app01-10622	166	8	a	a	DET
app01-10622	166	9	good	good	ADJ
app01-10622	166	10	model	model	NOUN
app01-10622	166	11	performance	performance	NOUN
app01-10622	166	12	,	,	PUNCT
app01-10622	166	13	with	with	ADP
app01-10622	166	14	the	the	DET
app01-10622	166	15	resulting	result	VERB
app01-10622	166	16	error	error	NOUN
app01-10622	166	17	in	in	ADP
app01-10622	166	18	total	total	ADJ
app01-10622	166	19	sum	sum	NOUN
app01-10622	166	20	of	of	ADP
app01-10622	166	21	tim	tim	PROPN
app01-10622	166	22	values	value	NOUN
app01-10622	166	23	,	,	PUNCT
app01-10622	166	24	relevant	relevant	ADJ
app01-10622	166	25	for	for	ADP
app01-10622	166	26	emission	emission	NOUN
app01-10622	166	27	inventory	inventory	NOUN
app01-10622	166	28	development	development	NOUN
app01-10622	166	29	,	,	PUNCT
app01-10622	166	30	only	only	ADV
app01-10622	166	31	being	be	AUX
app01-10622	166	32	around	around	ADP
app01-10622	166	33	1–2	1–2	NUM
app01-10622	166	34	%	%	NOUN
app01-10622	166	35	on	on	ADP
app01-10622	166	36	average	average	ADJ
app01-10622	166	37	.	.	PUNCT
app01-10622	167	1	furthermore	furthermore	ADV
app01-10622	167	2	,	,	PUNCT
app01-10622	167	3	clear	clear	ADJ
app01-10622	167	4	benefits	benefit	NOUN
app01-10622	167	5	of	of	ADP
app01-10622	167	6	using	use	VERB
app01-10622	167	7	this	this	DET
app01-10622	167	8	approach	approach	NOUN
app01-10622	167	9	compared	compare	VERB
app01-10622	167	10	to	to	ADP
app01-10622	167	11	the	the	DET
app01-10622	167	12	use	use	NOUN
app01-10622	167	13	of	of	ADP
app01-10622	167	14	the	the	DET
app01-10622	167	15	standard	standard	ADJ
app01-10622	167	16	tim	tim	PROPN
app01-10622	167	17	value	value	NOUN
app01-10622	167	18	for	for	ADP
app01-10622	167	19	this	this	DET
app01-10622	167	20	operating	operate	VERB
app01-10622	167	21	mode	mode	NOUN
app01-10622	167	22	are	be	AUX
app01-10622	167	23	demonstrated	demonstrate	VERB
app01-10622	167	24	,	,	PUNCT
app01-10622	167	25	highlighting	highlight	VERB
app01-10622	167	26	the	the	DET
app01-10622	167	27	feasibility	feasibility	NOUN
app01-10622	167	28	of	of	ADP
app01-10622	167	29	further	further	ADJ
app01-10622	167	30	research	research	NOUN
app01-10622	167	31	in	in	ADP
app01-10622	167	32	this	this	DET
app01-10622	167	33	area	area	NOUN
app01-10622	167	34	.	.	PUNCT
app01-10622	168	1	such	such	ADJ
app01-10622	168	2	future	future	ADJ
app01-10622	168	3	research	research	NOUN
app01-10622	168	4	should	should	AUX
app01-10622	168	5	include	include	VERB
app01-10622	168	6	other	other	ADJ
app01-10622	168	7	operating	operate	VERB
app01-10622	168	8	modes	mode	NOUN
app01-10622	168	9	of	of	ADP
app01-10622	168	10	the	the	DET
app01-10622	168	11	lto	lto	PROPN
app01-10622	168	12	cycle	cycle	NOUN
app01-10622	168	13	while	while	SCONJ
app01-10622	168	14	placing	place	VERB
app01-10622	168	15	more	more	ADJ
app01-10622	168	16	emphasis	emphasis	NOUN
app01-10622	168	17	on	on	ADP
app01-10622	168	18	further	further	ADJ
app01-10622	168	19	model	model	NOUN
app01-10622	168	20	performance	performance	NOUN
app01-10622	168	21	validation	validation	NOUN
app01-10622	168	22	using	use	VERB
app01-10622	168	23	more	more	ADJ
app01-10622	168	24	real	real	ADJ
app01-10622	168	25	data	datum	NOUN
app01-10622	168	26	from	from	ADP
app01-10622	168	27	different	different	ADJ
app01-10622	168	28	time	time	NOUN
app01-10622	168	29	periods	period	NOUN
app01-10622	168	30	.	.	PUNCT
app01-10622	169	1	in	in	ADP
app01-10622	169	2	order	order	NOUN
app01-10622	169	3	to	to	PART
app01-10622	169	4	allow	allow	VERB
app01-10622	169	5	for	for	ADP
app01-10622	169	6	practical	practical	ADJ
app01-10622	169	7	use	use	NOUN
app01-10622	169	8	in	in	ADP
app01-10622	169	9	creating	create	VERB
app01-10622	169	10	more	more	ADV
app01-10622	169	11	accurate	accurate	ADJ
app01-10622	169	12	airport	airport	NOUN
app01-10622	169	13	127	127	NUM
app01-10622	169	14	bo	bo	NOUN
app01-10622	169	15	stloukal	stloukal	NOUN
app01-10622	169	16	,	,	PUNCT
app01-10622	169	17	ivan	ivan	PROPN
app01-10622	169	18	nagy	nagy	PROPN
app01-10622	169	19	acta	acta	PROPN
app01-10622	169	20	polytechnica	polytechnica	PROPN
app01-10622	169	21	ctu	ctu	PROPN
app01-10622	169	22	proceedings	proceeding	NOUN
app01-10622	169	23	emission	emission	NOUN
app01-10622	169	24	inventories	inventory	NOUN
app01-10622	169	25	,	,	PUNCT
app01-10622	169	26	more	more	ADJ
app01-10622	169	27	aircraft	aircraft	NOUN
app01-10622	169	28	types	type	NOUN
app01-10622	169	29	should	should	AUX
app01-10622	169	30	also	also	ADV
app01-10622	169	31	be	be	AUX
app01-10622	169	32	included	include	VERB
app01-10622	169	33	in	in	ADP
app01-10622	169	34	the	the	DET
app01-10622	169	35	scope	scope	NOUN
app01-10622	169	36	of	of	ADP
app01-10622	169	37	research	research	NOUN
app01-10622	169	38	.	.	PUNCT
app01-10622	170	1	acknowledgements	acknowledgement	NOUN
app01-10622	170	2	the	the	DET
app01-10622	170	3	authors	author	NOUN
app01-10622	170	4	are	be	AUX
app01-10622	170	5	grateful	grateful	ADJ
app01-10622	170	6	to	to	ADP
app01-10622	170	7	the	the	DET
app01-10622	170	8	air	air	NOUN
app01-10622	170	9	navigation	navigation	NOUN
app01-10622	170	10	services	service	NOUN
app01-10622	170	11	of	of	ADP
app01-10622	170	12	the	the	DET
app01-10622	170	13	czech	czech	PROPN
app01-10622	170	14	republic	republic	NOUN
app01-10622	170	15	for	for	ADP
app01-10622	170	16	originally	originally	ADV
app01-10622	170	17	providing	provide	VERB
app01-10622	170	18	the	the	DET
app01-10622	170	19	ads	ad	NOUN
app01-10622	170	20	-	-	PUNCT
app01-10622	170	21	b	b	NOUN
app01-10622	170	22	data	datum	NOUN
app01-10622	170	23	,	,	PUNCT
app01-10622	170	24	without	without	ADP
app01-10622	170	25	which	which	PRON
app01-10622	170	26	this	this	DET
app01-10622	170	27	research	research	NOUN
app01-10622	170	28	would	would	AUX
app01-10622	170	29	not	not	PART
app01-10622	170	30	have	have	AUX
app01-10622	170	31	been	be	AUX
app01-10622	170	32	possible	possible	ADJ
app01-10622	170	33	.	.	PUNCT
app01-10622	171	1	references	reference	NOUN
app01-10622	171	2	[	[	X
app01-10622	171	3	1	1	NUM
app01-10622	171	4	]	]	X
app01-10622	171	5	international	international	ADJ
app01-10622	171	6	civil	civil	ADJ
app01-10622	171	7	aviation	aviation	NOUN
app01-10622	171	8	organization	organization	NOUN
app01-10622	171	9	(	(	PUNCT
app01-10622	171	10	icao	icao	PROPN
app01-10622	171	11	)	)	PUNCT
app01-10622	171	12	.	.	PUNCT
app01-10622	172	1	annex	annex	VERB
app01-10622	172	2	16	16	NUM
app01-10622	172	3	to	to	ADP
app01-10622	172	4	the	the	DET
app01-10622	172	5	convention	convention	NOUN
app01-10622	172	6	on	on	ADP
app01-10622	172	7	international	international	ADJ
app01-10622	172	8	civil	civil	ADJ
app01-10622	172	9	aviation	aviation	NOUN
app01-10622	172	10	,	,	PUNCT
app01-10622	172	11	volume	volume	NOUN
app01-10622	172	12	ii	ii	PROPN
app01-10622	172	13	:	:	PUNCT
app01-10622	172	14	aircraft	aircraft	NOUN
app01-10622	172	15	engine	engine	NOUN
app01-10622	172	16	emissions	emission	NOUN
app01-10622	172	17	.	.	PUNCT
app01-10622	173	1	fifth	fifth	PROPN
app01-10622	173	2	edition	edition	PROPN
app01-10622	173	3	.	.	PUNCT
app01-10622	174	1	icao	icao	PROPN
app01-10622	174	2	,	,	PUNCT
app01-10622	174	3	montréal	montréal	PROPN
app01-10622	174	4	,	,	PUNCT
app01-10622	174	5	2023	2023	NUM
app01-10622	174	6	.	.	PUNCT
app01-10622	175	1	[	[	X
app01-10622	175	2	2	2	NUM
app01-10622	175	3	]	]	PUNCT
app01-10622	175	4	m.	m.	PROPN
app01-10622	175	5	e.	e.	PROPN
app01-10622	175	6	j.	j.	PROPN
app01-10622	175	7	stettler	stettler	PROPN
app01-10622	175	8	,	,	PUNCT
app01-10622	175	9	s.	s.	PROPN
app01-10622	175	10	eastham	eastham	PROPN
app01-10622	175	11	,	,	PUNCT
app01-10622	175	12	s.	s.	PROPN
app01-10622	175	13	r.	r.	PROPN
app01-10622	175	14	h.	h.	PROPN
app01-10622	175	15	barrett	barrett	PROPN
app01-10622	175	16	.	.	PROPN
app01-10622	175	17	air	air	PROPN
app01-10622	175	18	quality	quality	NOUN
app01-10622	175	19	and	and	CCONJ
app01-10622	175	20	public	public	ADJ
app01-10622	175	21	health	health	NOUN
app01-10622	175	22	impacts	impact	NOUN
app01-10622	175	23	of	of	ADP
app01-10622	175	24	uk	uk	PROPN
app01-10622	175	25	airports	airport	NOUN
app01-10622	175	26	.	.	PUNCT
app01-10622	176	1	part	part	NOUN
app01-10622	177	1	i	i	NOUN
app01-10622	177	2	:	:	PUNCT
app01-10622	177	3	emissions	emission	NOUN
app01-10622	177	4	.	.	PUNCT
app01-10622	178	1	atmospheric	atmospheric	ADJ
app01-10622	178	2	environment	environment	NOUN
app01-10622	178	3	45(31):5415–5424	45(31):5415–5424	NUM
app01-10622	178	4	,	,	PUNCT
app01-10622	178	5	2011	2011	NUM
app01-10622	178	6	.	.	PUNCT
app01-10622	179	1	https://doi.org/10.1016/j.atmosenv.2011.07.012	https://doi.org/10.1016/j.atmosenv.2011.07.012	PROPN
app01-10622	180	1	[	[	X
app01-10622	180	2	3	3	X
app01-10622	180	3	]	]	PUNCT
app01-10622	180	4	k.	k.	PROPN
app01-10622	180	5	riley	riley	PROPN
app01-10622	180	6	,	,	PUNCT
app01-10622	180	7	r.	r.	PROPN
app01-10622	180	8	cook	cook	PROPN
app01-10622	180	9	,	,	PUNCT
app01-10622	180	10	e.	e.	PROPN
app01-10622	180	11	carr	carr	PROPN
app01-10622	180	12	,	,	PUNCT
app01-10622	180	13	b.	b.	PROPN
app01-10622	180	14	manning	manning	PROPN
app01-10622	180	15	.	.	PUNCT
app01-10622	181	1	a	a	DET
app01-10622	181	2	systematic	systematic	ADJ
app01-10622	181	3	review	review	NOUN
app01-10622	181	4	of	of	ADP
app01-10622	181	5	the	the	DET
app01-10622	181	6	impact	impact	NOUN
app01-10622	181	7	of	of	ADP
app01-10622	181	8	commercial	commercial	ADJ
app01-10622	181	9	aircraft	aircraft	NOUN
app01-10622	181	10	activity	activity	NOUN
app01-10622	181	11	on	on	ADP
app01-10622	181	12	air	air	NOUN
app01-10622	181	13	quality	quality	NOUN
app01-10622	181	14	near	near	ADP
app01-10622	181	15	airports	airport	NOUN
app01-10622	181	16	.	.	PUNCT
app01-10622	182	1	city	city	NOUN
app01-10622	182	2	and	and	CCONJ
app01-10622	182	3	environment	environment	NOUN
app01-10622	182	4	interactions	interaction	NOUN
app01-10622	182	5	11:100066	11:100066	NUM
app01-10622	182	6	,	,	PUNCT
app01-10622	182	7	2021	2021	NUM
app01-10622	182	8	.	.	PUNCT
app01-10622	183	1	https://doi.org/10.1016/j.cacint.2021.100066	https://doi.org/10.1016/j.cacint.2021.100066	NOUN
app01-10622	183	2	[	[	X
app01-10622	183	3	4	4	NUM
app01-10622	183	4	]	]	X
app01-10622	183	5	i.	i.	PROPN
app01-10622	183	6	yilmaz	yilmaz	PROPN
app01-10622	183	7	.	.	PUNCT
app01-10622	184	1	emissions	emission	NOUN
app01-10622	184	2	from	from	ADP
app01-10622	184	3	passenger	passenger	NOUN
app01-10622	184	4	aircraft	aircraft	NOUN
app01-10622	184	5	at	at	ADP
app01-10622	184	6	kayseri	kayseri	PROPN
app01-10622	184	7	airport	airport	PROPN
app01-10622	184	8	,	,	PUNCT
app01-10622	184	9	turkey	turkey	PROPN
app01-10622	184	10	.	.	PUNCT
app01-10622	185	1	journal	journal	PROPN
app01-10622	185	2	of	of	ADP
app01-10622	185	3	air	air	PROPN
app01-10622	185	4	transport	transport	PROPN
app01-10622	185	5	management	management	PROPN
app01-10622	185	6	58:176–182	58:176–182	PROPN
app01-10622	185	7	,	,	PUNCT
app01-10622	185	8	2017	2017	NUM
app01-10622	185	9	.	.	PUNCT
app01-10622	186	1	https	https	NOUN
app01-10622	186	2	:	:	PUNCT
app01-10622	186	3	//doi.org/10.1016	//doi.org/10.1016	PROPN
app01-10622	186	4	/	/	SYM
app01-10622	186	5	j.jairtraman.2016.11.001	j.jairtraman.2016.11.001	X
app01-10622	186	6	[	[	X
app01-10622	186	7	5	5	NUM
app01-10622	186	8	]	]	PUNCT
app01-10622	186	9	a.	a.	NOUN
app01-10622	186	10	tokuslu	tokuslu	NOUN
app01-10622	186	11	.	.	PUNCT
app01-10622	187	1	estimation	estimation	NOUN
app01-10622	187	2	of	of	ADP
app01-10622	187	3	aircraft	aircraft	NOUN
app01-10622	187	4	emissions	emission	NOUN
app01-10622	187	5	at	at	ADP
app01-10622	187	6	georgian	georgian	PROPN
app01-10622	187	7	international	international	PROPN
app01-10622	187	8	airport	airport	PROPN
app01-10622	187	9	.	.	PUNCT
app01-10622	188	1	energy	energy	NOUN
app01-10622	188	2	206:118219	206:118219	PROPN
app01-10622	188	3	,	,	PUNCT
app01-10622	188	4	2020	2020	NUM
app01-10622	188	5	.	.	PUNCT
app01-10622	189	1	https://doi.org/10.1016/j.energy.2020.118219	https://doi.org/10.1016/j.energy.2020.118219	ADJ
app01-10622	189	2	[	[	X
app01-10622	189	3	6	6	NUM
app01-10622	189	4	]	]	PUNCT
app01-10622	189	5	v.	v.	PROPN
app01-10622	189	6	e.	e.	PROPN
app01-10622	189	7	atasoy	atasoy	PROPN
app01-10622	189	8	,	,	PUNCT
app01-10622	189	9	a.	a.	PROPN
app01-10622	189	10	e.	e.	PROPN
app01-10622	189	11	suzer	suzer	PROPN
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app01-10622	189	13	s.	s.	PROPN
app01-10622	189	14	ekici	ekici	PROPN
app01-10622	189	15	.	.	PUNCT
app01-10622	190	1	environmental	environmental	ADJ
app01-10622	190	2	impact	impact	NOUN
app01-10622	190	3	of	of	ADP
app01-10622	190	4	pollutants	pollutant	NOUN
app01-10622	190	5	from	from	ADP
app01-10622	190	6	commercial	commercial	ADJ
app01-10622	190	7	aircrafts	aircraft	NOUN
app01-10622	190	8	at	at	ADP
app01-10622	190	9	hasan	hasan	PROPN
app01-10622	190	10	polatkan	polatkan	PROPN
app01-10622	190	11	airport	airport	PROPN
app01-10622	190	12	.	.	PUNCT
app01-10622	191	1	aircraft	aircraft	NOUN
app01-10622	191	2	engineering	engineering	NOUN
app01-10622	191	3	and	and	CCONJ
app01-10622	191	4	aerospace	aerospace	NOUN
app01-10622	191	5	technology	technology	NOUN
app01-10622	191	6	93(3):417–428	93(3):417–428	NUM
app01-10622	191	7	,	,	PUNCT
app01-10622	191	8	2021	2021	NUM
app01-10622	191	9	.	.	PUNCT
app01-10622	192	1	https://doi.org/10.1108/aeat-08-2020-0160	https://doi.org/10.1108/aeat-08-2020-0160	NOUN
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app01-10622	193	2	7	7	X
app01-10622	193	3	]	]	PUNCT
app01-10622	193	4	s.	s.	PROPN
app01-10622	193	5	l.	l.	PROPN
app01-10622	193	6	kuzu	kuzu	PROPN
app01-10622	193	7	.	.	PUNCT
app01-10622	194	1	estimation	estimation	NOUN
app01-10622	194	2	and	and	CCONJ
app01-10622	194	3	dispersion	dispersion	NOUN
app01-10622	194	4	modeling	modeling	NOUN
app01-10622	194	5	of	of	ADP
app01-10622	194	6	landing	landing	NOUN
app01-10622	194	7	and	and	CCONJ
app01-10622	194	8	take	take	VERB
app01-10622	194	9	-	-	PUNCT
app01-10622	194	10	off	off	NOUN
app01-10622	194	11	(	(	PUNCT
app01-10622	194	12	lto	lto	PROPN
app01-10622	194	13	)	)	PUNCT
app01-10622	194	14	cycle	cycle	NOUN
app01-10622	194	15	emissions	emission	NOUN
app01-10622	194	16	from	from	ADP
app01-10622	194	17	atatürk	atatürk	PROPN
app01-10622	194	18	international	international	PROPN
app01-10622	194	19	airport	airport	PROPN
app01-10622	194	20	.	.	PUNCT
app01-10622	195	1	air	air	PROPN
app01-10622	195	2	quality	quality	NOUN
app01-10622	195	3	,	,	PUNCT
app01-10622	195	4	atmosphere	atmosphere	NOUN
app01-10622	195	5	and	and	CCONJ
app01-10622	195	6	health	health	NOUN
app01-10622	195	7	11:153–161	11:153–161	NUM
app01-10622	195	8	,	,	PUNCT
app01-10622	195	9	2018	2018	NUM
app01-10622	195	10	.	.	PUNCT
app01-10622	196	1	https://doi.org/10.1007/s11869-017-0525-5	https://doi.org/10.1007/s11869-017-0525-5	NOUN
app01-10622	196	2	[	[	X
app01-10622	196	3	8	8	NUM
app01-10622	196	4	]	]	X
app01-10622	196	5	i.	i.	PROPN
app01-10622	196	6	orhan	orhan	PROPN
app01-10622	196	7	.	.	PUNCT
app01-10622	197	1	passenger	passenger	NOUN
app01-10622	197	2	aircraft	aircraft	NOUN
app01-10622	197	3	emissions	emission	NOUN
app01-10622	197	4	analysis	analysis	NOUN
app01-10622	197	5	at	at	ADP
app01-10622	197	6	ordugiresun	ordugiresun	PROPN
app01-10622	197	7	international	international	PROPN
app01-10622	197	8	airport	airport	PROPN
app01-10622	197	9	,	,	PUNCT
app01-10622	197	10	turkey	turkey	NOUN
app01-10622	197	11	in	in	ADP
app01-10622	197	12	2017	2017	NUM
app01-10622	197	13	.	.	PUNCT
app01-10622	198	1	aircraft	aircraft	NOUN
app01-10622	198	2	engineering	engineering	NOUN
app01-10622	198	3	and	and	CCONJ
app01-10622	198	4	aerospace	aerospace	NOUN
app01-10622	198	5	technology	technology	NOUN
app01-10622	198	6	93(4):682–689	93(4):682–689	NOUN
app01-10622	198	7	,	,	PUNCT
app01-10622	198	8	2021	2021	NUM
app01-10622	198	9	.	.	PUNCT
app01-10622	199	1	https://doi.org/10.1108/aeat-09-2020-0209	https://doi.org/10.1108/aeat-09-2020-0209	NOUN
app01-10622	200	1	[	[	X
app01-10622	200	2	9	9	NUM
app01-10622	200	3	]	]	PUNCT
app01-10622	200	4	c.	c.	PROPN
app01-10622	200	5	zhu	zhu	PROPN
app01-10622	200	6	,	,	PUNCT
app01-10622	200	7	r.	r.	PROPN
app01-10622	200	8	hu	hu	PROPN
app01-10622	200	9	,	,	PUNCT
app01-10622	200	10	b.	b.	PROPN
app01-10622	200	11	liu	liu	PROPN
app01-10622	200	12	,	,	PUNCT
app01-10622	200	13	j.	j.	PROPN
app01-10622	200	14	zhang	zhang	PROPN
app01-10622	200	15	.	.	PUNCT
app01-10622	201	1	uncertainty	uncertainty	NOUN
app01-10622	201	2	and	and	CCONJ
app01-10622	201	3	its	its	PRON
app01-10622	201	4	driving	drive	VERB
app01-10622	201	5	factors	factor	NOUN
app01-10622	201	6	of	of	ADP
app01-10622	201	7	airport	airport	NOUN
app01-10622	201	8	aircraft	aircraft	NOUN
app01-10622	201	9	pollutant	pollutant	ADJ
app01-10622	201	10	emissions	emission	NOUN
app01-10622	201	11	assessment	assessment	NOUN
app01-10622	201	12	.	.	PUNCT
app01-10622	202	1	transportation	transportation	NOUN
app01-10622	202	2	research	research	NOUN
app01-10622	202	3	part	part	NOUN
app01-10622	202	4	d	d	NOUN
app01-10622	202	5	:	:	PUNCT
app01-10622	202	6	transport	transport	NOUN
app01-10622	202	7	and	and	CCONJ
app01-10622	202	8	environment	environment	NOUN
app01-10622	202	9	94:102791	94:102791	NUM
app01-10622	202	10	,	,	PUNCT
app01-10622	202	11	2021	2021	NUM
app01-10622	202	12	.	.	PUNCT
app01-10622	203	1	https://doi.org/10.1016/j.trd.2021.102791	https://doi.org/10.1016/j.trd.2021.102791	PUNCT
app01-10622	204	1	[	[	X
app01-10622	204	2	10	10	NUM
app01-10622	204	3	]	]	X
app01-10622	204	4	e.	e.	PROPN
app01-10622	204	5	t.	t.	PROPN
app01-10622	204	6	turgut	turgut	PROPN
app01-10622	204	7	,	,	PUNCT
app01-10622	204	8	m.	m.	NOUN
app01-10622	204	9	cavcar	cavcar	NOUN
app01-10622	204	10	,	,	PUNCT
app01-10622	204	11	o.	o.	PROPN
app01-10622	204	12	usanmaz	usanmaz	PROPN
app01-10622	204	13	,	,	PUNCT
app01-10622	204	14	et	et	PROPN
app01-10622	204	15	al	al	PROPN
app01-10622	204	16	.	.	PUNCT
app01-10622	205	1	investigating	investigate	VERB
app01-10622	205	2	actual	actual	ADJ
app01-10622	205	3	landing	landing	NOUN
app01-10622	205	4	and	and	CCONJ
app01-10622	205	5	takeoff	takeoff	NOUN
app01-10622	205	6	operations	operation	NOUN
app01-10622	205	7	for	for	ADP
app01-10622	205	8	time	time	NOUN
app01-10622	205	9	-	-	PUNCT
app01-10622	205	10	in	in	ADP
app01-10622	205	11	-	-	PUNCT
app01-10622	205	12	mode	mode	NOUN
app01-10622	205	13	,	,	PUNCT
app01-10622	205	14	fuel	fuel	NOUN
app01-10622	205	15	and	and	CCONJ
app01-10622	205	16	emissions	emission	NOUN
app01-10622	205	17	parameters	parameter	NOUN
app01-10622	205	18	on	on	ADP
app01-10622	205	19	domestic	domestic	ADJ
app01-10622	205	20	routes	route	NOUN
app01-10622	205	21	in	in	ADP
app01-10622	205	22	turkey	turkey	NOUN
app01-10622	205	23	.	.	PUNCT
app01-10622	206	1	transportation	transportation	NOUN
app01-10622	206	2	research	research	NOUN
app01-10622	206	3	part	part	NOUN
app01-10622	206	4	d	d	NOUN
app01-10622	206	5	:	:	PUNCT
app01-10622	206	6	transport	transport	NOUN
app01-10622	206	7	and	and	CCONJ
app01-10622	206	8	environment	environment	NOUN
app01-10622	206	9	53:249–262	53:249–262	PROPN
app01-10622	206	10	,	,	PUNCT
app01-10622	206	11	2017	2017	NUM
app01-10622	206	12	.	.	PUNCT
app01-10622	207	1	https://doi.org/10.1016/j.trd.2017.04.018	https://doi.org/10.1016/j.trd.2017.04.018	X
app01-10622	208	1	[	[	PUNCT
app01-10622	208	2	11	11	NUM
app01-10622	208	3	]	]	PUNCT
app01-10622	208	4	d.	d.	PROPN
app01-10622	208	5	k.	k.	PROPN
app01-10622	208	6	park	park	PROPN
app01-10622	208	7	,	,	PUNCT
app01-10622	208	8	j.	j.	PROPN
app01-10622	208	9	k.	k.	PROPN
app01-10622	208	10	kim	kim	PROPN
app01-10622	208	11	.	.	PUNCT
app01-10622	209	1	influential	influential	ADJ
app01-10622	209	2	factors	factor	NOUN
app01-10622	209	3	to	to	ADP
app01-10622	209	4	aircraft	aircraft	NOUN
app01-10622	209	5	taxi	taxi	NOUN
app01-10622	209	6	time	time	NOUN
app01-10622	209	7	in	in	ADP
app01-10622	209	8	airport	airport	NOUN
app01-10622	209	9	.	.	PUNCT
app01-10622	210	1	journal	journal	PROPN
app01-10622	210	2	of	of	ADP
app01-10622	210	3	air	air	PROPN
app01-10622	210	4	transport	transport	PROPN
app01-10622	210	5	management	management	NOUN
app01-10622	210	6	106:102321	106:102321	NUM
app01-10622	210	7	,	,	PUNCT
app01-10622	210	8	2023	2023	NUM
app01-10622	210	9	.	.	PUNCT
app01-10622	211	1	https	https	NOUN
app01-10622	211	2	:	:	PUNCT
app01-10622	211	3	//doi.org/10.1016	//doi.org/10.1016	PROPN
app01-10622	211	4	/	/	SYM
app01-10622	211	5	j.jairtraman.2022.102321	j.jairtraman.2022.102321	PROPN
app01-10622	212	1	[	[	X
app01-10622	212	2	12	12	NUM
app01-10622	212	3	]	]	PUNCT
app01-10622	212	4	m.	m.	PROPN
app01-10622	212	5	f.	f.	PROPN
app01-10622	212	6	yassin	yassin	PROPN
app01-10622	212	7	,	,	PUNCT
app01-10622	212	8	l.	l.	PROPN
app01-10622	212	9	a.	a.	PROPN
app01-10622	212	10	al	al	PROPN
app01-10622	212	11	-	-	PUNCT
app01-10622	212	12	shatti	shatti	PROPN
app01-10622	212	13	,	,	PUNCT
app01-10622	212	14	m.	m.	NOUN
app01-10622	212	15	s.	s.	PROPN
app01-10622	212	16	al	al	PROPN
app01-10622	212	17	rashidi	rashidi	PROPN
app01-10622	212	18	.	.	PUNCT
app01-10622	213	1	assessment	assessment	NOUN
app01-10622	213	2	of	of	ADP
app01-10622	213	3	the	the	DET
app01-10622	213	4	atmospheric	atmospheric	ADJ
app01-10622	213	5	mixing	mixing	NOUN
app01-10622	213	6	layer	layer	NOUN
app01-10622	213	7	height	height	NOUN
app01-10622	213	8	and	and	CCONJ
app01-10622	213	9	its	its	PRON
app01-10622	213	10	effects	effect	NOUN
app01-10622	213	11	on	on	ADP
app01-10622	213	12	pollutant	pollutant	ADJ
app01-10622	213	13	dispersion	dispersion	NOUN
app01-10622	213	14	.	.	PUNCT
app01-10622	214	1	environmental	environmental	ADJ
app01-10622	214	2	monitoring	monitoring	NOUN
app01-10622	214	3	and	and	CCONJ
app01-10622	214	4	assessment	assessment	NOUN
app01-10622	214	5	190:372	190:372	PROPN
app01-10622	214	6	,	,	PUNCT
app01-10622	214	7	2018	2018	NUM
app01-10622	214	8	.	.	PUNCT
app01-10622	215	1	https://doi.org/10.1007/s10661-018-6737-9	https://doi.org/10.1007/s10661-018-6737-9	NOUN
app01-10622	216	1	[	[	X
app01-10622	216	2	13	13	NUM
app01-10622	216	3	]	]	X
app01-10622	216	4	y.	y.	PROPN
app01-10622	216	5	zhou	zhou	PROPN
app01-10622	216	6	,	,	PUNCT
app01-10622	216	7	y.	y.	PROPN
app01-10622	216	8	jiao	jiao	PROPN
app01-10622	216	9	,	,	PUNCT
app01-10622	216	10	j.	j.	PROPN
app01-10622	216	11	lang	lang	PROPN
app01-10622	216	12	,	,	PUNCT
app01-10622	216	13	et	et	PROPN
app01-10622	216	14	al	al	PROPN
app01-10622	216	15	.	.	PROPN
app01-10622	216	16	improved	improve	VERB
app01-10622	216	17	estimation	estimation	NOUN
app01-10622	216	18	of	of	ADP
app01-10622	216	19	air	air	NOUN
app01-10622	216	20	pollutant	pollutant	ADJ
app01-10622	216	21	emissions	emission	NOUN
app01-10622	216	22	from	from	ADP
app01-10622	216	23	landing	landing	NOUN
app01-10622	216	24	and	and	CCONJ
app01-10622	216	25	takeoff	takeoff	NOUN
app01-10622	216	26	cycles	cycle	NOUN
app01-10622	216	27	of	of	ADP
app01-10622	216	28	civil	civil	ADJ
app01-10622	216	29	aircraft	aircraft	NOUN
app01-10622	216	30	in	in	ADP
app01-10622	216	31	china	china	PROPN
app01-10622	216	32	.	.	PUNCT
app01-10622	217	1	environmental	environmental	ADJ
app01-10622	217	2	pollution	pollution	NOUN
app01-10622	217	3	249:463–471	249:463–471	NUM
app01-10622	217	4	,	,	PUNCT
app01-10622	217	5	2019	2019	NUM
app01-10622	217	6	.	.	PUNCT
app01-10622	218	1	https://doi.org/10.1016/j.envpol.2019.03.088	https://doi.org/10.1016/j.envpol.2019.03.088	PRON
app01-10622	219	1	[	[	X
app01-10622	219	2	14	14	NUM
app01-10622	219	3	]	]	PUNCT
app01-10622	219	4	x.	x.	PROPN
app01-10622	219	5	yang	yang	PROPN
app01-10622	219	6	,	,	PUNCT
app01-10622	219	7	s.	s.	PROPN
app01-10622	219	8	cheng	cheng	PROPN
app01-10622	219	9	,	,	PUNCT
app01-10622	219	10	j.	j.	PROPN
app01-10622	219	11	lang	lang	PROPN
app01-10622	219	12	,	,	PUNCT
app01-10622	219	13	et	et	PROPN
app01-10622	219	14	al	al	PROPN
app01-10622	219	15	.	.	PUNCT
app01-10622	219	16	characterization	characterization	NOUN
app01-10622	219	17	of	of	ADP
app01-10622	219	18	aircraft	aircraft	NOUN
app01-10622	219	19	emissions	emission	NOUN
app01-10622	219	20	and	and	CCONJ
app01-10622	219	21	air	air	NOUN
app01-10622	219	22	quality	quality	NOUN
app01-10622	219	23	impacts	impact	NOUN
app01-10622	219	24	of	of	ADP
app01-10622	219	25	an	an	DET
app01-10622	219	26	international	international	ADJ
app01-10622	219	27	airport	airport	NOUN
app01-10622	219	28	.	.	PUNCT
app01-10622	220	1	journal	journal	PROPN
app01-10622	220	2	of	of	ADP
app01-10622	220	3	environmental	environmental	PROPN
app01-10622	220	4	sciences	sciences	PROPN
app01-10622	220	5	72:198–207	72:198–207	PROPN
app01-10622	220	6	,	,	PUNCT
app01-10622	220	7	2018	2018	NUM
app01-10622	220	8	.	.	PUNCT
app01-10622	221	1	https://doi.org/10.1016/j.jes.2018.01.007	https://doi.org/10.1016/j.jes.2018.01.007	VERB
app01-10622	222	1	[	[	X
app01-10622	222	2	15	15	NUM
app01-10622	222	3	]	]	X
app01-10622	222	4	h.	h.	PROPN
app01-10622	222	5	xu	xu	PROPN
app01-10622	222	6	,	,	PUNCT
app01-10622	222	7	q.	q.	PROPN
app01-10622	222	8	fu	fu	PROPN
app01-10622	222	9	,	,	PUNCT
app01-10622	222	10	y.	y.	PROPN
app01-10622	222	11	yu	yu	PROPN
app01-10622	222	12	,	,	PUNCT
app01-10622	222	13	et	et	PROPN
app01-10622	222	14	al	al	PROPN
app01-10622	222	15	.	.	PUNCT
app01-10622	223	1	quantifying	quantify	VERB
app01-10622	223	2	aircraft	aircraft	NOUN
app01-10622	223	3	emissions	emission	NOUN
app01-10622	223	4	of	of	ADP
app01-10622	223	5	shanghai	shanghai	PROPN
app01-10622	223	6	pudong	pudong	PROPN
app01-10622	223	7	international	international	PROPN
app01-10622	223	8	airport	airport	PROPN
app01-10622	223	9	with	with	ADP
app01-10622	223	10	aircraft	aircraft	NOUN
app01-10622	223	11	ground	ground	VERB
app01-10622	223	12	operational	operational	ADJ
app01-10622	223	13	data	datum	NOUN
app01-10622	223	14	.	.	PUNCT
app01-10622	224	1	environmental	environmental	ADJ
app01-10622	224	2	pollution	pollution	NOUN
app01-10622	224	3	261:114115	261:114115	NUM
app01-10622	224	4	,	,	PUNCT
app01-10622	224	5	2020	2020	NUM
app01-10622	224	6	.	.	PUNCT
app01-10622	225	1	https://doi.org/10.1016/j.envpol.2020.114115	https://doi.org/10.1016/j.envpol.2020.114115	PROPN
app01-10622	225	2	[	[	X
app01-10622	225	3	16	16	NUM
app01-10622	225	4	]	]	PUNCT
app01-10622	225	5	r.	r.	PROPN
app01-10622	225	6	xu	xu	PROPN
app01-10622	225	7	,	,	PUNCT
app01-10622	225	8	j.	j.	PROPN
app01-10622	225	9	l.	l.	PROPN
app01-10622	225	10	lang	lang	PROPN
app01-10622	225	11	,	,	PUNCT
app01-10622	225	12	x.	x.	PROPN
app01-10622	225	13	w.	w.	PROPN
app01-10622	225	14	yang	yang	PROPN
app01-10622	225	15	,	,	PUNCT
app01-10622	225	16	et	et	PROPN
app01-10622	225	17	al	al	PROPN
app01-10622	225	18	.	.	PUNCT
app01-10622	225	19	establishment	establishment	NOUN
app01-10622	225	20	of	of	ADP
app01-10622	225	21	aircraft	aircraft	NOUN
app01-10622	225	22	emission	emission	NOUN
app01-10622	225	23	inventory	inventory	NOUN
app01-10622	225	24	for	for	ADP
app01-10622	225	25	beijing	beijing	PROPN
app01-10622	225	26	capital	capital	PROPN
app01-10622	225	27	international	international	PROPN
app01-10622	225	28	airport	airport	PROPN
app01-10622	225	29	.	.	PUNCT
app01-10622	226	1	zhongguo	zhongguo	PROPN
app01-10622	226	2	huanjing	huanje	VERB
app01-10622	226	3	kexue	kexue	PROPN
app01-10622	226	4	/	/	SYM
app01-10622	226	5	china	china	PROPN
app01-10622	226	6	environmental	environmental	PROPN
app01-10622	226	7	science	science	PROPN
app01-10622	226	8	36(8):2554–2560	36(8):2554–2560	NUM
app01-10622	226	9	,	,	PUNCT
app01-10622	226	10	2016	2016	NUM
app01-10622	226	11	.	.	PUNCT
app01-10622	227	1	[	[	X
app01-10622	227	2	17	17	NUM
app01-10622	227	3	]	]	X
app01-10622	227	4	d.	d.	PROPN
app01-10622	227	5	m.	m.	PROPN
app01-10622	227	6	m.	m.	PROPN
app01-10622	227	7	s.	s.	PROPN
app01-10622	227	8	dissanayaka	dissanayaka	PROPN
app01-10622	227	9	,	,	PUNCT
app01-10622	227	10	v.	v.	CCONJ
app01-10622	227	11	v.	v.	ADP
app01-10622	227	12	adikariwattage	adikariwattage	NOUN
app01-10622	227	13	,	,	PUNCT
app01-10622	227	14	h.	h.	PROPN
app01-10622	227	15	r.	r.	PROPN
app01-10622	227	16	pasindu	pasindu	PROPN
app01-10622	227	17	.	.	PUNCT
app01-10622	228	1	evaluation	evaluation	NOUN
app01-10622	228	2	of	of	ADP
app01-10622	228	3	co2	co2	NOUN
app01-10622	228	4	emission	emission	NOUN
app01-10622	228	5	at	at	ADP
app01-10622	228	6	airports	airport	NOUN
app01-10622	228	7	from	from	ADP
app01-10622	228	8	aircraft	aircraft	NOUN
app01-10622	228	9	operations	operation	NOUN
app01-10622	228	10	within	within	ADP
app01-10622	228	11	the	the	DET
app01-10622	228	12	landing	landing	NOUN
app01-10622	228	13	and	and	CCONJ
app01-10622	228	14	take	take	VERB
app01-10622	228	15	-	-	PUNCT
app01-10622	228	16	off	off	ADP
app01-10622	228	17	cycle	cycle	NOUN
app01-10622	228	18	.	.	PUNCT
app01-10622	229	1	transportation	transportation	NOUN
app01-10622	229	2	research	research	NOUN
app01-10622	229	3	record	record	NOUN
app01-10622	229	4	:	:	PUNCT
app01-10622	229	5	journal	journal	NOUN
app01-10622	229	6	of	of	ADP
app01-10622	229	7	the	the	DET
app01-10622	229	8	transportation	transportation	NOUN
app01-10622	229	9	research	research	PROPN
app01-10622	229	10	board	board	PROPN
app01-10622	229	11	2674(6):444–456	2674(6):444–456	NUM
app01-10622	229	12	,	,	PUNCT
app01-10622	229	13	2020	2020	NUM
app01-10622	229	14	.	.	PUNCT
app01-10622	230	1	https://doi.org/10.1177/0361198120919411	https://doi.org/10.1177/0361198120919411	X
app01-10622	230	2	[	[	X
app01-10622	230	3	18	18	NUM
app01-10622	230	4	]	]	X
app01-10622	230	5	c.	c.	PROPN
app01-10622	230	6	c.	c.	PROPN
app01-10622	230	7	rice	rice	PROPN
app01-10622	230	8	.	.	PUNCT
app01-10622	231	1	validation	validation	NOUN
app01-10622	231	2	of	of	ADP
app01-10622	231	3	approach	approach	NOUN
app01-10622	231	4	and	and	CCONJ
app01-10622	231	5	climb	climb	NOUN
app01-10622	231	6	-	-	PUNCT
app01-10622	231	7	out	out	ADP
app01-10622	231	8	times	time	NOUN
app01-10622	231	9	-	-	PUNCT
app01-10622	231	10	in	in	ADP
app01-10622	231	11	-	-	PUNCT
app01-10622	231	12	mode	mode	NOUN
app01-10622	231	13	for	for	ADP
app01-10622	231	14	aircraft	aircraft	NOUN
app01-10622	231	15	emissions	emission	NOUN
app01-10622	231	16	computation	computation	NOUN
app01-10622	231	17	.	.	PUNCT
app01-10622	232	1	transportation	transportation	NOUN
app01-10622	232	2	research	research	NOUN
app01-10622	232	3	record	record	NOUN
app01-10622	232	4	:	:	PUNCT
app01-10622	232	5	journal	journal	NOUN
app01-10622	232	6	of	of	ADP
app01-10622	232	7	the	the	DET
app01-10622	232	8	transportation	transportation	NOUN
app01-10622	232	9	research	research	PROPN
app01-10622	232	10	board	board	PROPN
app01-10622	232	11	1850(1):79–82	1850(1):79–82	NUM
app01-10622	232	12	,	,	PUNCT
app01-10622	232	13	2003	2003	NUM
app01-10622	232	14	.	.	PUNCT
app01-10622	233	1	https://doi.org/10.3141/1850-09	https://doi.org/10.3141/1850-09	PROPN
app01-10622	234	1	[	[	X
app01-10622	234	2	19	19	NUM
app01-10622	234	3	]	]	PUNCT
app01-10622	234	4	p.	p.	NOUN
app01-10622	234	5	weijun	weijun	PROPN
app01-10622	234	6	,	,	PUNCT
app01-10622	234	7	z.	z.	PROPN
app01-10622	234	8	hengheng	hengheng	PROPN
app01-10622	234	9	,	,	PUNCT
app01-10622	234	10	z.	z.	PROPN
app01-10622	234	11	xiaolei	xiaolei	PROPN
app01-10622	234	12	,	,	PUNCT
app01-10622	234	13	w.	w.	PROPN
app01-10622	234	14	tianyi	tianyi	PROPN
app01-10622	234	15	.	.	PUNCT
app01-10622	235	1	calculation	calculation	NOUN
app01-10622	235	2	and	and	CCONJ
app01-10622	235	3	analysis	analysis	NOUN
app01-10622	235	4	of	of	ADP
app01-10622	235	5	pollutants	pollutant	NOUN
app01-10622	235	6	during	during	ADP
app01-10622	235	7	takeoff	takeoff	NOUN
app01-10622	235	8	and	and	CCONJ
app01-10622	235	9	landing	landing	NOUN
app01-10622	235	10	based	base	VERB
app01-10622	235	11	on	on	ADP
app01-10622	235	12	airborne	airborne	ADJ
app01-10622	235	13	data	datum	NOUN
app01-10622	235	14	.	.	PUNCT
app01-10622	236	1	environmental	environmental	ADJ
app01-10622	236	2	progress	progress	NOUN
app01-10622	236	3	and	and	CCONJ
app01-10622	236	4	sustainable	sustainable	ADJ
app01-10622	236	5	energy	energy	NOUN
app01-10622	236	6	41(2):e13743	41(2):e13743	NOUN
app01-10622	236	7	,	,	PUNCT
app01-10622	236	8	2021	2021	NUM
app01-10622	236	9	.	.	PUNCT
app01-10622	237	1	https://doi.org/10.1002/ep.13743	https://doi.org/10.1002/ep.13743	X
app01-10622	238	1	[	[	X
app01-10622	238	2	20	20	NUM
app01-10622	238	3	]	]	PUNCT
app01-10622	238	4	j.	j.	PROPN
app01-10622	238	5	patterson	patterson	PROPN
app01-10622	238	6	,	,	PUNCT
app01-10622	238	7	g.	g.	PROPN
app01-10622	238	8	j.	j.	PROPN
app01-10622	238	9	noel	noel	PROPN
app01-10622	238	10	,	,	PUNCT
app01-10622	238	11	d.	d.	PROPN
app01-10622	238	12	a.	a.	PROPN
app01-10622	238	13	senzig	senzig	PROPN
app01-10622	238	14	,	,	PUNCT
app01-10622	238	15	et	et	PROPN
app01-10622	238	16	al	al	PROPN
app01-10622	238	17	.	.	PUNCT
app01-10622	239	1	analysis	analysis	NOUN
app01-10622	239	2	of	of	ADP
app01-10622	239	3	departure	departure	NOUN
app01-10622	239	4	and	and	CCONJ
app01-10622	239	5	arrival	arrival	NOUN
app01-10622	239	6	profiles	profile	NOUN
app01-10622	239	7	using	use	VERB
app01-10622	239	8	real	real	ADJ
app01-10622	239	9	-	-	PUNCT
app01-10622	239	10	time	time	NOUN
app01-10622	239	11	aircraft	aircraft	NOUN
app01-10622	239	12	data	datum	NOUN
app01-10622	239	13	.	.	PUNCT
app01-10622	240	1	journal	journal	NOUN
app01-10622	240	2	of	of	ADP
app01-10622	240	3	aircraft	aircraft	NOUN
app01-10622	240	4	46(4):1094–1103	46(4):1094–1103	NUM
app01-10622	240	5	,	,	PUNCT
app01-10622	240	6	2009	2009	NUM
app01-10622	240	7	.	.	PUNCT
app01-10622	241	1	https://doi.org/10.2514/1.42432	https://doi.org/10.2514/1.42432	PROPN
app01-10622	242	1	[	[	X
app01-10622	242	2	21	21	NUM
app01-10622	242	3	]	]	X
app01-10622	242	4	b.	b.	PROPN
app01-10622	242	5	stloukal	stloukal	PROPN
app01-10622	242	6	.	.	PUNCT
app01-10622	243	1	using	use	VERB
app01-10622	243	2	ads	ad	NOUN
app01-10622	243	3	-	-	PUNCT
app01-10622	243	4	b	b	NOUN
app01-10622	243	5	to	to	PART
app01-10622	243	6	improve	improve	VERB
app01-10622	243	7	calculations	calculation	NOUN
app01-10622	243	8	of	of	ADP
app01-10622	243	9	aircraft	aircraft	NOUN
app01-10622	243	10	emissions	emission	NOUN
app01-10622	243	11	at	at	ADP
app01-10622	243	12	airports	airport	NOUN
app01-10622	243	13	.	.	PUNCT
app01-10622	244	1	diploma	diploma	NOUN
app01-10622	244	2	thesis	thesis	NOUN
app01-10622	244	3	,	,	PUNCT
app01-10622	244	4	czech	czech	PROPN
app01-10622	244	5	technical	technical	PROPN
app01-10622	244	6	university	university	PROPN
app01-10622	244	7	in	in	ADP
app01-10622	244	8	prague	prague	PROPN
app01-10622	244	9	,	,	PUNCT
app01-10622	244	10	prague	prague	PROPN
app01-10622	244	11	,	,	PUNCT
app01-10622	244	12	2024	2024	NUM
app01-10622	244	13	.	.	PUNCT
app01-10622	245	1	[	[	X
app01-10622	245	2	2024	2024	NUM
app01-10622	245	3	-	-	SYM
app01-10622	245	4	0914	0914	NUM
app01-10622	245	5	]	]	PUNCT
app01-10622	245	6	.	.	PUNCT
app01-10622	246	1	https://dspace.cvut.cz/handle/10467/115019	https://dspace.cvut.cz/handle/10467/115019	X
app01-10622	246	2	[	[	X
app01-10622	246	3	22	22	NUM
app01-10622	246	4	]	]	PUNCT
app01-10622	246	5	a.	a.	PROPN
app01-10622	246	6	f.	f.	PROPN
app01-10622	246	7	jenkinson	jenkinson	PROPN
app01-10622	246	8	.	.	PUNCT
app01-10622	247	1	the	the	DET
app01-10622	247	2	frequency	frequency	NOUN
app01-10622	247	3	distribution	distribution	NOUN
app01-10622	247	4	of	of	ADP
app01-10622	247	5	the	the	DET
app01-10622	247	6	annual	annual	ADJ
app01-10622	247	7	maximum	maximum	ADJ
app01-10622	247	8	(	(	PUNCT
app01-10622	247	9	or	or	CCONJ
app01-10622	247	10	minimum	minimum	ADJ
app01-10622	247	11	)	)	PUNCT
app01-10622	247	12	values	value	NOUN
app01-10622	247	13	of	of	ADP
app01-10622	247	14	meteorological	meteorological	ADJ
app01-10622	247	15	elements	element	NOUN
app01-10622	247	16	.	.	PUNCT
app01-10622	248	1	quarterly	quarterly	ADJ
app01-10622	248	2	journal	journal	NOUN
app01-10622	248	3	of	of	ADP
app01-10622	248	4	the	the	DET
app01-10622	248	5	royal	royal	PROPN
app01-10622	248	6	meteorological	meteorological	ADJ
app01-10622	248	7	society	society	NOUN
app01-10622	248	8	81(348):158–171	81(348):158–171	PROPN
app01-10622	248	9	,	,	PUNCT
app01-10622	248	10	1955	1955	NUM
app01-10622	248	11	.	.	PUNCT
app01-10622	249	1	https://doi.org/10.1002/qj.49708134804	https://doi.org/10.1002/qj.49708134804	PUNCT
app01-10622	250	1	[	[	X
app01-10622	250	2	23	23	NUM
app01-10622	250	3	]	]	PUNCT
app01-10622	250	4	t.	t.	PROPN
app01-10622	250	5	g.	g.	PROPN
app01-10622	250	6	bali	bali	PROPN
app01-10622	250	7	.	.	PUNCT
app01-10622	251	1	the	the	DET
app01-10622	251	2	generalized	generalize	VERB
app01-10622	251	3	extreme	extreme	ADJ
app01-10622	251	4	value	value	NOUN
app01-10622	251	5	distribution	distribution	NOUN
app01-10622	251	6	.	.	PUNCT
app01-10622	252	1	economics	economic	NOUN
app01-10622	252	2	letters	letter	NOUN
app01-10622	252	3	79(3):423–427	79(3):423–427	NUM
app01-10622	252	4	,	,	PUNCT
app01-10622	252	5	2003	2003	NUM
app01-10622	252	6	.	.	PUNCT
app01-10622	253	1	https://doi.org/10.1016/s0165-1765(03)00035-1	https://doi.org/10.1016/s0165-1765(03)00035-1	NOUN
app01-10622	254	1	[	[	X
app01-10622	254	2	24	24	NUM
app01-10622	254	3	]	]	PUNCT
app01-10622	254	4	mathworks	mathworks	PROPN
app01-10622	254	5	.	.	PUNCT
app01-10622	255	1	generalized	generalize	VERB
app01-10622	255	2	extreme	extreme	ADJ
app01-10622	255	3	value	value	NOUN
app01-10622	255	4	distribution	distribution	NOUN
app01-10622	255	5	.	.	PUNCT
app01-10622	256	1	[	[	X
app01-10622	256	2	2024	2024	NUM
app01-10622	256	3	-	-	SYM
app01-10622	256	4	09	09	NUM
app01-10622	256	5	-	-	SYM
app01-10622	256	6	14	14	NUM
app01-10622	256	7	]	]	PUNCT
app01-10622	256	8	.	.	PUNCT
app01-10622	257	1	https://www.mathworks.com/help/stats/	https://www.mathworks.com/help/stats/	PROPN
app01-10622	257	2	generalized-extreme-value-distribution.html	generalized-extreme-value-distribution.html	VERB
app01-10622	257	3	128	128	NUM
app01-10622	257	4	https://doi.org/10.1016/j.atmosenv.2011.07.012	https://doi.org/10.1016/j.atmosenv.2011.07.012	PROPN
app01-10622	257	5	https://doi.org/10.1016/j.cacint.2021.100066	https://doi.org/10.1016/j.cacint.2021.100066	ADJ
app01-10622	257	6	https://doi.org/10.1016/j.jairtraman.2016.11.001	https://doi.org/10.1016/j.jairtraman.2016.11.001	NOUN
app01-10622	257	7	https://doi.org/10.1016/j.jairtraman.2016.11.001	https://doi.org/10.1016/j.jairtraman.2016.11.001	ADJ
app01-10622	257	8	https://doi.org/10.1016/j.energy.2020.118219	https://doi.org/10.1016/j.energy.2020.118219	ADJ
app01-10622	257	9	https://doi.org/10.1108/aeat-08-2020-0160	https://doi.org/10.1108/aeat-08-2020-0160	NOUN
app01-10622	257	10	https://doi.org/10.1007/s11869-017-0525-5	https://doi.org/10.1007/s11869-017-0525-5	NUM
app01-10622	257	11	https://doi.org/10.1108/aeat-09-2020-0209	https://doi.org/10.1108/aeat-09-2020-0209	NOUN
app01-10622	257	12	https://doi.org/10.1016/j.trd.2021.102791	https://doi.org/10.1016/j.trd.2021.102791	PROPN
app01-10622	258	1	https://doi.org/10.1016/j.trd.2017.04.018	https://doi.org/10.1016/j.trd.2017.04.018	VERB
app01-10622	258	2	https://doi.org/10.1016/j.jairtraman.2022.102321	https://doi.org/10.1016/j.jairtraman.2022.102321	ADJ
app01-10622	258	3	https://doi.org/10.1016/j.jairtraman.2022.102321	https://doi.org/10.1016/j.jairtraman.2022.102321	PROPN
app01-10622	258	4	https://doi.org/10.1007/s10661-018-6737-9	https://doi.org/10.1007/s10661-018-6737-9	NUM
app01-10622	258	5	https://doi.org/10.1016/j.envpol.2019.03.088	https://doi.org/10.1016/j.envpol.2019.03.088	NOUN
app01-10622	258	6	https://doi.org/10.1016/j.jes.2018.01.007	https://doi.org/10.1016/j.jes.2018.01.007	VERB
app01-10622	258	7	https://doi.org/10.1016/j.envpol.2020.114115	https://doi.org/10.1016/j.envpol.2020.114115	PROPN
app01-10622	258	8	https://doi.org/10.1177/0361198120919411	https://doi.org/10.1177/0361198120919411	VERB
app01-10622	258	9	https://doi.org/10.3141/1850-09	https://doi.org/10.3141/1850-09	PROPN
app01-10622	258	10	https://doi.org/10.1002/ep.13743	https://doi.org/10.1002/ep.13743	X
app01-10622	258	11	https://doi.org/10.2514/1.42432	https://doi.org/10.2514/1.42432	PROPN
app01-10622	258	12	https://dspace.cvut.cz/handle/10467/115019	https://dspace.cvut.cz/handle/10467/115019	X
app01-10622	258	13	https://doi.org/10.1002/qj.49708134804	https://doi.org/10.1002/qj.49708134804	PUNCT
app01-10622	258	14	https://doi.org/10.1016/s0165-1765(03)00035-1	https://doi.org/10.1016/s0165-1765(03)00035-1	NOUN
app01-10622	258	15	https://www.mathworks.com/help/stats/generalized-extreme-value-distribution.html	https://www.mathworks.com/help/stats/generalized-extreme-value-distribution.html	PROPN
app01-10622	258	16	https://www.mathworks.com/help/stats/generalized-extreme-value-distribution.html	https://www.mathworks.com/help/stats/generalized-extreme-value-distribution.html	PROPN
app01-10622	258	17	acta	acta	PROPN
app01-10622	258	18	polytechnica	polytechnica	PROPN
app01-10622	258	19	ctu	ctu	NOUN
app01-10622	258	20	proceedings	proceeding	NOUN
app01-10622	258	21	52:122–128	52:122–128	PROPN
app01-10622	258	22	,	,	PUNCT
app01-10622	258	23	2025	2025	NUM
app01-10622	258	24	1	1	NUM
app01-10622	258	25	introduction	introduction	NOUN
app01-10622	258	26	2	2	NUM
app01-10622	258	27	materials	material	NOUN
app01-10622	258	28	and	and	CCONJ
app01-10622	258	29	methods	method	NOUN
app01-10622	258	30	2.1	2.1	NUM
app01-10622	258	31	data	datum	NOUN
app01-10622	258	32	used	use	VERB
app01-10622	258	33	2.2	2.2	NUM
app01-10622	258	34	tim	tim	PROPN
app01-10622	258	35	estimation	estimation	NOUN
app01-10622	258	36	2.3	2.3	NUM
app01-10622	258	37	estimation	estimation	NOUN
app01-10622	258	38	of	of	ADP
app01-10622	258	39	model	model	NOUN
app01-10622	258	40	parameters	parameter	NOUN
app01-10622	258	41	2.4	2.4	NUM
app01-10622	258	42	evaluation	evaluation	NOUN
app01-10622	258	43	of	of	ADP
app01-10622	258	44	estimated	estimate	VERB
app01-10622	258	45	model	model	NOUN
app01-10622	258	46	3	3	NUM
app01-10622	258	47	results	result	VERB
app01-10622	258	48	4	4	NUM
app01-10622	258	49	discussion	discussion	NOUN
app01-10622	258	50	5	5	NUM
app01-10622	258	51	conclusion	conclusion	NOUN
app01-10622	258	52	acknowledgements	acknowledgement	NOUN
app01-10622	258	53	references	reference	NOUN