id	sid	tid	token	lemma	pos
geusb-8292	1	1	methods	method	NOUN
geusb-8292	1	2	article	article	NOUN
geusb-8292	1	3	|	|	ADV
geusb-8292	1	4	short	short	PROPN
geusb-8292	1	5	koch	koch	PROPN
geusb-8292	1	6	&	&	CCONJ
geusb-8292	1	7	schneider	schneider	PROPN
geusb-8292	1	8	2022	2022	NUM
geusb-8292	1	9	:	:	PUNCT
geusb-8292	1	10	geus	geus	NOUN
geusb-8292	1	11	bulletin	bulletin	NOUN
geusb-8292	1	12	49	49	NUM
geusb-8292	1	13	.	.	PUNCT
geusb-8292	1	14	8292	8292	NUM
geusb-8292	1	15	.	.	PUNCT
geusb-8292	2	1	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	2	2	1	1	NUM
geusb-8292	2	3	of	of	ADP
geusb-8292	2	4	7	7	NUM
geusb-8292	2	5	long	long	ADJ
geusb-8292	2	6	short	short	ADJ
geusb-8292	2	7	-	-	PUNCT
geusb-8292	2	8	term	term	NOUN
geusb-8292	2	9	memory	memory	NOUN
geusb-8292	2	10	networks	network	NOUN
geusb-8292	2	11	enhance	enhance	VERB
geusb-8292	2	12	rainfall	rainfall	NOUN
geusb-8292	2	13	-	-	PUNCT
geusb-8292	2	14	runoff	runoff	NOUN
geusb-8292	2	15	modelling	modelling	NOUN
geusb-8292	2	16	at	at	ADP
geusb-8292	2	17	the	the	DET
geusb-8292	2	18	national	national	ADJ
geusb-8292	2	19	scale	scale	NOUN
geusb-8292	2	20	of	of	ADP
geusb-8292	2	21	denmark	denmark	PROPN
geusb-8292	2	22	julian	julian	PROPN
geusb-8292	2	23	koch	koch	PROPN
geusb-8292	2	24	*	*	PROPN
geusb-8292	2	25	,	,	PUNCT
geusb-8292	2	26	raphael	raphael	PROPN
geusb-8292	2	27	schneider	schneider	PROPN
geusb-8292	2	28	department	department	PROPN
geusb-8292	2	29	of	of	ADP
geusb-8292	2	30	hydrology	hydrology	NOUN
geusb-8292	2	31	,	,	PUNCT
geusb-8292	2	32	geological	geological	ADJ
geusb-8292	2	33	survey	survey	NOUN
geusb-8292	2	34	of	of	ADP
geusb-8292	2	35	denmark	denmark	NOUN
geusb-8292	2	36	and	and	CCONJ
geusb-8292	2	37	greenland	greenland	PROPN
geusb-8292	2	38	,	,	PUNCT
geusb-8292	2	39	copenhagen	copenhagen	PROPN
geusb-8292	2	40	,	,	PUNCT
geusb-8292	2	41	denmark	denmark	PROPN
geusb-8292	2	42	abstract	abstract	ADJ
geusb-8292	2	43	this	this	DET
geusb-8292	2	44	study	study	NOUN
geusb-8292	2	45	explores	explore	VERB
geusb-8292	2	46	the	the	DET
geusb-8292	2	47	application	application	NOUN
geusb-8292	2	48	of	of	ADP
geusb-8292	2	49	long	long	ADJ
geusb-8292	2	50	short	short	ADJ
geusb-8292	2	51	-	-	PUNCT
geusb-8292	2	52	term	term	NOUN
geusb-8292	2	53	memory	memory	NOUN
geusb-8292	2	54	(	(	PUNCT
geusb-8292	2	55	lstm	lstm	NOUN
geusb-8292	2	56	)	)	PUNCT
geusb-8292	2	57	networks	network	NOUN
geusb-8292	2	58	to	to	PART
geusb-8292	2	59	simulate	simulate	VERB
geusb-8292	2	60	runoff	runoff	NOUN
geusb-8292	2	61	at	at	ADP
geusb-8292	2	62	the	the	DET
geusb-8292	2	63	national	national	ADJ
geusb-8292	2	64	scale	scale	NOUN
geusb-8292	2	65	of	of	ADP
geusb-8292	2	66	denmark	denmark	NOUN
geusb-8292	2	67	using	use	VERB
geusb-8292	2	68	data	datum	NOUN
geusb-8292	2	69	from	from	ADP
geusb-8292	2	70	301	301	NUM
geusb-8292	2	71	catchments	catchment	NOUN
geusb-8292	2	72	.	.	PUNCT
geusb-8292	3	1	this	this	PRON
geusb-8292	3	2	is	be	AUX
geusb-8292	3	3	the	the	DET
geusb-8292	3	4	first	first	ADJ
geusb-8292	3	5	lstm	lstm	ADJ
geusb-8292	3	6	application	application	NOUN
geusb-8292	3	7	on	on	ADP
geusb-8292	3	8	danish	danish	ADJ
geusb-8292	3	9	data	datum	NOUN
geusb-8292	3	10	.	.	PUNCT
geusb-8292	4	1	the	the	DET
geusb-8292	4	2	results	result	NOUN
geusb-8292	4	3	were	be	AUX
geusb-8292	4	4	benchmarked	benchmarke	VERB
geusb-8292	4	5	against	against	ADP
geusb-8292	4	6	the	the	DET
geusb-8292	4	7	danish	danish	ADJ
geusb-8292	4	8	national	national	PROPN
geusb-8292	4	9	water	water	PROPN
geusb-8292	4	10	resources	resource	NOUN
geusb-8292	4	11	model	model	NOUN
geusb-8292	4	12	(	(	PUNCT
geusb-8292	4	13	dk	dk	NOUN
geusb-8292	4	14	-	-	NOUN
geusb-8292	4	15	model	model	NOUN
geusb-8292	4	16	)	)	PUNCT
geusb-8292	4	17	,	,	PUNCT
geusb-8292	4	18	a	a	DET
geusb-8292	4	19	physically	physically	ADV
geusb-8292	4	20	based	base	VERB
geusb-8292	4	21	hydrological	hydrological	ADJ
geusb-8292	4	22	model	model	NOUN
geusb-8292	4	23	.	.	PUNCT
geusb-8292	5	1	the	the	DET
geusb-8292	5	2	median	median	PROPN
geusb-8292	5	3	kling	kling	PROPN
geusb-8292	5	4	-	-	PUNCT
geusb-8292	5	5	gupta	gupta	PROPN
geusb-8292	5	6	efficiency	efficiency	NOUN
geusb-8292	5	7	(	(	PUNCT
geusb-8292	5	8	kge	kge	NOUN
geusb-8292	5	9	)	)	PUNCT
geusb-8292	5	10	,	,	PUNCT
geusb-8292	5	11	a	a	DET
geusb-8292	5	12	common	common	ADJ
geusb-8292	5	13	metric	metric	NOUN
geusb-8292	5	14	to	to	PART
geusb-8292	5	15	assess	assess	VERB
geusb-8292	5	16	performance	performance	NOUN
geusb-8292	5	17	of	of	ADP
geusb-8292	5	18	runoff	runoff	NOUN
geusb-8292	5	19	predictions	prediction	NOUN
geusb-8292	5	20	(	(	PUNCT
geusb-8292	5	21	optimum	optimum	NOUN
geusb-8292	5	22	of	of	ADP
geusb-8292	5	23	1	1	NUM
geusb-8292	5	24	)	)	PUNCT
geusb-8292	5	25	,	,	PUNCT
geusb-8292	5	26	increased	increase	VERB
geusb-8292	5	27	from	from	ADP
geusb-8292	5	28	0.7	0.7	NUM
geusb-8292	5	29	(	(	PUNCT
geusb-8292	5	30	dk	dk	NOUN
geusb-8292	5	31	-	-	NOUN
geusb-8292	5	32	model	model	NOUN
geusb-8292	5	33	)	)	PUNCT
geusb-8292	5	34	to	to	ADP
geusb-8292	5	35	0.8	0.8	NUM
geusb-8292	5	36	(	(	PUNCT
geusb-8292	5	37	lstm	lstm	PROPN
geusb-8292	5	38	)	)	PUNCT
geusb-8292	5	39	when	when	SCONJ
geusb-8292	5	40	trained	train	VERB
geusb-8292	5	41	against	against	ADP
geusb-8292	5	42	all	all	DET
geusb-8292	5	43	catchments	catchment	NOUN
geusb-8292	5	44	.	.	PUNCT
geusb-8292	6	1	overall	overall	ADV
geusb-8292	6	2	,	,	PUNCT
geusb-8292	6	3	the	the	DET
geusb-8292	6	4	lstm	lstm	NOUN
geusb-8292	6	5	outperformed	outperform	VERB
geusb-8292	6	6	the	the	DET
geusb-8292	6	7	dk	dk	NOUN
geusb-8292	6	8	-	-	NOUN
geusb-8292	6	9	model	model	NOUN
geusb-8292	6	10	in	in	ADP
geusb-8292	6	11	80	80	NUM
geusb-8292	6	12	%	%	NOUN
geusb-8292	6	13	of	of	ADP
geusb-8292	6	14	catchments	catchment	NOUN
geusb-8292	6	15	.	.	PUNCT
geusb-8292	7	1	despite	despite	SCONJ
geusb-8292	7	2	the	the	DET
geusb-8292	7	3	compelling	compelling	ADJ
geusb-8292	7	4	kge	kge	ADJ
geusb-8292	7	5	evaluation	evaluation	NOUN
geusb-8292	7	6	,	,	PUNCT
geusb-8292	7	7	the	the	DET
geusb-8292	7	8	water	water	NOUN
geusb-8292	7	9	balance	balance	NOUN
geusb-8292	7	10	closure	closure	NOUN
geusb-8292	7	11	was	be	AUX
geusb-8292	7	12	modelled	model	VERB
geusb-8292	7	13	less	less	ADV
geusb-8292	7	14	accurately	accurately	ADV
geusb-8292	7	15	by	by	ADP
geusb-8292	7	16	the	the	DET
geusb-8292	7	17	lstm	lstm	NOUN
geusb-8292	7	18	.	.	PUNCT
geusb-8292	8	1	the	the	DET
geusb-8292	8	2	applicability	applicability	NOUN
geusb-8292	8	3	of	of	ADP
geusb-8292	8	4	lstm	lstm	NOUN
geusb-8292	8	5	networks	network	NOUN
geusb-8292	8	6	for	for	ADP
geusb-8292	8	7	modelling	model	VERB
geusb-8292	8	8	ungauged	ungauge	VERB
geusb-8292	8	9	catchments	catchment	NOUN
geusb-8292	8	10	was	be	AUX
geusb-8292	8	11	assessed	assess	VERB
geusb-8292	8	12	via	via	ADP
geusb-8292	8	13	a	a	DET
geusb-8292	8	14	spatial	spatial	ADJ
geusb-8292	8	15	split	split	NOUN
geusb-8292	8	16	-	-	PUNCT
geusb-8292	8	17	sample	sample	NOUN
geusb-8292	8	18	experiment	experiment	NOUN
geusb-8292	8	19	.	.	PUNCT
geusb-8292	9	1	a	a	DET
geusb-8292	9	2	20	20	NUM
geusb-8292	9	3	%	%	NOUN
geusb-8292	9	4	spatial	spatial	ADJ
geusb-8292	9	5	hold	hold	VERB
geusb-8292	9	6	-	-	PUNCT
geusb-8292	9	7	out	out	NOUN
geusb-8292	9	8	showed	show	VERB
geusb-8292	9	9	poorer	poor	ADJ
geusb-8292	9	10	performance	performance	NOUN
geusb-8292	9	11	of	of	ADP
geusb-8292	9	12	the	the	DET
geusb-8292	9	13	lstm	lstm	NOUN
geusb-8292	9	14	with	with	ADP
geusb-8292	9	15	respect	respect	NOUN
geusb-8292	9	16	to	to	ADP
geusb-8292	9	17	the	the	DET
geusb-8292	9	18	dk	dk	PROPN
geusb-8292	9	19	model	model	NOUN
geusb-8292	9	20	.	.	PUNCT
geusb-8292	10	1	however	however	ADV
geusb-8292	10	2	,	,	PUNCT
geusb-8292	10	3	after	after	ADP
geusb-8292	10	4	pre	pre	ADJ
geusb-8292	10	5	-	-	NOUN
geusb-8292	10	6	training	training	NOUN
geusb-8292	10	7	,	,	PUNCT
geusb-8292	10	8	that	that	ADV
geusb-8292	10	9	is	is	ADV
geusb-8292	10	10	,	,	PUNCT
geusb-8292	10	11	weight	weight	NOUN
geusb-8292	10	12	initialisation	initialisation	NOUN
geusb-8292	10	13	obtained	obtain	VERB
geusb-8292	10	14	from	from	ADP
geusb-8292	10	15	training	training	NOUN
geusb-8292	10	16	against	against	ADP
geusb-8292	10	17	simulated	simulated	ADJ
geusb-8292	10	18	data	datum	NOUN
geusb-8292	10	19	from	from	ADP
geusb-8292	10	20	the	the	DET
geusb-8292	10	21	dk	dk	PROPN
geusb-8292	10	22	-	-	NOUN
geusb-8292	10	23	model	model	NOUN
geusb-8292	10	24	,	,	PUNCT
geusb-8292	10	25	the	the	DET
geusb-8292	10	26	performance	performance	NOUN
geusb-8292	10	27	of	of	ADP
geusb-8292	10	28	the	the	DET
geusb-8292	10	29	lstm	lstm	NOUN
geusb-8292	10	30	was	be	AUX
geusb-8292	10	31	effectively	effectively	ADV
geusb-8292	10	32	improved	improve	VERB
geusb-8292	10	33	.	.	PUNCT
geusb-8292	11	1	this	this	PRON
geusb-8292	11	2	formed	form	VERB
geusb-8292	11	3	a	a	DET
geusb-8292	11	4	convincing	convincing	ADJ
geusb-8292	11	5	argument	argument	NOUN
geusb-8292	11	6	supporting	support	VERB
geusb-8292	11	7	the	the	DET
geusb-8292	11	8	knowledge	knowledge	NOUN
geusb-8292	11	9	-	-	PUNCT
geusb-8292	11	10	guided	guide	VERB
geusb-8292	11	11	machine	machine	NOUN
geusb-8292	11	12	learning	learning	NOUN
geusb-8292	11	13	(	(	PUNCT
geusb-8292	11	14	ml	ml	NOUN
geusb-8292	11	15	)	)	PUNCT
geusb-8292	11	16	paradigm	paradigm	NOUN
geusb-8292	11	17	to	to	PART
geusb-8292	11	18	integrate	integrate	VERB
geusb-8292	11	19	physically	physically	ADV
geusb-8292	11	20	based	base	VERB
geusb-8292	11	21	models	model	NOUN
geusb-8292	11	22	and	and	CCONJ
geusb-8292	11	23	ml	ml	AUX
geusb-8292	11	24	to	to	PART
geusb-8292	11	25	train	train	VERB
geusb-8292	11	26	robust	robust	ADJ
geusb-8292	11	27	models	model	NOUN
geusb-8292	11	28	that	that	PRON
geusb-8292	11	29	generalise	generalise	VERB
geusb-8292	11	30	well	well	ADV
geusb-8292	11	31	.	.	PUNCT
geusb-8292	12	1	introduction	introduction	NOUN
geusb-8292	12	2	the	the	DET
geusb-8292	12	3	runoff	runoff	NOUN
geusb-8292	12	4	at	at	ADP
geusb-8292	12	5	a	a	DET
geusb-8292	12	6	given	give	VERB
geusb-8292	12	7	point	point	NOUN
geusb-8292	12	8	along	along	ADP
geusb-8292	12	9	a	a	DET
geusb-8292	12	10	river	river	NOUN
geusb-8292	12	11	network	network	NOUN
geusb-8292	12	12	can	can	AUX
geusb-8292	12	13	be	be	AUX
geusb-8292	12	14	defined	define	VERB
geusb-8292	12	15	as	as	ADP
geusb-8292	12	16	the	the	DET
geusb-8292	12	17	outflow	outflow	NOUN
geusb-8292	12	18	generated	generate	VERB
geusb-8292	12	19	in	in	ADP
geusb-8292	12	20	the	the	DET
geusb-8292	12	21	upstream	upstream	ADJ
geusb-8292	12	22	contributing	contribute	VERB
geusb-8292	12	23	area	area	NOUN
geusb-8292	12	24	.	.	PUNCT
geusb-8292	13	1	accurate	accurate	ADJ
geusb-8292	13	2	modelling	modelling	NOUN
geusb-8292	13	3	of	of	ADP
geusb-8292	13	4	runoff	runoff	NOUN
geusb-8292	13	5	has	have	AUX
geusb-8292	13	6	been	be	AUX
geusb-8292	13	7	a	a	DET
geusb-8292	13	8	prime	prime	ADJ
geusb-8292	13	9	research	research	NOUN
geusb-8292	13	10	theme	theme	NOUN
geusb-8292	13	11	for	for	ADP
geusb-8292	13	12	several	several	ADJ
geusb-8292	13	13	decades	decade	NOUN
geusb-8292	13	14	(	(	PUNCT
geusb-8292	13	15	wagener	wagener	PROPN
geusb-8292	13	16	et	et	PROPN
geusb-8292	13	17	 	 	SPACE
geusb-8292	13	18	al	al	PROPN
geusb-8292	13	19	.	.	PROPN
geusb-8292	13	20	2004	2004	NUM
geusb-8292	13	21	)	)	PUNCT
geusb-8292	13	22	.	.	PUNCT
geusb-8292	14	1	a	a	DET
geusb-8292	14	2	multitude	multitude	NOUN
geusb-8292	14	3	of	of	ADP
geusb-8292	14	4	numerical	numerical	ADJ
geusb-8292	14	5	modelling	modelling	NOUN
geusb-8292	14	6	tools	tool	NOUN
geusb-8292	14	7	,	,	PUNCT
geusb-8292	14	8	from	from	ADP
geusb-8292	14	9	parsimonious	parsimonious	ADJ
geusb-8292	14	10	conceptual	conceptual	ADJ
geusb-8292	14	11	rainfall	rainfall	NOUN
geusb-8292	14	12	-	-	PUNCT
geusb-8292	14	13	runoff	runoff	NOUN
geusb-8292	14	14	models	model	NOUN
geusb-8292	14	15	to	to	PART
geusb-8292	14	16	complex	complex	ADJ
geusb-8292	14	17	fully	fully	ADV
geusb-8292	14	18	distributed	distribute	VERB
geusb-8292	14	19	physically	physically	ADV
geusb-8292	14	20	based	base	VERB
geusb-8292	14	21	models	model	NOUN
geusb-8292	14	22	(	(	PUNCT
geusb-8292	14	23	pbms	pbms	NOUN
geusb-8292	14	24	)	)	PUNCT
geusb-8292	14	25	,	,	PUNCT
geusb-8292	14	26	have	have	AUX
geusb-8292	14	27	been	be	AUX
geusb-8292	14	28	developed	develop	VERB
geusb-8292	14	29	.	.	PUNCT
geusb-8292	15	1	in	in	ADP
geusb-8292	15	2	recent	recent	ADJ
geusb-8292	15	3	years	year	NOUN
geusb-8292	15	4	,	,	PUNCT
geusb-8292	15	5	machine	machine	NOUN
geusb-8292	15	6	learning	learning	NOUN
geusb-8292	15	7	(	(	PUNCT
geusb-8292	15	8	ml	ml	NOUN
geusb-8292	15	9	)	)	PUNCT
geusb-8292	15	10	models	model	NOUN
geusb-8292	15	11	,	,	PUNCT
geusb-8292	15	12	in	in	ADP
geusb-8292	15	13	particular	particular	ADJ
geusb-8292	15	14	,	,	PUNCT
geusb-8292	15	15	long	long	ADJ
geusb-8292	15	16	short	short	ADJ
geusb-8292	15	17	-	-	PUNCT
geusb-8292	15	18	term	term	NOUN
geusb-8292	15	19	memory	memory	NOUN
geusb-8292	15	20	(	(	PUNCT
geusb-8292	15	21	lstm	lstm	NOUN
geusb-8292	15	22	)	)	PUNCT
geusb-8292	15	23	networks	network	NOUN
geusb-8292	15	24	,	,	PUNCT
geusb-8292	15	25	have	have	AUX
geusb-8292	15	26	proved	prove	VERB
geusb-8292	15	27	useful	useful	ADJ
geusb-8292	15	28	for	for	ADP
geusb-8292	15	29	rainfall	rainfall	NOUN
geusb-8292	15	30	-	-	PUNCT
geusb-8292	15	31	runoff	runoff	NOUN
geusb-8292	15	32	modelling	modelling	NOUN
geusb-8292	15	33	.	.	PUNCT
geusb-8292	16	1	since	since	SCONJ
geusb-8292	16	2	the	the	DET
geusb-8292	16	3	first	first	ADJ
geusb-8292	16	4	application	application	NOUN
geusb-8292	16	5	by	by	ADP
geusb-8292	16	6	kratzert	kratzert	PROPN
geusb-8292	16	7	et	et	PROPN
geusb-8292	16	8	 	 	SPACE
geusb-8292	16	9	al	al	PROPN
geusb-8292	16	10	.	.	PROPN
geusb-8292	16	11	(	(	PUNCT
geusb-8292	16	12	2018	2018	NUM
geusb-8292	16	13	)	)	PUNCT
geusb-8292	16	14	,	,	PUNCT
geusb-8292	16	15	lstms	lstms	PROPN
geusb-8292	16	16	quickly	quickly	ADV
geusb-8292	16	17	gained	gain	VERB
geusb-8292	16	18	popularity	popularity	NOUN
geusb-8292	16	19	and	and	CCONJ
geusb-8292	16	20	have	have	AUX
geusb-8292	16	21	typically	typically	ADV
geusb-8292	16	22	outperformed	outperform	VERB
geusb-8292	16	23	traditional	traditional	ADJ
geusb-8292	16	24	hydrological	hydrological	ADJ
geusb-8292	16	25	models	model	NOUN
geusb-8292	16	26	under	under	ADP
geusb-8292	16	27	data	data	NOUN
geusb-8292	16	28	-	-	PUNCT
geusb-8292	16	29	rich	rich	ADJ
geusb-8292	16	30	settings	setting	NOUN
geusb-8292	16	31	(	(	PUNCT
geusb-8292	16	32	mai	mai	PROPN
geusb-8292	16	33	et	et	PROPN
geusb-8292	16	34	al	al	PROPN
geusb-8292	16	35	.	.	PROPN
geusb-8292	16	36	2021	2021	NUM
geusb-8292	16	37	)	)	PUNCT
geusb-8292	16	38	and	and	CCONJ
geusb-8292	16	39	in	in	ADP
geusb-8292	16	40	ungauged	ungauged	ADJ
geusb-8292	16	41	catchments	catchment	NOUN
geusb-8292	16	42	(	(	PUNCT
geusb-8292	16	43	kratzert	kratzert	NOUN
geusb-8292	16	44	et	et	PROPN
geusb-8292	16	45	al	al	PROPN
geusb-8292	16	46	.	.	PROPN
geusb-8292	16	47	2019a	2019a	NUM
geusb-8292	16	48	)	)	PUNCT
geusb-8292	16	49	.	.	PUNCT
geusb-8292	17	1	the	the	DET
geusb-8292	17	2	knowledge	knowledge	NOUN
geusb-8292	17	3	-	-	PUNCT
geusb-8292	17	4	guided	guide	VERB
geusb-8292	17	5	ml	ml	NOUN
geusb-8292	17	6	paradigm	paradigm	NOUN
geusb-8292	17	7	aims	aim	VERB
geusb-8292	17	8	to	to	PART
geusb-8292	17	9	increase	increase	VERB
geusb-8292	17	10	robustness	robustness	NOUN
geusb-8292	17	11	and	and	CCONJ
geusb-8292	17	12	generalisability	generalisability	NOUN
geusb-8292	17	13	by	by	ADP
geusb-8292	17	14	integrating	integrate	VERB
geusb-8292	17	15	scientific	scientific	ADJ
geusb-8292	17	16	knowledge	knowledge	NOUN
geusb-8292	17	17	into	into	ADP
geusb-8292	17	18	ml	ml	NOUN
geusb-8292	17	19	models	model	NOUN
geusb-8292	17	20	(	(	PUNCT
geusb-8292	17	21	nearing	near	VERB
geusb-8292	17	22	et	et	NOUN
geusb-8292	17	23	al	al	PROPN
geusb-8292	17	24	.	.	PROPN
geusb-8292	17	25	2020	2020	NUM
geusb-8292	17	26	;	;	PUNCT
geusb-8292	17	27	reichstein	reichstein	VERB
geusb-8292	17	28	et	et	PROPN
geusb-8292	17	29	al	al	PROPN
geusb-8292	17	30	.	.	PROPN
geusb-8292	17	31	2019	2019	NUM
geusb-8292	17	32	)	)	PUNCT
geusb-8292	17	33	.	.	PUNCT
geusb-8292	18	1	this	this	PRON
geusb-8292	18	2	can	can	AUX
geusb-8292	18	3	be	be	AUX
geusb-8292	18	4	achieved	achieve	VERB
geusb-8292	18	5	by	by	ADP
geusb-8292	18	6	building	build	VERB
geusb-8292	18	7	physical	physical	ADJ
geusb-8292	18	8	constraints	constraint	NOUN
geusb-8292	18	9	,	,	PUNCT
geusb-8292	18	10	such	such	ADJ
geusb-8292	18	11	as	as	ADP
geusb-8292	18	12	the	the	DET
geusb-8292	18	13	first	first	ADJ
geusb-8292	18	14	-	-	PUNCT
geusb-8292	18	15	principle	principle	NOUN
geusb-8292	18	16	law	law	NOUN
geusb-8292	18	17	of	of	ADP
geusb-8292	18	18	mass	mass	ADJ
geusb-8292	18	19	conservation	conservation	NOUN
geusb-8292	18	20	(	(	PUNCT
geusb-8292	18	21	hoedt	hoedt	NOUN
geusb-8292	18	22	 	 	SPACE
geusb-8292	18	23	et	et	PROPN
geusb-8292	18	24	 	 	SPACE
geusb-8292	18	25	al	al	PROPN
geusb-8292	18	26	.	.	PROPN
geusb-8292	18	27	2021	2021	NUM
geusb-8292	18	28	)	)	PUNCT
geusb-8292	18	29	,	,	PUNCT
geusb-8292	18	30	into	into	ADP
geusb-8292	18	31	a	a	DET
geusb-8292	18	32	ml	ml	NOUN
geusb-8292	18	33	model	model	NOUN
geusb-8292	18	34	or	or	CCONJ
geusb-8292	18	35	using	use	VERB
geusb-8292	18	36	a	a	DET
geusb-8292	18	37	pbm	pbm	NOUN
geusb-8292	18	38	to	to	PART
geusb-8292	18	39	augment	augment	VERB
geusb-8292	18	40	training	training	NOUN
geusb-8292	18	41	data	datum	NOUN
geusb-8292	18	42	(	(	PUNCT
geusb-8292	18	43	jia	jia	PROPN
geusb-8292	18	44	et	et	PROPN
geusb-8292	18	45	al	al	PROPN
geusb-8292	18	46	.	.	PUNCT
geusb-8292	19	1	*	*	PUNCT
geusb-8292	19	2	correspondence	correspondence	NOUN
geusb-8292	19	3	:	:	PUNCT
geusb-8292	20	1	juko@geus.dk	juko@geus.dk	PROPN
geusb-8292	20	2	received	receive	VERB
geusb-8292	20	3	:	:	PUNCT
geusb-8292	20	4	17	17	NUM
geusb-8292	20	5	aug	aug	PROPN
geusb-8292	20	6	2021	2021	NUM
geusb-8292	20	7	accepted	accept	VERB
geusb-8292	20	8	:	:	PUNCT
geusb-8292	20	9	07	07	NUM
geusb-8292	20	10	dec	dec	PROPN
geusb-8292	20	11	2021	2021	NUM
geusb-8292	20	12	published	publish	VERB
geusb-8292	20	13	:	:	PUNCT
geusb-8292	20	14	13	13	NUM
geusb-8292	20	15	jan	jan	PROPN
geusb-8292	20	16	2022	2022	NUM
geusb-8292	20	17	keywords	keyword	NOUN
geusb-8292	20	18	:	:	PUNCT
geusb-8292	20	19	rainfall	rainfall	NOUN
geusb-8292	20	20	-	-	PUNCT
geusb-8292	20	21	runoff	runoff	NOUN
geusb-8292	20	22	modelling	modelling	NOUN
geusb-8292	20	23	,	,	PUNCT
geusb-8292	20	24	long	long	ADJ
geusb-8292	20	25	-	-	PUNCT
geusb-8292	20	26	short	short	ADJ
geusb-8292	20	27	term	term	NOUN
geusb-8292	20	28	memory	memory	NOUN
geusb-8292	20	29	networks	network	NOUN
geusb-8292	20	30	,	,	PUNCT
geusb-8292	20	31	deep	deep	ADJ
geusb-8292	20	32	learning	learning	NOUN
geusb-8292	20	33	,	,	PUNCT
geusb-8292	20	34	knowledge	knowledge	NOUN
geusb-8292	20	35	-	-	PUNCT
geusb-8292	20	36	guided	guide	VERB
geusb-8292	20	37	machine	machine	NOUN
geusb-8292	20	38	learning	learning	NOUN
geusb-8292	20	39	,	,	PUNCT
geusb-8292	20	40	pre	pre	ADJ
geusb-8292	20	41	-	-	ADJ
geusb-8292	20	42	training	training	ADJ
geusb-8292	20	43	-	-	PUNCT
geusb-8292	20	44	finetuning	finetune	VERB
geusb-8292	20	45	abbreviations	abbreviation	NOUN
geusb-8292	20	46	:	:	PUNCT
geusb-8292	20	47	camels	camel	NOUN
geusb-8292	20	48	:	:	PUNCT
geusb-8292	20	49	catchment	catchment	NOUN
geusb-8292	20	50	attributes	attribute	NOUN
geusb-8292	20	51	and	and	CCONJ
geusb-8292	20	52	meteorology	meteorology	NOUN
geusb-8292	20	53	for	for	ADP
geusb-8292	20	54	large	large	ADJ
geusb-8292	20	55	-	-	PUNCT
geusb-8292	20	56	sample	sample	NOUN
geusb-8292	20	57	studies	study	NOUN
geusb-8292	20	58	fbal	fbal	ADJ
geusb-8292	20	59	:	:	PUNCT
geusb-8292	20	60	flow	flow	NOUN
geusb-8292	20	61	balance	balance	NOUN
geusb-8292	20	62	kge	kge	NOUN
geusb-8292	20	63	:	:	PUNCT
geusb-8292	20	64	kling	kle	VERB
geusb-8292	20	65	-	-	PUNCT
geusb-8292	20	66	gupta	gupta	PROPN
geusb-8292	20	67	efficiency	efficiency	NOUN
geusb-8292	20	68	lstm	lstm	NOUN
geusb-8292	20	69	:	:	PUNCT
geusb-8292	20	70	long	long	ADJ
geusb-8292	20	71	short	short	ADJ
geusb-8292	20	72	-	-	PUNCT
geusb-8292	20	73	term	term	NOUN
geusb-8292	20	74	memory	memory	NOUN
geusb-8292	20	75	ml	ml	NOUN
geusb-8292	20	76	:	:	PUNCT
geusb-8292	20	77	machine	machine	NOUN
geusb-8292	20	78	learning	learn	VERB
geusb-8292	20	79	mse	mse	PROPN
geusb-8292	20	80	:	:	PUNCT
geusb-8292	20	81	mean	mean	VERB
geusb-8292	20	82	squared	square	VERB
geusb-8292	20	83	error	error	NOUN
geusb-8292	20	84	pbm	pbm	NOUN
geusb-8292	20	85	:	:	PUNCT
geusb-8292	20	86	physically	physically	ADV
geusb-8292	20	87	based	base	VERB
geusb-8292	20	88	model	model	NOUN
geusb-8292	20	89	geus	geus	NOUN
geusb-8292	20	90	bulletin	bulletin	NOUN
geusb-8292	20	91	is	be	AUX
geusb-8292	20	92	an	an	DET
geusb-8292	20	93	open	open	ADJ
geusb-8292	20	94	access	access	NOUN
geusb-8292	20	95	,	,	PUNCT
geusb-8292	20	96	peerreviewed	peerreviewe	VERB
geusb-8292	20	97	journal	journal	NOUN
geusb-8292	20	98	published	publish	VERB
geusb-8292	20	99	by	by	ADP
geusb-8292	20	100	the	the	DET
geusb-8292	20	101	geological	geological	ADJ
geusb-8292	20	102	survey	survey	NOUN
geusb-8292	20	103	of	of	ADP
geusb-8292	20	104	denmark	denmark	NOUN
geusb-8292	20	105	and	and	CCONJ
geusb-8292	20	106	greenland	greenland	PROPN
geusb-8292	20	107	(	(	PUNCT
geusb-8292	20	108	geus	geus	NOUN
geusb-8292	20	109	)	)	PUNCT
geusb-8292	20	110	.	.	PUNCT
geusb-8292	21	1	this	this	DET
geusb-8292	21	2	article	article	NOUN
geusb-8292	21	3	is	be	AUX
geusb-8292	21	4	distributed	distribute	VERB
geusb-8292	21	5	under	under	ADP
geusb-8292	21	6	a	a	DET
geusb-8292	21	7	cc	cc	NOUN
geusb-8292	21	8	-	-	PUNCT
geusb-8292	21	9	by	by	ADP
geusb-8292	21	10	4.0	4.0	NUM
geusb-8292	21	11	licence	licence	NOUN
geusb-8292	21	12	,	,	PUNCT
geusb-8292	21	13	permitting	permit	VERB
geusb-8292	21	14	free	free	ADJ
geusb-8292	21	15	redistribution	redistribution	NOUN
geusb-8292	21	16	,	,	PUNCT
geusb-8292	21	17	and	and	CCONJ
geusb-8292	21	18	reproduction	reproduction	NOUN
geusb-8292	21	19	for	for	ADP
geusb-8292	21	20	any	any	DET
geusb-8292	21	21	purpose	purpose	NOUN
geusb-8292	21	22	,	,	PUNCT
geusb-8292	21	23	even	even	ADV
geusb-8292	21	24	commercial	commercial	ADJ
geusb-8292	21	25	,	,	PUNCT
geusb-8292	21	26	provided	provide	VERB
geusb-8292	21	27	proper	proper	ADJ
geusb-8292	21	28	citation	citation	NOUN
geusb-8292	21	29	of	of	ADP
geusb-8292	21	30	the	the	DET
geusb-8292	21	31	original	original	ADJ
geusb-8292	21	32	work	work	NOUN
geusb-8292	21	33	.	.	PUNCT
geusb-8292	22	1	author(s	author(s	NOUN
geusb-8292	22	2	)	)	PUNCT
geusb-8292	22	3	retain	retain	VERB
geusb-8292	22	4	copyright	copyright	NOUN
geusb-8292	22	5	.	.	PUNCT
geusb-8292	23	1	edited	edit	VERB
geusb-8292	23	2	by	by	ADP
geusb-8292	23	3	:	:	PUNCT
geusb-8292	23	4	hyojin	hyojin	PROPN
geusb-8292	23	5	kim	kim	PROPN
geusb-8292	23	6	(	(	PUNCT
geusb-8292	23	7	geus	geus	NOUN
geusb-8292	23	8	,	,	PUNCT
geusb-8292	23	9	denmark	denmark	PROPN
geusb-8292	23	10	)	)	PUNCT
geusb-8292	23	11	reviewed	review	VERB
geusb-8292	23	12	by	by	ADP
geusb-8292	23	13	:	:	PUNCT
geusb-8292	23	14	two	two	NUM
geusb-8292	23	15	anonymous	anonymous	ADJ
geusb-8292	23	16	reviewers	reviewer	NOUN
geusb-8292	23	17	.	.	PUNCT
geusb-8292	24	1	funding	funding	NOUN
geusb-8292	24	2	:	:	PUNCT
geusb-8292	24	3	none	none	NOUN
geusb-8292	24	4	provided	provide	VERB
geusb-8292	24	5	competing	compete	VERB
geusb-8292	24	6	interests	interest	NOUN
geusb-8292	24	7	:	:	PUNCT
geusb-8292	24	8	see	see	VERB
geusb-8292	24	9	page	page	NOUN
geusb-8292	24	10	6	6	NUM
geusb-8292	24	11	additional	additional	ADJ
geusb-8292	24	12	files	file	NOUN
geusb-8292	24	13	:	:	PUNCT
geusb-8292	24	14	see	see	VERB
geusb-8292	24	15	page	page	NOUN
geusb-8292	24	16	6	6	NUM
geusb-8292	24	17	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	24	18	https://orcid.org/0000-0002-7732-3436	https://orcid.org/0000-0002-7732-3436	PROPN
geusb-8292	24	19	https://orcid.org/0000-0001-9628-0809	https://orcid.org/0000-0001-9628-0809	PROPN
geusb-8292	24	20	mailto:juko@geus.dk	mailto:juko@geus.dk	PROPN
geusb-8292	24	21	koch	koch	PROPN
geusb-8292	24	22	&	&	CCONJ
geusb-8292	24	23	schneider	schneider	PROPN
geusb-8292	24	24	2022	2022	NUM
geusb-8292	24	25	:	:	PUNCT
geusb-8292	24	26	geus	geus	NOUN
geusb-8292	24	27	bulletin	bulletin	NOUN
geusb-8292	24	28	49	49	NUM
geusb-8292	24	29	.	.	PUNCT
geusb-8292	25	1	8292	8292	NUM
geusb-8292	25	2	.	.	PUNCT
geusb-8292	26	1	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	26	2	2	2	NUM
geusb-8292	26	3	of	of	ADP
geusb-8292	26	4	7	7	NUM
geusb-8292	26	5	www.geusbul	www.geusbul	NOUN
geusb-8292	26	6	let	let	VERB
geusb-8292	26	7	in.org	in.org	ADJ
geusb-8292	26	8	2021	2021	NUM
geusb-8292	26	9	)	)	PUNCT
geusb-8292	26	10	.	.	PUNCT
geusb-8292	27	1	in	in	ADP
geusb-8292	27	2	this	this	DET
geusb-8292	27	3	context	context	NOUN
geusb-8292	27	4	,	,	PUNCT
geusb-8292	27	5	the	the	DET
geusb-8292	27	6	method	method	NOUN
geusb-8292	27	7	of	of	ADP
geusb-8292	27	8	pre	pre	NOUN
geusb-8292	27	9	-	-	NOUN
geusb-8292	27	10	training	training	NOUN
geusb-8292	27	11	by	by	ADP
geusb-8292	27	12	weight	weight	NOUN
geusb-8292	27	13	initialisation	initialisation	NOUN
geusb-8292	27	14	using	use	VERB
geusb-8292	27	15	pbm	pbm	NOUN
geusb-8292	27	16	simulation	simulation	NOUN
geusb-8292	27	17	data	datum	NOUN
geusb-8292	27	18	appears	appear	VERB
geusb-8292	27	19	to	to	PART
geusb-8292	27	20	be	be	AUX
geusb-8292	27	21	very	very	ADV
geusb-8292	27	22	promising	promising	ADJ
geusb-8292	27	23	,	,	PUNCT
geusb-8292	27	24	as	as	SCONJ
geusb-8292	27	25	a	a	DET
geusb-8292	27	26	pre	pre	ADJ
geusb-8292	27	27	-	-	ADJ
geusb-8292	27	28	trained	train	VERB
geusb-8292	27	29	lstm	lstm	NOUN
geusb-8292	27	30	attempts	attempt	VERB
geusb-8292	27	31	to	to	PART
geusb-8292	27	32	emulate	emulate	VERB
geusb-8292	27	33	a	a	DET
geusb-8292	27	34	pbm	pbm	NOUN
geusb-8292	27	35	.	.	PUNCT
geusb-8292	28	1	the	the	DET
geusb-8292	28	2	rapid	rapid	ADJ
geusb-8292	28	3	advancement	advancement	NOUN
geusb-8292	28	4	of	of	ADP
geusb-8292	28	5	ml	ml	NOUN
geusb-8292	28	6	models	model	NOUN
geusb-8292	28	7	for	for	ADP
geusb-8292	28	8	runoff	runoff	NOUN
geusb-8292	28	9	prediction	prediction	NOUN
geusb-8292	28	10	was	be	AUX
geusb-8292	28	11	facilitated	facilitate	VERB
geusb-8292	28	12	by	by	ADP
geusb-8292	28	13	the	the	DET
geusb-8292	28	14	availability	availability	NOUN
geusb-8292	28	15	of	of	ADP
geusb-8292	28	16	multiple	multiple	ADJ
geusb-8292	28	17	large	large	ADJ
geusb-8292	28	18	-	-	PUNCT
geusb-8292	28	19	scale	scale	NOUN
geusb-8292	28	20	runoff	runoff	NOUN
geusb-8292	28	21	data	datum	NOUN
geusb-8292	28	22	sets	set	NOUN
geusb-8292	28	23	containing	contain	VERB
geusb-8292	28	24	a	a	DET
geusb-8292	28	25	long	long	ADJ
geusb-8292	28	26	timeseries	timeserie	NOUN
geusb-8292	28	27	of	of	ADP
geusb-8292	28	28	observed	observed	ADJ
geusb-8292	28	29	runoff	runoff	NOUN
geusb-8292	28	30	,	,	PUNCT
geusb-8292	28	31	dynamic	dynamic	ADJ
geusb-8292	28	32	meteorological	meteorological	ADJ
geusb-8292	28	33	forcing	forcing	NOUN
geusb-8292	28	34	and	and	CCONJ
geusb-8292	28	35	static	static	ADJ
geusb-8292	28	36	catchment	catchment	NOUN
geusb-8292	28	37	attributes	attribute	VERB
geusb-8292	28	38	,	,	PUNCT
geusb-8292	28	39	referred	refer	VERB
geusb-8292	28	40	to	to	ADP
geusb-8292	28	41	as	as	ADP
geusb-8292	28	42	catchment	catchment	NOUN
geusb-8292	28	43	attributes	attribute	NOUN
geusb-8292	28	44	and	and	CCONJ
geusb-8292	28	45	meteorology	meteorology	NOUN
geusb-8292	28	46	for	for	ADP
geusb-8292	28	47	large	large	ADJ
geusb-8292	28	48	-	-	PUNCT
geusb-8292	28	49	sample	sample	NOUN
geusb-8292	28	50	studies	study	NOUN
geusb-8292	28	51	(	(	PUNCT
geusb-8292	28	52	camels	camel	NOUN
geusb-8292	28	53	)	)	PUNCT
geusb-8292	28	54	data	datum	NOUN
geusb-8292	28	55	sets	set	NOUN
geusb-8292	28	56	(	(	PUNCT
geusb-8292	28	57	e.g.	e.g.	ADV
geusb-8292	28	58	addor	addor	NOUN
geusb-8292	28	59	et	et	PROPN
geusb-8292	28	60	al	al	PROPN
geusb-8292	28	61	.	.	PROPN
geusb-8292	28	62	2017	2017	NUM
geusb-8292	28	63	)	)	PUNCT
geusb-8292	28	64	.	.	PUNCT
geusb-8292	29	1	in	in	ADP
geusb-8292	29	2	this	this	DET
geusb-8292	29	3	article	article	NOUN
geusb-8292	29	4	,	,	PUNCT
geusb-8292	29	5	we	we	PRON
geusb-8292	29	6	highlight	highlight	VERB
geusb-8292	29	7	the	the	DET
geusb-8292	29	8	value	value	NOUN
geusb-8292	29	9	of	of	ADP
geusb-8292	29	10	danish	danish	ADJ
geusb-8292	29	11	hydrological	hydrological	ADJ
geusb-8292	29	12	big	big	ADJ
geusb-8292	29	13	data	datum	NOUN
geusb-8292	29	14	for	for	ADP
geusb-8292	29	15	the	the	DET
geusb-8292	29	16	advancement	advancement	NOUN
geusb-8292	29	17	of	of	ADP
geusb-8292	29	18	ml	ml	NOUN
geusb-8292	29	19	-	-	PUNCT
geusb-8292	29	20	based	base	VERB
geusb-8292	29	21	runoff	runoff	NOUN
geusb-8292	29	22	modelling	modelling	NOUN
geusb-8292	29	23	.	.	PUNCT
geusb-8292	30	1	the	the	DET
geusb-8292	30	2	danish	danish	ADJ
geusb-8292	30	3	case	case	NOUN
geusb-8292	30	4	offers	offer	VERB
geusb-8292	30	5	a	a	DET
geusb-8292	30	6	data	data	NOUN
geusb-8292	30	7	-	-	PUNCT
geusb-8292	30	8	rich	rich	ADJ
geusb-8292	30	9	setting	setting	NOUN
geusb-8292	30	10	with	with	ADP
geusb-8292	30	11	over	over	ADP
geusb-8292	30	12	300	300	NUM
geusb-8292	30	13	stations	station	NOUN
geusb-8292	30	14	and	and	CCONJ
geusb-8292	30	15	high	high	ADJ
geusb-8292	30	16	-	-	PUNCT
geusb-8292	30	17	quality	quality	NOUN
geusb-8292	30	18	auxiliary	auxiliary	ADJ
geusb-8292	30	19	data	datum	NOUN
geusb-8292	30	20	.	.	PUNCT
geusb-8292	31	1	moreover	moreover	ADV
geusb-8292	31	2	,	,	PUNCT
geusb-8292	31	3	there	there	PRON
geusb-8292	31	4	exists	exist	VERB
geusb-8292	31	5	a	a	DET
geusb-8292	31	6	national	national	ADJ
geusb-8292	31	7	water	water	NOUN
geusb-8292	31	8	resources	resource	NOUN
geusb-8292	31	9	model	model	NOUN
geusb-8292	31	10	(	(	PUNCT
geusb-8292	31	11	the	the	DET
geusb-8292	31	12	dk	dk	PROPN
geusb-8292	31	13	-	-	NOUN
geusb-8292	31	14	model	model	NOUN
geusb-8292	31	15	)	)	PUNCT
geusb-8292	31	16	,	,	PUNCT
geusb-8292	31	17	an	an	DET
geusb-8292	31	18	advanced	advanced	ADJ
geusb-8292	31	19	hydrological	hydrological	ADJ
geusb-8292	31	20	pbm	pbm	NOUN
geusb-8292	31	21	that	that	PRON
geusb-8292	31	22	integrates	integrate	VERB
geusb-8292	31	23	groundwater	groundwater	NOUN
geusb-8292	31	24	and	and	CCONJ
geusb-8292	31	25	surface	surface	NOUN
geusb-8292	31	26	water	water	NOUN
geusb-8292	31	27	processes	process	NOUN
geusb-8292	31	28	(	(	PUNCT
geusb-8292	31	29	højberg	højberg	PROPN
geusb-8292	31	30	et	et	PROPN
geusb-8292	31	31	al	al	PROPN
geusb-8292	31	32	.	.	PROPN
geusb-8292	31	33	2013	2013	NUM
geusb-8292	31	34	;	;	PUNCT
geusb-8292	31	35	stisen	stisen	PROPN
geusb-8292	31	36	et	et	PROPN
geusb-8292	31	37	al	al	PROPN
geusb-8292	31	38	.	.	PROPN
geusb-8292	31	39	2019	2019	NUM
geusb-8292	31	40	)	)	PUNCT
geusb-8292	31	41	.	.	PUNCT
geusb-8292	32	1	the	the	DET
geusb-8292	32	2	dk	dk	PROPN
geusb-8292	32	3	-	-	PUNCT
geusb-8292	32	4	model	model	NOUN
geusb-8292	32	5	is	be	AUX
geusb-8292	32	6	a	a	DET
geusb-8292	32	7	perfect	perfect	ADJ
geusb-8292	32	8	benchmark	benchmark	NOUN
geusb-8292	32	9	for	for	ADP
geusb-8292	32	10	ml	ml	NOUN
geusb-8292	32	11	model	model	NOUN
geusb-8292	32	12	development	development	NOUN
geusb-8292	32	13	and	and	CCONJ
geusb-8292	32	14	provides	provide	VERB
geusb-8292	32	15	simulated	simulated	ADJ
geusb-8292	32	16	runoff	runoff	NOUN
geusb-8292	32	17	,	,	PUNCT
geusb-8292	32	18	which	which	PRON
geusb-8292	32	19	is	be	AUX
geusb-8292	32	20	valuable	valuable	ADJ
geusb-8292	32	21	for	for	ADP
geusb-8292	32	22	augmentation	augmentation	NOUN
geusb-8292	32	23	,	,	PUNCT
geusb-8292	32	24	as	as	ADV
geusb-8292	32	25	well	well	ADV
geusb-8292	32	26	as	as	ADP
geusb-8292	32	27	auxiliary	auxiliary	ADJ
geusb-8292	32	28	hydrological	hydrological	ADJ
geusb-8292	32	29	information	information	NOUN
geusb-8292	32	30	,	,	PUNCT
geusb-8292	32	31	such	such	ADJ
geusb-8292	32	32	as	as	ADP
geusb-8292	32	33	groundwater	groundwater	NOUN
geusb-8292	32	34	conditions	condition	NOUN
geusb-8292	32	35	.	.	PUNCT
geusb-8292	33	1	in	in	ADP
geusb-8292	33	2	this	this	DET
geusb-8292	33	3	study	study	NOUN
geusb-8292	33	4	,	,	PUNCT
geusb-8292	33	5	we	we	PRON
geusb-8292	33	6	aim	aim	VERB
geusb-8292	33	7	to	to	PART
geusb-8292	33	8	(	(	PUNCT
geusb-8292	33	9	1	1	X
geusb-8292	33	10	)	)	PUNCT
geusb-8292	33	11	highlight	highlight	VERB
geusb-8292	33	12	the	the	DET
geusb-8292	33	13	value	value	NOUN
geusb-8292	33	14	of	of	ADP
geusb-8292	33	15	danish	danish	ADJ
geusb-8292	33	16	hydrological	hydrological	ADJ
geusb-8292	33	17	big	big	ADJ
geusb-8292	33	18	data	datum	NOUN
geusb-8292	33	19	for	for	ADP
geusb-8292	33	20	advancing	advance	VERB
geusb-8292	33	21	ml	ml	ADP
geusb-8292	33	22	research	research	NOUN
geusb-8292	33	23	at	at	ADP
geusb-8292	33	24	an	an	DET
geusb-8292	33	25	international	international	ADJ
geusb-8292	33	26	level	level	NOUN
geusb-8292	33	27	,	,	PUNCT
geusb-8292	33	28	(	(	PUNCT
geusb-8292	33	29	2	2	X
geusb-8292	33	30	)	)	PUNCT
geusb-8292	33	31	implement	implement	VERB
geusb-8292	33	32	a	a	DET
geusb-8292	33	33	state	state	NOUN
geusb-8292	33	34	-	-	PUNCT
geusb-8292	33	35	of	of	ADP
geusb-8292	33	36	-	-	PUNCT
geusb-8292	33	37	the	the	DET
geusb-8292	33	38	-	-	PUNCT
geusb-8292	33	39	art	art	NOUN
geusb-8292	33	40	lstm	lstm	NOUN
geusb-8292	33	41	to	to	PART
geusb-8292	33	42	model	model	VERB
geusb-8292	33	43	runoff	runoff	NOUN
geusb-8292	33	44	at	at	ADP
geusb-8292	33	45	the	the	DET
geusb-8292	33	46	national	national	ADJ
geusb-8292	33	47	scale	scale	NOUN
geusb-8292	33	48	of	of	ADP
geusb-8292	33	49	denmark	denmark	NOUN
geusb-8292	33	50	and	and	CCONJ
geusb-8292	33	51	(	(	PUNCT
geusb-8292	33	52	3	3	X
geusb-8292	33	53	)	)	PUNCT
geusb-8292	33	54	test	test	NOUN
geusb-8292	33	55	a	a	DET
geusb-8292	33	56	knowledge	knowledge	NOUN
geusb-8292	33	57	-	-	PUNCT
geusb-8292	33	58	guided	guide	VERB
geusb-8292	33	59	lstm	lstm	NOUN
geusb-8292	33	60	based	base	VERB
geusb-8292	33	61	upon	upon	SCONJ
geusb-8292	33	62	pre	pre	ADJ
geusb-8292	33	63	-	-	NOUN
geusb-8292	33	64	training	training	NOUN
geusb-8292	33	65	against	against	ADP
geusb-8292	33	66	simulated	simulated	ADJ
geusb-8292	33	67	runoff	runoff	NOUN
geusb-8292	33	68	obtained	obtain	VERB
geusb-8292	33	69	from	from	ADP
geusb-8292	33	70	a	a	DET
geusb-8292	33	71	pbm	pbm	NOUN
geusb-8292	33	72	.	.	PUNCT
geusb-8292	34	1	methods	method	NOUN
geusb-8292	34	2	data	datum	NOUN
geusb-8292	34	3	as	as	ADP
geusb-8292	34	4	in	in	ADP
geusb-8292	34	5	existing	exist	VERB
geusb-8292	34	6	camels	camel	NOUN
geusb-8292	34	7	data	datum	NOUN
geusb-8292	34	8	sets	set	NOUN
geusb-8292	34	9	,	,	PUNCT
geusb-8292	34	10	we	we	PRON
geusb-8292	34	11	curated	curate	VERB
geusb-8292	34	12	a	a	DET
geusb-8292	34	13	data	data	NOUN
geusb-8292	34	14	set	set	VERB
geusb-8292	34	15	comprising	comprise	VERB
geusb-8292	34	16	observed	observe	VERB
geusb-8292	34	17	runoff	runoff	NOUN
geusb-8292	34	18	as	as	ADV
geusb-8292	34	19	well	well	ADV
geusb-8292	34	20	as	as	ADP
geusb-8292	34	21	dynamic	dynamic	ADJ
geusb-8292	34	22	and	and	CCONJ
geusb-8292	34	23	static	static	ADJ
geusb-8292	34	24	attributes	attribute	NOUN
geusb-8292	34	25	for	for	ADP
geusb-8292	34	26	301	301	NUM
geusb-8292	34	27	danish	danish	ADJ
geusb-8292	34	28	catchments	catchment	NOUN
geusb-8292	34	29	(	(	PUNCT
geusb-8292	34	30	fig	fig	NOUN
geusb-8292	34	31	.	.	PUNCT
geusb-8292	34	32	  	  	SPACE
geusb-8292	34	33	1	1	NUM
geusb-8292	34	34	)	)	PUNCT
geusb-8292	34	35	.	.	PUNCT
geusb-8292	35	1	the	the	DET
geusb-8292	35	2	catchments	catchment	NOUN
geusb-8292	35	3	vary	vary	VERB
geusb-8292	35	4	in	in	ADP
geusb-8292	35	5	size	size	NOUN
geusb-8292	35	6	between	between	ADP
geusb-8292	35	7	10	10	NUM
geusb-8292	35	8	km2	km2	NOUN
geusb-8292	35	9	and	and	CCONJ
geusb-8292	35	10	2574	2574	NUM
geusb-8292	35	11	km2	km2	NOUN
geusb-8292	35	12	with	with	ADP
geusb-8292	35	13	an	an	DET
geusb-8292	35	14	average	average	NOUN
geusb-8292	35	15	of	of	ADP
geusb-8292	35	16	133	133	NUM
geusb-8292	35	17	km2	km2	NOUN
geusb-8292	35	18	.	.	PUNCT
geusb-8292	36	1	the	the	DET
geusb-8292	36	2	dynamic	dynamic	ADJ
geusb-8292	36	3	variables	variable	NOUN
geusb-8292	36	4	cover	cover	VERB
geusb-8292	36	5	a	a	DET
geusb-8292	36	6	period	period	NOUN
geusb-8292	36	7	of	of	ADP
geusb-8292	36	8	21	21	NUM
geusb-8292	36	9	years	year	NOUN
geusb-8292	36	10	(	(	PUNCT
geusb-8292	36	11	1990–2011	1990–2011	NUM
geusb-8292	36	12	)	)	PUNCT
geusb-8292	36	13	at	at	ADP
geusb-8292	36	14	daily	daily	ADJ
geusb-8292	36	15	timesteps	timestep	NOUN
geusb-8292	36	16	and	and	CCONJ
geusb-8292	36	17	comprise	comprise	VERB
geusb-8292	36	18	observed	observed	ADJ
geusb-8292	36	19	runoff	runoff	NOUN
geusb-8292	36	20	,	,	PUNCT
geusb-8292	36	21	simulated	simulate	VERB
geusb-8292	36	22	runoff	runoff	NOUN
geusb-8292	36	23	(	(	PUNCT
geusb-8292	36	24	dk	dk	NOUN
geusb-8292	36	25	-	-	NOUN
geusb-8292	36	26	model	model	NOUN
geusb-8292	36	27	)	)	PUNCT
geusb-8292	36	28	,	,	PUNCT
geusb-8292	36	29	air	air	NOUN
geusb-8292	36	30	temperature	temperature	NOUN
geusb-8292	36	31	,	,	PUNCT
geusb-8292	36	32	potential	potential	ADJ
geusb-8292	36	33	evapotranspiration	evapotranspiration	NOUN
geusb-8292	36	34	and	and	CCONJ
geusb-8292	36	35	precipitation	precipitation	NOUN
geusb-8292	36	36	(	(	PUNCT
geusb-8292	36	37	fig	fig	NOUN
geusb-8292	36	38	.	.	PUNCT
geusb-8292	36	39	2	2	NUM
geusb-8292	36	40	)	)	PUNCT
geusb-8292	36	41	.	.	PUNCT
geusb-8292	37	1	the	the	DET
geusb-8292	37	2	three	three	NUM
geusb-8292	37	3	meteorological	meteorological	ADJ
geusb-8292	37	4	variables	variable	NOUN
geusb-8292	37	5	were	be	AUX
geusb-8292	37	6	derived	derive	VERB
geusb-8292	37	7	from	from	ADP
geusb-8292	37	8	gridded	gridde	VERB
geusb-8292	37	9	data	datum	NOUN
geusb-8292	37	10	provided	provide	VERB
geusb-8292	37	11	by	by	ADP
geusb-8292	37	12	the	the	DET
geusb-8292	37	13	danish	danish	PROPN
geusb-8292	37	14	meteorological	meteorological	PROPN
geusb-8292	37	15	institute	institute	PROPN
geusb-8292	37	16	and	and	CCONJ
geusb-8292	37	17	represent	represent	VERB
geusb-8292	37	18	daily	daily	ADV
geusb-8292	37	19	-	-	PUNCT
geusb-8292	37	20	averaged	average	VERB
geusb-8292	37	21	conditions	condition	NOUN
geusb-8292	37	22	for	for	ADP
geusb-8292	37	23	the	the	DET
geusb-8292	37	24	entire	entire	ADJ
geusb-8292	37	25	catchment	catchment	NOUN
geusb-8292	37	26	(	(	PUNCT
geusb-8292	37	27	scharling	scharling	NOUN
geusb-8292	37	28	1999a	1999a	NUM
geusb-8292	37	29	,	,	PUNCT
geusb-8292	37	30	1999b	1999b	NUM
geusb-8292	37	31	)	)	PUNCT
geusb-8292	37	32	.	.	PUNCT
geusb-8292	38	1	a	a	DET
geusb-8292	38	2	complete	complete	ADJ
geusb-8292	38	3	timeseries	timeserie	NOUN
geusb-8292	38	4	of	of	ADP
geusb-8292	38	5	21	21	NUM
geusb-8292	38	6	years	year	NOUN
geusb-8292	38	7	of	of	ADP
geusb-8292	38	8	daily	daily	ADJ
geusb-8292	38	9	observed	observed	ADJ
geusb-8292	38	10	runoff	runoff	NOUN
geusb-8292	38	11	were	be	AUX
geusb-8292	38	12	available	available	ADJ
geusb-8292	38	13	for	for	ADP
geusb-8292	38	14	51	51	NUM
geusb-8292	38	15	%	%	NOUN
geusb-8292	38	16	of	of	ADP
geusb-8292	38	17	the	the	DET
geusb-8292	38	18	catchments	catchment	NOUN
geusb-8292	38	19	,	,	PUNCT
geusb-8292	38	20	with	with	ADP
geusb-8292	38	21	77	77	NUM
geusb-8292	38	22	%	%	NOUN
geusb-8292	38	23	of	of	ADP
geusb-8292	38	24	the	the	DET
geusb-8292	38	25	catchments	catchment	NOUN
geusb-8292	38	26	having	have	VERB
geusb-8292	38	27	at	at	ADV
geusb-8292	38	28	least	least	ADV
geusb-8292	38	29	an	an	DET
geusb-8292	38	30	80	80	NUM
geusb-8292	38	31	%	%	NOUN
geusb-8292	38	32	coverage	coverage	NOUN
geusb-8292	38	33	.	.	PUNCT
geusb-8292	39	1	the	the	DET
geusb-8292	39	2	runoff	runoff	NOUN
geusb-8292	39	3	was	be	AUX
geusb-8292	39	4	normalised	normalise	VERB
geusb-8292	39	5	by	by	ADP
geusb-8292	39	6	the	the	DET
geusb-8292	39	7	catchment	catchment	NOUN
geusb-8292	39	8	size	size	NOUN
geusb-8292	39	9	to	to	ADP
geusb-8292	39	10	mm/	mm/	PROPN
geusb-8292	39	11	day	day	NOUN
geusb-8292	39	12	to	to	PART
geusb-8292	39	13	give	give	VERB
geusb-8292	39	14	equal	equal	ADJ
geusb-8292	39	15	weight	weight	NOUN
geusb-8292	39	16	to	to	ADP
geusb-8292	39	17	the	the	DET
geusb-8292	39	18	catchments	catchment	NOUN
geusb-8292	39	19	during	during	ADP
geusb-8292	39	20	training	training	NOUN
geusb-8292	39	21	,	,	PUNCT
geusb-8292	39	22	independent	independent	ADJ
geusb-8292	39	23	of	of	ADP
geusb-8292	39	24	their	their	PRON
geusb-8292	39	25	size	size	NOUN
geusb-8292	39	26	.	.	PUNCT
geusb-8292	40	1	in	in	ADP
geusb-8292	40	2	total	total	ADJ
geusb-8292	40	3	,	,	PUNCT
geusb-8292	40	4	17	17	NUM
geusb-8292	40	5	static	static	ADJ
geusb-8292	40	6	catchment	catchment	NOUN
geusb-8292	40	7	attributes	attribute	NOUN
geusb-8292	40	8	were	be	AUX
geusb-8292	40	9	compiled	compile	VERB
geusb-8292	40	10	.	.	PUNCT
geusb-8292	41	1	eleven	eleven	NUM
geusb-8292	41	2	of	of	ADP
geusb-8292	41	3	which	which	PRON
geusb-8292	41	4	were	be	AUX
geusb-8292	41	5	calculated	calculate	VERB
geusb-8292	41	6	as	as	ADP
geusb-8292	41	7	catchment	catchment	NOUN
geusb-8292	41	8	averages	average	NOUN
geusb-8292	41	9	:	:	PUNCT
geusb-8292	41	10	precipitation	precipitation	NOUN
geusb-8292	41	11	,	,	PUNCT
geusb-8292	41	12	potential	potential	ADJ
geusb-8292	41	13	evapotranspiration	evapotranspiration	NOUN
geusb-8292	41	14	,	,	PUNCT
geusb-8292	41	15	air	air	NOUN
geusb-8292	41	16	temperature	temperature	NOUN
geusb-8292	41	17	,	,	PUNCT
geusb-8292	41	18	slope	slope	NOUN
geusb-8292	41	19	,	,	PUNCT
geusb-8292	41	20	topographic	topographic	PROPN
geusb-8292	41	21	wetness	wetness	PROPN
geusb-8292	41	22	index	index	PROPN
geusb-8292	41	23	,	,	PUNCT
geusb-8292	41	24	clay	clay	NOUN
geusb-8292	41	25	fraction	fraction	NOUN
geusb-8292	41	26	,	,	PUNCT
geusb-8292	41	27	annual	annual	ADJ
geusb-8292	41	28	,	,	PUNCT
geusb-8292	41	29	summer	summer	NOUN
geusb-8292	41	30	and	and	CCONJ
geusb-8292	41	31	winter	winter	NOUN
geusb-8292	41	32	-	-	PUNCT
geusb-8292	41	33	simulated	simulate	VERB
geusb-8292	41	34	water	water	NOUN
geusb-8292	41	35	table	table	NOUN
geusb-8292	41	36	depth	depth	NOUN
geusb-8292	41	37	(	(	PUNCT
geusb-8292	41	38	dk	dk	NOUN
geusb-8292	41	39	-	-	NOUN
geusb-8292	41	40	model	model	NOUN
geusb-8292	41	41	)	)	PUNCT
geusb-8292	41	42	,	,	PUNCT
geusb-8292	41	43	exceedance	exceedance	NOUN
geusb-8292	41	44	probability	probability	NOUN
geusb-8292	41	45	of	of	ADP
geusb-8292	41	46	a	a	DET
geusb-8292	41	47	simulated	simulate	VERB
geusb-8292	41	48	water	water	NOUN
geusb-8292	41	49	-	-	PUNCT
geusb-8292	41	50	table	table	NOUN
geusb-8292	41	51	depth	depth	NOUN
geusb-8292	41	52	less	less	ADJ
geusb-8292	41	53	than	than	ADP
geusb-8292	41	54	1	1	NUM
geusb-8292	41	55	m	m	VERB
geusb-8292	41	56	(	(	PUNCT
geusb-8292	41	57	dk	dk	NOUN
geusb-8292	41	58	-	-	NOUN
geusb-8292	41	59	model	model	NOUN
geusb-8292	41	60	)	)	PUNCT
geusb-8292	41	61	and	and	CCONJ
geusb-8292	41	62	the	the	DET
geusb-8292	41	63	thickness	thickness	NOUN
geusb-8292	41	64	of	of	ADP
geusb-8292	41	65	the	the	DET
geusb-8292	41	66	surficial	surficial	ADJ
geusb-8292	41	67	clay	clay	NOUN
geusb-8292	41	68	layer	layer	NOUN
geusb-8292	41	69	.	.	PUNCT
geusb-8292	42	1	five	five	NUM
geusb-8292	42	2	land	land	NOUN
geusb-8292	42	3	-	-	PUNCT
geusb-8292	42	4	use	use	NOUN
geusb-8292	42	5	classes	class	NOUN
geusb-8292	42	6	were	be	AUX
geusb-8292	42	7	expressed	express	VERB
geusb-8292	42	8	as	as	ADP
geusb-8292	42	9	percentages	percentage	NOUN
geusb-8292	42	10	:	:	PUNCT
geusb-8292	42	11	forest	forest	NOUN
geusb-8292	42	12	,	,	PUNCT
geusb-8292	42	13	wetland	wetland	PROPN
geusb-8292	42	14	,	,	PUNCT
geusb-8292	42	15	lake	lake	NOUN
geusb-8292	42	16	,	,	PUNCT
geusb-8292	42	17	agriculture	agriculture	NOUN
geusb-8292	42	18	and	and	CCONJ
geusb-8292	42	19	urban	urban	ADJ
geusb-8292	42	20	.	.	PUNCT
geusb-8292	43	1	finally	finally	ADV
geusb-8292	43	2	,	,	PUNCT
geusb-8292	43	3	the	the	DET
geusb-8292	43	4	catchment	catchment	NOUN
geusb-8292	43	5	area	area	NOUN
geusb-8292	43	6	was	be	AUX
geusb-8292	43	7	included	include	VERB
geusb-8292	43	8	as	as	ADV
geusb-8292	43	9	well	well	ADV
geusb-8292	43	10	.	.	PUNCT
geusb-8292	44	1	all	all	DET
geusb-8292	44	2	data	datum	NOUN
geusb-8292	44	3	are	be	AUX
geusb-8292	44	4	available	available	ADJ
geusb-8292	44	5	at	at	ADP
geusb-8292	44	6	https://doi.org/10.22008/fk2/ycqxtr	https://doi.org/10.22008/fk2/ycqxtr	PROPN
geusb-8292	44	7	.	.	PUNCT
geusb-8292	45	1	long	long	ADJ
geusb-8292	45	2	short	short	ADJ
geusb-8292	45	3	-	-	PUNCT
geusb-8292	45	4	term	term	NOUN
geusb-8292	45	5	memory	memory	NOUN
geusb-8292	45	6	the	the	DET
geusb-8292	45	7	lstm	lstm	ADJ
geusb-8292	45	8	network	network	NOUN
geusb-8292	45	9	architecture	architecture	NOUN
geusb-8292	45	10	is	be	AUX
geusb-8292	45	11	a	a	DET
geusb-8292	45	12	special	special	ADJ
geusb-8292	45	13	type	type	NOUN
geusb-8292	45	14	of	of	ADP
geusb-8292	45	15	recurrent	recurrent	ADJ
geusb-8292	45	16	neural	neural	ADJ
geusb-8292	45	17	network	network	NOUN
geusb-8292	45	18	,	,	PUNCT
geusb-8292	45	19	designed	design	VERB
geusb-8292	45	20	to	to	PART
geusb-8292	45	21	store	store	VERB
geusb-8292	45	22	and	and	CCONJ
geusb-8292	45	23	regulate	regulate	VERB
geusb-8292	45	24	information	information	NOUN
geusb-8292	45	25	over	over	ADP
geusb-8292	45	26	time	time	NOUN
geusb-8292	45	27	,	,	PUNCT
geusb-8292	45	28	which	which	PRON
geusb-8292	45	29	makes	make	VERB
geusb-8292	45	30	lstms	lstms	ADJ
geusb-8292	45	31	well	well	ADV
geusb-8292	45	32	suited	suited	ADJ
geusb-8292	45	33	to	to	PART
geusb-8292	45	34	learn	learn	VERB
geusb-8292	45	35	long	long	ADJ
geusb-8292	45	36	-	-	PUNCT
geusb-8292	45	37	term	term	NOUN
geusb-8292	45	38	dependencies	dependency	NOUN
geusb-8292	45	39	and	and	CCONJ
geusb-8292	45	40	memory	memory	NOUN
geusb-8292	45	41	effects	effect	NOUN
geusb-8292	45	42	(	(	PUNCT
geusb-8292	45	43	hochreiter	hochreiter	PROPN
geusb-8292	45	44	&	&	CCONJ
geusb-8292	45	45	schmidhuber	schmidhuber	PROPN
geusb-8292	45	46	1997	1997	NUM
geusb-8292	45	47	)	)	PUNCT
geusb-8292	45	48	.	.	PUNCT
geusb-8292	46	1	the	the	DET
geusb-8292	46	2	lstm	lstm	NOUN
geusb-8292	46	3	is	be	AUX
geusb-8292	46	4	described	describe	VERB
geusb-8292	46	5	in	in	ADP
geusb-8292	46	6	full	full	ADJ
geusb-8292	46	7	elsewhere	elsewhere	ADV
geusb-8292	46	8	(	(	PUNCT
geusb-8292	46	9	kratzert	kratzert	NOUN
geusb-8292	46	10	et	et	PROPN
geusb-8292	46	11	al	al	PROPN
geusb-8292	46	12	.	.	PROPN
geusb-8292	46	13	2018	2018	NUM
geusb-8292	46	14	;	;	PUNCT
geusb-8292	46	15	shen	shen	PROPN
geusb-8292	46	16	2018	2018	NUM
geusb-8292	46	17	)	)	PUNCT
geusb-8292	46	18	.	.	PUNCT
geusb-8292	47	1	similar	similar	ADJ
geusb-8292	47	2	to	to	ADP
geusb-8292	47	3	traditional	traditional	ADJ
geusb-8292	47	4	hydrological	hydrological	ADJ
geusb-8292	47	5	models	model	NOUN
geusb-8292	47	6	,	,	PUNCT
geusb-8292	47	7	the	the	DET
geusb-8292	47	8	lstm	lstm	NOUN
geusb-8292	47	9	processes	process	VERB
geusb-8292	47	10	input	input	NOUN
geusb-8292	47	11	data	datum	NOUN
geusb-8292	47	12	time	time	NOUN
geusb-8292	47	13	step	step	NOUN
geusb-8292	47	14	after	after	ADP
geusb-8292	47	15	time	time	NOUN
geusb-8292	47	16	step	step	NOUN
geusb-8292	47	17	.	.	PUNCT
geusb-8292	48	1	runoff	runoff	NOUN
geusb-8292	48	2	on	on	ADP
geusb-8292	48	3	a	a	DET
geusb-8292	48	4	specific	specific	ADJ
geusb-8292	48	5	day	day	NOUN
geusb-8292	48	6	is	be	AUX
geusb-8292	48	7	simulated	simulate	VERB
geusb-8292	48	8	based	base	VERB
geusb-8292	48	9	on	on	ADP
geusb-8292	48	10	the	the	DET
geusb-8292	48	11	timeseries	timeserie	NOUN
geusb-8292	48	12	of	of	ADP
geusb-8292	48	13	length	length	NOUN
geusb-8292	48	14	n	n	PROPN
geusb-8292	48	15	of	of	ADP
geusb-8292	48	16	the	the	DET
geusb-8292	48	17	preceding	precede	VERB
geusb-8292	48	18	n	n	PRON
geusb-8292	48	19	days	day	NOUN
geusb-8292	48	20	of	of	ADP
geusb-8292	48	21	meteorological	meteorological	ADJ
geusb-8292	48	22	data	datum	NOUN
geusb-8292	48	23	.	.	PUNCT
geusb-8292	49	1	kratzert	kratzert	NOUN
geusb-8292	49	2	at	at	ADP
geusb-8292	49	3	 	 	SPACE
geusb-8292	49	4	al	al	PROPN
geusb-8292	49	5	.	.	PROPN
geusb-8292	50	1	(	(	PUNCT
geusb-8292	50	2	2019b	2019b	NUM
geusb-8292	50	3	)	)	PUNCT
geusb-8292	50	4	developed	develop	VERB
geusb-8292	50	5	the	the	DET
geusb-8292	50	6	entity	entity	NOUN
geusb-8292	50	7	-	-	PUNCT
geusb-8292	50	8	aware	aware	ADJ
geusb-8292	50	9	lstm	lstm	NOUN
geusb-8292	50	10	,	,	PUNCT
geusb-8292	50	11	which	which	PRON
geusb-8292	50	12	is	be	AUX
geusb-8292	50	13	an	an	DET
geusb-8292	50	14	adaptation	adaptation	NOUN
geusb-8292	50	15	of	of	ADP
geusb-8292	50	16	the	the	DET
geusb-8292	50	17	standard	standard	ADJ
geusb-8292	50	18	lstm	lstm	NOUN
geusb-8292	50	19	capable	capable	ADJ
geusb-8292	50	20	of	of	ADP
geusb-8292	50	21	learning	learn	VERB
geusb-8292	50	22	catchment	catchment	NOUN
geusb-8292	50	23	similarities	similarity	NOUN
geusb-8292	50	24	based	base	VERB
geusb-8292	50	25	on	on	ADP
geusb-8292	50	26	the	the	DET
geusb-8292	50	27	static	static	ADJ
geusb-8292	50	28	attributes	attribute	NOUN
geusb-8292	50	29	,	,	PUNCT
geusb-8292	50	30	which	which	PRON
geusb-8292	50	31	are	be	AUX
geusb-8292	50	32	treated	treat	VERB
geusb-8292	50	33	in	in	ADP
geusb-8292	50	34	a	a	DET
geusb-8292	50	35	separate	separate	ADJ
geusb-8292	50	36	embedding	embed	VERB
geusb-8292	50	37	layer	layer	NOUN
geusb-8292	50	38	.	.	PUNCT
geusb-8292	51	1	in	in	ADP
geusb-8292	51	2	this	this	DET
geusb-8292	51	3	study	study	NOUN
geusb-8292	51	4	,	,	PUNCT
geusb-8292	51	5	we	we	PRON
geusb-8292	51	6	applied	apply	VERB
geusb-8292	51	7	the	the	DET
geusb-8292	51	8	proposed	propose	VERB
geusb-8292	51	9	entity	entity	NOUN
geusb-8292	51	10	-	-	PUNCT
geusb-8292	51	11	aware	aware	ADJ
geusb-8292	51	12	lstm	lstm	NOUN
geusb-8292	51	13	,	,	PUNCT
geusb-8292	51	14	referred	refer	VERB
geusb-8292	51	15	to	to	PART
geusb-8292	51	16	simply	simply	ADV
geusb-8292	51	17	as	as	SCONJ
geusb-8292	51	18	lstm	lstm	PROPN
geusb-8292	51	19	hereafter	hereafter	ADV
geusb-8292	51	20	.	.	PUNCT
geusb-8292	52	1	we	we	PRON
geusb-8292	52	2	used	use	VERB
geusb-8292	52	3	the	the	DET
geusb-8292	52	4	fig	fig	NOUN
geusb-8292	52	5	.	.	PUNCT
geusb-8292	53	1	1	1	NUM
geusb-8292	53	2	 	 	SPACE
geusb-8292	53	3	map	map	NOUN
geusb-8292	53	4	of	of	ADP
geusb-8292	53	5	denmark	denmark	NOUN
geusb-8292	53	6	showing	show	VERB
geusb-8292	53	7	the	the	DET
geusb-8292	53	8	301	301	NUM
geusb-8292	53	9	catchments	catchment	NOUN
geusb-8292	53	10	used	use	VERB
geusb-8292	53	11	in	in	ADP
geusb-8292	53	12	this	this	DET
geusb-8292	53	13	study	study	NOUN
geusb-8292	53	14	.	.	PUNCT
geusb-8292	54	1	60	60	NUM
geusb-8292	54	2	catchments	catchment	NOUN
geusb-8292	54	3	were	be	AUX
geusb-8292	54	4	randomly	randomly	ADV
geusb-8292	54	5	sampled	sample	VERB
geusb-8292	54	6	for	for	ADP
geusb-8292	54	7	the	the	DET
geusb-8292	54	8	spatio	spatio	PROPN
geusb-8292	54	9	-	-	PUNCT
geusb-8292	54	10	temporal	temporal	ADJ
geusb-8292	54	11	split	split	NOUN
geusb-8292	54	12	-	-	PUNCT
geusb-8292	54	13	sample	sample	NOUN
geusb-8292	54	14	experiment	experiment	NOUN
geusb-8292	54	15	.	.	PUNCT
geusb-8292	54	16	!	!	PUNCT
geusb-8292	54	17	!	!	PUNCT
geusb-8292	54	18	!	!	PUNCT
geusb-8292	54	19	!	!	PUNCT
geusb-8292	54	20	!	!	PUNCT
geusb-8292	54	21	!	!	PUNCT
geusb-8292	54	22	!	!	PUNCT
geusb-8292	54	23	!	!	PUNCT
geusb-8292	54	24	!	!	PUNCT
geusb-8292	54	25	!	!	PUNCT
geusb-8292	54	26	!	!	PUNCT
geusb-8292	54	27	!	!	PUNCT
geusb-8292	54	28	!	!	PUNCT
geusb-8292	54	29	!	!	PUNCT
geusb-8292	54	30	!	!	PUNCT
geusb-8292	54	31	!	!	PUNCT
geusb-8292	54	32	!	!	PUNCT
geusb-8292	54	33	!	!	PUNCT
geusb-8292	54	34	!	!	PUNCT
geusb-8292	54	35	!	!	PUNCT
geusb-8292	54	36	!	!	PUNCT
geusb-8292	54	37	!	!	PUNCT
geusb-8292	54	38	!	!	PUNCT
geusb-8292	54	39	!	!	PUNCT
geusb-8292	54	40	!	!	PUNCT
geusb-8292	54	41	!	!	PUNCT
geusb-8292	54	42	!	!	PUNCT
geusb-8292	54	43	!	!	PUNCT
geusb-8292	54	44	!	!	PUNCT
geusb-8292	54	45	!	!	PUNCT
geusb-8292	54	46	!	!	PUNCT
geusb-8292	54	47	!	!	PUNCT
geusb-8292	54	48	!	!	PUNCT
geusb-8292	54	49	!	!	PUNCT
geusb-8292	54	50	!	!	PUNCT
geusb-8292	54	51	!	!	PUNCT
geusb-8292	54	52	!	!	PUNCT
geusb-8292	54	53	!	!	PUNCT
geusb-8292	54	54	!	!	PUNCT
geusb-8292	54	55	!	!	PUNCT
geusb-8292	54	56	!	!	PUNCT
geusb-8292	54	57	!	!	PUNCT
geusb-8292	54	58	!	!	PUNCT
geusb-8292	54	59	!	!	PUNCT
geusb-8292	54	60	!	!	PUNCT
geusb-8292	54	61	!	!	PUNCT
geusb-8292	54	62	!	!	PUNCT
geusb-8292	54	63	!	!	PUNCT
geusb-8292	54	64	!	!	PUNCT
geusb-8292	54	65	!	!	PUNCT
geusb-8292	54	66	!	!	PUNCT
geusb-8292	54	67	!	!	PUNCT
geusb-8292	54	68	!	!	PUNCT
geusb-8292	54	69	!	!	PUNCT
geusb-8292	54	70	!	!	PUNCT
geusb-8292	54	71	!	!	PUNCT
geusb-8292	54	72	!	!	PUNCT
geusb-8292	54	73	!	!	PUNCT
geusb-8292	54	74	!	!	PUNCT
geusb-8292	54	75	!	!	PUNCT
geusb-8292	54	76	!	!	PUNCT
geusb-8292	54	77	!	!	PUNCT
geusb-8292	54	78	!	!	PUNCT
geusb-8292	54	79	!	!	PUNCT
geusb-8292	54	80	!	!	PUNCT
geusb-8292	54	81	!	!	PUNCT
geusb-8292	54	82	!	!	PUNCT
geusb-8292	54	83	!	!	PUNCT
geusb-8292	54	84	!	!	PUNCT
geusb-8292	54	85	!	!	PUNCT
geusb-8292	54	86	!	!	PUNCT
geusb-8292	54	87	!	!	PUNCT
geusb-8292	54	88	!	!	PUNCT
geusb-8292	54	89	!	!	PUNCT
geusb-8292	54	90	!	!	PUNCT
geusb-8292	54	91	!	!	PUNCT
geusb-8292	54	92	!	!	PUNCT
geusb-8292	54	93	!	!	PUNCT
geusb-8292	54	94	!	!	PUNCT
geusb-8292	54	95	!	!	PUNCT
geusb-8292	54	96	!	!	PUNCT
geusb-8292	54	97	!	!	PUNCT
geusb-8292	54	98	!	!	PUNCT
geusb-8292	54	99	!	!	PUNCT
geusb-8292	54	100	!	!	PUNCT
geusb-8292	54	101	!	!	PUNCT
geusb-8292	54	102	!	!	PUNCT
geusb-8292	54	103	!	!	PUNCT
geusb-8292	54	104	!	!	PUNCT
geusb-8292	54	105	!	!	PUNCT
geusb-8292	54	106	!	!	PUNCT
geusb-8292	54	107	!	!	PUNCT
geusb-8292	54	108	!	!	PUNCT
geusb-8292	54	109	!	!	PUNCT
geusb-8292	54	110	!	!	PUNCT
geusb-8292	54	111	!	!	PUNCT
geusb-8292	54	112	!	!	PUNCT
geusb-8292	54	113	!	!	PUNCT
geusb-8292	54	114	!	!	PUNCT
geusb-8292	54	115	!	!	PUNCT
geusb-8292	54	116	!	!	PUNCT
geusb-8292	54	117	!	!	PUNCT
geusb-8292	54	118	!	!	PUNCT
geusb-8292	54	119	!	!	PUNCT
geusb-8292	54	120	!	!	PUNCT
geusb-8292	54	121	!	!	PUNCT
geusb-8292	54	122	!	!	PUNCT
geusb-8292	54	123	!	!	PUNCT
geusb-8292	54	124	!	!	PUNCT
geusb-8292	54	125	!	!	PUNCT
geusb-8292	54	126	!	!	PUNCT
geusb-8292	54	127	!	!	PUNCT
geusb-8292	54	128	!	!	PUNCT
geusb-8292	54	129	!	!	PUNCT
geusb-8292	54	130	!	!	PUNCT
geusb-8292	54	131	!	!	PUNCT
geusb-8292	54	132	!	!	PUNCT
geusb-8292	54	133	!	!	PUNCT
geusb-8292	54	134	!	!	PUNCT
geusb-8292	54	135	!	!	PUNCT
geusb-8292	54	136	!	!	PUNCT
geusb-8292	54	137	!	!	PUNCT
geusb-8292	54	138	!	!	PUNCT
geusb-8292	54	139	!	!	PUNCT
geusb-8292	54	140	!	!	PUNCT
geusb-8292	54	141	!	!	PUNCT
geusb-8292	54	142	!	!	PUNCT
geusb-8292	54	143	!	!	PUNCT
geusb-8292	54	144	!	!	PUNCT
geusb-8292	54	145	!	!	PUNCT
geusb-8292	54	146	!	!	PUNCT
geusb-8292	54	147	!	!	PUNCT
geusb-8292	54	148	!	!	PUNCT
geusb-8292	54	149	!	!	PUNCT
geusb-8292	54	150	!	!	PUNCT
geusb-8292	54	151	!	!	PUNCT
geusb-8292	54	152	!	!	PUNCT
geusb-8292	54	153	!	!	PUNCT
geusb-8292	54	154	!	!	PUNCT
geusb-8292	54	155	!	!	PUNCT
geusb-8292	54	156	!	!	PUNCT
geusb-8292	54	157	!	!	PUNCT
geusb-8292	54	158	!	!	PUNCT
geusb-8292	54	159	!	!	PUNCT
geusb-8292	54	160	!	!	PUNCT
geusb-8292	54	161	!	!	PUNCT
geusb-8292	54	162	!	!	PUNCT
geusb-8292	54	163	!	!	PUNCT
geusb-8292	54	164	!	!	PUNCT
geusb-8292	54	165	!	!	PUNCT
geusb-8292	54	166	!	!	PUNCT
geusb-8292	54	167	!	!	PUNCT
geusb-8292	54	168	!	!	PUNCT
geusb-8292	54	169	!	!	PUNCT
geusb-8292	54	170	!	!	PUNCT
geusb-8292	54	171	!	!	PUNCT
geusb-8292	54	172	!	!	PUNCT
geusb-8292	54	173	!	!	PUNCT
geusb-8292	54	174	!	!	PUNCT
geusb-8292	54	175	!	!	PUNCT
geusb-8292	54	176	!	!	PUNCT
geusb-8292	54	177	!	!	PUNCT
geusb-8292	54	178	!	!	PUNCT
geusb-8292	54	179	!	!	PUNCT
geusb-8292	54	180	!	!	PUNCT
geusb-8292	54	181	!	!	PUNCT
geusb-8292	54	182	!	!	PUNCT
geusb-8292	54	183	!	!	PUNCT
geusb-8292	54	184	!	!	PUNCT
geusb-8292	54	185	!	!	PUNCT
geusb-8292	54	186	!	!	PUNCT
geusb-8292	54	187	!	!	PUNCT
geusb-8292	54	188	!	!	PUNCT
geusb-8292	54	189	!	!	PUNCT
geusb-8292	54	190	!	!	PUNCT
geusb-8292	54	191	!	!	PUNCT
geusb-8292	54	192	!	!	PUNCT
geusb-8292	54	193	!	!	PUNCT
geusb-8292	54	194	!	!	PUNCT
geusb-8292	54	195	!	!	PUNCT
geusb-8292	54	196	!	!	PUNCT
geusb-8292	54	197	!	!	PUNCT
geusb-8292	54	198	!	!	PUNCT
geusb-8292	54	199	!	!	PUNCT
geusb-8292	54	200	!	!	PUNCT
geusb-8292	54	201	!	!	PUNCT
geusb-8292	54	202	!	!	PUNCT
geusb-8292	54	203	!	!	PUNCT
geusb-8292	54	204	!	!	PUNCT
geusb-8292	54	205	!	!	PUNCT
geusb-8292	54	206	!	!	PUNCT
geusb-8292	54	207	!	!	PUNCT
geusb-8292	54	208	!	!	PUNCT
geusb-8292	54	209	!	!	PUNCT
geusb-8292	54	210	!	!	PUNCT
geusb-8292	54	211	!	!	PUNCT
geusb-8292	54	212	!	!	PUNCT
geusb-8292	54	213	!	!	PUNCT
geusb-8292	54	214	!	!	PUNCT
geusb-8292	54	215	!	!	PUNCT
geusb-8292	54	216	!	!	PUNCT
geusb-8292	54	217	!	!	PUNCT
geusb-8292	54	218	!	!	PUNCT
geusb-8292	54	219	!	!	PUNCT
geusb-8292	54	220	!	!	PUNCT
geusb-8292	54	221	!	!	PUNCT
geusb-8292	54	222	!	!	PUNCT
geusb-8292	54	223	!	!	PUNCT
geusb-8292	54	224	!	!	PUNCT
geusb-8292	54	225	!	!	PUNCT
geusb-8292	54	226	!	!	PUNCT
geusb-8292	54	227	!	!	PUNCT
geusb-8292	54	228	!	!	PUNCT
geusb-8292	54	229	!	!	PUNCT
geusb-8292	54	230	!	!	PUNCT
geusb-8292	54	231	!	!	PUNCT
geusb-8292	54	232	!	!	PUNCT
geusb-8292	54	233	!	!	PUNCT
geusb-8292	54	234	!	!	PUNCT
geusb-8292	54	235	!	!	PUNCT
geusb-8292	54	236	!	!	PUNCT
geusb-8292	54	237	!	!	PUNCT
geusb-8292	54	238	!	!	PUNCT
geusb-8292	54	239	!	!	PUNCT
geusb-8292	54	240	!	!	PUNCT
geusb-8292	54	241	!	!	PUNCT
geusb-8292	54	242	!	!	PUNCT
geusb-8292	54	243	!	!	PUNCT
geusb-8292	54	244	!	!	PUNCT
geusb-8292	54	245	!	!	PUNCT
geusb-8292	54	246	!	!	PUNCT
geusb-8292	54	247	!	!	PUNCT
geusb-8292	54	248	!	!	PUNCT
geusb-8292	54	249	!	!	PUNCT
geusb-8292	54	250	!	!	PUNCT
geusb-8292	54	251	!	!	PUNCT
geusb-8292	54	252	!	!	PUNCT
geusb-8292	54	253	!	!	PUNCT
geusb-8292	54	254	!	!	PUNCT
geusb-8292	54	255	!	!	PUNCT
geusb-8292	54	256	!	!	PUNCT
geusb-8292	54	257	!	!	PUNCT
geusb-8292	54	258	!	!	PUNCT
geusb-8292	54	259	!	!	PUNCT
geusb-8292	54	260	!	!	PUNCT
geusb-8292	54	261	!	!	PUNCT
geusb-8292	54	262	!	!	PUNCT
geusb-8292	54	263	!	!	PUNCT
geusb-8292	54	264	!	!	PUNCT
geusb-8292	54	265	!	!	PUNCT
geusb-8292	54	266	!	!	PUNCT
geusb-8292	54	267	!	!	PUNCT
geusb-8292	54	268	!	!	PUNCT
geusb-8292	54	269	!	!	PUNCT
geusb-8292	54	270	!	!	PUNCT
geusb-8292	54	271	!	!	PUNCT
geusb-8292	54	272	!	!	PUNCT
geusb-8292	54	273	!	!	PUNCT
geusb-8292	54	274	!	!	PUNCT
geusb-8292	54	275	!	!	PUNCT
geusb-8292	54	276	!	!	PUNCT
geusb-8292	54	277	!	!	PUNCT
geusb-8292	54	278	!	!	PUNCT
geusb-8292	54	279	!	!	PUNCT
geusb-8292	54	280	!	!	PUNCT
geusb-8292	54	281	!	!	PUNCT
geusb-8292	54	282	!	!	PUNCT
geusb-8292	54	283	!	!	PUNCT
geusb-8292	54	284	!	!	PUNCT
geusb-8292	54	285	!	!	PUNCT
geusb-8292	54	286	!	!	PUNCT
geusb-8292	54	287	!	!	PUNCT
geusb-8292	54	288	!	!	PUNCT
geusb-8292	54	289	!	!	PUNCT
geusb-8292	54	290	!	!	PUNCT
geusb-8292	54	291	!	!	PUNCT
geusb-8292	54	292	!	!	PUNCT
geusb-8292	54	293	!	!	PUNCT
geusb-8292	54	294	!	!	PUNCT
geusb-8292	54	295	!	!	PUNCT
geusb-8292	54	296	!	!	PUNCT
geusb-8292	54	297	!	!	PUNCT
geusb-8292	54	298	!	!	PUNCT
geusb-8292	54	299	!	!	PUNCT
geusb-8292	54	300	!	!	PUNCT
geusb-8292	54	301	!	!	PUNCT
geusb-8292	54	302	!	!	PUNCT
geusb-8292	54	303	!	!	PUNCT
geusb-8292	54	304	!	!	PUNCT
geusb-8292	54	305	!	!	PUNCT
geusb-8292	54	306	!	!	PUNCT
geusb-8292	54	307	!	!	PUNCT
geusb-8292	54	308	!	!	PUNCT
geusb-8292	54	309	!	!	PUNCT
geusb-8292	54	310	!	!	PUNCT
geusb-8292	54	311	!	!	PUNCT
geusb-8292	54	312	!	!	PUNCT
geusb-8292	54	313	!	!	PUNCT
geusb-8292	54	314	!	!	PUNCT
geusb-8292	54	315	!	!	PUNCT
geusb-8292	54	316	!	!	PUNCT
geusb-8292	54	317	!	!	PUNCT
geusb-8292	54	318	!	!	PUNCT
geusb-8292	54	319	!	!	PUNCT
geusb-8292	54	320	!	!	PUNCT
geusb-8292	54	321	!	!	PUNCT
geusb-8292	54	322	!	!	PUNCT
geusb-8292	54	323	!	!	PUNCT
geusb-8292	54	324	!	!	PUNCT
geusb-8292	54	325	!	!	PUNCT
geusb-8292	54	326	!	!	PUNCT
geusb-8292	54	327	!	!	PUNCT
geusb-8292	54	328	!	!	PUNCT
geusb-8292	54	329	!	!	PUNCT
geusb-8292	54	330	!	!	PUNCT
geusb-8292	54	331	!	!	PUNCT
geusb-8292	54	332	!	!	PUNCT
geusb-8292	54	333	!	!	PUNCT
geusb-8292	54	334	!	!	PUNCT
geusb-8292	54	335	!	!	PUNCT
geusb-8292	54	336	!	!	PUNCT
geusb-8292	54	337	!	!	PUNCT
geusb-8292	54	338	!	!	PUNCT
geusb-8292	54	339	!	!	PUNCT
geusb-8292	54	340	!	!	PUNCT
geusb-8292	54	341	!	!	PUNCT
geusb-8292	54	342	!	!	PUNCT
geusb-8292	54	343	!	!	PUNCT
geusb-8292	54	344	!	!	PUNCT
geusb-8292	54	345	!	!	PUNCT
geusb-8292	54	346	!	!	PUNCT
geusb-8292	54	347	!	!	PUNCT
geusb-8292	54	348	!	!	PUNCT
geusb-8292	54	349	!	!	PUNCT
geusb-8292	54	350	!	!	PUNCT
geusb-8292	54	351	!	!	PUNCT
geusb-8292	54	352	!	!	PUNCT
geusb-8292	54	353	!	!	PUNCT
geusb-8292	54	354	!	!	PUNCT
geusb-8292	54	355	!	!	PUNCT
geusb-8292	54	356	!	!	PUNCT
geusb-8292	54	357	!	!	PUNCT
geusb-8292	54	358	!	!	PUNCT
geusb-8292	54	359	!	!	PUNCT
geusb-8292	54	360	!	!	PUNCT
geusb-8292	54	361	!	!	PUNCT
geusb-8292	54	362	!	!	PUNCT
geusb-8292	54	363	!	!	PUNCT
geusb-8292	54	364	!	!	PUNCT
geusb-8292	54	365	!	!	PUNCT
geusb-8292	54	366	!	!	PUNCT
geusb-8292	54	367	!	!	PUNCT
geusb-8292	54	368	!	!	PUNCT
geusb-8292	54	369	!	!	PUNCT
geusb-8292	54	370	!	!	PUNCT
geusb-8292	54	371	!	!	PUNCT
geusb-8292	54	372	!	!	PUNCT
geusb-8292	54	373	!	!	PUNCT
geusb-8292	54	374	!	!	PUNCT
geusb-8292	54	375	!	!	PUNCT
geusb-8292	54	376	!	!	PUNCT
geusb-8292	54	377	!	!	PUNCT
geusb-8292	55	1	!	!	PUNCT
geusb-8292	56	1	60	60	NUM
geusb-8292	56	2	800	800	NUM
geusb-8292	56	3	20	20	NUM
geusb-8292	56	4	40	40	NUM
geusb-8292	56	5	km	km	PROPN
geusb-8292	56	6	q	q	PROPN
geusb-8292	56	7	stations	station	NOUN
geusb-8292	56	8	spatial	spatial	ADJ
geusb-8292	56	9	split	split	NOUN
geusb-8292	56	10	-	-	PUNCT
geusb-8292	56	11	sample	sample	NOUN
geusb-8292	56	12	catchments	catchment	NOUN
geusb-8292	56	13	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	56	14	http://www.geusbulletin.org	http://www.geusbulletin.org	PROPN
geusb-8292	56	15	https://doi.org/10.22008/fk2/ycqxtr	https://doi.org/10.22008/fk2/ycqxtr	PROPN
geusb-8292	56	16	koch	koch	PROPN
geusb-8292	56	17	&	&	CCONJ
geusb-8292	56	18	schneider	schneider	PROPN
geusb-8292	56	19	2022	2022	NUM
geusb-8292	56	20	:	:	PUNCT
geusb-8292	56	21	geus	geus	NOUN
geusb-8292	56	22	bulletin	bulletin	NOUN
geusb-8292	56	23	49	49	NUM
geusb-8292	56	24	.	.	PUNCT
geusb-8292	56	25	8292	8292	NUM
geusb-8292	56	26	.	.	PUNCT
geusb-8292	57	1	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	57	2	3	3	NUM
geusb-8292	57	3	of	of	ADP
geusb-8292	57	4	7	7	NUM
geusb-8292	57	5	www.geusbul	www.geusbul	NOUN
geusb-8292	57	6	let	let	VERB
geusb-8292	57	7	in.org	in.org	PROPN
geusb-8292	57	8	neuralhydrology	neuralhydrology	NOUN
geusb-8292	57	9	codebase	codebase	ADJ
geusb-8292	57	10	(	(	PUNCT
geusb-8292	57	11	github.com/neuralhydrology/neuralhydrology/	github.com/neuralhydrology/neuralhydrology/	NOUN
geusb-8292	57	12	)	)	PUNCT
geusb-8292	57	13	to	to	PART
geusb-8292	57	14	train	train	VERB
geusb-8292	57	15	and	and	CCONJ
geusb-8292	57	16	evaluate	evaluate	VERB
geusb-8292	57	17	the	the	DET
geusb-8292	57	18	models	model	NOUN
geusb-8292	57	19	used	use	VERB
geusb-8292	57	20	in	in	ADP
geusb-8292	57	21	this	this	DET
geusb-8292	57	22	study	study	NOUN
geusb-8292	57	23	.	.	PUNCT
geusb-8292	58	1	experimental	experimental	ADJ
geusb-8292	58	2	setup	setup	NOUN
geusb-8292	58	3	hyperparameters	hyperparameter	NOUN
geusb-8292	58	4	and	and	CCONJ
geusb-8292	58	5	general	general	ADJ
geusb-8292	58	6	settings	setting	NOUN
geusb-8292	58	7	as	as	ADP
geusb-8292	58	8	the	the	DET
geusb-8292	58	9	purpose	purpose	NOUN
geusb-8292	58	10	of	of	ADP
geusb-8292	58	11	this	this	DET
geusb-8292	58	12	study	study	NOUN
geusb-8292	58	13	was	be	AUX
geusb-8292	58	14	to	to	PART
geusb-8292	58	15	initially	initially	ADV
geusb-8292	58	16	explore	explore	VERB
geusb-8292	58	17	the	the	DET
geusb-8292	58	18	lstm	lstm	PROPN
geusb-8292	58	19	applicability	applicability	NOUN
geusb-8292	58	20	,	,	PUNCT
geusb-8292	58	21	hyperparameters	hyperparameter	NOUN
geusb-8292	58	22	were	be	AUX
geusb-8292	58	23	not	not	PART
geusb-8292	58	24	optimised	optimise	VERB
geusb-8292	58	25	.	.	PUNCT
geusb-8292	59	1	following	follow	VERB
geusb-8292	59	2	kratzert	kratzert	PROPN
geusb-8292	59	3	et	et	PROPN
geusb-8292	59	4	al	al	PROPN
geusb-8292	59	5	.	.	PROPN
geusb-8292	60	1	(	(	PUNCT
geusb-8292	60	2	2019b	2019b	NUM
geusb-8292	60	3	)	)	PUNCT
geusb-8292	60	4	,	,	PUNCT
geusb-8292	60	5	we	we	PRON
geusb-8292	60	6	assigned	assign	VERB
geusb-8292	60	7	the	the	DET
geusb-8292	60	8	following	follow	VERB
geusb-8292	60	9	hyperparameter	hyperparameter	NOUN
geusb-8292	60	10	values	value	NOUN
geusb-8292	60	11	:	:	PUNCT
geusb-8292	60	12	a	a	DET
geusb-8292	60	13	learning	learn	VERB
geusb-8292	60	14	rate	rate	NOUN
geusb-8292	60	15	of	of	ADP
geusb-8292	60	16	0.001	0.001	NUM
geusb-8292	60	17	,	,	PUNCT
geusb-8292	60	18	a	a	DET
geusb-8292	60	19	batch	batch	NOUN
geusb-8292	60	20	size	size	NOUN
geusb-8292	60	21	of	of	ADP
geusb-8292	60	22	256	256	NUM
geusb-8292	60	23	,	,	PUNCT
geusb-8292	60	24	an	an	DET
geusb-8292	60	25	input	input	NOUN
geusb-8292	60	26	length	length	NOUN
geusb-8292	60	27	of	of	ADP
geusb-8292	60	28	270	270	NUM
geusb-8292	60	29	days	day	NOUN
geusb-8292	60	30	,	,	PUNCT
geusb-8292	60	31	64	64	NUM
geusb-8292	60	32	hidden	hide	VERB
geusb-8292	60	33	cell	cell	NOUN
geusb-8292	60	34	states	state	NOUN
geusb-8292	60	35	,	,	PUNCT
geusb-8292	60	36	a	a	DET
geusb-8292	60	37	dropout	dropout	NOUN
geusb-8292	60	38	rate	rate	NOUN
geusb-8292	60	39	of	of	ADP
geusb-8292	60	40	0.4	0.4	NUM
geusb-8292	60	41	and	and	CCONJ
geusb-8292	60	42	20	20	NUM
geusb-8292	60	43	training	training	NOUN
geusb-8292	60	44	epochs	epoch	NOUN
geusb-8292	60	45	.	.	PUNCT
geusb-8292	61	1	all	all	DET
geusb-8292	61	2	models	model	NOUN
geusb-8292	61	3	were	be	AUX
geusb-8292	61	4	trained	train	VERB
geusb-8292	61	5	with	with	ADP
geusb-8292	61	6	five	five	NUM
geusb-8292	61	7	different	different	ADJ
geusb-8292	61	8	seeds	seed	NOUN
geusb-8292	61	9	and	and	CCONJ
geusb-8292	61	10	the	the	DET
geusb-8292	61	11	average	average	NOUN
geusb-8292	61	12	of	of	ADP
geusb-8292	61	13	the	the	DET
geusb-8292	61	14	five	five	NUM
geusb-8292	61	15	models	model	NOUN
geusb-8292	61	16	was	be	AUX
geusb-8292	61	17	used	use	VERB
geusb-8292	61	18	for	for	ADP
geusb-8292	61	19	the	the	DET
geusb-8292	61	20	final	final	ADJ
geusb-8292	61	21	lstm	lstm	NOUN
geusb-8292	61	22	prediction	prediction	NOUN
geusb-8292	61	23	.	.	PUNCT
geusb-8292	62	1	the	the	DET
geusb-8292	62	2	model	model	NOUN
geusb-8292	62	3	setup	setup	NOUN
geusb-8292	62	4	files	file	NOUN
geusb-8292	62	5	are	be	AUX
geusb-8292	62	6	available	available	ADJ
geusb-8292	62	7	at	at	ADP
geusb-8292	62	8	https://doi.org/10.22008/	https://doi.org/10.22008/	PROPN
geusb-8292	62	9	fk2	fk2	NOUN
geusb-8292	62	10	/	/	SYM
geusb-8292	62	11	ycqxtr	ycqxtr	NOUN
geusb-8292	62	12	.	.	PUNCT
geusb-8292	63	1	split	split	NOUN
geusb-8292	63	2	-	-	PUNCT
geusb-8292	63	3	sample	sample	NOUN
geusb-8292	63	4	experiments	experiment	NOUN
geusb-8292	63	5	we	we	PRON
geusb-8292	63	6	conducted	conduct	VERB
geusb-8292	63	7	both	both	CCONJ
geusb-8292	63	8	a	a	DET
geusb-8292	63	9	temporal	temporal	ADJ
geusb-8292	63	10	split	split	NOUN
geusb-8292	63	11	-	-	PUNCT
geusb-8292	63	12	sample	sample	NOUN
geusb-8292	63	13	and	and	CCONJ
geusb-8292	63	14	a	a	DET
geusb-8292	63	15	spatio	spatio	ADJ
geusb-8292	63	16	-	-	PUNCT
geusb-8292	63	17	temporal	temporal	ADJ
geusb-8292	63	18	split	split	NOUN
geusb-8292	63	19	-	-	PUNCT
geusb-8292	63	20	sample	sample	NOUN
geusb-8292	63	21	experiment	experiment	NOUN
geusb-8292	63	22	to	to	PART
geusb-8292	63	23	test	test	VERB
geusb-8292	63	24	the	the	DET
geusb-8292	63	25	capabilities	capability	NOUN
geusb-8292	63	26	of	of	ADP
geusb-8292	63	27	a	a	DET
geusb-8292	63	28	lstm	lstm	NOUN
geusb-8292	63	29	for	for	ADP
geusb-8292	63	30	danish	danish	ADJ
geusb-8292	63	31	runoff	runoff	NOUN
geusb-8292	63	32	data	datum	NOUN
geusb-8292	63	33	.	.	PUNCT
geusb-8292	64	1	the	the	DET
geusb-8292	64	2	temporal	temporal	ADJ
geusb-8292	64	3	split	split	NOUN
geusb-8292	64	4	-	-	PUNCT
geusb-8292	64	5	sample	sample	NOUN
geusb-8292	64	6	experiment	experiment	NOUN
geusb-8292	64	7	used	use	VERB
geusb-8292	64	8	data	datum	NOUN
geusb-8292	64	9	from	from	ADP
geusb-8292	64	10	all	all	DET
geusb-8292	64	11	301	301	NUM
geusb-8292	64	12	stations	station	NOUN
geusb-8292	64	13	for	for	ADP
geusb-8292	64	14	training	training	NOUN
geusb-8292	64	15	.	.	PUNCT
geusb-8292	65	1	the	the	DET
geusb-8292	65	2	timeseries	timeserie	NOUN
geusb-8292	65	3	were	be	AUX
geusb-8292	65	4	split	split	VERB
geusb-8292	65	5	into	into	ADP
geusb-8292	65	6	a	a	DET
geusb-8292	65	7	training	training	NOUN
geusb-8292	65	8	period	period	NOUN
geusb-8292	65	9	of	of	ADP
geusb-8292	65	10	11	11	NUM
geusb-8292	65	11	years	year	NOUN
geusb-8292	65	12	(	(	PUNCT
geusb-8292	65	13	2000–2011	2000–2011	NUM
geusb-8292	65	14	)	)	PUNCT
geusb-8292	65	15	and	and	CCONJ
geusb-8292	65	16	a	a	DET
geusb-8292	65	17	test	test	NOUN
geusb-8292	65	18	period	period	NOUN
geusb-8292	65	19	of	of	ADP
geusb-8292	65	20	10	10	NUM
geusb-8292	65	21	years	year	NOUN
geusb-8292	65	22	(	(	PUNCT
geusb-8292	65	23	1990–1999	1990–1999	NUM
geusb-8292	65	24	;	;	PUNCT
geusb-8292	65	25	fig	fig	NOUN
geusb-8292	65	26	.	.	PUNCT
geusb-8292	66	1	2	2	NUM
geusb-8292	66	2	)	)	PUNCT
geusb-8292	66	3	.	.	PUNCT
geusb-8292	67	1	the	the	DET
geusb-8292	67	2	two	two	NUM
geusb-8292	67	3	periods	period	NOUN
geusb-8292	67	4	correspond	correspond	VERB
geusb-8292	67	5	to	to	ADP
geusb-8292	67	6	the	the	DET
geusb-8292	67	7	calibration	calibration	NOUN
geusb-8292	67	8	and	and	CCONJ
geusb-8292	67	9	test	test	NOUN
geusb-8292	67	10	period	period	NOUN
geusb-8292	67	11	of	of	ADP
geusb-8292	67	12	the	the	DET
geusb-8292	67	13	dk	dk	PROPN
geusb-8292	67	14	-	-	NOUN
geusb-8292	67	15	model	model	NOUN
geusb-8292	67	16	,	,	PUNCT
geusb-8292	67	17	which	which	PRON
geusb-8292	67	18	permitted	permit	VERB
geusb-8292	67	19	a	a	DET
geusb-8292	67	20	fair	fair	ADJ
geusb-8292	67	21	comparison	comparison	NOUN
geusb-8292	67	22	between	between	ADP
geusb-8292	67	23	the	the	DET
geusb-8292	67	24	two	two	NUM
geusb-8292	67	25	models	model	NOUN
geusb-8292	67	26	.	.	PUNCT
geusb-8292	68	1	the	the	DET
geusb-8292	68	2	spatio	spatio	PROPN
geusb-8292	68	3	-	-	PUNCT
geusb-8292	68	4	temporal	temporal	ADJ
geusb-8292	68	5	split	split	NOUN
geusb-8292	68	6	-	-	PUNCT
geusb-8292	68	7	sample	sample	NOUN
geusb-8292	68	8	experiment	experiment	NOUN
geusb-8292	68	9	was	be	AUX
geusb-8292	68	10	divided	divide	VERB
geusb-8292	68	11	into	into	ADP
geusb-8292	68	12	the	the	DET
geusb-8292	68	13	same	same	ADJ
geusb-8292	68	14	training	training	NOUN
geusb-8292	68	15	and	and	CCONJ
geusb-8292	68	16	test	test	NOUN
geusb-8292	68	17	periods	period	NOUN
geusb-8292	68	18	.	.	PUNCT
geusb-8292	69	1	furthermore	furthermore	ADV
geusb-8292	69	2	,	,	PUNCT
geusb-8292	69	3	20	20	NUM
geusb-8292	69	4	%	%	NOUN
geusb-8292	69	5	of	of	ADP
geusb-8292	69	6	the	the	DET
geusb-8292	69	7	stations	station	NOUN
geusb-8292	69	8	were	be	AUX
geusb-8292	69	9	randomly	randomly	ADV
geusb-8292	69	10	selected	select	VERB
geusb-8292	69	11	and	and	CCONJ
geusb-8292	69	12	removed	remove	VERB
geusb-8292	69	13	from	from	ADP
geusb-8292	69	14	the	the	DET
geusb-8292	69	15	training	training	NOUN
geusb-8292	69	16	data	datum	NOUN
geusb-8292	69	17	set	set	VERB
geusb-8292	69	18	and	and	CCONJ
geusb-8292	69	19	retained	retain	VERB
geusb-8292	69	20	for	for	ADP
geusb-8292	69	21	model	model	NOUN
geusb-8292	69	22	evaluation	evaluation	NOUN
geusb-8292	69	23	of	of	ADP
geusb-8292	69	24	the	the	DET
geusb-8292	69	25	spatio	spatio	PROPN
geusb-8292	69	26	-	-	PUNCT
geusb-8292	69	27	temporal	temporal	ADJ
geusb-8292	69	28	split	split	NOUN
geusb-8292	69	29	-	-	PUNCT
geusb-8292	69	30	sample	sample	NOUN
geusb-8292	69	31	experiment	experiment	NOUN
geusb-8292	69	32	(	(	PUNCT
geusb-8292	69	33	i.e.	i.e.	X
geusb-8292	69	34	a	a	DET
geusb-8292	69	35	20	20	NUM
geusb-8292	69	36	%	%	NOUN
geusb-8292	69	37	spatial	spatial	ADJ
geusb-8292	69	38	hold	hold	NOUN
geusb-8292	69	39	-	-	PUNCT
geusb-8292	69	40	out	out	NOUN
geusb-8292	69	41	;	;	PUNCT
geusb-8292	69	42	fig	fig	NOUN
geusb-8292	69	43	.	.	PUNCT
geusb-8292	70	1	1	1	NUM
geusb-8292	70	2	)	)	PUNCT
geusb-8292	70	3	.	.	PUNCT
geusb-8292	71	1	this	this	DET
geusb-8292	71	2	experiment	experiment	NOUN
geusb-8292	71	3	offers	offer	VERB
geusb-8292	71	4	a	a	DET
geusb-8292	71	5	more	more	ADV
geusb-8292	71	6	robust	robust	ADJ
geusb-8292	71	7	evaluation	evaluation	NOUN
geusb-8292	71	8	,	,	PUNCT
geusb-8292	71	9	as	as	SCONJ
geusb-8292	71	10	it	it	PRON
geusb-8292	71	11	tests	test	VERB
geusb-8292	71	12	the	the	DET
geusb-8292	71	13	transferability	transferability	NOUN
geusb-8292	71	14	of	of	ADP
geusb-8292	71	15	80	80	NUM
geusb-8292	71	16	%	%	NOUN
geusb-8292	71	17	of	of	ADP
geusb-8292	71	18	stations	station	NOUN
geusb-8292	71	19	to	to	ADP
geusb-8292	71	20	the	the	DET
geusb-8292	71	21	remaining	remain	VERB
geusb-8292	71	22	20	20	NUM
geusb-8292	71	23	%	%	NOUN
geusb-8292	71	24	.	.	PUNCT
geusb-8292	72	1	this	this	PRON
geusb-8292	72	2	allows	allow	VERB
geusb-8292	72	3	us	we	PRON
geusb-8292	72	4	to	to	PART
geusb-8292	72	5	assess	assess	VERB
geusb-8292	72	6	the	the	DET
geusb-8292	72	7	ability	ability	NOUN
geusb-8292	72	8	to	to	PART
geusb-8292	72	9	predict	predict	VERB
geusb-8292	72	10	ungauged	ungauged	ADJ
geusb-8292	72	11	basins	basin	NOUN
geusb-8292	72	12	.	.	PUNCT
geusb-8292	73	1	pre	pre	VERB
geusb-8292	73	2	-	-	VERB
geusb-8292	73	3	training	train	VERB
geusb-8292	73	4	the	the	DET
geusb-8292	73	5	concept	concept	NOUN
geusb-8292	73	6	of	of	ADP
geusb-8292	73	7	pre	pre	ADJ
geusb-8292	73	8	-	-	NOUN
geusb-8292	73	9	training	training	NOUN
geusb-8292	73	10	can	can	AUX
geusb-8292	73	11	be	be	AUX
geusb-8292	73	12	used	use	VERB
geusb-8292	73	13	to	to	PART
geusb-8292	73	14	initialise	initialise	VERB
geusb-8292	73	15	the	the	DET
geusb-8292	73	16	weights	weight	NOUN
geusb-8292	73	17	of	of	ADP
geusb-8292	73	18	a	a	DET
geusb-8292	73	19	lstm	lstm	NOUN
geusb-8292	73	20	using	use	VERB
geusb-8292	73	21	alternative	alternative	ADJ
geusb-8292	73	22	runoff	runoff	NOUN
geusb-8292	73	23	data	datum	NOUN
geusb-8292	73	24	before	before	ADP
geusb-8292	73	25	fine	fine	ADV
geusb-8292	73	26	-	-	PUNCT
geusb-8292	73	27	tuning	tune	VERB
geusb-8292	73	28	the	the	DET
geusb-8292	73	29	lstm	lstm	NOUN
geusb-8292	73	30	using	use	VERB
geusb-8292	73	31	the	the	DET
geusb-8292	73	32	actual	actual	ADJ
geusb-8292	73	33	runoff	runoff	NOUN
geusb-8292	73	34	data	datum	NOUN
geusb-8292	73	35	from	from	ADP
geusb-8292	73	36	the	the	DET
geusb-8292	73	37	catchments	catchment	NOUN
geusb-8292	73	38	of	of	ADP
geusb-8292	73	39	interest	interest	NOUN
geusb-8292	73	40	.	.	PUNCT
geusb-8292	74	1	runoff	runoff	NOUN
geusb-8292	74	2	data	datum	NOUN
geusb-8292	74	3	for	for	ADP
geusb-8292	74	4	pre	pre	ADJ
geusb-8292	74	5	-	-	NOUN
geusb-8292	74	6	training	training	NOUN
geusb-8292	74	7	can	can	AUX
geusb-8292	74	8	potentially	potentially	ADV
geusb-8292	74	9	be	be	AUX
geusb-8292	74	10	obtained	obtain	VERB
geusb-8292	74	11	from	from	ADP
geusb-8292	74	12	observational	observational	ADJ
geusb-8292	74	13	data	datum	NOUN
geusb-8292	74	14	sets	set	NOUN
geusb-8292	74	15	from	from	ADP
geusb-8292	74	16	a	a	DET
geusb-8292	74	17	larger	large	ADJ
geusb-8292	74	18	or	or	CCONJ
geusb-8292	74	19	different	different	ADJ
geusb-8292	74	20	geographical	geographical	ADJ
geusb-8292	74	21	region	region	NOUN
geusb-8292	74	22	or	or	CCONJ
geusb-8292	74	23	from	from	ADP
geusb-8292	74	24	a	a	DET
geusb-8292	74	25	pbm	pbm	NOUN
geusb-8292	74	26	.	.	PUNCT
geusb-8292	75	1	in	in	ADP
geusb-8292	75	2	this	this	DET
geusb-8292	75	3	study	study	NOUN
geusb-8292	75	4	,	,	PUNCT
geusb-8292	75	5	we	we	PRON
geusb-8292	75	6	followed	follow	VERB
geusb-8292	75	7	the	the	DET
geusb-8292	75	8	latter	latter	ADJ
geusb-8292	75	9	and	and	CCONJ
geusb-8292	75	10	employed	employ	VERB
geusb-8292	75	11	simulation	simulation	NOUN
geusb-8292	75	12	data	datum	NOUN
geusb-8292	75	13	from	from	ADP
geusb-8292	75	14	the	the	DET
geusb-8292	75	15	dk	dk	PROPN
geusb-8292	75	16	-	-	PUNCT
geusb-8292	75	17	model	model	NOUN
geusb-8292	75	18	to	to	ADP
geusb-8292	75	19	pretrain	pretrain	NOUN
geusb-8292	75	20	.	.	PUNCT
geusb-8292	76	1	in	in	ADP
geusb-8292	76	2	this	this	DET
geusb-8292	76	3	way	way	NOUN
geusb-8292	76	4	,	,	PUNCT
geusb-8292	76	5	the	the	DET
geusb-8292	76	6	lstm	lstm	NOUN
geusb-8292	76	7	aimed	aim	VERB
geusb-8292	76	8	to	to	PART
geusb-8292	76	9	emulate	emulate	VERB
geusb-8292	76	10	the	the	DET
geusb-8292	76	11	process	process	NOUN
geusb-8292	76	12	descriptions	description	NOUN
geusb-8292	76	13	of	of	ADP
geusb-8292	76	14	the	the	DET
geusb-8292	76	15	pbm	pbm	NOUN
geusb-8292	76	16	before	before	ADP
geusb-8292	76	17	being	be	AUX
geusb-8292	76	18	fine	fine	ADV
geusb-8292	76	19	-	-	PUNCT
geusb-8292	76	20	tuned	tune	VERB
geusb-8292	76	21	against	against	ADP
geusb-8292	76	22	observed	observed	ADJ
geusb-8292	76	23	runoff	runoff	NOUN
geusb-8292	76	24	.	.	PUNCT
geusb-8292	77	1	the	the	DET
geusb-8292	77	2	training	training	NOUN
geusb-8292	77	3	epochs	epoch	NOUN
geusb-8292	77	4	were	be	AUX
geusb-8292	77	5	set	set	VERB
geusb-8292	77	6	to	to	ADP
geusb-8292	77	7	15	15	NUM
geusb-8292	77	8	for	for	ADP
geusb-8292	77	9	pre	pre	ADJ
geusb-8292	77	10	-	-	NOUN
geusb-8292	77	11	training	training	NOUN
geusb-8292	77	12	and	and	CCONJ
geusb-8292	77	13	5	5	NUM
geusb-8292	77	14	for	for	ADP
geusb-8292	77	15	fine	fine	ADV
geusb-8292	77	16	-	-	PUNCT
geusb-8292	77	17	tuning	tuning	NOUN
geusb-8292	77	18	.	.	PUNCT
geusb-8292	78	1	simulated	simulate	VERB
geusb-8292	78	2	runoff	runoff	NOUN
geusb-8292	78	3	at	at	ADP
geusb-8292	78	4	all	all	DET
geusb-8292	78	5	301	301	NUM
geusb-8292	78	6	stations	station	NOUN
geusb-8292	78	7	for	for	ADP
geusb-8292	78	8	the	the	DET
geusb-8292	78	9	training	training	NOUN
geusb-8292	78	10	period	period	NOUN
geusb-8292	78	11	of	of	ADP
geusb-8292	78	12	11	11	NUM
geusb-8292	78	13	years	year	NOUN
geusb-8292	78	14	(	(	PUNCT
geusb-8292	78	15	2000–2011	2000–2011	NUM
geusb-8292	78	16	)	)	PUNCT
geusb-8292	78	17	was	be	AUX
geusb-8292	78	18	used	use	VERB
geusb-8292	78	19	for	for	ADP
geusb-8292	78	20	pre	pre	ADJ
geusb-8292	78	21	-	-	NOUN
geusb-8292	78	22	training	training	NOUN
geusb-8292	78	23	,	,	PUNCT
geusb-8292	78	24	and	and	CCONJ
geusb-8292	78	25	it	it	PRON
geusb-8292	78	26	was	be	AUX
geusb-8292	78	27	applied	apply	VERB
geusb-8292	78	28	to	to	ADP
geusb-8292	78	29	both	both	CCONJ
geusb-8292	78	30	split	split	ADJ
geusb-8292	78	31	-	-	PUNCT
geusb-8292	78	32	sample	sample	NOUN
geusb-8292	78	33	experiments	experiment	NOUN
geusb-8292	78	34	.	.	PUNCT
geusb-8292	79	1	evaluation	evaluation	NOUN
geusb-8292	79	2	metrics	metric	NOUN
geusb-8292	79	3	for	for	ADP
geusb-8292	79	4	training	train	VERB
geusb-8292	79	5	the	the	DET
geusb-8292	79	6	lstm	lstm	PROPN
geusb-8292	79	7	network	network	NOUN
geusb-8292	79	8	,	,	PUNCT
geusb-8292	79	9	the	the	DET
geusb-8292	79	10	mean	mean	NOUN
geusb-8292	79	11	squared	square	VERB
geusb-8292	79	12	error	error	NOUN
geusb-8292	79	13	(	(	PUNCT
geusb-8292	79	14	mse	mse	NOUN
geusb-8292	79	15	)	)	PUNCT
geusb-8292	79	16	between	between	ADP
geusb-8292	79	17	the	the	DET
geusb-8292	79	18	observed	observe	VERB
geusb-8292	79	19	and	and	CCONJ
geusb-8292	79	20	simulated	simulated	ADJ
geusb-8292	79	21	runoff	runoff	NOUN
geusb-8292	79	22	was	be	AUX
geusb-8292	79	23	selected	select	VERB
geusb-8292	79	24	as	as	ADP
geusb-8292	79	25	the	the	DET
geusb-8292	79	26	loss	loss	NOUN
geusb-8292	79	27	function	function	NOUN
geusb-8292	79	28	.	.	PUNCT
geusb-8292	80	1	two	two	NUM
geusb-8292	80	2	alternative	alternative	ADJ
geusb-8292	80	3	metrics	metric	NOUN
geusb-8292	80	4	were	be	AUX
geusb-8292	80	5	calculated	calculate	VERB
geusb-8292	80	6	for	for	ADP
geusb-8292	80	7	the	the	DET
geusb-8292	80	8	model	model	NOUN
geusb-8292	80	9	evaluation	evaluation	NOUN
geusb-8292	80	10	,	,	PUNCT
geusb-8292	80	11	namely	namely	ADV
geusb-8292	80	12	the	the	DET
geusb-8292	80	13	kling	kling	NOUN
geusb-8292	80	14	-	-	PUNCT
geusb-8292	80	15	gupta	gupta	PROPN
geusb-8292	80	16	efficiency	efficiency	NOUN
geusb-8292	80	17	(	(	PUNCT
geusb-8292	80	18	kge	kge	NOUN
geusb-8292	80	19	)	)	PUNCT
geusb-8292	80	20	and	and	CCONJ
geusb-8292	80	21	the	the	DET
geusb-8292	80	22	averaged	average	VERB
geusb-8292	80	23	flow	flow	NOUN
geusb-8292	80	24	balance	balance	NOUN
geusb-8292	80	25	(	(	PUNCT
geusb-8292	80	26	fbal	fbal	PROPN
geusb-8292	80	27	)	)	PUNCT
geusb-8292	80	28	.	.	PUNCT
geusb-8292	81	1	kge	kge	PROPN
geusb-8292	81	2	is	be	AUX
geusb-8292	81	3	a	a	DET
geusb-8292	81	4	three	three	NUM
geusb-8292	81	5	-	-	PUNCT
geusb-8292	81	6	component	component	NOUN
geusb-8292	81	7	metric	metric	NOUN
geusb-8292	81	8	that	that	PRON
geusb-8292	81	9	considers	consider	VERB
geusb-8292	81	10	the	the	DET
geusb-8292	81	11	correlation	correlation	NOUN
geusb-8292	81	12	,	,	PUNCT
geusb-8292	81	13	the	the	DET
geusb-8292	81	14	standard	standard	ADJ
geusb-8292	81	15	deviation	deviation	NOUN
geusb-8292	81	16	ratio	ratio	NOUN
geusb-8292	81	17	and	and	CCONJ
geusb-8292	81	18	the	the	DET
geusb-8292	81	19	bias	bias	NOUN
geusb-8292	81	20	between	between	ADP
geusb-8292	81	21	the	the	DET
geusb-8292	81	22	observed	observed	ADJ
geusb-8292	81	23	and	and	CCONJ
geusb-8292	81	24	simulated	simulated	ADJ
geusb-8292	81	25	runoff	runoff	NOUN
geusb-8292	81	26	(	(	PUNCT
geusb-8292	81	27	gupta	gupta	PROPN
geusb-8292	81	28	et	et	PROPN
geusb-8292	81	29	al	al	PROPN
geusb-8292	81	30	.	.	PROPN
geusb-8292	81	31	2009	2009	NUM
geusb-8292	81	32	)	)	PUNCT
geusb-8292	81	33	.	.	PUNCT
geusb-8292	82	1	fbal	fbal	DET
geusb-8292	82	2	quantifies	quantifie	NOUN
geusb-8292	82	3	the	the	DET
geusb-8292	82	4	water	water	NOUN
geusb-8292	82	5	balance	balance	NOUN
geusb-8292	82	6	closure	closure	NOUN
geusb-8292	82	7	between	between	ADP
geusb-8292	82	8	the	the	DET
geusb-8292	82	9	observed	observe	VERB
geusb-8292	82	10	and	and	CCONJ
geusb-8292	82	11	simulated	simulated	ADJ
geusb-8292	82	12	runoff	runoff	NOUN
geusb-8292	82	13	relative	relative	ADJ
geusb-8292	82	14	to	to	ADP
geusb-8292	82	15	the	the	DET
geusb-8292	82	16	observed	observe	VERB
geusb-8292	82	17	flow	flow	NOUN
geusb-8292	82	18	(	(	PUNCT
geusb-8292	82	19	henriksen	henriksen	NOUN
geusb-8292	82	20	et	et	PROPN
geusb-8292	82	21	al	al	PROPN
geusb-8292	82	22	.	.	PROPN
geusb-8292	82	23	2003	2003	NUM
geusb-8292	82	24	)	)	PUNCT
geusb-8292	82	25	.	.	PUNCT
geusb-8292	83	1	negative	negative	ADJ
geusb-8292	83	2	fbal	fbal	ADJ
geusb-8292	83	3	scores	score	NOUN
geusb-8292	83	4	indicate	indicate	VERB
geusb-8292	83	5	an	an	DET
geusb-8292	83	6	overestimation	overestimation	NOUN
geusb-8292	83	7	of	of	ADP
geusb-8292	83	8	the	the	DET
geusb-8292	83	9	model	model	NOUN
geusb-8292	83	10	with	with	ADP
geusb-8292	83	11	respect	respect	NOUN
geusb-8292	83	12	to	to	ADP
geusb-8292	83	13	the	the	DET
geusb-8292	83	14	observed	observed	ADJ
geusb-8292	83	15	runoff	runoff	NOUN
geusb-8292	83	16	.	.	PUNCT
geusb-8292	84	1	the	the	DET
geusb-8292	84	2	optimal	optimal	ADJ
geusb-8292	84	3	values	value	NOUN
geusb-8292	84	4	for	for	ADP
geusb-8292	84	5	kge	kge	ADJ
geusb-8292	84	6	and	and	CCONJ
geusb-8292	84	7	fbal	fbal	ADJ
geusb-8292	84	8	are	be	AUX
geusb-8292	84	9	1	1	NUM
geusb-8292	84	10	and	and	CCONJ
geusb-8292	84	11	0	0	NUM
geusb-8292	84	12	,	,	PUNCT
geusb-8292	84	13	respectively	respectively	ADV
geusb-8292	84	14	.	.	PUNCT
geusb-8292	85	1	results	result	NOUN
geusb-8292	85	2	and	and	CCONJ
geusb-8292	85	3	discussions	discussion	NOUN
geusb-8292	85	4	the	the	DET
geusb-8292	85	5	cumulative	cumulative	ADJ
geusb-8292	85	6	density	density	NOUN
geusb-8292	85	7	functions	function	NOUN
geusb-8292	85	8	for	for	ADP
geusb-8292	85	9	kge	kge	ADJ
geusb-8292	85	10	and	and	CCONJ
geusb-8292	85	11	fbal	fbal	ADJ
geusb-8292	85	12	are	be	AUX
geusb-8292	85	13	presented	present	VERB
geusb-8292	85	14	in	in	ADP
geusb-8292	85	15	figure	figure	NOUN
geusb-8292	85	16	3	3	NUM
geusb-8292	85	17	.	.	PUNCT
geusb-8292	86	1	the	the	DET
geusb-8292	86	2	lstm	lstm	NOUN
geusb-8292	86	3	was	be	AUX
geusb-8292	86	4	benchmarked	benchmarke	VERB
geusb-8292	86	5	against	against	ADP
geusb-8292	86	6	the	the	DET
geusb-8292	86	7	dk	dk	NOUN
geusb-8292	86	8	-	-	PUNCT
geusb-8292	86	9	model	model	NOUN
geusb-8292	86	10	(	(	PUNCT
geusb-8292	86	11	pbm	pbm	NOUN
geusb-8292	86	12	)	)	PUNCT
geusb-8292	86	13	,	,	PUNCT
geusb-8292	86	14	and	and	CCONJ
geusb-8292	86	15	the	the	DET
geusb-8292	86	16	effect	effect	NOUN
geusb-8292	86	17	of	of	ADP
geusb-8292	86	18	pre	pre	NOUN
geusb-8292	86	19	-	-	NOUN
geusb-8292	86	20	training	training	NOUN
geusb-8292	86	21	was	be	AUX
geusb-8292	86	22	also	also	ADV
geusb-8292	86	23	investigated	investigate	VERB
geusb-8292	86	24	.	.	PUNCT
geusb-8292	87	1	superior	superior	ADJ
geusb-8292	87	2	performance	performance	NOUN
geusb-8292	87	3	could	could	AUX
geusb-8292	87	4	be	be	AUX
geusb-8292	87	5	attributed	attribute	VERB
geusb-8292	87	6	to	to	ADP
geusb-8292	87	7	the	the	DET
geusb-8292	87	8	lstm	lstm	NOUN
geusb-8292	87	9	,	,	PUNCT
geusb-8292	87	10	with	with	ADP
geusb-8292	87	11	and	and	CCONJ
geusb-8292	87	12	without	without	ADP
geusb-8292	87	13	pre	pre	ADJ
geusb-8292	87	14	-	-	ADJ
geusb-8292	87	15	training	training	ADJ
geusb-8292	87	16	,	,	PUNCT
geusb-8292	87	17	fig	fig	NOUN
geusb-8292	87	18	.	.	PUNCT
geusb-8292	88	1	2	2	NUM
geusb-8292	88	2	 	 	SPACE
geusb-8292	88	3	dynamic	dynamic	ADJ
geusb-8292	88	4	input	input	NOUN
geusb-8292	88	5	data	datum	NOUN
geusb-8292	88	6	for	for	ADP
geusb-8292	88	7	a	a	DET
geusb-8292	88	8	single	single	ADJ
geusb-8292	88	9	catchment	catchment	NOUN
geusb-8292	88	10	used	use	VERB
geusb-8292	88	11	to	to	PART
geusb-8292	88	12	train	train	VERB
geusb-8292	88	13	the	the	DET
geusb-8292	88	14	lstm	lstm	NOUN
geusb-8292	88	15	.	.	PUNCT
geusb-8292	89	1	a	a	DET
geusb-8292	89	2	:	:	PUNCT
geusb-8292	89	3	precipitation	precipitation	NOUN
geusb-8292	89	4	.	.	PUNCT
geusb-8292	90	1	b	b	X
geusb-8292	90	2	:	:	PUNCT
geusb-8292	90	3	potential	potential	ADJ
geusb-8292	90	4	evapotranspiration	evapotranspiration	NOUN
geusb-8292	90	5	.	.	PUNCT
geusb-8292	91	1	c	c	X
geusb-8292	91	2	:	:	PUNCT
geusb-8292	91	3	air	air	NOUN
geusb-8292	91	4	temperature	temperature	NOUN
geusb-8292	91	5	.	.	PUNCT
geusb-8292	92	1	d	d	NOUN
geusb-8292	92	2	:	:	PUNCT
geusb-8292	92	3	observed	observed	ADJ
geusb-8292	92	4	runoff	runoff	NOUN
geusb-8292	92	5	(	(	PUNCT
geusb-8292	92	6	obs	obs	PROPN
geusb-8292	92	7	)	)	PUNCT
geusb-8292	92	8	and	and	CCONJ
geusb-8292	92	9	simulated	simulated	ADJ
geusb-8292	92	10	runoff	runoff	NOUN
geusb-8292	92	11	(	(	PUNCT
geusb-8292	92	12	pbm	pbm	NOUN
geusb-8292	92	13	)	)	PUNCT
geusb-8292	92	14	were	be	AUX
geusb-8292	92	15	used	use	VERB
geusb-8292	92	16	as	as	ADP
geusb-8292	92	17	training	training	NOUN
geusb-8292	92	18	data	datum	NOUN
geusb-8292	92	19	.	.	PUNCT
geusb-8292	93	1	the	the	DET
geusb-8292	93	2	training	training	NOUN
geusb-8292	93	3	period	period	NOUN
geusb-8292	93	4	and	and	CCONJ
geusb-8292	93	5	test	test	NOUN
geusb-8292	93	6	period	period	NOUN
geusb-8292	93	7	are	be	AUX
geusb-8292	93	8	shown	show	VERB
geusb-8292	93	9	in	in	ADP
geusb-8292	93	10	a.	a.	NOUN
geusb-8292	93	11	b	b	PROPN
geusb-8292	93	12	:	:	PUNCT
geusb-8292	93	13	potential	potential	ADJ
geusb-8292	93	14	evapotranspiration	evapotranspiration	NOUN
geusb-8292	93	15	c	c	NOUN
geusb-8292	93	16	:	:	PUNCT
geusb-8292	93	17	air	air	NOUN
geusb-8292	93	18	temperature	temperature	NOUN
geusb-8292	93	19	d	d	NOUN
geusb-8292	93	20	:	:	PUNCT
geusb-8292	93	21	runoff	runoff	NOUN
geusb-8292	93	22	a	a	PRON
geusb-8292	93	23	:	:	PUNCT
geusb-8292	93	24	precipitation	precipitation	NOUN
geusb-8292	93	25	test	test	NOUN
geusb-8292	93	26	training	train	VERB
geusb-8292	93	27	pbm	pbm	NOUN
geusb-8292	93	28	obs	obs	X
geusb-8292	93	29	m	m	VERB
geusb-8292	93	30	3	3	NUM
geusb-8292	93	31	/s	/s	NOUN
geusb-8292	93	32	m	m	VERB
geusb-8292	93	33	m	m	VERB
geusb-8292	93	34	/d	/d	PUNCT
geusb-8292	93	35	ay	ay	PROPN
geusb-8292	93	36	m	m	VERB
geusb-8292	93	37	m	m	VERB
geusb-8292	93	38	/d	/d	ADJ
geusb-8292	93	39	ay	ay	PROPN
geusb-8292	93	40	0	0	NUM
geusb-8292	93	41	10	10	NUM
geusb-8292	93	42	20	20	NUM
geusb-8292	93	43	19	19	NUM
geusb-8292	93	44	92	92	NUM
geusb-8292	93	45	19	19	NUM
geusb-8292	93	46	94	94	NUM
geusb-8292	93	47	19	19	NUM
geusb-8292	93	48	96	96	NUM
geusb-8292	93	49	19	19	NUM
geusb-8292	93	50	98	98	NUM
geusb-8292	93	51	20	20	NUM
geusb-8292	93	52	00	00	NUM
geusb-8292	93	53	20	20	NUM
geusb-8292	93	54	02	02	NUM
geusb-8292	93	55	20	20	NUM
geusb-8292	93	56	04	04	NUM
geusb-8292	93	57	20	20	NUM
geusb-8292	93	58	06	06	NUM
geusb-8292	93	59	20	20	NUM
geusb-8292	93	60	08	08	NUM
geusb-8292	93	61	20	20	NUM
geusb-8292	93	62	10	10	NUM
geusb-8292	93	63	19	19	NUM
geusb-8292	93	64	90	90	NUM
geusb-8292	93	65	40	40	NUM
geusb-8292	93	66	°	°	PUNCT
geusb-8292	94	1	c	c	NOUN
geusb-8292	94	2	20	20	NUM
geusb-8292	94	3	20	20	NUM
geusb-8292	94	4	0	0	NUM
geusb-8292	94	5	0	0	NUM
geusb-8292	94	6	0	0	NUM
geusb-8292	94	7	2	2	NUM
geusb-8292	94	8	4	4	NUM
geusb-8292	94	9	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	94	10	http://www.geusbulletin.org	http://www.geusbulletin.org	PUNCT
geusb-8292	94	11	http://github.com/neuralhydrology/neuralhydrology/	http://github.com/neuralhydrology/neuralhydrology/	NOUN
geusb-8292	94	12	http://github.com/neuralhydrology/neuralhydrology/	http://github.com/neuralhydrology/neuralhydrology/	PROPN
geusb-8292	94	13	https://doi.org/10.22008/fk2/ycqxtr	https://doi.org/10.22008/fk2/ycqxtr	PROPN
geusb-8292	95	1	https://doi.org/10.22008/fk2/ycqxtr	https://doi.org/10.22008/fk2/ycqxtr	PROPN
geusb-8292	95	2	koch	koch	PROPN
geusb-8292	95	3	&	&	CCONJ
geusb-8292	95	4	schneider	schneider	PROPN
geusb-8292	95	5	2022	2022	NUM
geusb-8292	95	6	:	:	PUNCT
geusb-8292	95	7	geus	geus	NOUN
geusb-8292	95	8	bulletin	bulletin	NOUN
geusb-8292	95	9	49	49	NUM
geusb-8292	95	10	.	.	PUNCT
geusb-8292	95	11	8292	8292	NUM
geusb-8292	95	12	.	.	PUNCT
geusb-8292	96	1	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	96	2	4	4	NUM
geusb-8292	96	3	of	of	ADP
geusb-8292	96	4	7	7	NUM
geusb-8292	96	5	www.geusbul	www.geusbul	NOUN
geusb-8292	96	6	let	let	VERB
geusb-8292	96	7	in.org	in.org	ADJ
geusb-8292	96	8	with	with	ADP
geusb-8292	96	9	respect	respect	NOUN
geusb-8292	96	10	to	to	AUX
geusb-8292	96	11	kge	kge	VERB
geusb-8292	96	12	for	for	ADP
geusb-8292	96	13	the	the	DET
geusb-8292	96	14	temporal	temporal	ADJ
geusb-8292	96	15	split	split	NOUN
geusb-8292	96	16	-	-	PUNCT
geusb-8292	96	17	sample	sample	NOUN
geusb-8292	96	18	experiment	experiment	NOUN
geusb-8292	96	19	.	.	PUNCT
geusb-8292	97	1	the	the	DET
geusb-8292	97	2	median	median	ADJ
geusb-8292	97	3	kge	kge	NOUN
geusb-8292	97	4	was	be	AUX
geusb-8292	97	5	0.8	0.8	NUM
geusb-8292	97	6	for	for	ADP
geusb-8292	97	7	both	both	DET
geusb-8292	97	8	lstm	lstm	ADJ
geusb-8292	97	9	configurations	configuration	NOUN
geusb-8292	97	10	and	and	CCONJ
geusb-8292	97	11	0.7	0.7	NUM
geusb-8292	97	12	for	for	ADP
geusb-8292	97	13	the	the	DET
geusb-8292	97	14	pbm	pbm	NOUN
geusb-8292	97	15	.	.	PUNCT
geusb-8292	98	1	the	the	DET
geusb-8292	98	2	conclusion	conclusion	NOUN
geusb-8292	98	3	was	be	AUX
geusb-8292	98	4	less	less	ADV
geusb-8292	98	5	clear	clear	ADJ
geusb-8292	98	6	for	for	ADP
geusb-8292	98	7	the	the	DET
geusb-8292	98	8	water	water	NOUN
geusb-8292	98	9	balance	balance	NOUN
geusb-8292	98	10	closure	closure	NOUN
geusb-8292	98	11	(	(	PUNCT
geusb-8292	98	12	fbal	fbal	PROPN
geusb-8292	98	13	)	)	PUNCT
geusb-8292	98	14	;	;	PUNCT
geusb-8292	98	15	here	here	ADV
geusb-8292	98	16	,	,	PUNCT
geusb-8292	98	17	the	the	DET
geusb-8292	98	18	pbm	pbm	NOUN
geusb-8292	98	19	showed	show	VERB
geusb-8292	98	20	normally	normally	ADV
geusb-8292	98	21	distributed	distribute	VERB
geusb-8292	98	22	underand	underand	NOUN
geusb-8292	98	23	over	over	ADP
geusb-8292	98	24	-	-	PUNCT
geusb-8292	98	25	estimates	estimate	NOUN
geusb-8292	98	26	with	with	ADP
geusb-8292	98	27	a	a	DET
geusb-8292	98	28	median	median	ADJ
geusb-8292	98	29	close	close	ADJ
geusb-8292	98	30	to	to	ADP
geusb-8292	98	31	zero	zero	NUM
geusb-8292	98	32	.	.	PUNCT
geusb-8292	99	1	however	however	ADV
geusb-8292	99	2	,	,	PUNCT
geusb-8292	99	3	the	the	DET
geusb-8292	99	4	lstms	lstms	NOUN
geusb-8292	99	5	were	be	AUX
geusb-8292	99	6	skewed	skewed	ADJ
geusb-8292	99	7	towards	towards	ADP
geusb-8292	99	8	negative	negative	ADJ
geusb-8292	99	9	values	value	NOUN
geusb-8292	99	10	,	,	PUNCT
geusb-8292	99	11	that	that	ADV
geusb-8292	99	12	is	is	ADV
geusb-8292	99	13	,	,	PUNCT
geusb-8292	99	14	overestimation	overestimation	NOUN
geusb-8292	99	15	of	of	ADP
geusb-8292	99	16	runoff	runoff	NOUN
geusb-8292	99	17	,	,	PUNCT
geusb-8292	99	18	with	with	ADP
geusb-8292	99	19	a	a	DET
geusb-8292	99	20	median	median	NOUN
geusb-8292	99	21	of	of	ADP
geusb-8292	99	22	–	–	PUNCT
geusb-8292	99	23	0.08	0.08	NUM
geusb-8292	99	24	.	.	PUNCT
geusb-8292	100	1	overestimated	overestimated	ADJ
geusb-8292	100	2	runoff	runoff	NOUN
geusb-8292	100	3	was	be	AUX
geusb-8292	100	4	predominately	predominately	ADV
geusb-8292	100	5	evident	evident	ADJ
geusb-8292	100	6	during	during	ADP
geusb-8292	100	7	the	the	DET
geusb-8292	100	8	low	low	ADJ
geusb-8292	100	9	-	-	PUNCT
geusb-8292	100	10	flow	flow	NOUN
geusb-8292	100	11	summer	summer	NOUN
geusb-8292	100	12	periods	period	NOUN
geusb-8292	100	13	.	.	PUNCT
geusb-8292	101	1	using	use	VERB
geusb-8292	101	2	alternative	alternative	ADJ
geusb-8292	101	3	loss	loss	NOUN
geusb-8292	101	4	functions	function	NOUN
geusb-8292	101	5	instead	instead	ADV
geusb-8292	101	6	of	of	ADP
geusb-8292	101	7	the	the	DET
geusb-8292	101	8	mse	mse	NOUN
geusb-8292	101	9	in	in	ADP
geusb-8292	101	10	the	the	DET
geusb-8292	101	11	lstm	lstm	NOUN
geusb-8292	101	12	training	training	NOUN
geusb-8292	101	13	may	may	AUX
geusb-8292	101	14	alleviate	alleviate	VERB
geusb-8292	101	15	this	this	DET
geusb-8292	101	16	problem	problem	NOUN
geusb-8292	101	17	.	.	PUNCT
geusb-8292	102	1	the	the	DET
geusb-8292	102	2	spatio	spatio	PROPN
geusb-8292	102	3	-	-	PUNCT
geusb-8292	102	4	temporal	temporal	ADJ
geusb-8292	102	5	split	split	NOUN
geusb-8292	102	6	-	-	PUNCT
geusb-8292	102	7	sample	sample	NOUN
geusb-8292	102	8	experiment	experiment	NOUN
geusb-8292	102	9	revealed	reveal	VERB
geusb-8292	102	10	that	that	SCONJ
geusb-8292	102	11	the	the	DET
geusb-8292	102	12	lstm	lstm	NOUN
geusb-8292	102	13	did	do	AUX
geusb-8292	102	14	not	not	PART
geusb-8292	102	15	generalise	generalise	VERB
geusb-8292	102	16	well	well	ADV
geusb-8292	102	17	to	to	ADP
geusb-8292	102	18	ungauged	ungauge	VERB
geusb-8292	102	19	basins	basin	NOUN
geusb-8292	102	20	.	.	PUNCT
geusb-8292	103	1	the	the	DET
geusb-8292	103	2	median	median	ADJ
geusb-8292	103	3	kge	kge	NOUN
geusb-8292	103	4	was	be	AUX
geusb-8292	103	5	0.69	0.69	NUM
geusb-8292	103	6	and	and	CCONJ
geusb-8292	103	7	comparable	comparable	ADJ
geusb-8292	103	8	with	with	ADP
geusb-8292	103	9	the	the	DET
geusb-8292	103	10	pbm	pbm	NOUN
geusb-8292	103	11	(	(	PUNCT
geusb-8292	103	12	kge	kge	NOUN
geusb-8292	103	13	=	=	NOUN
geusb-8292	103	14	0.73	0.73	NUM
geusb-8292	103	15	)	)	PUNCT
geusb-8292	103	16	,	,	PUNCT
geusb-8292	103	17	despite	despite	SCONJ
geusb-8292	103	18	poor	poor	ADJ
geusb-8292	103	19	kge	kge	ADJ
geusb-8292	103	20	scores	score	NOUN
geusb-8292	103	21	for	for	ADP
geusb-8292	103	22	the	the	DET
geusb-8292	103	23	lowest	low	ADJ
geusb-8292	103	24	20	20	NUM
geusb-8292	103	25	%	%	NOUN
geusb-8292	103	26	of	of	ADP
geusb-8292	103	27	the	the	DET
geusb-8292	103	28	cumulative	cumulative	ADJ
geusb-8292	103	29	density	density	NOUN
geusb-8292	103	30	function	function	NOUN
geusb-8292	103	31	.	.	PUNCT
geusb-8292	104	1	the	the	DET
geusb-8292	104	2	same	same	ADJ
geusb-8292	104	3	was	be	AUX
geusb-8292	104	4	evident	evident	ADJ
geusb-8292	104	5	for	for	ADP
geusb-8292	104	6	fbal	fbal	ADJ
geusb-8292	104	7	,	,	PUNCT
geusb-8292	104	8	where	where	SCONJ
geusb-8292	104	9	the	the	DET
geusb-8292	104	10	lowest	low	ADJ
geusb-8292	104	11	20	20	NUM
geusb-8292	104	12	%	%	NOUN
geusb-8292	104	13	performed	perform	VERB
geusb-8292	104	14	poorly	poorly	ADV
geusb-8292	104	15	with	with	ADP
geusb-8292	104	16	respect	respect	NOUN
geusb-8292	104	17	to	to	ADP
geusb-8292	104	18	the	the	DET
geusb-8292	104	19	pbm	pbm	NOUN
geusb-8292	104	20	.	.	PUNCT
geusb-8292	105	1	however	however	ADV
geusb-8292	105	2	,	,	PUNCT
geusb-8292	105	3	pre	pre	ADJ
geusb-8292	105	4	-	-	NOUN
geusb-8292	105	5	training	training	NOUN
geusb-8292	105	6	using	use	VERB
geusb-8292	105	7	pbm	pbm	NOUN
geusb-8292	105	8	data	datum	NOUN
geusb-8292	105	9	resulted	result	VERB
geusb-8292	105	10	in	in	ADP
geusb-8292	105	11	better	well	ADJ
geusb-8292	105	12	performance	performance	NOUN
geusb-8292	105	13	for	for	ADP
geusb-8292	105	14	ungauged	ungauged	ADJ
geusb-8292	105	15	basins	basin	NOUN
geusb-8292	105	16	,	,	PUNCT
geusb-8292	105	17	making	make	VERB
geusb-8292	105	18	them	they	PRON
geusb-8292	105	19	comparable	comparable	ADJ
geusb-8292	105	20	with	with	ADP
geusb-8292	105	21	the	the	DET
geusb-8292	105	22	pbm	pbm	NOUN
geusb-8292	105	23	.	.	PUNCT
geusb-8292	106	1	this	this	PRON
geusb-8292	106	2	emphasised	emphasise	VERB
geusb-8292	106	3	the	the	DET
geusb-8292	106	4	merit	merit	NOUN
geusb-8292	106	5	of	of	ADP
geusb-8292	106	6	pre	pre	NOUN
geusb-8292	106	7	-	-	NOUN
geusb-8292	106	8	training	training	NOUN
geusb-8292	106	9	.	.	PUNCT
geusb-8292	107	1	for	for	ADP
geusb-8292	107	2	the	the	DET
geusb-8292	107	3	spatio	spatio	PROPN
geusb-8292	107	4	-	-	PUNCT
geusb-8292	107	5	temporal	temporal	ADJ
geusb-8292	107	6	split	split	NOUN
geusb-8292	107	7	-	-	PUNCT
geusb-8292	107	8	sample	sample	NOUN
geusb-8292	107	9	experiment	experiment	NOUN
geusb-8292	107	10	,	,	PUNCT
geusb-8292	107	11	where	where	SCONJ
geusb-8292	107	12	information	information	NOUN
geusb-8292	107	13	was	be	AUX
geusb-8292	107	14	evidently	evidently	ADV
geusb-8292	107	15	missing	miss	VERB
geusb-8292	107	16	in	in	ADP
geusb-8292	107	17	the	the	DET
geusb-8292	107	18	training	training	NOUN
geusb-8292	107	19	data	datum	NOUN
geusb-8292	107	20	set	set	VERB
geusb-8292	107	21	,	,	PUNCT
geusb-8292	107	22	pre	pre	ADJ
geusb-8292	107	23	-	-	NOUN
geusb-8292	107	24	training	training	NOUN
geusb-8292	107	25	against	against	ADP
geusb-8292	107	26	pbm	pbm	NOUN
geusb-8292	107	27	data	datum	NOUN
geusb-8292	107	28	helped	help	VERB
geusb-8292	107	29	to	to	PART
geusb-8292	107	30	increase	increase	VERB
geusb-8292	107	31	performance	performance	NOUN
geusb-8292	107	32	.	.	PUNCT
geusb-8292	108	1	however	however	ADV
geusb-8292	108	2	,	,	PUNCT
geusb-8292	108	3	the	the	DET
geusb-8292	108	4	performance	performance	NOUN
geusb-8292	108	5	did	do	AUX
geusb-8292	108	6	not	not	PART
geusb-8292	108	7	change	change	VERB
geusb-8292	108	8	for	for	ADP
geusb-8292	108	9	the	the	DET
geusb-8292	108	10	temporal	temporal	ADJ
geusb-8292	108	11	split	split	NOUN
geusb-8292	108	12	-	-	PUNCT
geusb-8292	108	13	sample	sample	NOUN
geusb-8292	108	14	experiment	experiment	NOUN
geusb-8292	108	15	,	,	PUNCT
geusb-8292	108	16	where	where	SCONJ
geusb-8292	108	17	the	the	DET
geusb-8292	108	18	observations	observation	NOUN
geusb-8292	108	19	provided	provide	VERB
geusb-8292	108	20	enough	enough	ADJ
geusb-8292	108	21	information	information	NOUN
geusb-8292	108	22	.	.	PUNCT
geusb-8292	109	1	considering	consider	VERB
geusb-8292	109	2	kge	kge	NOUN
geusb-8292	109	3	for	for	ADP
geusb-8292	109	4	the	the	DET
geusb-8292	109	5	temporal	temporal	ADJ
geusb-8292	109	6	split	split	NOUN
geusb-8292	109	7	-	-	PUNCT
geusb-8292	109	8	sample	sample	NOUN
geusb-8292	109	9	experiment	experiment	NOUN
geusb-8292	109	10	,	,	PUNCT
geusb-8292	109	11	the	the	DET
geusb-8292	109	12	lstm	lstm	NOUN
geusb-8292	109	13	outperformed	outperform	VERB
geusb-8292	109	14	the	the	DET
geusb-8292	109	15	pbm	pbm	NOUN
geusb-8292	109	16	in	in	ADP
geusb-8292	109	17	80	80	NUM
geusb-8292	109	18	%	%	NOUN
geusb-8292	109	19	of	of	ADP
geusb-8292	109	20	catchments	catchment	NOUN
geusb-8292	109	21	.	.	PUNCT
geusb-8292	110	1	this	this	PRON
geusb-8292	110	2	fell	fall	VERB
geusb-8292	110	3	to	to	ADP
geusb-8292	110	4	44	44	NUM
geusb-8292	110	5	%	%	NOUN
geusb-8292	110	6	for	for	ADP
geusb-8292	110	7	the	the	DET
geusb-8292	110	8	spatio	spatio	PROPN
geusb-8292	110	9	-	-	PUNCT
geusb-8292	110	10	temporal	temporal	ADJ
geusb-8292	110	11	experiment	experiment	NOUN
geusb-8292	110	12	but	but	CCONJ
geusb-8292	110	13	could	could	AUX
geusb-8292	110	14	rise	rise	VERB
geusb-8292	110	15	to	to	ADP
geusb-8292	110	16	54	54	NUM
geusb-8292	110	17	%	%	NOUN
geusb-8292	110	18	through	through	ADP
geusb-8292	110	19	pre	pre	ADJ
geusb-8292	110	20	-	-	NOUN
geusb-8292	110	21	training	training	NOUN
geusb-8292	110	22	.	.	PUNCT
geusb-8292	111	1	considering	consider	VERB
geusb-8292	111	2	the	the	DET
geusb-8292	111	3	absolute	absolute	ADJ
geusb-8292	111	4	fbal	fbal	ADJ
geusb-8292	111	5	,	,	PUNCT
geusb-8292	111	6	68	68	NUM
geusb-8292	111	7	%	%	NOUN
geusb-8292	111	8	of	of	ADP
geusb-8292	111	9	the	the	DET
geusb-8292	111	10	catchments	catchment	NOUN
geusb-8292	111	11	were	be	AUX
geusb-8292	111	12	simulated	simulate	VERB
geusb-8292	111	13	more	more	ADV
geusb-8292	111	14	precisely	precisely	ADV
geusb-8292	111	15	by	by	ADP
geusb-8292	111	16	the	the	DET
geusb-8292	111	17	lstm	lstm	NOUN
geusb-8292	111	18	than	than	ADP
geusb-8292	111	19	by	by	ADP
geusb-8292	111	20	the	the	DET
geusb-8292	111	21	pbm	pbm	NOUN
geusb-8292	111	22	for	for	ADP
geusb-8292	111	23	the	the	DET
geusb-8292	111	24	temporal	temporal	ADJ
geusb-8292	111	25	split	split	NOUN
geusb-8292	111	26	-	-	PUNCT
geusb-8292	111	27	sample	sample	NOUN
geusb-8292	111	28	experiment	experiment	NOUN
geusb-8292	111	29	.	.	PUNCT
geusb-8292	112	1	for	for	ADP
geusb-8292	112	2	the	the	DET
geusb-8292	112	3	spatio	spatio	PROPN
geusb-8292	112	4	-	-	PUNCT
geusb-8292	112	5	temporal	temporal	ADJ
geusb-8292	112	6	split	split	NOUN
geusb-8292	112	7	-	-	PUNCT
geusb-8292	112	8	sample	sample	NOUN
geusb-8292	112	9	experiment	experiment	NOUN
geusb-8292	112	10	,	,	PUNCT
geusb-8292	112	11	this	this	PRON
geusb-8292	112	12	could	could	AUX
geusb-8292	112	13	be	be	AUX
geusb-8292	112	14	raised	raise	VERB
geusb-8292	112	15	slightly	slightly	ADV
geusb-8292	112	16	from	from	ADP
geusb-8292	112	17	44	44	NUM
geusb-8292	112	18	%	%	NOUN
geusb-8292	112	19	to	to	ADP
geusb-8292	112	20	49	49	NUM
geusb-8292	112	21	%	%	NOUN
geusb-8292	112	22	through	through	ADP
geusb-8292	112	23	pre	pre	ADJ
geusb-8292	112	24	-	-	NOUN
geusb-8292	112	25	training	training	NOUN
geusb-8292	112	26	.	.	PUNCT
geusb-8292	113	1	the	the	DET
geusb-8292	113	2	simulation	simulation	NOUN
geusb-8292	113	3	results	result	VERB
geusb-8292	113	4	for	for	ADP
geusb-8292	113	5	two	two	NUM
geusb-8292	113	6	selected	select	VERB
geusb-8292	113	7	catchments	catchment	NOUN
geusb-8292	113	8	for	for	ADP
geusb-8292	113	9	the	the	DET
geusb-8292	113	10	10	10	NUM
geusb-8292	113	11	-	-	PUNCT
geusb-8292	113	12	year	year	NOUN
geusb-8292	113	13	test	test	NOUN
geusb-8292	113	14	period	period	NOUN
geusb-8292	113	15	of	of	ADP
geusb-8292	113	16	the	the	DET
geusb-8292	113	17	temporal	temporal	ADJ
geusb-8292	113	18	and	and	CCONJ
geusb-8292	113	19	spatio	spatio	ADJ
geusb-8292	113	20	-	-	PUNCT
geusb-8292	113	21	temporal	temporal	ADJ
geusb-8292	113	22	split	split	NOUN
geusb-8292	113	23	-	-	PUNCT
geusb-8292	113	24	sample	sample	NOUN
geusb-8292	113	25	experiments	experiment	NOUN
geusb-8292	113	26	are	be	AUX
geusb-8292	113	27	presented	present	VERB
geusb-8292	113	28	in	in	ADP
geusb-8292	113	29	figure	figure	NOUN
geusb-8292	113	30	 	 	SPACE
geusb-8292	113	31	4	4	NUM
geusb-8292	113	32	.	.	PUNCT
geusb-8292	114	1	in	in	ADP
geusb-8292	114	2	the	the	DET
geusb-8292	114	3	first	first	ADJ
geusb-8292	114	4	catchment	catchment	NOUN
geusb-8292	114	5	(	(	PUNCT
geusb-8292	114	6	260080	260080	NUM
geusb-8292	114	7	)	)	PUNCT
geusb-8292	114	8	,	,	PUNCT
geusb-8292	114	9	the	the	DET
geusb-8292	114	10	performance	performance	NOUN
geusb-8292	114	11	between	between	ADP
geusb-8292	114	12	the	the	DET
geusb-8292	114	13	lstms	lstms	NOUN
geusb-8292	114	14	and	and	CCONJ
geusb-8292	114	15	the	the	DET
geusb-8292	114	16	pbm	pbm	NOUN
geusb-8292	114	17	was	be	AUX
geusb-8292	114	18	very	very	ADV
geusb-8292	114	19	comparable	comparable	ADJ
geusb-8292	114	20	with	with	ADP
geusb-8292	114	21	a	a	DET
geusb-8292	114	22	kge	kge	ADJ
geusb-8292	114	23	score	score	NOUN
geusb-8292	114	24	of	of	ADP
geusb-8292	114	25	0.8	0.8	NUM
geusb-8292	114	26	(	(	PUNCT
geusb-8292	114	27	pbm	pbm	NOUN
geusb-8292	114	28	)	)	PUNCT
geusb-8292	114	29	and	and	CCONJ
geusb-8292	114	30	0.78	0.78	NUM
geusb-8292	114	31	(	(	PUNCT
geusb-8292	114	32	lstm	lstm	NOUN
geusb-8292	114	33	)	)	PUNCT
geusb-8292	114	34	for	for	ADP
geusb-8292	114	35	the	the	DET
geusb-8292	114	36	temporal	temporal	ADJ
geusb-8292	114	37	split	split	NOUN
geusb-8292	114	38	-	-	PUNCT
geusb-8292	114	39	sample	sample	NOUN
geusb-8292	114	40	experiment	experiment	NOUN
geusb-8292	114	41	.	.	PUNCT
geusb-8292	115	1	the	the	DET
geusb-8292	115	2	performance	performance	NOUN
geusb-8292	115	3	dropped	drop	VERB
geusb-8292	115	4	to	to	ADP
geusb-8292	115	5	0.66	0.66	NUM
geusb-8292	115	6	in	in	ADP
geusb-8292	115	7	the	the	DET
geusb-8292	115	8	spatio	spatio	PROPN
geusb-8292	115	9	-	-	PUNCT
geusb-8292	115	10	temporal	temporal	ADJ
geusb-8292	115	11	split	split	NOUN
geusb-8292	115	12	-	-	PUNCT
geusb-8292	115	13	sample	sample	NOUN
geusb-8292	115	14	experiment	experiment	NOUN
geusb-8292	115	15	but	but	CCONJ
geusb-8292	115	16	increased	increase	VERB
geusb-8292	115	17	to	to	ADP
geusb-8292	115	18	0.8	0.8	NUM
geusb-8292	115	19	through	through	ADP
geusb-8292	115	20	pre	pre	ADJ
geusb-8292	115	21	-	-	NOUN
geusb-8292	115	22	training	training	NOUN
geusb-8292	115	23	.	.	PUNCT
geusb-8292	116	1	the	the	DET
geusb-8292	116	2	second	second	ADJ
geusb-8292	116	3	catchment	catchment	NOUN
geusb-8292	116	4	(	(	PUNCT
geusb-8292	116	5	420022	420022	NUM
geusb-8292	116	6	)	)	PUNCT
geusb-8292	116	7	showed	show	VERB
geusb-8292	116	8	a	a	DET
geusb-8292	116	9	very	very	ADV
geusb-8292	116	10	poor	poor	ADJ
geusb-8292	116	11	performance	performance	NOUN
geusb-8292	116	12	for	for	ADP
geusb-8292	116	13	the	the	DET
geusb-8292	116	14	spatio	spatio	PROPN
geusb-8292	116	15	-	-	PUNCT
geusb-8292	116	16	temporal	temporal	ADJ
geusb-8292	116	17	split	split	NOUN
geusb-8292	116	18	-	-	PUNCT
geusb-8292	116	19	sample	sample	NOUN
geusb-8292	116	20	experiment	experiment	NOUN
geusb-8292	116	21	(	(	PUNCT
geusb-8292	116	22	kge	kge	NOUN
geusb-8292	116	23	=	=	SYM
geusb-8292	116	24	–	–	PUNCT
geusb-8292	116	25	0.12	0.12	NUM
geusb-8292	116	26	)	)	PUNCT
geusb-8292	116	27	.	.	PUNCT
geusb-8292	117	1	however	however	ADV
geusb-8292	117	2	,	,	PUNCT
geusb-8292	117	3	kge	kge	PROPN
geusb-8292	117	4	improved	improve	VERB
geusb-8292	117	5	to	to	ADP
geusb-8292	117	6	0.78	0.78	NUM
geusb-8292	117	7	through	through	ADP
geusb-8292	117	8	pre	pre	ADJ
geusb-8292	117	9	-	-	NOUN
geusb-8292	117	10	training	training	NOUN
geusb-8292	117	11	and	and	CCONJ
geusb-8292	117	12	thus	thus	ADV
geusb-8292	117	13	became	become	VERB
geusb-8292	117	14	comparable	comparable	ADJ
geusb-8292	117	15	with	with	ADP
geusb-8292	117	16	the	the	DET
geusb-8292	117	17	pbm	pbm	NOUN
geusb-8292	117	18	(	(	PUNCT
geusb-8292	117	19	kge	kge	NOUN
geusb-8292	117	20	=	=	NOUN
geusb-8292	117	21	0.75	0.75	NUM
geusb-8292	117	22	)	)	PUNCT
geusb-8292	117	23	.	.	PUNCT
geusb-8292	118	1	in	in	ADP
geusb-8292	118	2	other	other	ADJ
geusb-8292	118	3	words	word	NOUN
geusb-8292	118	4	,	,	PUNCT
geusb-8292	118	5	the	the	DET
geusb-8292	118	6	spatio	spatio	PROPN
geusb-8292	118	7	-	-	PUNCT
geusb-8292	118	8	temporal	temporal	ADJ
geusb-8292	118	9	split	split	NOUN
geusb-8292	118	10	-	-	PUNCT
geusb-8292	118	11	sample	sample	NOUN
geusb-8292	118	12	experiment	experiment	NOUN
geusb-8292	118	13	for	for	ADP
geusb-8292	118	14	catchment	catchment	NOUN
geusb-8292	118	15	260	260	NUM
geusb-8292	118	16	080	080	NUM
geusb-8292	118	17	could	could	AUX
geusb-8292	118	18	be	be	AUX
geusb-8292	118	19	simulated	simulate	VERB
geusb-8292	118	20	accurately	accurately	ADV
geusb-8292	118	21	without	without	ADP
geusb-8292	118	22	pre	pre	ADJ
geusb-8292	118	23	-	-	NOUN
geusb-8292	118	24	training	training	NOUN
geusb-8292	118	25	,	,	PUNCT
geusb-8292	118	26	because	because	SCONJ
geusb-8292	118	27	the	the	DET
geusb-8292	118	28	lstm	lstm	NOUN
geusb-8292	118	29	could	could	AUX
geusb-8292	118	30	learn	learn	VERB
geusb-8292	118	31	the	the	DET
geusb-8292	118	32	runoff	runoff	NOUN
geusb-8292	118	33	behaviour	behaviour	NOUN
geusb-8292	118	34	of	of	ADP
geusb-8292	118	35	that	that	DET
geusb-8292	118	36	catchment	catchment	NOUN
geusb-8292	118	37	using	use	VERB
geusb-8292	118	38	data	datum	NOUN
geusb-8292	118	39	from	from	ADP
geusb-8292	118	40	similar	similar	ADJ
geusb-8292	118	41	neighbouring	neighbouring	ADJ
geusb-8292	118	42	or	or	CCONJ
geusb-8292	118	43	upstream	upstream	ADJ
geusb-8292	118	44	catchments	catchment	NOUN
geusb-8292	118	45	.	.	PUNCT
geusb-8292	119	1	however	however	ADV
geusb-8292	119	2	,	,	PUNCT
geusb-8292	119	3	the	the	DET
geusb-8292	119	4	runoff	runoff	NOUN
geusb-8292	119	5	behaviour	behaviour	NOUN
geusb-8292	119	6	of	of	ADP
geusb-8292	119	7	catchment	catchment	NOUN
geusb-8292	119	8	420022	420022	NUM
geusb-8292	119	9	could	could	AUX
geusb-8292	119	10	not	not	PART
geusb-8292	119	11	be	be	AUX
geusb-8292	119	12	learned	learn	VERB
geusb-8292	119	13	without	without	ADP
geusb-8292	119	14	data	datum	NOUN
geusb-8292	119	15	from	from	ADP
geusb-8292	119	16	the	the	DET
geusb-8292	119	17	same	same	ADJ
geusb-8292	119	18	catchment	catchment	NOUN
geusb-8292	119	19	.	.	PUNCT
geusb-8292	120	1	nevertheless	nevertheless	ADV
geusb-8292	120	2	,	,	PUNCT
geusb-8292	120	3	pre	pre	ADJ
geusb-8292	120	4	-	-	NOUN
geusb-8292	120	5	training	training	NOUN
geusb-8292	120	6	using	use	VERB
geusb-8292	120	7	pbm	pbm	NOUN
geusb-8292	120	8	data	datum	NOUN
geusb-8292	120	9	helped	help	VERB
geusb-8292	120	10	to	to	PART
geusb-8292	120	11	increase	increase	VERB
geusb-8292	120	12	the	the	DET
geusb-8292	120	13	performance	performance	NOUN
geusb-8292	120	14	of	of	ADP
geusb-8292	120	15	the	the	DET
geusb-8292	120	16	lstm	lstm	PROPN
geusb-8292	120	17	.	.	PUNCT
geusb-8292	121	1	figure	figure	VERB
geusb-8292	121	2	4	4	NUM
geusb-8292	121	3	presents	present	NOUN
geusb-8292	121	4	results	result	NOUN
geusb-8292	121	5	for	for	ADP
geusb-8292	121	6	a	a	DET
geusb-8292	121	7	large	large	ADJ
geusb-8292	121	8	(	(	PUNCT
geusb-8292	121	9	260080	260080	NUM
geusb-8292	121	10	,	,	PUNCT
geusb-8292	121	11	323	323	NUM
geusb-8292	121	12	km2	km2	NOUN
geusb-8292	121	13	)	)	PUNCT
geusb-8292	121	14	and	and	CCONJ
geusb-8292	121	15	a	a	DET
geusb-8292	121	16	small	small	ADJ
geusb-8292	121	17	(	(	PUNCT
geusb-8292	121	18	420022	420022	NUM
geusb-8292	121	19	,	,	PUNCT
geusb-8292	121	20	44	44	NUM
geusb-8292	121	21	  	  	SPACE
geusb-8292	121	22	km2	km2	NOUN
geusb-8292	121	23	)	)	PUNCT
geusb-8292	121	24	catchment	catchment	NOUN
geusb-8292	121	25	.	.	PUNCT
geusb-8292	122	1	fig	fig	NOUN
geusb-8292	122	2	.	.	PUNCT
geusb-8292	123	1	3	3	NUM
geusb-8292	123	2	 	 	SPACE
geusb-8292	123	3	cumulative	cumulative	ADJ
geusb-8292	123	4	density	density	NOUN
geusb-8292	123	5	functions	function	NOUN
geusb-8292	123	6	for	for	ADP
geusb-8292	123	7	kge	kge	NOUN
geusb-8292	123	8	and	and	CCONJ
geusb-8292	123	9	fbal	fbal	ADJ
geusb-8292	123	10	in	in	ADP
geusb-8292	123	11	the	the	DET
geusb-8292	123	12	test	test	NOUN
geusb-8292	123	13	period	period	NOUN
geusb-8292	123	14	for	for	ADP
geusb-8292	123	15	runoff	runoff	NOUN
geusb-8292	123	16	simulated	simulate	VERB
geusb-8292	123	17	by	by	ADP
geusb-8292	123	18	the	the	DET
geusb-8292	123	19	dk	dk	PROPN
geusb-8292	123	20	-	-	PUNCT
geusb-8292	123	21	model	model	NOUN
geusb-8292	123	22	(	(	PUNCT
geusb-8292	123	23	pbm	pbm	NOUN
geusb-8292	123	24	)	)	PUNCT
geusb-8292	123	25	,	,	PUNCT
geusb-8292	123	26	the	the	DET
geusb-8292	123	27	lstm	lstm	PROPN
geusb-8292	123	28	model	model	NOUN
geusb-8292	123	29	and	and	CCONJ
geusb-8292	123	30	the	the	DET
geusb-8292	123	31	pre	pre	ADJ
geusb-8292	123	32	-	-	ADJ
geusb-8292	123	33	trained	train	VERB
geusb-8292	123	34	lstm	lstm	NOUN
geusb-8292	123	35	model	model	NOUN
geusb-8292	123	36	(	(	PUNCT
geusb-8292	123	37	prtrn	prtrn	PROPN
geusb-8292	123	38	lstm	lstm	PROPN
geusb-8292	123	39	)	)	PUNCT
geusb-8292	123	40	.	.	PUNCT
geusb-8292	124	1	the	the	DET
geusb-8292	124	2	temporal	temporal	ADJ
geusb-8292	124	3	split	split	NOUN
geusb-8292	124	4	-	-	PUNCT
geusb-8292	124	5	sample	sample	NOUN
geusb-8292	124	6	experiment	experiment	NOUN
geusb-8292	124	7	is	be	AUX
geusb-8292	124	8	depicted	depict	VERB
geusb-8292	124	9	in	in	ADP
geusb-8292	124	10	the	the	DET
geusb-8292	124	11	left	left	ADJ
geusb-8292	124	12	panels	panel	NOUN
geusb-8292	124	13	and	and	CCONJ
geusb-8292	124	14	the	the	DET
geusb-8292	124	15	spatio	spatio	PROPN
geusb-8292	124	16	-	-	PUNCT
geusb-8292	124	17	temporal	temporal	ADJ
geusb-8292	124	18	split	split	NOUN
geusb-8292	124	19	-	-	PUNCT
geusb-8292	124	20	sample	sample	NOUN
geusb-8292	124	21	experiment	experiment	NOUN
geusb-8292	124	22	in	in	ADP
geusb-8292	124	23	the	the	DET
geusb-8292	124	24	right	right	ADJ
geusb-8292	124	25	panels	panel	NOUN
geusb-8292	124	26	.	.	PUNCT
geusb-8292	125	1	the	the	DET
geusb-8292	125	2	optimal	optimal	ADJ
geusb-8292	125	3	value	value	NOUN
geusb-8292	125	4	of	of	ADP
geusb-8292	125	5	fbal	fbal	PROPN
geusb-8292	125	6	is	be	AUX
geusb-8292	125	7	highlighted	highlight	VERB
geusb-8292	125	8	with	with	ADP
geusb-8292	125	9	a	a	DET
geusb-8292	125	10	dashed	dash	VERB
geusb-8292	125	11	horizontal	horizontal	ADJ
geusb-8292	125	12	line	line	NOUN
geusb-8292	125	13	.	.	PUNCT
geusb-8292	126	1	the	the	DET
geusb-8292	126	2	lstm	lstm	ADJ
geusb-8292	126	3	predictions	prediction	NOUN
geusb-8292	126	4	are	be	AUX
geusb-8292	126	5	based	base	VERB
geusb-8292	126	6	on	on	ADP
geusb-8292	126	7	the	the	DET
geusb-8292	126	8	mean	mean	NOUN
geusb-8292	126	9	of	of	ADP
geusb-8292	126	10	5	5	NUM
geusb-8292	126	11	seeds	seed	NOUN
geusb-8292	126	12	,	,	PUNCT
geusb-8292	126	13	indicated	indicate	VERB
geusb-8292	126	14	here	here	ADV
geusb-8292	126	15	with	with	ADP
geusb-8292	126	16	transparent	transparent	ADJ
geusb-8292	126	17	coloured	coloured	ADJ
geusb-8292	126	18	lines	line	NOUN
geusb-8292	126	19	.	.	PUNCT
geusb-8292	127	1	spatio	spatio	PROPN
geusb-8292	127	2	-	-	PUNCT
geusb-8292	127	3	temporal	temporal	ADJ
geusb-8292	127	4	split	split	NOUN
geusb-8292	127	5	-	-	PUNCT
geusb-8292	127	6	sampletemporal	sampletemporal	ADJ
geusb-8292	127	7	split	split	NOUN
geusb-8292	127	8	-	-	PUNCT
geusb-8292	127	9	sample	sample	NOUN
geusb-8292	127	10	probability	probability	NOUN
geusb-8292	127	11	probability	probability	NOUN
geusb-8292	127	12	lstm	lstm	NOUN
geusb-8292	127	13	pbm	pbm	NOUN
geusb-8292	128	1	fb	fb	NOUN
geusb-8292	128	2	al	al	PROPN
geusb-8292	128	3	k	k	PROPN
geusb-8292	128	4	g	g	PROPN
geusb-8292	128	5	e	e	PROPN
geusb-8292	128	6	prtrn	prtrn	VERB
geusb-8292	128	7	lstm	lstm	NOUN
geusb-8292	128	8	–	–	PUNCT
geusb-8292	128	9	0.5	0.5	NUM
geusb-8292	128	10	0.0	0.0	NUM
geusb-8292	128	11	0.5	0.5	NUM
geusb-8292	128	12	–	–	PUNCT
geusb-8292	128	13	0.5	0.5	NUM
geusb-8292	128	14	0.0	0.0	NUM
geusb-8292	128	15	0.5	0.5	NUM
geusb-8292	128	16	1.0	1.0	NUM
geusb-8292	128	17	0.0	0.0	NUM
geusb-8292	128	18	0.2	0.2	NUM
geusb-8292	128	19	0.4	0.4	NUM
geusb-8292	128	20	0.6	0.6	NUM
geusb-8292	128	21	0.8	0.8	NUM
geusb-8292	128	22	1.0	1.0	NUM
geusb-8292	128	23	0.0	0.0	NUM
geusb-8292	128	24	0.2	0.2	NUM
geusb-8292	128	25	0.4	0.4	NUM
geusb-8292	128	26	0.6	0.6	NUM
geusb-8292	128	27	0.8	0.8	NUM
geusb-8292	128	28	1.0	1.0	NUM
geusb-8292	128	29	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	128	30	http://www.geusbulletin.org	http://www.geusbulletin.org	PROPN
geusb-8292	128	31	koch	koch	PROPN
geusb-8292	128	32	&	&	CCONJ
geusb-8292	128	33	schneider	schneider	PROPN
geusb-8292	128	34	2022	2022	NUM
geusb-8292	128	35	:	:	PUNCT
geusb-8292	128	36	geus	geus	NOUN
geusb-8292	128	37	bulletin	bulletin	NOUN
geusb-8292	128	38	49	49	NUM
geusb-8292	128	39	.	.	PUNCT
geusb-8292	128	40	8292	8292	NUM
geusb-8292	128	41	.	.	PUNCT
geusb-8292	129	1	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	129	2	5	5	NUM
geusb-8292	129	3	of	of	ADP
geusb-8292	129	4	7	7	NUM
geusb-8292	129	5	www.geusbul	www.geusbul	NOUN
geusb-8292	129	6	let	let	VERB
geusb-8292	129	7	in.org	in.org	ADJ
geusb-8292	129	8	smaller	small	ADJ
geusb-8292	129	9	catchments	catchment	NOUN
geusb-8292	129	10	generally	generally	ADV
geusb-8292	129	11	perform	perform	VERB
geusb-8292	129	12	less	less	ADV
geusb-8292	129	13	well	well	ADV
geusb-8292	129	14	due	due	ADP
geusb-8292	129	15	to	to	ADP
geusb-8292	129	16	the	the	DET
geusb-8292	129	17	stronger	strong	ADJ
geusb-8292	129	18	imprint	imprint	NOUN
geusb-8292	129	19	of	of	ADP
geusb-8292	129	20	anthropogenic	anthropogenic	ADJ
geusb-8292	129	21	activities	activity	NOUN
geusb-8292	129	22	(	(	PUNCT
geusb-8292	129	23	drainage	drainage	NOUN
geusb-8292	129	24	and	and	CCONJ
geusb-8292	129	25	abstraction	abstraction	NOUN
geusb-8292	129	26	)	)	PUNCT
geusb-8292	129	27	and	and	CCONJ
geusb-8292	129	28	an	an	DET
geusb-8292	129	29	increased	increase	VERB
geusb-8292	129	30	uncertainty	uncertainty	NOUN
geusb-8292	129	31	of	of	ADP
geusb-8292	129	32	precipitation	precipitation	NOUN
geusb-8292	129	33	data	datum	NOUN
geusb-8292	129	34	for	for	ADP
geusb-8292	129	35	smaller	small	ADJ
geusb-8292	129	36	catchments	catchment	NOUN
geusb-8292	129	37	.	.	PUNCT
geusb-8292	130	1	the	the	DET
geusb-8292	130	2	superior	superior	ADJ
geusb-8292	130	3	performance	performance	NOUN
geusb-8292	130	4	of	of	ADP
geusb-8292	130	5	lstms	lstms	NOUN
geusb-8292	130	6	over	over	ADP
geusb-8292	130	7	conceptual	conceptual	ADJ
geusb-8292	130	8	rainfall	rainfall	NOUN
geusb-8292	130	9	-	-	PUNCT
geusb-8292	130	10	runoff	runoff	NOUN
geusb-8292	130	11	models	model	NOUN
geusb-8292	130	12	or	or	CCONJ
geusb-8292	130	13	hydrological	hydrological	ADJ
geusb-8292	130	14	pbms	pbm	NOUN
geusb-8292	130	15	was	be	AUX
geusb-8292	130	16	demonstrated	demonstrate	VERB
geusb-8292	130	17	for	for	ADP
geusb-8292	130	18	temporal	temporal	ADJ
geusb-8292	130	19	split	split	NOUN
geusb-8292	130	20	-	-	PUNCT
geusb-8292	130	21	sample	sample	NOUN
geusb-8292	130	22	experiments	experiment	NOUN
geusb-8292	130	23	by	by	ADP
geusb-8292	130	24	kratzert	kratzert	PROPN
geusb-8292	130	25	et	et	PROPN
geusb-8292	130	26	al	al	PROPN
geusb-8292	130	27	.	.	PUNCT
geusb-8292	131	1	(	(	PUNCT
geusb-8292	131	2	2018	2018	NUM
geusb-8292	131	3	)	)	PUNCT
geusb-8292	131	4	,	,	PUNCT
geusb-8292	131	5	gauch	gauch	NOUN
geusb-8292	131	6	et	et	PROPN
geusb-8292	131	7	al	al	PROPN
geusb-8292	131	8	.	.	PROPN
geusb-8292	132	1	(	(	PUNCT
geusb-8292	132	2	2021	2021	NUM
geusb-8292	132	3	)	)	PUNCT
geusb-8292	132	4	,	,	PUNCT
geusb-8292	132	5	mai	mai	PROPN
geusb-8292	132	6	et	et	PROPN
geusb-8292	132	7	al	al	PROPN
geusb-8292	132	8	.	.	PROPN
geusb-8292	133	1	(	(	PUNCT
geusb-8292	133	2	2021	2021	NUM
geusb-8292	133	3	)	)	PUNCT
geusb-8292	133	4	and	and	CCONJ
geusb-8292	133	5	others	other	NOUN
geusb-8292	133	6	;	;	PUNCT
geusb-8292	133	7	however	however	ADV
geusb-8292	133	8	,	,	PUNCT
geusb-8292	133	9	conclusions	conclusion	NOUN
geusb-8292	133	10	of	of	ADP
geusb-8292	133	11	the	the	DET
geusb-8292	133	12	spatial	spatial	ADJ
geusb-8292	133	13	transferability	transferability	NOUN
geusb-8292	133	14	to	to	ADP
geusb-8292	133	15	ungauged	ungauge	VERB
geusb-8292	133	16	basins	basin	NOUN
geusb-8292	133	17	are	be	AUX
geusb-8292	133	18	disputed	dispute	VERB
geusb-8292	133	19	.	.	PUNCT
geusb-8292	134	1	kratzert	kratzert	PROPN
geusb-8292	134	2	et	et	PROPN
geusb-8292	134	3	 	 	SPACE
geusb-8292	134	4	al	al	PROPN
geusb-8292	134	5	.	.	PROPN
geusb-8292	134	6	(	(	PUNCT
geusb-8292	134	7	2019a	2019a	NUM
geusb-8292	134	8	)	)	PUNCT
geusb-8292	134	9	reported	report	VERB
geusb-8292	134	10	a	a	DET
geusb-8292	134	11	superior	superior	ADJ
geusb-8292	134	12	performance	performance	NOUN
geusb-8292	134	13	of	of	ADP
geusb-8292	134	14	lstm	lstm	NOUN
geusb-8292	134	15	for	for	ADP
geusb-8292	134	16	a	a	DET
geusb-8292	134	17	small	small	ADJ
geusb-8292	134	18	spatial	spatial	ADJ
geusb-8292	134	19	hold	hold	VERB
geusb-8292	134	20	-	-	PUNCT
geusb-8292	134	21	out	out	NOUN
geusb-8292	134	22	(	(	PUNCT
geusb-8292	134	23	8	8	NUM
geusb-8292	134	24	%	%	NOUN
geusb-8292	134	25	)	)	PUNCT
geusb-8292	134	26	,	,	PUNCT
geusb-8292	134	27	whereas	whereas	SCONJ
geusb-8292	134	28	mai	mai	PROPN
geusb-8292	134	29	et	et	PROPN
geusb-8292	134	30	al	al	PROPN
geusb-8292	134	31	.	.	PROPN
geusb-8292	135	1	(	(	PUNCT
geusb-8292	135	2	2021	2021	NUM
geusb-8292	135	3	)	)	PUNCT
geusb-8292	135	4	found	find	VERB
geusb-8292	135	5	a	a	DET
geusb-8292	135	6	worse	bad	ADJ
geusb-8292	135	7	performance	performance	NOUN
geusb-8292	135	8	for	for	ADP
geusb-8292	135	9	a	a	DET
geusb-8292	135	10	more	more	ADV
geusb-8292	135	11	systematic	systematic	ADJ
geusb-8292	135	12	spatial	spatial	ADJ
geusb-8292	135	13	hold	hold	NOUN
geusb-8292	135	14	-	-	PUNCT
geusb-8292	135	15	out	out	NOUN
geusb-8292	135	16	.	.	PUNCT
geusb-8292	136	1	loss	loss	NOUN
geusb-8292	136	2	function	function	NOUN
geusb-8292	136	3	plots	plot	NOUN
geusb-8292	136	4	are	be	AUX
geusb-8292	136	5	presented	present	VERB
geusb-8292	136	6	in	in	ADP
geusb-8292	136	7	supplementary	supplementary	ADJ
geusb-8292	136	8	file	file	NOUN
geusb-8292	136	9	s1	s1	NOUN
geusb-8292	136	10	to	to	PART
geusb-8292	136	11	elucidate	elucidate	VERB
geusb-8292	136	12	the	the	DET
geusb-8292	136	13	training	training	NOUN
geusb-8292	136	14	of	of	ADP
geusb-8292	136	15	the	the	DET
geusb-8292	136	16	applied	apply	VERB
geusb-8292	136	17	modelling	modelling	NOUN
geusb-8292	136	18	experiments	experiment	NOUN
geusb-8292	136	19	in	in	ADP
geusb-8292	136	20	more	more	ADJ
geusb-8292	136	21	detail	detail	NOUN
geusb-8292	136	22	.	.	PUNCT
geusb-8292	137	1	the	the	DET
geusb-8292	137	2	data	datum	NOUN
geusb-8292	137	3	generally	generally	ADV
geusb-8292	137	4	support	support	VERB
geusb-8292	137	5	the	the	DET
geusb-8292	137	6	chosen	choose	VERB
geusb-8292	137	7	hyperparameter	hyperparameter	NOUN
geusb-8292	137	8	values	value	NOUN
geusb-8292	137	9	and	and	CCONJ
geusb-8292	137	10	number	number	NOUN
geusb-8292	137	11	of	of	ADP
geusb-8292	137	12	training	training	NOUN
geusb-8292	137	13	epochs	epoch	NOUN
geusb-8292	137	14	.	.	PUNCT
geusb-8292	138	1	to	to	ADP
geusb-8292	138	2	our	our	PRON
geusb-8292	138	3	knowledge	knowledge	NOUN
geusb-8292	138	4	,	,	PUNCT
geusb-8292	138	5	this	this	PRON
geusb-8292	138	6	is	be	AUX
geusb-8292	138	7	the	the	DET
geusb-8292	138	8	first	first	ADJ
geusb-8292	138	9	study	study	NOUN
geusb-8292	138	10	that	that	PRON
geusb-8292	138	11	demonstrates	demonstrate	VERB
geusb-8292	138	12	the	the	DET
geusb-8292	138	13	merits	merit	NOUN
geusb-8292	138	14	of	of	ADP
geusb-8292	138	15	pre	pre	NOUN
geusb-8292	138	16	-	-	NOUN
geusb-8292	138	17	training	training	NOUN
geusb-8292	138	18	against	against	ADP
geusb-8292	138	19	pbm	pbm	NOUN
geusb-8292	138	20	simulation	simulation	NOUN
geusb-8292	138	21	data	datum	NOUN
geusb-8292	138	22	for	for	ADP
geusb-8292	138	23	runoff	runoff	NOUN
geusb-8292	138	24	modelling	modelling	NOUN
geusb-8292	138	25	in	in	ADP
geusb-8292	138	26	the	the	DET
geusb-8292	138	27	context	context	NOUN
geusb-8292	138	28	of	of	ADP
geusb-8292	138	29	knowledge	knowledge	NOUN
geusb-8292	138	30	-	-	PUNCT
geusb-8292	138	31	guided	guide	VERB
geusb-8292	138	32	ml	ml	NOUN
geusb-8292	138	33	.	.	PUNCT
geusb-8292	139	1	in	in	ADP
geusb-8292	139	2	a	a	DET
geusb-8292	139	3	related	related	ADJ
geusb-8292	139	4	study	study	NOUN
geusb-8292	139	5	,	,	PUNCT
geusb-8292	139	6	pre	pre	ADJ
geusb-8292	139	7	-	-	NOUN
geusb-8292	139	8	training	training	NOUN
geusb-8292	139	9	using	use	VERB
geusb-8292	139	10	pbm	pbm	NOUN
geusb-8292	139	11	data	datum	NOUN
geusb-8292	139	12	was	be	AUX
geusb-8292	139	13	found	find	VERB
geusb-8292	139	14	to	to	PART
geusb-8292	139	15	be	be	AUX
geusb-8292	139	16	beneficial	beneficial	ADJ
geusb-8292	139	17	for	for	ADP
geusb-8292	139	18	the	the	DET
geusb-8292	139	19	modelling	modelling	NOUN
geusb-8292	139	20	of	of	ADP
geusb-8292	139	21	lake	lake	NOUN
geusb-8292	139	22	-	-	PUNCT
geusb-8292	139	23	water	water	NOUN
geusb-8292	139	24	temperature	temperature	NOUN
geusb-8292	139	25	(	(	PUNCT
geusb-8292	139	26	read	read	VERB
geusb-8292	139	27	et	et	PROPN
geusb-8292	139	28	al	al	PROPN
geusb-8292	139	29	.	.	PROPN
geusb-8292	139	30	2019	2019	NUM
geusb-8292	139	31	)	)	PUNCT
geusb-8292	139	32	.	.	PUNCT
geusb-8292	140	1	for	for	ADP
geusb-8292	140	2	rainfall	rainfall	NOUN
geusb-8292	140	3	-	-	PUNCT
geusb-8292	140	4	runoff	runoff	NOUN
geusb-8292	140	5	modelling	modelling	NOUN
geusb-8292	140	6	,	,	PUNCT
geusb-8292	140	7	pre	pre	ADJ
geusb-8292	140	8	-	-	NOUN
geusb-8292	140	9	training	training	NOUN
geusb-8292	140	10	has	have	AUX
geusb-8292	140	11	so	so	ADV
geusb-8292	140	12	far	far	ADV
geusb-8292	140	13	been	be	AUX
geusb-8292	140	14	found	find	VERB
geusb-8292	140	15	to	to	PART
geusb-8292	140	16	be	be	AUX
geusb-8292	140	17	suitable	suitable	ADJ
geusb-8292	140	18	for	for	ADP
geusb-8292	140	19	transferring	transfer	VERB
geusb-8292	140	20	trained	train	VERB
geusb-8292	140	21	lstms	lstms	NOUN
geusb-8292	140	22	from	from	ADP
geusb-8292	140	23	one	one	NUM
geusb-8292	140	24	geographical	geographical	ADJ
geusb-8292	140	25	region	region	NOUN
geusb-8292	140	26	to	to	ADP
geusb-8292	140	27	another	another	PRON
geusb-8292	140	28	(	(	PUNCT
geusb-8292	140	29	ma	ma	PROPN
geusb-8292	140	30	et	et	PROPN
geusb-8292	140	31	al	al	PROPN
geusb-8292	140	32	.	.	PROPN
geusb-8292	140	33	2021	2021	NUM
geusb-8292	140	34	)	)	PUNCT
geusb-8292	140	35	.	.	PUNCT
geusb-8292	141	1	we	we	PRON
geusb-8292	141	2	have	have	AUX
geusb-8292	141	3	shown	show	VERB
geusb-8292	141	4	that	that	SCONJ
geusb-8292	141	5	pre	pre	ADJ
geusb-8292	141	6	-	-	NOUN
geusb-8292	141	7	training	training	NOUN
geusb-8292	141	8	using	use	VERB
geusb-8292	141	9	pbm	pbm	NOUN
geusb-8292	141	10	data	datum	NOUN
geusb-8292	141	11	offers	offer	VERB
geusb-8292	141	12	great	great	ADJ
geusb-8292	141	13	potential	potential	NOUN
geusb-8292	141	14	to	to	PART
geusb-8292	141	15	initialise	initialise	VERB
geusb-8292	141	16	the	the	DET
geusb-8292	141	17	lstm	lstm	NOUN
geusb-8292	141	18	with	with	ADP
geusb-8292	141	19	diverse	diverse	ADJ
geusb-8292	141	20	runoff	runoff	NOUN
geusb-8292	141	21	behaviour	behaviour	NOUN
geusb-8292	141	22	.	.	PUNCT
geusb-8292	142	1	here	here	ADV
geusb-8292	142	2	,	,	PUNCT
geusb-8292	142	3	we	we	PRON
geusb-8292	142	4	constrained	constrain	VERB
geusb-8292	142	5	only	only	ADV
geusb-8292	142	6	the	the	DET
geusb-8292	142	7	pre	pre	NOUN
geusb-8292	142	8	-	-	NOUN
geusb-8292	142	9	training	training	NOUN
geusb-8292	142	10	to	to	ADP
geusb-8292	142	11	the	the	DET
geusb-8292	142	12	same	same	ADJ
geusb-8292	142	13	catchments	catchment	NOUN
geusb-8292	142	14	and	and	CCONJ
geusb-8292	142	15	time	time	NOUN
geusb-8292	142	16	;	;	PUNCT
geusb-8292	142	17	however	however	ADV
geusb-8292	142	18	,	,	PUNCT
geusb-8292	142	19	in	in	ADP
geusb-8292	142	20	theory	theory	NOUN
geusb-8292	142	21	,	,	PUNCT
geusb-8292	142	22	pbm	pbm	NOUN
geusb-8292	142	23	simulations	simulation	NOUN
geusb-8292	142	24	for	for	ADP
geusb-8292	142	25	different	different	ADJ
geusb-8292	142	26	climate	climate	NOUN
geusb-8292	142	27	change	change	NOUN
geusb-8292	142	28	scenarios	scenario	NOUN
geusb-8292	142	29	or	or	CCONJ
geusb-8292	142	30	a	a	DET
geusb-8292	142	31	larger	large	ADJ
geusb-8292	142	32	geographical	geographical	ADJ
geusb-8292	142	33	domain	domain	NOUN
geusb-8292	142	34	could	could	AUX
geusb-8292	142	35	inform	inform	VERB
geusb-8292	142	36	the	the	DET
geusb-8292	142	37	lstm	lstm	NOUN
geusb-8292	142	38	with	with	ADP
geusb-8292	142	39	diverse	diverse	ADJ
geusb-8292	142	40	runoff	runoff	NOUN
geusb-8292	142	41	behaviour	behaviour	NOUN
geusb-8292	142	42	not	not	PART
geusb-8292	142	43	seen	see	VERB
geusb-8292	142	44	in	in	ADP
geusb-8292	142	45	the	the	DET
geusb-8292	142	46	observed	observe	VERB
geusb-8292	142	47	runoff	runoff	NOUN
geusb-8292	142	48	data	datum	NOUN
geusb-8292	142	49	.	.	PUNCT
geusb-8292	143	1	most	most	ADJ
geusb-8292	143	2	of	of	ADP
geusb-8292	143	3	the	the	DET
geusb-8292	143	4	published	publish	VERB
geusb-8292	143	5	studies	study	NOUN
geusb-8292	143	6	on	on	ADP
geusb-8292	143	7	lstm	lstm	NOUN
geusb-8292	143	8	runoff	runoff	NOUN
geusb-8292	143	9	modelling	modelling	NOUN
geusb-8292	143	10	are	be	AUX
geusb-8292	143	11	of	of	ADP
geusb-8292	143	12	catchments	catchment	NOUN
geusb-8292	143	13	with	with	ADP
geusb-8292	143	14	a	a	DET
geusb-8292	143	15	low	low	ADJ
geusb-8292	143	16	anthropogenic	anthropogenic	ADJ
geusb-8292	143	17	fig	fig	NOUN
geusb-8292	143	18	.	.	PUNCT
geusb-8292	144	1	4	4	NUM
geusb-8292	144	2	 	 	SPACE
geusb-8292	144	3	two	two	NUM
geusb-8292	144	4	example	example	NOUN
geusb-8292	144	5	catchments	catchment	NOUN
geusb-8292	144	6	showing	show	VERB
geusb-8292	144	7	the	the	DET
geusb-8292	144	8	observed	observed	ADJ
geusb-8292	144	9	(	(	PUNCT
geusb-8292	144	10	obs	obs	PROPN
geusb-8292	144	11	)	)	PUNCT
geusb-8292	144	12	and	and	CCONJ
geusb-8292	144	13	simulated	simulate	VERB
geusb-8292	144	14	runoff	runoff	NOUN
geusb-8292	144	15	for	for	ADP
geusb-8292	144	16	the	the	DET
geusb-8292	144	17	test	test	NOUN
geusb-8292	144	18	period	period	NOUN
geusb-8292	144	19	.	.	PUNCT
geusb-8292	145	1	a	a	DET
geusb-8292	145	2	:	:	PUNCT
geusb-8292	145	3	catchment	catchment	NOUN
geusb-8292	145	4	260080	260080	NUM
geusb-8292	145	5	,	,	PUNCT
geusb-8292	145	6	323	323	NUM
geusb-8292	145	7	km2	km2	NOUN
geusb-8292	145	8	.	.	PUNCT
geusb-8292	146	1	b	b	X
geusb-8292	146	2	:	:	PUNCT
geusb-8292	146	3	catchment	catchment	NOUN
geusb-8292	146	4	420022	420022	NUM
geusb-8292	146	5	,	,	PUNCT
geusb-8292	146	6	44	44	NUM
geusb-8292	146	7	km2	km2	NOUN
geusb-8292	146	8	.	.	PUNCT
geusb-8292	147	1	simulated	simulate	VERB
geusb-8292	147	2	data	datum	NOUN
geusb-8292	147	3	comprise	comprise	VERB
geusb-8292	147	4	the	the	DET
geusb-8292	147	5	dk	dk	NOUN
geusb-8292	147	6	-	-	PUNCT
geusb-8292	147	7	model	model	NOUN
geusb-8292	147	8	(	(	PUNCT
geusb-8292	147	9	pbm	pbm	NOUN
geusb-8292	147	10	)	)	PUNCT
geusb-8292	147	11	,	,	PUNCT
geusb-8292	147	12	the	the	DET
geusb-8292	147	13	lstm	lstm	NOUN
geusb-8292	147	14	-	-	PUNCT
geusb-8292	147	15	based	base	VERB
geusb-8292	147	16	model	model	NOUN
geusb-8292	147	17	and	and	CCONJ
geusb-8292	147	18	the	the	DET
geusb-8292	147	19	pre	pre	ADJ
geusb-8292	147	20	-	-	ADJ
geusb-8292	147	21	trained	train	VERB
geusb-8292	147	22	lstm	lstm	NOUN
geusb-8292	147	23	-	-	PUNCT
geusb-8292	147	24	based	base	VERB
geusb-8292	147	25	model	model	NOUN
geusb-8292	147	26	(	(	PUNCT
geusb-8292	147	27	prtrn	prtrn	PROPN
geusb-8292	147	28	lstm	lstm	PROPN
geusb-8292	147	29	)	)	PUNCT
geusb-8292	147	30	.	.	PUNCT
geusb-8292	148	1	the	the	DET
geusb-8292	148	2	runoff	runoff	NOUN
geusb-8292	148	3	predictions	prediction	NOUN
geusb-8292	148	4	of	of	ADP
geusb-8292	148	5	the	the	DET
geusb-8292	148	6	lstm	lstm	NOUN
geusb-8292	148	7	-	-	PUNCT
geusb-8292	148	8	based	base	VERB
geusb-8292	148	9	models	model	NOUN
geusb-8292	148	10	are	be	AUX
geusb-8292	148	11	given	give	VERB
geusb-8292	148	12	for	for	ADP
geusb-8292	148	13	the	the	DET
geusb-8292	148	14	temporal	temporal	ADJ
geusb-8292	148	15	split	split	NOUN
geusb-8292	148	16	-	-	PUNCT
geusb-8292	148	17	sample	sample	NOUN
geusb-8292	148	18	(	(	PUNCT
geusb-8292	148	19	ts	ts	NOUN
geusb-8292	148	20	)	)	PUNCT
geusb-8292	148	21	and	and	CCONJ
geusb-8292	148	22	spatio	spatio	PROPN
geusb-8292	148	23	-	-	PUNCT
geusb-8292	148	24	temporal	temporal	ADJ
geusb-8292	148	25	split	split	NOUN
geusb-8292	148	26	-	-	PUNCT
geusb-8292	148	27	sample	sample	NOUN
geusb-8292	148	28	(	(	PUNCT
geusb-8292	148	29	sts	st	NOUN
geusb-8292	148	30	)	)	PUNCT
geusb-8292	148	31	experiments	experiment	NOUN
geusb-8292	148	32	.	.	PUNCT
geusb-8292	149	1	a	a	DET
geusb-8292	149	2	:	:	PUNCT
geusb-8292	149	3	runoff	runoff	NOUN
geusb-8292	149	4	260080	260080	NUM
geusb-8292	149	5	b	b	NOUN
geusb-8292	149	6	:	:	PUNCT
geusb-8292	149	7	runoff	runoff	NOUN
geusb-8292	149	8	420022	420022	NUM
geusb-8292	149	9	m	m	NOUN
geusb-8292	149	10	3	3	NUM
geusb-8292	149	11	/s	/s	NOUN
geusb-8292	149	12	m	m	PROPN
geusb-8292	149	13	3	3	NUM
geusb-8292	149	14	/s	/s	SYM
geusb-8292	149	15	15	15	NUM
geusb-8292	149	16	10	10	NUM
geusb-8292	149	17	20	20	NUM
geusb-8292	149	18	25	25	NUM
geusb-8292	149	19	5	5	NUM
geusb-8292	149	20	0	0	NUM
geusb-8292	149	21	1.5	1.5	NUM
geusb-8292	149	22	1.0	1.0	NUM
geusb-8292	149	23	2.0	2.0	NUM
geusb-8292	149	24	0.5	0.5	NUM
geusb-8292	149	25	0.0	0.0	NUM
geusb-8292	149	26	1990	1990	NUM
geusb-8292	149	27	1991	1991	NUM
geusb-8292	149	28	1992	1992	NUM
geusb-8292	149	29	1993	1993	NUM
geusb-8292	149	30	1994	1994	NUM
geusb-8292	149	31	1995	1995	NUM
geusb-8292	149	32	1996	1996	NUM
geusb-8292	149	33	1997	1997	NUM
geusb-8292	149	34	1998	1998	NUM
geusb-8292	149	35	1999	1999	NUM
geusb-8292	149	36	2000	2000	NUM
geusb-8292	149	37	lstm_ts	lstm_ts	PROPN
geusb-8292	149	38	lstm_sts	lstm_st	NOUN
geusb-8292	149	39	prtrn	prtrn	NOUN
geusb-8292	149	40	lstm_ts	lstm_ts	PROPN
geusb-8292	149	41	prtrn	prtrn	PROPN
geusb-8292	149	42	lstm_sts	lstm_st	NOUN
geusb-8292	149	43	pbm	pbm	NOUN
geusb-8292	149	44	obs	obs	PROPN
geusb-8292	149	45	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	149	46	http://www.geusbulletin.org	http://www.geusbulletin.org	PROPN
geusb-8292	149	47	koch	koch	PROPN
geusb-8292	149	48	&	&	CCONJ
geusb-8292	149	49	schneider	schneider	PROPN
geusb-8292	149	50	2022	2022	NUM
geusb-8292	149	51	:	:	PUNCT
geusb-8292	149	52	geus	geus	NOUN
geusb-8292	149	53	bulletin	bulletin	NOUN
geusb-8292	149	54	49	49	NUM
geusb-8292	149	55	.	.	PUNCT
geusb-8292	149	56	8292	8292	NUM
geusb-8292	149	57	.	.	PUNCT
geusb-8292	150	1	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	150	2	6	6	NUM
geusb-8292	150	3	of	of	ADP
geusb-8292	150	4	7	7	NUM
geusb-8292	150	5	www.geusbul	www.geusbul	NOUN
geusb-8292	150	6	let	let	VERB
geusb-8292	150	7	in.org	in.org	ADJ
geusb-8292	150	8	impact	impact	NOUN
geusb-8292	150	9	;	;	PUNCT
geusb-8292	150	10	however	however	ADV
geusb-8292	150	11	,	,	PUNCT
geusb-8292	150	12	recent	recent	ADJ
geusb-8292	150	13	efforts	effort	NOUN
geusb-8292	150	14	to	to	PART
geusb-8292	150	15	model	model	VERB
geusb-8292	150	16	highly	highly	ADV
geusb-8292	150	17	managed	manage	VERB
geusb-8292	150	18	catchments	catchment	NOUN
geusb-8292	150	19	have	have	AUX
geusb-8292	150	20	documented	document	VERB
geusb-8292	150	21	promising	promising	ADJ
geusb-8292	150	22	results	result	NOUN
geusb-8292	150	23	as	as	ADV
geusb-8292	150	24	well	well	ADV
geusb-8292	150	25	(	(	PUNCT
geusb-8292	150	26	ouyang	ouyang	X
geusb-8292	150	27	et	et	PROPN
geusb-8292	150	28	al	al	PROPN
geusb-8292	150	29	.	.	PROPN
geusb-8292	150	30	2021	2021	NUM
geusb-8292	150	31	)	)	PUNCT
geusb-8292	150	32	.	.	PUNCT
geusb-8292	151	1	the	the	DET
geusb-8292	151	2	301	301	NUM
geusb-8292	151	3	danish	danish	ADJ
geusb-8292	151	4	catchments	catchment	NOUN
geusb-8292	151	5	selected	select	VERB
geusb-8292	151	6	in	in	ADP
geusb-8292	151	7	this	this	DET
geusb-8292	151	8	study	study	NOUN
geusb-8292	151	9	are	be	AUX
geusb-8292	151	10	,	,	PUNCT
geusb-8292	151	11	to	to	ADP
geusb-8292	151	12	a	a	DET
geusb-8292	151	13	large	large	ADJ
geusb-8292	151	14	degree	degree	NOUN
geusb-8292	151	15	,	,	PUNCT
geusb-8292	151	16	affected	affect	VERB
geusb-8292	151	17	by	by	ADP
geusb-8292	151	18	groundwater	groundwater	NOUN
geusb-8292	151	19	abstraction	abstraction	NOUN
geusb-8292	151	20	and	and	CCONJ
geusb-8292	151	21	drainage	drainage	NOUN
geusb-8292	151	22	,	,	PUNCT
geusb-8292	151	23	and	and	CCONJ
geusb-8292	151	24	the	the	DET
geusb-8292	151	25	effect	effect	NOUN
geusb-8292	151	26	of	of	ADP
geusb-8292	151	27	the	the	DET
geusb-8292	151	28	degree	degree	NOUN
geusb-8292	151	29	of	of	ADP
geusb-8292	151	30	anthropogenic	anthropogenic	ADJ
geusb-8292	151	31	impact	impact	NOUN
geusb-8292	151	32	on	on	ADP
geusb-8292	151	33	model	model	NOUN
geusb-8292	151	34	performance	performance	NOUN
geusb-8292	151	35	and	and	CCONJ
geusb-8292	151	36	transferability	transferability	NOUN
geusb-8292	151	37	should	should	AUX
geusb-8292	151	38	be	be	AUX
geusb-8292	151	39	investigated	investigate	VERB
geusb-8292	151	40	in	in	ADP
geusb-8292	151	41	future	future	ADJ
geusb-8292	151	42	work	work	NOUN
geusb-8292	151	43	.	.	PUNCT
geusb-8292	152	1	conclusions	conclusion	NOUN
geusb-8292	152	2	we	we	PRON
geusb-8292	152	3	draw	draw	VERB
geusb-8292	152	4	the	the	DET
geusb-8292	152	5	following	follow	VERB
geusb-8292	152	6	main	main	ADJ
geusb-8292	152	7	conclusions	conclusion	NOUN
geusb-8292	152	8	from	from	ADP
geusb-8292	152	9	the	the	DET
geusb-8292	152	10	initial	initial	ADJ
geusb-8292	152	11	application	application	NOUN
geusb-8292	152	12	of	of	ADP
geusb-8292	152	13	lstm	lstm	NOUN
geusb-8292	152	14	networks	network	NOUN
geusb-8292	152	15	for	for	ADP
geusb-8292	152	16	rainfall	rainfall	NOUN
geusb-8292	152	17	runoff	runoff	NOUN
geusb-8292	152	18	modelling	modelling	NOUN
geusb-8292	152	19	at	at	ADP
geusb-8292	152	20	the	the	DET
geusb-8292	152	21	national	national	ADJ
geusb-8292	152	22	scale	scale	NOUN
geusb-8292	152	23	of	of	ADP
geusb-8292	152	24	denmark	denmark	NOUN
geusb-8292	152	25	:	:	PUNCT
geusb-8292	152	26	danish	danish	PROPN
geusb-8292	152	27	hydrological	hydrological	ADJ
geusb-8292	152	28	big	big	ADJ
geusb-8292	152	29	data	datum	NOUN
geusb-8292	152	30	have	have	VERB
geusb-8292	152	31	the	the	DET
geusb-8292	152	32	potential	potential	NOUN
geusb-8292	152	33	for	for	ADP
geusb-8292	152	34	conducting	conduct	VERB
geusb-8292	152	35	ml	ml	ADP
geusb-8292	152	36	research	research	NOUN
geusb-8292	152	37	at	at	ADP
geusb-8292	152	38	an	an	DET
geusb-8292	152	39	international	international	ADJ
geusb-8292	152	40	level	level	NOUN
geusb-8292	152	41	.	.	PUNCT
geusb-8292	153	1	the	the	DET
geusb-8292	153	2	dk	dk	PROPN
geusb-8292	153	3	-	-	PUNCT
geusb-8292	153	4	model	model	NOUN
geusb-8292	153	5	serves	serve	VERB
geusb-8292	153	6	as	as	ADP
geusb-8292	153	7	a	a	DET
geusb-8292	153	8	valuable	valuable	ADJ
geusb-8292	153	9	benchmark	benchmark	NOUN
geusb-8292	153	10	as	as	ADV
geusb-8292	153	11	well	well	ADV
geusb-8292	153	12	as	as	ADP
geusb-8292	153	13	a	a	DET
geusb-8292	153	14	source	source	NOUN
geusb-8292	153	15	for	for	ADP
geusb-8292	153	16	augmented	augment	VERB
geusb-8292	153	17	training	training	NOUN
geusb-8292	153	18	data	datum	NOUN
geusb-8292	153	19	and	and	CCONJ
geusb-8292	153	20	input	input	NOUN
geusb-8292	153	21	data	datum	NOUN
geusb-8292	153	22	in	in	ADP
geusb-8292	153	23	the	the	DET
geusb-8292	153	24	form	form	NOUN
geusb-8292	153	25	of	of	ADP
geusb-8292	153	26	static	static	ADJ
geusb-8292	153	27	catchment	catchment	NOUN
geusb-8292	153	28	attributes	attribute	VERB
geusb-8292	153	29	.	.	PUNCT
geusb-8292	154	1	an	an	DET
geusb-8292	154	2	lstm	lstm	NOUN
geusb-8292	154	3	can	can	AUX
geusb-8292	154	4	outperform	outperform	VERB
geusb-8292	154	5	a	a	DET
geusb-8292	154	6	state	state	NOUN
geusb-8292	154	7	-	-	PUNCT
geusb-8292	154	8	of	of	ADP
geusb-8292	154	9	-	-	PUNCT
geusb-8292	154	10	the	the	DET
geusb-8292	154	11	-	-	PUNCT
geusb-8292	154	12	art	art	NOUN
geusb-8292	154	13	hydrological	hydrological	ADJ
geusb-8292	154	14	model	model	NOUN
geusb-8292	154	15	;	;	PUNCT
geusb-8292	154	16	however	however	ADV
geusb-8292	154	17	,	,	PUNCT
geusb-8292	154	18	accuracy	accuracy	NOUN
geusb-8292	154	19	decreases	decrease	VERB
geusb-8292	154	20	for	for	ADP
geusb-8292	154	21	ungauged	ungauged	ADJ
geusb-8292	154	22	catchments	catchment	NOUN
geusb-8292	154	23	.	.	PUNCT
geusb-8292	155	1	this	this	PRON
geusb-8292	155	2	can	can	AUX
geusb-8292	155	3	be	be	AUX
geusb-8292	155	4	alleviated	alleviate	VERB
geusb-8292	155	5	by	by	ADP
geusb-8292	155	6	pre	pre	VERB
geusb-8292	155	7	-	-	NOUN
geusb-8292	155	8	training	training	NOUN
geusb-8292	155	9	against	against	ADP
geusb-8292	155	10	physically	physically	ADV
geusb-8292	155	11	based	base	VERB
geusb-8292	155	12	simulated	simulated	ADJ
geusb-8292	155	13	runoff	runoff	NOUN
geusb-8292	155	14	,	,	PUNCT
geusb-8292	155	15	providing	provide	VERB
geusb-8292	155	16	crucial	crucial	ADJ
geusb-8292	155	17	information	information	NOUN
geusb-8292	155	18	to	to	ADP
geusb-8292	155	19	the	the	DET
geusb-8292	155	20	lstm	lstm	NOUN
geusb-8292	155	21	where	where	SCONJ
geusb-8292	155	22	needed	need	VERB
geusb-8292	155	23	.	.	PUNCT
geusb-8292	156	1	future	future	ADJ
geusb-8292	156	2	research	research	NOUN
geusb-8292	156	3	studies	study	NOUN
geusb-8292	156	4	should	should	AUX
geusb-8292	156	5	(	(	PUNCT
geusb-8292	156	6	1	1	X
geusb-8292	156	7	)	)	PUNCT
geusb-8292	156	8	advance	advance	NOUN
geusb-8292	156	9	knowledge	knowledge	NOUN
geusb-8292	156	10	-	-	PUNCT
geusb-8292	156	11	guided	guide	VERB
geusb-8292	156	12	ml	ml	NOUN
geusb-8292	156	13	to	to	PART
geusb-8292	156	14	use	use	VERB
geusb-8292	156	15	hydrological	hydrological	ADJ
geusb-8292	156	16	knowledge	knowledge	NOUN
geusb-8292	156	17	provided	provide	VERB
geusb-8292	156	18	by	by	ADP
geusb-8292	156	19	the	the	DET
geusb-8292	156	20	dk	dk	PROPN
geusb-8292	156	21	-	-	NOUN
geusb-8292	156	22	model	model	NOUN
geusb-8292	156	23	optimally	optimally	ADV
geusb-8292	156	24	;	;	PUNCT
geusb-8292	156	25	(	(	PUNCT
geusb-8292	156	26	2	2	X
geusb-8292	156	27	)	)	PUNCT
geusb-8292	156	28	test	test	NOUN
geusb-8292	156	29	alternative	alternative	ADJ
geusb-8292	156	30	lstm	lstm	PROPN
geusb-8292	156	31	architectures	architecture	NOUN
geusb-8292	156	32	,	,	PUNCT
geusb-8292	156	33	hyperparameters	hyperparameter	NOUN
geusb-8292	156	34	and	and	CCONJ
geusb-8292	156	35	loss	loss	NOUN
geusb-8292	156	36	functions	function	NOUN
geusb-8292	156	37	;	;	PUNCT
geusb-8292	156	38	(	(	PUNCT
geusb-8292	156	39	3	3	X
geusb-8292	156	40	)	)	PUNCT
geusb-8292	156	41	study	study	VERB
geusb-8292	156	42	the	the	DET
geusb-8292	156	43	effect	effect	NOUN
geusb-8292	156	44	of	of	ADP
geusb-8292	156	45	anthropogenic	anthropogenic	ADJ
geusb-8292	156	46	impact	impact	NOUN
geusb-8292	156	47	(	(	PUNCT
geusb-8292	156	48	drainage	drainage	NOUN
geusb-8292	156	49	and	and	CCONJ
geusb-8292	156	50	groundwater	groundwater	NOUN
geusb-8292	156	51	abstraction	abstraction	NOUN
geusb-8292	156	52	)	)	PUNCT
geusb-8292	156	53	on	on	ADP
geusb-8292	156	54	the	the	DET
geusb-8292	156	55	lstm	lstm	NOUN
geusb-8292	156	56	;	;	PUNCT
geusb-8292	156	57	(	(	PUNCT
geusb-8292	156	58	4	4	X
geusb-8292	156	59	)	)	PUNCT
geusb-8292	156	60	investigate	investigate	VERB
geusb-8292	156	61	ways	way	NOUN
geusb-8292	156	62	of	of	ADP
geusb-8292	156	63	interpreting	interpret	VERB
geusb-8292	156	64	lstm	lstm	ADJ
geusb-8292	156	65	models	model	NOUN
geusb-8292	156	66	to	to	PART
geusb-8292	156	67	gain	gain	VERB
geusb-8292	156	68	new	new	ADJ
geusb-8292	156	69	insights	insight	NOUN
geusb-8292	156	70	into	into	ADP
geusb-8292	156	71	the	the	DET
geusb-8292	156	72	runoff	runoff	NOUN
geusb-8292	156	73	process	process	NOUN
geusb-8292	156	74	in	in	ADP
geusb-8292	156	75	denmark	denmark	NOUN
geusb-8292	156	76	;	;	PUNCT
geusb-8292	156	77	(	(	PUNCT
geusb-8292	156	78	5	5	X
geusb-8292	156	79	)	)	PUNCT
geusb-8292	156	80	apply	apply	VERB
geusb-8292	156	81	a	a	DET
geusb-8292	156	82	broad	broad	ADJ
geusb-8292	156	83	range	range	NOUN
geusb-8292	156	84	of	of	ADP
geusb-8292	156	85	hydrological	hydrological	ADJ
geusb-8292	156	86	signatures	signature	NOUN
geusb-8292	156	87	in	in	ADP
geusb-8292	156	88	the	the	DET
geusb-8292	156	89	evaluation	evaluation	NOUN
geusb-8292	156	90	of	of	ADP
geusb-8292	156	91	lstms	lstms	NOUN
geusb-8292	156	92	;	;	PUNCT
geusb-8292	156	93	and	and	CCONJ
geusb-8292	156	94	(	(	PUNCT
geusb-8292	156	95	6	6	X
geusb-8292	156	96	)	)	PUNCT
geusb-8292	156	97	produce	produce	VERB
geusb-8292	156	98	a	a	DET
geusb-8292	156	99	camels	camel	NOUN
geusb-8292	156	100	data	datum	NOUN
geusb-8292	156	101	set	set	VERB
geusb-8292	156	102	for	for	ADP
geusb-8292	156	103	denmark	denmark	NOUN
geusb-8292	156	104	to	to	PART
geusb-8292	156	105	provide	provide	VERB
geusb-8292	156	106	high	high	ADJ
geusb-8292	156	107	-	-	PUNCT
geusb-8292	156	108	quality	quality	NOUN
geusb-8292	156	109	hydrological	hydrological	ADJ
geusb-8292	156	110	and	and	CCONJ
geusb-8292	156	111	meteorological	meteorological	ADJ
geusb-8292	156	112	data	datum	NOUN
geusb-8292	156	113	.	.	PUNCT
geusb-8292	157	1	acknowledgements	acknowledgement	NOUN
geusb-8292	157	2	the	the	DET
geusb-8292	157	3	authors	author	NOUN
geusb-8292	157	4	acknowledge	acknowledge	VERB
geusb-8292	157	5	the	the	DET
geusb-8292	157	6	developer	developer	NOUN
geusb-8292	157	7	team	team	NOUN
geusb-8292	157	8	behind	behind	ADP
geusb-8292	157	9	the	the	DET
geusb-8292	157	10	neuralhydrology	neuralhydrology	NOUN
geusb-8292	157	11	codebase	codebase	ADJ
geusb-8292	157	12	for	for	ADP
geusb-8292	157	13	making	make	VERB
geusb-8292	157	14	lstm	lstm	NOUN
geusb-8292	157	15	modelling	modelling	NOUN
geusb-8292	157	16	tools	tool	NOUN
geusb-8292	157	17	so	so	ADV
geusb-8292	157	18	accessible	accessible	ADJ
geusb-8292	157	19	.	.	PUNCT
geusb-8292	158	1	furthermore	furthermore	ADV
geusb-8292	158	2	,	,	PUNCT
geusb-8292	158	3	geus	geus	NOUN
geusb-8292	158	4	colleagues	colleague	NOUN
geusb-8292	158	5	h.j	h.j	PROPN
geusb-8292	158	6	.	.	PROPN
geusb-8292	158	7	henriksen	henriksen	PROPN
geusb-8292	158	8	and	and	CCONJ
geusb-8292	158	9	s.	s.	PROPN
geusb-8292	158	10	stisen	stisen	PROPN
geusb-8292	158	11	are	be	AUX
geusb-8292	158	12	thanked	thank	VERB
geusb-8292	158	13	for	for	ADP
geusb-8292	158	14	providing	provide	VERB
geusb-8292	158	15	valuable	valuable	ADJ
geusb-8292	158	16	feedback	feedback	NOUN
geusb-8292	158	17	to	to	ADP
geusb-8292	158	18	this	this	DET
geusb-8292	158	19	manuscript	manuscript	NOUN
geusb-8292	158	20	.	.	PUNCT
geusb-8292	159	1	two	two	NUM
geusb-8292	159	2	anonymous	anonymous	ADJ
geusb-8292	159	3	reviewers	reviewer	NOUN
geusb-8292	159	4	are	be	AUX
geusb-8292	159	5	thanked	thank	VERB
geusb-8292	159	6	for	for	ADP
geusb-8292	159	7	providing	provide	VERB
geusb-8292	159	8	valuable	valuable	ADJ
geusb-8292	159	9	comments	comment	NOUN
geusb-8292	159	10	to	to	ADP
geusb-8292	159	11	this	this	DET
geusb-8292	159	12	manuscript	manuscript	NOUN
geusb-8292	159	13	.	.	PUNCT
geusb-8292	160	1	author	author	NOUN
geusb-8292	160	2	contributions	contribution	VERB
geusb-8292	160	3	jk	jk	PROPN
geusb-8292	160	4	:	:	PUNCT
geusb-8292	160	5	code	code	NOUN
geusb-8292	160	6	development	development	NOUN
geusb-8292	160	7	,	,	PUNCT
geusb-8292	160	8	writing	write	VERB
geusb-8292	160	9	original	original	ADJ
geusb-8292	160	10	draft	draft	NOUN
geusb-8292	160	11	and	and	CCONJ
geusb-8292	160	12	visualisation	visualisation	NOUN
geusb-8292	160	13	.	.	PUNCT
geusb-8292	161	1	rs	rs	ADJ
geusb-8292	161	2	:	:	PUNCT
geusb-8292	161	3	data	datum	NOUN
geusb-8292	161	4	  	  	SPACE
geusb-8292	161	5	preparation	preparation	NOUN
geusb-8292	161	6	.	.	PUNCT
geusb-8292	162	1	both	both	DET
geusb-8292	162	2	authors	author	NOUN
geusb-8292	162	3	have	have	AUX
geusb-8292	162	4	  	  	SPACE
geusb-8292	162	5	conceptualised	conceptualise	VERB
geusb-8292	162	6	the	the	DET
geusb-8292	162	7	study	study	NOUN
geusb-8292	162	8	and	and	CCONJ
geusb-8292	162	9	  	  	SPACE
geusb-8292	162	10	design	design	NOUN
geusb-8292	162	11	,	,	PUNCT
geusb-8292	162	12	read	read	VERB
geusb-8292	162	13	,	,	PUNCT
geusb-8292	162	14	edited	edit	VERB
geusb-8292	162	15	and	and	CCONJ
geusb-8292	162	16	agreed	agree	VERB
geusb-8292	162	17	to	to	ADP
geusb-8292	162	18	the	the	DET
geusb-8292	162	19	published	publish	VERB
geusb-8292	162	20	version	version	NOUN
geusb-8292	162	21	of	of	ADP
geusb-8292	162	22	the	the	DET
geusb-8292	162	23	manuscript	manuscript	NOUN
geusb-8292	162	24	.	.	PUNCT
geusb-8292	163	1	competing	compete	VERB
geusb-8292	163	2	interests	interest	NOUN
geusb-8292	163	3	the	the	DET
geusb-8292	163	4	authors	author	NOUN
geusb-8292	163	5	declare	declare	VERB
geusb-8292	163	6	no	no	DET
geusb-8292	163	7	competing	compete	VERB
geusb-8292	163	8	interests	interest	NOUN
geusb-8292	163	9	.	.	PUNCT
geusb-8292	164	1	additional	additional	ADJ
geusb-8292	164	2	files	file	NOUN
geusb-8292	164	3	all	all	DET
geusb-8292	164	4	data	datum	NOUN
geusb-8292	164	5	and	and	CCONJ
geusb-8292	164	6	model	model	NOUN
geusb-8292	164	7	setups	setup	NOUN
geusb-8292	164	8	are	be	AUX
geusb-8292	164	9	available	available	ADJ
geusb-8292	164	10	at	at	ADP
geusb-8292	164	11	:	:	PUNCT
geusb-8292	164	12	https://doi.org/10.22008/	https://doi.org/10.22008/	PROPN
geusb-8292	164	13	fk2	fk2	NOUN
geusb-8292	164	14	/	/	SYM
geusb-8292	164	15	ycqxtr	ycqxtr	NOUN
geusb-8292	164	16	.	.	PUNCT
geusb-8292	165	1	an	an	DET
geusb-8292	165	2	additional	additional	ADJ
geusb-8292	165	3	supplementary	supplementary	ADJ
geusb-8292	165	4	file	file	NOUN
geusb-8292	165	5	is	be	AUX
geusb-8292	165	6	available	available	ADJ
geusb-8292	165	7	at	at	ADP
geusb-8292	165	8	:	:	PUNCT
geusb-8292	165	9	https://	https://	PROPN
geusb-8292	165	10	doi.org/10.22008/fk2/wcf76i	doi.org/10.22008/fk2/wcf76i	PROPN
geusb-8292	165	11	.	.	PUNCT
geusb-8292	166	1	references	reference	NOUN
geusb-8292	166	2	addor	addor	PROPN
geusb-8292	166	3	,	,	PUNCT
geusb-8292	166	4	n.	n.	PROPN
geusb-8292	166	5	,	,	PUNCT
geusb-8292	166	6	newman	newman	PROPN
geusb-8292	166	7	,	,	PUNCT
geusb-8292	166	8	a.j	a.j	PROPN
geusb-8292	166	9	.	.	PROPN
geusb-8292	166	10	,	,	PUNCT
geusb-8292	166	11	mizukami	mizukami	NOUN
geusb-8292	166	12	,	,	PUNCT
geusb-8292	166	13	n.	n.	PROPN
geusb-8292	166	14	&	&	CCONJ
geusb-8292	166	15	clark	clark	PROPN
geusb-8292	166	16	,	,	PUNCT
geusb-8292	166	17	m.p	m.p	PROPN
geusb-8292	166	18	.	.	PROPN
geusb-8292	166	19	2017	2017	NUM
geusb-8292	166	20	:	:	PUNCT
geusb-8292	166	21	the	the	DET
geusb-8292	166	22	camels	camel	NOUN
geusb-8292	166	23	data	datum	NOUN
geusb-8292	166	24	set	set	NOUN
geusb-8292	166	25	:	:	PUNCT
geusb-8292	166	26	catchment	catchment	NOUN
geusb-8292	166	27	attributes	attribute	NOUN
geusb-8292	166	28	and	and	CCONJ
geusb-8292	166	29	meteorology	meteorology	NOUN
geusb-8292	166	30	for	for	ADP
geusb-8292	166	31	large	large	ADJ
geusb-8292	166	32	-	-	PUNCT
geusb-8292	166	33	sample	sample	NOUN
geusb-8292	166	34	studies	study	NOUN
geusb-8292	166	35	.	.	PUNCT
geusb-8292	167	1	hydrology	hydrology	NOUN
geusb-8292	167	2	and	and	CCONJ
geusb-8292	167	3	earth	earth	NOUN
geusb-8292	167	4	system	system	NOUN
geusb-8292	167	5	sciences	science	NOUN
geusb-8292	167	6	21	21	NUM
geusb-8292	167	7	,	,	PUNCT
geusb-8292	167	8	5293–5313	5293–5313	NUM
geusb-8292	167	9	.	.	PUNCT
geusb-8292	168	1	https://	https://	PROPN
geusb-8292	168	2	doi.org/10.5194/hess-21-5293-2017	doi.org/10.5194/hess-21-5293-2017	PROPN
geusb-8292	168	3	gauch	gauch	PROPN
geusb-8292	168	4	,	,	PUNCT
geusb-8292	168	5	m.	m.	NOUN
geusb-8292	168	6	,	,	PUNCT
geusb-8292	168	7	mai	mai	PROPN
geusb-8292	168	8	,	,	PUNCT
geusb-8292	168	9	j.	j.	PROPN
geusb-8292	168	10	&	&	CCONJ
geusb-8292	168	11	lin	lin	PROPN
geusb-8292	168	12	,	,	PUNCT
geusb-8292	168	13	j.	j.	PROPN
geusb-8292	168	14	2021	2021	NUM
geusb-8292	168	15	:	:	PUNCT
geusb-8292	168	16	the	the	DET
geusb-8292	168	17	proper	proper	ADJ
geusb-8292	168	18	care	care	NOUN
geusb-8292	168	19	and	and	CCONJ
geusb-8292	168	20	feeding	feeding	NOUN
geusb-8292	168	21	of	of	ADP
geusb-8292	168	22	camels	camel	NOUN
geusb-8292	168	23	:	:	PUNCT
geusb-8292	168	24	how	how	SCONJ
geusb-8292	168	25	limited	limited	ADJ
geusb-8292	168	26	training	training	NOUN
geusb-8292	168	27	data	datum	NOUN
geusb-8292	168	28	affects	affect	VERB
geusb-8292	168	29	streamflow	streamflow	PROPN
geusb-8292	168	30	prediction	prediction	NOUN
geusb-8292	168	31	.	.	PUNCT
geusb-8292	169	1	environmental	environmental	ADJ
geusb-8292	169	2	modelling	modelling	NOUN
geusb-8292	169	3	and	and	CCONJ
geusb-8292	169	4	software	software	NOUN
geusb-8292	169	5	135	135	NUM
geusb-8292	169	6	,	,	PUNCT
geusb-8292	169	7	104926	104926	NUM
geusb-8292	169	8	.	.	PUNCT
geusb-8292	170	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
geusb-8292	170	2	.	.	PUNCT
geusb-8292	171	1	envsoft.2020.104926	envsoft.2020.104926	PROPN
geusb-8292	171	2	gupta	gupta	PROPN
geusb-8292	171	3	,	,	PUNCT
geusb-8292	171	4	h.v	h.v	PROPN
geusb-8292	171	5	,	,	PUNCT
geusb-8292	171	6	kling	kling	PROPN
geusb-8292	171	7	,	,	PUNCT
geusb-8292	171	8	h.	h.	PROPN
geusb-8292	171	9	,	,	PUNCT
geusb-8292	171	10	yilmaz	yilmaz	PROPN
geusb-8292	171	11	,	,	PUNCT
geusb-8292	171	12	k.k	k.k	PROPN
geusb-8292	171	13	.	.	PROPN
geusb-8292	171	14	&	&	CCONJ
geusb-8292	171	15	martinez	martinez	PROPN
geusb-8292	171	16	,	,	PUNCT
geusb-8292	171	17	g.f	g.f	PROPN
geusb-8292	171	18	.	.	PROPN
geusb-8292	171	19	2009	2009	NUM
geusb-8292	171	20	:	:	PUNCT
geusb-8292	171	21	decomposition	decomposition	NOUN
geusb-8292	171	22	of	of	ADP
geusb-8292	171	23	the	the	DET
geusb-8292	171	24	mean	mean	ADJ
geusb-8292	171	25	squared	square	VERB
geusb-8292	171	26	error	error	NOUN
geusb-8292	171	27	and	and	CCONJ
geusb-8292	171	28	nse	nse	NOUN
geusb-8292	171	29	performance	performance	NOUN
geusb-8292	171	30	criteria	criterion	NOUN
geusb-8292	171	31	:	:	PUNCT
geusb-8292	171	32	implications	implication	NOUN
geusb-8292	171	33	for	for	ADP
geusb-8292	171	34	improving	improve	VERB
geusb-8292	171	35	hydrological	hydrological	ADJ
geusb-8292	171	36	modelling	modelling	NOUN
geusb-8292	171	37	.	.	PUNCT
geusb-8292	172	1	journal	journal	NOUN
geusb-8292	172	2	of	of	ADP
geusb-8292	172	3	hydrology	hydrology	NOUN
geusb-8292	172	4	377(1–2	377(1–2	NUM
geusb-8292	172	5	)	)	PUNCT
geusb-8292	172	6	,	,	PUNCT
geusb-8292	172	7	80–91	80–91	NUM
geusb-8292	172	8	.	.	PUNCT
geusb-8292	173	1	https://doi.org/10.1016/j.jhydrol.2009.08.003	https://doi.org/10.1016/j.jhydrol.2009.08.003	PROPN
geusb-8292	173	2	henriksen	henriksen	PROPN
geusb-8292	173	3	,	,	PUNCT
geusb-8292	173	4	h.j	h.j	PROPN
geusb-8292	173	5	.	.	PROPN
geusb-8292	173	6	,	,	PUNCT
geusb-8292	173	7	troldborg	troldborg	PROPN
geusb-8292	173	8	,	,	PUNCT
geusb-8292	173	9	l.	l.	PROPN
geusb-8292	173	10	,	,	PUNCT
geusb-8292	173	11	nyegaard	nyegaard	ADV
geusb-8292	173	12	,	,	PUNCT
geusb-8292	173	13	p.	p.	NOUN
geusb-8292	173	14	,	,	PUNCT
geusb-8292	173	15	sonnenborg	sonnenborg	PROPN
geusb-8292	173	16	,	,	PUNCT
geusb-8292	173	17	t.o	t.o	PROPN
geusb-8292	173	18	.	.	PROPN
geusb-8292	173	19	,	,	PUNCT
geusb-8292	173	20	refsgaard	refsgaard	VERB
geusb-8292	173	21	,	,	PUNCT
geusb-8292	173	22	j.c	j.c	PROPN
geusb-8292	173	23	.	.	PROPN
geusb-8292	173	24	&	&	CCONJ
geusb-8292	173	25	madsen	madsen	PROPN
geusb-8292	173	26	,	,	PUNCT
geusb-8292	173	27	b.	b.	PROPN
geusb-8292	173	28	2003	2003	NUM
geusb-8292	173	29	:	:	PUNCT
geusb-8292	173	30	methodology	methodology	NOUN
geusb-8292	173	31	for	for	ADP
geusb-8292	173	32	construction	construction	NOUN
geusb-8292	173	33	,	,	PUNCT
geusb-8292	173	34	calibration	calibration	NOUN
geusb-8292	173	35	and	and	CCONJ
geusb-8292	173	36	validation	validation	NOUN
geusb-8292	173	37	of	of	ADP
geusb-8292	173	38	a	a	DET
geusb-8292	173	39	national	national	ADJ
geusb-8292	173	40	hydrological	hydrological	ADJ
geusb-8292	173	41	model	model	NOUN
geusb-8292	173	42	for	for	ADP
geusb-8292	173	43	denmark	denmark	PROPN
geusb-8292	173	44	.	.	PUNCT
geusb-8292	174	1	journal	journal	PROPN
geusb-8292	174	2	of	of	ADP
geusb-8292	174	3	hydrology	hydrology	NOUN
geusb-8292	174	4	280	280	NUM
geusb-8292	174	5	,	,	PUNCT
geusb-8292	174	6	52–71	52–71	NUM
geusb-8292	174	7	.	.	PUNCT
geusb-8292	175	1	https://doi.org/10.1016/s0022-1694(03)00186-0	https://doi.org/10.1016/s0022-1694(03)00186-0	PROPN
geusb-8292	175	2	hochreiter	hochreiter	PROPN
geusb-8292	175	3	,	,	PUNCT
geusb-8292	175	4	s.	s.	PROPN
geusb-8292	175	5	&	&	CCONJ
geusb-8292	175	6	schmidhuber	schmidhuber	PROPN
geusb-8292	175	7	,	,	PUNCT
geusb-8292	175	8	j.	j.	PROPN
geusb-8292	175	9	1997	1997	NUM
geusb-8292	175	10	:	:	PUNCT
geusb-8292	175	11	long	long	ADJ
geusb-8292	175	12	short	short	ADJ
geusb-8292	175	13	-	-	PUNCT
geusb-8292	175	14	term	term	NOUN
geusb-8292	175	15	memory	memory	NOUN
geusb-8292	175	16	.	.	PUNCT
geusb-8292	176	1	neural	neural	ADJ
geusb-8292	176	2	computation	computation	NOUN
geusb-8292	176	3	9	9	NUM
geusb-8292	176	4	,	,	PUNCT
geusb-8292	176	5	1735–1780	1735–1780	NUM
geusb-8292	176	6	.	.	PUNCT
geusb-8292	177	1	https://doi.org/10.1162/neco.1997.9.8.1735	https://doi.org/10.1162/neco.1997.9.8.1735	PROPN
geusb-8292	177	2	hoedt	hoedt	NOUN
geusb-8292	177	3	,	,	PUNCT
geusb-8292	177	4	p.-j	p.-j	NOUN
geusb-8292	177	5	.	.	PUNCT
geusb-8292	177	6	,	,	PUNCT
geusb-8292	177	7	kratzert	kratzert	PROPN
geusb-8292	177	8	,	,	PUNCT
geusb-8292	177	9	f.	f.	PROPN
geusb-8292	177	10	,	,	PUNCT
geusb-8292	177	11	klotz	klotz	PROPN
geusb-8292	177	12	,	,	PUNCT
geusb-8292	177	13	d.	d.	PROPN
geusb-8292	177	14	,	,	PUNCT
geusb-8292	177	15	halmich	halmich	NOUN
geusb-8292	177	16	,	,	PUNCT
geusb-8292	177	17	c.	c.	PROPN
geusb-8292	177	18	,	,	PUNCT
geusb-8292	177	19	holzleitner	holzleitner	NOUN
geusb-8292	177	20	,	,	PUNCT
geusb-8292	177	21	m.	m.	NOUN
geusb-8292	177	22	,	,	PUNCT
geusb-8292	177	23	nearing	nearing	NOUN
geusb-8292	177	24	,	,	PUNCT
geusb-8292	177	25	g.	g.	PROPN
geusb-8292	177	26	,	,	PUNCT
geusb-8292	177	27	hochreiter	hochreiter	PROPN
geusb-8292	177	28	,	,	PUNCT
geusb-8292	177	29	s.	s.	PROPN
geusb-8292	177	30	&	&	CCONJ
geusb-8292	177	31	klambauer	klambauer	PROPN
geusb-8292	177	32	,	,	PUNCT
geusb-8292	177	33	g.	g.	PROPN
geusb-8292	177	34	2021	2021	NUM
geusb-8292	177	35	:	:	PUNCT
geusb-8292	177	36	mc	mc	PROPN
geusb-8292	177	37	-	-	PUNCT
geusb-8292	177	38	lstm	lstm	PROPN
geusb-8292	177	39	:	:	PUNCT
geusb-8292	177	40	mass	mass	NOUN
geusb-8292	177	41	-	-	PUNCT
geusb-8292	177	42	conserving	conserve	VERB
geusb-8292	177	43	lstm	lstm	NOUN
geusb-8292	177	44	.	.	PUNCT
geusb-8292	178	1	arxiv	arxiv	PROPN
geusb-8292	178	2	preprint	preprint	NOUN
geusb-8292	178	3	arxiv:2101.05186	arxiv:2101.05186	PROPN
geusb-8292	178	4	(	(	PUNCT
geusb-8292	178	5	2021	2021	NUM
geusb-8292	178	6	)	)	PUNCT
geusb-8292	178	7	.	.	PUNCT
geusb-8292	179	1	højberg	højberg	PROPN
geusb-8292	179	2	,	,	PUNCT
geusb-8292	179	3	a.l	a.l	PROPN
geusb-8292	179	4	.	.	PROPN
geusb-8292	179	5	,	,	PUNCT
geusb-8292	179	6	troldborg	troldborg	PROPN
geusb-8292	179	7	,	,	PUNCT
geusb-8292	179	8	l.	l.	PROPN
geusb-8292	179	9	,	,	PUNCT
geusb-8292	179	10	stisen	stisen	PROPN
geusb-8292	179	11	,	,	PUNCT
geusb-8292	179	12	s.	s.	PROPN
geusb-8292	179	13	,	,	PUNCT
geusb-8292	179	14	christensen	christensen	PROPN
geusb-8292	179	15	,	,	PUNCT
geusb-8292	179	16	b.b.s	b.b.s	PROPN
geusb-8292	179	17	.	.	PROPN
geusb-8292	179	18	&	&	CCONJ
geusb-8292	179	19	henriksen	henriksen	PROPN
geusb-8292	179	20	,	,	PUNCT
geusb-8292	179	21	h.j	h.j	PROPN
geusb-8292	179	22	.	.	PROPN
geusb-8292	179	23	2013	2013	NUM
geusb-8292	179	24	:	:	PUNCT
geusb-8292	179	25	stakeholder	stakeholder	NOUN
geusb-8292	179	26	driven	drive	VERB
geusb-8292	179	27	update	update	NOUN
geusb-8292	179	28	and	and	CCONJ
geusb-8292	179	29	improvement	improvement	NOUN
geusb-8292	179	30	of	of	ADP
geusb-8292	179	31	a	a	DET
geusb-8292	179	32	national	national	ADJ
geusb-8292	179	33	water	water	NOUN
geusb-8292	179	34	resources	resource	NOUN
geusb-8292	179	35	model	model	NOUN
geusb-8292	179	36	.	.	PUNCT
geusb-8292	180	1	environmental	environmental	ADJ
geusb-8292	180	2	modelling	modelling	NOUN
geusb-8292	180	3	and	and	CCONJ
geusb-8292	180	4	software	software	NOUN
geusb-8292	180	5	40	40	NUM
geusb-8292	180	6	,	,	PUNCT
geusb-8292	180	7	202–213	202–213	NUM
geusb-8292	180	8	.	.	PUNCT
geusb-8292	181	1	https://doi.org/10.1016/j.envsoft.2012.09.010	https://doi.org/10.1016/j.envsoft.2012.09.010	NUM
geusb-8292	181	2	jia	jia	PROPN
geusb-8292	181	3	,	,	PUNCT
geusb-8292	181	4	x.	x.	PROPN
geusb-8292	181	5	et	et	PROPN
geusb-8292	181	6	al	al	PROPN
geusb-8292	181	7	.	.	PROPN
geusb-8292	181	8	2021	2021	NUM
geusb-8292	181	9	:	:	PUNCT
geusb-8292	181	10	physics	physics	NOUN
geusb-8292	181	11	-	-	PUNCT
geusb-8292	181	12	guided	guide	VERB
geusb-8292	181	13	recurrent	recurrent	ADJ
geusb-8292	181	14	graph	graph	NOUN
geusb-8292	181	15	model	model	NOUN
geusb-8292	181	16	for	for	ADP
geusb-8292	181	17	predicting	predict	VERB
geusb-8292	181	18	flow	flow	NOUN
geusb-8292	181	19	and	and	CCONJ
geusb-8292	181	20	temperature	temperature	NOUN
geusb-8292	181	21	in	in	ADP
geusb-8292	181	22	river	river	NOUN
geusb-8292	181	23	networks	network	NOUN
geusb-8292	181	24	.	.	PUNCT
geusb-8292	182	1	in	in	ADP
geusb-8292	182	2	:	:	PUNCT
geusb-8292	182	3	demeniconi	demeniconi	PROPN
geusb-8292	182	4	,	,	PUNCT
geusb-8292	182	5	c.	c.	PROPN
geusb-8292	182	6	&	&	CCONJ
geusb-8292	182	7	davidson	davidson	PROPN
geusb-8292	182	8	,	,	PUNCT
geusb-8292	182	9	i.	i.	PROPN
geusb-8292	182	10	(	(	PUNCT
geusb-8292	182	11	eds	ed	NOUN
geusb-8292	182	12	):	):	PUNCT
geusb-8292	182	13	proceedings	proceeding	NOUN
geusb-8292	182	14	of	of	ADP
geusb-8292	182	15	the	the	DET
geusb-8292	182	16	2021	2021	NUM
geusb-8292	182	17	siam	siam	PROPN
geusb-8292	182	18	international	international	ADJ
geusb-8292	182	19	conference	conference	NOUN
geusb-8292	182	20	on	on	ADP
geusb-8292	182	21	data	datum	NOUN
geusb-8292	182	22	mining	mining	NOUN
geusb-8292	182	23	(	(	PUNCT
geusb-8292	182	24	sdm	sdm	PROPN
geusb-8292	182	25	)	)	PUNCT
geusb-8292	182	26	,	,	PUNCT
geusb-8292	182	27	virtual	virtual	ADJ
geusb-8292	182	28	conference	conference	NOUN
geusb-8292	182	29	,	,	PUNCT
geusb-8292	182	30	612–620	612–620	NUM
geusb-8292	182	31	.	.	PUNCT
geusb-8292	183	1	https://doi	https://doi	X
geusb-8292	183	2	.	.	PUNCT
geusb-8292	183	3	org/10.1137/1.9781611976700.69	org/10.1137/1.9781611976700.69	PROPN
geusb-8292	183	4	kratzert	kratzert	NOUN
geusb-8292	183	5	,	,	PUNCT
geusb-8292	183	6	f.	f.	PROPN
geusb-8292	183	7	,	,	PUNCT
geusb-8292	183	8	klotz	klotz	PROPN
geusb-8292	183	9	,	,	PUNCT
geusb-8292	183	10	d.	d.	PROPN
geusb-8292	183	11	,	,	PUNCT
geusb-8292	183	12	brenner	brenner	PROPN
geusb-8292	183	13	,	,	PUNCT
geusb-8292	183	14	c.	c.	PROPN
geusb-8292	183	15	,	,	PUNCT
geusb-8292	183	16	schulz	schulz	PROPN
geusb-8292	183	17	,	,	PUNCT
geusb-8292	183	18	k.	k.	PROPN
geusb-8292	183	19	&	&	CCONJ
geusb-8292	183	20	herrnegger	herrnegger	PROPN
geusb-8292	183	21	,	,	PUNCT
geusb-8292	183	22	m.	m.	NOUN
geusb-8292	183	23	2018	2018	NUM
geusb-8292	183	24	:	:	PUNCT
geusb-8292	183	25	rainfall	rainfall	NOUN
geusb-8292	183	26	-	-	PUNCT
geusb-8292	183	27	runoff	runoff	NOUN
geusb-8292	183	28	modelling	modelling	NOUN
geusb-8292	183	29	using	use	VERB
geusb-8292	183	30	long	long	ADJ
geusb-8292	183	31	short	short	ADJ
geusb-8292	183	32	-	-	PUNCT
geusb-8292	183	33	term	term	NOUN
geusb-8292	183	34	memory	memory	NOUN
geusb-8292	183	35	(	(	PUNCT
geusb-8292	183	36	lstm	lstm	NOUN
geusb-8292	183	37	)	)	PUNCT
geusb-8292	183	38	networks	network	NOUN
geusb-8292	183	39	.	.	PUNCT
geusb-8292	184	1	hydrology	hydrology	NOUN
geusb-8292	184	2	and	and	CCONJ
geusb-8292	184	3	earth	earth	NOUN
geusb-8292	184	4	system	system	NOUN
geusb-8292	184	5	sciences	science	NOUN
geusb-8292	184	6	22	22	NUM
geusb-8292	184	7	,	,	PUNCT
geusb-8292	184	8	6005–6022	6005–6022	NOUN
geusb-8292	184	9	.	.	PUNCT
geusb-8292	185	1	https://	https://	PROPN
geusb-8292	185	2	doi.org/10.5194/hess-22-6005-2018	doi.org/10.5194/hess-22-6005-2018	PROPN
geusb-8292	185	3	kratzert	kratzert	PROPN
geusb-8292	185	4	,	,	PUNCT
geusb-8292	185	5	f.	f.	PROPN
geusb-8292	185	6	,	,	PUNCT
geusb-8292	185	7	klotz	klotz	PROPN
geusb-8292	185	8	,	,	PUNCT
geusb-8292	185	9	d.	d.	PROPN
geusb-8292	185	10	,	,	PUNCT
geusb-8292	185	11	herrnegger	herrnegger	NOUN
geusb-8292	185	12	,	,	PUNCT
geusb-8292	185	13	m.	m.	NOUN
geusb-8292	185	14	,	,	PUNCT
geusb-8292	185	15	sampson	sampson	PROPN
geusb-8292	185	16	,	,	PUNCT
geusb-8292	185	17	a.k	a.k	PROPN
geusb-8292	185	18	.	.	PROPN
geusb-8292	185	19	,	,	PUNCT
geusb-8292	185	20	hochreiter	hochreiter	PROPN
geusb-8292	185	21	,	,	PUNCT
geusb-8292	185	22	s.	s.	PROPN
geusb-8292	185	23	&	&	CCONJ
geusb-8292	185	24	nearing	nearing	PROPN
geusb-8292	185	25	,	,	PUNCT
geusb-8292	185	26	g.s	g.s	PROPN
geusb-8292	185	27	.	.	PROPN
geusb-8292	185	28	2019a	2019a	NUM
geusb-8292	185	29	:	:	PUNCT
geusb-8292	185	30	toward	toward	ADP
geusb-8292	185	31	improved	improved	ADJ
geusb-8292	185	32	predictions	prediction	NOUN
geusb-8292	185	33	in	in	ADP
geusb-8292	185	34	ungauged	ungauged	ADJ
geusb-8292	185	35	basins	basin	NOUN
geusb-8292	185	36	:	:	PUNCT
geusb-8292	185	37	exploiting	exploit	VERB
geusb-8292	185	38	the	the	DET
geusb-8292	185	39	power	power	NOUN
geusb-8292	185	40	of	of	ADP
geusb-8292	185	41	machine	machine	NOUN
geusb-8292	185	42	learning	learning	NOUN
geusb-8292	185	43	.	.	PUNCT
geusb-8292	186	1	water	water	NOUN
geusb-8292	186	2	resources	resource	NOUN
geusb-8292	186	3	research	research	VERB
geusb-8292	186	4	55	55	NUM
geusb-8292	186	5	,	,	PUNCT
geusb-8292	186	6	11344–11354	11344–11354	NUM
geusb-8292	186	7	.	.	PUNCT
geusb-8292	187	1	https://doi.org/10.1029/2019wr026065	https://doi.org/10.1029/2019wr026065	PRON
geusb-8292	187	2	kratzert	kratzert	NOUN
geusb-8292	187	3	,	,	PUNCT
geusb-8292	187	4	f.	f.	PROPN
geusb-8292	187	5	,	,	PUNCT
geusb-8292	187	6	klotz	klotz	PROPN
geusb-8292	187	7	,	,	PUNCT
geusb-8292	187	8	d.	d.	PROPN
geusb-8292	187	9	,	,	PUNCT
geusb-8292	187	10	shalev	shalev	NOUN
geusb-8292	187	11	,	,	PUNCT
geusb-8292	187	12	g.	g.	PROPN
geusb-8292	187	13	,	,	PUNCT
geusb-8292	187	14	klambauer	klambauer	PROPN
geusb-8292	187	15	,	,	PUNCT
geusb-8292	187	16	g.	g.	PROPN
geusb-8292	187	17	,	,	PUNCT
geusb-8292	187	18	hochreiter	hochreiter	PROPN
geusb-8292	187	19	,	,	PUNCT
geusb-8292	187	20	s.	s.	PROPN
geusb-8292	187	21	&	&	CCONJ
geusb-8292	187	22	nearing	nearing	PROPN
geusb-8292	187	23	,	,	PUNCT
geusb-8292	187	24	g.	g.	PROPN
geusb-8292	187	25	2019b	2019b	NUM
geusb-8292	187	26	:	:	PUNCT
geusb-8292	187	27	towards	towards	ADP
geusb-8292	187	28	learning	learn	VERB
geusb-8292	187	29	universal	universal	ADJ
geusb-8292	187	30	,	,	PUNCT
geusb-8292	187	31	regional	regional	ADJ
geusb-8292	187	32	,	,	PUNCT
geusb-8292	187	33	and	and	CCONJ
geusb-8292	187	34	local	local	ADJ
geusb-8292	187	35	hydrological	hydrological	ADJ
geusb-8292	187	36	behaviors	behavior	NOUN
geusb-8292	187	37	via	via	ADP
geusb-8292	187	38	machine	machine	NOUN
geusb-8292	187	39	learning	learning	NOUN
geusb-8292	187	40	applied	apply	VERB
geusb-8292	187	41	to	to	ADP
geusb-8292	187	42	large	large	ADJ
geusb-8292	187	43	-	-	PUNCT
geusb-8292	187	44	sample	sample	NOUN
geusb-8292	187	45	datasets	dataset	NOUN
geusb-8292	187	46	.	.	PUNCT
geusb-8292	188	1	hydrology	hydrology	NOUN
geusb-8292	188	2	and	and	CCONJ
geusb-8292	188	3	earth	earth	NOUN
geusb-8292	188	4	system	system	NOUN
geusb-8292	188	5	sciences	science	NOUN
geusb-8292	188	6	23	23	NUM
geusb-8292	188	7	,	,	PUNCT
geusb-8292	188	8	5089–5110	5089–5110	NUM
geusb-8292	188	9	.	.	PUNCT
geusb-8292	189	1	https://doi	https://doi	PROPN
geusb-8292	189	2	.	.	PUNCT
geusb-8292	190	1	org/10.5194	org/10.5194	PROPN
geusb-8292	190	2	/	/	SYM
geusb-8292	190	3	hess-23	hess-23	NOUN
geusb-8292	190	4	-	-	PUNCT
geusb-8292	190	5	5089	5089	NUM
geusb-8292	190	6	-	-	PUNCT
geusb-8292	190	7	2019	2019	NUM
geusb-8292	190	8	ma	ma	PROPN
geusb-8292	190	9	,	,	PUNCT
geusb-8292	190	10	k.	k.	PROPN
geusb-8292	190	11	et	et	PROPN
geusb-8292	190	12	al	al	PROPN
geusb-8292	190	13	.	.	PROPN
geusb-8292	190	14	2021	2021	NUM
geusb-8292	190	15	:	:	PUNCT
geusb-8292	190	16	transferring	transfer	VERB
geusb-8292	190	17	hydrologic	hydrologic	ADJ
geusb-8292	190	18	data	datum	NOUN
geusb-8292	190	19	across	across	ADP
geusb-8292	190	20	continents	continent	NOUN
geusb-8292	190	21	–	–	PUNCT
geusb-8292	190	22	leveraging	leverage	VERB
geusb-8292	190	23	data	datum	NOUN
geusb-8292	190	24	-	-	PUNCT
geusb-8292	190	25	rich	rich	ADJ
geusb-8292	190	26	regions	region	NOUN
geusb-8292	190	27	to	to	PART
geusb-8292	190	28	improve	improve	VERB
geusb-8292	190	29	hydrologic	hydrologic	ADJ
geusb-8292	190	30	prediction	prediction	NOUN
geusb-8292	190	31	in	in	ADP
geusb-8292	190	32	data	data	NOUN
geusb-8292	190	33	-	-	PUNCT
geusb-8292	190	34	sparse	sparse	ADJ
geusb-8292	190	35	regions	region	NOUN
geusb-8292	190	36	.	.	PUNCT
geusb-8292	191	1	water	water	NOUN
geusb-8292	191	2	resources	resource	NOUN
geusb-8292	191	3	research	research	VERB
geusb-8292	191	4	57	57	NUM
geusb-8292	191	5	,	,	PUNCT
geusb-8292	191	6	e2020wr028600	e2020wr028600	NOUN
geusb-8292	191	7	.	.	PUNCT
geusb-8292	192	1	https://doi.org/10.1029/2020wr028600	https://doi.org/10.1029/2020wr028600	PROPN
geusb-8292	192	2	mai	mai	PROPN
geusb-8292	192	3	,	,	PUNCT
geusb-8292	192	4	j.	j.	PROPN
geusb-8292	192	5	et	et	PROPN
geusb-8292	192	6	al	al	PROPN
geusb-8292	192	7	.	.	PROPN
geusb-8292	192	8	2021	2021	NUM
geusb-8292	192	9	:	:	PUNCT
geusb-8292	192	10	great	great	ADJ
geusb-8292	192	11	lakes	lake	NOUN
geusb-8292	192	12	runoff	runoff	NOUN
geusb-8292	192	13	intercomparison	intercomparison	PROPN
geusb-8292	192	14	project	project	NOUN
geusb-8292	192	15	phase	phase	NOUN
geusb-8292	192	16	3	3	NUM
geusb-8292	192	17	:	:	PUNCT
geusb-8292	192	18	lake	lake	PROPN
geusb-8292	192	19	erie	erie	PROPN
geusb-8292	192	20	(	(	PUNCT
geusb-8292	192	21	grip	grip	NOUN
geusb-8292	192	22	-	-	PUNCT
geusb-8292	192	23	e	e	NOUN
geusb-8292	192	24	)	)	PUNCT
geusb-8292	192	25	.	.	PUNCT
geusb-8292	193	1	journal	journal	NOUN
geusb-8292	193	2	of	of	ADP
geusb-8292	193	3	hydrologic	hydrologic	PROPN
geusb-8292	193	4	engineering	engineering	NOUN
geusb-8292	193	5	26	26	NUM
geusb-8292	193	6	,	,	PUNCT
geusb-8292	193	7	1–19	1–19	NOUN
geusb-8292	193	8	.	.	PUNCT
geusb-8292	194	1	https://	https://	PROPN
geusb-8292	194	2	doi.org/10.1061/(asce)he.1943-5584.0002097	doi.org/10.1061/(asce)he.1943-5584.0002097	PROPN
geusb-8292	194	3	nearing	nearing	NOUN
geusb-8292	194	4	,	,	PUNCT
geusb-8292	194	5	g.s	g.s	PROPN
geusb-8292	194	6	.	.	PROPN
geusb-8292	194	7	,	,	PUNCT
geusb-8292	194	8	kratzert	kratzert	PROPN
geusb-8292	194	9	,	,	PUNCT
geusb-8292	194	10	f.	f.	PROPN
geusb-8292	194	11	,	,	PUNCT
geusb-8292	194	12	sampson	sampson	PROPN
geusb-8292	194	13	,	,	PUNCT
geusb-8292	194	14	a.k	a.k	PROPN
geusb-8292	194	15	.	.	PROPN
geusb-8292	194	16	,	,	PUNCT
geusb-8292	194	17	pelissier	pelissier	PROPN
geusb-8292	194	18	,	,	PUNCT
geusb-8292	194	19	c.s	c.s	PROPN
geusb-8292	194	20	.	.	PROPN
geusb-8292	194	21	,	,	PUNCT
geusb-8292	194	22	klotz	klotz	PROPN
geusb-8292	194	23	,	,	PUNCT
geusb-8292	194	24	d.	d.	PROPN
geusb-8292	194	25	,	,	PUNCT
geusb-8292	194	26	frame	frame	NOUN
geusb-8292	194	27	,	,	PUNCT
geusb-8292	194	28	j.m	j.m	PROPN
geusb-8292	194	29	.	.	PROPN
geusb-8292	194	30	,	,	PUNCT
geusb-8292	194	31	prieto	prieto	PROPN
geusb-8292	194	32	,	,	PUNCT
geusb-8292	194	33	c.	c.	PROPN
geusb-8292	194	34	&	&	CCONJ
geusb-8292	194	35	gupta	gupta	PROPN
geusb-8292	194	36	,	,	PUNCT
geusb-8292	194	37	h.v	h.v	PROPN
geusb-8292	194	38	.	.	PROPN
geusb-8292	194	39	2020	2020	NUM
geusb-8292	194	40	:	:	PUNCT
geusb-8292	194	41	what	what	DET
geusb-8292	194	42	role	role	NOUN
geusb-8292	194	43	does	do	AUX
geusb-8292	194	44	hydrological	hydrological	ADJ
geusb-8292	194	45	science	science	NOUN
geusb-8292	194	46	play	play	NOUN
geusb-8292	194	47	in	in	ADP
geusb-8292	194	48	the	the	DET
geusb-8292	194	49	age	age	NOUN
geusb-8292	194	50	of	of	ADP
geusb-8292	194	51	machine	machine	NOUN
geusb-8292	194	52	learning	learning	NOUN
geusb-8292	194	53	?	?	PUNCT
geusb-8292	195	1	water	water	NOUN
geusb-8292	195	2	resources	resource	NOUN
geusb-8292	195	3	research	research	VERB
geusb-8292	195	4	57	57	NUM
geusb-8292	195	5	,	,	PUNCT
geusb-8292	195	6	e2020wr028091	e2020wr028091	ADJ
geusb-8292	195	7	.	.	PUNCT
geusb-8292	196	1	https://doi.org/10.1029/2020wr028091	https://doi.org/10.1029/2020wr028091	ADJ
geusb-8292	196	2	ouyang	ouyang	PROPN
geusb-8292	196	3	,	,	PUNCT
geusb-8292	196	4	w.	w.	PROPN
geusb-8292	196	5	,	,	PUNCT
geusb-8292	196	6	lawson	lawson	PROPN
geusb-8292	196	7	,	,	PUNCT
geusb-8292	196	8	k.	k.	PROPN
geusb-8292	196	9	,	,	PUNCT
geusb-8292	196	10	feng	feng	PROPN
geusb-8292	196	11	,	,	PUNCT
geusb-8292	196	12	d.	d.	PROPN
geusb-8292	196	13	,	,	PUNCT
geusb-8292	196	14	ye	ye	PROPN
geusb-8292	196	15	,	,	PUNCT
geusb-8292	196	16	l.	l.	PROPN
geusb-8292	196	17	,	,	PUNCT
geusb-8292	196	18	zhang	zhang	PROPN
geusb-8292	196	19	,	,	PUNCT
geusb-8292	196	20	c.	c.	PROPN
geusb-8292	196	21	&	&	CCONJ
geusb-8292	196	22	shen	shen	PROPN
geusb-8292	196	23	,	,	PUNCT
geusb-8292	196	24	c.	c.	PROPN
geusb-8292	196	25	2021	2021	NUM
geusb-8292	196	26	:	:	PUNCT
geusb-8292	196	27	continental	continental	ADJ
geusb-8292	196	28	-	-	PUNCT
geusb-8292	196	29	scale	scale	NOUN
geusb-8292	196	30	streamflow	streamflow	NOUN
geusb-8292	196	31	modeling	modeling	NOUN
geusb-8292	196	32	of	of	ADP
geusb-8292	196	33	basins	basin	NOUN
geusb-8292	196	34	with	with	ADP
geusb-8292	196	35	reservoirs	reservoir	NOUN
geusb-8292	196	36	:	:	PUNCT
geusb-8292	196	37	towards	towards	ADP
geusb-8292	196	38	a	a	DET
geusb-8292	196	39	coherent	coherent	ADJ
geusb-8292	196	40	deep	deep	ADJ
geusb-8292	196	41	-	-	PUNCT
geusb-8292	196	42	learning	learning	NOUN
geusb-8292	196	43	-	-	PUNCT
geusb-8292	196	44	based	base	VERB
geusb-8292	196	45	strategy	strategy	NOUN
geusb-8292	196	46	.	.	PUNCT
geusb-8292	197	1	journal	journal	NOUN
geusb-8292	197	2	of	of	ADP
geusb-8292	197	3	hydrology	hydrology	NOUN
geusb-8292	197	4	599	599	NUM
geusb-8292	197	5	,	,	PUNCT
geusb-8292	197	6	126455	126455	NUM
geusb-8292	197	7	.	.	PUNCT
geusb-8292	198	1	https://doi.org/10.1016/j.jhydrol.2021.126455	https://doi.org/10.1016/j.jhydrol.2021.126455	PROPN
geusb-8292	198	2	read	read	PROPN
geusb-8292	198	3	,	,	PUNCT
geusb-8292	198	4	j.s	j.s	PROPN
geusb-8292	198	5	.	.	PROPN
geusb-8292	198	6	et	et	PROPN
geusb-8292	198	7	al	al	PROPN
geusb-8292	198	8	.	.	PROPN
geusb-8292	198	9	2019	2019	NUM
geusb-8292	198	10	:	:	PUNCT
geusb-8292	198	11	process	process	NOUN
geusb-8292	198	12	-	-	PUNCT
geusb-8292	198	13	guided	guide	VERB
geusb-8292	198	14	deep	deep	ADJ
geusb-8292	198	15	learning	learning	NOUN
geusb-8292	198	16	predictions	prediction	NOUN
geusb-8292	198	17	of	of	ADP
geusb-8292	198	18	lake	lake	PROPN
geusb-8292	198	19	water	water	NOUN
geusb-8292	198	20	temperature	temperature	NOUN
geusb-8292	198	21	.	.	PUNCT
geusb-8292	199	1	water	water	NOUN
geusb-8292	199	2	resources	resource	NOUN
geusb-8292	199	3	research	research	VERB
geusb-8292	199	4	55	55	NUM
geusb-8292	199	5	,	,	PUNCT
geusb-8292	199	6	9173–9190	9173–9190	NUM
geusb-8292	199	7	.	.	PUNCT
geusb-8292	200	1	https://doi.org/10.1029/2019wr024922	https://doi.org/10.1029/2019wr024922	X
geusb-8292	200	2	reichstein	reichstein	NOUN
geusb-8292	200	3	,	,	PUNCT
geusb-8292	200	4	m.	m.	NOUN
geusb-8292	200	5	,	,	PUNCT
geusb-8292	200	6	camps	camp	NOUN
geusb-8292	200	7	-	-	PUNCT
geusb-8292	200	8	valls	vall	NOUN
geusb-8292	200	9	,	,	PUNCT
geusb-8292	200	10	g.	g.	PROPN
geusb-8292	200	11	,	,	PUNCT
geusb-8292	200	12	stevens	stevens	PROPN
geusb-8292	200	13	,	,	PUNCT
geusb-8292	200	14	b.	b.	PROPN
geusb-8292	200	15	,	,	PUNCT
geusb-8292	200	16	jung	jung	PROPN
geusb-8292	200	17	,	,	PUNCT
geusb-8292	200	18	m.	m.	NOUN
geusb-8292	200	19	,	,	PUNCT
geusb-8292	200	20	denzler	denzler	NOUN
geusb-8292	200	21	,	,	PUNCT
geusb-8292	200	22	j.	j.	PROPN
geusb-8292	200	23	,	,	PUNCT
geusb-8292	200	24	carvalhais	carvalhais	PROPN
geusb-8292	200	25	,	,	PUNCT
geusb-8292	200	26	n.	n.	PROPN
geusb-8292	200	27	&	&	CCONJ
geusb-8292	200	28	prabhat	prabhat	PROPN
geusb-8292	200	29	2019	2019	NUM
geusb-8292	200	30	:	:	PUNCT
geusb-8292	200	31	deep	deep	ADJ
geusb-8292	200	32	learning	learning	NOUN
geusb-8292	200	33	and	and	CCONJ
geusb-8292	200	34	process	process	VERB
geusb-8292	200	35	understanding	understanding	NOUN
geusb-8292	200	36	for	for	ADP
geusb-8292	200	37	data	data	NOUN
geusb-8292	200	38	-	-	PUNCT
geusb-8292	200	39	driven	drive	VERB
geusb-8292	200	40	earth	earth	NOUN
geusb-8292	200	41	system	system	NOUN
geusb-8292	200	42	science	science	NOUN
geusb-8292	200	43	.	.	PUNCT
geusb-8292	201	1	nature	nature	NOUN
geusb-8292	201	2	566(7743	566(7743	NUM
geusb-8292	201	3	)	)	PUNCT
geusb-8292	201	4	,	,	PUNCT
geusb-8292	201	5	195–204	195–204	NUM
geusb-8292	201	6	.	.	PUNCT
geusb-8292	202	1	https://doi.org/10.1038/s41586-019-0912-1	https://doi.org/10.1038/s41586-019-0912-1	NUM
geusb-8292	202	2	scharling	scharling	NOUN
geusb-8292	202	3	,	,	PUNCT
geusb-8292	202	4	m.	m.	NOUN
geusb-8292	202	5	1999a	1999a	NUM
geusb-8292	202	6	:	:	PUNCT
geusb-8292	202	7	klimagrid	klimagrid	PROPN
geusb-8292	202	8	danmark	danmark	PROPN
geusb-8292	202	9	:	:	PUNCT
geusb-8292	202	10	nedbør	nedbør	PROPN
geusb-8292	202	11	,	,	PUNCT
geusb-8292	202	12	lufttemperatur	lufttemperatur	VERB
geusb-8292	202	13	og	og	PROPN
geusb-8292	202	14	potentiel	potentiel	PROPN
geusb-8292	202	15	fordampning	fordampne	VERB
geusb-8292	202	16	20	20	NUM
geusb-8292	202	17	*	*	SYM
geusb-8292	202	18	20	20	NUM
geusb-8292	202	19	&	&	CCONJ
geusb-8292	202	20	40	40	NUM
geusb-8292	202	21	*	*	SYM
geusb-8292	202	22	40	40	NUM
geusb-8292	202	23	km	km	NOUN
geusb-8292	202	24	.	.	PUNCT
geusb-8292	203	1	danish	danish	PROPN
geusb-8292	203	2	meteorological	meteorological	PROPN
geusb-8292	203	3	institute	institute	PROPN
geusb-8292	203	4	technical	technical	PROPN
geusb-8292	203	5	report	report	PROPN
geusb-8292	203	6	99	99	NUM
geusb-8292	203	7	-	-	SYM
geusb-8292	203	8	12	12	NUM
geusb-8292	203	9	,	,	PUNCT
geusb-8292	203	10	dmi	dmi	PROPN
geusb-8292	203	11	,	,	PUNCT
geusb-8292	203	12	copenhagen	copenhagen	PROPN
geusb-8292	203	13	,	,	PUNCT
geusb-8292	203	14	dk	dk	PROPN
geusb-8292	203	15	.	.	PROPN
geusb-8292	203	16	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	203	17	http://www.geusbulletin.org	http://www.geusbulletin.org	PUNCT
geusb-8292	204	1	https://doi.org/10.22008/fk2/ycqxtr	https://doi.org/10.22008/fk2/ycqxtr	PROPN
geusb-8292	204	2	https://doi.org/10.22008/fk2/ycqxtr	https://doi.org/10.22008/fk2/ycqxtr	PROPN
geusb-8292	204	3	https://doi.org/10.22008/fk2/wcf76i	https://doi.org/10.22008/fk2/wcf76i	VERB
geusb-8292	204	4	https://doi.org/10.22008/fk2/wcf76i	https://doi.org/10.22008/fk2/wcf76i	PROPN
geusb-8292	204	5	https://doi.org/10.5194/hess-21-5293-2017	https://doi.org/10.5194/hess-21-5293-2017	PROPN
geusb-8292	204	6	https://doi.org/10.5194/hess-21-5293-2017	https://doi.org/10.5194/hess-21-5293-2017	PROPN
geusb-8292	204	7	https://doi.org/10.1016/j.envsoft.2020.104926	https://doi.org/10.1016/j.envsoft.2020.104926	PROPN
geusb-8292	204	8	https://doi.org/10.1016/j.envsoft.2020.104926	https://doi.org/10.1016/j.envsoft.2020.104926	ADJ
geusb-8292	204	9	https://doi.org/10.1016/j.jhydrol.2009.08.003	https://doi.org/10.1016/j.jhydrol.2009.08.003	NOUN
geusb-8292	204	10	https://doi.org/10.1016/s0022-1694(03)00186-0	https://doi.org/10.1016/s0022-1694(03)00186-0	PROPN
geusb-8292	204	11	https://doi.org/10.1162/neco.1997.9.8.1735	https://doi.org/10.1162/neco.1997.9.8.1735	PROPN
geusb-8292	204	12	https://doi.org/10.1016/j.envsoft.2012.09.010	https://doi.org/10.1016/j.envsoft.2012.09.010	NUM
geusb-8292	204	13	https://doi.org/10.1137/1.9781611976700.69	https://doi.org/10.1137/1.9781611976700.69	NOUN
geusb-8292	204	14	https://doi.org/10.1137/1.9781611976700.69	https://doi.org/10.1137/1.9781611976700.69	NOUN
geusb-8292	204	15	https://doi.org/10.5194/hess-22-6005-2018	https://doi.org/10.5194/hess-22-6005-2018	VERB
geusb-8292	204	16	https://doi.org/10.5194/hess-22-6005-2018	https://doi.org/10.5194/hess-22-6005-2018	NOUN
geusb-8292	205	1	https://doi.org/10.1029/2019wr026065	https://doi.org/10.1029/2019wr026065	PRON
geusb-8292	205	2	https://doi.org/10.5194/hess-23-5089-2019	https://doi.org/10.5194/hess-23-5089-2019	NUM
geusb-8292	205	3	https://doi.org/10.5194/hess-23-5089-2019	https://doi.org/10.5194/hess-23-5089-2019	PART
geusb-8292	205	4	https://doi.org/10.1029/2020wr028600	https://doi.org/10.1029/2020wr028600	PROPN
geusb-8292	205	5	https://doi.org/10.1061/(asce)he.1943-5584.0002097	https://doi.org/10.1061/(asce)he.1943-5584.0002097	NOUN
geusb-8292	205	6	https://doi.org/10.1061/(asce)he.1943-5584.0002097	https://doi.org/10.1061/(asce)he.1943-5584.0002097	NOUN
geusb-8292	206	1	https://doi.org/10.1029/2020wr028091	https://doi.org/10.1029/2020wr028091	PUNCT
geusb-8292	206	2	https://doi.org/10.1016/j.jhydrol.2021.126455	https://doi.org/10.1016/j.jhydrol.2021.126455	ADJ
geusb-8292	206	3	https://doi.org/10.1029/2019wr024922	https://doi.org/10.1029/2019wr024922	PROPN
geusb-8292	206	4	https://doi.org/10.1038/s41586-019-0912-1	https://doi.org/10.1038/s41586-019-0912-1	NUM
geusb-8292	206	5	koch	koch	PROPN
geusb-8292	206	6	&	&	CCONJ
geusb-8292	206	7	schneider	schneider	PROPN
geusb-8292	206	8	2022	2022	NUM
geusb-8292	206	9	:	:	PUNCT
geusb-8292	206	10	geus	geus	NOUN
geusb-8292	206	11	bulletin	bulletin	NOUN
geusb-8292	206	12	49	49	NUM
geusb-8292	206	13	.	.	PUNCT
geusb-8292	206	14	8292	8292	NUM
geusb-8292	206	15	.	.	PUNCT
geusb-8292	207	1	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	207	2	7	7	NUM
geusb-8292	207	3	of	of	ADP
geusb-8292	207	4	7	7	NUM
geusb-8292	207	5	www.geusbul	www.geusbul	NOUN
geusb-8292	207	6	let	let	VERB
geusb-8292	207	7	in.org	in.org	ADJ
geusb-8292	207	8	scharling	scharling	NOUN
geusb-8292	207	9	,	,	PUNCT
geusb-8292	207	10	m.	m.	NOUN
geusb-8292	207	11	1999b	1999b	NUM
geusb-8292	207	12	:	:	PUNCT
geusb-8292	207	13	klimagrid	klimagrid	PROPN
geusb-8292	207	14	danmark	danmark	PROPN
geusb-8292	207	15	:	:	PUNCT
geusb-8292	207	16	nedbør	nedbør	PROPN
geusb-8292	207	17	10	10	NUM
geusb-8292	207	18	*	*	SYM
geusb-8292	207	19	10	10	NUM
geusb-8292	207	20	km	km	NOUN
geusb-8292	207	21	(	(	PUNCT
geusb-8292	207	22	ver	ver	NOUN
geusb-8292	207	23	.	.	PROPN
geusb-8292	207	24	2	2	NUM
geusb-8292	207	25	)	)	PUNCT
geusb-8292	207	26	.	.	PUNCT
geusb-8292	208	1	danish	danish	PROPN
geusb-8292	208	2	  	  	SPACE
geusb-8292	208	3	meteorological	meteorological	PROPN
geusb-8292	208	4	institute	institute	PROPN
geusb-8292	208	5	technical	technical	PROPN
geusb-8292	208	6	report	report	PROPN
geusb-8292	208	7	99	99	NUM
geusb-8292	208	8	-	-	SYM
geusb-8292	208	9	15	15	NUM
geusb-8292	208	10	,	,	PUNCT
geusb-8292	208	11	dmi	dmi	PROPN
geusb-8292	208	12	,	,	PUNCT
geusb-8292	208	13	copenhagen	copenhagen	PROPN
geusb-8292	208	14	,	,	PUNCT
geusb-8292	208	15	dk	dk	PROPN
geusb-8292	208	16	.	.	PROPN
geusb-8292	208	17	shen	shen	PROPN
geusb-8292	208	18	,	,	PUNCT
geusb-8292	208	19	c.	c.	PROPN
geusb-8292	208	20	2018	2018	NUM
geusb-8292	208	21	:	:	PUNCT
geusb-8292	208	22	a	a	DET
geusb-8292	208	23	trans	trans	ADJ
geusb-8292	208	24	-	-	ADJ
geusb-8292	208	25	disciplinary	disciplinary	ADJ
geusb-8292	208	26	review	review	NOUN
geusb-8292	208	27	of	of	ADP
geusb-8292	208	28	deep	deep	ADJ
geusb-8292	208	29	learning	learning	NOUN
geusb-8292	208	30	research	research	NOUN
geusb-8292	208	31	and	and	CCONJ
geusb-8292	208	32	  	  	SPACE
geusb-8292	208	33	its	its	PRON
geusb-8292	208	34	relevance	relevance	NOUN
geusb-8292	208	35	for	for	ADP
geusb-8292	208	36	water	water	NOUN
geusb-8292	208	37	resources	resource	NOUN
geusb-8292	208	38	scientists	scientist	NOUN
geusb-8292	208	39	.	.	PUNCT
geusb-8292	209	1	water	water	NOUN
geusb-8292	209	2	resources	resource	NOUN
geusb-8292	209	3	research	research	NOUN
geusb-8292	209	4	54	54	NUM
geusb-8292	209	5	,	,	PUNCT
geusb-8292	209	6	8558–8593	8558–8593	NUM
geusb-8292	209	7	.	.	PUNCT
geusb-8292	210	1	https://doi	https://doi	PROPN
geusb-8292	210	2	.	.	PROPN
geusb-8292	210	3	org/10.1029/2018wr022643	org/10.1029/2018wr022643	PROPN
geusb-8292	210	4	stisen	stisen	PROPN
geusb-8292	210	5	,	,	PUNCT
geusb-8292	210	6	s.	s.	PROPN
geusb-8292	210	7	,	,	PUNCT
geusb-8292	210	8	ondracek	ondracek	PROPN
geusb-8292	210	9	,	,	PUNCT
geusb-8292	210	10	m.	m.	NOUN
geusb-8292	210	11	,	,	PUNCT
geusb-8292	210	12	troldborg	troldborg	PROPN
geusb-8292	210	13	,	,	PUNCT
geusb-8292	210	14	l.	l.	PROPN
geusb-8292	210	15	,	,	PUNCT
geusb-8292	210	16	schneider	schneider	PROPN
geusb-8292	210	17	,	,	PUNCT
geusb-8292	210	18	r.j.m	r.j.m	NOUN
geusb-8292	210	19	.	.	PROPN
geusb-8292	210	20	&	&	CCONJ
geusb-8292	210	21	van	van	PROPN
geusb-8292	210	22	thil	thil	PROPN
geusb-8292	210	23	,	,	PUNCT
geusb-8292	210	24	m.j	m.j	PROPN
geusb-8292	210	25	.	.	PROPN
geusb-8292	210	26	2019	2019	NUM
geusb-8292	210	27	:	:	PUNCT
geusb-8292	210	28	national	national	ADJ
geusb-8292	210	29	vandressource	vandressource	NOUN
geusb-8292	210	30	model	model	NOUN
geusb-8292	210	31	.	.	PUNCT
geusb-8292	211	1	modelopstilling	modelopstille	VERB
geusb-8292	211	2	og	og	PROPN
geusb-8292	211	3	kalibrering	kalibrere	VERB
geusb-8292	211	4	af	af	PROPN
geusb-8292	211	5	dk	dk	PROPN
geusb-8292	211	6	-	-	NOUN
geusb-8292	211	7	model	model	NOUN
geusb-8292	211	8	2019	2019	NUM
geusb-8292	211	9	.	.	PUNCT
geusb-8292	212	1	danmarks	danmark	NOUN
geusb-8292	212	2	og	og	PROPN
geusb-8292	212	3	grønlands	grønland	NOUN
geusb-8292	212	4	geologiske	geologiske	PROPN
geusb-8292	212	5	undersøgelse	undersøgelse	PROPN
geusb-8292	212	6	rapport	rapport	PROPN
geusb-8292	212	7	2019/31	2019/31	PROPN
geusb-8292	212	8	,	,	PUNCT
geusb-8292	212	9	geus	geus	NOUN
geusb-8292	212	10	,	,	PUNCT
geusb-8292	212	11	copenhagen	copenhagen	PROPN
geusb-8292	212	12	,	,	PUNCT
geusb-8292	212	13	dk	dk	PROPN
geusb-8292	212	14	.	.	PROPN
geusb-8292	212	15	wagener	wagener	PROPN
geusb-8292	212	16	,	,	PUNCT
geusb-8292	212	17	t.	t.	PROPN
geusb-8292	212	18	,	,	PUNCT
geusb-8292	212	19	wheater	wheater	PROPN
geusb-8292	212	20	,	,	PUNCT
geusb-8292	212	21	h.s	h.s	PROPN
geusb-8292	212	22	.	.	PROPN
geusb-8292	212	23	&	&	CCONJ
geusb-8292	212	24	gupta	gupta	PROPN
geusb-8292	212	25	,	,	PUNCT
geusb-8292	212	26	h.v	h.v	PROPN
geusb-8292	212	27	.	.	PROPN
geusb-8292	212	28	2004	2004	NUM
geusb-8292	212	29	:	:	PUNCT
geusb-8292	213	1	rainfall	rainfall	NOUN
geusb-8292	213	2	-	-	PUNCT
geusb-8292	213	3	runoff	runoff	NOUN
geusb-8292	213	4	modelling	modelling	NOUN
geusb-8292	213	5	in	in	ADP
geusb-8292	213	6	gauged	gauge	VERB
geusb-8292	213	7	and	and	CCONJ
geusb-8292	213	8	ungauged	ungauged	ADJ
geusb-8292	213	9	catchments	catchment	NOUN
geusb-8292	213	10	,	,	PUNCT
geusb-8292	213	11	332	332	NUM
geusb-8292	213	12	pp	pp	NOUN
geusb-8292	213	13	.	.	PUNCT
geusb-8292	214	1	london	london	PROPN
geusb-8292	214	2	:	:	PUNCT
geusb-8292	214	3	imperial	imperial	ADJ
geusb-8292	214	4	college	college	NOUN
geusb-8292	214	5	press	press	NOUN
geusb-8292	214	6	.	.	PUNCT
geusb-8292	215	1	https://doi.org/10.1142/p335	https://doi.org/10.1142/p335	PROPN
geusb-8292	215	2	https://doi.org/10.34194/geusb.v49.8292	https://doi.org/10.34194/geusb.v49.8292	PROPN
geusb-8292	215	3	http://www.geusbulletin.org	http://www.geusbulletin.org	PUNCT
geusb-8292	215	4	https://doi.org/10.1029/2018wr022643	https://doi.org/10.1029/2018wr022643	PROPN
geusb-8292	215	5	https://doi.org/10.1029/2018wr022643	https://doi.org/10.1029/2018wr022643	PROPN
geusb-8292	215	6	https://doi.org/10.1142/p335	https://doi.org/10.1142/p335	PROPN
geusb-8292	215	7	long	long	ADJ
geusb-8292	215	8	short	short	ADJ
geusb-8292	215	9	-	-	PUNCT
geusb-8292	215	10	term	term	NOUN
geusb-8292	215	11	memory	memory	NOUN
geusb-8292	215	12	networks	network	NOUN
geusb-8292	215	13	enhance	enhance	VERB
geusb-8292	215	14	rainfall	rainfall	NOUN
geusb-8292	215	15	-	-	PUNCT
geusb-8292	215	16	runoff	runoff	NOUN
geusb-8292	215	17	modelling	modelling	NOUN
geusb-8292	215	18	at	at	ADP
geusb-8292	215	19	the	the	DET
geusb-8292	215	20	national	national	ADJ
geusb-8292	215	21	scale	scale	NOUN
geusb-8292	215	22	of	of	ADP
geusb-8292	215	23	denmark	denmark	NOUN
geusb-8292	215	24	abstract	abstract	ADJ
geusb-8292	215	25	acknowledgements	acknowledgement	NOUN
geusb-8292	215	26	references	reference	NOUN
geusb-8292	215	27	figures	figure	VERB
geusb-8292	215	28	fig	fig	NOUN
geusb-8292	215	29	.	.	PUNCT
geusb-8292	216	1	1	1	NUM
geusb-8292	216	2	map	map	NOUN
geusb-8292	216	3	of	of	ADP
geusb-8292	216	4	denmark	denmark	NOUN
geusb-8292	216	5	showing	show	VERB
geusb-8292	216	6	the	the	DET
geusb-8292	216	7	301	301	NUM
geusb-8292	216	8	catchments	catchment	NOUN
geusb-8292	216	9	used	use	VERB
geusb-8292	216	10	in	in	ADP
geusb-8292	216	11	this	this	DET
geusb-8292	216	12	study	study	NOUN
geusb-8292	216	13	.	.	PUNCT
geusb-8292	217	1	60	60	NUM
geusb-8292	217	2	catchments	catchment	NOUN
geusb-8292	217	3	were	be	AUX
geusb-8292	217	4	randomly	randomly	ADV
geusb-8292	217	5	sam	sam	PROPN
geusb-8292	217	6	fig	fig	PROPN
geusb-8292	217	7	.	.	PUNCT
geusb-8292	218	1	2	2	NUM
geusb-8292	218	2	dynamic	dynamic	ADJ
geusb-8292	218	3	input	input	NOUN
geusb-8292	218	4	data	datum	NOUN
geusb-8292	218	5	for	for	ADP
geusb-8292	218	6	a	a	DET
geusb-8292	218	7	single	single	ADJ
geusb-8292	218	8	catchment	catchment	NOUN
geusb-8292	218	9	used	use	VERB
geusb-8292	218	10	to	to	PART
geusb-8292	218	11	train	train	VERB
geusb-8292	218	12	the	the	DET
geusb-8292	218	13	lstm	lstm	NOUN
geusb-8292	218	14	.	.	PUNCT
geusb-8292	219	1	a	a	DET
geusb-8292	219	2	:	:	PUNCT
geusb-8292	219	3	precipitation	precipitation	NOUN
geusb-8292	219	4	.	.	PUNCT
geusb-8292	220	1	b	b	X
geusb-8292	220	2	:	:	PUNCT
geusb-8292	220	3	potent	potent	ADJ
geusb-8292	220	4	fig	fig	NOUN
geusb-8292	220	5	.	.	PUNCT
geusb-8292	221	1	3	3	NUM
geusb-8292	221	2	cumulative	cumulative	ADJ
geusb-8292	221	3	density	density	NOUN
geusb-8292	221	4	functions	function	NOUN
geusb-8292	221	5	for	for	ADP
geusb-8292	221	6	kge	kge	NOUN
geusb-8292	221	7	and	and	CCONJ
geusb-8292	221	8	fbal	fbal	ADJ
geusb-8292	221	9	in	in	ADP
geusb-8292	221	10	the	the	DET
geusb-8292	221	11	test	test	NOUN
geusb-8292	221	12	period	period	NOUN
geusb-8292	221	13	for	for	ADP
geusb-8292	221	14	runoff	runoff	NOUN
geusb-8292	221	15	simulated	simulate	VERB
geusb-8292	221	16	by	by	ADP
geusb-8292	221	17	the	the	DET
geusb-8292	221	18	fig	fig	NOUN
geusb-8292	221	19	.	.	PUNCT
geusb-8292	222	1	4	4	NUM
geusb-8292	222	2	two	two	NUM
geusb-8292	222	3	example	example	NOUN
geusb-8292	222	4	catchments	catchment	NOUN
geusb-8292	222	5	showing	show	VERB
geusb-8292	222	6	the	the	DET
geusb-8292	222	7	observed	observed	ADJ
geusb-8292	222	8	(	(	PUNCT
geusb-8292	222	9	obs	obs	PROPN
geusb-8292	222	10	)	)	PUNCT
geusb-8292	222	11	and	and	CCONJ
geusb-8292	222	12	simulated	simulate	VERB
geusb-8292	222	13	runoff	runoff	NOUN
geusb-8292	222	14	for	for	ADP
geusb-8292	222	15	the	the	DET
geusb-8292	222	16	test	test	NOUN
geusb-8292	222	17	period	period	NOUN
geusb-8292	222	18	.	.	PUNCT
geusb-8292	223	1	a	a	PRON