Schemas#

calib_param_file#

Calibrated parameters for various modules for all gages in an NWM domain (e.g., CONUS).

Sample file path: inputs/region/pseudo_calib_params/sampled_params_conus.csv

Example rows:

gage_id	formulation	MFSNO	CWP	VCMX25	MP	RSURF_SNOW	RSURF_EXP	SCAMAX	b	satdk	satpsi	slope	maxsmc	wltsmc	max_gw_storage	Cgw	expon	Kn	Klf	refkdt	mfmax	uadj	si	mfmin	scf	nmf	tipm	pxtemp	plwhc	daygm	smcmin	smcmax	van_genuchten_alpha	van_genuchten_n	hydraulic_conductivity	ponded_depth_max	field_capacity	df	cc	hcan	lai	subalb	ems	cg	zo	rho	rhog	Ks	de	avo	apr	a_Xinanjiang_inflection_point_parameter	b_Xinanjiang_shape_parameter	x_Xinanjiang_shape_parameter	uztwm	uzfwm	lztwm	lzfsm	lzfpm	adimp	uzk	lzpk	lzsk	zperc	rexp	pctim	pfree	riva	side
01010000	noah-owp-modular cfe-s t-route	2.5681848800643285	0.3286171733536613	98.26779571658672	12.345915915145532	34.57680991125569	4.064091503042371	0.9712745199335464	3.7414847994010367	0.0009141315202519	0.2682757844834037	0.7532535832349109	0.4130823012978584	0.2589183149092599	0.1352373803701926	0.0004228761310245	1.1540687515916113	0.3326644885346328	0.8494590266511353	3.7047342427645367	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
01010000	noah-owp-modular snow-17 lasam t-route	1.7202166366984653	0.2830454483663369	55.7216447075499	7.395125941680879	64.91094869284314	4.532964185028021	0.839432321093368	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	0.2549536985740628	0.1149808945005032	3395.942668181262	0.0402573508525195	1.3993208237988155	0.1860697866529445	0.4344457454145048	2.8034892811290693	0.1682210213074931	0.0212834071116516	0.1391684172778563	0.7052654753641924	0.1892796609353877	1.8393994158286835	0.8245934418227354	2.6163411478418066	85.65653278592669	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan
01010000	noah-owp-modular ueb cfe-x t-route	1.6984225027876014	0.1138073585146865	44.18211099270653	10.7458769168222	41.55877300879165	2.6584257451986466	0.9894877010479544	6.451208746356487	0.0009931305806678	0.4331962074757012	0.2281443013468404	0.2915759136119435	0.1545028069618073	0.1101811687158985	0.00173408132033	4.603211031471964	0.9632723151253538	0.1889839116526389	0.1175267001634975	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	1.451971818772199	0.2253714587504531	2.6267503130197287	1.0381689683179314	0.2723324489894099	0.9878101435547773	2.104278810378881	0.0096068438949711	346.4354100199481	1291.644609708449	6.939487504771504	0.3945507373583731	0.8990968927991766	83059.92094090296	-0.4349516338584633	2.974069284705172	4.643406523991181	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan	nan

Schema:

Column	Description	Type
gage_id	Unique identifier for each calibration gage.	object
formulation	NextGen formualtion calibrated for a given gage (e.g., nom-cfes, nom-sac)	object
MFSNO	NOM parameter: Melt factor for snow depletion curve	float64
CWP	NOM parameter: Canopy water capacity	float64
VCMX25	NOM parameter: Maximum canopy storage	float64
MP	NOM parameter: MP	float64
RSURF_SNOW	NOM parameter: Snow surface roughness	float64
RSURF_EXP	NOM parameter: Snow surface roughness exponent	float64
SCAMAX	NOM parameter: SCAMAX	float64
b	CFE parameter: b	float64
satdk	CFE parameter: satdk	float64
satpsi	CFE parameter: satpsi	float64
slope	CFE parameter: slope	float64
maxsmc	CFE parameter: maxsmc	float64
wltsmc	CFE parameter: wltsmc	float64
max_gw_storage	CFE parameter: max_gw_storage	float64
Cgw	CFE parameter: Cgw	float64
expon	CFE parameter: expon	float64
Kn	CFE parameter: Kn	float64
Klf	CFE parameter: Klf	float64
refkdt	CFE parameter: refkdt	float64
mfmax	snow-17 parameter: mfmax	float64
uadj	snow-17 parameter: uadj	float64
si	snow-17 parameter: si	float64
mfmin	snow-17 parameter: mfmin	float64
scf	snow-17 parameter: scf	float64
nmf	snow-17 parameter: nmf	float64
tipm	snow-17 parameter: tipm	float64
pxtemp	snow-17 parameter: pxtemp	float64
plwhc	snow-17 parameter: plwhc	float64
daygm	snow-17 parameter: daygm	float64
smcmin	lasam parameter: smcmin	float64
smcmax	lasam parameter: smcmax	float64
van_genuchten_alpha	lasam parameter: van_genuchten_alpha	float64
van_genuchten_n	lasam parameter: van_genuchten_n	float64
hydraulic_conductivity	lasam parameter: hydraulic_conductivity	float64
ponded_depth_max	lasam parameter: ponded_depth_max	float64
field_capacity	lasam parameter: field_capacity	float64
df	UEB parameter: df	float64
cc	UEB parameter: cc	float64
hcan	UEB parameter: hcan	float64
lai	UEB parameter: lai	float64
subalb	UEB parameter: subalb	float64
ems	UEB parameter: ems	float64
cg	UEB parameter: cg	float64
zo	UEB parameter: zo	float64
rho	UEB parameter: rho	float64
rhog	UEB parameter: rhog	float64
Ks	UEB parameter: Ks	float64
de	UEB parameter: de	float64
avo	UEB parameter: avo	float64
apr	UEB parameter: apr	float64
a_Xinanjiang_inflection_point_parameter	CFE-X parameter: a_Xinanjiang_inflection_point_parameter	float64
b_Xinanjiang_shape_parameter	CFE-X parameter: b_Xinanjiang_shape_parameter	float64
x_Xinanjiang_shape_parameter	CFE-X parameter: x_Xinanjiang_shape_parameter	float64
uztwm	sac-sma parameter: uztwm	float64
uzfwm	sac-sma parameter: uzfwm	float64
lztwm	sac-sma parameter: lztwm	float64
lzfsm	sac-sma parameter: lzfsm	float64
lzfpm	sac-sma parameter: lzfpm	float64
adimp	sac-sma parameter: adimp	float64
uzk	sac-sma parameter: uzk	float64
lzpk	sac-sma parameter: lzpk	float64
lzsk	sac-sma parameter: lzsk	float64
zperc	sac-sma parameter: zperc	float64
rexp	sac-sma parameter: rexp	float64
pctim	sac-sma parameter: pctim	float64
pfree	sac-sma parameter: pfree	float64
riva	sac-sma parameter: riva	float64
side	sac-sma parameter: side	float64

calval_stats_file#

Calibration and validation statistics for all gages in an NWM domain (e.g., CONUS).

Sample file path: inputs/region/calval_stats/stat_calval_all_conus.parquet

Example rows:

formulation	gage_id	evalPeriod	bias	rmse	cor	nse	nselog	nseWt	kge	msof	hyperResMultiObj	nnsesq	eventmultiobj	lbem	lbemprime	corr1	pod	far	csi	nnse	peak_bias	peak_tm_err_hr	event_volume_bias
noah-owp-modular cfe-s t-route	01010000	calib	-4.22313711118399	6.340465322534651	0.688672993019667	0.352110886451316	0.289938317202322	0.3210246018268189	0.683557516268751	1197.87649904829	0.3407426694755759	0.3525668325301929	96.2420588007148	-14.6322865028915	-2.3165845788185697	0.614269192322281	0.6734475374732329	0.467174925878865	0.423426455738808	0.606836947812907	120.710086685077	8.1	59.5400169741716
noah-owp-modular cfe-s t-route	01010000	full	-15.5504575885424	5.76809385974621	0.6929937073565079	0.3606695975617929	-0.0769408622647187	0.141864367648537	0.654327254839115	1357.91116071561	0.3847846675916339	0.360173479418255	94.85988221191192	-5.0865720336511	-0.888828280571734	0.6233670936801109	0.522358859698155	0.3853995396251229	0.393473684210526	0.610005157296345	118.327573987421	7.63414634146341	59.6583445486478
noah-owp-modular cfe-s t-route	01010000	valid	-37.4902702855678	4.54614536935466	0.712848487187317	0.388788333058551	-0.575071079915985	-0.0931413734287169	0.527757083492435	640.108086710608	0.302740552732747	0.471794395615111	81.3309055664079	-100.72445737502	-8.38400037333542	0.623214128732094	0.3573099415204679	0.101470588235294	0.3434513771781899	0.6206509178885811	109.960685728188	8.04	38.3862353237379

Schema:

Column	Description	Type
formulation	NextGen formualtion calibrated for a given gage	object
gage_id	Unique identifier for each gage	object
evalPeriod	Evaluation period for the statistics (e.g., calibration, validation, and full periods)	object
bias	Metric: bias	float64
rmse	Metric: root mean square error	float64
cor	Metric: Pearson correlation	float64
nse	Metric: Nash-Sutcliffe efficiency	float64
nselog	Metric: Nash-Sutcliffe efficiency (logarithmic)	float64
nseWt	Metric: weighted Nash-Sutcliffe efficiency	float64
kge	Metric: Kling-Gupta efficiency	float64
msof	Metric: mean squared error of the forecast	float64
hyperResMultiObj	Metric: hyper-resolution multi-objective	float64
nnsesq	Metric: normalized Nash-Sutcliffe efficiency squared	float64
eventmultiobj	Metric: event-based multi-objective	float64
lbem	Metric: log bias error metric	float64
lbemprime	Metric: modified log bias error metric	float64
corr1	Metric: correlation coefficient 1	float64
pod	Metric: probability of detection	float64
far	Metric: false alarm ratio	float64
csi	Metric: critical success index	float64
nnse	Metric: normalized Nash-Sutcliffe efficiency	float64
peak_bias	Metric: event peak bias	float64
peak_tm_err_hr	Metric: event peak time error in hours	float64
event_volume_bias	Metric: event volume bias	float64

divide_huc12_cwt_file#

Catchment to HUC12 mapping file used in formulation regionalization. Each catchment may overlap with multiple HUC12 watersheds. It is desirable for the total overlap percentage for any given catchment to be as close to 100% as possible.

Sample file path: inputs/region/cwt_divide_huc12/cwt_divide_huc12_conus.csv

Example rows:

divide_id	huc_12	overlap_area	areasqkm	original_area	overlap_percentage	nearest_dist_m
cat-1	11000060401	0.1	0.07	0.12	86.07	nan
cat-10	11000030301	0.0	0.0	0.0	31.13	nan
cat-100	10900020107	97.01	57.42	103.64	93.61	nan

Schema:

Column	Description	Type
divide_id	Unique identifier for each catchment.	object
huc_12	12-digit Hydrologic Unit Code (HUC12) representing the watershed in which the catchment is located.	int64
overlap_area	Area of overlap between the catchment and the HUC12 watershed.	float64
areasqkm	Area of the catchment in square kilometers.	float64
original_area	Original area of the catchment before any processing or adjustments.	float64
overlap_percentage	Percentage of the catchment area that overlaps with the HUC12 watershed.	float64
nearest_dist_m	Nearest distance in meters between the catchment and the HUC12 watershed, when there is no overlap.	float64

donor_gage_file#

List of all calibration gages accross all NWM domains. Note list of potential donor gages can be a subset of this list, depending on gages included in the cal/val stats file.

Sample file path: inputs/region/gages_nwm4_calib_all.csv

Example rows:

gage_id	nws_id	agency	station_name	domain	domain_id	nwm_v3_calibration	headwater_calibration	latitude	longitude
01021480	WSLM1	USGS	Old Stream near Wesley, Maine	CONUS	3	True	True	44.9369444	-67.7361111
01029200	SBSM1	USGS	Seboeis River near Shin Pond, Maine	CONUS	3	True	True	46.14305556	-68.6336111
01029500	GRNM1	USGS	East Branch Penobscot River at Grindstone, Maine	CONUS	3	True	True	45.73027778	-68.5894444

Schema:

Column	Description	Type
gage_id	Unique identifier for each gage.	object
nws_id	National Weather Service (NWS) gage identifier.	object
agency	Agency responsible for the gage.	object
station_name	Name of the gage station.	object
domain	Hydrologic domain of the gage.	object
domain_id	Identifier for the hydrologic domain.	int64
nwm_v3_calibration	Indicates if the gage was used in NWM version 3 calibration.	bool
headwater_calibration	Indicates if the gage is part of headwater calibration for NWM version 4.	bool
latitude	Latitude of the gage location.	float64
longitude	Longitude of the gage location.	float64

formulation_cost#

File containing computational costs (in seconds) for all formulations being evaluated.

Sample file path: inputs/region/formulation_costs_secs_per_catchment.csv

Example rows:

formulation	cost
noah-owp-modular cfe-s t-route	10
noah-owp-modular cfe-x t-route	10
noah-owp-modular lasam t-route	15

Schema:

Column	Description	Type
formulation	Name of the NextGen formulation being evaluated.	object
cost	cost	int64

gage_divide_cwt_file#

Crosswalk table linking gages to catchments (i.e., divides).

Sample file path: inputs/region/cwt_divide_gage/calib_gage_divide_conus.parquet

Example rows:

gage_id	divide_id	toid	areasqkm	vpuid	type
02365470	cat-503034	nex-503035	16.58834950949662	03W	network
02365470	cat-503032	nex-503033	11.973599720998799	03W	network
02365470	cat-503033	nex-503034	10.24515036450065	03W	network

Schema:

Column	Description	Type
gage_id	Unique identifier for each gage.	object
divide_id	Unique identifier for each catchment.	object
toid	Unique identifier for the nexus that the catchment flows to.	object
areasqkm	Area of the catchment in square kilometers.	float64
vpuid	VPU the catchment belongs to.	object
type	type	object

hlr.attr_data_file#

File containing HLR attribute data for all catchments in a NWM domain (e.g., CONUS).

Sample file path: inputs/region/attr_datasets/hlr/attr_hlr_conus.parquet

Example rows:

divide_id	AQPERMNEW	SLOPE	TAVE	PPT	PET	SAND	PMPE	MINELE	RELIEF	PFLATTOT	PFLATLOW	PFLATUP
cat-10	1.0	0.98096299171	49.68560028076	47.39239883423	25.74370002747	47.66790008545	21.64870071411	0.0	91.0	47.0	36.0	11.0
cat-100	4.062233885523227	0.7358617228741067	49.32496685256188	47.28242879080685	25.56762630800962	75.67956712022041	21.714803633677842	0.0	98.86110218981413	64.08453199974686	59.65283519760585	4.431696802141013
cat-1000	1.0	5.13249015808	39.36360168457	39.26169967651	20.641599655150003	27.19339942932	18.62010002136	203.00000000000003	761.9999999999999	8.0	8.0	0.0

Schema:

Column	Description	Type
divide_id	divide_id	object
AQPERMNEW	aquifer permeability	float64
SLOPE	mean slope	float64
TAVE	mean annual temperature	float64
PPT	mean annual precipitation	float64
PET	mean annual potential evaporatranspiration	float64
SAND	percentage of sand in the soil	float64
PMPE	mean annual precpitation minus PET	float64
MINELE	minimum elevation	float64
RELIEF	relief	float64
PFLATTOT	total percentage of flatland	float64
PFLATLOW	percentage of flatland in the lowland area	float64
PFLATUP	percentage of flatland in the upland area	float64

hlr.attr_select_file#

File to configure the selection of HLR attributes for parameter regionalization.

Sample file path: inputs/region/attr_config/attr_selection_hlr.csv

Example rows:

select	attr_name	description
1	AQPERMNEW	aquifer permeability
0	SLOPE	mean slope
1	TAVE	mean annual temperature

Schema:

Column	Description	Type
select	Whether to select this attribute for parameter regionalization (1 for yes, 0 for no).	int64
attr_name	Name of the HLR attribute to be selected for parameter regionalization.	object
description	Description of the HLR attribute.	object

hydroatlas.attr_data_file#

File containing HydroATLAS attribute data for all catchments in a NWM domain (e.g., CONUS).

Sample file path: inputs/region/attr_datasets/hydroatlas/attr_hydroatlas_conus.parquet

Example rows:

div_id	dis_m3_pyr	dis_m3_pmn	dis_m3_pmx	run_mm_syr	inu_pc_smn	inu_pc_umn	inu_pc_smx	inu_pc_umx	inu_pc_slt	inu_pc_ult	ria_ha_ssu	ria_ha_usu	riv_tc_ssu	riv_tc_usu	gwt_cm_sav	ele_mt_sav	ele_mt_uav	ele_mt_smn	ele_mt_smx	slp_dg_sav	slp_dg_uav	sgr_dk_sav	clz_cl_smj	cls_cl_smj	tmp_dc_syr	tmp_dc_uyr	tmp_dc_smn	tmp_dc_smx	tmp_dc_s01	tmp_dc_s02	tmp_dc_s03	tmp_dc_s04	tmp_dc_s05	tmp_dc_s06	tmp_dc_s07	tmp_dc_s08	tmp_dc_s09	tmp_dc_s10	tmp_dc_s11	tmp_dc_s12	pre_mm_syr	pre_mm_uyr	pre_mm_s01	pre_mm_s02	pre_mm_s03	pre_mm_s04	pre_mm_s05	pre_mm_s06	pre_mm_s07	pre_mm_s08	pre_mm_s09	pre_mm_s10	pre_mm_s11	pre_mm_s12	pet_mm_syr	pet_mm_uyr	pet_mm_s01	pet_mm_s02	pet_mm_s03	pet_mm_s04	pet_mm_s05	pet_mm_s06	pet_mm_s07	pet_mm_s08	pet_mm_s09	pet_mm_s10	pet_mm_s11	pet_mm_s12	aet_mm_syr	aet_mm_uyr	aet_mm_s01	aet_mm_s02	aet_mm_s03	aet_mm_s04	aet_mm_s05	aet_mm_s06	aet_mm_s07	aet_mm_s08	aet_mm_s09	aet_mm_s10	aet_mm_s11	aet_mm_s12	ari_ix_sav	ari_ix_uav	cmi_ix_syr	cmi_ix_uyr	cmi_ix_s01	cmi_ix_s02	cmi_ix_s03	cmi_ix_s04	cmi_ix_s05	cmi_ix_s06	cmi_ix_s07	cmi_ix_s08	cmi_ix_s09	cmi_ix_s10	cmi_ix_s11	cmi_ix_s12	glc_cl_smj	glc_pc_s11	glc_pc_s12	glc_pc_s13	glc_pc_s14	glc_pc_s16	glc_pc_s22	glc_pc_u11	glc_pc_u12	glc_pc_u13	glc_pc_u14	glc_pc_u16	glc_pc_u22	pnv_cl_smj	pnv_pc_s04	pnv_pc_s12	pnv_pc_u12	wet_cl_smj	crp_pc_sse	crp_pc_use	pst_pc_sse	pst_pc_use	ire_pc_sse	ire_pc_use	pac_pc_sse	pac_pc_use	tbi_cl_smj	tec_cl_smj	fmh_cl_smj	fec_cl_smj	cly_pc_sav	cly_pc_uav	slt_pc_sav	slt_pc_uav	snd_pc_sav	snd_pc_uav	soc_th_sav	soc_th_uav	swc_pc_syr	swc_pc_uyr	swc_pc_s01	swc_pc_s02	swc_pc_s03	swc_pc_s04	swc_pc_s07	swc_pc_s08	swc_pc_s09	swc_pc_s10	swc_pc_s11	swc_pc_s12	lit_cl_smj	kar_pc_use	ero_kh_sav	ero_kh_uav	pop_ct_ssu	pop_ct_usu	ppd_pk_sav	ppd_pk_uav	urb_pc_sse	nli_ix_sav	nli_ix_uav	rdd_mk_sav	rdd_mk_uav	hft_ix_s93	hft_ix_u93	hft_ix_s09	hft_ix_u09	gad_id_smj	gdp_ud_sav	gdp_ud_ssu	gdp_ud_usu	hdi_ix_sav
1	0.043	0.005	0.139	2.0	0.0	0.0	0.0	1.0	0.0	2.0	1.952	4.809	2.73	5.018	848.0	223.0	281.0	82.0	917.0	31.0	44.0	72.0	15.0	103.0	223.0	222.00000000000003	115.00000000000001	339.0	115.00000000000001	142.0	169.0	210.00000000000003	255.0	306.0	339.0	332.0	295.0	232.0	159.0	116.0	95.0	99.0	13.0	10.0	10.0	4.0	1.0	1.0	8.0	17.0	11.0	6.0	6.0	10.0	1740.0000000000002	1712.9999999999998	60.0	77.0	119.00000000000001	159.0	206.0	236.0	240.0	216.0	172.0	124.0	74.0	56.0	78.0	82.0	4.0	7.0	10.0	11.0	9.0	6.0	5.0	8.0	7.0	5.0	3.0	3.0	6.0	6.0	-94.0	-94.0	-78.0	-87.0	-92.0	-98.0	-100.0	-100.0	-97.0	-92.0	-94.0	-95.0	-92.0	-82.0	14.0	17.0	34.0	0.0	49.0	0.0	0.0	10.0	71.0	0.0	19.0	0.0	0.0	12.0	0.0	100.0	100.0	-999.0	4.0	1.0	58.0	53.0	5.0	1.0	9.0	10.0	13.0	435.00000000000006	4.0	130.0	18.0	18.0	31.0	30.0	51.0	51.0	5.0	4.0	5.0	5.0	8.0	9.0	9.0	7.0	2.0	3.0	4.0	4.0	4.0	5.0	1.0	1.0	2710.0	3269.0000000000005	0.034	0.036	0.324	0.092	0.0	172.0	0.0	174.0	68.0	43.0	35.0	55.0	45.0	240.0	55767.99999999999	708852.0	815795.0	951.0
2	0.105	0.011	0.333	2.0	5.0	2.0	20.0	7.0	28.0	10.0	4.669	11.064	8.674	14.927	380.0	133.0	221.0	71.0	824.0	11.000000000000002	32.0	29.0	15.0	103.0	225.0	222.99999999999997	116.0	341.0	117.0	144.0	173.0	213.0	258.0	307.0	341.0	334.0	298.0	234.0	161.0	117.0	84.0	94.0	12.0	9.0	9.0	3.0	0.0	0.0	6.0	16.0	10.0	5.0	5.0	9.0	1777.0	1740.0	62.0	79.00000000000001	123.0	163.0	210.99999999999997	240.0	244.0	219.0	176.00000000000003	127.0	76.00000000000001	58.0	68.0	77.0	4.0	6.0	9.0	10.0	8.0	5.0	4.0	7.0	6.0	4.0	3.0	2.0	5.0	5.0	-95.0	-95.0	-81.0	-89.0	-93.0	-98.0	-100.0	-100.0	-97.0	-93.0	-94.0	-96.0	-93.0	-85.00000000000001	12.0	2.0	33.0	7.0	26.0	30.0	2.0	8.0	57.0	3.0	21.0	11.000000000000002	1.0	12.0	1.0	99.0	100.0	-999.0	41.00000000000001	16.0	42.0	54.0	31.0	14.0	2.0	9.0	13.0	435.0	4.0	130.0	19.000000000000004	18.0	33.0	30.0	48.0	49.0	5.0	5.0	4.0	5.0	7.0	8.0	7.0	6.0	1.0	2.0	3.0	3.0	4.0	4.0	1.0	1.0	1272.0	2506.0	3.283	3.518	14.116	4.776	1.0	956.0	400.0	451.0	220.0	99.0	62.0	108.0	72.0	240.0	55768.0	125292296.0	138469984.0	951.0
3	0.043	0.005	0.139	2.0	0.0	0.0	0.0	1.0	0.0	2.0	1.952	4.809	2.73	5.018	848.0	223.00000000000003	281.0	82.0	917.0	31.0	44.0	72.0	15.000000000000002	103.00000000000001	223.00000000000003	222.0	115.0	339.0	115.0	142.0	169.0	210.0	254.99999999999997	306.0	339.0	332.0	295.0	232.0	159.0	116.0	95.0	99.0	13.0	10.0	10.0	4.0	1.0	1.0	8.0	17.0	11.0	6.0	6.0	10.0	1740.0	1713.0000000000002	60.00000000000001	77.0	118.99999999999999	159.0	206.00000000000003	236.0	240.00000000000003	215.99999999999997	172.0	124.0	74.0	56.0	78.0	82.0	4.0	7.0	10.0	11.0	9.0	6.0	5.0	8.0	7.0	5.0	3.0	3.0	6.0	6.0	-94.0	-94.0	-78.0	-87.0	-92.00000000000001	-98.00000000000001	-100.0	-100.0	-96.99999999999999	-92.00000000000001	-94.0	-95.0	-92.00000000000001	-82.0	14.0	17.0	34.0	0.0	49.00000000000001	0.0	0.0	10.0	71.0	0.0	19.0	0.0	0.0	12.0	0.0	100.0	100.0	-999.0	4.0	1.0	58.0	53.0	5.0	1.0	9.0	10.0	13.0	435.0	4.0	130.0	18.0	18.0	31.0	30.000000000000004	51.0	51.0	5.0	4.0	5.0	5.0	8.0	9.0	9.0	7.0	2.0	3.0	4.0	4.0	4.0	5.0	1.0	1.0	2710.0	3269.0	0.034	0.036	0.324	0.092	0.0	172.0	0.0	174.0	68.0	43.0	35.0	55.0	45.0	240.00000000000003	55768.0	708852.0	815794.9999999999	951.0

Schema:

Column	Description	Type
div_id	Unique identifier for each catchment.	string
dis_m3_pyr	annual average natural discharge (m3/year)	float64
dis_m3_pmn	annual minimum naturaldischarge (m3/month)	float64
dis_m3_pmx	annual maximum natural discharge (m3/month)	float64
run_mm_syr	sub-basin annual average land surface runoff (mm/year)	float64
inu_pc_smn	sub-basin annual minimum inundation extent (percent)	float64
inu_pc_umn	total watershed annual minimum inundation extent (percent)	float64
inu_pc_smx	sub-basin annual maximum inundation extent (percent)	float64
inu_pc_umx	total watershed annual maximum inundation extent (percent)	float64
inu_pc_slt	sub-basin long-term maximum inundation extent (percent)	float64
inu_pc_ult	total watershed long-term maximum inundation extent (percent)	float64
lka_pc_sse	sub-basin lake area (percent)	float64
lka_pc_use	total watershed lake area (percent)	float64
lkv_mc_usu	total watershed lake volume (million m3)	float64
rev_mc_usu	total watershed reservoir volume (million m3)	float64
dor_pc_pva	sub-basin degree of regulation (percent)	float64
ria_ha_ssu	sub-basin river area (hectares)	float64
ria_ha_usu	total watershed river area (hectares)	float64
riv_tc_ssu	sub-basin river volume (thousand m3)	float64
riv_tc_usu	total watershed river volume (thousand m3)	float64
gwt_cm_sav	sub-basin average groundwater table depth (cm)	float64
ele_mt_sav	sub-basin average elevation (meters above sea level)	float64
ele_mt_uav	total watershed average elevation (meters above sea level)	float64
ele_mt_smn	sub-basin minimum elevation (meters above sea level)	float64
ele_mt_smx	sub-basin maximum elevation (meters above sea level)	float64
slp_dg_sav	sub-basin average slope (degrees)	float64
slp_dg_uav	total watershed average slope (degrees)	float64
sgr_dk_sav	sub-basin stream gradient (decimeters per kilometer)	float64
clz_cl_smj	sub-basin spatial majority climate zone (classes 18)	float64
cls_cl_smj	sub-basin spatial majority climate strata (classes 125)	float64
tmp_dc_syr	sub-basin annual average temperature (degrees C x10)	float64
tmp_dc_uyr	total watershed annual average temperature (degrees C x10)	float64
tmp_dc_smn	sub-basin annual minimum temperature (degrees C x10)	float64
tmp_dc_smx	sub-basin annual maximum temperature (degrees C x10)	float64
tmp_dc_s01	sub-basin average January temperature (degrees C x10)	float64
tmp_dc_s02	sub-basin average February temperature (degrees C x10)	float64
tmp_dc_s03	sub-basin average March temperature (degrees C x10)	float64
tmp_dc_s04	sub-basin average April temperature (degrees C x10)	float64
tmp_dc_s05	sub-basin average May temperature (degrees C x10)	float64
tmp_dc_s06	sub-basin average June temperature (degrees C x10)	float64
tmp_dc_s07	sub-basin average July temperature (degrees C x10)	float64
tmp_dc_s08	sub-basin average August temperature (degrees C x10)	float64
tmp_dc_s09	sub-basin average September temperature (degrees C x10)	float64
tmp_dc_s10	sub-basin average October temperature (degrees C x10)	float64
tmp_dc_s11	sub-basin average November temperature (degrees C x10)	float64
tmp_dc_s12	sub-basin average December temperature (degrees C x10)	float64
pre_mm_syr	sub-basin annual average precipitation (mm/year)	float64
pre_mm_uyr	total watershed annual average precipitation (mm/year)	float64
pre_mm_s01	sub-basin average January precipitation (mm)	float64
pre_mm_s02	sub-basin average February precipitation (mm)	float64
pre_mm_s03	sub-basin average March precipitation (mm)	float64
pre_mm_s04	sub-basin average April precipitation (mm)	float64
pre_mm_s05	sub-basin average May precipitation (mm)	float64
pre_mm_s06	sub-basin average June precipitation (mm)	float64
pre_mm_s07	sub-basin average July precipitation (mm)	float64
pre_mm_s08	sub-basin average August precipitation (mm)	float64
pre_mm_s09	sub-basin average September precipitation (mm)	float64
pre_mm_s10	sub-basin average October precipitation (mm)	float64
pre_mm_s11	sub-basin average November precipitation (mm)	float64
pre_mm_s12	sub-basin average December precipitation (mm)	float64
pet_mm_syr	sub-basin annual average potential evapotranspiration (mm/year)	float64
pet_mm_uyr	total watershed annual average potential evapotranspiration (mm/year)	float64
pet_mm_s01	sub-basin average January potential evapotranspiration (mm)	float64
pet_mm_s02	sub-basin average February potential evapotranspiration (mm)	float64
pet_mm_s03	sub-basin average March potential evapotranspiration (mm)	float64
pet_mm_s04	sub-basin average April potential evapotranspiration (mm)	float64
pet_mm_s05	sub-basin average May potential evapotranspiration (mm)	float64
pet_mm_s06	sub-basin average June potential evapotranspiration (mm)	float64
pet_mm_s07	sub-basin average July potential evapotranspiration (mm)	float64
pet_mm_s08	sub-basin average August potential evapotranspiration (mm)	float64
pet_mm_s09	sub-basin average September potential evapotranspiration (mm)	float64
pet_mm_s10	sub-basin average October potential evapotranspiration (mm)	float64
pet_mm_s11	sub-basin average November potential evapotranspiration (mm)	float64
pet_mm_s12	sub-basin average December potential evapotranspiration (mm)	float64
aet_mm_syr	sub-basin annual average actual evapotranspiration (mm/year)	float64
aet_mm_uyr	total watershed annual average actual evapotranspiration (mm/year)	float64
aet_mm_s01	sub-basin average January actual evapotranspiration (mm)	float64
aet_mm_s02	sub-basin average February actual evapotranspiration (mm)	float64
aet_mm_s03	sub-basin average March actual evapotranspiration (mm)	float64
aet_mm_s04	sub-basin average April actual evapotranspiration (mm)	float64
aet_mm_s05	sub-basin average May actual evapotranspiration (mm)	float64
aet_mm_s06	sub-basin average June actual evapotranspiration (mm)	float64
aet_mm_s07	sub-basin average July actual evapotranspiration (mm)	float64
aet_mm_s08	sub-basin average August actual evapotranspiration (mm)	float64
aet_mm_s09	sub-basin average September actual evapotranspiration (mm)	float64
aet_mm_s10	sub-basin average October actual evapotranspiration (mm)	float64
aet_mm_s11	sub-basin average November actual evapotranspiration (mm)	float64
aet_mm_s12	sub-basin average December actual evapotranspiration (mm)	float64
ari_ix_sav	sub-basin average global arid index (index value)	float64
ari_ix_uav	total watershed average global arid index (index value)	float64
cmi_ix_syr	sub-basin annual average climate moisture index (index value)	float64
cmi_ix_uyr	total watershed annual average climate moisture index (index value)	float64
cmi_ix_s01	sub-basin average January climate moisture index (index value)	float64
cmi_ix_s02	sub-basin average February climate moisture index (index value)	float64
cmi_ix_s03	sub-basin average March climate moisture index (index value)	float64
cmi_ix_s04	sub-basin average April climate moisture index (index value)	float64
cmi_ix_s05	sub-basin average May climate moisture index (index value)	float64
cmi_ix_s06	sub-basin average June climate moisture index (index value)	float64
cmi_ix_s07	sub-basin average July climate moisture index (index value)	float64
cmi_ix_s08	sub-basin average August climate moisture index (index value)	float64
cmi_ix_s09	sub-basin average September climate moisture index (index value)	float64
cmi_ix_s10	sub-basin average October climate moisture index (index value)	float64
cmi_ix_s11	sub-basin average November climate moisture index (index value)	float64
cmi_ix_s12	sub-basin average December climate moisture index (index value)	float64
snw_pc_syr	sub-basin annual average snow cover extent (percent)	float64
snw_pc_uyr	total watershed annual average snow cover extent (percent)	float64
snw_pc_smx	sub-basin annual maximum snow cover extent (percent)	float64
snw_pc_s01	sub-basin average January snow cover extent (percent)	float64
snw_pc_s02	sub-basin average February snow cover extent (percent)	float64
snw_pc_s03	sub-basin average March snow cover extent (percent)	float64
snw_pc_s04	sub-basin average April snow cover extent (percent)	float64
snw_pc_s05	sub-basin average May snow cover extent (percent)	float64
snw_pc_s06	sub-basin average June snow cover extent (percent)	float64
snw_pc_s07	sub-basin average July snow cover extent (percent)	float64
snw_pc_s08	sub-basin average August snow cover extent (percent)	float64
snw_pc_s09	sub-basin average September snow cover extent (percent)	float64
snw_pc_s10	sub-basin average October snow cover extent (percent)	float64
snw_pc_s11	sub-basin average November snow cover extent (percent)	float64
snw_pc_s12	sub-basin average December snow cover extent (percent)	float64
glc_cl_smj	sub-basin spatial majority land cover classes (classes 22)	float64
glc_pc_s01	sub-basin percentage of forest land cover class 1 (broadleaf evergreen forest)	float64
glc_pc_s02	sub-basin percentage of forest land cover class 2 (needleleaf evergreen forest)	float64
glc_pc_s03	sub-basin percentage of forest land cover class 3 (broadleaf deciduous forest)	float64
glc_pc_s04	sub-basin percentage of forest land cover class 4 (needleleaf deciduous forest)	float64
glc_pc_s05	sub-basin percentage of forest land cover class 5 (mixed forest)	float64
glc_pc_s06	sub-basin percentage of forest land cover class 6 (shrubland)	float64
glc_pc_s07	sub-basin percentage of forest land cover class 7 (grassland)	float64
glc_pc_s08	sub-basin percentage of forest land cover class 8 (wetland)	float64
glc_pc_s09	sub-basin percentage of forest land cover class 9 (tundra)	float64
glc_pc_s10	sub-basin percentage of forest land cover class 10 (desert)	float64
glc_pc_s11	sub-basin percentage of forest land cover class 11 (urban)	float64
glc_pc_s12	sub-basin percentage of forest land cover class 12 (water)	float64
glc_pc_s13	sub-basin percentage of forest land cover class 13 (ice)	float64
glc_pc_s14	sub-basin percentage of forest land cover class 14 (bare soil)	float64
glc_pc_s15	sub-basin percentage of forest land cover class 15 (agricultural)	float64
glc_pc_s16	sub-basin percentage of forest land cover class 16 (plantation)	float64
glc_pc_s17	sub-basin percentage of forest land cover class 17 (mangrove)	float64
glc_pc_s18	sub-basin percentage of forest land cover class 18 (bamboo)	float64
glc_pc_s19	sub-basin percentage of forest land cover class 19 (savanna)	float64
glc_pc_s20	sub-basin percentage of forest land cover class 20 (tropical rainforest)	float64
glc_pc_s21	sub-basin percentage of forest land cover class 21 (temperate rainforest)	float64
glc_pc_s22	sub-basin percentage of forest land cover class 22 (unknown)	float64
glc_pc_u01	total watershed percentage of forest land cover class 1 (broadleaf evergreen forest)	float64
glc_pc_u02	total watershed percentage of forest land cover class 2 (needleleaf evergreen forest)	float64
glc_pc_u03	total watershed percentage of forest land cover class 3 (broadleaf deciduous forest)	float64
glc_pc_u04	total watershed percentage of forest land cover class 4 (needleleaf deciduous forest)	float64
glc_pc_u05	total watershed percentage of forest land cover class 5 (mixed forest)	float64
glc_pc_u06	total watershed percentage of forest land cover class 6 (shrubland)	float64
glc_pc_u07	total watershed percentage of forest land cover class 7 (grassland)	float64
glc_pc_u08	total watershed percentage of forest land cover class 8 (wetland)	float64
glc_pc_u09	total watershed percentage of forest land cover class 9 (tundra)	float64
glc_pc_u10	total watershed percentage of forest land cover class 10 (desert)	float64
glc_pc_u11	total watershed percentage of forest land cover class 11 (urban)	float64
glc_pc_u12	total watershed percentage of forest land cover class 12 (water)	float64
glc_pc_u13	total watershed percentage of forest land cover class 13 (ice)	float64
glc_pc_u14	total watershed percentage of forest land cover class 14 (bare soil)	float64
glc_pc_u15	total watershed percentage of forest land cover class 15 (agricultural)	float64
glc_pc_u16	total watershed percentage of forest land cover class 16 (plantation)	float64
glc_pc_u17	total watershed percentage of forest land cover class 17 (mangrove)	float64
glc_pc_u18	total watershed percentage of forest land cover class 18 (bamboo)	float64
glc_pc_u19	total watershed percentage of forest land cover class 19 (savanna)	float64
glc_pc_u20	total watershed percentage of forest land cover class 20 (tropical rainforest)	float64
glc_pc_u21	total watershed percentage of forest land cover class 21 (temperate rainforest)	float64
glc_pc_u22	total watershed percentage of forest land cover class 22 (unknown)	float64
pnv_cl_smj	sub-basin potential natural vegetation spatial majority classes (classes 15)	float64
pnv_pc_s01	sub-basin percentage of potential natural vegetation class 1 (broadleaf evergreen forest)	float64
pnv_pc_s02	sub-basin percentage of potential natural vegetation class 2 (needleleaf evergreen forest)	float64
pnv_pc_s03	sub-basin percentage of potential natural vegetation class 3 (broadleaf deciduous forest)	float64
pnv_pc_s04	sub-basin percentage of potential natural vegetation class 4 (needleleaf deciduous forest)	float64
pnv_pc_s05	sub-basin percentage of potential natural vegetation class 5 (mixed forest)	float64
pnv_pc_s06	sub-basin percentage of potential natural vegetation class 6 (shrubland)	float64
pnv_pc_s07	sub-basin percentage of potential natural vegetation class 7 (grassland)	float64
pnv_pc_s08	sub-basin percentage of potential natural vegetation class 8 (wetland)	float64
pnv_pc_s09	sub-basin percentage of potential natural vegetation class 9 (tundra)	float64
pnv_pc_s10	sub-basin percentage of potential natural vegetation class 10 (desert)	float64
pnv_pc_s11	sub-basin percentage of potential natural vegetation class 11 (urban)	float64
pnv_pc_s12	sub-basin percentage of potential natural vegetation class 12 (water)	float64
pnv_pc_s13	sub-basin percentage of potential natural vegetation class 13 (ice)	float64
pnv_pc_s14	sub-basin percentage of potential natural vegetation class 14 (bare soil)	float64
pnv_pc_s15	sub-basin percentage of potential natural vegetation class 15 (agricultural)	float64
pnv_pc_u01	total watershed percentage of potential natural vegetation class 1 (broadleaf evergreen forest)	float64
pnv_pc_u02	total watershed percentage of potential natural vegetation class 2 (needleleaf evergreen forest)	float64
pnv_pc_u03	total watershed percentage of potential natural vegetation class 3 (broadleaf deciduous forest)	float64
pnv_pc_u04	total watershed percentage of potential natural vegetation class 4 (needleleaf deciduous forest)	float64
pnv_pc_u05	total watershed percentage of potential natural vegetation class 5 (mixed forest)	float64
pnv_pc_u06	total watershed percentage of potential natural vegetation class 6 (shrubland)	float64
pnv_pc_u07	total watershed percentage of potential natural vegetation class 7 (grassland)	float64
pnv_pc_u08	total watershed percentage of potential natural vegetation class 8 (wetland)	float64
pnv_pc_u09	total watershed percentage of potential natural vegetation class 9 (tundra)	float64
pnv_pc_u10	total watershed percentage of potential natural vegetation class 10 (desert)	float64
pnv_pc_u11	total watershed percentage of potential natural vegetation class 11 (urban)	float64
pnv_pc_u12	total watershed percentage of potential natural vegetation class 12 (water)	float64
pnv_pc_u13	total watershed percentage of potential natural vegetation class 13 (ice)	float64
pnv_pc_u14	total watershed percentage of potential natural vegetation class 14 (bare soil)	float64
pnv_pc_u15	total watershed percentage of potential natural vegetation class 15 (agricultural)	float64
wet_cl_smj	sub-basin spatial majority wetland classes (classes 12)	float64
wet_pc_sg1	sub-basin percentage of wetland cover for class group 1	float64
wet_pc_ug1	total watershed percentage of wetland cover for class group 1	float64
wet_pc_sg2	sub-basin percentage of wetland cover for class group 2	float64
wet_pc_ug2	total watershed percentage of wetland cover for class group 2	float64
wet_pc_s01	sub-basin percentage of wetland cover for class group 1	float64
wet_pc_s02	sub-basin percentage of wetland cover for class group 2	float64
wet_pc_s03	sub-basin percentage of wetland cover for class group 3	float64
wet_pc_s04	sub-basin percentage of wetland cover for class group 4	float64
wet_pc_s05	sub-basin percentage of wetland cover for class group 5	float64
wet_pc_s06	sub-basin percentage of wetland cover for class group 6	float64
wet_pc_s07	sub-basin percentage of wetland cover for class group 7	float64
wet_pc_s08	sub-basin percentage of wetland cover for class group 8	float64
wet_pc_s09	sub-basin percentage of wetland cover for class group 9	float64
wet_pc_u01	total watershed percentage of wetland cover for class group 1	float64
wet_pc_u02	total watershed percentage of wetland cover for class group 2	float64
wet_pc_u03	total watershed percentage of wetland cover for class group 3	float64
wet_pc_u04	total watershed percentage of wetland cover for class group 4	float64
wet_pc_u05	total watershed percentage of wetland cover for class group 5	float64
wet_pc_u06	total watershed percentage of wetland cover for class group 6	float64
wet_pc_u07	total watershed percentage of wetland cover for class group 7	float64
wet_pc_u08	total watershed percentage of wetland cover for class group 8	float64
wet_pc_u09	total watershed percentage of wetland cover for class group 9	float64
for_pc_sse	sub-basin forest cover extent (percentage)	float64
for_pc_use	total watershed forest cover extent (percentage)	float64
crp_pc_sse	sub-basin crop cover extent (percentage)	float64
crp_pc_use	total watershed crop cover extent (percentage)	float64
pst_pc_sse	sub-basin pasture cover extent (percentage)	float64
pst_pc_use	total watershed pasture cover extent (percentage)	float64
ire_pc_sse	sub-basin irrigated area extent (percentage)	float64
ire_pc_use	total watershed irrigated area extent (percentage)	float64
gla_pc_sse	sub-basin glacier cover (percentage)	float64
gla_pc_use	total watershed glacier cover (percentage)	float64
prm_pc_sse	sub-basin permafrost cover (percentage)	float64
prm_pc_use	total watershed permafrost cover (percentage)	float64
pac_pc_sse	sub-basin protected area cover (percentage)	float64
pac_pc_use	total watershed protected area cover (percentage)	float64
tbi_cl_smj	sub-basin terrestrial biome spatial majority classes (classes 14)	float64
tec_cl_smj	sub-basin terrestrial ecoregion spatial majority classes (classes 14)	float64
fmh_cl_smj	sub-basin spatial majority of freshwater major habitat classes (classes 13)	float64
fec_cl_smj	sub-basin spatial majority of freshwater ecoregions (classes 426)	float64
cly_pc_sav	sub-basin average clay content (percentage)	float64
cly_pc_uav	total watershed average clay content (percentage)	float64
slt_pc_sav	sub-basin average silt content (percentage)	float64
slt_pc_uav	total watershed average silt content (percentage)	float64
snd_pc_sav	sub-basin average sand content (percentage)	float64
snd_pc_uav	total watershed average sand content (percentage)	float64
soc_th_sav	sub-basin average soil organic carbon (percentage)	float64
soc_th_uav	total watershed average soil organic carbon (percentage)	float64
swc_pc_syr	sub-basin average soil water content (percentage)	float64
swc_pc_uyr	total watershed average soil water content (percentage)	float64
swc_pc_s01	sub-basin soil water content for January (percentage)	float64
swc_pc_s02	sub-basin soil water content for February (percentage)	float64
swc_pc_s03	sub-basin soil water content for March (percentage)	float64
swc_pc_s04	sub-basin soil water content for April (percentage)	float64
swc_pc_s07	sub-basin soil water content for July (percentage)	float64
swc_pc_s08	sub-basin soil water content for August (percentage)	float64
swc_pc_s09	sub-basin soil water content for September (percentage)	float64
swc_pc_s10	sub-basin soil water content for October (percentage)	float64
swc_pc_s11	sub-basin soil water content for November (percentage)	float64
swc_pc_s12	sub-basin soil water content for December (percentage)	float64
lit_cl_smj	sub-basin spatial majority lithology classes (classes 16)	float64
kar_pc_sse	sub-basin spatial extent of karst cover (percentage)	float64
kar_pc_use	total watershed spatial extent of karst cover (percentage)	float64
ero_kh_sav	sub-basin soil erosion (kg/hectare/yr)	float64
ero_kh_uav	total watershed soil erosion (kg/hectare/yr)	float64
pop_ct_ssu	sub-basin population count (count thousands)	float64
pop_ct_usu	total watershed population count (count thousands)	float64
ppd_pk_sav	sub-basin population density (people/km2)	float64
ppd_pk_uav	total watershed population density (people/km2)	float64
urb_pc_sse	sub-basin urban cover (percentage)	float64
urb_pc_use	total watershed urban cover (percentage)	float64
nli_ix_sav	sub-basin average nighttime lights index (index value)	float64
nli_ix_uav	total watershed average nighttime lights index (index value)	float64
rdd_mk_sav	sub-basin road density (m/km2)	float64
rdd_mk_uav	total watershed road density (m/km2)	float64
hft_ix_s93	sub-basin human footprint index for 1993 (index value)	float64
hft_ix_u93	total watershed human footprint index for 2009 (index value)	float64
hft_ix_s09	sub-basin human footprint index for 2009 (index value)	float64
hft_ix_u09	total watershed human footprint index for 2009 (index value)	float64
gad_id_smj	sub-basin administrative unit spatial majority (ID number)	float64
gdp_ud_sav	sub-basin average gross domestic product (USD)	float64
gdp_ud_ssu	sub-basin total gross domestic product (USD)	float64
gdp_ud_usu	total watershed gross domestic product (USD)	float64
hdi_ix_sav	sub-basin human development index (index value)	float64

hydroatlas.attr_select_file#

File to configure the selection of HydroATLAS attributes for parameter regionalization.

Sample file path: inputs/region/attr_config/attr_selection_hydroatlas.csv

Example rows:

select	attr_name	description
1	dis_m3_pyr	annual average natural discharge (m3/year)
1	dis_m3_pmn	annual minimum naturaldischarge (m3/month)
1	dis_m3_pmx	annual maximum natural discharge (m3/month)

Schema:

Column	Description	Type
select	Whether to select this attribute for parameter regionalization (1 for yes, 0 for no).	int64
attr_name	Name of the HydroATLAS attribute to be selected for parameter regionalization.	object
description	Description of the HydroATLAS attribute.	object

manual_pairings#

File containing manual pairings to update algorithm based donor-receiver pairs.

Sample file path: inputs/region/manual_pairs/manual_pairs_vpu03S.csv

Example rows:

receiver_divide_id	receiver_gage_id	donor_divide_id	donor_gage_id
cat-410687	nan	cat-423550	nan
cat-410688	nan	cat-423550	nan
cat-423248	nan	nan	023177483

Schema:

Column	Description	Type
receiver_divide_id	Unique identifier for the receiver catchment (i.e., divide).	object
receiver_gage_id	Unique identifier for the receiver gage.	object
donor_divide_id	Unique identifier for the donor catchment (i.e., divide).	object
donor_gage_id	Unique identifier for the donor gage.	object

ngen.attr_data_file#

File containing NGEN attribute data for all catchments in a NWM domain (e.g., CONUS).

Sample file path: inputs/region/attr_datasets/ngen/attr_ngen_conus.parquet

Example rows:

Schema:

Column	Description	Type
divide_id	divide_id	object
dksat	dksat	float64
psisat	psisat	float64
smcmax	smcmax	float64
smcwlt	smcwlt	float64
bexp	bexp	float64
ISLTYP	ISLTYP	float64
IVGTYP	IVGTYP	float64
cwpvt	cwpvt	float64
mfsno	mfsno	float64
mp	mp	float64
refkdt	refkdt	float64
slope_1km	slope_1km	float64
vcmx25	vcmx25	float64
Coeff	Coeff	float64
Zmax	Zmax	float64
Expon	Expon	float64
centroid_x	centroid_x	float64
centroid_y	centroid_y	float64
impervious	impervious	float64
elevation	elevation	float64
slope	slope	float64
aspect	aspect	float64
dist_4.twi	dist_4.twi	object
vpuid	vpuid	object

ngen.attr_select_file#

File to configure the selection of NGEN attributes for parameter regionalization.

Sample file path: inputs/region/attr_config/attr_selection_ngen.csv

Example rows:

select	attr_name	description
1	dksat	NWM parameter \| saturated hydraulic conductivity
1	psisat	NWM parameter \| saturated capillary head
1	smcmax	NWM parameter \| saturated soil moisture content

Schema:

Column	Description	Type
select	Whether to select this attribute for parameter regionalization (1 for yes, 0 for no).	int64
attr_name	Name of the NGEN attribute to be selected for parameter regionalization.	object
description	Description of the NGEN attribute.	object

ngen_hydrofabric_file (layer: flowpaths)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

id	toid	mainstem	order	hydroseq	lengthkm	areasqkm	tot_drainage_areasqkm	has_divide	divide_id	poi_id	vpuid
wb-423670	nex-423671	2367049.0	1.0	13878	3.804038126747679	13.50224937450011	13.50224937450011	True	cat-423670	19675	03S
wb-423671	nex-423663	2367049.0	1.0	13877	2.3866099099488665	6.21449990999961	19.71674928449972	True	cat-423671	30620	03S
wb-423752	nex-423748	2367253.0	1.0	13876	5.861027417139365	9.15119957699985	9.15119957699985	True	cat-423752	None	03S

Schema:

Column	Description	Type
id	Identifier.	object
toid	Identifier of the downstream feature (nexus) to which this catchment drains.	object
mainstem	mainstem	float64
order	order	float64
hydroseq	hydroseq	int32
lengthkm	Length in kilometers.	float64
areasqkm	Area in square kilometers.	float64
tot_drainage_areasqkm	Total drainage area in square kilometers.	float64
has_divide	has_divide	bool
divide_id	Unique identifier for each catchment.	object
poi_id	poi_id	object
vpuid	VPU identifier.	object
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: divides)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

divide_id	toid	type	ds_id	areasqkm	vpuid	id	lengthkm	tot_drainage_areasqkm	has_flowline
cat-410946	inx-410946	internal	412593.0	78.3864003508807	03S	None	nan	nan	False
cat-410945	inx-410945	internal	412491.0	587.9079171090782	03S	None	nan	nan	False
cat-410944	inx-410944	internal	412643.0	162.52922207240118	03S	None	nan	nan	False

Schema:

Column	Description	Type
divide_id	Unique identifier for each catchment.	object
toid	Identifier of the downstream feature (nexus) to which this catchment drains.	object
type	Type of feature (e.g., divide).	object
ds_id	Drainage system identifier.	float64
areasqkm	Area in square kilometers.	float64
vpuid	VPU identifier.	object
id	Identifier.	object
lengthkm	Length in kilometers.	float64
tot_drainage_areasqkm	Total drainage area in square kilometers.	float64
has_flowline	Indicates if the catchment has a flowline.	bool
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: lakes)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

lake_id	LkArea	LkMxE	WeirC	WeirL	OrificeC	OrificeA	OrificeE	WeirE	ifd	Dam_Length	domain	poi_id	hf_id	reservoir_index_AnA	reservoir_index_Extended_AnA	reservoir_index_GDL_AK	reservoir_index_Medium_Range	reservoir_index_Short_Range	res_id	vpuid	lake_x	lake_y
55470.0	29.46616114	8.920000076293945	0.4	10.0	0.1	1.0	5.333333492279053	8.381999969482422	0.8999999761581421	10.0	CONUS	21	68240.0	nan	nan	nan	nan	nan	None	03S	1578114.466138742	542981.5336005107
84908.0	1.20577977	0.33000001311302185	0.4	10.0	0.1	1.0	-0.0833333283662796	0.2679999768733978	0.8999999761581421	10.0	CONUS	22	85362.0	nan	nan	nan	nan	nan	None	03S	1502038.5282795832	403864.604164357
84918.0	29.73956508	0.9599999785423279	0.4	10.0	0.1	1.0	-0.013333320617675781	0.8140000104904175	0.8999999761581421	10.0	CONUS	23	85476.0	nan	nan	nan	nan	nan	None	03S	1506759.286453132	398638.4477050715

Schema:

Column	Description	Type
lake_id	lake_id	float64
LkArea	LkArea	float64
LkMxE	LkMxE	float64
WeirC	WeirC	float64
WeirL	WeirL	float64
OrificeC	OrificeC	float64
OrificeA	OrificeA	float64
OrificeE	OrificeE	float64
WeirE	WeirE	float64
ifd	ifd	float64
Dam_Length	Dam_Length	float64
domain	domain	object
poi_id	poi_id	int32
hf_id	hf_id	float64
reservoir_index_AnA	reservoir_index_AnA	float64
reservoir_index_Extended_AnA	reservoir_index_Extended_AnA	float64
reservoir_index_GDL_AK	reservoir_index_GDL_AK	float64
reservoir_index_Medium_Range	reservoir_index_Medium_Range	float64
reservoir_index_Short_Range	reservoir_index_Short_Range	float64
res_id	res_id	object
vpuid	VPU identifier.	object
lake_x	lake_x	float64
lake_y	lake_y	float64
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: nexus)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

id	toid	type	vpuid	poi_id
nex-410950	wb-410950	nexus	03S	nan
nex-410951	wb-410951	nexus	03S	35070.0
nex-410952	wb-410952	nexus	03S	nan

Schema:

Column	Description	Type
id	Identifier.	object
toid	Identifier of the downstream feature (nexus) to which this catchment drains.	object
type	Type of feature (e.g., divide).	object
vpuid	VPU identifier.	object
poi_id	poi_id	float64
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: pois)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

poi_id	id	nex_id	vpuid
19675	wb-423670	nex-423671	03S
30620	wb-423671	nex-423663	03S
33526	wb-423728	nex-423654	03S

Schema:

Column	Description	Type
poi_id	poi_id	int32
id	Identifier.	object
nex_id	nex_id	object
vpuid	VPU identifier.	object
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: hydrolocations)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

poi_id	id	nex_id	hf_id	hl_link	hl_reference	hl_uri	hl_source	hl_x	hl_y	vpuid
3746	wb-424822	nex-424823	500802.0	030801020801	huc12	huc12-030801020801	ref-fab	1373704.7076079391	780484.8953634357	03S
5130	wb-421607	nex-421608	527202.0	030801030304	huc12	huc12-030801030304	ref-fab	1394634.9123926074	823759.1819836448	03S
4244	wb-411585	nex-411586	562802.0	030901011304	huc12	huc12-030901011304	ref-fab	1443372.7137063795	622233.1012130025	03S

Schema:

Column	Description	Type
poi_id	poi_id	int32
id	Identifier.	object
nex_id	nex_id	object
hf_id	hf_id	float64
hl_link	hl_link	object
hl_reference	hl_reference	object
hl_uri	hl_uri	object
hl_source	hl_source	object
hl_x	hl_x	float64
hl_y	hl_y	float64
vpuid	VPU identifier.	object
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: flowpath-attributes)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

link	to	Length_m	Y	n	nCC	BtmWdth	TopWdth	TopWdthCC	ChSlp	alt	So	MusX	MusK	gage	gage_nex_id	WaterbodyID	waterbody_nex_id	id	toid	vpuid
wb-423670	nex-423671	3804.0381267476787	0.46638980706096966	0.06	0.12	5.91191129054133	6.865928976757372	20.597786930272115	1.0227685851754977	20.0323429107666	0.003019662880502428	0.2	3600.0	None	None	None	None	wb-423670	nex-423671	03S
wb-423671	nex-423663	2386.6099099488665	0.5049858162860272	0.06	0.12	6.724094883296428	7.6995424965830574	23.098627489749173	0.9658168426003173	8.545430183410645	0.0035805726557105143	0.2	3600.0	02301695	nex-423663	None	None	wb-423671	nex-423663	03S
wb-423752	nex-423748	5861.027417139365	0.4298076586362661	0.06	0.12	5.179553884022866	6.102819373763817	18.30845812129145	1.07404494916444	38.86513137817383	0.00356021667742983	0.2	3600.0	None	None	None	None	wb-423752	nex-423748	03S

Schema:

Column	Description	Type
link	link	object
to	to	object
Length_m	Length_m	float64
Y	Y	float64
n	n	float64
nCC	nCC	float64
BtmWdth	BtmWdth	float64
TopWdth	TopWdth	float64
TopWdthCC	TopWdthCC	float64
ChSlp	ChSlp	float64
alt	alt	float64
So	So	float64
MusX	MusX	float64
MusK	MusK	float64
gage	gage	object
gage_nex_id	gage_nex_id	object
WaterbodyID	WaterbodyID	object
waterbody_nex_id	waterbody_nex_id	object
id	Identifier.	object
toid	Identifier of the downstream feature (nexus) to which this catchment drains.	object
vpuid	VPU identifier.	object
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: network)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

id	toid	divide_id	ds_id	mainstem	hydroseq	hf_source	hf_id	lengthkm	areasqkm	tot_drainage_areasqkm	type	vpuid	hf_hydroseq	hf_lengthkm	hf_mainstem	topo	poi_id	hl_uri
wb-423666	tnx-1000002837	cat-423666	nan	2367036.0	13772.0	NOAA Reference Fabric	16918808.0	4.261507434137776	7.4394003734988585	1033.6455015839595	terminal	03S	2367036.0	7.742660026156029	2367036.0	fl-nex	nan	None
wb-423787	tnx-1000002836	cat-423787	nan	2367331.0	13771.0	NOAA Reference Fabric	16927768.0	0.6257802608509306	6.075450342000487	6.075450342000487	terminal	03S	2367331.0	0.6257802608509306	2367331.0	fl-nex	nan	None
wb-423786	tnx-1000002835	cat-423786	nan	2367329.0	13770.0	NOAA Reference Fabric	16924548.0	1.4300169212241527	0.6268500720000907	0.6268500720000907	terminal	03S	2367330.0	1.0540261556064199	2367329.0	fl-nex	nan	None

Schema:

Column	Description	Type
id	Identifier.	object
toid	Identifier of the downstream feature (nexus) to which this catchment drains.	object
divide_id	Unique identifier for each catchment.	object
ds_id	Drainage system identifier.	float64
mainstem	mainstem	float64
hydroseq	hydroseq	float64
hf_source	hf_source	object
hf_id	hf_id	float64
lengthkm	Length in kilometers.	float64
areasqkm	Area in square kilometers.	float64
tot_drainage_areasqkm	Total drainage area in square kilometers.	float64
type	Type of feature (e.g., divide).	object
vpuid	VPU identifier.	object
hf_hydroseq	hf_hydroseq	float64
hf_lengthkm	hf_lengthkm	float64
hf_mainstem	hf_mainstem	float64
topo	topo	object
poi_id	poi_id	float64
hl_uri	hl_uri	object
geometry	Catchment geometry in WKT format.	geometry

ngen_hydrofabric_file (layer: divide-attributes)#

NGEN Hydrofabric Catchment Divides for a VPU. Only the divides layer is used during regionalization.

Sample file path: inputs/region/hydrofabric/gpkg_vpu/vpu_03S.gpkg

Note

Geometry column omitted from preview table for brevity.

Example rows:

Schema:

Column	Description	Type
divide_id	Unique identifier for each catchment.	object
mode.bexp_soil_layers_stag=1	mode.bexp_soil_layers_stag=1	float64
mode.bexp_soil_layers_stag=2	mode.bexp_soil_layers_stag=2	float64
mode.bexp_soil_layers_stag=3	mode.bexp_soil_layers_stag=3	float64
mode.bexp_soil_layers_stag=4	mode.bexp_soil_layers_stag=4	float64
mode.ISLTYP	mode.ISLTYP	float64
mode.IVGTYP	mode.IVGTYP	float64
geom_mean.dksat_soil_layers_stag=1	geom_mean.dksat_soil_layers_stag=1	float64
geom_mean.dksat_soil_layers_stag=2	geom_mean.dksat_soil_layers_stag=2	float64
geom_mean.dksat_soil_layers_stag=3	geom_mean.dksat_soil_layers_stag=3	float64
geom_mean.dksat_soil_layers_stag=4	geom_mean.dksat_soil_layers_stag=4	float64
geom_mean.psisat_soil_layers_stag=1	geom_mean.psisat_soil_layers_stag=1	float64
geom_mean.psisat_soil_layers_stag=2	geom_mean.psisat_soil_layers_stag=2	float64
geom_mean.psisat_soil_layers_stag=3	geom_mean.psisat_soil_layers_stag=3	float64
geom_mean.psisat_soil_layers_stag=4	geom_mean.psisat_soil_layers_stag=4	float64
mean.cwpvt	mean.cwpvt	float64
mean.mfsno	mean.mfsno	float64
mean.mp	mean.mp	float64
mean.refkdt	mean.refkdt	float64
mean.slope_1km	mean.slope_1km	float64
mean.smcmax_soil_layers_stag=1	mean.smcmax_soil_layers_stag=1	float64
mean.smcmax_soil_layers_stag=2	mean.smcmax_soil_layers_stag=2	float64
mean.smcmax_soil_layers_stag=3	mean.smcmax_soil_layers_stag=3	float64
mean.smcmax_soil_layers_stag=4	mean.smcmax_soil_layers_stag=4	float64
mean.smcwlt_soil_layers_stag=1	mean.smcwlt_soil_layers_stag=1	float64
mean.smcwlt_soil_layers_stag=2	mean.smcwlt_soil_layers_stag=2	float64
mean.smcwlt_soil_layers_stag=3	mean.smcwlt_soil_layers_stag=3	float64
mean.smcwlt_soil_layers_stag=4	mean.smcwlt_soil_layers_stag=4	float64
mean.vcmx25	mean.vcmx25	float64
mean.Coeff	mean.Coeff	float64
mean.Zmax	mean.Zmax	float64
mode.Expon	mode.Expon	float64
centroid_x	centroid_x	float64
centroid_y	centroid_y	float64
mean.impervious	mean.impervious	float64
mean.elevation	mean.elevation	float64
mean.slope	mean.slope	float64
circ_mean.aspect	circ_mean.aspect	float64
dist_4.twi	dist_4.twi	object
vpuid	VPU identifier.	object
geometry	Catchment geometry in WKT format.	geometry

snow_cover_file#

File containing snow cover fraction for all catchments in a NWM domain (e.g., CONUS).

Sample file path: inputs/region/snow_frac/vpu03S_snow_frac.parquet

Example rows:

divide_id	snow_pc_hydroatlas
cat-410946	0.0
cat-410945	0.0
cat-410944	0.0

Schema:

Column	Description	Type
divide_id	Unique identifier for each catchment.	object
snow_pc_hydroatlas	snowcover percentage from HydroATLAS dataset	float64

streamcat.attr_data_file#

File containing StreamCat attribute data for all catchments in a NWM domain (e.g., CONUS).

Sample file path: inputs/region/attr_datasets/streamcat/attr_streamcat_conus.parquet

Example rows:

divide_id	BFI	DamDens	DamNIDStor	DamNrmStor	Elev	Perm	Om	RckDep	WtDep	AgKffact	Kffact	PctGlacLakeCrs	PctGlacTilCrs	Precip	Tmax	Tmean	Tmin	RdDens	Runoff	Clay	Sand	Precip_Minus_EVT
cat-1	50.97614977871673	0.0	0.0	0.0	4.41573220047481	0.9327959862648094	0.16721313470521276	7.124522606720663	6.410044831293111	0.0	0.23598567162637368	0.0	100.00000000000001	1248.0793687420046	16.40189576196621	11.64019762480423	-5.201682360844988	0.5468780338934144	621.0	0.3689421336222836	2.8666550631382157	42.01070572178115
cat-10	61.0	0.0	0.0	0.0	0.03	0.0	0.0	0.0	0.0	0.0	0.24	0.0	100.0	1143.243408205	15.01485443115	10.40089797975	-5.19999980925	6.3185	705.0	0.0	0.0	46.0
cat-100	57.861776267329795	0.12263365999918233	51110.52451192907	22255.567108017753	24.662106685497744	39.64840113848574	0.3646600642603927	148.66528493995057	164.94400452907053	0.00958470130740571	0.15246596463167286	99.62427699449351	0.0	1244.2868206418714	14.698732493942293	10.213878933060482	-5.523975540000376	5.378409398214846	699.9999999999999	2.9396928974825243	78.3037261254769	50.724319985883874

Schema:

Column	Description	Type
divide_id	divide_id	object
BFI	Baseflow is the component of streamflow that can be attributed to ground-water discharge into streams. The Baseflow Index (BFI) is the ratio of baseflow to total flow, expressed as a percentage, within catchment.	float64
CanalDens	Density of NHDPlus line features classified as canal, ditch, or pipeline within the catchment or watershed.	float64
DamDens	Density of georeferenced dams within catchment (dams/ square km) based on the National Inventory of Dams (https://catalog.data.gov/dataset/national-inventory-of-dams)	float64
DamNIDStor	Total possible volume of all reservoirs (NID_STORA in NID) per unit area of catchment (cubic meters/square km) based on the National Inventory of Dams (https://catalog.data.gov/dataset/national-inventory-of-dams)	float64
DamNrmStor	Normal (most common) volume of all reservoirs (NORM_STORA in NID) per unit area of catchment (cubic meters/square km) based on the National Inventory of Dams (https://catalog.data.gov/dataset/national-inventory-of-dams)	float64
Elev	Mean catchment elevation in meters.	float64
Perm	Mean permeability (cm/hour) of soils (STATSGO) within catchment.	float64
Om	Mean organic matter content (% by weight) of soils (STATSGO) within catchment.	float64
RckDep	Mean depth (cm) to bedrock of soils (STATSGO) within catchment.	float64
WtDep	Mean seasonal water table depth (cm) of soils (STATSGO) within catchment.	float64
AgKffact	Mean soil erodibility (Kf) factor (unitless) of soils within catchment on agricultural land. The Kf factor is used in the Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall.	float64
Kffact	Mean soil erodibility (Kf) factor (unitless) of soils within catchment. The Kf factor is used in the Universal Soil Loss Equation (USLE) and represents a relative index of susceptibility of bare, cultivated soil to particle detachment and transport by rainfall.	float64
PctAlkIntruVol	% of catchment area classified as lithology type: alkaline intrusive volcanic rock	float64
PctAlluvCoast	% of catchment area classified as lithology type: alluvium and fine-textured coastal zone sediment	float64
PctCarbResid	% of catchment area classified as lithology type: carbonate residual material	float64
PctCoastCrs	% of catchment area classified as lithology type: coastal zone sediment, coarse-textured	float64
PctColluvSed	% of catchment area classified as lithology type: colluvial sediment	float64
PctEolCrs	% of catchment area classified as lithology type: eolian sediment, coarse-textured (sand dunes)	float64
PctEolFine	% of catchment area classified as lithology type: eolian sediment, fine-textured (glacial loess)	float64
PctExtruVol	% of catchment area classified as lithology type: extrusive volcanic rock	float64
PctGlacLakeCrs	% of catchment area classified as lithology type: glacial outwash and glacial lake sediment, coarse-textured	float64
PctGlacLakeFine	% of catchment area classified as lithology type: glacial lake sediment, fine-textured	float64
PctGlacTilClay	% of catchment area classified as lithology type: glacial till, clayey	float64
PctGlacTilCrs	% of catchment area classified as lithology type: glacial till, coarse-textured	float64
PctGlacTilLoam	% of catchment area classified as lithology type: glacial till, loamy	float64
PctHydric	% of catchment area classified as lithology type: hydric, peat and muck	float64
PctNonCarbResid	% of catchment area classified as lithology type: non-carbonate residual material	float64
PctSalLake	% of catchment area classified as lithology type: saline like sediment	float64
PctSilicic	% of catchment area classified as lithology type: silicic residual material	float64
PctWater	% of catchment area classified as lithology type: water	float64
Precip	PRISM climate data - 30-year normal mean precipitation (mm): Annual period: 1981-2010 within catchment	float64
Tmax	PRISM climate data - 30-year normal maximum temperature (Â°C): Annual period: 1981-2010 within catchment	float64
Tmean	PRISM climate data - 30-year normal mean temperature (Â°C): Annual period: 1981-2010 within the catchment	float64
Tmin	PRISM climate data - 30-year normal minimum temperature (Â°C): Annual period: 1981-2010 within catchment	float64
RdDens	Density of roads (2010 Census Tiger Lines) within catchment (km/square km)	float64
Runoff	Mean runoff (mm) within catchment	float64
Clay	Mean % clay content of soils (STATSGO) within catchment.	float64
Sand	Mean % sand content of soils (STATSGO) within catchment.	float64
Precip_Minus_EVT	This dataset represents surplus precipitation (mm): precipitation minus potential evaporation described in DOI: 10.1016/j.scitotenv.2020.137661 within individual, local NHDPlusV2 catchments and upstream, contributing watersheds.	float64

streamcat.attr_select_file#

File to configure the selection of StreamCat attributes for parameter regionalization.

Sample file path: inputs/region/attr_config/attr_selection_streamcat.csv

Example rows:

select	attr_name	description
1	BFI	Baseflow is the component of streamflow that can be attributed to ground-water discharge into streams. The Baseflow Index (BFI) is the ratio of baseflow to total flow, expressed as a percentage, within catchment.
1	CanalDens	Density of NHDPlus line features classified as canal, ditch, or pipeline within the catchment or watershed.
1	DamDens	Density of georeferenced dams within catchment (dams/ square km) based on the National Inventory of Dams (https://catalog.data.gov/dataset/national-inventory-of-dams)

Schema:

Column	Description	Type
select	Whether to select this attribute for parameter regionalization (1 for yes, 0 for no).	int64
attr_name	Name of the StreamCat attribute to be selected for parameter regionalization.	object
description	Description of the StreamCat attribute.	object