NHGF STAC Catalog Datasets

Contents

NHGF STAC Catalog Datasets#

The National Hydrologic Geospatial Fabric (NHGF) STAC catalog provides access to numerous climate and hydrologic datasets through the SpatioTemporal Asset Catalog (STAC) specification.

Table 2 NHGF STAC catalog datasets#
Dataset	Description	Collection ID	Temporal Coverage	Spatial Coverage
CONUS404	High-resolution daily meteorological data from WRF model at 4km resolution with 40 years of daily values	conus404-daily	1979-2022	Continental US, Alaska
GridMET	Daily meteorological data for continental US including temperature, precipitation, humidity, wind	gridMET	1979-2022	Continental US
LOCA2	Localized Constructed Analogs (LOCA) downscaled CMIP6 climate projections	LOCA2	Historical & Future	North America
MACA	Multivariate Adaptive Constructed Analogs climate projections (VIC hydrology)	maca-vic, macav2	Historical & Future	Continental US
BCCA/BCSD	Bias Corrected Constructed Analogs and Spatially Downscaled climate projections	bcca, bcsd_mon_vic, bcsd_obs, cmip5_bcsd	Historical & Future	Continental US
PRISM v2	Parameter-elevation Regressions on Independent Slopes Model climate data	PRISM_v2	1895-present	Continental US
TopoWx	High-resolution gridded daily minimum and maximum temperature	TopoWx2017	1948-2016	Continental US
SSEBop ET	Operational Simplified Surface Energy Balance actual evapotranspiration	ssebopeta	2000-present	Continental US
Stage IV	Multi-sensor precipitation estimates from NCEP	stageiv_combined	2002-present	Continental US
Alaska ET	Alaska-specific evapotranspiration estimates	alaska_et_2020	Various	Alaska
Western US Hydrology	Western US hydrologic modeling datasets	WUS_HSP	Various	Western US
Puerto Rico	Climate and hydrologic data for Puerto Rico	PuertoRico, puerto_rico	Various	Puerto Rico
Hawaii	Climate data for Hawaiian Islands	hawaii_2018	Various	Hawaii
Red River	Regional climate projections for Red River basin	RedRiver, red_river_2018	Various	Red River Basin
Climate Resilience	Climate resilience and adaptation datasets	cprep	Various	Continental US
Sea Level Rise	Sea level rise projections and coastal impacts	slr2d	Various	US Coastal Areas
ICLUS	Integrated Climate and Land Use Scenarios	iclus	2000-2100	Continental US
PACIS	Pacific Islands Climate Science datasets	pacis	Various	Pacific Islands
WICCI	Wisconsin Initiative on Climate Change Impacts	wicci	Various	Wisconsin/Upper Midwest
MOWS	Modeling of Watershed Systems	mows	Various	Various basins
California BCM	California Basin Characterization Model	CA-BCM-2014	Various	California
SERAP	Southeast Regional Assessment Project	serap	Various	Southeastern US
TTU	Texas Tech University regional climate datasets	TTU_2019	Various	Texas/Southwest
Cooper	Regional hydrologic modeling datasets	cooper	Various	Various regions
GMO	Geospatial modeling and optimization datasets	GMO, GMO_New	Various	Various regions
FLET	Flow and Load Estimation Tool datasets	FLET	Various	Various basins
Permafrost	Alaska/Arctic permafrost modeling datasets	AIEM_permafrost	Various	Alaska/Arctic
Notaro	Regional climate analysis datasets	notaro_2018	Various	Great Lakes region

Data Access#

All NHGF STAC datasets are accessible through:

STAC API: https://api.water.usgs.gov/gdp/pygeoapi/stac

Usage with gdptools#

NHGFStacData is a factory that auto-detects whether a STAC collection is Zarr-backed or GeoTIFF-backed and returns the appropriate class (NHGFStacZarrData or NHGFStacTiffData). Use the get_stac_collection() helper to retrieve a collection by its ID.

Zarr example (CONUS404 daily data)#

from gdptools import NHGFStacData
from gdptools.helpers import get_stac_collection

collection = get_stac_collection("conus404_daily")
user_data = NHGFStacData(
    source_collection=collection,
    source_var=["PWAT"],
    target_gdf=watersheds,
    target_id="huc12",
    source_time_period=["2020-01-01", "2020-01-31"],
)
# user_data is an NHGFStacZarrData instance

GeoTIFF example (NLCD land cover)#

collection = get_stac_collection("nlcd-LndCov")
user_data = NHGFStacData(
    source_collection=collection,
    source_var=["LndCov"],
    target_gdf=watersheds,
    target_id="huc12",
    source_time_period=["2021-01-01", "2021-12-31"],
)
# user_data is an NHGFStacTiffData instance

See the User Data Classes documentation for the full API reference.