This digital geospatial data set consists of potentiometric contours that show lines of equal altitude of the generalized, long-term, regional water table in the northern part of Las Animas County, Colorado. The U.S. Geological Survey developed this data set as part of a cooperative project with the Colorado Water Conservation Board.

This digital geospatial data set consists of potentiometric contours that show lines of equal altitude of the generalized, long-term, regional water table in the northern part of Las Animas County, Colorado. The U.S. Geological Survey developed this data set as part of a cooperative project with the Colorado Water Conservation Board.

This dataset is a continuous parameter grid (CPG) of baseflow index values (percent of discharge as baseflow) estimated at U.S. Geological Survey (USGS) streamgages in the Pacific Northwest. Source data was produced by David Wolock of USGS.

This U.S. Geological Survey (USGS) metadata release consists of 17 different spatial layers in GeoTIFF format. They are: 1) average water capacity (AWC.zip), 2) percent sand (Sand.zip), 3) percent silt (Silt.zip), 4) percent clay (Clay.zip), 5) soil texture (TEXT_PRMS.zip), 6) land use/land cover (LULC.zip), 7) snow values (Snow.zip), 8) summer rain values (SRain.zip), 9) winter rain values (WRain.zip), 10) leaf presence values (keep.zip), 11) leaf loss values (loss.zip), 12) percent tree canopy (CNPY.zip), 13) percent impervious surface (Imperv.zip), 14) snow depletion curve numbers (Snow.zip), 15) rooting depth (RootDepth.zip), 16) permeability values (Lithology_exp_Konly_Project.zip), and 17) water bodies. All data cover the National Hydrologic Model's (NHM) version 1.1 domain. The NHM is a modeling infrastructure consisting of three main parts: 1) an underlying geospatial fabric of modeling units (hydrologic response units and stream segments) with an associated parameter database, 2) a model input data archive, and 3) a repository of the physical model simulation code bases (Regan and others, 2014). The NHM has been used for a variety of applications since its initial development.The 250-meter (m) raster data sets for soils are derived from the OpenGeoHub's LandGIS data (Hengl, 2018). The 30-meter raster of land use and land cover data are a simplified re-classification version of the North American Land-Change Monitoring System (NALCMS, Latifovic and others, 2012) data following the guidance in Viger and Leavesley (2007). This layer was used to derive rasters representing dominant vegetative cover type, snow, summer and winter rain interception values, leaf cover and loss, and rooting depth. The impervious data was compiled from the Global Man-made Impervious Surface (GMIS) Dataset from Landsat, v1 (NASA, 2010). The tree canopy data was compiled from MOD44B MODIS/Terra Vegetation Continuous Fields Yearly L3 Global 250m SIN Grid V006, (Carroll and others, 2017). The snow depletion data was compiled from data by Liston and others (2009) and further processed using methods by Sexstone and others (2020). All file formats are in GeoTIFF (Geograhpic Tagged Imaged Format).

This dataset consists of contours showing the generalized depth to water for the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Depth to water was contoured from values in the raster dataset dtw. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.

This dataset consists of contours showing the generalized altitude of the potentiometric surface for the shallow groundwater system in the Lower Gunnison River Basin in Delta, Montrose, Ouray, and Gunnison Counties, Colorado. Potentiometric-surface altitude was contoured from values in the raster dataset potalt. The U.S. Geological Survey prepared this dataset in cooperation with the Colorado Water Conservation Board.

The data within this data release presents information used to characterize the groundwater-flow system and the development of a groundwater-flow model in the active model area. Conceptual and numerical models of groundwater flow were developed by the U.S. Geological Survey Washington Water Science Center, in close cooperation with 18 water-resource agencies and stakeholders, to assess the potential hydrologic and anthropogenic impacts to groundwater and the connected surface-water resources.

The data within this data release presents information used to characterize the groundwater-flow system and the development of a groundwater-flow model in the active model area. Conceptual and numerical models of groundwater flow were developed by the U.S. Geological Survey Washington Water Science Center, in close cooperation with 18 water-resource agencies and stakeholders, to assess the potential hydrologic and anthropogenic impacts to groundwater and the connected surface-water resources.

This dataset contains manually developed 50-, 100-, and 500-ft contours depicting shallow and deep potentiometric-surface maps for the Walla Walla River Basin aquifer system, Oregon and Washington. The potentiometric surfaces show altitude at the water-table throughout the region (shallow) and at which the water level would have risen in tightly-cased wells beneath the basin-fill deposits (deep). Potentiometric surfaces generally represent synoptic conditions during January–April of 2021. The water-table map was developed using groundwater-level measurements from shallow wells open to the upper part of the unconfined aquifer and the altitudes of springs and gaining stream reaches and constrained by the altitude of the land surface. The deeper potentiometric-surface map was developed using measurements from deeper wells open to basalt beneath the basin-fill sediments. Both maps were also informed by water levels collected before and after the period depicted where these water levels added additional insight. The hydraulic-head distributions depicted are generalizations. The large study area, availability of water-level measurements, the distribution of wells across the Walla Walla River Basin, and resource limitations precluded mapping all the complexities of the head distribution. Groundwater heads of 1,000 ft or more were mapped using 500-ft contour intervals and generally coincide with upland areas where wells are sparse and the water table is strongly controlled by topography.