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Federal
Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins: Daily Climate Metrics Derived from GridMET, 1980 - 2020 recent views
Department of the Interior —
These tabular data sets represent daily climate metrics processed from 4 kilometer GridMET data (Abatzoglou, 2013) for the period of record 1980 through 2020 and... -
Federal
Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portions of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins: Daily Snow Water Equivalent, 1981 - 2020 recent views
Department of the Interior —
These tabular data sets represent daily climate metrics processed from 4 kilometer snow water equivalent (SWE) raster data in millimeters (Broxton and others, 2019)... -
Federal
Federal Stakeholder 2022 Online Survey Results for the Re-Prioritization of the USGS Federal Priority Streamgage Network recent views
Department of the Interior —
This data release has the results of 333 online survey respondents representing 17 federal agencies and 7 Executive Branch departments from March 14 through April 14,... -
Federal
Data-Driven Drought Prediction Project Model Inputs for Upper and Lower Colorado Portion of the National Hydrologic Geo-Spatial Fabric version 1.1 and Select U.S. Geological Survey Streamgage Basins: Daily Climate Metrics Derived from NLDAS2, 1980 - 2020 recent views
Department of the Interior —
These tabular data sets represent the average daily soil moisture water content (kg/m^2) for four different soil layers processed from North American Land Data... -
Federal
Precipitation and Groundwater Level Inputs for a Rain Garden on Sandy Soil, Gary, Indiana, 2016-18 recent views
Department of the Interior —
A rain garden and other stormwater control measures (SCM) were installed at Gary City Hall in Gary, Indiana to retain water, increase infiltration and divert...