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This is accompanying data produced for the study "Implications of Model Selection: Inter-Comparison of Publicly-Available, CONUS-Extent Hydrologic Component Estimates". These datasets were converted from their primary structures (rasters and shapefiles) to EPA Ecoregions Level I. Conversion was performed by averaging timestep layers via mean area weight to produce a single vector of monthly values for each ecoregion, for each of the following hydrologic cycle components: precipitation (P), actual evapotranspiration (AET), runoff (R), snow water equivalent (SWE), rootzone soil moisture in equivalent water depth (RZSME), and rootzone soil moisture in volumetric water content (RZSMV).
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This data release supports the study by Sexstone and others (2019) and contains simulation output from a hydrological modeling experiment using a specific calibration of the conterminous United States (CONUS) application of the Precipitation-Runoff Modeling System (PRMS) (Hay, 2019) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The by hydrologic response unit (byHRU) calibrated, baseline version of the NHM-PRMS (Hay, 2019) was used to evaluate the sensitivity of simulated runoff to the representation of snow depletion curves (SDCs) within the NHM-PRMS across the CONUS. The model experiment consisted of seven NHM-PRMS model simulations using the calibrated NHM-PRMS...


    map background search result map search result map Data release in support of runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018 Data release in support of runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018