Skip to main content
Advanced Search

Filters: Contacts: {oldPartyId:64800} (X)

8 results (78ms)   

View Results as: JSON ATOM CSV
The files contained on this site are for use with the National Hydrologic Model (NHM) for the Precipitation Runoff Modeling System (PRMS), developed by the Modeling of Watershed Systems (MoWS) group of the U.S. Geological Survey. PRMS is a daily deterministic watershed-scale model (Markstrom and others, 2015), and can be used at a conterminous United States (CONUS) extent with on the Geospatial Fabric (Viger and Bock, 2014) in the NHM infrastructure (Regan and others, 2018). The NHM-PRMS is the sum of three parts: the source code, parameter values, geospatial fabric (Regan and others, in press). These components are used to generate the simlation output files. Child items of this page include all or parts of these...
thumbnail
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).
thumbnail
Models that predict the flow of rivers and streams are critically important for planning flood control, hydropower, and reservoir operations, as well as for management of fish and wildlife populations. As temperatures and precipitation regimes change globally, the need to improve and develop these models for a wider spatial coverage and higher spatial fidelity becomes more imperative. Currently, one of the biggest impediments to developing robust streamflow knowledge is incomplete understanding of the range of timescales over which water is stored (e.g., in snowpack, soils, and groundwater) in watersheds, as well as the processes and factors that control those storage timescales. This working group will address...
thumbnail
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...
thumbnail
This data release contains input data for hydrologic simulations of the Alaska Domain application of the U.S. Geological Survey (USGS) Precipitation Runoff Modelling System (PRMS) as implemented in the National Hydrologic Model (NHM) infrastructure (Regan and others, 2018). The NHM Alaska Domain parameter database consists of 114 parameter files in ASCII format (CSV), two files needed to run the Alaska Domain PRMS (control.fy19deliverable and fy19_deliv.param), two xml files (dimensions.xml and parameters.xml) containing descriptive information about the parameters, and a table that defines each parameter (AK_paramDB_datadictionary.csv). The Entity and Attribute element of this metadata record describe the data...
thumbnail
Optimal hydrograph separation (OHS) is a two-component, hydrograph separation method that uses a two-parameter, recursive digital filter (RDF) constrained via chemical mass balance to estimate the base flow contribution to a stream or river (Rimmer and Hartman, 2014; Raffensperger et al., 2017). A recursive digital filter distinguishes between high-frequency and low-frequency discharge data within a hydrograph, where high-frequency data corresponds to quick flow or storms and low-frequency data corresponds to base flow. The two parameters within the RDF are alpha and beta, both are unitless. Alpha is defined as the recession constant and typically found through recession analysis. For the purposes of this data release...
thumbnail
This data release contains a geospatial dataset for the U.S. Geological Survey Precipitation Runoff Modeling System (PRMS) used to drive the National Hydrologic Model (NHM). The Alaska Geospatial Fabric v1 is the spatial representation of the hydrologic response units (HRUs) used for the PRMS NHM Alaska domain. These HRUs were generated using the twelve-digit Hydrologic Unit Code (HUC12) watershed from the U.S. Geological Survey's Watershed Boundary Dataset (USGS, 2019), the Natural Resources Canada National Hydrographic Network (NHN) Work Units (NHN, 2019), similar to USGS eight-digit HUC watersheds, and stream gage locations from the U.S. Geological Survey (USGS, 2019) and Natural Resources Canada (NHN, 2019)....
thumbnail
This project, part of the Water Mission Area's Water Availability and Use Science Program, seeks to estimate components of the water budget, including water use, for the Nation. The water budget project framework provides an infrastructure for comparison within models and between simulated and observed values to improve our understanding of the interaction of water budget components towards improved estimates of water availability.


    map background search result map search result map USGS NHM-PRMS Releases Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Water Budget Estimation and Evaluation Project 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 National Hydrologic Model Alaska Domain parameter database, version 1 Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1 National Hydrologic Model Alaska Domain parameter database, version 1 Geospatial Fabric for the National Hydrologic Model Alaska Domain, version 1 Data release in support of runoff sensitivity to snow depletion curve representation within a continental scale hydrologic model Base flow estimation via optimal hydrograph separation at CONUS watersheds and comparison to the National Hydrologic Model - Precipitation-Runoff Modeling System by HRU calibrated version Collection of Hydrologic Models, Reanalysis Datasets, and Remote Sensing Products Aggregated by Ecoregion over the CONUS from 1900 to 2018 Water Budget Estimation and Evaluation Project