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The output data in this collection is essentialy identical to that in version 1.0, but is more formally packaged. It includes reference to source data sets and software used to derived the output. Input data include two routing parameters from the NHM archive ("paramdb") of PRMS parameters: hru_segment_nhm and tosegment_nhm. hru_segment_nhm defines the stream segment to which the fluxes from each HRU arrives. tosegment_nhm defines the next downstream segment in the Geospatial Fabric. The values for both of these parameters reflect the national stream segment identifiers (as opposed to region-specific equivalents, hru_segment and tosegment). The software is provided in order to allow regeneration of the headwater...
The overall objective of the MoWS research group is to gain better understanding of the precipitation-runoff processes and use this knowledge to develop improved hydrologic models. The main research topics include: • Add functionality and improvements to the MoWS simulation models being developed and integrate with other hydrologic, hydraulic, and climate models. • Enhance the models to use the best and latest topographic, climate, geologic, and land-use data sets as direct input to process algorithms to increase the physical nature and temporal and spatial resolution of model input. • Develop national model structure and calibration strategy for national model application.
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A hydrologic model was developed as part of the Southeast Regional Assessment Project using the Precipitation Runoff Modeling System (PRMS), a deterministic, distributed-parameter, process-based system that simulates the effects of precipitation, temperature, and land use on basin hydrology. Streamflow and other components of the hydrologic cycle simulated by PRMS were used to inform other types of simulations such as water-temperature, hydrodynamic, and ecosystem-dynamics simulations.
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(Hyperlink to Official Landing Page for Geospatial Fabric products)
A list of stream gages within the conterminous United States that will serve as the initial list of sites (version 1.0) used for streamflow benchmarking of hydrologic models. Sites within this list were chosen based on their presence in the GAGES-II dataset, their availability of modeled streamflow data from the most recent version of the National Hydrologic Model application of Precipitation-Runoff Modeling System v1.0, and their availability of modeled streamflow data from the most recent version of the NOAA National Water Model application of WRF-hydro version 2.1 retrospective dataset.
The USGS Modeling of Watershed Systems (MoWS) team has developed a National Hydrologic Modeling Framework, which is built on a Geospatial Fabric (GF). The GF is composed of GIS features such as points of interest (POIs), stream segments, and hydrologic responses units (HRUs). The GF is derived for the United States using automated software and the NHDPlus data set. The derived data are organized into the spatial Regions defined by the NHDPlus tiling scheme. In some cases, particularly with regard to routing, users have offered corrections to the derived parameters. If accepted by the MoWS team, the corrected values are published here. The current ScienceBase item provides one or more files, each of which lists...
Modeling of watershed response to normal and extreme climatic conditions or to changes in the physical conditions of a watershed requires the simulation of a variety of complex hydrologic processes and process interactions. Some of these processes are well understood at a point or for a small area; others are poorly understood at all scales. Increasing spatial and temporal variability in climate and watershed characteristics with an increase in watershed area adds significantly to the degree of difficulty in investigating and understanding these processes. Research is needed to better define these processes and to develop techniques to simulate these processes and their interactions at all watershed scales. Project...
The Hydro-Terrestrial Earth System Testbed (HyTEST) project will provide standards, protocols, and data content to deliver a community-based computational testbed that will improve our ability to rapidly research, develop, test, and apply models across a variety of scales. In addition, the project will develop a transparent and adaptive governance process. This governance process will define the basis for assessing the performance of modeling applications. The HyTEST computational testbed and its governance processes will help produce a unified enterprise capacity for hydrologic simulation and prediction capacity.
Abstract: A study was conducted by the U.S. Geological Survey (USGS), in cooperation with the Gulf Coastal Plains and Ozarks Landscape Conservation Cooperative (GCPO LCC) and the Department of the Interior Southeast Climate Adaptation Science Center, to evaluate the hydrologic response of a daily time step hydrologic model to historical observations and projections of potential climate and land-cover change for the period 1952–2099. The model simulations were used to compute the potential changes in hydrologic response and streamflow statistics across the Southeastern United States, using historical observations of climate and streamflow. Thirteen downscaled general circulation models with four representative concentration...
Categories: Publication; Types: Citation
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(Hyperlink to Official Landing Page for Geospatial Fabric products)
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The National Hydrogeologic Grid (NHG) dataset includes a raster and vector representation of 1-km cells defining a uniform grid that encompasses the continental United States. The value of each cell of the raster dataset corresponds to the 1-km cell number defined as 'cellnum' in the attributes of the vector data. The NHG consists of 4,000 rows and 4,980 columns, numbered from the top left corner of the grid, to correspond to the traditional row and column numbering system of the MODFLOW groundwater-flow simulation code (Hughes and others, 2017; Langevin and others, 2017). The Albers projection was chosen for the NHG because of the capability to best preserve area, which is crucial in the computation of volume for...
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(Hyperlink to Official Landing Page for Geospatial Fabric products) After intial routing parameters were derived for the Geospatial Fabric v. 0.1, users developed updates to this information that was better suited for PRMS modeling. These corrections into the PRMS parameter files, but were not immediately added back into the Geospatial Fabric databases. This set of graphics was generated by scanning the SVN respository for the National Hydrologic Model, extracting the routing parameters recorded there and applying these values to the Geospatial Fabric. The "When" field indicates the date of the scan of the NHM SVN parameter respository.
Water management planners and researchers throughout the world rely on hydrological models to forecast and simulate streamflow hydrology and hydrological events. These simulations are used to inform water management, municipal planning, and ecosystem conservation decisions, as well as to investigate potential effects of climate and land-use change on hydrology.
This product is an archive of the modeling artifacts used to produce a journal paper (Van Beusekom and Viger, 2016). The abstract for that paper follows. A module to simulate glacier runoff, PRMSglacier, was added to PRMS (Precipitation Runoff Modeling System), a distributed-parameter, physical-process hydrological simulation code. The extension does not require extensive on-glacier measurements or computational expense but still relies on physical principles over empirical relations as much as is feasible while maintaining model usability. PRMSglacier is validated on two basins in Alaska, Wolverine, and Gulkana Glacier basin, which have been studied since 1966 and have a substantial amount of data with which to...
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This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations (version 1.0) as defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE) index, the Kling-Gupta efficiency (KGE) index, the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation,...
The benchmark results library is a library of assessments (benchmark results) for HyTEST-supported Reference Applications, where a Reference Application are modeling applications that HyTEST will sponsor (i.e., National Water Model v2.1, National Hydrologic Model - PRMS (v1.0, v1.1)). Modeling Application Hydrologic Flux Statistical Suite Associated Data Release National Water Model v2.1 Daily Streamflow Standard v1.0 National Hydrologic Model - PRMS V1.0 Daily Streamflow Standard v1.0 National Water Model v2.1 Daily Streamflow d-score v0.1 Link National Hydrologic Model - PRMS V1.0 Daily Streamflow d-score v0.1 Link Link


map background search result map search result map SERAP:  Modeling of Hydrologic Systems National-Scale Grid to Support Regional Groundwater Availability Studies and a National Hydrogeologic Database Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations SERAP:  Modeling of Hydrologic Systems Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages) Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations National-Scale Grid to Support Regional Groundwater Availability Studies and a National Hydrogeologic Database