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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.
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...
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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)
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This project will assess the accuracy of climate drivers (precipitation and temperature) from different sources for current and future conditions. The impact of these drivers on hydrologic response will be using the monthly water balance model (MWBM). The methodology for processing and analysis of these datasets will be automated for when new climate datasets become available on the USGS Geo Data Portal ( http://cida.usgs.gov/climate/gdp/). This will ensure continued relevancy of project results, future opportunities for research and assessment of potential climate change impacts on hydrologic resources, and comparison between generations of climate data. To share and distribute the results with scientists and...
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...
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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The proposed work will create a seamless pilot dataset of continuous basin characteristics (for example upstream average precipitation, elevation, or dominant land cover type) for the conterminous United States. Basin characteristic data are necessary for training or parameterizing statistical, machine learning, and physical models, and for making predictions across the landscape, particularly in areas where there are no observations. The pilot dataset will be accessible to the public via an interactive map and Web-based query service. The pilot dataset, USGS software used to produce it, and a publication on the processing methods will be generated. This work represents a substantial addition to USGS data services...
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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...
The increasing availability of climate projections provides natural resource managers and scientists with a number of scenarios from which to estimate variability in hydrologic response to future climatic conditions. This presents a need for consistent and efficient conversion of climate data into model-ready format, archiving and indexing of model simulation results, and the visualization and summation of model simulation results. Furthermore, decision-makers need this information at specific locations and for specific periods of record to effectively manage their water resources. This final report summarizes a collaborative effort to help address these issues through the construction of the Monthly Water Balance...
As research and management of natural resources shift from local to regional and national scales, the need for information about aquatic systems to be summarized to multiple scales is becoming more apparent. Recently, four federally funded national stream assessment efforts (USGS Aquatic GAP, USGS National Water-Quality Assessment Program, U.S. Environmental Protection Agency [EPA] StreamCat, and National Fish Habitat Partnership) identified and summarized landscape information into two hydrologically and ecologically significant scales of local and network catchments for the National Hydrography Dataset Plus (NHDPlus). These efforts have revealed a significant percentage of assessment funds being directed to the...


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 SERAP:  Modeling of Hydrologic Systems National-Scale Grid to Support Regional Groundwater Availability Studies and a National Hydrogeologic Database