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Folders: ROOT > ScienceBase Catalog > USGS Lower Mississippi-Gulf Water Science Center > @ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study > Surface Water Model ( Show direct descendants )

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___@ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study
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This data release contains datasets developed for the purpose of training and applying random forest models to the Mississippi Embayment Regional Study Area. The random forest models are designed to predict total stream flow and baseflow as a function of a combination of watershed characteristics and monthly weather data. These datasets are associated with a report (SIR 2022-5079) and code contained in a USGS GitLab repository. The GitLab repository (https://code.usgs.gov/map/maprandomforest/) contains much more information about how these data may be used to supply predictions of stream flow and baseflow.
This data release provides the data that support the findings in "Characterizing groundwater and surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta" by Killian and others (2019). This child item for the Generalized Additive Model includes GAMobs_0410_error data and metadata with the grid node coordinates in North American Datum of 1983 (NAD 83) and results, including error estimates for the Generalized Additive Model (GAM) used to estimate the difference in groundwater altitudes relative to NAD 83 for April 10th of 1980 and April 10th of 2016. The paper associated with the data release quantifies the spatial and temporal changes in baseflow...
This data release provides the data that support the findings in "Characterizing groundwater and surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta" by Killian and others (2019). This child item includes the baseflow_est data and metadata that contain daily mean streamflow data provided by the U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE), as well as estimated daily mean streamflow records for any missing data and the hydrograph-separation and trends analyses results for the five selected sites output by the USGS Groundwater Toolbox (https://water.usgs.gov/ogw/gwtoolbox/). The paper associated with the data release...
This data release provides the data that support the findings in "Characterizing groundwater and surface-water interaction using hydrograph-separation techniques and groundwater-level data throughout the Mississippi Delta" by Killian and others (2019). There are two child items below: (1) Estimated baseflow includes the baseflow_est data and metadata that contain daily mean streamflow data provided by the U.S. Geological Survey (USGS) and the U.S. Army Corps of Engineers (USACE), as well as estimated daily mean streamflow records for any missing data and the hydrograph-separation and trends analyses results for the five selected sites output by the USGS Groundwater Toolbox (https://water.usgs.gov/ogw/gwtoolbox/);...


    map background search result map search result map Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi Embayment Regional Study Area using a random forest model Input data, trained model data, and model outputs for predicting streamflow and base flow for the Mississippi Embayment Regional Study Area using a random forest model