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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.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Hydrology,
USGS Science Data Catalog (SDC),
Water Resources
This item provides Soil-Water-Balance (SWB) model output and a model archive of water budget simulations for the Mississippi Embayment Regional Aquifer System (MERAS) during the period 2000 to 2020. Gridded daily data (1 kilometer resolution) include net infiltration (groundwater recharge), rejected net infiltration, runoff, irrigation, actual evapotranspiration and gross precipitation The model output files are in netcdf format and all water budget components are in inches. The net infiltration, rejected net infiltration, runoff, irrigation, and actual evapotranspiration data sets are from simulations done with the USGS SWB model (version 2; Westenbroek and others, 2018). The precipitation and temperature data...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Groundwater,
Groundwater Recharge Model,
InlandWaters,
Mississippi,
Mississippi River Delta,
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