Filters: Types: Map Service (X) > partyWithName: Benjamin J Dietsch (X)
Folders: ROOT > ScienceBase Catalog > USGS Lower Mississippi-Gulf Water Science Center > @ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study > Surface Water Model ( Show all descendants )
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ROOT _ScienceBase Catalog __USGS Lower Mississippi-Gulf Water Science Center ___@ Mississippi Alluvial Plain (MAP) Regional Water-Availability Study ____Surface Water Model Filters
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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
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