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Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States

Dates

Publication Date
Start Date
1980-01-01
End Date
2020-12-31

Citation

Hamshaw, S.D., Sando, R.R., Goodling, P.J., McShane, R.R., Watkins, W., and White, E., 2023, Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States: U.S. Geological Survey data release, https://doi.org/10.5066/P97NIH7Y.

Summary

This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to different models and spatial extents (Colorado River Basin region or conterminous United States). See the list below or metadata files in each sub-folder for more details. Daily streamflow percentile predictions for the Colorado River Basin region — Outputs from long short-term memory (LSTM) deep learning models corresponding to selected stream gage [...]

Child Items (1)

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Purpose

This page was created to communicate and share Department of Interior internal information related to the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. This project focuses on the initial development of regional and national scale prototypes of hydrologic drought prediction models.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P97NIH7Y

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