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Data-Driven Drought Prediction Project Model Outputs: Daily Streamflow and Streamflow Percentile Predictions for the Colorado River Basin Region

Dates

Publication Date
Start Date
2005-04-01
End Date
2014-03-31

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 outputs from 12 configurations of long short-term memory (LSTM) models which were used to predict streamflow drought occurrence at 384 stream gage locations in the Colorado River Basin region. The models were trained on data from 01-Oct-1981 to 31-Mar-2005 and validated over the period of record spanning 01-Apr-2005 to 31-Mar- 2014. The models use explanatory variable inputs described in Wieczorek (2023) (doi.org/10.5066/P98IG8LO) to predict daily streamflow and streamflow percentiles as described in Simeone (2022) (doi.org/10.5066/P92FAASD). Separate models were trained to predict daily streamflow and streamflow percentiles. Two types of percentiles were modeled: (1) fixed-threshold percentiles that [...]

Contacts

Attached Files

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percentile_fixed_model_predictions_7day_ahead.csv 48.82 MB text/csv
percentile_fixed_model_predictions_14day_ahead.csv 50.05 MB text/csv
percentile_variable_model_predictions_7day_ahead.csv 52.46 MB text/csv
percentile_variable_model_predictions_14day_ahead.csv 53.67 MB text/csv
streamflow_model_predictions_7day_ahead.csv 57.02 MB text/csv
streamflow_model_predictions_14day_ahead.csv 57.81 MB text/csv
model_validation_performance_metrics_by_gage.csv 222.75 KB text/csv
percentile_fixed_model_predictions_0day_ahead.csv 157.26 MB text/csv
percentile_variable_model_predictions_0day_ahead.csv 167.97 MB text/csv
streamflow_model_predictions_0day_ahead.csv 118.2 MB text/csv
NN_CRB_model_archive.zip 5.88 MB application/zip

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.

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