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Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025)

July 1, 2025

This dataset contains 3,229 feather files with time series of all model inputs for machine learning models predicting streamflow drought across the conterminous United States (CONUS). Files contain weekly time series of streamflow percentiles, meteorology, snow water equivalent, forecast meteorology, estimated water use, soil moisture, as well as lagged versions of these datasets. Values in these files were assembled from existing published datasets as explained in the data quality and processing steps sections.

First release: July 2025

Revised:September 2025 (ver. 2.0)

Publication Year 2025
Title Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025)
DOI 10.5066/P1X5VH96
Authors John C Hammond
Product Type Data Release
Record Source USGS Asset Identifier Service (AIS)
USGS Organization MD-DE-DC Water Science Center
Rights This work is marked with CC0 1.0 Universal
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