Model inputs for machine learning models forecasting streamflow drought across the conterminous United States (ver. 2.0, September 2025)
收藏DataCite Commons2025-09-22 更新2026-05-07 收录
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https://www.sciencebase.gov/catalog/item/68191a56d4be0208bc3e02b9
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资源简介:
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)
提供机构:
U.S. Geological Survey
创建时间:
2025-07-01



