Model inputs for machine learning models forecasting streamflow drought across the conterminous United States
Description
This dataset contains 3,219 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.
Resources
| Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P1X5VH96 |
Tags
- snow-water-equivalent
- precipitation
- model-input
- drought
- biota
- meteorology
- weekly
- streamflow
- usgs-68191a56d4be0208bc3e02b9
- machine-learning