Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States
Description
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.
1. 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 locations.
Resources
| Name |
Format |
Description |
Link |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P97NIH7Y |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.64259aead34e370832ff5e7b.xml |
Tags
- statistical-analysis
- droughts
- climatologymeteorologyatmosphere
- modeling
- streamflow-percentiles
- deep-learning
- streamflow-predictions
- streamflow
- usgs-64259aead34e370832ff5e7b
- upper-colorado-river
- long-short-term-memory
- drought-prediction
- river-systems
- conterminous-united-states
- hydrology
- machine-learning