Data to support network-wide 7-day ahead forecasting of water temperature in the Delaware River Basin: 4) model predictions
Description
This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that makes predictions at 70 river reaches in the upper Delaware River Basin. This section includes predictions from several models, including a model pre-trainer that is predictions from a distance-weighted-average lotic-lentic input network (DWALLIN) model, reservoir outlet temperature predictions from a process-based model, forecasts from a persistence stream water temperature model, and stream water temperature forecasts from two deep learning models, a long-short term memory network and recurrent convolutional graph network model.
Resources
| Name |
Format |
Description |
Link |
|
55 |
The metadata original format |
https://data.usgs.gov/datacatalog/metadata/USGS.624f21fad34e21f82769a7b1.xml |
|
55 |
Landing page for access to the data |
https://doi.org/10.5066/P9NVEA4V |
Tags
- environment
- new-york
- reservoirs
- hybrid-modeling
- modeling
- deep-learning
- united-states
- us
- ny
- inlandwaters
- water-resources
- water
- temperature
- forecast
- streams
- usgs-624f21fad34e21f82769a7b1
- machine-learning