Preprint of paper using deep learning and snowpack information in ensemble streamflow prediction
You can now find a preprint of our NOAA-funded work on using deep learning and snowpack information in an ensemble streamflow prediction model on the !
The paper's lead author was PhD student Parthkumar Modi, and co-authors are Keith Jennings, Joseph Kasprzyk, Eric Small, Cam Wobus, and Ben Livneh.
The paper assesses whether the Long Short-Term Memory model can provide skillful forecasts when used in an ensemble streamflow prediction mode, with multiple model types including explicit snowpack information to improve the hydrologic memory representation.