About this document
Snow Data Assimilation for Streamflow Prediction by yerel_morales is a document available to read on EtoBox.
This study evaluates the use of snow water equivalent (SWE) data assimilation via the ensemble Kalman filter (EnKF) to enhance seasonal streamflow predictions in the western United States. The research focuses on the impact of observational uncertainty and model state variations on forecast skill across nine river basins, revealing that while EnKF generally improves predictions, the effectiveness varies based on the basin
- Author
- yerel_morales
- Language
- EN