Articles | Volume 19, issue 12
https://doi.org/10.5194/tc-19-6691-2025
https://doi.org/10.5194/tc-19-6691-2025
Research article
 | 
09 Dec 2025
Research article |  | 09 Dec 2025

Evaluating the utility of Sentinel-1 in a Data Assimilation System for estimating snow depth in a mountainous basin

Bareera N. Mirza, Eric E. Small, and Mark S. Raleigh

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Short summary
This study tests snow depth retrieved from Sentinel-1 radar and its use in a data assimilation (DA) model for the East River Basin, Colorado (2017–2021). Results show large and uneven errors, with temporal root mean square error (RMSE) around 0.4 m and spatial RMSE over 0.7 m. Combining Sentinel-1 with Moderate Resolution Imaging Spectroradiometer (MODIS) Snow Disappearance Date data did not improve results, indicating limited value for mountain snow mapping.
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