Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles
<p>Data assimilation is an essential component of any hydrological forecasting system. Its purpose is to incorporate some observations from the field when they become available in order to correct the state variables of the model prior to the forecasting phase. The goal is to ensure that the f...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2022-09-01
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| Series: | The Cryosphere |
| Online Access: | https://tc.copernicus.org/articles/16/3489/2022/tc-16-3489-2022.pdf |