A Novel Deep Learning Approach for Data Assimilation of Complex Hydrological Systems
Abstract In hydrological research, data assimilation (DA) is widely used to fuse the information contained in process‐based models and observational data to reduce simulation uncertainty. However, many popular DA methods are limited by low computational efficiency or their reliance on the Gaussian a...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-02-01
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| Series: | Water Resources Research |
| Online Access: | https://doi.org/10.1029/2023WR035389 |
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