Journal of Hydrology X
 2024
DOI: 10.1016/j.hydroa.2024.100190
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A combined data assimilation and deep learning approach for continuous spatio-temporal SWE reconstruction from sparse ground tracks

Matteo Guidicelli,
Kristoffer Aalstad,
Désirée Treichler
et al.
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