Use of near-real-time satellite precipitation data and machine learning to improve extreme runoff modeling
Creators
- 1. Universidad de Cuenca
- 2. UNESCO-IHE Institute for Water Education
- 3. UNESCO-IHE Delft Institute for Water Education
- 4. Katholieke Universiteit Leuven
Description
Extreme runoff modeling is hindered by the lack of sufficient and relevant ground information and the low reliability of physically-based models. The authors propose to combine precipitation Remote...
Open Access
Licence Attribution (CC BY)
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Publication Details
Preprint
Publisher:
Wiley
Persistent Identifiers
MAGID
3215314312
DOI
10.1002/essoar.10508861.1
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