The Dual Benefit of Machine Learning as a Supplement for Hydrological Models
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W[2019AGUFM.H33L2136O]
LA["Linked Authors (0)"]
LI["Linked Institutions (1)"]
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- ADS bibcode
- 2019AGUFM.H33L2136O
- year
- 2019
- Listed Authors
- Oppel, H.
- Schumann, A. H.
- Listed Institutions
- Chair of Hydrology, Water Resource Management & Environmental Engineering, Ruhr University Bochum, Bochum, Germany
- Ruhr University Bochum, Bochum, Germany
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Linked Institutions