Accurate Hydrologic Modeling Using Less Information

Shalev Guy
Shalev Guy
Klotz Daniel
Klotz Daniel
Kratzert Frederik
Kratzert Frederik
Metzger Asher
Metzger Asher
Nevo Sella
Nevo Sella
Cited by: 0|Bibtex|Views9
Other Links: arxiv.org

Abstract:

Joint models are a common and important tool in the intersection of machine learning and the physical sciences, particularly in contexts where real-world measurements are scarce. Recent developments in rainfall-runoff modeling, one of the prime challenges in hydrology, show the value of a joint model with shared representation in this i...More

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