Deep Dive into Global Hydrologic Simulations: Harnessing the Power of Deep Learning and Physics-informed Differentiable Models (δHBV-globe1.0-hydroDL)
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Deep Dive into Global Hydrologic Simulations: Harnessing the Power of Deep Learning and Physics-informed Differentiable Models (δHBV-globe1.0-hydroDL) ; day:05 ; month:10 ; year:2023 ; pages:1-23 ; extent:23
Geoscientific model development discussions ; (05.10.2023), 1-23 (gesamt 23)
- Creator
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Feng, Dapeng
Beck, Hylke
de Bruijn, Jens
Sahu, Reetik Kumar
Satoh, Yusuke
Wada, Yoshihide
Liu, Jiangtao
Pan, Ming
Lawson, Kathryn
Shen, Chaopeng
- DOI
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10.5194/gmd-2023-190
- URN
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urn:nbn:de:101:1-2023101204374930630617
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:53 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Feng, Dapeng
- Beck, Hylke
- de Bruijn, Jens
- Sahu, Reetik Kumar
- Satoh, Yusuke
- Wada, Yoshihide
- Liu, Jiangtao
- Pan, Ming
- Lawson, Kathryn
- Shen, Chaopeng