Interpretable deep learning for studying the Earth system : Soil-moisture-precipitation coupling across Europe
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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In: https://doi.org/10.3389/frwa.2021.745563
In: https://doi.org/10.5194/gmd-16-2149-2023
Bonn, Rheinische Friedrich-Wilhelms-Universität, Dissertation, 2023
- Keyword
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Maschinelles Lernen
- Event
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Veröffentlichung
- (where)
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Bonn
- (who)
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Universitäts- und Landesbibliothek Bonn
- (when)
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2023
- Creator
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Tesch, Jan Tobias
- Contributor
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Kollet, Stefan
Garcke, Jochen
- Handle
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20.500.11811/11151
- URN
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urn:nbn:de:hbz:5-72736
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:34 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Tesch, Jan Tobias
- Kollet, Stefan
- Garcke, Jochen
- Universitäts- und Landesbibliothek Bonn
Time of origin
- 2023
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SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation
SMPD: A soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation
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