Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
- 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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Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0) ; year:2019 ; pages:1-68
Geoscientific model development discussions ; (2019), 1-68
- Creator
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Pulkkinen, Seppo
Nerini, Daniele
Pérez Hortal, Andrés A.
Velasco-Forero, Carlos
Seed, Alan
Germann, Urs
Foresti, Loris
- DOI
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10.5194/gmd-2019-94
- URN
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urn:nbn:de:101:1-2019051605013887595876
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Pulkkinen, Seppo
- Nerini, Daniele
- Pérez Hortal, Andrés A.
- Velasco-Forero, Carlos
- Seed, Alan
- Germann, Urs
- Foresti, Loris
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DEUCE v1.0: A neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties
DEUCE v1.0: a neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties
CCdownscaling: an open-source Python package for multivariable statistical climate model downscaling V1.0
ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data
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RainNet v1.0 : a convolutional neural network for radar-based precipitation nowcasting
HyPhAI v1.0: Hybrid Physics-AI architecture for cloud cover nowcasting
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Open-source modular solutions for flexural isostasy : gFlex v1.0