GPEP v1.0: a Geospatial Probabilistic Estimation Package to support Earth Science applications
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
-
GPEP v1.0: a Geospatial Probabilistic Estimation Package to support Earth Science applications ; day:18 ; month:08 ; year:2023 ; pages:1-30 ; extent:30
Geoscientific model development discussions ; (18.08.2023), 1-30 (gesamt 30)
- Urheber
-
Tang, Guoqiang
Wood, Andrew W.
Newman, Andrew J.
Clark, Martyn P.
Papalexiou, Simon Michael
- DOI
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10.5194/gmd-2023-172
- URN
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urn:nbn:de:101:1-2023082404290129342981
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:47 MESZ
Datenpartner
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Beteiligte
- Tang, Guoqiang
- Wood, Andrew W.
- Newman, Andrew J.
- Clark, Martyn P.
- Papalexiou, Simon Michael
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GPEP v1.0: the Geospatial Probabilistic Estimation Package to support Earth science applications
ParticleDA.jl v.1.0: a distributed particle-filtering data assimilation package
GStatSim V1.0: a Python package for geostatistical interpolation and simulation
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)
All aboard! Earth system investigations with the CH2O-CHOO TRAIN v1.0
CCdownscaling: an open-source Python package for multivariable statistical climate model downscaling V1.0
FPDclustering: a comprehensive R package for probabilistic distance clustering based methods
Modern challenges of geospatial data science: the Open-Earth-Monitor project
ORTEGA v1.0: an open-source Python package for context-aware interaction analysis using movement data
DEUCE v1.0: A neural network for probabilistic precipitation nowcasting with aleatoric and epistemic uncertainties