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IceCloudNet (IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI)
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cirrus clouds
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clouds
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deep learning
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deep learning-based 3D reconstruction
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machine learning
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mixed-phase clouds
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neural rendering
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remote sensing
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vertical reconstruction
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Consiglio Nazionale delle Ricerche
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ETH Zürich
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Czerkawski, Dr. Mikolaj
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Jeggle, Kai
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Le Saux, Dr. Bertrand
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Lohmann, Ulrike
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Neubauer, Dr. David
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Serva, Federico
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IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI - data
DOI
Experiment
Identifier
doi:10.26050/WDCC/IceCloudNet_3Drecon
Summary
IceCloudNet is a novel method based on machine learning able to obtain high-
quality vertically resolved predictions for ice water content and ice crystal number concentration of clouds containing ice.
more ..
Project
IceCloudNet (IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI)
Authors
Jeggle, Kai; Czerkawski, Mikolaj; Serva, Federico; Le Saux, Bertrand; Neubauer, David; Lohmann, Ulrike
Keywords
cirrus clouds
clouds
deep learning
deep learning-based 3D reconstruction
machine learning
more ..
Creation Date
2024-05-07
Temporal Coverage
2010-03 TO 2010-08
Spatial Coverage
Longitude: -30.00, 30.00 Latitude: -30.00, 30.00
Status
will be continued
[Entry acronym: IceCloudNet_3Drecon] [Entry id: 5275192] [ Score: 22.344172]
IceCloudNet
(Project)
IceCloudNet_3Drecon
(Experiment)
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