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IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI - data
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.
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
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]
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