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IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI - data
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. The predictions come at the spatio-temporal coverage and resolution of Meteosat SEVIRI and the vertical resolution of DARDAR. IceCloudNet consists of a ConvNeXt-based U-Net and a 3D PatchGAN discriminator model and is trained by predicting DARDAR profiles from co-located SEVIRI images. Despite the sparse availability of DARDAR data due to its narrow overpass, IceCloudNet is able to predict cloud occurrence, macrophysical shape, and microphysical properties with high precision.
We release 5 years of vertically resolved ice water content (IWC) and ice crystal number concentration (Nice) of clouds containing ice with a 3 km×3 km×240 m×15 minute resolution on a spatial domain of 30°W to 30°E and 30°S to 30°N. The resulting data set increases the availability of vertical cloud profiles for the period when DARDAR is available by more than six orders of magnitude and moreover, is able to provide vertical cloud profiles beyond the lifetime of the recently ended satellite missions underlying DARDAR.
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Citation proposal
(2024) . IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI - data. https://gdk.gdi-de.org/geonetwork/srv/api/records/wdc-climate.de:5275192 |
Simple
- Date ( Publication )
- 2024-10-09
- Edition
- 1
- Identifier
- IceCloudNet_3Drecon
- Identifier
- doi:10.26050/WDCC/IceCloudNet_3Drecon
Principal investigator
- Contact instructions
- Email: kai.jeggle@env.ethz.ch
- Website
- http://www.iac.ethz.ch/
Author
- Contact instructions
- Email: kai.jeggle@env.ethz.ch
- Website
- http://www.iac.ethz.ch/
Author
- Contact instructions
- Email: Mikolaj.Czerkawski@esa.int
- Website
- http://www.esa.int
Author
- Contact instructions
- Email: federico.serva@artov.isac.cnr.it
- Website
- not filled
Author
- Contact instructions
- Email: bls@ieee.org
- Website
- http://www.esa.int
Author
- Contact instructions
- Email: david.neubauer@env.ethz.ch
- Website
- http://www.iac.ethz.ch/
Author
- Contact instructions
- Email: ulrike.lohmann@env.ethz.ch
- Website
- http://www.iac.ethz.ch/
Publisher
Point of contact
Point of contact
- Name
- NetCDF
- Keywords
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- cirrus clouds
- Keywords
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- clouds
- Keywords
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- deep learning
- Keywords
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- deep learning-based 3D reconstruction
- Keywords
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- machine learning
- Keywords
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- mixed-phase clouds
- Keywords
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- neural rendering
- Keywords
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- remote sensing
- Keywords
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- vertical reconstruction
- Use limitation
- CC-BY-4.0: Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/
- Metadata language
- eng; USA
))
- Supplemental Information
- info:eu-repo/grantAgreement/EC/H2020/860100/BE//innovation program iMIRACLI under Marie Skłodowska-Curie (iMIRACLI)
- Distribution format
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- NetCDF ()
- Transfer size
- 19177803
- OnLine resource
- https://www.wdc-climate.de/ui/entry?acronym=IceCloudNet_3Drecon
- Hierarchy level
- collection collection
gmd:MD_Metadata
- File identifier
- wdc-climate.de:5275192 XML
- Metadata language
- eng; USA
- Hierarchy level
- collection collection
- Hierarchy level name
- IceCloudNet_3Drecon
- Date stamp
- 2024-05-07T10:54:06
- Metadata standard name
- ISO 19115
- Metadata standard version
- ISO 19115-2:2009
Point of contact
Point of contact
Overviews
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