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IceCloudNet (IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI)

Project

Summary: IceCloudNet is a deep learning model that maps between geostationary data and vertically resolved DARDAR and DARDAR-Nice data. IceCloudNet is able to adequately reconstruct the vertical cloud structure
Project: IceCloudNet (IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI)
Creation Date: 2024-05-07

[Entry acronym: IceCloudNet] [Entry id: -2000266] [ Score: 32.17788]

IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI

Experiment

Identifier

https://www.wdc-climate.de/ui/entry?acronym=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
mixed-phase clouds
remote sensing
vertical reconstruction

Creation Date

2024-05-07

Temporal Coverage

2010-01 TO 2010-12

Spatial Coverage

Longitude: -30.00, 30.00 Latitude: -30.00, 30.00

Status

metadata only

[Entry acronym: IceCloudNet_3Drecon] [Entry id: 5275192] [ Score: 17.463655]

IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI (2010)

Dataset

Project: IceCloudNet (IceCloudNet: 3D reconstruction of tropical cloud ice from Meteosat SEVIRI)
Creation Date: 2024-05-07
Temporal Coverage: 2010-01 TO 2010-12
Spatial Coverage: Longitude: -30.00, 30.00 Latitude: -30.00, 30.00
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Status: metadata only
Format: NetCDF

[Entry acronym: IceCloudNet_3Drecon_2010] [Entry id: 5275193] [ Score: 1.7400279]

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