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physics.ao-ph2023★ 1 cited
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
Kai Jeggle, Mikolaj Czerkawski, Federico Serva +3
Clouds containing ice particles play a crucial role in the climate system. Yet they remain a source of great uncertainty in climate models and future climate projections. In this w…
physics.ao-ph2023
Understanding cirrus clouds using explainable machine learning
Kai Jeggle, David Neubauer, Gustau Camps-Valls +1
Cirrus clouds are key modulators of Earth's climate. Their dependencies on meteorological and aerosol conditions are among the largest uncertainties in global climate models. This…