A CVAE-GAN U-Net stochastic generator trained on CloudSat-CALIPSO data halves RMSE in cloud histograms and cuts global shortwave cloud radiative effect bias by a factor of three versus the Räisänen method.
Columns show REF (CloudSat-CALIPSO of O22a), Räisänen with O22b decorrelation lengths, and ML (CVAE-GAN)
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Assessment of cloud and associated radiation fields from a GAN stochastic cloud subcolumn generator
A CVAE-GAN U-Net stochastic generator trained on CloudSat-CALIPSO data halves RMSE in cloud histograms and cuts global shortwave cloud radiative effect bias by a factor of three versus the Räisänen method.