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Da Fan
Columbia UniversityMeeting roles in:
Deep Contrastive Learning for Microphysics Scheme Comparison in a Perturbed Initial Condition CESM Ensemble
Disentangled Contrastive Representation Learning for Interpretable Analysis of Warm Rain Microphysics Schemes
Improving Extreme Precipitation Representation with ML Based Warm Microphysics in CESM
Structural error-aware climate model calibration with global, local and zonal climatologies using Perturbed Parameter Ensembles (PPEs)
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