dCLIMBA learns parametric bias corrections for GCM precipitation using differentiability to match observations, improving extreme distributions and showing partial generalization.
3.1 Quantile Comparison Quantile comparisons across five climatically-diverse U.S
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A Differentiable Framework for Global Circulation Model Precipitation Bias Correction
dCLIMBA learns parametric bias corrections for GCM precipitation using differentiability to match observations, improving extreme distributions and showing partial generalization.