dCLIMBA learns parametric bias corrections for GCM precipitation using differentiability to match observations, improving extreme distributions and showing partial generalization.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.