A benchmarking dataset for data-driven regional climate downscaling CORDEX-ML-Bench is a standardized benchmark for evaluating machine-learning approaches to regional climate downscaling. It is aligned with the World Climate Research Programme's CORDEX framework and constitutes the first phase of a community initiative to advance data-driven downscaling toward operational readiness, complementing future dynamical downscaling efforts under CMIP7. The benchmark targets downscaled daily maximum temperature (tasmax) and precipitation (pr) at ~10 km resolution (a 20x increase in resolution) across three accompanying paper, 40 independently developed ML configurations — spanning traditional ML…
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Neelesh
rampaln
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