Enhancing Regional Climate Downscaling through Advances in Machine Learning

Neelesh Rampal aNational Institute of Water and Atmospheric Research, Auckland, New Zealand
bClimate Change Research Centre and ARC Centre of Excellence for Climate Extremes, University of New South Wales Sydney, Sydney, New South Wales, Australia

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https://orcid.org/0000-0001-9801-9348
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Sanaa Hobeichi bClimate Change Research Centre and ARC Centre of Excellence for Climate Extremes, University of New South Wales Sydney, Sydney, New South Wales, Australia
cUNSW AI Institute and Data Science Hub, University of New South Wales Sydney, Sydney, New South Wales, Australia

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Peter B. Gibson dNational Institute of Water and Atmospheric Research, Wellington, New Zealand

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Jorge Baño-Medina eInstituto de Física de Cantabria, CSIC–Universidad de Cantabria, Santander, Spain
fCenter for Western Weather and Water Extremes, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California

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Gab Abramowitz bClimate Change Research Centre and ARC Centre of Excellence for Climate Extremes, University of New South Wales Sydney, Sydney, New South Wales, Australia

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Tom Beucler gFaculty of Geosciences and Environment, University of Lausanne, Lausanne, Vaud, Switzerland
hExpertise Center for Climate Extremes, University of Lausanne, Lausanne, Vaud, Switzerland

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Jose González-Abad eInstituto de Física de Cantabria, CSIC–Universidad de Cantabria, Santander, Spain

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William Chapman iNational Center for Atmospheric Research, Boulder, Colorado

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