Regional climate model emulator based on deep learning: concept and first evaluation of a novel hybrid downscaling approach

HIGHLIGHTS

• who: Antoine Doury from the CNRM, Universitu00e9 de Toulouse, Mu00e9tu00e9o-France, CNRS, Toulouse, France have published the research: Regional climate model emulator based on deep learning: concept and first evaluation of a novel hybrid downscaling approach, in the Journal: (JOURNAL)
• what: The authors propose a novel hybrid downscaling method combining the strengths of both empirical statistical downscaling methods and Regional Climate Models (RCMs). Those pioneer studies, the authors propose here to further develop this approach by using a neural_network based method and by emulating the full time series at the input time scale, allowing to . . .
  

   

  

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