Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning

HIGHLIGHTS

  • who: Jordi Bolibar from the CNRS des Géosciences de l'Environnement, Grenoble, France, INRAE, UR RiverLy, Lyon-Villeurbanne, France. Utrecht University have published the article: Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning, in the Journal: NATURE COMMUNICATIONS NATURE COMMUNICATIONS
  • what: The main reason for their success comes from their suitability to large-scale studies with a low density of observations, in some cases displaying an even better performance than more complex models12. The authors investigate the future evolution of glaciers in the French Alps and their nonlinear . . .

     

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