Robust global detection of forced changes in mean and extreme precipitation despite observational disagreement on the magnitude of change

HIGHLIGHTS

  • who: Earth Syst. Dynam. et al. from the Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland and Atmospheric Sciences, Cornell University, Ithaca, NY, USA have published the Article: Robust global detection of forced changes in mean and extreme precipitation despite observational disagreement on the magnitude of change, in the Journal: (JOURNAL)
  • what: The authors show that the signature of forced change is detected in all three observational datasets for global metrics of mean and extreme precipitation. The authors show that regularised linear regression can alleviate some of the difficulties in precipitation D and . . .

     

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