The machine learning attribution of quasi-decadal precipitation and temperature extremes in southeastern australia during the 1971–2022 period

HIGHLIGHTS

• What: Given that the climate can no longer be regarded as stationary 2 of 17 (as mentioned, e_g,), in this study, the authors focused on the most recent 13-year period, 2010-2022, in which numerous precipitation and temperature extremes occurred in SEAUS.
• Who: Milton Speer and colleagues from the machine learningmachine learningSchool of Mathematical and Physical Sciences, University of Technology Sydney, Broadway have published the Article: The Machine Learning Attribution of Quasi-Decadal Precipitation and Temperature Extremes in Southeastern Australia during the 1971-2022 Period, in the Journal: Climate 2024, 12, x FOR PEER . . .
  

   

  

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