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Decompose historical changes in regional precipitation extremes into thermodynamic and dynamic components, and perform detection and attribution analyses

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huangzq681/Rx1day_decompose_DNA_2022

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Python code that supports the manuscript "Thermodynamically enhanced precipitation extremes due to counterbalancing influences of anthropogenic greenhouse gases and aerosols"

by Zeqin Huang, Xuezhi Tan*, Thian Yew Gan, Bingjun Liu*, Xiaohong Chen

Code for the robust physical scaling diagnostic is adapted from https://github.com/oliverangelil/precip_extremes_scaling.

Datasets used

  • Detection and Attribution Model Intercomparison (DAMIP) dataset from CMIP6
  • ERA5 from European Centre for Medium-Range Weather Forecasts (ECMWF)
  • HadEX3 available at Met Office Hadley Centre

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Decompose historical changes in regional precipitation extremes into thermodynamic and dynamic components, and perform detection and attribution analyses

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