A Dissection of the Inter-Model Spread of the Aerosol Direct Radiative Effect in CMIP6 Models

Published: 27 September 2023| Version 1 | DOI: 10.17632/v6k2vh2hfj.1
Qiurun yu


This dataset contains the necessary code and processed data for paper: Yu, Q., & Huang, Y. (2023). A dissection of the inter-model spread of the aerosol direct radiative effect in CMIP6 models. Geophysical Research Letters, 50, e2023GL105112. https://doi. org/10.1029/2023GL105112). The data include the following data: 1) The sensitivity of Aerosol Direct Radiative Effect (ADRE) to key predictors (e.g. scattering aerosol optical depth) trained by regression model based on selected CMIP6 model. 2) The predicted ADRE and its predictor field. This enables readers to build the regression model. 3) The decomposition results from ADRE intermodel spread for selected models. 4) Codes and data to reproduce figures in the paper.



Radiation, Data Analysis, Aerosol, Climate Cycle


Natural Sciences and Engineering Research Council of Canada