A Dissection of the Inter-Model Spread of the Aerosol Direct Radiative Effect in CMIP6 Models
Description
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.
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Funding
Natural Sciences and Engineering Research Council of Canada
RGPIN-2019-04511