ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis

The ACCESS-AM2 (Australian Community Climate and Earth-System Simulator - Atmospheric Model Version 2) and SHAP analysis code and data used for the study described in Fiddes et al. (2023) 'A machine learning approach for evaluating Southern Ocean cloud-radiative biases over the Southern Ocean in a global atmosphere model' submitted to GMD

Included files: 

- code.zip, inc: 

          - pre-process_modis.ipynb: process the modis data, described in Fiddes et al. 2022 (https://doi.org/10.5194/acp-22-14603-2022)
          - pre-process.ipynb: organises model and modis data for analysis. Produces the files: COSP_vars_MODIS_2015-2019.nc, COSP_vars_cg207_2015-2019.nc and COSP_vars_bx400_2015-2019.nc
          - run_XGBoost+SHAP_control.ipynb: run the XGBoost model and SHAP analysis for the control run (bx400). Produces the files: SHAP_values_SWCRE_2015-2019_bx4002.nc, XGBoost_predicted_SWCRE_2015-2019_bx4002.nc
          - run_XGBoost+SHAP_ice.ipynb: run the XGBoost model and SHAP analysis for the ice experiment run (cg207). Produces the files: SHAP_values_SWCRE_2015-2019_cg2072.nc, XGBoost_predicted_SWCRE_2015-2019_cg2072.nc
          - analysis+plots_ML.ipynb: all plots and stats presented in paper 

- COSP_vars_MODIS_2015-2019.nc

- COSP_vars_cg207_2015-2019.nc

- COSP_vars_bx400_2015-2019.nc

- SHAP_values_SWCRE_2015-2019_bx4002.nc

- SHAP_values_SWCRE_2015-2019_cg2072.nc

- XGBoost_predicted_SWCRE_2015-2019_cg2072.nc

- XGBoost_predicted_SWCRE_2015-2019_bx4002.nc

The cloud types used in this work can be found at https://doi.org/10.5281/zenodo.6004061