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 dataused for thestudy described in Fiddes et al. (2023) ' A machine learning approach for evaluating Southern Ocean cloud-radiative biases over the Southern Ocean in...
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ftzenodo:oai:zenodo.org:7196622 2024-09-15T17:42:19+00:00 ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis Sonya Fiddes 2023-07-13 https://doi.org/10.5281/zenodo.7196622 eng eng Zenodo https://doi.org/10.5281/zenodo.7196621 https://doi.org/10.5281/zenodo.7196622 oai:zenodo.org:7196622 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Southern Ocean ACCESS-AM2 SHAP cloud-radiation biases info:eu-repo/semantics/other 2023 ftzenodo https://doi.org/10.5281/zenodo.719662210.5281/zenodo.7196621 2024-07-26T07:03:28Z The ACCESS-AM2(Australian Community Climate and Earth-System Simulator - Atmospheric Model Version 2) and SHAP analysis code and dataused for thestudy 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 typesused in this work can be found athttps://doi.org/10.5281/zenodo.6004061 This project was funded by the Australian Government as part of the Antarctic Science Collaboration Initiative program, under the Australian Antarctic Program Partnership, ASCI000002. Other/Unknown Material Antarc* Antarctic Australian Antarctic Program Southern Ocean Zenodo |
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Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
Southern Ocean ACCESS-AM2 SHAP cloud-radiation biases |
spellingShingle |
Southern Ocean ACCESS-AM2 SHAP cloud-radiation biases Sonya Fiddes ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis |
topic_facet |
Southern Ocean ACCESS-AM2 SHAP cloud-radiation biases |
description |
The ACCESS-AM2(Australian Community Climate and Earth-System Simulator - Atmospheric Model Version 2) and SHAP analysis code and dataused for thestudy 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 typesused in this work can be found athttps://doi.org/10.5281/zenodo.6004061 This project was funded by the Australian Government as part of the Antarctic Science Collaboration Initiative program, under the Australian Antarctic Program Partnership, ASCI000002. |
format |
Other/Unknown Material |
author |
Sonya Fiddes |
author_facet |
Sonya Fiddes |
author_sort |
Sonya Fiddes |
title |
ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis |
title_short |
ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis |
title_full |
ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis |
title_fullStr |
ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis |
title_full_unstemmed |
ACCESS-AM2 Southern Ocean cloud and radiation data and code for SHAP analysis |
title_sort |
access-am2 southern ocean cloud and radiation data and code for shap analysis |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://doi.org/10.5281/zenodo.7196622 |
genre |
Antarc* Antarctic Australian Antarctic Program Southern Ocean |
genre_facet |
Antarc* Antarctic Australian Antarctic Program Southern Ocean |
op_relation |
https://doi.org/10.5281/zenodo.7196621 https://doi.org/10.5281/zenodo.7196622 oai:zenodo.org:7196622 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.719662210.5281/zenodo.7196621 |
_version_ |
1810488831985582080 |