Supporting program for “Synoptic Moisture Intrusion Provided Heavy Isotope Precipitations in Inland Antarctica during the Last Glacial Maximum”

Scripts and Data Summary

• This package includes the source codes for analyses used in Kino et al. (2024, GRL) https://doi.org/10.1029/2024GL108191
• Data (in gtool and csv formats) are available in Kino et al. (2024, Zenodo)
• The python environment has been build by using this package.

Jupyter Notebooks

• Ant_proxy_model_comparison.ipynb
  • Figures 1i–j and S4.
• Ant_zonalmean.ipynb
  • Figure S5.
• Calc_Eady_growth_rate.ipynb
  • Calculation for Figure S7 based on ESMValTool (Righi et al., 2020, GMD).
• Filtering_3D.ipynb
  • Calculation for the analysis described in Section 2.4 based on Newman et al. (2012, JC).
• global_model-data_comparison_LGM_G.ipynb
  • Figure S2.
• global_model-data_comparison_LGM_M.ipynb
  • Figure S3.
• global_seasurface_LGM-PI.ipynb
  • Figure S1.
• Spatial_maps.ipynb
  • Figures 1a–h, S6–S13.

Miscellaneous

Additional Data

• grlndfglac1d.t42: Symbolic link to the LGM topography file.
• Antarctica_LGM_Proxies.csv: Ice core data described in Section 2.3. (Available from Kino et al. (2024, Zenodo))
• model_outputs: Directory for model data (Contents are available from Kino et al. (2024, Zenodo))
• IceCores_LGM_PI.csv: Symbolic link to the global ice core data described in Section 2.3. (Original data is available from https://www.ncdc.noaa.gov/data-access/paleoclimatology-data and described by Cauquoin et al. (2019, EPSL))
• SISALv2_d18O_LGM_PI.csv: Symbolic link to the global speleothem data described in Section 2.3. (Original data is available from Comas-Bru et al. (2020, URRDA).
• The Sea surface temperature and sea ice concentration data of GLOMAP is available at Paul et al. (2020, PANGAEA).
• The Sea surface temperature and sea ice concentration outputs from MIROC4m-AOGCM are available from the authors of Sherriff-Tadano et al. (2023,CP).

Scripts and Utilities

• zenodo_upload.sh: Symbolic link to a script provided by https://github.com/jhpoelen/zenodo-upload
• execute_upload.py: Python script to execute zenodo_upload.sh.
• get_path.py: Python script to locate necessary files for executing the Jupyter notebooks.
• file_paths.txt: Output file from get_path.py.

How to cite

Kino, K., Cauquoin, A., Okazaki, A., Taikan, O., & Yoshimura, K. (2024). Supporting program for “Synoptic Moisture Intrusion Provided Heavy Isotope Precipitations in Inland Antarctica during the Last Glacial Maximum” (Version 1.0). [Software] https://github.com/kanonundgigue/kino2024grl