Available data and code for the "Tropical mountain ice core ????18O: A Goldilocks indicator for global temperature change" (Liu et al., 2023)

• Main Authors: Yuntao Bao, Zhengyu Liu, Clay Tabor
• Format: Article in Journal/Newspaper
• Language: English
• Published: Zenodo 2023
• Subjects: journal publication; data; code; ice core
• Online Access: https://doi.org/10.5281/zenodo.8171476

These arethe shareddata and code for the journalpublication of the "Tropical mountain ice core ????18O: A Goldilocks indicator for global temperature change" published by Science Advance. The paper can be found at https://www.science.org/doi/full/10.1126/sciadv.adi6725. Theavailable code includes Python code for Fig. 2&3 (named "Fig*-code.py") in the main text of the "Tropical mountain ice core ????18O: A Goldilocks indicator for global temperature change". The available data includes original data for Fig.1-Fig.5 (named "Data_Fig*") and post-processed data for analysis in the manuscript "Tropical mountain ice core ????18O: A Goldilocks indicator for global temperature change". The post-processed data includes iTRACE model data, HighRes model data, TES&IASI satellite data, PMIP3&4 data, and GNIP observation data. We thank author Clay Tabor for providing HighRes model simulation data. Contact information: Author Yuntao Bao is responsible for data processing, analysis, calculation, and visualization. Any questions regarding data analysis and coding, please contact Yuntao Bao through [e-mail]