This data is the simulated data of glacier distribution in the alpine region of Asia since the last glacial maximum, It includes the annual resolution glacier area change sequence of typical regions (High mountain Asia, Tianshan Mountains, Himalayas and Pamir Plateau) and typical periods (LGM (20000 ~ 19000ka), HS1 (17000 ~ 16000ka), BA (~ 14900 ~ 14350ka), yd (12900 ~ 12000ka), eh (9500 ~ 8500ka), MH (6500 ~ 5500ka), LH (3500 ~ 2500ka) and modern (1951 ~ 1990)) 1 km resolution glacier distribution in High Mountain Asia. This data are created by taking the trace full forcing simulation based on ccsm3 climate model as the external forcing field to drive the 1 km resolution PISM ice sheet model. This data can be used to study the changes of glacier distribution in the alpine region of Asia since the last glacial maximum and its impact on environmental and climatic factors such as lake water level, runoff and landform.

File naming and required software

The glacier area data is stored in Excel format, in which the time yyyyy represents years ago (relative to 1950)
Glacier distribution is stored in NetCDF file, which can be opened, viewed and analyzed by CDO or NCL professional meteorological data processing or mapping software.

Data Citations Data citation guideline What's data citation?

Cite as:

Yan, Q. (2021). Glacier distribution over the High-mountain Asia since the last glacial maximum. A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.271928. CSTR: 18406.11.Cryos.tpdc.271928. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Yan, Q., Owen, L. A., Zhang, Z., Jiang, N., & Zhang, R. (2020). Deciphering the evolution and forcing mechanisms of glaciation over the Himalayan-Tibetan orogen during the past 20,000 years. Earth and Planetary Science Letters, 541, 116295.( View Details | Bibtex)

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Second Tibetan Plateau Scientific Expedition Program

Copyright & License

To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)