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The Qinghai Tibet Plateau is known as "the third pole of the Earth". The long-term and large-scale observation data of permafrost is of great significance to understand the changes and effects of Permafrost on the Qinghai-Xizang Plateau (QXP). Especially in such a cold and anoxic area, the extreme shortage of data resources greatly limits the development, improvement and validation of various remote sensing inversion algorithms, as well as the earth system simulation and scientific research of the QXP. In the past few decades, our research team has established a synthesis network in the permafrost region of the QXP. For the first time, the database systematically integrates the long-time series observation data of 6 automatic meteorological stations, 12 active layer sites and 84 boreholes. In the process of data collection and processing, all observation data have been strictly controlled. The data set will be released to scientists with multi-disciplinary backgrounds (e.g., cryosphere, hydrology, ecology and meteorology), which will greatly promote the validation, development and improvement of hydrological model, land surface process model and climate model of the QXP.

File naming and required software

File naming: the data of automatic weather station, soil moisture and temperature of active layer and borehole temperature are stored in Excel format, and the file names are “Meteorological dataset.xlsx”, "Active layer of ground temperature.xlsx", "Active layer of soil moisture.xlsx" and“Ground temperature dataset.xlsx”.
Data reading mode: all the table files in the data set can be opened with EXCEL program, and the main contents are site, date and observation element values of different depths.

Data Citations Data citation guideline What's data citation?

Zhao, L., Zou, D., Wu, T., Du, E., Liu, G., Xiao, Y., Li, R., Pang, Q., Qiao, Y., Wu, X., Sun, Z., Xing, Z., Zhao, Y., Shi, J., Xie, C., Wang, L., Wang, C., Cheng, G. (2021). A synthesis dataset of permafrost for the Qinghai-Xizang (Tibet) Plateau, China (2002-2018). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Geocry.tpdc.271107. CSTR: 18406.11.Geocry.tpdc.271107. (Download the reference： RIS | Bibtex )

1. Zhao, L., Zou, D.F., Hu, G.J., Wu, T.H., Du, E.J., Liu, G.Y., Xiao, Y., Li, R., Pang, Q.Q., Qiao, Y.P., Wu, X.D., Sun, Z., Xing, Z.P., Sheng, Y., Zhao, Y.H., Shi, J.Z., Xie, C.W., Wang, L.X., Wang, C., & Cheng, G.D. (2021). A synthesis dataset of permafrost thermal state for the Qinghai-Xizang (Tibet) Plateau, China. Earth Syst. Sci. Data. 13, 4207–4218. doi: 10.5194/essd-13-4207-2021.( View Details | Bibtex)

2. Zhao, L., Zou, D., & Hu, G., et al. (2020). Changing climate and the permafrost environment on the Qinghai–Tibet (Xizang) plateau. Permafrost and Periglac Process. 31, 396–405. https://doi.org/10.1002/ppp.2056( View Details | Download | Bibtex)

3. Zhao, L., Wu, T.H., Xie, C.W., Li, R., Wu, X.D., Yao, J.M., Yue, G.Y., Xiao, Y., (2017). Support Geoscience Research, Environmental Management, and Engineering Construction with Investigation and Monitoring on Permafrost in the Qinghai-Tibet Plateau, China. CAS Field Station, 32(10), 1159-1168.( 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

National Natural Science Foundation of China(41931180) (No:41931180)

Changes and impacts of glaciers, snow cover and permafrost and how to deal with them (No:2019QZKK0201)

National Natural Science Foundation of China(42071094) (No:42071094)

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)

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