A synthesis dataset of permafrost thermal state for the Qinghai-Xizang (Tibet) Plateau, China

• Main Authors: Zhao, Lin, Zou, Defu, Hu, Guojie, Wu, Tonghua, Du, Erji, Liu, Guangyue, Xiao, Yao, Li, Ren, Pang, Qiangqiang, Qiao, Yongping, Wu, Xiaodong, Sun, Zhe, Xing, Zanpin, Sheng, Yu, Zhao, Yonghua, Shi, Jianzong, Xie, Changwei, Wang, Lingxiao, Wang, Chong, Cheng, Guodong
• Format: Text
• Language: English
• Published: 2021
• Subjects: permafrost
• Online Access: https://doi.org/10.5194/essd-2021-1; https://essd.copernicus.org/preprints/essd-2021-1/

Permafrost is important for the climatic, hydrological, and ecological processes on the Qinghai-Xizang Plateau (QXP). The changing permafrost and its impact have been attracting great attention worldwide never before, and more observational and modeling approaches are need to promote an understanding of permafrost thermal state and climatic conditions on the QXP. However, there were almost no synthesis dataset on the permafrost thermal state and climate background on the QXP, but were sporadically reported in different literatures due to the difficulties to access to and work in this region, where the weather is severe, and environmental conditions are harsh and the topographic and morphological features are complex. In this study, a comprehensive dataset under quality controlled consisting of long-term meteorological, ground temperature, soil moisture and soil temperature data were compiled from an integrated, distributed and multiscale observation network in the permafrost regions of the Cryosphere Research Station on the QXP. Meteorological data were observation by automatic meteorological stations from a comprehensive observation network. The soil temperature and moisture data were collected from an integrated observation system in the active layer. Deep ground temperature was observed from boreholes. These datasets were helpfur for the scientists with multiple study fields (i.e., climate, cryospheric, ecology and hydrology, meteorology science), which will greatly promote the verification, development and improvement of the hydrological model, land surface process model and climate model on the QXP. The datasets are available from the National Tibetan Plateau/Third Pole Environment Data Center ( https://data.tpdc.ac.cn/en/disallow/789e838e-16ac-4539-bb7e-906217305a1d/ , https://doi.org/10.11888/Geocry.tpdc.271107 ).