Preprints
https://doi.org/10.5194/essd-2021-1
https://doi.org/10.5194/essd-2021-1

  08 Feb 2021

08 Feb 2021

Review status: a revised version of this preprint is currently under review for the journal ESSD.

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

Lin Zhao1,2, Defu Zou2, Guojie Hu2, Tonghua Wu2, Erji Du2, Guangyue Liu2, Yao Xiao2, Ren Li2, Qiangqiang Pang2, Yongping Qiao2, Xiaodong Wu2, Zhe Sun2, Zanpin Xing2, Yu Sheng3, Yonghua Zhao2, Jianzong Shi2, Changwei Xie2, Lingxiao Wang1, Chong Wang1, and Guodong Cheng2 Lin Zhao et al.
  • 1School of Geographical Sciences, Nanjing University of Information Science & Technology, Nanjing 210044, China
  • 2Cryosphere Research Station on Qinghai-Xizang Plateau, State Key Laboratory of Cryospheric Sciences, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
  • 3State Key Laboratory of Frozen Soil Engineering, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China

Abstract. 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).

Lin Zhao et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2021-1', Anonymous Referee #1, 26 Feb 2021
    • AC1: 'Reply on RC1', Lin Zhao, 27 Feb 2021
      • EC1: 'Reply on AC1', Tao Che, 27 Feb 2021
        • AC2: 'Reply on EC1', Lin Zhao, 01 Mar 2021
    • EC2: 'Reply on RC1', Tao Che, 01 Mar 2021
      • RC3: 'table', Anonymous Referee #1, 08 Mar 2021
  • RC2: 'Comment on essd-2021-1', Georg Miehe, 08 Mar 2021
    • AC3: 'Reply on RC2', Lin Zhao, 09 Mar 2021
  • EC3: 'Comment on essd-2021-1', Tao Che, 26 Mar 2021
  • RC4: 'Comment on essd-2021-1', Anonymous Referee #3, 30 Mar 2021

Lin Zhao et al.

Data sets

A synthesis dataset of permafrost for the Qinghai-Xizang (Tibet) Plateau, China (2002-2018) Lin Zhao, Guojie Hu, Defu Zou, Tonghua Wu, Erji Du, Guangyue Liu, Yao Xiao, Ren Li, Qiangqiang Pang, Yongping Qiao, Xiaodong Wu, Zhe Sun, Zangping Xing, Yu Sheng, Yonghua Zhao, Jianzong Shi, Changwei Xie, Lingxiao Wang, Chong Wang, and Guodong Cheng https://doi.org/10.11888/Geocry.tpdc.271107

Lin Zhao et al.

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Short summary
Lack of synthesis dataset of the permafrost state have greatly limited our understanding of permafrost related research and the calibration and validation of RS retrievals and model simulation. We compiled this dataset, including ground temperature, hydro-thermal regimes of active layer and the meteorological indexes based our observational network, and summarized the basic changes of permafrost and its climatic conditions. It is the first comprehensive dataset on permafrost of the QXP till now.