Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1257-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/essd-14-1257-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
21 Mar 2022
Data description paper |
| 21 Mar 2022
| 21 Mar 2022
Permafrost, active layer, and meteorological data (2010–2020) at the Mahan Mountain relict permafrost site of northeastern Qinghai–Tibet Plateau
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Southern Marine Science and Engineering Guangdong Laboratory
(Guangzhou), Guangzhou 511458, China
Changwei Xie
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Xiaofan Zhu
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Wu Wang
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Ren Li
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Amin Wen
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Dong Wang
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Peiqing Lou
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Chengpeng Shang
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Yune La
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Xianhua Wei
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Xin Ma
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Yongping Qiao
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Xiaodong Wu
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Qiangqiang Pang
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
Guojie Hu
Cryosphere Research Station on the Qinghai–Tibet Plateau, State Key
Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment
and Resource, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
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windowto detect the subsurface ground ice melting. Results reveal that ground ice meltwater contributed ~ 12 % of the lake volume increase during 2017–2020.
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Lin Zhao, Defu Zou, Guojie Hu, Tonghua Wu, Erji Du, Guangyue Liu, Yao Xiao, Ren Li, Qiangqiang Pang, Yongping Qiao, Xiaodong Wu, Zhe Sun, Zanpin Xing, Yu Sheng, Yonghua Zhao, Jianzong Shi, Changwei Xie, Lingxiao Wang, Chong Wang, and Guodong Cheng
Earth Syst. Sci. Data, 13, 4207–4218, https://doi.org/10.5194/essd-13-4207-2021, https://doi.org/10.5194/essd-13-4207-2021, 2021
Short summary
Short summary
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Dong Wang, Tonghua Wu, Lin Zhao, Cuicui Mu, Ren Li, Xianhua Wei, Guojie Hu, Defu Zou, Xiaofan Zhu, Jie Chen, Junmin Hao, Jie Ni, Xiangfei Li, Wensi Ma, Amin Wen, Chengpeng Shang, Yune La, Xin Ma, and Xiaodong Wu
Earth Syst. Sci. Data, 13, 3453–3465, https://doi.org/10.5194/essd-13-3453-2021, https://doi.org/10.5194/essd-13-3453-2021, 2021
Short summary
Short summary
The Third Pole regions are important components in the global permafrost, and the detailed spatial soil organic carbon data are the scientific basis for environmental protection as well as the development of Earth system models. Based on multiple environmental variables and soil profile data, this study use machine-learning approaches to evaluate the SOC storage and spatial distribution at a depth interval of 0–3 m in the frozen ground area of the Third Pole region.
Xiangfei Li, Tonghua Wu, Xiaodong Wu, Jie Chen, Xiaofan Zhu, Guojie Hu, Ren Li, Yongping Qiao, Cheng Yang, Junming Hao, Jie Ni, and Wensi Ma
Geosci. Model Dev., 14, 1753–1771, https://doi.org/10.5194/gmd-14-1753-2021, https://doi.org/10.5194/gmd-14-1753-2021, 2021
Short summary
Short summary
In this study, an ensemble simulation of 55296 scheme combinations for at a typical permafrost site on the Qinghai–Tibet Plateau (QTP) was conducted. The general performance of the Noah-MP model for snow cover events (SCEs), soil temperature (ST) and soil liquid water content (SLW) was assessed, and the sensitivities of parameterization schemes at different depths were investigated. We show that Noah-MP tends to overestimate SCEs and underestimate ST and topsoil SLW on the QTP.
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Short summary
We presented an 11-year time series of meteorological, active layer, and permafrost data at the Mahan Mountain relict permafrost site in northeastern Qinghai-Tibet Plateau. From 2010 to 2020, the increasing rate of active layer thickness was 1.8 cm-year and the permafrost temperature showed slight changes. The release of those data would be helpful to understand the impacts of climate change on permafrost in relict permafrost regions and to validate the permafrost models and land surface models.
We presented an 11-year time series of meteorological, active layer, and permafrost data at the...
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