A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China
Permafrost has great influences on the climatic, hydrological, and ecological systems on the Qinghai–Tibet Plateau (QTP). The changing permafrost and its impact have been attracting great attention worldwide like never before. More observational and modeling approaches are needed to promote an under...
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ftcopernicus:oai:publications.copernicus.org:essd92139 2023-05-15T17:55:49+02:00 A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China 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 2021-08-26 application/pdf https://doi.org/10.5194/essd-13-4207-2021 https://essd.copernicus.org/articles/13/4207/2021/ eng eng doi:10.5194/essd-13-4207-2021 https://essd.copernicus.org/articles/13/4207/2021/ eISSN: 1866-3516 Text 2021 ftcopernicus https://doi.org/10.5194/essd-13-4207-2021 2021-08-30T16:22:16Z Permafrost has great influences on the climatic, hydrological, and ecological systems on the Qinghai–Tibet Plateau (QTP). The changing permafrost and its impact have been attracting great attention worldwide like never before. More observational and modeling approaches are needed to promote an understanding of permafrost thermal state and climatic conditions on the QTP. However, limited data on the permafrost thermal state and climate background have been sporadically reported in different pieces of literature due to the difficulties of accessing and working in this region where the weather is severe, environmental conditions are harsh, and the topographic and morphological features are complex. From the 1990s, we began to establish a permafrost monitoring network on the QTP. Meteorological variables were measured by automatic meteorological systems. The soil temperature and moisture data were collected from an integrated observation system in the active layer. Deep ground temperature (GT) was observed from boreholes. In this study, a comprehensive dataset consisting of long-term meteorological, GT, soil moisture, and soil temperature data was compiled after quality control from an integrated, distributed, and multiscale observation network in the permafrost regions of QTP. The dataset is helpful for scientists with multiple study fields (i.e., climate, cryospheric, ecology and hydrology, meteorology science), which will significantly promote the verification, development, and improvement of hydrological models, land surface process models, and climate models on the QTP. 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/ , last access: 24 August 2021, https://doi.org/10.11888/Geocry.tpdc.271107 , Lin et al., 2021). Text permafrost Copernicus Publications: E-Journals Earth System Science Data 13 8 4207 4218 |
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Copernicus Publications: E-Journals |
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English |
description |
Permafrost has great influences on the climatic, hydrological, and ecological systems on the Qinghai–Tibet Plateau (QTP). The changing permafrost and its impact have been attracting great attention worldwide like never before. More observational and modeling approaches are needed to promote an understanding of permafrost thermal state and climatic conditions on the QTP. However, limited data on the permafrost thermal state and climate background have been sporadically reported in different pieces of literature due to the difficulties of accessing and working in this region where the weather is severe, environmental conditions are harsh, and the topographic and morphological features are complex. From the 1990s, we began to establish a permafrost monitoring network on the QTP. Meteorological variables were measured by automatic meteorological systems. The soil temperature and moisture data were collected from an integrated observation system in the active layer. Deep ground temperature (GT) was observed from boreholes. In this study, a comprehensive dataset consisting of long-term meteorological, GT, soil moisture, and soil temperature data was compiled after quality control from an integrated, distributed, and multiscale observation network in the permafrost regions of QTP. The dataset is helpful for scientists with multiple study fields (i.e., climate, cryospheric, ecology and hydrology, meteorology science), which will significantly promote the verification, development, and improvement of hydrological models, land surface process models, and climate models on the QTP. 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/ , last access: 24 August 2021, https://doi.org/10.11888/Geocry.tpdc.271107 , Lin et al., 2021). |
format |
Text |
author |
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 |
spellingShingle |
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 A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China |
author_facet |
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 |
author_sort |
Zhao, Lin |
title |
A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China |
title_short |
A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China |
title_full |
A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China |
title_fullStr |
A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China |
title_full_unstemmed |
A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China |
title_sort |
synthesis dataset of permafrost thermal state for the qinghai–tibet (xizang) plateau, china |
publishDate |
2021 |
url |
https://doi.org/10.5194/essd-13-4207-2021 https://essd.copernicus.org/articles/13/4207/2021/ |
genre |
permafrost |
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permafrost |
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eISSN: 1866-3516 |
op_relation |
doi:10.5194/essd-13-4207-2021 https://essd.copernicus.org/articles/13/4207/2021/ |
op_doi |
https://doi.org/10.5194/essd-13-4207-2021 |
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Earth System Science Data |
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4207 |
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4218 |
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1766163827234177024 |