A synthesis dataset of permafrost thermal state for the Qinghai–Tibet (Xizang) Plateau, China
2021
Abstract. 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).
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