An observational network of ground surface temperature under different land-cover types on the northeastern Qinghai–Tibet Plateau Article Swipe
Raul‐David Șerban
,
Huijun Jin
,
Mihaela Șerban
,
Giacomo Bertoldi
,
Dongliang Luo
,
Qingfeng Wang
,
Qiang Ma
,
Ruixia He
,
Xiaoying Jin
,
Xinze Li
,
Jianjun Tang
,
Hongwei Wang
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/essd-16-1425-2024
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/essd-16-1425-2024
Ground surface temperature (GST), measured at approximately 5 cm in depth, is a key controlling parameter for subsurface biophysical processes at the land–atmosphere boundary. This work presents a valuable dataset of GST observations at various spatial scales in the Headwater Area of the Yellow River (HAYR), a representative area of high-plateau permafrost on the northeastern Qinghai–Tibet Plateau (QTP). GST was measured every 3 h using 72 iButton temperature loggers (DS1922L) at 39 sites from 2019 to 2020. At each site, GST was recorded in two plots at distances from 2 to 16 m under similar and different land-cover conditions (steppe, meadow, swamp meadow, and bare ground). These sensors proved their reliability in harsh environments because there were only 165 biased measurements from a total of 210 816. A high significant correlation (>0.96, p<0.001) was observed between plots, with a mean absolute error (MAE) of 0.2 to 1.2 °C. The daily intra-plot differences in GST were mainly 2 °C when GST of bare ground was compared to that of sites with vegetation. From autumn to spring, the differences in GST could increase to 4–5 °C for up to 15 d. The values of the frost number (FN) were quite similar between the plots with differences in FN <0.05 for most of the sites. This dataset complements the sparse observations of GST on the QTP and helps to identify the permafrost distribution and degradation at high resolution as well as to validate and calibrate the permafrost distribution models. The datasets are openly available in the National Tibetan Plateau/Third Pole Environment Data Center (https://doi.org/10.11888/Cryos.tpdc.272945, Şerban and Jin, 2022).
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5194/essd-16-1425-2024
- OA Status
- gold
- Cited By
- 3
- References
- 75
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392850095
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392850095Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.5194/essd-16-1425-2024Digital Object Identifier
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An observational network of ground surface temperature under different land-cover types on the northeastern Qinghai–Tibet PlateauWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-15Full publication date if available
- Authors
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Raul‐David Șerban, Huijun Jin, Mihaela Șerban, Giacomo Bertoldi, Dongliang Luo, Qingfeng Wang, Qiang Ma, Ruixia He, Xiaoying Jin, Xinze Li, Jianjun Tang, Hongwei WangList of authors in order
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https://doi.org/10.5194/essd-16-1425-2024Publisher landing page
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goldOpen access status per OpenAlex
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https://doi.org/10.5194/essd-16-1425-2024Direct OA link when available
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Plateau (mathematics), Geology, Cover (algebra), Land cover, Climatology, Physical geography, Environmental science, Land use, Geography, Mathematical analysis, Engineering, Civil engineering, Mechanical engineering, MathematicsTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 2, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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