Temperature data of six glaciers in high altitude area of Qinghai Tibet Plateau (2019)

Temperature data of six glaciers in high altitude area of Qinghai Tibet Plateau (2019)

Near-surface air temperature variability and the reliability of temperature extrapolation within glacierized regions are important issues for hydrological and glaciological studies that remain elusive because of the scarcity of high-elevation observations. Based on air temperature data in 2019 collected from 12 automatic weather stations, 43 temperature loggers and 6 national meteorological stations in six different catchments, this study presents air temperature variability in different glacierized/nonglacierized regions and assesses the robustness of different temperature extrapolations to reduce errors in melt estimation. The results show high spatial variability in temperature lapse rates (LRs) in different climatic contexts, with the steepest LRs located on the cold-dry northwestern Tibetan Plateau and the lowest LRs located on the warm-humid monsoonal-influenced southeastern Tibetan Plateau. Near-surface air temperatures in high-elevation glacierized regions of the western and central Tibetan Plateau are less influenced by katabatic winds and thus can be linearly extrapolated from off-glacier records. In contrast, the local katabatic winds prevailing on the temperate glaciers of the southeastern Tibetan Plateau exert pronounced cooling effects on the ambient air temperature, and thus, on-glacier air temperatures are significantly lower than that in elevation-equivalent nonglacierized regions. Consequently, linear temperature extrapolation from low-elevation nonglacierized stations may lead to as much as 40% overestimation of positive degree days, particularly with respect to large glaciers with a long flowline distances and significant cooling effects. These findings provide noteworthy evidence that the different LRs and relevant cooling effects on high-elevation glaciers under distinct climatic regimes should be carefully accounted for when estimating glacier melting on the Tibetan Plateau.

File naming and required software

The data file is in Excel format. There are six tables named glacier name. Each table contains the code, latitude and longitude, altitude of the meteorological station and temperature probe on the glacier, as well as the temperature data from January 1 to October 2019. Palung glacier is one hour temperature data, Dagze is daily temperature data, and the rest is half an hour temperature data.

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Cite as:

Yang, W. (2021). Temperature data of six glaciers in high altitude area of Qinghai Tibet Plateau (2019). National Tibetan Plateau Data Center, DOI: 10.11888/Cryos.tpdc.271916. CSTR: 18406.11.Cryos.tpdc.271916. (Download the reference: RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

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Second Tibetan Plateau Scientific Expedition Program

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License: This work is licensed under an Attribution 4.0 International (CC BY 4.0)

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Geographic coverage
East: 96.96 West: 79.70
South: 29.24 North: 38.11
  • Temporal resolution: Hourly
  • Spatial resolution: --
  • File size: 4 MB
  • Views: 508
  • Downloads: 54
  • Access: Open Access
  • Temporal coverage: 2019-01-01 To 2019-10-31
  • Updated time: 2021-12-27
: YANG Wei  

Distributor: National Tibetan Plateau Data Center

Email: data@itpcas.ac.cn

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