The Qinghai Tibet Engineering Corridor starts from Golmud in the north and ends at Lhasa in the south. It passes through the core area of the Qinghai Tibet Plateau and is an important channel connecting the mainland and Tibet. Permafrost temperature is not only an important index to study ground thermal state in permafrost regions, but also a key factor to be considered in permafrost engineering construction. The core of GIPL1.0 is the Kudryavtesv method, which considers the thermophysical properties of snow cover, vegetation and different soil layers. However, Yin found that compared with the Kudryavtesv method, the accuracy of TTOP model was higher. Therefore, the model was improved in combination with the freezing/thawing index. Through the verification of field monitoring data, it was found that the simulation error of permafrost temperature was less than 1 ℃. Therefore, the improved GIPL1.0 model is used to simulate the permafrost temperature of the Qinghai Tibet project corridor, and predict the future permafrost temperature under the SSP2-4.5 climate change scenario.

File naming and required software

File name: the permafrost temperature data is stored as grid data, and the file name is "TTOP_ssp45xx. tif", where xx represents 30, 50 or 70, respectively representing the predicted spatial distribution data of permafrost temperature in 2021-2040, 2041-2060 and 2061-2080; "TTOP_1980.tif" represents the permafrost temperature from 1981 to 2000, and "TTOP_2020.tif" represents the permafrost temperature from 2000 to 2018.
Data reading mode: can be opened by Arcgis.

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Cite as:

Niu, F. (2022). Prediction Map of Ground Temperature Distribution in Qinghai Tibet Engineering Corridor (2015-2065). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272794. CSTR: 18406.11.Cryos.tpdc.272794. (Download the reference： RIS | Bibtex )

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Support Program

CASEarth:Big Earth Data for Three Poles（grant No. XDA19070000） (No:XDA19000000)

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