This data set takes the freezing index calculated by the long-time scale (1901-2016) temperature provided by UEA-CRU and UDEL as the input data, calculates the soil freezing depth of Yarlung Zangbo River Basin through Stefan empirical formula, and interpolates the 30-year scale average soil freezing depth data set output by simulation. This data set takes the freezing index calculated by the long-time scale (1901-2016) temperature provided by UEA-CRU and UDEL as the input data, calculates the soil freezing depth of Yarlung Zangbo River Basin through Stefan empirical formula, and interpolates the 30-year scale average soil freezing depth data set output by simulation.

File naming and required software

Uea-CRU is the data of the University of East Anglia and UDEL is the data of the University of Delaware

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Cite as:

Liu, L., Luo, D., Wang, L. (2022). Data set of soil freezing depth in Yarlung Zangbo River (1901-2016). A Big Earth Data Platform for Three Poles, DOI: 10.11888/Cryos.tpdc.272002. CSTR: 18406.11.Cryos.tpdc.272002. (Download the reference： RIS | Bibtex )

Related Literatures:

1. Liu, L., Luo, D.L.,Wang, L., Huang, Y.D., & Chen, F.F. (2020). Variability of soil freeze depth in association with climate change from 1901 to 2016 in the upper Brahmaputra River Basin, Tibetan Plateau, Southwest China. Theoretical and Applied Climatology. 12(1), 6-17, DOI:10.1007/s00704-020-03291-4.( View Details | Bibtex)

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

Support Program

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

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