TY  - Data
T1  - Distribution map of temperature and thermal stability of multi-year frozen land in Qinghai Tibet Plateau
A1  - Ran youhua
DO  - 10.11888/Geogra.tpdc.270672
PY  - 2022
DA  - 2022-01-05
PB  - National Cryosphere Desert Data Center
AB  - High quality permafrost map is the basic data for the study of Permafrost Environmental Effects and engineering application in cold regions. Based on the systematic compilation of the annual average ground temperature measurement data of 237 borehole locations in the Qinghai Tibet Plateau from 2005 to 2015, the data set integrates these ground observation and remote sensing freezing index, melting index, snow days, leaf area index, soil bulk density, elevation and high-quality soil moisture reanalysis data by using support vector regression model, The annual average ground temperature distribution map of Qinghai Tibet Plateau with 1km resolution from 2005 to 2015 is simulated. 10 fold cross validation shows that the root mean square error of the simulated annual average ground temperature is about 0.75 ° C and the deviation is about 0.01 ° C. Based on the stability classification system of high altitude permafrost, the thermal stability types of permafrost are divided by using the annual average ground temperature. The data show that the permafrost area of the Qinghai Tibet Plateau is about 115.02 (105.47-129.59) × 104km ²,  Among them, the permafrost areas of extremely stable type (< - 5.0 ° C), stable type (- 3.0 ~ - 5.0 ° C), metastable type (- 1.5 ~ - 3.0 ° C), transition type (- 0.5 ~ - 1.5 ° C) and unstable type (> - 0.5 ° C) are 0.86 respectively × 104km ²,  nine point six two × 104km ²,  thirty-eight point four five × 104km ²,  forty-two point two nine × 104km ² And 23.80 × 104km ²。 The data set can be used for the planning, design, ecological planning and management of projects in cold regions, and can be used as a data benchmark for the current situation of permafrost to evaluate the changes of permafrost in the Qinghai Tibet Plateau in the future. For more detailed methods of this data, please refer to the paper of Chinese Science: geoscience (ran et al., 2021).
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/a4d51ab3-9f38-43b6-bcad-da45b4cc5ee5
ER  -