The file is stored in GeoTIFF format. The relevant parameters are as follows:
scale_factor = 0.01f; // float
add_offset = 273.15f; // float
FillValue = -32767S; // short
missing_value = -32767S; // short
units = "K";
The file is named by time, and the time is in hours (1900-01-01 00: 00: 0.0 "is 0, for example, 876576.tif is the instantaneous air temperature at 1:00 on January 1, 2000).
DING Lirong, ZHOU Ji, WANG Wei. Dataset of 0.01° Surface Air Temperature over Tibetan Plateau (1979-2018). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Meteoro.tpdc.270339. (Download the reference： RIS | Bibtex )Related Literatures:
2. Chen, Y., Yang, K., He, J., Qin, J., Shi, J., Du, J., & He, Q. (2011). Improving land surface temperature modeling for dry land of China. Journal of Geophysical Research: Atmospheres, 116(D20).( View Details | Bibtex)
3. Ding, L., Zhou, J., Zhang, X., Liu, S., & Cao, R. (2018). Downscaling of surface air temperature over the Tibetan Plateau based on DEM. International Journal of Applied Earth Observation and Geoinformation, 73, 136-147.( View Details | Bibtex)
4. Yang, K., He, J., Tang, W., Qin, J., & Cheng, C. C. (2010). On downward shortwave and longwave radiations over high altitude regions: Observation and modeling in the Tibetan Plateau. Agricultural and Forest Meteorology, 150(1), 38-46.( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Estimation of surface evapotranspiration over the source regions of rivers in Southwest China based on multi-source remote sensing data and spatial-temporal fusion (No:91647104)
A method to estimate all-weather LST based on the integration of multi-source remote sensing observations (No:41871241)
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Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).
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|East: 106.00||West: 73.00|
|South: 23.00||North: 40.00|
Distributor: National Tibetan Plateau Data Center