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).
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)Cite the data
Lirong DING, Ji ZHOU. Dataset of 0.01° Surface Air Temperature over Tibetan Plateau (2000-2015). National Tibetan Plateau Data Center, 2020. doi: 10.11888/Meteoro.tpdc.270339. (Download the reference： RIS | Bibtex )
Using this data, you must reference article references listed in the Required Data Citation and reference data
A method to estimate all-weather LST based on the integration of multi-source remote sensing observations (No:41871241)
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)
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License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)
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