Time series modeling and analysis of all-weather land surface temperature on the qing-tibet plateau

Time series analysis of land surface temperature (LST) is one of the most important topics in climate change-related research. As the third pole of the Earth and the water tower of Asia, the temperature change of the Qinghai-Tibet Plateau will inevitably affect the rapid response of the surrounding environment. Currently, many studies analyzed the spatio-temporal variation of LST in this area. However, due to cloudy weather conditions, the time series of the clear-sky LST may introduce large errors in their conclusions. Therefore, in this study, a newly released spatiotemporal seamless satellite all-weather LST product (TRIMS LST), as well as MODIS LST (MYD21), is employed to model and analyze the LST time series under all-weather conditions on the Qing-Tibet Plateau. Results show that the tendency of LST variation from clear-sky LST is weaker than that from all-weather LST. The all-weather LST indicates a warming trend on the Qing-Tibet Plateau.