Estimating Surface Temperature Change Over Tibetan Plateau Using Satellite Land Surface Temperature and Top of the Atmosphere Radiation

In this poster, we presented a framework to estimate the surface air temperature of the Tibetan Plateau using machine learning model, i.e., Cubist regression, and satellite data derived land surface temperature together with radiation products. The data produced by this framework provide unique opportunity to better understand the surface warming over the Tibetan Plateau. This poster was presented at the Earth Science Information Partners (ESIP) Summer Meeting in January 2019.