A long-term 0.01 degrees surface air temperature dataset of Tibetan Plateau

The surface air temperature (T-a) dataset of the Tibetan Plateau is obtained by downscaling the China regional surface meteorological feature dataset (CRSMFD). It contains the daily mean T-a and 3-hourly instantaneous T-a. This dataset has a spatial resolution of 0.01 degrees. Its time range for surface air temperature dataset is from 2000 to 2015. Spatial dimension of data: 73 degrees E-106 degrees E, 40 degrees N-23 degrees N. The T-a with a 0.01 degrees can serve as an important input for the modeling of land surface processes, such as surface evapotranspiration estimation, agricultural monitoring, and climate change analysis. (C) 2018 The Authors. Published by Elsevier Inc.