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

Lirong Ding; Ji Zhou; Xiaodong Zhang; Shaomin Liu; Ruyin Cao

doi:10.1016/j.dib.2018.08.107

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

Data Brief. 2018 Aug 29:20:748-752. doi: 10.1016/j.dib.2018.08.107. eCollection 2018 Oct.

Authors

Lirong Ding¹, Ji Zhou¹, Xiaodong Zhang¹, Shaomin Liu², Ruyin Cao¹

Affiliations

¹ School of Resources and Environment, Center for Information Geoscience, University of Electronic Science and Technology of China, Chengdu 611731, China.
² Faculty of Geographical Science and State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China.

Abstract

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°. Its time range for surface air temperature dataset is from 2000 to 2015. Spatial dimension of data: 73°E-106°E, 40°N-23°N. The T_a with a 0.01° can serve as an important input for the modeling of land surface processes, such as surface evapotranspiration estimation, agricultural monitoring, and climate change analysis.