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

被引：7
|
作者：
Ding, Lirong [1 ]
Zhou, Ji [1 ]
Zhang, Xiaodong [1 ]
Liu, Shaomin [2 ,3 ]
Cao, Ruyin [1 ]
机构：
[1] Univ Elect Sci & Technol China, Ctr Informat Geosci, Sch Resources & Environm, Chengdu 611731, Sichuan, Peoples R China
[2] Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
来源：
DATA IN BRIEF | 2018年 / 20卷
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1016/j.dib.2018.08.107
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
引用
收藏
页码：748 / 752
页数：5
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