Articles | Volume 14, issue 3
https://doi.org/10.5194/essd-14-1413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-1413-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
30 Mar 2022
Data description paper |
| 30 Mar 2022
| 30 Mar 2022
Dataset of daily near-surface air temperature in China from 1979 to 2018
School of Physics and Electronic-Engineering, Ningxia University, Yinchuan, 750021, China
School of Earth Sciences and Resources, China University of Geosciences, Beijing, 100083, China
Institute of agricultural resources and regional planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Xueqi Xia
School of Earth Sciences and Resources, China University of Geosciences, Beijing, 100083, China
Ping Wang
School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan, 250100, China
Jiancheng Shi
National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, China
Sayed M. Bateni
Department of Civil and Environmental Engineering and Water Resources Research Center, University of Hawaii at Manoa, Honolulu, HI 96822, USA
Tongren Xu
State Key Laboratory of Earth Surface Processes and Resource Ecology, School of Natural Resources, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China
Mengmeng Cao
Institute of agricultural resources and regional planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
Essam Heggy
Viterbi School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
Zhihao Qin
Institute of agricultural resources and regional planning, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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Latest update: 23 Nov 2024
Short summary
Air temperature is an important parameter reflecting climate change, and the current method of obtaining daily temperature is affected by many factors. In this study, we constructed a temperature model based on weather conditions and established a correction equation. The dataset of daily air temperature (Tmax, Tmin, and Tavg) in China from 1979 to 2018 was obtained with a spatial resolution of 0.1°. Accuracy verification shows that the dataset has reliable accuracy and high spatial resolution.
Air temperature is an important parameter reflecting climate change, and the current method of...
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