Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-6059-2022
© 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/gmd-15-6059-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
03 Aug 2022
Development and technical paper |
| 03 Aug 2022
| 03 Aug 2022
A daily highest air temperature estimation method and spatial–temporal changes analysis of high temperature in China from 1979 to 2018
Ping Wang
School of Physics and Electronic-Engineering, Ningxia University,
Yinchuan 750021, China
School of Surveying and Geo-Informatics, Shandong Jianzhu University,
Jinan 250100, China
Institute of agricultural resources and regional planning, Chinese
Academy of Agricultural Sciences, Beijing 100081, China
Fei Meng
School of Surveying and Geo-Informatics, Shandong Jianzhu University,
Jinan 250100, China
Zhihao Qin
Institute of agricultural resources and regional planning, Chinese
Academy of Agricultural Sciences, Beijing 100081, China
School of Earth Sciences and Resources, China University of
Geosciences, Beijing 100083, China
Sayed M. Bateni
Department of Civil and Environmental Engineering and Water Resources
Research Center, University of Hawaii at Manoa, Honolulu, HI 96822, USA
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Short summary
In order to obtain the key parameters of high-temperature spatial–temporal variation analysis, this study proposed a daily highest air temperature (Tmax) estimation frame to build a Tmax dataset in China from 1979 to 2018. We found that the annual and seasonal mean Tmax in most areas of China showed an increasing trend. The abnormal temperature changes mainly occurred in El Nin~o years or La Nin~a years. IOBW had a stronger influence on China's warming events than other factors.
In order to obtain the key parameters of high-temperature spatial–temporal variation analysis,...
