Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 15
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.
https://doi.org/10.5194/gmd-15-6059-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 15
Development and technical paper
 | 
03 Aug 2022
Development and technical paper |  | 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, Kebiao Mao, Fei Meng, Zhihao Qin, Shu Fang, and Sayed M. Bateni

Data sets

A Daily Highest Air Temperature dataset in China from 1979 to 2018 Ping Wang, Kebiao Mao, Fei Meng, Zhihao Qin, Shu Fang, Sayed M. Bateni, and Mansour Almazroui https://doi.org/10.5281/zenodo.6322881

ERA5 hourly data on single levels from 1959 to present H. Hersbach, B. Bell, P. Berrisford, G. Biavati, A. Horányi, J. Muñoz-Sabater, J. Nicolas, C. Peubey, R. Radu, I. Rozum, D. Schepers, A. Simmons, C. Soci, D. Dee, and J.-N. Thépaut https://doi.org/10.24381/cds.adbb2d47

China meteorological forcing dataset (1979-2018) K. Yang and J. He https://doi.org/10.11888/AtmosphericPhysics.tpe.249369.file

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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.
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