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

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Cited articles

Abdullah, A. M., Ismail, M., Yuen, F. S., Abdullah, S., and Elhadi, R. E.: The Relationship between Daily Maximum Temperature and Daily Maximum Ground Level Ozone Concentration, Pol. J. Environ. Stud., 26, 517–523,, 2017. 
Basu, R.: High ambient temperature and mortality: a review of epidemiologic studies from 2001 to 2008, Environ. Health, 8, 1–13,, 2009. 
Benali, A., Carvalho, A. C., Nunes, J. P., Carvalhais, N., and Santos, A.: Estimating air surface temperature in Portugal using MODIS LST data, Remote Sens. Environ., 124, 108–121,, 2012. 
CMA National Meteorological Information Center: China Surface Climatic Data Daily Dataset [data set],, last access: 9 December 2020a. 
CMA National Meteorological Information Center: Hourly Ta observation data [data set], available at:, last access: 9 December 2020b. 
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.