Dataset of daily near-surface air temperature in China from 1979 to 2018

Fang, Shu; Mao, Kebiao; Xia, Xueqi; Wang, Ping; Shi, Jiancheng; Bateni, Sayed M.; Xu, Tongren; Cao, Mengmeng; Heggy, Essam; Qin, Zhihao

doi:https://doi.org/10.5194/essd-14-1413-2022

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.

https://doi.org/10.5194/essd-14-1413-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 14, issue 3

Data description paper

|

30 Mar 2022

Data description paper |

| 30 Mar 2022

Dataset of daily near-surface air temperature in China from 1979 to 2018

Shu Fang, Kebiao Mao, Xueqi Xia, Ping Wang, Jiancheng Shi, Sayed M. Bateni, Tongren Xu, Mengmeng Cao, Essam Heggy, and Zhihao Qin

Data sets

A Daily near-surface Air Temperature Dataset for China from 1979 – 2018 Shu Fang, Kebiao Mao, Xueqi Xia, Ping Wang, Jiancheng Shi, Sayed M. Bateni, Tongren Xu, Mengmeng Cao, and Essam Heggy https://doi.org/10.5281/zenodo.5502275

Model code and software

A Daily near-surface Air Temperature Dataset for China from 1979 – 2018 Shu Fang, Kebiao Mao, Xueqi Xia, Ping Wang, Jiancheng Shi, Sayed M. Bateni, Tongren Xu, Mengmeng Cao, and Essam Heggy https://doi.org/10.5281/zenodo.5513811

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 (T_max, T_min, and T_avg) 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.