A combined Terra and Aqua MODIS land surface temperature and meteorological station  data product for China from 2003 to 2017

Zhao, Bing; Mao, Kebiao; Cai, Yulin; Shi, Jiancheng; Li, Zhaoliang; Qin, Zhihao; Meng, Xiangjin; Shen, Xinyi; Guo, Zhonghua

doi:https://doi.org/10.5194/essd-12-2555-2020

Articles | Volume 12, issue 4

https://doi.org/10.5194/essd-12-2555-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-12-2555-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 4

Data description paper

|

27 Oct 2020

Data description paper |

| 27 Oct 2020

A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003 to 2017

Bing Zhao, Kebiao Mao, Yulin Cai, Jiancheng Shi, Zhaoliang Li, Zhihao Qin, Xiangjin Meng, Xinyi Shen, and Zhonghua Guo

Data sets

A combined Terra and Aqua MODIS land surface temperature and meteorological station data product for China from 2003–2017 Bing Zhao; Kebiao Mao; YuLin Cai; Jiancheng Shi; Zhaoliang Li; Zhihao Qin; Xiangjin Meng https://doi.org/10.5281/zenodo.3528024

Short summary

Land surface temperature is a key variable for climate and ecological environment research. We reconstructed a land surface temperature dataset (2003–2017) to take advantage of the ground observation site through building a reconstruction model which overcomes the effects of cloud. The reconstructed dataset exhibited significant improvements and can be used for the spatiotemporal evaluation of land surface temperature and for high-temperature and drought-monitoring studies.