GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning

He, Qian; Wang, Ming; Liu, Kai; Li, Kaiwen; Jiang, Ziyu

doi:https://doi.org/10.5194/essd-14-3273-2022

Articles | Volume 14, issue 7

https://doi.org/10.5194/essd-14-3273-2022

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

https://doi.org/10.5194/essd-14-3273-2022

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

Articles | Volume 14, issue 7

Data description paper

|

15 Jul 2022

Data description paper |

| 15 Jul 2022

GPRChinaTemp1km: a high-resolution monthly air temperature data set for China (1951–2020) based on machine learning

Qian He, Ming Wang, Kai Liu, Kaiwen Li, and Ziyu Jiang

Supplement

https://doi.org/10.5194/essd-14-3273-2022-supplement

Data sets

GPRChinaTemp1km: 1 km monthly mean air temperature for China from January 1951 to December 2020 Qian He, Ming Wang, Kai Liu, Kaiwen Li, and Ziyu Jiang https://doi.org/10.5281/zenodo.5111989

GPRChinaTemp1km: 1 km monthly minimum air temperature for China from January 1951 to December 2020 Qian He, Ming Wang, Kai Liu, Kaiwen Li, and Ziyu Jiang https://doi.org/10.5281/zenodo.5112232

GPRChinaTemp1km: 1 km monthly maximum air temperature for China from January 1951 to December 2020 Qian He, Ming Wang, Kai Liu, Kaiwen Li, and Ziyu Jiang https://doi.org/10.5281/zenodo.5112122

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We used three machine learning models and determined that Gaussian process regression (GPR) is...