Xiang Li1, Yongyun Hu1*, Jiaqi Guo1, Jiawenjing Lan1, Qifan Lin1, Xiujuan Bao1, Shuai Yuan1, Mengyu Wei1, Zhibo Li1, Kai Man1, Zihan Yin1, Jing Han1, Jian Zhang1, Chenguang Zhu2, Zhouqiao Zhao1, Yonggang Liu1, Jun Yang1, Ji Nie1
1Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China
2Department of Atmospheric Science, School of Environmental Studies, China University of Geosciences, Wuhan, China
*Correspondence to: Yongyun Hu (E-mail: email@example.com)
The Phanerozoic Eon has witnessed considerable changes in the climate system as well as abundant animals and plant life. Therefore, the evolution of the climate system in this Eon is worthy of extensive research. Only by studying climate changes in the past can we understand the driving mechanisms for climate changes in the future and make reliable climate projections. Apart from observational paleoclimate proxy datasets, climate simulations provide an alternative approach to investigate past climate conditions of the Earth, especially for long time span in the deep past. Here we perform 55 snapshot simulations for the past 540 million years, with a 10-million-year interval, using the Community Earth System Model version 1.2.2 (CESM1.2.2). The climate simulation dataset includes global distributions of monthly surface temperatures and precipitation, with a 1° horizontal resolution of 0.9° × 1.25° in latitude and longitude. This open access climate dataset is useful for multidisciplinary research, such as paleoclimate, geology, geochemistry, and paleontology.
This work is supported by the National Natural Science Foundation of China, under grant 41888101. Simulations are conducted at the High-performance Computing Platform of Peking University.
Li, X., Hu, Y., Guo, J., Lan, J., Lin, Q., Bao, X., Yuan, S., Wei, M., Li, Z., Man, K., Yin, Z., Han, J., Zhang, J., Zhu, C., Zhao, Z., Liu, Y., Yang, J. & Nie, J. A high-resolution climate simulation dataset for the past 540 million years. Sci Data 9, 371 (2022). https://doi.org/10.1038/s41597-022-01490-4