EGU23-974
https://doi.org/10.5194/egusphere-egu23-974
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

A quantitative analysis of the source of inter-model spread in Arctic surface warming response to increased CO2 concentration

Xiaoming Hu1,2,3, Yangchi Liu1, Yunqi Kong1, and Qinghua Yang1,2,3
Xiaoming Hu et al.
  • 1Sun Yat-sen Universtiy, Department of Atmospheric Sciences, China (huxm6@mail.sysu.edu.cn)
  • 2Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
  • 3Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Zhuhai, China

This study exams the main sources of inter-model spread in Arctic amplification of surface warming simulated in the abrupt-4×CO2 experiments of 18 CMIP6 models. It is found that the same seasonal energy transfer mechanism, namely that the part of extra solar energy absorbed by Arctic Ocean in summer due to sea-ice melting is temporally stored in ocean in summer and is released in cold months, is responsible for the Arctic amplification in each of the 18 simulations. The models with more (less) ice melting and heat storing in the ocean in summer have the stronger (weaker) ocean heat release in cold season. Associated with more (less) heat release in cold months are more (less) clouds, stronger (weaker) poleward heat transport, and stronger (weaker) upward surface sensible and latent heat fluxes. This explains why the Arctic surface warming is strongest in the cold months and so is its inter-model spread.

How to cite: Hu, X., Liu, Y., Kong, Y., and Yang, Q.: A quantitative analysis of the source of inter-model spread in Arctic surface warming response to increased CO2 concentration, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-974, https://doi.org/10.5194/egusphere-egu23-974, 2023.

Supplementary materials

Supplementary material file