EGU23-15812
https://doi.org/10.5194/egusphere-egu23-15812
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Relative impacts of sea ice loss and atmospheric internal variability on winter Arctic to East Asian surface air temperature based on large-ensemble simulations with NorESM2

Shengping He1,2,4, Helge Drange2, Tore Furevik2,1, Huijun Wang3,4,5, Ke Fan6, Lise Seland Graff7, and Yvan Orsolini8
Shengping He et al.
  • 1University of Bergen, Geophysical Institute, Bjerknes Centre for Climate Research, Bergen, Norway (shengping.he@uib.no)
  • 2Nansen Environmental and Remote Sensing Center, Norway
  • 3Key Laboratory of Meteorological Disaster, Ministry of Education/Joint International Research Laboratory of Climate and Environment Change (ILCEC)/Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing U
  • 4Nansen-Zhu International Research Center, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, People’s Republic of China
  • 5Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, People’s Republic of China
  • 6School of Atmospheric Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, People’s Republic of China
  • 7Norwegian Meteorological Institute, Oslo, Norway
  • 8Norwegian Institute for Air Research, Kjeller, Norway

To quantify the relative contributions of Arctic sea ice and unforced atmospheric internal variability to “warm Arctic, cold East Asia” (WACE), this study analyses three sets of large-ensemble simulations carried out by the Norwegian Earth System Model with a coupled atmosphere-land surface model, forced by seasonal sea ice conditions from preindustrial, present-day, and future periods. Each ensemble-member within the same set uses the same forcing but with small perturbations to the atmospheric initial state. Hence, the difference between the present-day (or future) ensemble-mean and the preindustrial ensemble-mean provides the ice-loss-induced response, while the difference of the individual members within the present-day (or future) set is the effect of atmospheric internal variability.

Results indicate that both present-day and future sea ice loss can force a negative phase of the Arctic Oscillation with a WACE pattern in winter. The magnitude of ice-induced Arctic warming is over four times larger than the ice-induced East Asian cooling, the latter with a magnitude that is about 30% of the observed cooling. Sea ice loss contributes about 60% (80%) of Arctic winter warming for the present-day (future) climate. Atmospheric internal variability can also induce a WACE pattern with comparable magnitudes between Arctic and East Asia. Ice-loss-induced East Asian cooling can easily be masked by atmospheric internal variability effects because random atmospheric internal variability may induce warming with larger magnitude. Observed WACE pattern occurs as a result of both Arctic sea ice loss and atmospheric internal variability, with the former  dominating Arctic warming and the latter dominating  East Asian cooling.

How to cite: He, S., Drange, H., Furevik, T., Wang, H., Fan, K., Graff, L. S., and Orsolini, Y.: Relative impacts of sea ice loss and atmospheric internal variability on winter Arctic to East Asian surface air temperature based on large-ensemble simulations with NorESM2, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-15812, https://doi.org/10.5194/egusphere-egu23-15812, 2023.