Wintertime internal climate variability over Eurasia in the CESM large ensemble

  • Lin WangEmail author
  • Anyu Deng
  • Ronghui Huang


Based on outputs of historical runs of 38 members from the Community Earth System Model (CESM) Large Ensemble Project, this study evaluates the capability of the model to simulate the winter climate over the Northern Hemisphere, with an emphasis on Eurasia. The climatology and interannual variability of the wintertime circulation and surface air temperature (SAT) can be well reproduced. The multi-member mean of the long-term trends of sea level pressure (SLP) and SAT resemble the observations, suggesting the capability of CESM to reproduce the forced component of the observed trends. Meanwhile, the trends of SLP and SAT show large diversity among the 38 members, implying the importance of low-frequency variability in the observed trends. Considering the high skill of the CESM to simulate the observed climate, the internal climate variability described by the inter-member spread is further examined. It reveals that the internal climate variability of wintertime SLP over Eurasia can be captured by analyzing the inter-member spread of their climatology, interannual variability, or long-term trend. Moreover, the variations of the inter-member spread are regulated by the same mechanism as that of the observed interannual variability, implying the feasibility of explaining the characteristics and mechanism of the inter-member spread with the corresponding interannual variability in observations.


CESM Internal climate variability Interannual variability Arctic oscillation 



We appreciate the three anonymous reviewers for their constructive comments that lead to significant improvement of the manuscript and Dr. Cheng Qian for helpful discussions. We also thank the CESM Large Ensemble Project and supercomputing resources provided by NSF/CISL/Yellowstone for producing and making available their model outputs. This work was supported by the National Natural Science Foundation of China (41661144016, 41721004), the Chinese Academy of Sciences (QYZDY-SSW-DQC024), the Science Fund of Yunnan Province (2018FY001-018), and the Fundamental Research Funds for the Central Universities.


  1. Aalbers EE, Lenderink G, van Meijgaard E, van den Hurk B (2018) Local-scale changes in mean and heavy precipitation in Western Europe, climate change or internal variability? Clim Dyn 50:4745–4766. CrossRefGoogle Scholar
  2. Amaya DJ, Siler N, Xie S-P, Miller AJ (2018) The interplay of internal and forced modes of Hadley Cell expansion: lessons from the global warming hiatus. Clim Dyn 51:305–319. CrossRefGoogle Scholar
  3. Bellomo K, Murphy LN, Cane MA, Clement AC, Polvani LM (2018) Historical forcings as main drivers of the Atlantic multidecadal variability in the CESM large ensemble. Clim Dyn 50:3687–3698. CrossRefGoogle Scholar
  4. Chen W, Lan X, Wang L, Ma Y (2013) The combined effects of the ENSO and the Arctic Oscillation on the winter climate anomalies in East Asia. Chin Sci Bull 58:1355–1362. CrossRefGoogle Scholar
  5. Deser C, Phillips A, Bourdette V, Teng H (2012) Uncertainty in climate change projections: the role of internal variability. Clim Dyn 38:527–546. CrossRefGoogle Scholar
  6. Deser C, Phillips AS, Alexander MA, Smoliak BV (2014) Projecting North American climate over the next 50 years: uncertainty due to internal variability. J Clim 27:2271–2296. CrossRefGoogle Scholar
  7. Gong H, Wang L, Chen W, Wu R, Wei K, Cui X (2014) The climatology and interannual variability of the East Asian winter monsoon in CMIP5 models. J Clim 27:1659–1678. CrossRefGoogle Scholar
  8. Gong H, Wang L, Chen W, Nath D, Huang G, Tao W (2015) Diverse influences of ENSO on the East Asian-Western Pacific winter climate tied to different ENSO properties in CMIP5 models. J Clim 28:2187–2202. CrossRefGoogle Scholar
  9. Gong H, Wang L, Chen W, Chen X, Nath D (2017) Biases of the wintertime Arctic Oscillation in CMIP5 models. Environ Res Lett 12. CrossRefGoogle Scholar
  10. Gong H, Wang L, Zhou W, Chen W, Wu R, Liu L, Nath D, Leung MY (2018) Revisiting the northern mode of East Asian winter monsoon variation and its response to global warming. J Clim 31:9001–9014. CrossRefGoogle Scholar
  11. Harada Y, Kamahori H, Kobayashi C, Endo H, Kobayashi S, Ota Y, Onoda H, Onogi K, Miyaoka K, Takahashi K (2016) The JRA-55 reanalysis: representation of atmospheric circulation and climate variability. J Meteorol Soc Jpn 94:269–302. CrossRefGoogle Scholar
  12. Hawkins E, Sutton R (2012) Time of emergence of climate signals. Geophys Res Lett 39. CrossRefGoogle Scholar
  13. Hoerling M, Eischeid J, Perlwitz J (2010) Regional precipitation trends: distinguishing natural variability from anthropogenic forcing. J Clim 23:2131–2145. CrossRefGoogle Scholar
  14. Hu K, Huang G, Wu R, Wang L (2018) Structure and dynamics of a wave train along the wintertime Asian jet and its impact on East Asian climate. Clim Dyn. CrossRefGoogle Scholar
  15. Huang R, Chen J, Wang L, Lin Z (2012) Characteristics, processes, and causes of the spatio-temporal variabilities of the East Asian monsoon system. Adv Atmos Sci 29:910–942. CrossRefGoogle Scholar
  16. Huang W, Chen R, Yang Z, Wang B, Ma W (2017) Exploring the combined effects of the Arctic Oscillation and ENSO on the wintertime climate over East Asia using self-organizing maps. J Geophys Res-Atmos 122:9107–9129. CrossRefGoogle Scholar
  17. Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteor Soc 77:437–471CrossRefGoogle Scholar
  18. Kay JE, Deser C, Phillips A, Mai A et al (2015) The community earth system model (CESM) large ensemble project: a community resource for studying climate change in the presence of internal climate variability. Bull Am Meteorol Soc 96:1333–1349. CrossRefGoogle Scholar
  19. Kelley C, Ting M, Seager R, Kushnir Y (2012) The relative contributions of radiative forcing and internal climate variability to the late 20th Century winter drying of the Mediterranean region. Clim Dyn 38:2001–2015. CrossRefGoogle Scholar
  20. Kobayashi S, Ota Y, Harada Y, Ebita A, Moriya M, Onoda H, Onogi K, Kamahori H, Kobayashi C, Endo H, Miyaoka K, Takahashi K (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Jpn 93:5–48. CrossRefGoogle Scholar
  21. Liu Y, Wang L, Zhou W, Chen W (2014) Three Eurasian teleconnection patterns: spatial structures, temporal variability, and associated winter climate anomalies. Clim Dyn 42:2817–2839. CrossRefGoogle Scholar
  22. Meehl GA, Hu A, Arblaster JM, Fasullo J, Trenberth KE (2013) Externally forced and internally generated decadal climate variability associated with the interdecadal Pacific oscillation. J Clim 26:7298–7310. CrossRefGoogle Scholar
  23. Mori M, Watanabe M, Shiogama H, Inoue J, Kimoto M (2014) Robust Arctic sea-ice influence on the frequent Eurasian cold winters in past decades. Nat Geosci 7:869–873. CrossRefGoogle Scholar
  24. Oh H, Jhun J-G, Ha K-J, Seo K-H (2017) Combined effect of the East Atlantic/West Russia and Western Pacific teleconnections on the East Asian winter monsoon. Asia-Pac J Atmos Sci 53:273–285. CrossRefGoogle Scholar
  25. Qiao SB, Hu P, Feng TC, Cheng JB, Han ZX, Gong ZQ, Zhi R, Feng GL (2018) Enhancement of the relationship between the winter Arctic oscillation and the following summer circulation anomalies over central East Asia since the early 1990s. Clim Dyn 50:3485–3503. CrossRefGoogle Scholar
  26. Raisanen J (2007) How reliable are climate models? Tellus series A-dynamic. Meteorol Oceanogr 59:2–29. CrossRefGoogle Scholar
  27. Raymond F, Ullmann A, Camberlin P, Oueslati B, Drobinski P (2018) Atmospheric conditions and weather regimes associated with extreme winter dry spells over the Mediterranean basin. Clim Dyn 50:4437–4453. CrossRefGoogle Scholar
  28. Seviour W, J. M (2017) Weakening and shift of the Arctic stratospheric polar vortex: internal variability or forced response? Geophys Res Lett 44:3365–3373. CrossRefGoogle Scholar
  29. Sriver RL, Forest CE, Keller K (2015) Effects of initial conditions uncertainty on regional climate variability: an analysis using a low-resolution CESM ensemble. Geophys Res Lett 42:5468–5476. CrossRefGoogle Scholar
  30. Tebaldi C, Knutti R (2007) The use of the multi-model ensemble in probabilistic climate projections. Phil Trans R Soc A 365:2053–2075. CrossRefGoogle Scholar
  31. Thompson DWJ, Wallace JM (1998) The Arctic Oscillation signature in the wintertime geopotential height and temperature fields. Geophys Res Lett 25:1297–1300CrossRefGoogle Scholar
  32. van Oldenborgh GJ, Doblas Reyes FJ, Drijfhout SS, Hawkins E (2013) Reliability of regional climate model trends. Environ Res Lett 8. CrossRefGoogle Scholar
  33. Wallace JM, Deser C, Smoliak BV, Phillips AS (2013) Attribution of Climate Change in the presence of internal variability. In: Climate change: multidecadal and beyond, Volume 6. World Scientific, pp 1–29Google Scholar
  34. Wang L, Chen W (2014) The East Asian winter monsoon: Re-amplification in the mid-2000s. Chinese Sci Bull 59:430–436. CrossRefGoogle Scholar
  35. Wang L, Liu Y, Zhang Y, Chen W, Chen S (2018) Time-varying structure of the wintertime Eurasian pattern: role of the North Atlantic sea surface temperature and atmospheric mean flow. Clim Dyn. CrossRefGoogle Scholar
  36. Wu Z, Li J, Jiang Z, He J (2010) Predictable climate dynamics of abnormal East Asian winter monsoon: once-in-a-century snowstorms in 2007/2008 winter. Clim Dyn 37:1661–1669. CrossRefGoogle Scholar
  37. Yun J, Ha K-J, Jo Y-H (2018) Interdecadal changes in winter surface air temperature over East Asia and their possible causes. Clim Dyn 51:1375–1390. CrossRefGoogle Scholar
  38. Zheng X-T, Hui C, Yeh S-W (2018) Response of ENSO amplitude to global warming in CESM large ensemble: uncertainty due to internal variability. Clim Dyn. CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Center for Monsoon System Research, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.College of Earth and Planetary SciencesUniversity of Chinese Academy of SciencesBeijingChina
  3. 3.Joint Center for Global Change StudiesBeijingChina

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