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Theoretical and Applied Climatology

, Volume 133, Issue 3–4, pp 1207–1217 | Cite as

The dependence on atmospheric resolution of ENSO and related East Asian-western North Pacific summer climate variability in a coupled model

  • Bo Liu
  • Guijie Zhao
  • Gang Huang
  • Pengfei Wang
  • Bangliang Yan
Original Paper

Abstract

The authors present results for El Niño-Southern Oscillation (ENSO) and East Asian-western North Pacific climate variability simulated in a new version high-resolution coupled model (ICM.V2) developed at the Center for Monsoon System Research of the Institute of Atmospheric Physics (CMSR, IAP), Chinese Academy of Sciences. The analyses are based on the last 100-year output of a 1000-year simulation. Results are compared to an earlier version of the same coupled model (ICM.V1), reanalysis, and observations. The two versions of ICM have similar physics but different atmospheric resolution. The simulated climatological mean states show marked improvement over many regions, especially the tropics in ICM.V2 compared to those in ICM.V1. The common bias in the cold tongue has reduced, and the warm biases along the ocean boundaries have improved as well. With improved simulation of ENSO, including its period and strength, the ENSO-related western North Pacific summer climate variability becomes more realistic compared to the observations. The simulated East Asian summer monsoon anomalies in the El Niño decaying summer are substantially more realistic in ICM.V2, which might be related to a better simulation of the Indo-Pacific Ocean capacitor (IPOC) effect and Pacific decadal oscillation (PDO).

Notes

Acknowledgements

This work was supported by the National Natural Science Foundation of China (41425019 and 41661144016) and the Public Science and Technology Research Funds Projects of Ocean (201505013).

References

  1. Adler RF et al (2003) The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present). J Hydrometeorol 4:1147–1167.  https://doi.org/10.1175/1525-7541(2003)004 CrossRefGoogle Scholar
  2. Bryan FO, Tomas R, Dennis JM, Chelton DB, Loeb NG, McClean JL (2010) Frontal scale air-sea interaction in high-resolution coupled climate models. J Clim 23:6277–6291.  https://doi.org/10.1175/2010JCLI3665.1 CrossRefGoogle Scholar
  3. Chikira M (2010) A cumulus parameterization with state-dependent entrainment rate. Part II: Impact on climatology in a general circulation model. J Atmos Sci 67:2194–2211.  https://doi.org/10.1175/2010JAS3317.1 CrossRefGoogle Scholar
  4. Delworth TL et al (2012) Simulated climate and climate change in the GFDL CM2.5 high-resolution coupled climate model. J Clim 25:2755–2781.  https://doi.org/10.1175/jcli-d-11-00316.1 CrossRefGoogle Scholar
  5. Dong B, Dai AG (2015) The influence of the interdecadal Pacific oscillation on temperature and precipitation over the globe. Clim Dyn 45:2667–2681.  https://doi.org/10.1007/s00382-015-2500-x CrossRefGoogle Scholar
  6. Feng J, Chen W (2014) Interference of the East Asian winter monsoon in the impact of ENSO on the East Asian summer monsoon in decaying phases. Adv Atmos Sci 31:344–354.  https://doi.org/10.1007/s00376-013-3118-8 CrossRefGoogle Scholar
  7. Feng J, Wang L, Chen W (2014) How does the East Asian summer monsoon behave in the decaying phase of El Nino during different PDO phases? J Clim 27:2682–2698.  https://doi.org/10.1175/Jcli-D-13-00015.1 CrossRefGoogle Scholar
  8. Gent PR, Yeager SG, Neale RB, Levis S, Bailey DA (2010) Improvements in a half degree atmosphere/land version of the CCSM. Clim Dyn 34:819–833.  https://doi.org/10.1007/s00382-009-0614-8 CrossRefGoogle Scholar
  9. Gualdi S, Navarra A, Guilyardi E, Delecluse P (2003) Assessment of the tropical Indo-Pacific climate in the SINTEX CGCM. Ann Geophys-Italy 46:1–26Google Scholar
  10. Guilyardi E (2006) El Nino-mean state-seasonal cycle interactions in a multi-model ensemble. Clim Dyn 26:329–348.  https://doi.org/10.1007/s00382-005-0084-6 CrossRefGoogle Scholar
  11. Hertwig E, von Storch JS, Handorf D, Dethloff K, Fast I, Krismer T (2015) Effect of horizontal resolution on ECHAM6-AMIP performance. Clim Dyn 45:185–211.  https://doi.org/10.1007/s00382-014-2396-x CrossRefGoogle Scholar
  12. Hirota N, Takayabu YN (2013) Reproducibility of precipitation distribution over the tropical oceans in CMIP5 multi-climate models compared to CMIP3. Clim Dyn 41:2909–2920.  https://doi.org/10.1007/s00382-013-1839-0 CrossRefGoogle Scholar
  13. Hirota N, Takayabu YN, Watanabe M, Kimoto M (2011) Precipitation reproducibility over tropical oceans and its relationship to the double ITCZ problem in CMIP3 and MIROC5 climate models. J Clim 24:4859–4873.  https://doi.org/10.1175/2011JCLI4156.1 CrossRefGoogle Scholar
  14. Hu KM, Huang G, Wu RG (2013) A strengthened influence of ENSO on August high temperature extremes over the southern Yangtze River valley since the late 1980s. J Clim 26:2205–2221.  https://doi.org/10.1175/JCLI-D-12-00277.1
  15. Huang P, Wang P, Hu K, Huang G, Zhang Z, Liu Y, Yan B (2014) An introduction to the integrated climate model of the Center for Monsoon System Research and its simulated influence of El Niño on East Asian-western North Pacific climate. Adv Atmos Sci 31:1136–1146.  https://doi.org/10.1007/s00376-014-3233-1 CrossRefGoogle Scholar
  16. Jiang T, Kundzewicz ZW, Su B (2008) Changes in monthly precipitation and flood hazard in the Yangtze River basin, China. Int J Climatol 28:1471–1481.  https://doi.org/10.1002/joc.1635 CrossRefGoogle Scholar
  17. Kalnay E et al (1996) The NCEP/NCAR 40-year reanalysis project. B Am Meteorol Soc 77:437–471.  https://doi.org/10.1175/1520-0477(1996)077 CrossRefGoogle Scholar
  18. Kobayashi S et al (2015) The JRA-55 reanalysis: general specifications and basic characteristics. J Meteorol Soc Jpn 93:5–48.  https://doi.org/10.2151/jmsj.2015-001 CrossRefGoogle Scholar
  19. Kosaka Y, Xie SP, Lau NC, Vecchi GA (2013) Origin of seasonal predictability for summer climate over the northwestern Pacific. P Natl Acad Sci USA 110:7574–7579.  https://doi.org/10.1073/pnas.1215582110 CrossRefGoogle Scholar
  20. Luo JJ, Masson S, Roeckner E, Madec G, Yamagata T (2005) Reducing climatology bias in an ocean-atmosphere CGCM with improved coupling physics. J Clim 18:2344–2360.  https://doi.org/10.1175/Jcli3404.1 CrossRefGoogle Scholar
  21. Madec G (2008) NEMO ocean engine. Note du pole de modelisation 27, Institut Pierre-Simon Laplace 193 ppGoogle Scholar
  22. Mantua NJ, Hare SR, Zhang Y, Wallace JM, Francis RC (1997) A Pacific interdecadal climate oscillation with impacts on salmon production. B Am Meteorol Soc 78:1069–1079.  https://doi.org/10.1175/1520-0477(1997)078<1069:Apicow>2.0.Co;2 CrossRefGoogle Scholar
  23. McClean JL et al (2011) A prototype two-decade fully-coupled fine-resolution CCSM simulation. Ocean Model 39:10–30.  https://doi.org/10.1016/j.ocemod.2011.02.011 CrossRefGoogle Scholar
  24. Park W, Keenlyside N, Latif M, Ströh A, Redler R, Roeckner E, Madec G (2009) Tropical Pacific climate and its response to global warming in the Kiel climate model. J Clim 22:71–92.  https://doi.org/10.1175/2008jcli2261.1 CrossRefGoogle Scholar
  25. Rayner NA et al (2003) Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res-Atmos 108.  https://doi.org/10.1029/2002jd002670
  26. Rodwell MJ, Hoskins BJ (2001) Subtropical anticyclones and summer monsoons. J Clim 14:3192–3211.  https://doi.org/10.1175/1520-0442(2001)014,3192:SAASM.2.0.CO;2 CrossRefGoogle Scholar
  27. Roeckner E, et al (2003) The atmospheric general circulation model ECHAM5. PART I: Model description. Report 349, Max Planck Institute for Meteorology 140 ppGoogle Scholar
  28. Roeckner E et al (2006) Sensitivity of simulated climate to horizontal and vertical resolution in the ECHAM5 atmosphere model. J Clim 19:3771–3791.  https://doi.org/10.1175/Jcli3824.1 CrossRefGoogle Scholar
  29. Sakamoto TT et al (2012) MIROC4h—a new high-resolution atmosphere-ocean coupled general circulation model. J Meteorol Soc Jpn 90:325–359CrossRefGoogle Scholar
  30. Song XL, Zhang GJ (2009) Convection parameterization, tropical Pacific double ITCZ, and Upper-Ocean biases in the NCAR CCSM3. Part I: Climatology and Atmospheric Feedback. J Clim 22:4299–4315.  https://doi.org/10.1175/2009JCLI2642.1 CrossRefGoogle Scholar
  31. Song F, Zhou T (2015) The crucial role of internal variability in modulating the decadal variation of the east Asian summer monsoon–ENSO relationship during the twentieth century. J Clim 28:7093–7107.  https://doi.org/10.1175/jcli-d-14-00783.1 CrossRefGoogle Scholar
  32. Stevens B, Giorgetta M, Esch M, Mauritsen T, Crueger T, Rast S, Salzmann M, Schmidt H, Bader J, Block K, Brokopf R, Fast I, Kinne S, Kornblueh L, Lohmann U, Pincus R, Reichler T, Roeckner E (2013) Atmospheric component of the MPI-M earth system model: ECHAM6. J Adv Model Earth Syst 5(2):146–172Google Scholar
  33. Valcke S (2006) OASIS3 user guide. PRISM Tech Rep 3:64 ppGoogle Scholar
  34. Wang HJ (2002) The instability of the East Asian summer monsoon–ENSO relations. Adv Atmos Sci 19:1–11CrossRefGoogle Scholar
  35. Wang CZ, Picaut J (2004) Understanding ENSO physics—a review. Geophys Monogr Ser 147:21–48Google Scholar
  36. Wang B, Wu RG, Fu XH (2000) Pacific-East Asian teleconnection: how does ENSO affect East Asian climate? J Clim 13:1517–1536.  https://doi.org/10.1175/1520-0442(2000)013<1517:Peathd>2.0.Co;2 CrossRefGoogle Scholar
  37. Wang B, Wu RG, Li T (2003) Atmosphere-warm ocean interaction and its impacts on Asian-Australian monsoon variation. J Clim 16:1195–1211.  https://doi.org/10.1175/1520-0442(2003)16<1195:Aoiaii>2.0.Co;2 CrossRefGoogle Scholar
  38. Williamson DL, Kiehl JT, Hack JJ (1995) Climate sensitivity of the Ncar community climate model (Ccm2) to horizontal resolution. Clim Dyn 11:377–397.  https://doi.org/10.1007/Bf00209513 CrossRefGoogle Scholar
  39. Wu B, Zhou TJ, Li T (2009) Seasonally evolving dominant interannual variability modes of East Asian climate. J Clim 22:2992–3005.  https://doi.org/10.1175/2008JCLI2710.1 CrossRefGoogle Scholar
  40. Wu ZW, Li JP, Jiang ZH, He JH, Zhu XY (2012) Possible effects of the North Atlantic oscillation on the strengthening relationship between the East Asian summer monsoon and ENSO. Int J Climatol 32:794–800CrossRefGoogle Scholar
  41. Xie SP, Hu KM, Hafner J, Tokinaga H, Du Y, Huang G, Sampe T (2009) Indian Ocean capacitor effect on Indo-western Pacific climate during the summer following El Nino. J Clim 22:730–747.  https://doi.org/10.1175/2008JCLI2544.1 CrossRefGoogle Scholar
  42. Xie SP, Kosaka Y, Du Y, Hu KM, Chowdary J, Huang G (2016) Indo-western Pacific ocean capacitor and coherent climate anomalies in post-ENSO summer: a review. Adv Atmos Sci 33:411–432.  https://doi.org/10.1007/s00376-015-5192-6 CrossRefGoogle Scholar
  43. Yang JL, Liu QY, Xie SP, Liu ZY, Wu LX (2007) Impact of the Indian Ocean SST basin mode on the Asian summer monsoon. Geophys Res Lett 34.  https://doi.org/10.1029/2006gl028571
  44. Zhang GJ, Song XL (2010) Convection parameterization, tropical Pacific double ITCZ, and Upper-Ocean biases in the NCAR CCSM3. Part II: Coupled Feedback and the Role of Ocean Heat Transport. J Clim 23:800–812.  https://doi.org/10.1175/2009JCLI3109.1 CrossRefGoogle Scholar
  45. Zhang RH, Sumi A, Kimoto M (1999) A diagnostic study of the impact of El Nino on the precipitation in China. Adv Atmos Sci 16:229–241.  https://doi.org/10.1007/Bf02973084 CrossRefGoogle Scholar
  46. Zhang XH, Lin WY, Zhang MH (2007) Toward understanding the double intertropical convergence zone pathology in coupled ocean-atmosphere general circulation models, J Geophys Res-Atmos:112.  https://doi.org/10.1029/2006jd007878
  47. Zhou TJ, Ma SM, Zou LW (2014) Understanding a hot summer in central eastern China: summer 2013 in context of multimodel trend analysis. B Am Meteorol Soc 95:S54–S57Google Scholar

Copyright information

© Springer-Verlag GmbH Austria 2017

Authors and Affiliations

  • Bo Liu
    • 1
    • 2
  • Guijie Zhao
    • 3
  • Gang Huang
    • 1
    • 2
    • 4
  • Pengfei Wang
    • 1
    • 5
  • Bangliang Yan
    • 5
  1. 1.State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina
  2. 2.College of Earth ScienceUniversity of Chinese Academy of SciencesBeijingChina
  3. 3.Beijing Meteorological ServiceBeijingChina
  4. 4.Joint Center for Global Change StudiesBeijingChina
  5. 5.Center for Monsoon System Research, Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina

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