El Ni?o teleconnections in CMIP5 models

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• 作者：Bryan C. Weare
• 关键词：El Ni?o ; ENSO ; CMIP5 ; Models ; Teleconnections
• 刊名：Climate Dynamics
• 出版年：2013
• 出版时间：October 2013
• 年：2013
• 卷：41
• 期：7-8
• 页码：2165-2177
• 全文大小：1737KB
• 参考文献：1. AchutaRao K, Sperber KR (2006) ENSO simulation in coupled ocean-atmosphere models: are the current models better? Clim Dyn 27:1-5 CrossRef
  2. Ashok K, Yamagata T (2009) The El Ni?o with a difference. Nature 461:481-84 CrossRef
  3. Collins WD et al (2006) The community climate system model version 3 (CCSM3). J Clim 19:2122-143 CrossRef
  4. Collins WJ, Bellouin N, Doutriaux-Boucher M, Gedney N, Hinton T, Jones CD, Liddicoat S, Martin G, O’Connor F, Rae J, Senior C, Totterdell I, Woodward S (2008) Evaluation of the HadGEM2 model. Meteorological Office Hadley Centre, technical note 74. office.gov.uk/publications/HCTN/HCTN_74.pdf" class="a-plus-plus">http://www.metoffice.gov.uk/publications/HCTN/HCTN_74.pdf
  5. Collins M et al (2010) The impact of global warming on the tropical Pacific Ocean and El Nino. Nat Geosci 3:391-97. doi:10.1038/NGEO868 CrossRef
  6. Dee DP, Uppala SM, Simmons AJ et al (2011) The ERA-interim reanalysis: configuration and performance of the data assimilation system. Q J Roy Meteorol Soc 137:553-97 CrossRef
  7. Diansky NA, Volodin EM (2002) Simulation of present-day climate with a coupled atmosphere-ocean general circulation model, Izvestiya. Atmos Ocean Phys 38:732-47
  8. Douville H, Chauvin F, Planton S, Royer J-F, Salas-Me’lia D, Tyteca S (2002) Sensitivity of the hydrological cycle to increasing amounts of greenhouse gases and aerosols. Clim Dyn 20:45-8. doi:10.1007/s00382-002-0259-3 CrossRef
  9. Dufresne J-L et al (2012) Climate change projections using the IPSL–CM5 earth system model: from CMIP3 to CMIP5 Clim Dyn (in revision). http://www.lmd.jussieu.fr/~jldufres/publi_ipslcm5/Smi/ipsl-cm5.pdf
  10. Gent PR, Danabasoglu G, Donner LJ, Holland MM, Hunke EC, Jayne SR, Lawrence DM, Neale RB, Rasch PJ, Vertenstein M, Worley PH, Yang Z-L, Zhang M (2011) The community climate system model version 4. J Clim 24:4973-991 CrossRef
  11. Giorgetta MA, Roeckner E, Mauritsen T, Stevens B, Crueger T, Esch M, Rast S, Kornblueh L, Schmidt H, Kinne S, M?bis B, Krismer T, Reick C, Raddatz T, Gayler V (2012) The atmospheric general circulation model ECHAM6—model description. http://www.mpimet.mpg.de/en/science/models/echam.html
  12. Glantz MH (2001) Currents of change. Cambridge University Press, Cambridge, p 252
  13. Gordon C, Cooper C, Senior CA, Banks HT, Gregory JM, Johns TC, Mitchell JFB, Wood RA (2000) The simulation of SST, sea ice extents and ocean heat transports in a version of the Hadley Centre coupled model without flux adjustments. Clim Dyn 16:147-68 CrossRef
  14. Guilyardi E (2006) El Ni?o-mean state-seasonal cycle interactions in a multi-model ensemble. Clim Dyn 26:329-48 CrossRef
  15. Guilyardi E, Gualdi S, Slingo J, Navarra A, Delecluse P, Cole J, Madec G, Roberts M, Latif M, Terray L (2004) Representing El Ni?o in coupled ocean–atmosphere GCMs: the dominant role of the atmospheric component. J Clim 17:4623-629 CrossRef
  16. Guilyardi E, Cai W, Collins M, Fedorov A, Jin F-F, Kumar A, Sun D-Z, Wittenberg A (2012) New strategies for evaluating ENSO processes in climate models. Bull Am Meteorol Soc 93:235-38 CrossRef
  17. Hoskins BJ, Karoly DJ (1980) The steady linear response of a spherical atmosphere to thermal and orographic forcing. J Atmos Sci 38:1179-196 CrossRef
  18. Johns TC et al (2006) The new Hadley centre climate model (HadGEM1): evaluation of coupled simulations. J Clim 19:1327-353 CrossRef
  19. Kanamitsu M, Ebisuzaki W, Woollen J, Yang S-K, Hnilo JJ, Fiorino M, Potter GL (2002) NCEP–DOE AMIP-II reanalysis (R-2). Bull Am Meteorol Soc 83:1631-643 CrossRef
  20. Latif M, Keenlyside NS (2009) El Nino/southern oscillation response to global warming. Proc Natl Acad Sci USA 106:20578-0583 CrossRef
  21. Latif M, Anderson D, Barnett T, Cane M, Kleeman R, Leetmaa A, O’Brien J, Rosati A, Schneider E (1998) A review of the predictability and prediction of ENSO. J Geophys Res 103:14375-4393 CrossRef
  22. Leloup J, Lengaigne M, Boulanger J-P (2008) Twentieth century ENSO characteristics in the IPCC database. Clim Dyn 30:277-91 CrossRef
  23. Marti O et al (2010) Key features of the IPSL ocean atmosphere model and its sensitivity to atmospheric resolution. Clim Dyn 34:1-6 CrossRef
  24. Meehl GA, Teng H (2007) Multi-model changes in El Ni?o teleconnections over North America in a future warmer climate. Clim Dyn 29:779-90 CrossRef
  25. Meehl GA, Covey C, Delworth T, Latif M, McAvaney B, Mitchell JFB, Stouffer RJ, Taylor KE (2007) The WCRP CMIP3 multimodel dataset: a new era in climate change research. Bull Am Meteorol Soc 88:1349-383 CrossRef
  26. Mochizuki T et al (2010) Pacific decadal oscillation hindcasts relevant to near-term climate prediction. Proc Natl Acad Sci USA 107:1833-837 CrossRef
  27. Mochizuki T, Chikamoto Y, Mimoto M, Ishii M, Tatebe H, Komuro Y, Sakamoto TT, Watanabe M, Mori M (2012) Decadal prediction using a recent Series of MIROC global climate models. J Meteorol Soc Jpn 90A:373-83 CrossRef
  28. Neelin JD (2011) Climate change and climate modeling. Cambridge University Press, Cambridge, p 282
  29. Neelin JD, Battisti DS, Hirst AC, Jin FF, Wakata Y, Yamagata T, Zebiak SE (1998) ENSO theory. J Geophys Res Ocean 103:14261-4290 CrossRef
  30. Philander G (1990) El Ni?o, La Ni?a, and the southern oscillation. Academic Press, San Diego, p 289
  31. Roeckner E, Stier P, Feichter J, Kloster S, Esch M, Fischer-Bruns I (2006) Impact of carbonaceous aerosol emissions on regional climate change. Clim Dyn 27:553-71 CrossRef
  32. Sato N, Takahashi C, Seiki A, Yoneyama K, Shirooka R, Takayabu YN (2009) An evaluation of the reproducibility of the Madden–Julian oscillation in the CMIP3 multi-models. J Meteorol Soc Jpn 87:791-05. doi:10.2151/jmsj.87.791 CrossRef
  33. Schmidt GA, Ruedy R, Hansen JE et al (2006) Present day atmospheric simulations using GISS model E: comparison to in situ, satellite and reanalysis data. J Clim 19:153-92 CrossRef
  34. Schneider EK, Fennessy MJ, Kinter JL III (2009) A statistical-dynamical estimate of winter ENSO teleconnections in a future climate. J Clim 22:6624-638 CrossRef
  35. Seland ?, Iversen T, Kirkev?g A, Storelvmo T (2008) Aerosol–climate interactions in the CAM–Oslo atmospheric GCM and investigations of associated shortcomings. Tellus 60A:459-91
  36. Taylor KE (2001) Summarizing multiple aspects of model performance in a single diagram. J Geophys Res 106:7183-192. doi:10.1029/2000JD900719 CrossRef
  37. Trenberth KE (1997) The definition of El Ni?o. Bull Am Meteorol Soc 78:2771-777 CrossRef
  38. Uppala SM et al (2005) The ERA-40 re-analysis. Q J R Meteorol Soc 131:2961-012 CrossRef
  39. Voldoire A, Sanchez-Gomez E, Salas y Mélia D et al (2012) The CNRM–CM5.1 global climate model: description and basic evaluation. doi:10.1007/s00382-011-1259-y
  40. Volodin EM, Diansky NA, Gusev AV (2010) Simulating present-day climate with the INMCM4.0 coupled model of the atmospheric and oceanic general circulations, Izvestia. Atmos Ocean Phys 46:414-31 CrossRef
  41. von Storch H, Zwier FW (1999) Statistical analysis in climate research. Cambridge University Press, Cambridge, p 484
  42. Watanabe S, Hajima T, Sudo K et al (2011) MIROC–ESM 2010: model description and basic results of CMIP5-20c3?m experiments. Eosci Model Dev 4:845-72. doi:10.5194/gmd-4-845-2011 CrossRef
  43. Widmann M, Bretherton CS (2000) Validation of mesoscale precipitation in the NCEP reanalysis using a new gridcell dataset for the Northwestern United States. J Clim 13:1936-950 CrossRef
  44. Wu T, Yu R, Zhang F et al (2010) The Beijing Climate Center for atmospheric general circulation model (BCC–AGCM2.0.1): description and its performance for the present-day climate. Clim Dyn 34:123-47 CrossRef
  45. Yu YQ, Zheng WP, Wang B, Liu HL, Liu JP (2011) Versions g1.0 and g1.1 of the LASG/IAP flexible global ocean–atmosphere-land system model. Adv Atmos Sci 28:99-17. doi:10.1007/s00376-010-9112-5 CrossRef
  46. Yukimoto S, Endoh M, Kitamura Y, Kitoh A, Motoi T, Noda A (2000) ENSO-like interdecadal variability in the Pacific Ocean as simulated in a coupled general circulation model. J Geophys Res Ocean 105:13945-3963. doi:10.1029/2000JC900034 CrossRef
  47. Zhang Y-L, Yu Y-Q (2011) Analysis of decadal climate variability in the tropical Pacific by coupled GCM. Atmos Ocean Sci Lett 4:204-08
  
• 作者单位：Bryan C. Weare (1)
  
  1. Atmospheric Science Program, Land, Air and Water Resources, University of California, Davis, CA, USA
  
• ISSN：1432-0894

文摘

Teleconnections associated with warm El Ni?o/southern oscillation (ENSO) events in 20 climate model intercomparison project 5 (CMIP5) models have been compared with reanalysis observations. Focus has been placed on compact time and space indices, which can be assigned a specific statistical confidence. Nearly all of the models have surface temperature, precipitation and 250?hPa geopotential height departures in the Tropics that are in good agreement with the observations. Most of the models also have realistic anomalies of Northern Hemisphere near-surface temperature, precipitation and 500?hPa geopotential height. Model skill for these variables is significantly related to the ability of a model to accurately simulate Tropical 250?hPa height departures. Additionally, most models have realistic temperature and precipitation anomalies over North America, which are linked to a model’s ability to simulate Tropical 250?hPa and Northern Hemisphere 500?hPa height departures. The skills of temperature and precipitation departures over the Northern Hemisphere and North America are associated with the ability to realistically simulate realistic ENSO frequency and length. Neither horizontal nor vertical resolution differences for either the model atmosphere or ocean are significantly related at the 95?% level to variations in El Ni?o simulation quality. Overall, recent versions of earlier models have improved in their ability to simulate El Ni?o teleconnections. For instance, the average model skills of temperature and precipitation for the Tropics, Northern Hemisphere and North America for 11 CMIP5 models are all larger than those for prior versions.