Abstract
In this study, we evaluate the fidelity of current climate models in simulating the two types of El Nino events using the pre-industrial output in CMIP3 archives. It is shown that a few climate models simulate the two types of El Nino events to some extent, while most of the models have serious systematic problems in simulating distinctive patterns of sea-surface temperature (SST) and precipitation anomaly associated with the two types of El Nino; that is, they tend to simulate a single type of El Nino. It is shown that the ability of climate models in simulating the two types of El Nino is related to the sensitivity of the atmospheric responses to the SST anomaly patterns. Models whose convective location is shifted to the east (west) as the SST anomaly center moves to the east (west) tends to simulate the two types of El Nino events successfully. On the other hand, models whose location of convective anomaly is confined over the western or central Pacific tends to simulate only the single type of El Nino event. It is also shown that the confinement of the convective anomaly over the western or central Pacific is closely linked to the dry bias and the associated cold bias over the eastern Pacific. That is, because positive El Nino SST anomalies over the eastern Pacific cannot increase local convection effectively when the total SSTs are still too cold due to a cold bias. This implies that the realistic simulation of climatology, especially over the equatorial eastern Pacific, is essential to the successful simulation of the two types of El Nino.
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References
An SI, Jin FF (2000) Eigen analysis of the interdecadal changes in the structure and frequency of ENSO mode. Geophys Res Lett 272:2573–2576
An SI, Wang B (2000) Interdecadal change of the structure of the ENSO mode and its impact on the ENSO frequency. J Clim 13:2044–2055
An SI, Ye Z, Hsieh WW (2006) Changes in the leading ENSO modes associated with the late 1970s climate shift: role of surface zonal current. Geophys Res Lett 33:L14609
An SI, Kug J-S, Ham Y-G, Kang I-S (2008) Successive modulation of ENSO to the future greenhouse warming. J Clim 21:3–21
Ashok K, Behera SK, Rao SA, Weng H, Yamagata T (2007) El Niño Modoki and its possible teleconnection. J Geophys Res 112:C11007. doi:10.1029/2006JC003798
Balmaseda MA, Vidard A, Anderson DLT (2008) The ECMWF ORA-S3 ocean analysis system. Mon Weather Rev 136:3018–3034
Capotondi A, Wittenberg A, Masina S (2006) Spatial and temporal structure of Tropical Pacific interannual variability in 20th century coupled simulations. Ocean Model 15:274–298
Fedorov AV, Philander SGH (2000) Is El Niño changing? Science 228:1997–2002
Fedorov AV, Philander SG (2001) A stability analysis of tropical ocean-atmosphere interactions: bridging measurements and theory for El Nino. J Clim 141:3086–3101
Giese BS, Ray S (2011) El Niño variability in simple ocean data assimilation (SODA), 1871–2008. J Geophys Res 116:C02024. doi:10.1029/2010JC006695
Guilyardi E, Gualdi S, Slingo JM, Navarra A, Delecluse P, Cole J, Madec G, Roberts M, Latif M, Terray L (2004) Representing El Nino in coupled ocean-atmosphere GCMs: the dominant role of the atmospheric component. J Clim 17:4623–4629
Guilyardi E, Braconnot P, Jin F-F, Kim ST, Kolasinski M, Li T, Musat I (2009) Atmosphere feedbacks during ENSO in a coupled GCM with a modified atmospheric convection scheme. J Clim 22:5698–5718. doi:10.1175/2009JCLI2815.1
Ham Y-G, Kug J-S, Kang I-S, Jin F-F, Timmermann A (2010) Impact of diurnal atmosphere-ocean coupling on tropical climate simulations using a coupled GCM. Clim Dyn 35:331–340. doi:10.1007/s00382-009-0664-y
Ham Y-G, Kang I-S, Kim D, Kug J-S (2011) El-Nino Southern Oscillation simulated and predicted in SNU coupled GCMs. Clim Dyn (submitted)
Hendon HH, Lim E, Wang G, Alves O, Hudson D (2009) Prospects for predicting two flavors of El Niño. Geophys Res Lett 36:L19713. doi:10.1029/2009GL040100
Jin FF, An S-I (1999) Thermocline and zonal advective feedbacks within the equatorial ocean recharge oscillator model for ENSO. Geophys Res Lett 26:2989–2992
Kang I-S, Kug J-S (2002) El Nino and La Nina Sea surface temperature anomalies: asymmetry characteristics associated with their wind stress anomalies. J Geophys Res 107(D19):4372
Kao H-Y, Yu J-Y (2009) Contrasting eastern-Pacific and central-Pacific types of ENSO. J Clim 22:615–632
Kim H‐M, Webster PJ, Curry JA (2009) Impact of shifting patterns of Pacific Ocean warming on north Atlantic tropical cyclones. Science 325:77–80. doi:10.1126/science.1174062
Kug J‐S, Jin F‐F, An S‐I (2009) Two types of El Niño events: cold tongue El Niño and warm pool El Niño. J Clim 22:1499–1515. doi:10.1175/2008JCLI2624.1
Kug J-S, Choi J, An S-I, Jin F-F, Wittenberg AT (2010a) Warm pool and cold tongue El Nino events as simulated by the GFDL 2.1 coupled GCM. J Clim 23:1226–1239
Kug J-S, Ahn M-S, Sung M-K, Yeh S-W, Min H-S, Kim Y-H (2010b) Statistical relationship between two types of El Nino events and climate variation over the Korean Peninsula. Asia-Pacific J Atmos Sci 46:467–474
Kumar KK, Rajagopalan B, Hoerling M, Bates G, Cane M (2006) Unraveling the mystery of Indian monsoon failure during El Niño. Science 314:115–119. doi:10.1126/science.1131152
Larkin NK, Harrison DE (2005a) On the definition of El Niño and associated seasonal average US weather anomalies. Geophys Res Lett 32:L13705. doi:10.1029/2005GL022738
Larkin NK, Harrison DE (2005b) Global seasonal temperature and precipitation anomalies during El Niño autumn and winter. Geophys Res Lett 32:L16705. doi:10.1029/2005GL022860
Lim E-P, Hendon HH, Hudson D, Wang G, Alves O (2009) Dynamical forecast of inter-El Niño variations of tropical SST and Australian Spring Rainfall. Mon Weather Rev 137:3796–3810. doi:10.1175/2009MWR2904.1
Lloyd J, Guilyardi E, Weller H (2009) The role of atmosphere feedbacks during ENSO in the CMIP3 models. Part II: using AMIP runs to understand the heat flux feedback mechanisms. Atmos Sci Lett 10:170–176
Rienecker MM, Suarez MJ, Gelaro R, Todling R, Bacmeister J, Liu E, Bosilovich MG, Schubert SD, Takacs L, Kim G-K, Bloom S, Chen J, Collins D, Conaty A, da Silva A et al (2011) MERRA—NASA’s modern-era retrospective analysis for research and applications. J Clim (submitted)
Schneider EK (2002) Understanding differences between the equatorial Pacific as simulated by two coupled GCMs. J Clim 15:449–469
Smith TM, Reynolds RW (2004) Improved extended reconstruction of SST (1854–1997). J Clim 18:2466–2477
Wang G, Hendon HH (2007) Sensitivity of Australian rainfall to inter-El Niño variations. J Clim 20:4211–4226. doi:10.1175/JCLI4228.1
Watanabe M, Chikira M, Imada Y, Kimoto M (2011) Convective control of ENSO simulated in MIROC. J Clim 24:543–562
Weng H, Ashok K, Behera SK, Rao SA, Yamagata T (2007) Impacts of recent El Niño Modoki on dry/wet conditions in the Pacific Rim during boreal summer. Clim Dyn 29:113–129. doi:10.1007/s00382-007-0234-0
Wittenberg AT (2002) ENSO response to altered climates. PhD Thesis, Princeton University, p 475
Wittenberg AT, Rosati A, Lau NC, Ploshay JJ (2006) GFDL’s CM2 global coupled climate models. Part III: tropical pacific climate and ENSO. J Clim 19:698–722
Yeh S‐W, Kug J‐S, Dewitte B, Kwon M‐H, Kirtman BP, Jin F‐F (2009) El Niño in a changing climate. Nature 461:511–514. doi:10.1038/nature08316
Yu J-Y, Kim ST (2010) Identification of Central-Pacific and Eastern-Pacific types of ENSO in CMIP3 models. Geophys Res Lett 37:L15705. doi:10.1029/2010GL044082
Yu J-Y, Kao H-Y, Lee T (2010) Subtropics-related interannual sea surface temperature variability in the central equatorial Pacific. J Clim 23:2869–2884. doi:10.1175/2010JCLI3171.1
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This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government (MEST) (NRF-2009—C1AAA001—2009-0093042).
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Ham, YG., Kug, JS. How well do current climate models simulate two types of El Nino?. Clim Dyn 39, 383–398 (2012). https://doi.org/10.1007/s00382-011-1157-3
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DOI: https://doi.org/10.1007/s00382-011-1157-3