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The representation of the South Tropical Atlantic teleconnection to the Indian Ocean in the AR4 coupled models

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Abstract

A series of recent papers showed that sea surface temperature (SST) anomalies in the south equatorial tropical Atlantic modulate the interannual variability of the African and Indian monsoon rainfall. Physically this teleconnection can be explained by a simple Gill-Matsuno mechanism. In this work, the output from five different models chosen within the CMIP3 (Coupled Model Intercomparison Project version 3) ensemble of coupled general circulation models (CGCMs) are analyzed to investigate how state-of-the-art CGCMs represent the impact of the South Tropical Atlantic (STA) SSTs on the Indian and African region. Using a correlation-regression technique, it is found that four out of the five models display a teleconnection between STA and Indian region which is generally weaker than in the observations but in agreement in the rainfall field pattern. This teleconnection is also noticeable in the ensemble mean of the five models. Over Africa, however, the significant changes in rainfall displayed in the observation are properly caught by only one of the CGCMs. Additionally, none of the models reproduces the symmetric upper-level wind response around the Equator seen over the Indian Ocean in the observations and all have significant biases also in the surface pressure field response to the tropical Atlantic SSTs. Nonetheless the STA response, particularly over the southern hemisphere, is indicative of the Gill-Matsuno-type mechanism identified in previous studies using idealized experiments with atmospheric GCMs and observational data. With a suite of atmospheric-only GCM integrations it is shown that the differences in amplitude and pattern are not only due to the strong biases and reduced variabilities of the CGCMs over the tropical Atlantic but they are also caused by the different physical parameterizations used in models.

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Notes

  1. The statistical significance for all wind vector maps is based on a t test using the standard deviation of the wind speed.

References

  • Adler RF, Huffman GL, Chang A et al (2003) The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979-present). J Hydrometeor 4(6):1147–1167

    Article  Google Scholar 

  • Allan RJ, Ansell TJ (2006) A new globally-complete monthly historical gridded mean sea level pressure data set (HadSLP2). J Clim 19:5816–5842

    Article  Google Scholar 

  • Annamalai H, Hamilton K, Sperber KR (2007) The South Asian summer monsoon and its relationship with ENSO in the IPCC AR4 simulations. J Clim 20:1071–1092

    Article  Google Scholar 

  • Biasutti M, Sobel A, Kushnir Y (2006) AGCM precipitation biases in the tropical Atlantic. J Clim 19:935–958

    Article  Google Scholar 

  • Bourke W (1974) A multilevel spectral model. I. Formulation and hemispheric integrations. Mon Weather Rev 102:687–701

    Article  Google Scholar 

  • Chang P, Fang Y, Saravanan R, Ji L, Seidel H (2006) The cause of the fragile relationship between the Pacific El Niño and the Atlantic Niño. Nature 443:324–328

    Article  Google Scholar 

  • Chen T-C (2003) Maintenance of summer monsoon circulations: a planetary perspective. J Clim 16:2022–2037

    Article  Google Scholar 

  • Delworth TL, Broccoli AJ, Rosati A, Stouffer RJ, Balaji V, Beesley JA, Cooke WF, Dixon KW, Dunne J, Dunne KA, Durachta JW, Findell KL, Ginoux P, Gnanadesikan A, Gordon CT, Griffies SM, Gudgel R, Harrison MJ, Held IM, Hemler RS, Horowitz LW, Klein SA, Knutson TR, Kushner PJ, Langenhorst AR, Lee H, Lin S, Lu J, Malyshev SL, Milly PCD, Ramaswamy V, Russell J, Schwarzkopf MD, Shevliakova E, Sirutis JJ, Spelman MJ, Stern WF, Winton M, Wittenberg AT, Wyman B, Zeng F, Zhangc R (2006) GFDL’s CM2 global coupled climate models—Part 1: formulation and simulation characteristics. J Clim 5:643–674

    Article  Google Scholar 

  • Enfield D, Mayer D (1997) Tropical Atlantic sea surface temperature variability and its relation to El Niño-Southern oscillation. J Geophys Res 102:929–945. doi:10.1029/96JC03296

    Article  Google Scholar 

  • Enfield DB, Mestas-Nunez AM, Mayer DA, Cid-Serrano L (1999) How ubiquitous is the dipole relationship in tropical Atlantic sea surface temperatures?. J Geophys Res 104:7841–7848

    Article  Google Scholar 

  • Giannini A, Saravanan R, Chang P (2003) Oceanic forcing of Sahel rainfall on interannual to interdecadal time scales. Science 302:1027–1030

    Article  Google Scholar 

  • Gill AE (1980) Some simple solutions for heat-induced tropical circulations. Q J Roy Meteor Soc 106:447–462

    Article  Google Scholar 

  • Gordon C, Cooper C, Senior C, Banks H, Gregory J, Johns T, Mitchell J, Wood R (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 16:147–168

    Article  Google Scholar 

  • Handoh I, Bigg GR, Matthews A, Stevens D (2006) Interannual variability of the Tropical Atlantic independent of ENSO: Part II. The South Tropical Atlantic. Int J Climatol 26:1957–1976. doi:10.1002/joc.1342

    Article  Google Scholar 

  • Held IM, Suarez MJ (1994) A proposal for the intercomparison of the dynamical cores of atmospheric general circulation models. Bull Am Meteorol Soc 75:1825–1830

    Article  Google Scholar 

  • Hu ZZ, Huang B (2007) Physical processes associated with the tropical Atlantic SST gradient during the anomalous evolution in the southeastern ocean. J Clim 20:3366–3378

    Article  Google Scholar 

  • Huang B, Schopf P, Shukla J (2004) Intrinsic ocean-atmosphere variability in the tropical Atlantic Ocean. J Clim 17:2058–2077

    Article  Google Scholar 

  • Janicot S, Harzallah A, Fontaine B, Moron V (1998) West African monsoon dynamics and eastern equatorial Atlantic and Pacific SST Anomalies. J Clim 11:1874–1882

    Article  Google Scholar 

  • Joly M, Voldoire A (2009) The global monsoon variability simulated by CMIP3 coupled climate models. J Clim 22:3193–3209

    Article  Google Scholar 

  • Joly M, Voldoire A (2010) Role of the Gulf of Guinea in the inter-annual variability of the West African monsoon: what do we learn from CMIP3 coupled simulations?. Int J Climatol 30:1843–1856. doi:10.1002/joc.2026

    Google Scholar 

  • Jungclaus JH, Keenlyside N, Botzet M, Haak H, Luo JJ, Latif M, Marotzke J, Mikolajewicz U, Roeckner E (2006) Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J Clim 19:3952–3972

    Article  Google Scholar 

  • Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mo C, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:431–437

    Article  Google Scholar 

  • Kim H-J, Wang B, Ding Q (2008) The global monsoon variability simulated by CMIP3 coupled climate models. J Clim 21:5271–5293

    Article  Google Scholar 

  • Kucharski F, Molteni F, Bracco A (2006) Decadal interactions between the western tropical Pacific and the North Atlantic oscillation. Clim Dyn 26:79–91. doi:10.1007/s00382-005-0085-5

    Article  Google Scholar 

  • Kucharski F, Bracco A, Yoo J, Molteni F (2007) Low-frequency variability of the Indian Monsoon-ENSO relationship and the Tropical Atlantic: the weakening of the 1980s and 1990s. J Clim 20:4255–4266

    Article  Google Scholar 

  • Kucharski F, Bracco A, Yoo J, Molteni F (2008) Atlantic forced component of the Indian monsoon interannual variability. Geophys Res Lett 33:L04706. doi:10.1029/2007GL033037

    Article  Google Scholar 

  • Kucharski F, Bracco A, Yoo J, Tompkins A, Feudale L, Ruti P, Dell’Aquila A (2009) A simple Gill-Matsuno-type mechanism explains the Tropical Atlantic influence on African and Indian Monsoon rainfall. Q J Roy Meteor Soc 135:569–579. doi:10.1002/qj.406

    Article  Google Scholar 

  • Kucharski F, Bracco A, Barimalala R, Yoo JH (2010) Contribution of the eastwest thermal heating contrast to the South Asian Monsoon and consequences for its variability. Clim Dyn. doi:10.1007/s00382-010-0858-3

  • Latif M, Grötzner A (2000) On the equatorial Atlantic oscillation and its response to ENSO. Clim Dyn 16:213–218

    Article  Google Scholar 

  • Losada T, Rodriguez-Fonseca B, Polo I, Janicot S, Gervois S, Chauvin F, Ruti P (2010) Tropical response to the Atlantic Equatorial mode: AGCM multimodel approach. Clim Dyn 35:45–52. doi:10.1007/s00382-009-0624-6

    Article  Google Scholar 

  • Molteni F (2003) Atmospheric simulations using a GCM with simplified physical parameterizations. I- Model climatology and variability in multi-decadal experiments. Clim Dyn 20:175–191

    Google Scholar 

  • New M, Hulme M, Jones P (1999) Representing twentieth century spacetime climate variability. Part 1: development of a 1961–1990 mean terrestrial climatology. J Clim 12:829–856

    Article  Google Scholar 

  • Nobre P, Shukla J (1996) Variations of sea surface temperature, wind stress, and rainfall over the tropical Atlantic and South America. J Clim 9:2464–2479

    Article  Google Scholar 

  • Philippon N, Doblas-Reyes FJ, Ruti PM (2010) Skill, reproducibility and potential predictability of the West African monsoon in coupled GCMs. Clim Dyn 35:53–74. doi:10.1007/s00382-010-0856-5

    Article  Google Scholar 

  • Rayner NA, Parker D, Horton E, Folland C, Alexander L, Rowell D, Kent E, Kaplan A (2003) Global analyses of SST, sea ice, and night marine air temperature since the late nineteenth century. J Geophys Res 108:4407. doi:10.1029/2002JD002670

    Article  Google Scholar 

  • Richter I, Xie SP (2008) On the origin of equatorial Atlantic biases in coupled general circulation models. Clim Dyn 31:578–598. doi:10.1007/s00,382-008-0364-z

    Article  Google Scholar 

  • Rodrguez-Fonseca B, Janicot S, Mohino E, Losada T, Bader J, Caminade C, Chauvin F, Fontaine B, Garca-Serrano J, Gervois S, Joly M, Polo I, Ruti P, Roucou P, Voldoire A (2010). Interannual and decadal SST-forced responses of the West African monsoon. Atmos Sci Lett. doi:10.1002/asl.308

  • Rodwell MJ, Hoskins BJ (2001) Subtropical anticyclones and summer monsoons. J Clim 14:3192–3211

    Article  Google Scholar 

  • Saravanan R, Chang P (1999) Oceanic mixed layer feedback and tropical Atlantic variability. Geophys Res Lett 26:3629–3632. doi:10.1029/1999GL010468

    Article  Google Scholar 

  • Saravanan R, Chang P (2000) Interaction between tropical Atlantic variability and El Niño- Southern oscillation. J Clim 13:2177–2194

    Article  Google Scholar 

  • Shanahan TM, Overpeck J, Anchukaitis K, Beck J, Cole J, Dettman DL, Scholz C, King J (2009) Atlantic forcing of persistent drought in West Africa. Science 324:377–380. doi:10.1126/science.1166352

    Article  Google Scholar 

  • Stockdale T, Balmaseda M, Vidard A (2006) Tropical Atlantic SST prediction with coupled ocean-atmosphere GCMs. J Clim 19:6047–6061

    Article  Google Scholar 

  • Turner A, Inness P, Slingo J (2007) The effect of doubled CO2 and model basic state biases on the monsoon-ENSO system. I- mean response and interannual variability. Q J Roy Meteor Soc 133:1143–1157. doi:10.1256/qj.82

    Article  Google Scholar 

  • Vizy EK, Cook K (2001) Mechanisms by which the Gulf of Guinea and eastern North Atlantic sea surface temperature anomalies can influence African rainfall. J Clim 14:795–821

    Article  Google Scholar 

  • Wang C, Kucharski F, Barimalala R, Bracco A (2009) Teleconnections of the Tropical Atlantic to the Tropical Indian and Pacific Oceans: a review of recent findings. Meteorol Z 18:445–454

    Article  Google Scholar 

  • Washington WM, Weatherly J, Meehl GAS Jr, Bettge T, CraigA WS Jr, Arblaster J, Wayland V, James R, Zhang Y (2000) Parallel climate model (PCM) control and transient simulations. Clim Dyn 16:755–774

    Article  Google Scholar 

  • Xi P, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates and numerical model outputs. Bull Am Meteorol Soc 78:2539–2558

    Article  Google Scholar 

  • Xie S, Hu K, 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-Niño. J Clim 22:730–747. doi:10.1175/2008JCLI2544.1

    Article  Google Scholar 

  • Xie P, Yatagai A, Chen M, Hayasaka T, Fukushima Y, Liu C, Yang S (2007) A gauge-based analysis of daily precipitation over East Asia. J Hydrometeor 8:607–627. doi:10.1175/JHM583.1

    Article  Google Scholar 

  • Xue Y, De Sales F, Lau WK-M, Boone A, Feng J, Dirmeyer P, Guo Z, Kim K-M, Kitoh A, Kumar V, Poccard-Leclercq I, Mahowald N, Moufouma-Okia W, Pegion P, Rowell DP, Schemm J, Schubert SD, Sealy A, Thiaw WM, Vintzileos A, Williams SF, Wu M-LC (2010) Intercomparison and analyses of the climatology of the West African Monsoon in the West African Monsoon modeling and evaluation project (WAMME) first model intercomparison experiment. Clim Dyn 35:3–27. doi:10.1007/s00382-010-0778-2

    Article  Google Scholar 

  • Yukimoto S, Noda A, Kitoh A, Sugi M, Kitamura Y, Hosaka M, Shibata K, Maeda S, Uchiyama T (2001) The new meteorological research institute coupled GCM (MRI- CGCM2)-model climate and variability. Pap Meteor Geophys 51:47–88

    Article  Google Scholar 

  • Zebiak S (1993) Airsea interaction in the equatorial Atlantic region. J Clim 6:1567–1586

    Article  Google Scholar 

Download references

Acknowledgments

The authors wish to thank two anonymous reviewers for their insightful comments that helped improving the manuscript. We are also grateful to Franco Molteni for his suggestions.

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Authors and Affiliations

  1. Abdus Salam International Centre for Theoretical Physics, Earth System Physics Section, Strada Costiera 11, 34014, Trieste, Italy

    Rondrotiana Barimalala & Fred Kucharski

  2. EAS, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, 30332, USA

    Rondrotiana Barimalala & Annalisa Bracco

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  1. Rondrotiana Barimalala
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  2. Annalisa Bracco
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Correspondence to Rondrotiana Barimalala.

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Barimalala, R., Bracco, A. & Kucharski, F. The representation of the South Tropical Atlantic teleconnection to the Indian Ocean in the AR4 coupled models. Clim Dyn 38, 1147–1166 (2012). https://doi.org/10.1007/s00382-011-1082-5

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