Climate Dynamics

, Volume 30, Issue 7–8, pp 703–726 | Cite as

Leading patterns of the tropical Atlantic variability in a coupled general circulation model

Article

Abstract

This paper examines the mean annual cycle, interannual variability, and leading patterns of the tropical Atlantic Ocean simulated in a long-term integration of the climate forecast system (CFS), a state-of-the-art coupled general circulation model presently used for operational climate prediction at the National Centers for Environmental Prediction. By comparing the CFS simulation with corresponding observation-based analyses or reanalyses, it is shown that the CFS captures the seasonal mean climate, including the zonal gradients of sea surface temperature (SST) in the equatorial Atlantic Ocean, even though the CFS produces warm mean biases and underestimates the variability over the southeastern ocean. The seasonal transition from warm to cold phase along the equator is delayed 1 month in the CFS compared with the observations. This delay might be related to the failure of the model to simulate the cross-equatorial meridional wind associated with the African monsoon. The CFS also realistically simulates both the spatial structure and spectral distributions of the three major leading patterns of the SST anomalies in the tropical Atlantic Ocean: the south tropical Atlantic pattern (STA), the North tropical Atlantic pattern (NTA), and the southern subtropical Atlantic pattern (SSA). The CFS simulates the seasonal dependence of these patterns and partially reproduces their association with the El Niño-Southern Oscillation. The dynamical and thermodynamical processes associated with these patterns in the simulation and the observations are similar. The air-sea interaction processes associated with the STA pattern are well simulated in the CFS. The primary feature of the anomalous circulation in the Northern Hemisphere (NH) associated with the NTA pattern resembles that in the Southern Hemisphere (SH) linked with the SSA pattern, implying a similarity of the mechanisms in the evolution of these patterns and their connection with the tropical and extratropical anomalies in their respective hemispheres. The anomalies associated with both the SSA and NTA patterns are dominated by atmospheric fluctuations of equivalent-barotropic structure in the extratropics including zonally symmetric and asymmetric components. The zonally symmetric variability is associated with the annular modes, the Arctic Oscillation in the NH and the Antarctic Oscillation in the SH. The zonally asymmetric part of the anomalies in the Atlantic is teleconnected with the anomalies over the tropical Pacific. The misplaced teleconnection center over the southern subtropical ocean may be one of the reasons for the deformation of the SSA pattern in the CFS.

References

  1. Breugem WP, Hazeleger W, Haarsma RJ (2006) Multimodel study of tropical Atlantic variability and change. Geophys Res Lett 33:L23706. DOI 10.1029/2006GL027831 CrossRefGoogle Scholar
  2. Carton JA, Huang B (1994) Warm events in the tropical Atlantic. J Phys Oceanogr 24:888–903CrossRefGoogle Scholar
  3. Chang P, Ji L, Li H (1997) A decadal climate variation in the tropical Atlantic Ocean from thermodynamic air–sea interactions. Nature 385: 516–518CrossRefGoogle Scholar
  4. 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. DOI 10.1038/nature05053 CrossRefGoogle Scholar
  5. Czaja A, Frankignoul C (2002) Observed impact of Atlantic SST anomalies on the North Atlantic Oscillation. J Clim 15:606–623CrossRefGoogle Scholar
  6. Czaja A, van der Vaart P, Marshall J (2002) A diagnostic study of the role of remote forcing in tropical Atlantic variability. J Clim 15: 3280–3290CrossRefGoogle Scholar
  7. Davey MK et al. (2002) STOIC: a study of coupled model climatology and variability in tropical ocean regions. Clim Dyn 18:403–420. DOI 10.1007/s00382-001-0188-6 CrossRefGoogle Scholar
  8. Delworth TL, et al. (2006) GFDL’s CM2 global coupled climate models—part I: formulation and simulation characteristics. J Clim 19:643–674CrossRefGoogle Scholar
  9. Deser C, Capotondi A, Sravanan R, Phillips AS (2006) Tropical Pacific and Atlantic climate variability in CCSM3. J Clim 19:2451–2481CrossRefGoogle Scholar
  10. Enfield DB, Mayer DA (1997) Tropical Atlantic sea surface temperature variability and its relation to the El Niño-Southern Oscillation. J Geophys Res 102(C1):929–945CrossRefGoogle Scholar
  11. Enfield DB, Lee S-K, Wang C (2006) How are large Western Hemisphere warm pools formed? Progr Oceanogr 70(2–4):346–365CrossRefGoogle Scholar
  12. Gnanadesikan A, et al. (2006) GFDL’s CM2 global coupled climate models—part II: the baseline ocean. J Clim 19:675–697CrossRefGoogle Scholar
  13. Gong DY, Wang SW (1999) Definition of Antarctic oscillation index. Geophys Res Lett 26:459–462CrossRefGoogle Scholar
  14. Hall A, Visbeck M (2002) Synchronous variability in the Southern Hemisphere atmosphere, sea ice, and ocean resulting from the annular mode. J Clim 15:3043–3057CrossRefGoogle Scholar
  15. Handoh IC, Bigg GR (2000) A self-sustaining climate mode in the tropical Atlantic, 1995–1997: observations and modelling. Q J R Meteorol Soc 126 (564):807–821CrossRefGoogle Scholar
  16. Hazeleger W, Haarsma RJ (2005) Sensitivity of tropical Atlantic climate to mixing in a coupled ocean–atmosphere model. Clim Dyn 25 (4):387–399. DOI 10.1007/s00382-005-0047-y CrossRefGoogle Scholar
  17. Hong S-Y, Pan H-L (1998) Convective trigger function for a mass-flux cumulus parameterization scheme. Mon Weather Rev 126:2599–2620CrossRefGoogle Scholar
  18. Hu Z-Z, Huang B (2006a) Air–sea coupling in the North Atlantic during summer. Clim Dyn 26(2):441–457. DOI 10.1007/s00382-005-0094-4 CrossRefGoogle Scholar
  19. Hu Z-Z, Huang B (2006b) Physical processes associated with tropical Atlantic SST meridional gradient. J Clim 19 (21):5500–5518CrossRefGoogle Scholar
  20. Hu Z-Z, Huang B (2007a) Physical processes associated with tropical Atlantic SST gradient during the anomalous evolution in the southeastern ocean. J Clim 20 (14):3366–3378CrossRefGoogle Scholar
  21. Hu Z-Z, Huang B (2007b) The predictive skill and the most predictable pattern in the tropical Atlantic: The effect of ENSO. Mon Weather Rev 135 (5):1786–1806CrossRefGoogle Scholar
  22. Hu Z-Z, Huang B, Pegion K (2007c) Low cloud errors over the southeastern Atlantic in the NCEP CFS and their association with lower-tropospheric stability and air-sea interaction. J Geophys Res (Ocean) (in press)Google Scholar
  23. Huang B, Shukla J (1997) Characteristics of the interannual and decadal variability in a general circulation model of the tropical Atlantic Ocean. J Phys Oceanogr 27:1693–1712CrossRefGoogle Scholar
  24. Huang B, Shukla J (2005) Ocean–atmosphere interactions in the tropical and subtropical Atlantic Ocean. J Clim 18:1652–1672CrossRefGoogle Scholar
  25. Huang B, Schopf PS, Pan Z (2002) The ENSO effect on the tropical Atlantic variability: a regionally coupled model study. Geophys Res Lett 29(21):2039. DOI 10.1029/2002GL014872 CrossRefGoogle Scholar
  26. Huang B, Schopf PS, Shukla J (2004) Intrinsic ocean–atmosphere variability of the tropical Atlantic Ocean. J Clim 17:2058–2077CrossRefGoogle Scholar
  27. Huang B, Hu Z-Z, Jha B (2007) Evolution of model systematic errors in the tropical Atlantic basin from the NCEP coupled hindcasts. Clim Dyn 28 (7/8):661–682. DOI 10.1007/s00382-006-0223-8 CrossRefGoogle Scholar
  28. Illig S, Gushchina D, Dewitte B, Ayoub A, du Penhoat Y (2006) The 1996 equatorial Atlantic warm event: Origin and mechanisms. Geophys Res Lett 33:L09701. DOI 10.1029/2006GL025632 CrossRefGoogle Scholar
  29. Jochum M, Murtugudde R (2006) Temperature advection by tropical instability waves. J Phys Oceanogr 36:592–605CrossRefGoogle Scholar
  30. Jungclaus JH, Keenlyside N, Botzet M, Haak H, Luo J-J, Latif M, Marotzke J, Mikolajewicz U, Roeckner E (2006) Ocean circulation and tropical variability in the coupled model ECHAM5/MPI-OM. J Clim 19:3952–3972CrossRefGoogle Scholar
  31. 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 KC, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77:437–471CrossRefGoogle Scholar
  32. Mitchell TP, Wallace JM (1992) On the annual cycle in equatorial convection and sea surface temperature. J Clim 5:1140–1156CrossRefGoogle Scholar
  33. Mo KC (2000) Relationships between low-frequency variability in the Southern Hemisphere and sea surface temperature. J Clim 13:3599–3610CrossRefGoogle Scholar
  34. Mo KC, Häkkinen S (2001) Interannual variability in the tropical Atlantic and linkages to the Pacific. J Clim 14(12):2740–2762CrossRefGoogle Scholar
  35. Mo KC, Higgins RW (1998) The Pacific-South American modes and tropical convection during the Southern Hemisphere winter. Mon Weather Rev 126: 1581–1596CrossRefGoogle Scholar
  36. Mo KC, White GH (1985) Teleconnections in the Southern Hemisphere. Mon Weather Rev 113:22–37CrossRefGoogle Scholar
  37. North GR, Bell TL, Cahalan RF, Moeng FJ (1982) Sampling errors in the estimation of empirical orthogonal functions. Mon Weather Rev 110: 699–706CrossRefGoogle Scholar
  38. Okumura Y, Xie S-P (2004) Interaction of the Atlantic equatorial cold tongue and the African monsoon. J Clim 17:3589–3602CrossRefGoogle Scholar
  39. Pacanowski RC, Griffies SM (1998) MOM 3.0 manual, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey, USA 08542, 668 ppGoogle Scholar
  40. Press WT, Teukolsky SA, Vetterling WT, Flannery BP (1992) Numerical Recipes in fortran, the art of scientific computing, 2nd Edn. Cambridge University Press, Cambridge, pp 1–963Google Scholar
  41. Richman MB (1986) Rotation of principal component. J Climatol 6: 293–335CrossRefGoogle Scholar
  42. Ruiz-Barradas A, Carton JA, Nigam S (2000) Structure of interannual-to-decadal climate variability in the Tropical Atlantic sector. J Clim 13:3285–3297CrossRefGoogle Scholar
  43. Saha S, Nadiga S, Thiaw C, Wang J, Wang W, Zhang Q, van den Dool H, Pan H-L, Moorthi S, Behringer D, Stokes D, Pena M, Lord S, White G, Ebisuzaki W, Peng P, Xie P (2006) The NCEP climate forecast system. J Clim 19(5):3483–3517CrossRefGoogle Scholar
  44. Saravanan R, Chang P (2000) Interaction between tropical Atlantic variability and El Niño-Southern Oscillation. J Clim 13:2177–2194CrossRefGoogle Scholar
  45. da Silva A, Young CC, Levitus S (1994) Atlas of Surface Marine Data 1994. Vol. 1: Algorithms and Procedures. NOAA Atlas NESDIS 6, U. S. Department of Commerce, Washington, DC, 83 ppGoogle Scholar
  46. Smith TM, Reynolds RW (2003) Extended reconstruction of global sea surface temperatures based on COADS data (1854–1997). J Clim 16: 1495–1510CrossRefGoogle Scholar
  47. Sterl A, Hazeleger W (2003) Coupled variability and air–sea interaction in the South Atlantic. Clim Dyn 21:559–571CrossRefGoogle Scholar
  48. Thompson DWJ, Wallace JM (2000) Annular modes in the extratropical circulation. Part I: Month-to-month variability. J Clim 13:1000–1016CrossRefGoogle Scholar
  49. Thompson DWJ, Wallace JM, Hegerl G (2000) Annular modes in the extratropical circulation. Part II: Trends. J Clim 13:1018–1036CrossRefGoogle Scholar
  50. Venegas SA, Mysak LA, Straub DN (1997) Atmosphere–ocean coupled variability in the South Atlantic. J Clim 10:2904–2920CrossRefGoogle Scholar
  51. Visbeck M, Hall A (2004) Reply. J Clim 17:2255–2258CrossRefGoogle Scholar
  52. Wang W, Saha S, Pan H-L, Nadiga S, White G (2005) Simulation of ENSO in the new NCEP coupled forecast system model. Mon Weather Rev 133: 1574–1593CrossRefGoogle Scholar
  53. Woodruff SD, Slutz RJ, Jenne RL, Steurer PM (1987) A comprehensive ocean–atmosphere data set. Bull Am Meteor Soc 68:1239–1250CrossRefGoogle Scholar
  54. Wu L, Zhang Q, Liu Z (2004) Toward understanding tropical Atlantic variability using coupled modeling surgery. In: Wang C, Xie S-P, Carton JA (eds) Earth’s climate: The ocean–atmosphere interaction. Geophysical monograph, no. 147, Am Geophys. Union, Washington DC, pp 157–170Google Scholar
  55. Xie S-P (1999) A dynamic ocean–atmosphere model of the tropical Atlantic decadal variability. J Clim 12:64–70Google Scholar
  56. Xie P, Arkin PA (1996) Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions. J Clim 9:840–858CrossRefGoogle Scholar
  57. Xie S-P, Carton JA (2004) Tropical Atlantic variability: Patterns, mechanisms, and impacts. In: Wang C, Xie S-P, Carton JA (eds) Earth’s Climate: The Ocean–Atmosphere Interaction. Geophysical Monograph, No. 147, Amer Geophys. Union, Washington DC, pp 121–142Google Scholar
  58. Xie S-P, Philander SGH (1994) A coupled ocean–atmosphere model of relevance to the ITCZ in the eastern Pacific. Tellus 46A:340–350CrossRefGoogle Scholar
  59. Xie S-P, Miyama T, Wang Y, Xu H, de Szoeke SP, Small RJO, Richards KJ, Mochizuki T, Awaji T (2007) A regional ocean-atmosphere model for eastern Pacific climate: toward reducing tropical biases. J Clim 20: 1504–1522CrossRefGoogle Scholar
  60. Zebiak SE (1993) Air–sea interaction in the equatorial Atlantic region. J Clim 6:1567–1586CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Center for Ocean-Land-Atmosphere StudiesCalvertonUSA
  2. 2.Department of Climate Dynamics, College of ScienceGeorge Mason UniversityFairfaxUSA

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