Abstract
Most coupled general circulation models (GCMs) perform poorly in the tropical Atlantic in terms of climatological seasonal cycle and interannual variability. The reasons for this poor performance are investigated in a suite of sensitivity experiments with the Geophysical Fluid Dynamics Laboratory (GFDL) coupled GCM. The experiments show that a significant portion of the equatorial SST biases in the model is due to weaker than observed equatorial easterlies during boreal spring. Due to these weak easterlies, the tilt of the equatorial thermocline is reduced, with shoaling in the west and deepening in the east. The erroneously deep thermocline in the east prevents cold tongue formation in the following season despite vigorous upwelling, thus inhibiting the Bjerknes feedback. It is further shown that the surface wind errors are due, in part, to deficient precipitation over equatorial South America and excessive precipitation over equatorial Africa, which already exist in the uncoupled atmospheric GCM. Additional tests indicate that the precipitation biases are highly sensitive to land surface conditions such as albedo and soil moisture. This suggests that improving the representation of land surface processes in GCMs offers a way of improving their performance in the tropical Atlantic. The weaker than observed equatorial easterlies also contribute remotely, via equatorial and coastal Kelvin waves, to the severe warm SST biases along the southwest African coast. However, the strength of the subtropical anticyclone and along-shore winds also play an important role.
Similar content being viewed by others
References
Abramowitz G, Pitman A, Gupta H, Kowalczyk E, Wang Y (2007) Systematic bias in land surface models. J Hydrometeor 8:989–1001
Abramowitz G, Leuning R, Clark M, Pitman A (2008) Evaluating the performance of land surface models. J Clim 21:5468–5481
Breugem WP, Hazeleger W, Haarsma RJ (2006) Multimodel study of tropical Atlantic variability and change. Geophys Res Lett 33. doi:10.1029/2006GL027831
Breugem WP, Chang P, Jang CJ, Mignot J, Hazeleger W (2008) Barrier layers and tropical Atlantic SST biases in coupled GCMs. Tellus 60A:885–897
Chang P et al (2006) Climate fluctuations of tropical coupled system—the role of ocean dynamics. J Clim 19:5122–5174
Chang CY, Carton JA, Grodsky SA, Nigam S (2007) Seasonal climate of the tropical Atlantic sector in the NCAR Community Climate System Model 3: error structure and probable causes of errors. J Clim 20:1053–1070
Chang CY, Nigam S, Carton JA (2008) Origin of the springtime westerly bias in equatorial Atlantic surface winds in the Community Atmosphere Model version 3 (CAM3) simulation. J Clim 21:4766–4778
Davey MK et al (2002) STOIC: a study of coupled model climatology and variability in tropical ocean regions. Clim Dyn 18:403–420
Delworth TL et al (2006) GFDL’s CM2 global coupled climate models. Part I: formulation and simulation characteristics. J Climate 19:643–674
Dirmeyer PA, Koster RD, Guo Z (2006) Do global models properly represent the feed-back between land and atmosphere? J Hydrometeor 7:1177–1198
Florenchie P, Lutjeharms JRE, Reason CJC, Masson S, Rouault M (2003) The source of Bengula Niños in the South Atlantic Ocean. Geophys Res Lett 30. doi:10.1029/2003GL017,172
GFDL Global Atmospheric Model Development Team (2004) The new GFDL global atmosphere and land model AM2/LM2: evaluation with prescribed SST simulations. J Clim 17:4641–4673
Hu Z-Z, Huang B, Hou Y-T, Wang W, Yang F, Stan C, Schneider EK (2010) Sensitivity of tropical climate to low-level clouds in the NCEP climate forecast system. Clim Dyn doi 10.1007/s00382-010-0797-z
Huang B, Hu Z-Z, Jha B (2007) Evolution of model systematic errors in the tropical Atlantic basin from coupled climate hindcasts. Clim Dyn 28:661–682
Keenlyside NS, Latif M (2007) Understanding equatorial Atlantic interannual variability. J Clim 20:131–142
Kousky VE (1980) Diurnal rainfall variation in northeast Brazil. Mon Weather Rev 108:488–498
Large WG, Danabasoglu G (2006) Attribution and impacts of upper-ocean biases in CCSM3. J Clim 19:2325–2346
Laurent H, Machado LAT, Morales CA, Durieux L (2002) Characteristics of the Amazonian mesoscale convective systems observed from satellite and radar during the WETAMC/LBA experiment. J Geophys Res 107. doi:10.1029/2001JD000337
Locarnini RA, Mishonov AV, Antonov JI, Boyer TP, Garcia HE (2006) World Ocean Atlas 2005, vol 1: temperature. In: Levitus S (ed) NOAA Atlas NESDIS 61. U.S. Government Printing Office, Washington, DC, p 182
Lübbecke JF, Böning CW, Keenlyside NS, Xie S-P (2010) On the connection between Benguela and equatorial Nñios and the role of the South Atlantic anticyclone. J Geophys Res 115. doi:10.1029/2009JC005964
Lumpkin R, Garzoli S (2005) Near-surface circulation in the Tropical Atlantic Ocean Deep Sea Res I 52:495–518. doi:10.1016/j.dsr.2004.09.001
Misra V, Marx L, Brunke M, Zeng X (2008) The equatorial Pacific cold tongue bias in a coupled climate model. J Clim 21:5852–5869
Moore D, Hisard P, McCreary J, Merle J, O’Brien J, Picaut J, Verstraete J-M, Wunsch C (1978) Equatorial adjustment in the eastern Atlantic. Geophys Res Lett 5:637–640
Pinty B, Lavergne T, Dickinson RE, Widlowski J-L, Gobron N, Verstraete MM (2006) Simplifying the interaction of land surfaces with radiation for relating remote sensing products to climate models. J Geophys Res 111. doi:10.1029/2005JD005952
Polo I, Rodríguez-Fonseca B, Losada T, García-Serrano J (2008) Tropical Atlantic variability modes (1979–2002). Part I: time-evolving SST modes related to West African rainfall. J Clim 21:6457–6475
Repelli CA, Nobre P (2004) Statistical prediction of sea surface temperature over the tropical Atlantic. Int J Climatol 24:45–55
Richter I, Xie S-P (2008) On the origin of equatorial Atlantic biases in coupled general circulation models. Clim Dyn 31:587–598
Richter I, Behera SK, Masumoto Y, Taguchi B, Komori N, Yamagata T (2010) On the triggering of Benguela Niños—remote equatorial vs. local influences. Geophys Res Lett 37. doi:10.1029/2010GL044461
Rouault M, Illig S, Bartholomae C, Reason CJC, Bentamy A (2007) Propagation and origin of warm anomalies in the Angola Benguela upwelling system in 2001. J Mar Syst 68:473–488
Stockdale TN, Balmaseda MA, Vidard A (2006) Tropical Atlantic SST prediction with coupled ocean–atmosphere GCMs. J Clim 19:6047–6061
Wahl S, Latif M, Park W, Keenlyside N (2009) On the tropical Atlantic SST warm bias in the Kiel Climate Model. Clim Dyn. doi:10.1007/s00382-009-0690-9
Wang D, Wang G, Agnostou EN (2005) Use of satellite-based precipitation observation in improving the parameterization of canopy hydrological processes in land surface models. J Hydrometeor 6:745–763
Wittenberg AT, Rosati A, Lau N-C, Ploshay JJ (2006) GFDL’s CM2 global coupled climate models. Part III: Tropical Pacific climate and ENSO. J Clim 19:698–722
Xie S-P, Carton JA (2004) Tropical Atlantic variability: patterns, mechanisms, and impacts. In: Earth climate: the ocean–atmosphere interaction geophysical monograph, vol 147. AGU, Washington, DC, pp 121–142
Yamagata T, Iizuka S (1995) Simulation of the tropical thermal domes in the Atlantic: a seasonal cycle. J Phys Oceanogr 25:2129–2140
Yuan J, Houze A Jr (2010) Global variability of mesoscale convective system anvil structure from A-train satellite data. J Clim 23:5864–5888
Acknowledgments
The authors would like to thank Dr. Swadhin Behera for his helpful comments. Thanks to the two anonymous reviewers for their helpful comments. This work was supported by the NOAA Climate Variability Program, NASA, and JAMSTEC. IPRC/SOEST publication number #765/8109.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Richter, I., Xie, SP., Wittenberg, A.T. et al. Tropical Atlantic biases and their relation to surface wind stress and terrestrial precipitation. Clim Dyn 38, 985–1001 (2012). https://doi.org/10.1007/s00382-011-1038-9
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00382-011-1038-9