Title
The South Atlantic Anticyclone as a key player for the representation of the tropical Atlantic climate in coupled climate models
Date Issued
42601
Access level
restricted access
Resource Type
journal article
Publisher(s)
Springer Verlag
Abstract
The key role of the South Atlantic Anticyclone (SAA) on the seasonal cycle of the tropical Atlantic is investigated with a regionally coupled atmosphere–ocean model for two different coupled domains. Both domains include the equatorial Atlantic and a large portion of the northern tropical Atlantic, but one extends southward, and the other northwestward. The SAA is simulated as internal model variability in the former, and is prescribed as external forcing in the latter. In the first case, the model shows significant warm biases in sea surface temperature (SST) in the Angola-Benguela front zone. If the SAA is externally prescribed, these biases are substantially reduced. The biases are both of oceanic and atmospheric origin, and are influenced by ocean–atmosphere interactions in coupled runs. The strong SST austral summer biases are associated with a weaker SAA, which weakens the winds over the southeastern tropical Atlantic, deepens the thermocline and prevents the local coastal upwelling of colder water. The biases in the basins interior in this season could be related to the advection and eddy transport of the coastal warm anomalies. In winter, the deeper thermocline and atmospheric fluxes are probably the main biases sources. Biases in incoming solar radiation and thus cloudiness seem to be a secondary effect only observed in austral winter. We conclude that the external prescription of the SAA south of 20°S improves the simulation of the seasonal cycle over the tropical Atlantic, revealing the fundamental role of this anticyclone in shaping the climate over this region. © 2016, The Author(s).
Start page
4051
End page
4069
Volume
48
Issue
44906
Number
42
Language
English
Scopus EID
2-s2.0-84982272803
Source
Climate Dynamics
ISSN of the container
0930-7575
1432-0894
Sponsor(s)
We would like to thank Professor Roberto Mechoso for valuable comments, suggestions and discussions that helped to improve the paper. We thank the three referees for the constructive suggestions, which helped to improve the manuscript. The model simulations were performed at the German Climate Computing Center (DKRZ). We thank ECMWF ( http://www.ecmwf.int ) for providing ERA-40 reanalysis data. William Cabos was supported by the Peruvian National Fund for Scientific and Technological Development under the project CRYOPER (Grant 7186-2015). Dmitry V. Sein was supported by the German Federal Ministry of Education and Research (BMBF) under the project SPACES-AGULHAS (research Grant 03G0835B) and by EC project PRIMAVERA under the Grant Agreement No. 641727. Andreas H. Fink was supported by the DACCIWA project, funded from the European Union Seventh Framework Programme (FP7/2007–2013) under Grant Agreement No. 603502. N. Keenlyside was supported by the PREFACE project, funded from the European Union Seventh Framework Programme (FP7/2007–2013) under Grant Agreement No. 603521.
Sources of information:
Directorio de Producción Científica