cris.boxmetadata.label.title
Tropical Atlantic Variability: Observations and modeling
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.september 2019
cris.boxmetadata.label.accesslevel
open access
cris.boxmetadata.label.resourcetype
review
cris.boxmetadata.label.authors
de la Vara A.
Koseki S.
Universidad de Alcalá
cris.boxmetadata.label.publisher
Multidisciplinary Digital Publishing Institute (MDPI)
cris.boxmetadata.label.abstract
We review the state-of-the-art knowledge of Tropical Atlantic Variability (TAV). A well-developed observing system and sustained effort of the climate modeling community have improved our understanding of TAV. It is dominated by the seasonal cycle, for which some mechanisms have been identified. The interannual TAV presents a marked seasonality with three dominant modes: (i) the Atlantic Zonal Mode (AZM), (ii) the Atlantic Meridional Mode (AMM) and (iii) the variability in the Angola-Benguela Front (ABF). At longer time scales, the AMM is active and low-frequency variations in the strength, periodicity, and spatial structure of the AZM are observed. Also, changes in the mean position of the ABF occur. Climate models still show systematic biases in the simulated TAV. Their causes are model-dependent and relate to drawbacks in the physics of the models and to insufficient resolution of their atmospheric and oceanic components. The identified causes for the biases can have local or remote origin, involving the global ocean and atmospheric circulation. Although there is not a clear consensus regarding the role of model resolution in the representation of the TAV, eddy-resolving ocean models combined with atmospheric models with enhanced horizontal and vertical resolutions simulate smaller biases.
cris.boxmetadata.label.volume
10
cris.boxmetadata.label.issue
9
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Meteorología y ciencias atmosféricas Investigación climática Oceanografía, Hidrología, Recursos hídricos
cris.boxmetadata.label.publicationversion
Version of Record
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85072250148
cris.boxmetadata.label.source
Atmosphere
cris.boxmetadata.label.containerissn
2073-4433
cris.boxmetadata.label.sponsor
We are grateful to Elva Wang for efficiently handling the review process. We thank both anonymous reviewers for their insightful comments, which allowed us to improve this manuscript. Work conducted by William Cabos and Alba de la Vara has been funded by the Spanish Ministry of Science, Innovation and Universities, the Spanish State Research Agency and the European Regional Development Fund, through grant CGL2017-89583-R. William Cabos has also been supported by Salvador Madariaga grant (Spanish Ministry of Science Innovation and Universities). S. Koseki has been supported by Giner de los Rios 2018/19 (University of Alcalá) and STERCP (European Research Council, grant no. 648982).
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