Understanding Equatorial Atlantic Interannual Variability
By N. Keenlyside, M. Latif. 2007
303 citations recorded by the source corpus.
Abstract An observational-based analysis of coupled variability in the equatorial Atlantic and its seasonality is presented. Regression analysis shows that the three elements of the Bjerknes positive feedback exist in the Atlantic and are spatially similar to those of the Pacific. The cross-correlation functions of the elements of the Bjerknes feedback are also similar and consistent with an ocean–atmosphere coupled mode. However, the growth rate in the Atlantic is up to 50% weaker, and explained variance is significantly lower. The Bjerknes feedback in the Atlantic is strong in boreal spring and summer, and weak in other seasons, which explains why the largest sea surface temperature anomalies (SSTAs) occur in boreal summer. Its seasonality is determined by seasonal variations in both atmospheric sensitivity to SSTA and SSTA sensitivity to subsurface temperature anomalies.
Subfields: Global and Planetary Change, Oceanography
View Paper: https://www.semanticscholar.org/paper/0ff96614a0c1d2a5bcf320c08170cd603f71772a
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In Global and Planetary Change
In Oceanography
Citations in the corpus
- On the connection between Benguela and equatorial Atlantic Niños and the role of the South Atlantic Anticyclone (2010, background): “It is phase‐locked to austral winter when the trade winds are at their maximum and the thermocline is shallow [Keenlyside and Latif, 2007].”
- Pantropical climate interactions (2019, background): “ENSO’s influence on the equatorial Atlantic is not robust, however, with only a weak concurrent correlation between ENSO and the equatorial Atlantic SST (55, 64).”
- Potential of equatorial Atlantic variability to enhance El Niño prediction (2012, background): “Zonal Mode SST variations tend to precede opposite signed anomalies in the central and eastern equatorial Pacific by 2–3 seasons [Wright, 1986; Keenlyside and Latif, 2007].”
- Tropical Atlantic biases and their relation to surface wind stress and terrestrial precipitation (2012, background): “The errors in the mean seasonal cycle of SST also affect the models’ ability to simulate tropical Atlantic variability (TAV).”
- On the origin of equatorial Atlantic biases in coupled general circulation models (2008, background): “…of tropical Atlantic variability involve ocean–atmospheric feedbacks that are dependent on the mean state (Xie and Carton 2004; Chang et al. 2006; Keenlyside and Latif 2007), the failure of coupled GCMs to simulate a realistic mean state bodes ill for their ability to predict…”
- Analysis of the non-linearity in the pattern and time evolution of El Niño southern oscillation (2013, methodology): “Data from this simulation was used also in previous studies of tropical coupled dynamics (e.g. Keenlyside and Latif 2007; Jansen et al. 2009).”