Article ID Journal Published Year Pages File Type
10119631 Dynamics of Atmospheres and Oceans 2005 25 Pages PDF
Abstract
The dynamical processes that contribute to the seasonal prediction of the tropical Atlantic sea-surface temperature (SST) anomalies from boreal winter into spring are explored with an atmospheric general circulation model coupled to a slab ocean. Taking advantage of the reduced-physics model that effectively isolates thermodynamic feedbacks from dynamic feedbacks, we examine the joint effect of local thermodynamic feedback and the remote influence of El Niño-Southern Oscillation (ENSO) on the prediction of SST anomalies by conducting large ensembles of prediction runs. These prediction experiments yield the following findings: (1) in the northwestern part of the tropical Atlantic, the positive feedback between the surface heat flux and SST can play an important role in enhancing the predictability of the SST; (2) the remote influence from Pacific ENSO can enhance the SST predictability through a constructive interference with the local thermodynamic feedback, but can also make the SST prediction more difficult when the interference is destructive; (3) ocean dynamics plays a fundamental role for prediction of SST anomalies in the equatorial and south tropical Atlantic. To shed further light on the importance of the ocean dynamics, a statistical procedure of parameterizing the important ocean dynamics is developed within a linear dynamical framework. Prediction experiments with the parameterized ocean dynamics included in the simple coupled model result in an improved forecast skill in predicting the cross-equatorial SST gradient, which subsequently lead to a high skill of the model in predicting seasonal rainfall anomalies associated with variations in the Intertropical Convergence Zone during boreal spring. A diagnostic study suggests that the vertical advection of heat due to anomalous Ekman pumping/suction is a dominant contributing factor for causing equatorial SST anomalies, thereby, a major element of predictable dynamics in this region.
Related Topics
Physical Sciences and Engineering Earth and Planetary Sciences Atmospheric Science
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