Tropical Atlantic seasonal predictability: The roles of El Nino remote influence and thermodynamic air-sea feedback Academic Article

abstract

• Recent studies suggest that the thermodynamic feedback and the remote influence of El Nino Southern Oscillation (ENSO) are two dominant factors affecting climate variability in the tropical Atlantic sector. Given that both of these processes are included in an atmospheric general circulation model (AGCM) coupled to a mixed layer ocean (ML), such a simple coupled system is expected to possess useful skills in predicting regional climate variability on seasonal time scales. This letter reports some preliminary results from a set of prediction experiments using a coupled AGCM-ML model. These results show promise for prospects of seasonal climate prediction in the tropical Atlantic sector using the simple dynamical seasonal prediction system.

authors

• Chang, Ping
• Saravanan, Ramalingam

published proceedings

• GEOPHYSICAL RESEARCH LETTERS

author list (cited authors)

• Chang, P., Saravanan, R., & Ji, L.

citation count

• 40

complete list of authors

• Chang, P||Saravanan, R||Ji, L

publication date

• May 2003

publisher

• American Geophysical Union (AGU)  Publisher

published in

• Geophysical Research Letters  Journal

keywords

• 13 Climate Action
• 37 Earth Sciences
• 3702 Climate Change Science
• 3706 Geophysics
• 3708 Oceanography

Digital Object Identifier (DOI)

• 10.1029/2002GL016119

start page

• n/a

end page

• n/a

volume

• 30

issue

• 10

URL

• http%3A%2F%2Fdx.doi.org%2F10.1029%2F2002gl016119

user-defined tag

• 13 Climate Action