Coupled Interannual Variability of Wind and Sea Surface Temperature in the Caribbean Sea and the Gulf of Mexico
Affiliation
Univ Arizona, Dept Hydrol & Atmospher SciIssue Date
2019-07Keywords
Atmosphere-ocean interactionClimate variability
ENSO
Pattern detection
Interannual variability
North Atlantic Oscillation
Metadata
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AMER METEOROLOGICAL SOCCitation
Rodriguez-Vera, G., Romero-Centeno, R., Castro, C. L., & Castro, V. M. (2019). Coupled Interannual Variability of Wind and Sea Surface Temperature in the Caribbean Sea and the Gulf of Mexico. Journal of Climate, 32(14), 4263-4280.Journal
JOURNAL OF CLIMATERights
© 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
This work describes dominant patterns of coupled interannual variability of the 10-m wind and sea surface temperature in the Caribbean Sea and the Gulf of Mexico (CS&GM) during the period 1982-2016. Using a canonical correlation analysis (CCA) between the monthly mean anomalies of these fields, four coupled variability modes are identified: the dipole (March-April), transition (May-June), interocean (July-October), and meridional-wind (November-February) modes. Results show that El Nino-Southern Oscillation (ENSO) influences almost all the CS&GM coupled modes, except the transition mode, and that the North Atlantic Oscillation (NAO) in February has a strong negative correlation with the dipole and transition modes. The antisymmetric relationships found between the dipole mode and the NAO and ENSO indices confirm previous evidence about the competing remote forcings of both teleconnection patterns on the tropical North Atlantic variability. Precipitation in the CS and adjacent oceanic and land areas is sensitive to the wind-SST coupled variability modes from June to October. These modes seem to be strongly related to the interannual variability of the midsummer drought and the meridional migration of the intertropical convergence zone in the eastern Pacific. These findings may eventually lead to improving seasonal predictability in the CS&GM and surrounding land areas.Note
6 month embargo; published online: 20 June 2019ISSN
0894-8755EISSN
1520-0442Version
Final published versionSponsors
Programa Nacional de Posgrados de Calidad of the Consejo Nacional de Ciencia y Tecnologia of Mexico; CONACYT-SENER-Hidrocarburos Project [201441]ae974a485f413a2113503eed53cd6c53
10.1175/jcli-d-18-0573.1
