Literature DB >> 30348766

Remote subsurface ocean temperature as a predictor of Atlantic hurricane activity.

Enrico Scoccimarro1, Alessio Bellucci2, Andrea Storto2, Silvio Gualdi2, Simona Masina2, Antonio Navarra2.   

Abstract

Predicting North Atlantic hurricane activity months in advance is of great potential societal significance. The ocean temperature, both in terms of North Atlantic/tropical averages and upper ocean heat content, is demonstrated to be a significant predictor. To investigate the relationship between the thermal state of the Atlantic Ocean and the tropical cyclone (TC) activity in terms of accumulated cyclone energy (ACE), we use observed 1980-2015 TC records and a 1/4° resolution global ocean reanalysis. This paper highlights the nonlocal effect associated with eastern Atlantic Ocean temperature, via a reduction of wind shear, and provides additional predictive skill of TC activity, when considering subsurface temperature instead of sea surface temperature (SST) only. The most active TC seasons occur for lower than normal wind shear conditions over the main development region, which is also driven by reduced trade wind strength. A significant step toward operationally reliable TC activity predictions is gained after including upper ocean mean temperatures over the eastern Atlantic domain. Remote effects are found to provide potential skill of ACE up to 3 months in advance. These results indicate that consideration of the upper 40-m ocean average temperature improves upon a prediction of September Atlantic hurricane activity using only SST.

Keywords:  Atlantic Ocean; hurricanes; seasonal predictions; subsurface ocean; tropical cyclones

Mesh:

Year:  2018        PMID: 30348766      PMCID: PMC6233117          DOI: 10.1073/pnas.1810755115

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  1 in total

1.  Eastern Pacific tropical cyclones intensified by El Niño delivery of subsurface ocean heat.

Authors:  F-F Jin; J Boucharel; I-I Lin
Journal:  Nature       Date:  2014-12-04       Impact factor: 49.962

  1 in total

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