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Untangling the Mistral and Seasonal Atmospheric Forcing Driving Deep Convection in the Gulf of Lion: 1993–2013

  • Université PSL
  • Weizmann Institute of Science Israel

Résultats de recherche: Contribution à un journalArticleRevue par des pairs

4 Citations (Scopus)

Résumé

Deep convection occurs periodically in the Gulf of Lion, in the northwestern Mediterranean Sea, driven by the seasonal atmospheric change and Mistral winds. To determine the variability and drivers of both forcings, multiple 1 year ocean simulations were run, spanning from 1993 to 2013. Two sets of simulations were performed: a control and seasonal set, the first forced by unfiltered atmospheric forcing and the other by filtered forcing. The filtered forcing was bandpass filtered, retaining the seasonal and intraday aspects but removing the high frequency phenomena. Comparing the two sets allows for distinguishing the effects of the high frequency component of the Mistral on the ocean response. During the preconditioning phase, the seasonal forcing was found to be the main destratifying process, removing on average 46% of the stratification needed for deep convection to occur, versus the 28% removed by the Mistral. Despite this, each forcing triggered deep convection in roughly half of the deep-convection events. Sensible and latent heat fluxes were found to be the main drivers of the seasonal forcing during deep-convection years, removing 0.17 and 0.43 m2s−2 of stratification, respectively. They were themselves driven by increased wind speeds, believed to be the low frequency signal of the Mistral, as more Mistral events occur during deep-convection winters (34% vs. 29% of the preconditioning period days). An evolving seasonal forcing in a changing climate may have significant effects on the future deep convection cycle of the western Mediterranean Sea.

langue originaleAnglais
Numéro d'articlee2022JC019245
journalJournal of Geophysical Research: Oceans
Volume129
Numéro de publication7
Les DOIs
étatPublié - 1 juil. 2024
Modification externeOui

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