4.7 Article

Estimating dense water volume and its evolution for the year 2012-2013 in the Northwestern Mediterranean Sea: An observing system simulation experiment approach

Journal

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
Volume 121, Issue 9, Pages 6696-6716

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1002/2016JC011694

Keywords

ocean deep convection; Mediterranean Sea; OSSE

Categories

Funding

  1. HyMeX program through INSU-MISTRALS support and through the ASICS-MED project [ANR-2012-BS06-003]

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The Northwestern Mediterranean (NWMed) Sea includes one of the best observed ocean deep convection sites in the World. An observing system simulation experiment (OSSE) is developed to provide a methodology for estimating observing network errors. It is applied to quantify dense water volumes in the NWMed during 2012-2013 with their observation error from MOOSE network. Results from the OSSE show low spatiotemporal sampling errors, which confirms MOOSE network ability to measure dense waters. However, results are highly sensitive to instrumental stability. The dense water volume is then estimated in observations from four ship cruises between summers 2012 and 2013. A large seasonal cycle is found, maximal in spring 2013 and dominated by the area west of 6.5 degrees E. The dense water volume (sigma 0>29.11kg/m3) is stable between summer 2012 (13.30.6x1013m3) and winter 2013 (13.71.3x1013m3). It increases dramatically in spring 2013 (17.70.9x1013m3) due to an intense convective event, and it finally decreases rapidly in summer 2013 (15.10.6x1013m3) due to restratification and spreading. We estimate an open-sea dense water formation (DWF) rate of 1.4 +/- 0.3Sv between summer 2012 and spring 2013 over the studied area, extrapolated to 2.3 +/- 0.5Sv over the whole NWMed Sea and for the optimal timing. This is to our knowledge the highest measured DWF rate, suggesting winter 2013 was exceptionally convective. The observed restratification rate between spring and summer 2013 is -0.8 +/- 0.4Sv. This study provides robust quantifications of deep convection during an exceptional event that will allow to evaluate numerical simulations.

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