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

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• 作者：Robin Waldman ; Samuel Somot ; Marine Herrmann ; Pierre Testor ; Claude Estournel ; Florence Sevault ; Louis Prieur ; Laurent Mortier ; Laurent Coppola ; Vincent Taillandier ; et al
• 刊名：Journal of Geophysical Research: Oceans
• 出版年：2016
• 出版时间：September 2016
• 年：2016
• 卷：121
• 期：9
• 页码：6696-6716
• 全文大小：2.8MB
• ISSN：2169-9291

文摘

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°E. The dense water volume ( σ0>29.11 kg/m3) is stable between summer 2012 ( 13.3±0.6  × 1013 m3) and winter 2013 ( 13.7±1.3  × 1013 m3). It increases dramatically in spring 2013 ( 17.7±0.9  × 1013 m3) due to an intense convective event, and it finally decreases rapidly in summer 2013 ( 15.1±0.6  × 1013 m3) due to restratification and spreading. We estimate an open-sea dense water formation (DWF) rate of 1.4±0.3 Sv between summer 2012 and spring 2013 over the studied area, extrapolated to 2.3±0.5 Sv 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±0.4 Sv. This study provides robust quantifications of deep convection during an exceptional event that will allow to evaluate numerical simulations.