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. Data assimilation has led to advancements inbiogeochemical modelling and scientific understanding of the ocean. Therecent operational availability of data from BGC-Argo (biogeochemical Argo) floats, which providevaluable insights into key vertical biogeochemical processes, stands tofurther improve biogeochemical modelling through assimilation schemes thatinclude float observations in addition to traditionally assimilatedsatellite data. In the present work, we demonstrate the feasibility of jointmulti-platform assimilation in realistic biogeochemical applications bypresenting the results of 1-year simulations of Mediterranean Seabiogeochemistry. Different combinations of satellite chlorophyll data andBGC-Argo nitrate and chlorophyll data have been tested, and validation withrespect to available independent non-assimilated and assimilated (before theassimilation) observations showed that assimilation of both satellite andfloat observations outperformed the assimilation of platforms consideredindividually. Moreover, the assimilation of BGC-Argo data impacted thevertical structure of nutrients and phytoplankton in terms of deepchlorophyll maximum depth, intensity, and nutricline depth. The outcomes ofthe model simulation assimilating both satellite data and BGC-Argo dataprovide a consistent picture of the basin-wide differences in verticalfeatures associated with summer stratified conditions, describing arelatively high variability between the western and eastern Mediterranean,with thinner and shallower but intense deep chlorophyll maxima associatedwith steeper and narrower nutriclines in the western Mediterranean.

biogeosciences

Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment