Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment
<p>Data assimilation has led to advancements in biogeochemical modelling and scientific understanding of the ocean. The recent operational availability of data from BGC-Argo (biogeochemical Argo) floats, which provide valuable insights into key vertical biogeochemical processes, stands to furt...
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Copernicus Publications
2021
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oai:doaj.org-article:c088f233659d46c19c78d201ea82138d2021-11-30T13:54:15ZDeep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment10.5194/bg-18-6147-20211726-41701726-4189https://doaj.org/article/c088f233659d46c19c78d201ea82138d2021-11-01T00:00:00Zhttps://bg.copernicus.org/articles/18/6147/2021/bg-18-6147-2021.pdfhttps://doaj.org/toc/1726-4170https://doaj.org/toc/1726-4189<p>Data assimilation has led to advancements in biogeochemical modelling and scientific understanding of the ocean. The recent operational availability of data from BGC-Argo (biogeochemical Argo) floats, which provide valuable insights into key vertical biogeochemical processes, stands to further improve biogeochemical modelling through assimilation schemes that include float observations in addition to traditionally assimilated satellite data. In the present work, we demonstrate the feasibility of joint multi-platform assimilation in realistic biogeochemical applications by presenting the results of 1-year simulations of Mediterranean Sea biogeochemistry. Different combinations of satellite chlorophyll data and BGC-Argo nitrate and chlorophyll data have been tested, and validation with respect to available independent non-assimilated and assimilated (before the assimilation) observations showed that assimilation of both satellite and float observations outperformed the assimilation of platforms considered individually. Moreover, the assimilation of BGC-Argo data impacted the vertical structure of nutrients and phytoplankton in terms of deep chlorophyll maximum depth, intensity, and nutricline depth. The outcomes of the model simulation assimilating both satellite data and BGC-Argo data provide a consistent picture of the basin-wide differences in vertical features associated with summer stratified conditions, describing a relatively high variability between the western and eastern Mediterranean, with thinner and shallower but intense deep chlorophyll maxima associated with steeper and narrower nutriclines in the western Mediterranean.</p>A. TeruzziG. BolzonL. FeudaleG. CossariniCopernicus PublicationsarticleEcologyQH540-549.5LifeQH501-531GeologyQE1-996.5ENBiogeosciences, Vol 18, Pp 6147-6166 (2021) |
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Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 |
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Ecology QH540-549.5 Life QH501-531 Geology QE1-996.5 A. Teruzzi G. Bolzon L. Feudale G. Cossarini Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment |
| description |
<p>Data assimilation has led to advancements in
biogeochemical modelling and scientific understanding of the ocean. The
recent operational availability of data from BGC-Argo (biogeochemical Argo) floats, which provide
valuable insights into key vertical biogeochemical processes, stands to
further improve biogeochemical modelling through assimilation schemes that
include float observations in addition to traditionally assimilated
satellite data. In the present work, we demonstrate the feasibility of joint
multi-platform assimilation in realistic biogeochemical applications by
presenting the results of 1-year simulations of Mediterranean Sea
biogeochemistry. Different combinations of satellite chlorophyll data and
BGC-Argo nitrate and chlorophyll data have been tested, and validation with
respect to available independent non-assimilated and assimilated (before the
assimilation) observations showed that assimilation of both satellite and
float observations outperformed the assimilation of platforms considered
individually. Moreover, the assimilation of BGC-Argo data impacted the
vertical structure of nutrients and phytoplankton in terms of deep
chlorophyll maximum depth, intensity, and nutricline depth. The outcomes of
the model simulation assimilating both satellite data and BGC-Argo data
provide a consistent picture of the basin-wide differences in vertical
features associated with summer stratified conditions, describing a
relatively high variability between the western and eastern Mediterranean,
with thinner and shallower but intense deep chlorophyll maxima associated
with steeper and narrower nutriclines in the western Mediterranean.</p> |
| format |
article |
| author |
A. Teruzzi G. Bolzon L. Feudale G. Cossarini |
| author_facet |
A. Teruzzi G. Bolzon L. Feudale G. Cossarini |
| author_sort |
A. Teruzzi |
| title |
Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment |
| title_short |
Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment |
| title_full |
Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment |
| title_fullStr |
Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment |
| title_full_unstemmed |
Deep chlorophyll maximum and nutricline in the Mediterranean Sea: emerging properties from a multi-platform assimilated biogeochemical model experiment |
| title_sort |
deep chlorophyll maximum and nutricline in the mediterranean sea: emerging properties from a multi-platform assimilated biogeochemical model experiment |
| publisher |
Copernicus Publications |
| publishDate |
2021 |
| url |
https://doaj.org/article/c088f233659d46c19c78d201ea82138d |
| work_keys_str_mv |
AT ateruzzi deepchlorophyllmaximumandnutriclineinthemediterraneanseaemergingpropertiesfromamultiplatformassimilatedbiogeochemicalmodelexperiment AT gbolzon deepchlorophyllmaximumandnutriclineinthemediterraneanseaemergingpropertiesfromamultiplatformassimilatedbiogeochemicalmodelexperiment AT lfeudale deepchlorophyllmaximumandnutriclineinthemediterraneanseaemergingpropertiesfromamultiplatformassimilatedbiogeochemicalmodelexperiment AT gcossarini deepchlorophyllmaximumandnutriclineinthemediterraneanseaemergingpropertiesfromamultiplatformassimilatedbiogeochemicalmodelexperiment |
| _version_ |
1718406529427701760 |