Data assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites

Handle URI:
http://hdl.handle.net/10754/605182
Title:
Data assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites
Authors:
Kalaroni, S.; Tsiaras, K.; Petihakis, G.; Hoteit, Ibrahim ( 0000-0002-3751-4393 ) ; Economou-Amilli, A.; G.Triantafyllou
Abstract:
A new approach for processing the remote sensing chlorophyll-α (Chl-α) before assimilating into an ecosystem model is applied in two contrasting, regarding productivity and nutrients availability, Mediterranean sites: the DYFAMED and POSEIDON E1-M3A fixed point open ocean observatories. The new approach derives optically weighted depth-distributed Chl-α profiles from satellite data based on the model simulated Chl-α vertical distribution and light attenuation coefficient. We use the 1D version of the operational ecological 3D POSEIDON model, based on the European Regional Seas Ecosystem Model (ERSEM). The required hydrodynamic properties are obtained (off-line) from the POSEIDON operational 3D hydrodynamic Mediterranean basin scale model. The data assimilation scheme is the Singular Evolutive Interpolated Kalman (SEIK) filter, the ensemble variant of the Singular Evolutive Extended Kalman (SEEK) filter. The performance of the proposed assimilation approach was evaluated against the Chl-α satellite data and the seasonal averages of available in-situ data for nitrate, phosphate and Chl-α. An improvement of the model simulated near-surface and subsurface maximum Chl-α concentrations is obtained, especially at the DYFAMED site. Model nitrate is improved with assimilation, particularly with the new approach assimilating depth-distributed Chl-α, while model phosphate is slightly worse after assimilation. Additional sensitivity experiments were performed, showing a better performance of the new approach under different scenarios of model Chl-α deviation from pseudo-observations of surface Chl-α.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Data assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites 2016 Journal of Marine Systems
Publisher:
Elsevier BV
Journal:
Journal of Marine Systems
Issue Date:
12-Apr-2016
DOI:
10.1016/j.jmarsys.2016.03.018
Type:
Article
ISSN:
09247963
Sponsors:
This work was supported by the EU projects OPEC and SEAMAN. The OPEC project has received funding from the European Union's Seventh Framework Program (FP7/2007-2013) under grant agreement n° 283291. The SEAMAN project [(Spatially resolved Ecosystem Models and their Application to Marine Management) — ‘Towards integrated European marine research strategy and programs — SEAS-ERA’ (ERAC-CT2009-249552)] is financially supported by the General Secretariat of Research and Technology, Greece within the framework of the EU ERA-Net initiative (7th Framework Program). We thank the HCMR POSEIDON system team for providing the M3A data set as well as Eleni Dafnomili and Snezana Zivanovic for the analysis of nutrients. We also thank Dionysios Raitsos for providing the SeaWiFS data.
Additional Links:
http://linkinghub.elsevier.com/retrieve/pii/S0924796316300343
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorKalaroni, S.en
dc.contributor.authorTsiaras, K.en
dc.contributor.authorPetihakis, G.en
dc.contributor.authorHoteit, Ibrahimen
dc.contributor.authorEconomou-Amilli, A.en
dc.contributor.authorG.Triantafyllouen
dc.date.accessioned2016-04-13T13:04:02Zen
dc.date.available2016-04-13T13:04:02Zen
dc.date.issued2016-04-12en
dc.identifier.citationData assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sites 2016 Journal of Marine Systemsen
dc.identifier.issn09247963en
dc.identifier.doi10.1016/j.jmarsys.2016.03.018en
dc.identifier.urihttp://hdl.handle.net/10754/605182en
dc.description.abstractA new approach for processing the remote sensing chlorophyll-α (Chl-α) before assimilating into an ecosystem model is applied in two contrasting, regarding productivity and nutrients availability, Mediterranean sites: the DYFAMED and POSEIDON E1-M3A fixed point open ocean observatories. The new approach derives optically weighted depth-distributed Chl-α profiles from satellite data based on the model simulated Chl-α vertical distribution and light attenuation coefficient. We use the 1D version of the operational ecological 3D POSEIDON model, based on the European Regional Seas Ecosystem Model (ERSEM). The required hydrodynamic properties are obtained (off-line) from the POSEIDON operational 3D hydrodynamic Mediterranean basin scale model. The data assimilation scheme is the Singular Evolutive Interpolated Kalman (SEIK) filter, the ensemble variant of the Singular Evolutive Extended Kalman (SEEK) filter. The performance of the proposed assimilation approach was evaluated against the Chl-α satellite data and the seasonal averages of available in-situ data for nitrate, phosphate and Chl-α. An improvement of the model simulated near-surface and subsurface maximum Chl-α concentrations is obtained, especially at the DYFAMED site. Model nitrate is improved with assimilation, particularly with the new approach assimilating depth-distributed Chl-α, while model phosphate is slightly worse after assimilation. Additional sensitivity experiments were performed, showing a better performance of the new approach under different scenarios of model Chl-α deviation from pseudo-observations of surface Chl-α.en
dc.description.sponsorshipThis work was supported by the EU projects OPEC and SEAMAN. The OPEC project has received funding from the European Union's Seventh Framework Program (FP7/2007-2013) under grant agreement n° 283291. The SEAMAN project [(Spatially resolved Ecosystem Models and their Application to Marine Management) — ‘Towards integrated European marine research strategy and programs — SEAS-ERA’ (ERAC-CT2009-249552)] is financially supported by the General Secretariat of Research and Technology, Greece within the framework of the EU ERA-Net initiative (7th Framework Program). We thank the HCMR POSEIDON system team for providing the M3A data set as well as Eleni Dafnomili and Snezana Zivanovic for the analysis of nutrients. We also thank Dionysios Raitsos for providing the SeaWiFS data.en
dc.language.isoenen
dc.publisherElsevier BVen
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0924796316300343en
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Marine Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Marine Systems, 12 April 2016. DOI: 10.1016/j.jmarsys.2016.03.018en
dc.subjectdata assimilationen
dc.subjectecosystem modelen
dc.subjectensemble Kalman filteren
dc.subjectMediterranean Seaen
dc.subjectchlorophyllen
dc.subjectocean colouren
dc.titleData assimilation of depth-distributed satellite chlorophyll-α in two Mediterranean contrasting sitesen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalJournal of Marine Systemsen
dc.eprint.versionPost-printen
dc.contributor.institutionHellenic Centre for Marine Research, P.O. Box 712 Anavyssos, 19013 Attica, Greeceen
dc.contributor.institutionHellenic Centre for Marine Research, P.O. Box 2214 Iraklio, 71003, Crete, Greeceen
dc.contributor.institutionUniversity of Athens, Faculty of Biology, Department of Ecology & Systematics, Panepistimioupolis, Athens 15784, Greeceen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorHoteit, Ibrahimen
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