Towards a data assimilation system for the Cretan Sea ecosystem using a simplified Kalman filter

Ibrahim Hoteit*, Triantafyllou George, Petihakis George

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

With the aim of using data assimilation techniques for state estimation in marine ecosystem models, a singular evolutive extended Kalman (SEEK) filter was used to assimilate real in situ data in a water column marine coupled physical-biogeochemical model describing the Cretan sea ecosystem. The biogeochemistry of the ecosystem is described by the European Regional Sea Ecosystem Model (ERSEM), while the Princeton Ocean Model (POM) describes the physical forcing. In the SEEK filter, the error statistics are parameterised by means of a suitable set of empirical orthogonal functions (EOFs). Numerical experiments were conducted to evaluate the performance of this assimilation system. In this context, sensitivity studies to the observations are also presented and discussed.

Original languageEnglish (US)
Pages (from-to)159-171
Number of pages13
JournalJournal of Marine Systems
Volume45
Issue number3-4
DOIs
StatePublished - Apr 1 2004

Keywords

  • Cretan Sea
  • Data assimilation
  • Ecosystem modelling
  • SEEK filter

ASJC Scopus subject areas

  • Oceanography
  • Ecology, Evolution, Behavior and Systematics
  • Aquatic Science

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