Current data assimilation modelling for oil spill contingency planning

G.J.M. Copeland, W. Thiam-Yew

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)


A method has been developed to assimilate, in near real-time (15 min updates), previous termcurrentnext term meter previous termdatanext term collected by Shell in its operations on the Brunei Shelf Sea. The results from the software are depth mean previous termcurrentnext term flow fields that take into account the requirements of mass and momentum conservation. The previous termdata assimilationnext term method minimises, in a least squares sense, a cost function that describes the differences between the measured previous termdatanext term and the model counterparts. The minimisation is subject to the weak constraint that the residuals of the shallow water equations are also minimised. Based on previous termcurrent datanext term collected over one year, the previous termdata assimilationnext term method was also used to calculate a set of 209 'typical' flow fields representing the most frequent flow conditions in that year. Continuous trajectories of hypothetical previous termspillsnext term were computed by integrating particle tracks forward through the year-long previous termcurrentnext term time series along with the corresponding wind previous term At each time step, the most appropriate 'typical' flow that best represents the measured flow was selected and scaled for use in the integration. The trajectories were used to assess risks of previous termoilnext term landfall.
Original languageEnglish
Pages (from-to)142-155
Number of pages13
JournalEnvironmental Modelling and Software
Issue number2
Publication statusPublished - 2004


  • data assimilation
  • ocean flows
  • environmental engineering
  • oil spills
  • pollution


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