Data assimilation into oceanic ecosystem models: a critical review, some comparisons, and recommendations

نویسنده

  • Meric Srokosz
چکیده

This report aims to critically review the work carried out to-date on the assimilation of data into ocean ecosystem and coupled bio-physical models. The review is prompted by the newly available ocean colour data from SeaWiFS and OCTS, and their potential use for data assimilation to improve both the models and their predictive capabilities. In addition, some initial results on the comparison of three data assimilation methods (adjoint, simulated annealing, Markov chain Monte Carlo) are summarised. The comparison has been carried out using a twin experiment approach with a simple predator-prey model, in order to focus on the assimilation techniques rather than the complexities of the model. From the review and comparison conclusions are drawn regarding the state of data assimilation into oceanic ecosystem models, and recommendations made about possible future work on this problem.

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تاریخ انتشار 1999