Abstract
Abstract : This study focused on the development of Empirical Orthogonal Function (EOF) techniques that can be used to determine data needs for marine ecosystem models. The EOF structures allow determination of the primary interconnections of the ecosystem, which in turn, allow insight into the processes that need to be well represented in the forward model developed for a particular ecosystem. The method was tested with a model developed to simulate time development of lower trophic levels observed in an enclosed microcosm. For this system, the EOF model improved data reproducibility even when a reduced number of eigenstructures was used. The results imply that the model and data were inconsistent. The EOF approach used in this study potentially provides a powerful method for evaluating data%model consistency, and for determining data needs for marine ecosystem models, which are important factors in combining data and forward models in a data assimilative mode. -
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