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In this paper we investigate an adjoint data assimilation technique for fisheries data analysis. This technique is described for general models and applied to the model underlying the well known Virtual Population Analysis. It provides a systematic and efficient procedure to obtain stock parameters from a time series of catch-by-age and effort data that can be extended in several directions as desired. The procedure has been implemented in a C++ program which performs well on data from the Pacific
halibut fishery (Hippoglossus stenolepis). Attention is also paid to the sensitivity of the estimated parameters to various sources of error.
- Item number: AK-SG-98-01ag
- Year: 1998
- DOI: https://doi.org/10.4027/fsam.1998.33