Application of ensemble-based techniques in fish stock assessment

TitleApplication of ensemble-based techniques in fish stock assessment
Publication TypeJournal Article
Year of Publication2001
AuthorsGrønnevik, R, Evensen, G
Date Published2001
KeywordsData assimilation, ensemble Kalman Filter, ensemble Kalman Smoother, Fish stock estimation

A basic fish-stock assessment system requires an integrated use of a model for the time evolution of a fish stock and information about the fish stock from catch data. Typical for common fish stock assess- ment systems has been the use of fairly simplistic data assimilation methodologies for the integration of observations with the dynamical models. On the other hand, there has been a fast development of assimilation techniques which can be used with highly nonlinear and complex dynamical models. In this paper some of these methods, which are based on Monte Carlo formulations, will be examined with a simple fish stock model. The methods used are the ensemble Kalman filter, the ensemble Kalman smoother and the simpler ensemble smoother.

Refereed DesignationUnknown
Author Address