Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock
This paper combines the elegant technique of Data Assimilation and a Monte Carlo procedure to analyze time series data for the North East Arctic Cod stock (NEACs). A simple nonlinear dynamic resource model is calibrated to time series data using the variational adjoint parameter estimation method an...
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ftnorgehandelshs:oai:openaccess.nhh.no:11250/166516 2023-05-15T14:30:22+02:00 Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock Ussif, Al-Amin M. Sandal, Leif Kristoffer Steinshamn, Stein Ivar 2003-01 360055 bytes application/pdf http://hdl.handle.net/11250/166516 eng eng SNF/Centre for Fisheries Economics Working Paper 2002:82 Discussion Paper 2002:15 urn:issn:1503-2140 http://hdl.handle.net/11250/166516 Working paper 2003 ftnorgehandelshs 2021-10-19T20:05:54Z This paper combines the elegant technique of Data Assimilation and a Monte Carlo procedure to analyze time series data for the North East Arctic Cod stock (NEACs). A simple nonlinear dynamic resource model is calibrated to time series data using the variational adjoint parameter estimation method and the Monte Carlo technique. By exploring the efficient features of the variational adjoint technique coupled with the Monte Carlo method, optimal or best parameter estimates with their error statistics are obtained. Thereafter, the weak constraint formulation resulting in a stochastic ordinary differential equation (SODE) is used to find an improved estimate of the dynamical variable, i.e. the stock. Empirical results show that the average fishing mortality imposed on the NEACs is about 16% more than the intrinsic growth rate of the biological species. Report Arctic cod Arctic NHH Brage Open institutional repository (Norwegian School of Economics) Arctic |
institution |
Open Polar |
collection |
NHH Brage Open institutional repository (Norwegian School of Economics) |
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ftnorgehandelshs |
language |
English |
description |
This paper combines the elegant technique of Data Assimilation and a Monte Carlo procedure to analyze time series data for the North East Arctic Cod stock (NEACs). A simple nonlinear dynamic resource model is calibrated to time series data using the variational adjoint parameter estimation method and the Monte Carlo technique. By exploring the efficient features of the variational adjoint technique coupled with the Monte Carlo method, optimal or best parameter estimates with their error statistics are obtained. Thereafter, the weak constraint formulation resulting in a stochastic ordinary differential equation (SODE) is used to find an improved estimate of the dynamical variable, i.e. the stock. Empirical results show that the average fishing mortality imposed on the NEACs is about 16% more than the intrinsic growth rate of the biological species. |
format |
Report |
author |
Ussif, Al-Amin M. Sandal, Leif Kristoffer Steinshamn, Stein Ivar |
spellingShingle |
Ussif, Al-Amin M. Sandal, Leif Kristoffer Steinshamn, Stein Ivar Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock |
author_facet |
Ussif, Al-Amin M. Sandal, Leif Kristoffer Steinshamn, Stein Ivar |
author_sort |
Ussif, Al-Amin M. |
title |
Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock |
title_short |
Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock |
title_full |
Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock |
title_fullStr |
Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock |
title_full_unstemmed |
Assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the North East Arctic cod stock |
title_sort |
assimilation of time series data into a dynamic bioeconomic fisheries model : an application to the north east arctic cod stock |
publisher |
SNF/Centre for Fisheries Economics |
publishDate |
2003 |
url |
http://hdl.handle.net/11250/166516 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic cod Arctic |
genre_facet |
Arctic cod Arctic |
op_relation |
Working Paper 2002:82 Discussion Paper 2002:15 urn:issn:1503-2140 http://hdl.handle.net/11250/166516 |
_version_ |
1766304218545651712 |