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...
Main Authors: | , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | unknown |
Subjects: | |
Online Access: | http://hdl.handle.net/10.1007/s10818-004-4143-6 |
id |
ftrepec:oai:RePEc:kap:jbioec:v:7:y:2005:i:2:p:179-195 |
---|---|
record_format |
openpolar |
spelling |
ftrepec:oai:RePEc:kap:jbioec:v:7:y:2005:i:2:p:179-195 2024-04-14T08:05:48+00:00 Assimilation of Time Series Data into a Dynamic Bioeconomic Fisheries Model: An Application to the North East Arctic Cod Stock Al-Amin Ussif Leif Sandal Stein Steinshamn http://hdl.handle.net/10.1007/s10818-004-4143-6 unknown http://hdl.handle.net/10.1007/s10818-004-4143-6 article ftrepec 2024-03-19T10:35:21Z 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. Copyright Springer 2005 dynamic resource model, Inverse methods, Monte Carlo, variational adjoint parameter estimation, weak constraint, C15, Q22 Article in Journal/Newspaper Arctic cod Arctic RePEc (Research Papers in Economics) Arctic |
institution |
Open Polar |
collection |
RePEc (Research Papers in Economics) |
op_collection_id |
ftrepec |
language |
unknown |
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. Copyright Springer 2005 dynamic resource model, Inverse methods, Monte Carlo, variational adjoint parameter estimation, weak constraint, C15, Q22 |
format |
Article in Journal/Newspaper |
author |
Al-Amin Ussif Leif Sandal Stein Steinshamn |
spellingShingle |
Al-Amin Ussif Leif Sandal Stein Steinshamn Assimilation of Time Series Data into a Dynamic Bioeconomic Fisheries Model: An Application to the North East Arctic Cod Stock |
author_facet |
Al-Amin Ussif Leif Sandal Stein Steinshamn |
author_sort |
Al-Amin Ussif |
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 |
url |
http://hdl.handle.net/10.1007/s10818-004-4143-6 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic cod Arctic |
genre_facet |
Arctic cod Arctic |
op_relation |
http://hdl.handle.net/10.1007/s10818-004-4143-6 |
_version_ |
1796302414920286208 |