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Increasing model efficiency by dynamically changing model representations
journal contribution
posted on 2023-05-17, 10:35 authored by Gray, R, Wotherspoon, SThere are a number of strategies to deal with modelling large complex systems such as large marine ecosystems. These systems are often comprised of many submodels, each contributing to the overall trajectory of the system. The balance between the acceptable modelling error and the run-time often dictates the form of these submodels. There may be scope to improve the position of this balance point in both regards by structuring models so that submodels may change their algorithmic representation and state space in response to their local state and the state of the model as a whole.
This paper uses an example system consisting of a single population of animals which periodically encounters a diffuse contaminant in a localised region as an example of such a system, and discusses the key issues that arise from the approach.History
Publication title
Environmental Modelling and SoftwareVolume
30Pagination
115-122ISSN
1364-8152Department/School
Institute for Marine and Antarctic StudiesPublisher
Elsevier Sci LtdPlace of publication
The Boulevard, Langford Lane, Kidlington, Oxford, England, Oxon, Ox5 1GbRights statement
The definitive version is available at http://www.sciencedirect.comRepository Status
- Restricted