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Representing Plankton Functional Types in Ocean General Circulation Models: Competition, Tradeoffs and Self-Organizing Architecture

Representing Plankton Functional Types in Ocean General Circulation Models: Competition, Tradeoffs and Self-Organizing Architecture
Representing Plankton Functional Types in Ocean General Circulation Models: Competition, Tradeoffs and Self-Organizing Architecture
Progress in marine ecosystem modeling has seen a proliferation of the number of state variables and processes represented, in order to realistically describe system dynamics and feedbacks associated with, for example, changing climate. Assigning realistic and robust values to the many associated model parameters has become increasingly difficult due to under determination through lack of data and sensitivity to chosen parameterizations. Complexity science is becoming ever more relevant in this regard, with novel approaches coming to the fore based on traits, trade-offs and the theory of complex adaptive systems. We describe one such approach in which a global ocean circulation model was seeded with many tens of plankton functional types (PFTs) whose physiological characteristics were assigned stochastically at the outset. After the simulation was set in motion, competition eliminated unfavorable PFTs, giving rise to a robust self-organizing model architecture as an emergent property of the system.
978-1-4244-6638-2
291-295
IEEE Computer Society
Anderson, Thomas R.
dfed062f-e747-48d3-b59e-2f5e57a8571d
Follows, Michael J.
12c723bc-f2f8-43f4-a309-bff6885b9c7c
Calinescu, R.
Paige, R.
Kwiatkowska, M.
Anderson, Thomas R.
dfed062f-e747-48d3-b59e-2f5e57a8571d
Follows, Michael J.
12c723bc-f2f8-43f4-a309-bff6885b9c7c
Calinescu, R.
Paige, R.
Kwiatkowska, M.

Anderson, Thomas R. and Follows, Michael J. (2010) Representing Plankton Functional Types in Ocean General Circulation Models: Competition, Tradeoffs and Self-Organizing Architecture. Calinescu, R., Paige, R. and Kwiatkowska, M. (eds.) In Proceedings 2010 15th IEEE International Conference on Engineering of Complex Computer Systems. IEEE Computer Society. pp. 291-295 . (doi:10.1109/ICECCS.2010.49).

Record type: Conference or Workshop Item (Paper)

Abstract

Progress in marine ecosystem modeling has seen a proliferation of the number of state variables and processes represented, in order to realistically describe system dynamics and feedbacks associated with, for example, changing climate. Assigning realistic and robust values to the many associated model parameters has become increasingly difficult due to under determination through lack of data and sensitivity to chosen parameterizations. Complexity science is becoming ever more relevant in this regard, with novel approaches coming to the fore based on traits, trade-offs and the theory of complex adaptive systems. We describe one such approach in which a global ocean circulation model was seeded with many tens of plankton functional types (PFTs) whose physiological characteristics were assigned stochastically at the outset. After the simulation was set in motion, competition eliminated unfavorable PFTs, giving rise to a robust self-organizing model architecture as an emergent property of the system.

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Published date: 2010
Venue - Dates: 15th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS 2010), 22-26 March 2010, United Kingdom, 2010-01-01
Organisations: Marine Systems Modelling

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Local EPrints ID: 169395
URI: https://eprints.soton.ac.uk/id/eprint/169395
ISBN: 978-1-4244-6638-2
PURE UUID: 6576d60f-9523-4287-a038-0721b32c2e18

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Date deposited: 14 Dec 2010 16:24
Last modified: 18 Jul 2017 12:19

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Contributors

Author: Thomas R. Anderson
Author: Michael J. Follows
Editor: R. Calinescu
Editor: R. Paige
Editor: M. Kwiatkowska

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