From integration to fusion: The challenges ahead
From integration to fusion: The challenges ahead
The increasing complexity of numerical modelling systems in environmental sciences has led to the development of different supporting architectures. Integrated environmental modelling can be undertaken by building a 'super model' simulating many processes or by using a generic coupling framework to dynamically link distinct separate models during run-time. The application of systemic knowledge management to integrated environmental modelling indicates that we are at the onset of the norming stage, where gains will be made from consolidation in the range of standards and approaches that have proliferated in recent years. Consolidation is proposed in six topics: metadata for data and models; supporting information; Software-as-a-service; linking (or interface) technologies; diagnostic or reasoning tools; and the portrayal and understanding of integrated modelling. Consolidation in these topics will develop model fusion: the ability to link models, with easy access to information about the models, interface standards such as OpenMI and software tools to make integration easier. For this to happen, an open software architecture will be crucial, the use of open source software is likely to increase and a community must develop that values openness and the sharing of models and data as much as its publications and citation records.
35-54
The Geological Society of London
Sutherland, J.
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Townend, I. H.
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Harpham, Q. K.
e59f2a1e-fdeb-4d8b-8b7e-6bcc6d72dbd1
Pearce, G. R.
8424ff0a-ee93-42d3-a42d-0eb5a35ea81f
1 January 2017
Sutherland, J.
0ec3c535-a5bd-4b27-93c6-468a28aa06f5
Townend, I. H.
f72e5186-cae8-41fd-8712-d5746f78328e
Harpham, Q. K.
e59f2a1e-fdeb-4d8b-8b7e-6bcc6d72dbd1
Pearce, G. R.
8424ff0a-ee93-42d3-a42d-0eb5a35ea81f
Sutherland, J., Townend, I. H., Harpham, Q. K. and Pearce, G. R.
(2017)
From integration to fusion: The challenges ahead.
In,
Riddick, A. T., Kessler, H. and Giles, J. R. A.
(eds.)
Integrated Environmental Modelling to Solve Real World Problems: Methods, Vision and Challenges.
1 ed.
London.
The Geological Society of London, .
(doi:10.1144/SP408.6).
Record type:
Book Section
Abstract
The increasing complexity of numerical modelling systems in environmental sciences has led to the development of different supporting architectures. Integrated environmental modelling can be undertaken by building a 'super model' simulating many processes or by using a generic coupling framework to dynamically link distinct separate models during run-time. The application of systemic knowledge management to integrated environmental modelling indicates that we are at the onset of the norming stage, where gains will be made from consolidation in the range of standards and approaches that have proliferated in recent years. Consolidation is proposed in six topics: metadata for data and models; supporting information; Software-as-a-service; linking (or interface) technologies; diagnostic or reasoning tools; and the portrayal and understanding of integrated modelling. Consolidation in these topics will develop model fusion: the ability to link models, with easy access to information about the models, interface standards such as OpenMI and software tools to make integration easier. For this to happen, an open software architecture will be crucial, the use of open source software is likely to increase and a community must develop that values openness and the sharing of models and data as much as its publications and citation records.
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e-pub ahead of print date: 1 December 2014
Published date: 1 January 2017
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Publisher Copyright:
© The Authors 2017.
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Local EPrints ID: 470509
URI: http://eprints.soton.ac.uk/id/eprint/470509
PURE UUID: d92c316f-e7b4-4dec-baa4-fa7ae0cb2fc3
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Date deposited: 12 Oct 2022 16:35
Last modified: 17 Mar 2024 02:54
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Contributors
Author:
J. Sutherland
Author:
Q. K. Harpham
Author:
G. R. Pearce
Editor:
A. T. Riddick
Editor:
H. Kessler
Editor:
J. R. A. Giles
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