iGen 0.1: a program for the automated generation of models and parameterisations

Complex physical systems can often be simulated using very high resolution models but this is not always practical because of computational restrictions. In this case the model must be simplified or parameterised in order to make it computationally tractable. A parameterised model is created using a...

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Main Authors: D. F. Tang, S. Dobbie
Format: Article
Language:English
Published: Copernicus Publications 2011-09-01
Series:Geoscientific Model Development
Online Access:http://www.geosci-model-dev.net/4/785/2011/gmd-4-785-2011.pdf
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spelling doaj-5c0e452532ee49f498d2bdfdeb80edf92020-11-24T20:57:03ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032011-09-014378579510.5194/gmd-4-785-2011iGen 0.1: a program for the automated generation of models and parameterisationsD. F. TangS. DobbieComplex physical systems can often be simulated using very high resolution models but this is not always practical because of computational restrictions. In this case the model must be simplified or parameterised in order to make it computationally tractable. A parameterised model is created using an ad-hoc selection of techniques which range from the formal to the purely intuitive, and as a result it is very difficult to objectively quantify the fidelity of the model to the physical system. It is rare that a parameterised model can be formally shown to simulate a physical system to within some bounded error. Here we introduce a new approach to parameterising models which allows error to be formally bounded. The approach makes use of a newly developed computer program, which we call iGen, that analyses the source code of a high-resolution model and formally derives a much faster, parameterised model that closely approximates the original, reporting bounds on the error introduced by any approximations. These error bounds can be used to formally justify conclusions about a physical system based on observations of the model's behaviour. Using increasingly complex physical systems as examples we illustrate that iGen has the ability to produce parameterisations that run typically orders of magnitude faster than the underlying, high-resolution models from which they are derived.http://www.geosci-model-dev.net/4/785/2011/gmd-4-785-2011.pdf
collection DOAJ
language English
format Article
sources DOAJ
author D. F. Tang
S. Dobbie
spellingShingle D. F. Tang
S. Dobbie
iGen 0.1: a program for the automated generation of models and parameterisations
Geoscientific Model Development
author_facet D. F. Tang
S. Dobbie
author_sort D. F. Tang
title iGen 0.1: a program for the automated generation of models and parameterisations
title_short iGen 0.1: a program for the automated generation of models and parameterisations
title_full iGen 0.1: a program for the automated generation of models and parameterisations
title_fullStr iGen 0.1: a program for the automated generation of models and parameterisations
title_full_unstemmed iGen 0.1: a program for the automated generation of models and parameterisations
title_sort igen 0.1: a program for the automated generation of models and parameterisations
publisher Copernicus Publications
series Geoscientific Model Development
issn 1991-959X
1991-9603
publishDate 2011-09-01
description Complex physical systems can often be simulated using very high resolution models but this is not always practical because of computational restrictions. In this case the model must be simplified or parameterised in order to make it computationally tractable. A parameterised model is created using an ad-hoc selection of techniques which range from the formal to the purely intuitive, and as a result it is very difficult to objectively quantify the fidelity of the model to the physical system. It is rare that a parameterised model can be formally shown to simulate a physical system to within some bounded error. Here we introduce a new approach to parameterising models which allows error to be formally bounded. The approach makes use of a newly developed computer program, which we call iGen, that analyses the source code of a high-resolution model and formally derives a much faster, parameterised model that closely approximates the original, reporting bounds on the error introduced by any approximations. These error bounds can be used to formally justify conclusions about a physical system based on observations of the model's behaviour. Using increasingly complex physical systems as examples we illustrate that iGen has the ability to produce parameterisations that run typically orders of magnitude faster than the underlying, high-resolution models from which they are derived.
url http://www.geosci-model-dev.net/4/785/2011/gmd-4-785-2011.pdf
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