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| Titel |
iGen 0.1: a program for the automated generation of models and parameterisations |
| VerfasserIn |
D. F. Tang, S. Dobbie |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 4, no. 3 ; Nr. 4, no. 3 (2011-09-16), S.785-795 |
| Datensatznummer |
250001787
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| Publikation (Nr.) |
 copernicus.org/gmd-4-785-2011.pdf |
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| Zusammenfassung |
| 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. |
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