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| Titel |
A framework for integrated, multi-scale model construction and uncertainty assessment |
| VerfasserIn |
Oliver Schmitz, Jean-Luc de Kok, Kor de Jong, Derek Karssenberg |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250109138
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| Publikation (Nr.) |
 EGU/EGU2015-9018.pdf |
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| Zusammenfassung |
| The component-based software development practice promotes the construction of
self-contained modules with defined input and output interfaces. In environmental modelling,
we can adopt this development practice to construct more generic, reusable component
models. Here, modellers need to implement a state transition function to describe a
specific environmental process, and to specify the required external inputs and
parameters to simulate the change of real-world processes over time. Depending on
the usage of a component model, such as standalone execution or as part of an
integrated model, the source of the external input needs to be specified. The required
external inputs can thereby be obtained from disk by a file operation in case of a
standalone execution; or inputs can be obtained from other component models, when the
component model is used in an integrated model. Using different notations to specify
input requirements, however, requires a modification of the state transition function
per application case of a component model and therefore would reduce its generic
nature.
We propose the function object notation as a means to specify input sources of a
component model and as a uniform syntax to express input requirements. At component
initialisation, the function objects can be parametrised with different external sources. In
addition to a uniform syntax, the function object notation allows modellers to specify a
request-reply execution flow of the coupled models. We extended the request-reply execution
approach to allow for Monte Carlo simulations, and implemented a software framework
prototype in Python using the PCRaster module (http://www.pcraster.eu) for field-based
modelling.
We demonstrate the usage of the framework by building an exemplary integrated model
by coupling components simulating land use change, hydrology and eucalyptus tree growth at
different temporal discretisations to obtain the probability for bioenergy plantations in a
hypothetical catchment. |
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