The use of generalised likelihood measures for uncertainty estimation in high-order models of environmental systems (Q2712142)
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scientific article
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | The use of generalised likelihood measures for uncertainty estimation in high-order models of environmental systems |
scientific article |
Statements
7 November 2001
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mathematical modelling
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system identification
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environmental modelling
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generalized likelihood uncertainty estimation
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likelihood measure
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ecology
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Monte Carlo methods
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The use of generalised likelihood measures for uncertainty estimation in high-order models of environmental systems (English)
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The authors consider strategies for environmental modelling. One presents a review of the fields (hydrological, hydraulic, geochemical modelling) where such modelling appears, as well as mathematical difficulties concerned with this process (the problem of incommensurability, problems in optimization etc.). In what follows, the authors consider the GLUE (Generalized Likelihood Uncertainty Estimation) methodology in which a large sample of model realizations is generated by Monte Carlo simulation. The way of choosing a suitable likelihood measure is analyzed. Besides, a summary of applications of the GLUE methodology is presented. Some applications are studied, the model of rainfall-runoff processes of the Maimai (New Zealand) catchment among them.NEWLINENEWLINEFor the entire collection see [Zbl 0958.00020].
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