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| Titel |
Local sensitivity analysis for compositional data with application to soil texture in hydrologic modelling |
| VerfasserIn |
L. Loosvelt, H. Vernieuwe, V. R. N. Pauwels, B. Baets, N. E. C. Verhoest |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 2 ; Nr. 17, no. 2 (2013-02-01), S.461-478 |
| Datensatznummer |
250017703
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| Publikation (Nr.) |
 copernicus.org/hess-17-461-2013.pdf |
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| Zusammenfassung |
| Compositional data, such as soil texture, are hard to deal with in the
geosciences as standard statistical methods are often inappropriate to
analyse this type of data. Especially in sensitivity analysis, the closed
character of the data is often ignored. To that end, we developed a method to
assess the local sensitivity of a model output with resect to a compositional model
input. We adapted the finite difference technique such that the different
parts of the input are perturbed simultaneously while the closed character of
the data is preserved. This method was applied to a hydrologic model and the
sensitivity of the simulated soil moisture content to local changes in soil
texture was assessed. Based on a high number of model runs, in which the soil
texture was varied across the entire texture triangle, we identified zones of
high sensitivity in the texture triangle. In such zones, the model output
uncertainty induced by the discrepancy between the scale of measurement and
the scale of model application, is advised to be reduced through additional
data collection. Furthermore, the sensitivity analysis provided more insight
into the hydrologic model behaviour as it revealed how the model sensitivity
is related to the shape of the soil moistureretention curve. |
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