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| Titel |
Impact of soil hydraulic parameter uncertainty on soil moisture modelling and its implications with respect to data assimilation |
| VerfasserIn |
Lien Loosvelt, Valentijn Pauwels, Wim Cornelis, Gabrielle De Lannoy, Niko Verhoest |
| Konferenz |
EGU General Assembly 2010
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 12 (2010) |
| Datensatznummer |
250033441
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| Zusammenfassung |
| A methodology is presented for quantifying the uncertainty on soil hydraulic parameters
arising from within soil class variability and for assessing its impact on soil moisture
modelling. This method differs from former research because (i) the construction of the
parameter uncertainty does not rely on experimental data but on soil hydraulic parameters
predicted with pedotransfer functions, (ii) all moments of the parameter probability
distribution function are preserved and (iii) the dependence between the soil hydraulic
parameters is taken into account. Results show that the soil hydraulic model parameters are
not normally distributed and that this parameter uncertainty results in non-normal
distributions of the modelled soil moisture. Especially when the soil is very dry, the deviation
from the normal distribution will hamper the optimality of classical linear filters for data
assimilation. As an extension of this research, we have shown that the central point of a soil
class is useful for representing the soil hydraulic parameters corresponding to the average
hydrologic behaviour. |
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