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| Titel |
HESS Opinions "Topography driven conceptual modelling (FLEX-Topo)" |
| VerfasserIn |
H. H. G. Savenije |
| 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 ; 14, no. 12 ; Nr. 14, no. 12 (2010-12-23), S.2681-2692 |
| Datensatznummer |
250012540
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| Publikation (Nr.) |
 copernicus.org/hess-14-2681-2010.pdf |
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| Zusammenfassung |
| Heterogeneity and complexity of hydrological processes offer substantial
challenges to the hydrological modeller. Some hydrologists try to tackle
this problem by introducing more and more detail in their models, or by
setting-up more and more complicated models starting from basic principles
at the smallest possible level. As we know, this reductionist approach leads
to ever higher levels of equifinality and predictive uncertainty. On the
other hand, simple, lumped and parsimonious models may be too simple to be
realistic or representative of the dominant hydrological processes. In this
commentary, a new approach is proposed that tries to find the middle
way between complex distributed and simple lumped modelling approaches. Here
we try to find the right level of simplification while avoiding
over-simplification. Paraphrasing Einstein, the maxim is: make a model as
simple as possible, but not simpler than that. The approach presented is
process based, but not physically based in the traditional sense. Instead,
it is based on a conceptual representation of the dominant physical
processes in certain key elements of the landscape. The essence of the
approach is that the model structure is made dependent on a limited number
of landscape classes in which the topography is the main driver, but which
can include geological, geomorphological or land-use classification. These
classes are then represented by lumped conceptual models that act in
parallel. The advantage of this approach over a fully distributed
conceptualisation is that it retains maximum simplicity while taking into
account observable landscape characteristics. |
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