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Cited by 691

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How far can we go in distributed hydrological modelling?

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Beven*, K.·2001·Hydrology and Earth System Sciences

Abstract

Abstract. This paper considers distributed hydrological models in hydrology as an expression of a pragmatic realism. Some of the problems of distributed modelling are discussed including the problem of nonlinearity, the problem of scale, the problem of equifinality, the problem of uniqueness and the problem of uncertainty. A structure for the application of distributed modelling is suggested based on an uncertain or fuzzy landscape space to model space mapping. This is suggested as the basis for an Alternative Blueprint for distributed modelling in the form of an application methodology. This Alternative Blueprint is scientific in that it allows for the formulation of testable hypotheses. It focuses attention on the prior evaluation of models in terms of physical realism and on the value of data in model rejection. Finally, some unresolved questions that distributed modelling must address in the future are outlined, together with a vision for distributed modelling as a means of learning about places.

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Metadata

Authors
Beven*, K.
Venue
Hydrology and Earth System Sciences
Published
2001-03-31
Volume
5
Issue
1
Pages
1-12
ISSN
  • 1027-5606 (ISSN-L)
  • 1607-7938
OpenAlex
W2149071528
Cited by
691
References
0
FWCI
40.22
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: How far can we go in distributed hydrological modelling? https://app.cochat.ai/papers/10.5194/hess-5-1-2001
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Beven*, K. (2001). How far can we go in distributed hydrological modelling? Hydrology and Earth System Sciences. https://doi.org/10.5194/hess-5-1-2001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.