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Dalton Medal Lecture: How far can we go in distributed hydrological modelling?

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Dalton Medal Lecture: How far can we go in distributed hydrological modelling? / Beven, K. J.
In: Hydrology and Earth System Sciences, Vol. 5, No. 1, 2001, p. 1-12.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Beven, KJ 2001, 'Dalton Medal Lecture: How far can we go in distributed hydrological modelling?', Hydrology and Earth System Sciences, vol. 5, no. 1, pp. 1-12.

APA

Beven, K. J. (2001). Dalton Medal Lecture: How far can we go in distributed hydrological modelling? Hydrology and Earth System Sciences, 5(1), 1-12.

Vancouver

Beven KJ. Dalton Medal Lecture: How far can we go in distributed hydrological modelling? Hydrology and Earth System Sciences. 2001;5(1):1-12.

Author

Beven, K. J. / Dalton Medal Lecture: How far can we go in distributed hydrological modelling?. In: Hydrology and Earth System Sciences. 2001 ; Vol. 5, No. 1. pp. 1-12.

Bibtex

@article{64d7049e159742c795056ec46b2dd500,
title = "Dalton Medal Lecture: How far can we go in distributed hydrological modelling?",
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 focusses 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 are outlined that distributed modelling must address in the future together with a vision for distributed modelling as a means of learning about places.",
keywords = "distributed hydrological modelling, uncertainty, model calibration, parameters",
author = "Beven, {K. J.}",
year = "2001",
language = "English",
volume = "5",
pages = "1--12",
journal = "Hydrology and Earth System Sciences",
issn = "1027-5606",
publisher = "Copernicus Gesellschaft mbH",
number = "1",

}

RIS

TY - JOUR

T1 - Dalton Medal Lecture: How far can we go in distributed hydrological modelling?

AU - Beven, K. J.

PY - 2001

Y1 - 2001

N2 - 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 focusses 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 are outlined that distributed modelling must address in the future together with a vision for distributed modelling as a means of learning about places.

AB - 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 focusses 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 are outlined that distributed modelling must address in the future together with a vision for distributed modelling as a means of learning about places.

KW - distributed hydrological modelling

KW - uncertainty

KW - model calibration

KW - parameters

M3 - Journal article

VL - 5

SP - 1

EP - 12

JO - Hydrology and Earth System Sciences

JF - Hydrology and Earth System Sciences

SN - 1027-5606

IS - 1

ER -