Standard
Uniqueness of place and non-uniqueness of models in assessing predictive uncertainty. /
Beven, K. Computational methods in water resources - Volume 2 - Computational methods,surface water systems and hydrology. ed. / L.R. Bentley; J.F. Sykes; C.A. Brebbia; W.G. Gray; G.F. Pinder; L.R. Bentley; J.F. Sykes; C.A. Brebbia; W.G. Gray; G.F. Pinder. A. A. Balkema, 2000. p. 1085-1091.
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Beven, K 2000,
Uniqueness of place and non-uniqueness of models in assessing predictive uncertainty. in LR Bentley, JF Sykes, CA Brebbia, WG Gray, GF Pinder, LR Bentley, JF Sykes, CA Brebbia, WG Gray & GF Pinder (eds),
Computational methods in water resources - Volume 2 - Computational methods,surface water systems and hydrology. A. A. Balkema, pp. 1085-1091, Computational Methods in Water Resources, Calgary, Canada,
25/06/00.
APA
Beven, K. (2000).
Uniqueness of place and non-uniqueness of models in assessing predictive uncertainty. In L. R. Bentley, J. F. Sykes, C. A. Brebbia, W. G. Gray, G. F. Pinder, L. R. Bentley, J. F. Sykes, C. A. Brebbia, W. G. Gray, & G. F. Pinder (Eds.),
Computational methods in water resources - Volume 2 - Computational methods,surface water systems and hydrology (pp. 1085-1091). A. A. Balkema.
Vancouver
Beven K.
Uniqueness of place and non-uniqueness of models in assessing predictive uncertainty. In Bentley LR, Sykes JF, Brebbia CA, Gray WG, Pinder GF, Bentley LR, Sykes JF, Brebbia CA, Gray WG, Pinder GF, editors, Computational methods in water resources - Volume 2 - Computational methods,surface water systems and hydrology. A. A. Balkema. 2000. p. 1085-1091
Author
Bibtex
@inproceedings{5323a2f6b6d24fc29c1e5dcc773ff317,
title = "Uniqueness of place and non-uniqueness of models in assessing predictive uncertainty",
abstract = "This paper addresses the problem of why hydrological models often do not give very good results in applications to specific locations with unique characteristics. The implications of uniqueness of place are considered and an approach based on an uncertain or fuzzy mapping of the landscape into a model space is suggested as a way of using field data to condition the predictive uncertainty of models. One consequence of such an approach is the use of hypothesis testing as a way of rejecting some model structures. This allows the semblance of a scientific approach to be restored to modelling activities.",
author = "K. Beven",
year = "2000",
month = jan,
day = "1",
language = "English",
isbn = "9058091252",
pages = "1085--1091",
editor = "L.R. Bentley and J.F. Sykes and C.A. Brebbia and W.G. Gray and G.F. Pinder and L.R. Bentley and J.F. Sykes and C.A. Brebbia and W.G. Gray and G.F. Pinder",
booktitle = "Computational methods in water resources - Volume 2 - Computational methods,surface water systems and hydrology",
publisher = "A. A. Balkema",
note = "Computational Methods in Water Resources ; Conference date: 25-06-2000 Through 29-06-2000",
}
RIS
TY - GEN
T1 - Uniqueness of place and non-uniqueness of models in assessing predictive uncertainty
AU - Beven, K.
PY - 2000/1/1
Y1 - 2000/1/1
N2 - This paper addresses the problem of why hydrological models often do not give very good results in applications to specific locations with unique characteristics. The implications of uniqueness of place are considered and an approach based on an uncertain or fuzzy mapping of the landscape into a model space is suggested as a way of using field data to condition the predictive uncertainty of models. One consequence of such an approach is the use of hypothesis testing as a way of rejecting some model structures. This allows the semblance of a scientific approach to be restored to modelling activities.
AB - This paper addresses the problem of why hydrological models often do not give very good results in applications to specific locations with unique characteristics. The implications of uniqueness of place are considered and an approach based on an uncertain or fuzzy mapping of the landscape into a model space is suggested as a way of using field data to condition the predictive uncertainty of models. One consequence of such an approach is the use of hypothesis testing as a way of rejecting some model structures. This allows the semblance of a scientific approach to be restored to modelling activities.
M3 - Conference contribution/Paper
AN - SCOPUS:0033668976
SN - 9058091252
SP - 1085
EP - 1091
BT - Computational methods in water resources - Volume 2 - Computational methods,surface water systems and hydrology
A2 - Bentley, L.R.
A2 - Sykes, J.F.
A2 - Brebbia, C.A.
A2 - Gray, W.G.
A2 - Pinder, G.F.
A2 - Bentley, L.R.
A2 - Sykes, J.F.
A2 - Brebbia, C.A.
A2 - Gray, W.G.
A2 - Pinder, G.F.
PB - A. A. Balkema
T2 - Computational Methods in Water Resources
Y2 - 25 June 2000 through 29 June 2000
ER -
