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(Article of periodic en Anglais - 2012)

Document title

Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting

Authors(s) and Affiliation(s)

ABRAHART R.J. (1) ; ANCTIL F. (2) ; COULIBALY P. (3) ; DAWSON C.W. (4) ; MOUNT N.J. (1) ; SEE L.M. (5) ; SHAMSELDIN A.Y. (6) ; SOLOMATINE D.P. (7) ; WILBY R.L. (4) ;
(1) Univ. of Nottingham, Nottingham, ROYAUME-UNI
(2) Univ., Laval, CANADA
(3) McMaster University, Hamilton, CANADA
(4) Univ., Loughborough, ROYAUME-UNI
(5) International Inst. of Applied Systems Analysis, AUTRICHE
(6) Univ., Auckland, NOUVELLE-ZELANDE
(7) UNESCO-IHE, and Univ. of Technology, Delft, PAYS-BAS

  • Univ., Bologna, ITALIE

Abstract

This paper traces two decades of neural network rainfall-runoff (NNRF) and streamflow modelling, collectively termed "river forecasting", providing an analysis of recent and ongoing computational hydrological modelling developments in NNRF, thereby shaping a coherent research agenda for NNRF over the next decade. It is clear that neural network river forecasting solutions will have limited appeal for operational purposes until confidence intervals can be attached to forecasts. Modular design, ensemble experiments, and hybridization with conventional hydrological models are yielding new tools for decision-making. The full potential for modelling complex hydrological systems, and for characterizing uncertainty, has yet to be realized.

Source

Article of periodic

published at : Progress in physical geography / ISSN 0309-1333 / CODEN PPGEEC

Editor : Sage Publications, London - ROYAUME-UNI (1977)

Millesime : 2012, vol. 36, no4 [pp. 480-513]

Bibliographic references : 10 p.

Collation : 2 fig., 3 tabl.

Language

Anglais

INIST-CNRS, Cote INIST : 14648 A

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1177/0309133312444943

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2013
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