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Volumn 39, Issue 5, 2003, Pages 1269-1279

Ann output updating of lumped conceptual rainfall/runoff forecasting models

Author keywords

Artificial neural networks; Model output updating; Modeling; Rainfall runoff; Surface water hydrology

Indexed keywords

MAPS; NEURAL NETWORKS; RAIN; STREAM FLOW; WEATHER FORECASTING;

EID: 0242407051     PISSN: 1093474X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1752-1688.2003.tb03708.x     Document Type: Article
Times cited : (38)

References (40)
  • 1
    • 0035452259 scopus 로고    scopus 로고
    • Impact of Imperfect Rainfall Knowledge on the Efficiency and the Parameters of Watershed Models
    • Andréassian, V., C. Perrin, C. Michel, I. Usart-Sanchez, and J. Lavabre, 2001. Impact of Imperfect Rainfall Knowledge on the Efficiency and the Parameters of Watershed Models. Journal of Hydrology 250:206-223.
    • (2001) Journal of Hydrology , vol.250 , pp. 206-223
    • Andréassian, V.1    Perrin, C.2    Michel, C.3    Usart-Sanchez, I.4    Lavabre, J.5
  • 5
    • 0018441920 scopus 로고
    • A Physically Based Variable Contributing Area Model of Basin Hydrology
    • Beven, K. J. and M. J. Kirkby, 1979. A Physically Based Variable Contributing Area Model of Basin Hydrology. Hydrological Sciences Bulletin 24(1):43-69.
    • (1979) Hydrological Sciences Bulletin , vol.24 , Issue.1 , pp. 43-69
    • Beven, K.J.1    Kirkby, M.J.2
  • 7
    • 0022875513 scopus 로고
    • A Semi-Distributed Adaptive Model for Real-Time Flood Forecasting
    • Corradini, C., F. Melone, and L. Ubertini, 1986. A Semi-Distributed Adaptive Model for Real-Time Flood Forecasting. Water Resources Bulletin 22:1031-1038.
    • (1986) Water Resources Bulletin , vol.22 , pp. 1031-1038
    • Corradini, C.1    Melone, F.2    Ubertini, L.3
  • 8
    • 0032829433 scopus 로고    scopus 로고
    • Prévision Hydrologique par Réseaux de Neurones Artificiels: É tat de l'Art
    • Coulibaly, P., F. Anctil, and B. Bobée, 1999. Prévision Hydrologique par Réseaux de Neurones Artificiels: É tat de l'Art. Canadian Journal of Civil Engineering 26:293-304.
    • (1999) Canadian Journal of Civil Engineering , vol.26 , pp. 293-304
    • Coulibaly, P.1    Anctil, F.2    Bobée, B.3
  • 9
    • 0024861871 scopus 로고
    • Approximation by Superposition of a Sigmoidal Function
    • Cybenko, G., 1989. Approximation by Superposition of a Sigmoidal Function. Mathematics of Control Signals and Systems 2:303-314.
    • (1989) Mathematics of Control Signals and Systems , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 10
    • 0031440284 scopus 로고    scopus 로고
    • Adaptive Use of a Conceptual Model for Real Time Flood Forecasting
    • Da Ros, D. and M. Borga, 1997. Adaptive Use of a Conceptual Model for Real Time Flood Forecasting. Nordic Hydrology 28:169-188.
    • (1997) Nordic Hydrology , vol.28 , pp. 169-188
    • Da Ros, D.1    Borga, M.2
  • 13
    • 0028543366 scopus 로고
    • Training Feedforward Networks with the Marquardt Algorithm
    • Hagan, M. T. and M. Menhaj, 1994. Training Feedforward Networks With the Marquardt Algorithm. IEEE Transactions on Neural Networks 5:989-993.
    • (1994) IEEE Transactions on Neural Networks , vol.5 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.2
  • 14
    • 0024880831 scopus 로고
    • Multilayer Feedforward Networks Are Universal Approximators
    • Hornik, K., M. Stinchcombe, and H. White, 1989. Multilayer Feedforward Networks Are Universal Approximators. Neural Networks 2:359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 15
    • 0033100606 scopus 로고    scopus 로고
    • A Method to Determine the Required Number of Neural-Network Training Repetitions
    • Iyer, M. S. and R. R. Rhinehart, 1999. A Method to Determine the Required Number of Neural-Network Training Repetitions. IEEE Transactions on Neural Networks 10(2):427-432.
    • (1999) IEEE Transactions on Neural Networks , vol.10 , Issue.2 , pp. 427-432
    • Iyer, M.S.1    Rhinehart, R.R.2
  • 16
    • 0025573113 scopus 로고
    • Computation of the Instantaneous Unit Hydrograph and Identifiable Component Flows with Application to Two Small Upland Catchments
    • Jakeman, A. J., I. G. Littlewood, and P. G. Whitehead, 1990. Computation of the Instantaneous Unit Hydrograph and Identifiable Component Flows With Application to Two Small Upland Catchments. Journal of Hydrology 117:275-300.
    • (1990) Journal of Hydrology , vol.117 , pp. 275-300
    • Jakeman, A.J.1    Littlewood, I.G.2    Whitehead, P.G.3
  • 17
    • 85024429815 scopus 로고
    • A New Approach to Linear Filtering and Prediction Problem
    • Kalman, R. E., 1960. A New Approach to Linear Filtering and Prediction Problem. Journal of Basic Engineering 82D:35-45.
    • (1960) Journal of Basic Engineering , vol.82 D , pp. 35-45
    • Kalman, R.E.1
  • 19
    • 0019227948 scopus 로고
    • Real-Time Forecasting with a Conceptual Hydrologic Model: 2. Applications and Results
    • Kitanidis, P. K. and R. L. Bras, 1980. Real-Time Forecasting With a Conceptual Hydrologic Model: 2. Applications and Results. Water Resources Research 16:1034-1044.
    • (1980) Water Resources Research , vol.16 , pp. 1034-1044
    • Kitanidis, P.K.1    Bras, R.L.2
  • 20
    • 0031395252 scopus 로고    scopus 로고
    • Comparaison de Deux Procedures d'Amélioration des Prévisions à Court Terme des Apports Naturels d'un Modèle Déterministe
    • Lauzon, N., S. Birikundavyi, C. Gignac, and J. Rouselle, 1997. Comparaison de Deux Procedures d'Amélioration des Prévisions à Court Terme des Apports Naturels d'un Modèle Déterministe. Canadian Journal of Civil Engineering 24:723-735.
    • (1997) Canadian Journal of Civil Engineering , vol.24 , pp. 723-735
    • Lauzon, N.1    Birikundavyi, S.2    Gignac, C.3    Rouselle, J.4
  • 21
    • 0032051460 scopus 로고    scopus 로고
    • Application of the Kalman Filter to the Nash Model
    • Lee, Y. H. and V. P. Singh, 1998. Application of the Kalman Filter to the Nash Model. Hydrological Processes 12:755-767.
    • (1998) Hydrological Processes , vol.12 , pp. 755-767
    • Lee, Y.H.1    Singh, V.P.2
  • 22
    • 0023331258 scopus 로고
    • An Introduction to Computing with Neural Nets
    • Lippmann, R. P., 1987. An Introduction to Computing With Neural Nets. IEEE ASSP Magazine, pp. 4-22.
    • (1987) IEEE ASSP Magazine , pp. 4-22
    • Lippmann, R.P.1
  • 24
    • 0000524131 scopus 로고
    • A New Method of Rainfall-Runoff Modelling and Its Applications in Catchment Hydrology
    • P. Zannetti (Editor). Computational Mechanics Publications, Southampton
    • Littlewood, I. G. and A. J. Jakeman, 1994. A New Method of Rainfall-Runoff Modelling and Its Applications in Catchment Hydrology. In: Environmental Modelling, P. Zannetti (Editor). Computational Mechanics Publications, Southampton, Vol. 2, pp. 143-171.
    • (1994) Environmental Modelling , vol.2 , pp. 143-171
    • Littlewood, I.G.1    Jakeman, A.J.2
  • 25
    • 0001025418 scopus 로고
    • Bayesian Interpolation
    • MacKay, D. J. C., 1992. Bayesian Interpolation. Neural Computation 4:415-447.
    • (1992) Neural Computation , vol.4 , pp. 415-447
    • MacKay, D.J.C.1
  • 26
    • 0033957764 scopus 로고    scopus 로고
    • Neural Networks for Prediction and Forecasting of Water Resources Variables: Review of Modelling Issues and Applications
    • Maier, H. R. and G. C. Dandy, 2000. Neural Networks for Prediction and Forecasting of Water Resources Variables: Review of Modelling Issues and Applications, Environmental Modelling and Software 15:101-124.
    • (2000) Environmental Modelling and Software , vol.15 , pp. 101-124
    • Maier, H.R.1    Dandy, G.C.2
  • 28
    • 0017955229 scopus 로고
    • Sensitivity of Optimized Parameters in Watershed Models
    • Mein, R. G. and B. M. Brown, 1978. Sensitivity of Optimized Parameters in Watershed Models. Water Resources Research 14(2):299-303.
    • (1978) Water Resources Research , vol.14 , Issue.2 , pp. 299-303
    • Mein, R.G.1    Brown, B.M.2
  • 29
    • 0014776873 scopus 로고
    • River Flow Forecasting Through Conceptual Models: Part I. A Discussion of Principles
    • Nash, J. E. and J. V. Sutcliffe, 1970. River Flow Forecasting Through Conceptual Models: Part I. A Discussion of Principles. Journal of Hydrology 10:282-290.
    • (1970) Journal of Hydrology , vol.10 , pp. 282-290
    • Nash, J.E.1    Sutcliffe, J.V.2
  • 30
    • 0019657296 scopus 로고
    • Adaptative Hydrological Forecasting: A Review
    • O'Connell, P. E. and R. T. Clarke, 1981. Adaptative Hydrological Forecasting: A Review. Hydrological Sciences Bulletin 26(2): 179-205.
    • (1981) Hydrological Sciences Bulletin , vol.26 , Issue.2 , pp. 179-205
    • O'Connell, P.E.1    Clarke, R.T.2
  • 31
    • 84957790817 scopus 로고
    • Natural Evaporation from Open Water, Bare Soil and Grass
    • Penman, H. L., 1948. Natural Evaporation From Open Water, Bare Soil and Grass. Proceedings of the Royal Society of London A193:120-145.
    • (1948) Proceedings of the Royal Society of London , vol.A193 , pp. 120-145
    • Penman, H.L.1
  • 32
    • 0035961496 scopus 로고    scopus 로고
    • Does a Large Number of Parameters Enhance Model Performance? Comparative Assessment of Common Catchment Model Structures on 429 Catchments
    • Perrin, C., C. Michel, and V. Andréassian, 2001. Does a Large Number of Parameters Enhance Model Performance? Comparative Assessment of Common Catchment Model Structures on 429 Catchments. Journal of Hydrology 242:275-301.
    • (2001) Journal of Hydrology , vol.242 , pp. 275-301
    • Perrin, C.1    Michel, C.2    Andréassian, V.3
  • 33
    • 0032193792 scopus 로고    scopus 로고
    • An Improved Methodology for Predicting the Daily Hydrologic Response of Ungauged Catchments
    • Post, D. A., J. A. Jones, and G. E. Grant, 1998. An Improved Methodology for Predicting the Daily Hydrologic Response of Ungauged Catchments. Environmental Modelling and Software 13:395-403.
    • (1998) Environmental Modelling and Software , vol.13 , pp. 395-403
    • Post, D.A.1    Jones, J.A.2    Grant, G.E.3
  • 34
    • 0031436317 scopus 로고    scopus 로고
    • Validation and Intercomparison of Different Updating Procedures for Real-Time Forecasting
    • Refsgaard, J. C., 1997. Validation and Intercomparison of Different Updating Procedures for Real-Time Forecasting. Nordic Hydrology 28:65-84.
    • (1997) Nordic Hydrology , vol.28 , pp. 65-84
    • Refsgaard, J.C.1
  • 35
    • 0031284786 scopus 로고    scopus 로고
    • A Combined Deterministic and Self-Adaptive Stochastic Algorithm for Streamflow Forecasting with Application to Catchments of the Upper Murray Basin, Australia
    • Schreider, S. Y., A. J. Jakeman, B. G. Dyer, and R. I. Francis, 1997. A Combined Deterministic and Self-Adaptive Stochastic Algorithm for Streamflow Forecasting With Application to Catchments of the Upper Murray Basin, Australia. Environmental Modelling and Software 12(1):93-104.
    • (1997) Environmental Modelling and Software , vol.12 , Issue.1 , pp. 93-104
    • Schreider, S.Y.1    Jakeman, A.J.2    Dyer, B.G.3    Francis, R.I.4
  • 36
    • 0035101863 scopus 로고    scopus 로고
    • An Application of the Kalman Filtering Technique for Streamflow Forecasting in the Upper Murray Basin
    • Schreider, S. Y., P. C. Young, and A. J. Jakeman, 2001. An Application of the Kalman Filtering Technique for Streamflow Forecasting in the Upper Murray Basin. Mathematical and Computer Modelling 33:733-743.
    • (2001) Mathematical and Computer Modelling , vol.33 , pp. 733-743
    • Schreider, S.Y.1    Young, P.C.2    Jakeman, A.J.3
  • 40
    • 0034253886 scopus 로고    scopus 로고
    • Flood Forecasting with a Watershed Model: A New Method of Parameter Updating
    • Yang, X. and C. Michel, 2000. Flood Forecasting With a Watershed Model: A New Method of Parameter Updating. Hydrological Sciences Journal 45(4):537-546.
    • (2000) Hydrological Sciences Journal , vol.45 , Issue.4 , pp. 537-546
    • Yang, X.1    Michel, C.2


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