Managing uncertainty in hydrological models using complementary models
暂无分享,去创建一个
[1] A. W. Minns,et al. Artificial neural networks as rainfall-runoff models , 1996 .
[2] Keith Beven,et al. The future of distributed models: model calibration and uncertainty prediction. , 1992 .
[3] M. G. Anderson,et al. DATA-BASED MECHANISTIC MODELLING AND VALIDATION OF RAINFALL-FLOW PROCESSES , 2001 .
[4] Asaad Y. Shamseldin,et al. A non-linear neural network technique for updating of river flow forecasts , 2001 .
[5] M. Franchini,et al. Global optimization techniques for the calibration of conceptual rainfall-runoff models , 1998 .
[6] Isabella Morlini,et al. Artificial neural network estimation of rainfall intensity from radar observations , 2000 .
[7] C. Michel,et al. Flood forecasting with a watershed model: a new method of parameter updating , 2000 .
[8] E. Todini. The ARNO rainfall-runoff model , 1996 .
[9] D. Solomatine,et al. Model trees as an alternative to neural networks in rainfall—runoff modelling , 2003 .
[10] George Kuczera,et al. The quest for more powerful validation of conceptual catchment models , 1997 .
[11] Jens Christian Refsgaard,et al. Validation and Intercomparison of Different Updating Procedures for Real-Time Forecasting , 1997 .
[12] Peter Young,et al. Data-based Mechanistic Modelling and Validation of Rainfall-flow Processes , 2001 .
[13] Keith Beven,et al. Dynamic real-time prediction of flood inundation probabilities , 1998 .
[14] V. Singh,et al. Application of the Kalman filter to the Nash model , 1998 .
[15] Demetris F. Lekkas,et al. Improved non-linear transfer function and neural network methods of flow routing for real-time forecasting , 2001 .
[16] D. P. Solomatine,et al. Two Strategies of Adaptive Cluster Covering with Descent and Their Comparison to Other Algorithms , 1999, J. Glob. Optim..
[17] S. Uhlenbrook,et al. Prediction uncertainty of conceptual rainfall-runoff models caused by problems in identifying model parameters and structure , 1999 .
[18] Christian W. Dawson,et al. An artificial neural network approach to rainfall-runoff modelling , 1998 .
[19] U. C. Kothyari,et al. Artificial neural networks for daily rainfall—runoff modelling , 2002 .
[20] Charles M. Bachmann,et al. Neural Networks and Their Applications , 1994 .
[21] M. Franchini,et al. Comparative analysis of several conceptual rainfall-runoff models , 1991 .
[22] X. R. Liu,et al. The Xinanjiang model. , 1995 .
[23] M. Franchini. Use of a genetic algorithm combined with a local search method for the automatic calibration of conceptual rainfall-runoff models , 1996 .
[24] J. Nash,et al. River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .
[25] A. Shamseldin,et al. Methods for combining the outputs of different rainfall–runoff models , 1997 .
[26] P. E. O'connell,et al. River flow forecasting through conceptual models part III - The Ray catchment at Grendon Underwood , 1970 .
[27] Marco Franchini,et al. Physical interpretation and sensitivity analysis of the TOPMODEL , 1996 .
[28] A. Soldati,et al. Artificial neural network approach to flood forecasting in the River Arno , 2003 .