HESS - Special Issue - Data-driven approaches, optimization and model integration: hydrological applications

HESS - Special Issue

Data-driven approaches, optimization and model integration: hydrological applications
Editor(s): R. Abrahart, L. See, D. Solomatine, and E. Toth

Neural network modelling of non-linear hydrological relationships R. J. Abrahart and L. M. See Hydrol. Earth Syst. Sci., 11, 1563-1579, 2007 Abstract Final Revised Paper (PDF, 1124 KB) Discussion Paper (HESSD)		20 Sep 2007
Soft combination of local models in a multi-objective framework F. Fenicia, D. P. Solomatine, H. H. G. Savenije, and P. Matgen Hydrol. Earth Syst. Sci., 11, 1797-1809, 2007 Abstract Final Revised Paper (PDF, 1176 KB) Discussion Paper (HESSD)		22 Nov 2007
Hydrological model coupling with ANNs R. G. Kamp and H. H. G. Savenije Hydrol. Earth Syst. Sci., 11, 1869-1881, 2007 Abstract Final Revised Paper (PDF, 1402 KB) Discussion Paper (HESSD)		04 Dec 2007
Prediction of littoral drift with artificial neural networks A. K. Singh, M. C. Deo, and V. Sanil Kumar Hydrol. Earth Syst. Sci., 12, 267-275, 2008 Abstract Final Revised Paper (PDF, 810 KB) Discussion Paper (HESSD)		21 Feb 2008
Comparison of data-driven methods for downscaling ensemble weather forecasts Xiaoli Liu, P. Coulibaly, and N. Evora Hydrol. Earth Syst. Sci., 12, 615-624, 2008 Abstract Final Revised Paper (PDF, 1323 KB) Discussion Paper (HESSD)		20 Mar 2008
Web services for distributed and interoperable hydro-information systems J. Horak, A. Orlik, and J. Stromsky Hydrol. Earth Syst. Sci., 12, 635-644, 2008 Abstract Final Revised Paper (PDF, 789 KB) Discussion Paper (HESSD)		25 Mar 2008