Robust multi-objective calibration strategies - chances for improving flood forecasting

[1]  D. Donoho,et al.  Breakdown Properties of Location Estimates Based on Halfspace Depth and Projected Outlyingness , 1992 .

[2]  Soroosh Sorooshian,et al.  Toward improved calibration of hydrologic models: Multiple and noncommensurable measures of information , 1998 .

[3]  Benjamin Renard,et al.  Evaluation of statistical models for forecast errors from the HBV model , 2010 .

[4]  Keith Beven,et al.  The future of distributed models: model calibration and uncertainty prediction. , 1992 .

[5]  George Kuczera,et al.  Bayesian total error analysis for hydrological models: preliminary evaluation using multi-site catchment rainfall data , 2007 .

[6]  M. Borga,et al.  Flash flood warning based on rainfall thresholds and soil moisture conditions: An assessment for gauged and ungauged basins , 2008 .

[7]  Terence Soule,et al.  Breeding swarms: a GA/PSO hybrid , 2005, GECCO '05.

[8]  G. Kuczera,et al.  Parameter estimation and model identification for stochastic models of annual hydrological data: Is the observed record long enough? , 2006 .

[9]  Massimiliano Zappa,et al.  Multiple-response verification of a distributed hydrologial model at different spatial scales , 2002 .

[10]  W. Green,et al.  Studies on Soil Phyics. , 1911, The Journal of Agricultural Science.

[11]  Jasper A Vrugt,et al.  Improved evolutionary optimization from genetically adaptive multimethod search , 2007, Proceedings of the National Academy of Sciences.

[12]  A. Baltensweiler,et al.  Spatially distributed hydrotope-based modelling of evapotranspiration and runoff in mountainous basins , 1999 .

[13]  Hubert H. G. Savenije,et al.  A comparison of alternative multiobjective calibration strategies for hydrological modeling , 2007 .

[14]  J. Tukey Mathematics and the Picturing of Data , 1975 .

[15]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[16]  Carlos A. Coello Coello,et al.  Handling multiple objectives with particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[17]  Johannes Cullmann,et al.  Online flood forecasting in fast responding catchments on the basis of a synthesis of artificial neural networks and process models , 2006 .

[18]  S. Sorooshian,et al.  Effective and efficient algorithm for multiobjective optimization of hydrologic models , 2003 .

[19]  Hajime Kita,et al.  Multi-Objective Optimization by Means of the Thermodynamical Genetic Algorithm , 1996, PPSN.

[20]  Hoshin Vijai Gupta,et al.  Model identification for hydrological forecasting under uncertainty , 2005 .

[21]  Pat Morin,et al.  Output-sensitive algorithms for Tukey depth and related problems , 2008, Stat. Comput..

[22]  Luis A. Bastidas,et al.  Multiobjective particle swarm optimization for parameter estimation in hydrology , 2006 .

[23]  Ching-Shih Tsou,et al.  Multi-objective inventory planning using MOPSO and TOPSIS , 2008, Expert Syst. Appl..

[24]  Johannes Cullmann,et al.  Towards a more representative parametrisation of hydrologic models via synthesizing the strengths of Particle Swarm Optimisation and Robust Parameter Estimation , 2011 .

[25]  J. Wösten,et al.  Development and use of a database of hydraulic properties of European soils , 1999 .

[26]  Henrik Madsen,et al.  Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. , 2000 .

[27]  Jens Grundmann Analyse und Simulation von Unsicherheiten in der flächendifferenzierten Niederschlags-Abfluss-Modellierung , 2008 .

[28]  Lothar Thiele,et al.  Quality Assessment of Pareto Set Approximations , 2008, Multiobjective Optimization.

[29]  S. Sorooshian,et al.  A Shuffled Complex Evolution Metropolis algorithm for optimization and uncertainty assessment of hydrologic model parameters , 2002 .

[30]  Roman Krzysztofowicz,et al.  Transformation and normalization of variates with specified distributions , 1997 .

[31]  Regina Y. Liu,et al.  Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications, Proceedings of a DIMACS Workshop, New Brunswick, New Jersey, USA, May 14-16, 2003 , 2006, Data Depth: Robust Multivariate Analysis, Computational Geometry and Applications.

[32]  Jörg Schulla,et al.  Hydrologische Modellierung von Flussgebieten zur Abschätzung der Folgen von Klimaänderungen , 1997 .

[33]  G. Ampt,et al.  Studies on Soil Physics: Part II — The Permeability of an Ideal Soil to Air and Water , 1912, The Journal of Agricultural Science.

[34]  T. Krauße,et al.  Identification of hydrological model parameters for flood forecasting using data depth measures , 2011 .

[35]  A. Bárdossy,et al.  Robust estimation of hydrological model parameters , 2008 .