Multi-method global sensitivity analysis (MMGSA) for modelling floodplain <I>hydrological processes</I> Export

@article{citeulike:1622141, abstract = {When studying hydrological processes with a numerical model, global sensitivity analysis (GSA) is essential if one is to understand the impact of model parameters and model formulation on results. However, different definitions of sensitivity can lead to a difference in the ranking of importance of the different model factors. Here we combine a fuzzy performance function with different methods of calculating global sensitivity to perform a multi-method global sensitivity analysis (MMGSA). We use an application of a finite element subsurface flow model (ESTEL-2D) on a flood inundation event on a floodplain of the River Severn to illustrate this new methodology. We demonstrate the utility of the method for model understanding and show how the prediction of state variables, such as Darcian velocity vectors, can be affected by such a MMGSA. This paper is a first attempt to use GSA with a numerically intensive hydrological model. Copyright {\copyright} 2007 John Wiley \& Sons, Ltd.}, address = {Department of Geography, King's College London, Strand, London WC2R 2LS, UK; European Centre for Medium Range Weather Forecasts, Reading RG2 9AX, UK; Department of Environmental Science, Lancaster University, Lancaster LA1 4YQ, United Kingdom; School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK}, author = {Cloke, H. L. and Pappenberger, F. and Renaud, J. P.}, citeulike-article-id = {1622141}, citeulike-linkout-0 = {http://dx.doi.org/10.1002/hyp.6734}, citeulike-linkout-1 = {http://www3.interscience.wiley.com/cgi-bin/abstract/116311507/ABSTRACT}, doi = {10.1002/hyp.6734}, journal = {Hydrological Processes}, keywords = {estel, hydrology, modelling, uncertainty}, number = {9999}, pages = {n/a+}, posted-at = {2007-09-05 10:10:12}, priority = {0}, title = {Multi-method global sensitivity analysis (MMGSA) for modelling floodplain <I>hydrological processes</I>}, url = {http://dx.doi.org/10.1002/hyp.6734}, volume = {9999}, year = {2007} }

TY - JOUR ID - citeulike:1622141 L3 - citeulike-article-id:1622141 N2 - When studying hydrological processes with a numerical model, global sensitivity analysis (GSA) is essential if one is to understand the impact of model parameters and model formulation on results. However, different definitions of sensitivity can lead to a difference in the ranking of importance of the different model factors. Here we combine a fuzzy performance function with different methods of calculating global sensitivity to perform a multi-method global sensitivity analysis (MMGSA). We use an application of a finite element subsurface flow model (ESTEL-2D) on a flood inundation event on a floodplain of the River Severn to illustrate this new methodology. We demonstrate the utility of the method for model understanding and show how the prediction of state variables, such as Darcian velocity vectors, can be affected by such a MMGSA. This paper is a first attempt to use GSA with a numerically intensive hydrological model. Copyright © 2007 John Wiley & Sons, Ltd. IS - 9999 JF - Hydrological Processes AD - Department of Geography, King's College London, Strand, London WC2R 2LS, UK; European Centre for Medium Range Weather Forecasts, Reading RG2 9AX, UK; Department of Environmental Science, Lancaster University, Lancaster LA1 4YQ, United Kingdom; School of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UK TI - Multi-method global sensitivity analysis (MMGSA) for modelling floodplain <I>hydrological processes</I> VL - 9999 SP - n/a KW - estel KW - hydrology KW - modelling KW - uncertainty AU - Cloke, HL AU - Pappenberger, F AU - Renaud, JP PY - 2007/// UR - http://dx.doi.org/10.1002/hyp.6734 ER -