Imperial College London
Alternate

Emeritus Professor Howard Wheater

Faculty of Engineering, Department of Civil and Environmental Engineering

Emeritus Professor in Civil and Environmental Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6066h.wheater CV

 
 
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Assistant

 

Miss Judith Barritt +44 (0)20 7594 5967

 
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Location

 

229Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Haghnegahdar:2017:10.1002/hyp.11358,
author = {Haghnegahdar, A and Razavi, S and Yassin, F and Wheater, H},
doi = {10.1002/hyp.11358},
journal = {Hydrological Processes},
pages = {4462--4476},
title = {Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty},
url = {http://dx.doi.org/10.1002/hyp.11358},
volume = {31},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Copyright © 2017 John Wiley  &  Sons, Ltd. Complex hydrological models are being increasingly used nowadays for many purposes such as studying the impact of climate and land-use change on water resources. However, building a high-fidelity model, particularly at large scales, remains a challenging task, due to complexities in model functioning and behaviour and uncertainties in model structure, parameterization, and data. Global sensitivity analysis (GSA), which characterizes how the variation in the model response is attributed to variations in its input factors (e.g., parameters and forcing data), provides an opportunity to enhance the development and application of these complex models. In this paper, we advocate using GSA as an integral part of the modelling process by discussing its capabilities as a tool for diagnosing model structure and detecting potential defects, identifying influential factors, characterizing uncertainty, and selecting calibration parameters. Accordingly, we conduct a comprehensive GSA of a complex land surface–hydrology model, Modélisation Environmentale–Surface et Hydrologie (MESH), which combines the Canadian land surface scheme with a hydrological routing component, WATROUTE. Various GSA experiments are carried out using a new technique, called Variogram Analysis of Response Surfaces, for alternative hydroclimatic conditions in Canada using multiple criteria, various model configurations, and a full set of model parameters. Results from this study reveal that, in addition to different hydroclimatic conditions and SA criteria, model configurations can also have a major impact on the assessment of sensitivity. GSA can identify aspects of the model internal functioning that are counter-intuitive and thus help the modeller to diagnose possible model deficiencies and make recommendations for improving development and application of the model. As a specific outcome of this work, a list of the most influential para
AU  - Haghnegahdar,A
AU  - Razavi,S
AU  - Yassin,F
AU  - Wheater,H
DO  - 10.1002/hyp.11358
EP  - 4476
PY  - 2017///
SN  - 0885-6087
SP  - 4462
TI  - Multicriteria sensitivity analysis as a diagnostic tool for understanding model behaviour and characterizing model uncertainty
T2  - Hydrological Processes
UR  - http://dx.doi.org/10.1002/hyp.11358
VL  - 31
ER  -
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