A two-step approach to sensitivity analysis of model output in large computational models is proposed. A preliminary screening exercise is suggested in order to identify the subset of the most potentially explanatory factors. Afterwards, a quantitative method is recommended on the subset of pre-selected inputs. The advantage of the proposed procedure is that, very often, among a large number of input factors, only a few have a significant effect on the model output. The approach provides quantitative sensitivity measures while controlling the computational cost of the experiment. The procedure has been tested on a recent version of a chemical kinetics model of the tropospheric oxidation pathways of dimethylsulphide, including 68 uncertain factors.
CAMPOLONGO Francesca;
TARANTOLA Stefano;
SALTELLI Andrea;
1998-10-13
JRC17164
https://publications.jrc.ec.europa.eu/repository/handle/JRC17164,
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