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Abstract

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.

Additional information

Authors: DRAPER D ET AL, University of Bath (GB);PEREIRA A ET AL, University of Stockholm (SE);PRADO P ET AL, CIEMAT, Madrid (ES);SALTELLI A ET AL, JRC Ispra (IT)
Bibliographic Reference: Article: Computational Physics Communication (1998)
Record Number: 199811395 / Last updated on: 1998-11-10
Category: PUBLICATION
Original language: en
Available languages: en