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Abstract

A parametric sensitivity analysis (SA) was conducted on a well known model for the production of a key sulphur bearing compound from algal biota. The model is of interest because of the climatic relevance of the gas, dimethylsulphide (DMS), an initiator of cloud particles. A screening test at low sample size is applied first (Morris method) followed by a computationally intensive variance based measure. Standardized regression coefficients are also computed. The various SA measures are compared with each other, and the use of bootstrap is suggested to extract empirical confidence bounds on the SA estimators.

Additional information

Authors: CAMPOLONGO F, Griffith University, Faculty of Environmental Sciences (AU);SALTELLI A, JRC Ispra (IT)
Bibliographic Reference: Article: Reliability Engineering and System Safety
Record Number: 199611403 / Last updated on: 1996-12-18
Category: PUBLICATION
Original language: en
Available languages: en