A statistical methodology for the evaluation of long-range dispersion models. An application to the ETEX exercise
This paper describes the statistical methodology applied to evaluate the performance of the long-range dispersion models that participated in the modelling activities of The European tracer experiment (ETEX). The availability of a large number of models makes this exercise unique. The fact that these models are used for the practical purpose of quantifying the contamination effects over a vast area, following a hypothetical accidental release of harmful material makes particularly important the quality judgement attributed to the results of each model, The statistical indicators considered to be the most effective for the evaluation of long-range dispersion models are introduced and commented upon, with specific examples given in the frame of ETEX simulations. The importance of using several indices in order to gain complete information on the model performances is outlined, which also requires a critical interpretation of the results.
Bibliographic Reference: Article: Atmospheric Environment (ETEX Special Issue) (1997)
Record Number: 199810118 / Last updated on: 1998-02-12
Original language: en
Available languages: en