The topic of this paper is the modelling of suspended particulate matter (S
PM) patterns and their variation on North Sea scale over the time scale of
several months. The modelling results are assessed by a formalized comparis
on with concentrations derived from NOAA/AVHRR reflectance imagery. The nat
ure of the study is a sensitivity analysis of the various modules forming t
he integrated SPM model: the hydrodynamic model, the wave model and the SPM
transport and erosion-sedimentation model. A Goodness-of-Fit criterion is
introduced as a single parameter to quantify the difference between SPM mod
el results and data. Its specification reflects the aim of the model, which
in this study is the representation of the seasonal behaviour of SPM patte
rns, and the determination of the sensitivity to uncertainties in model par
ameters of the transport model, its inputs and forcing or boundary conditio
ns. This Goodness-of-Fit method is applied to a North Sea wide scale SPM mo
del application in both 2-D and 3-D using a curvilinear grid schematization
. Results are presented for the period March-September 1994. The results co
nfirm the suitability of NOAA/AVHRR based data to assess the modelling and
the importance of the net volume flux which is input to the SPM model. The
uncertainties in the present estimates of inputs from e.g. erosion and dump
ing, and the erosion-sedimentation model parameters are shown to also have
a major impact on the modelling results. The approach using the Goodness-of
-Fit criterion as such is shown to lead to an objective and reproducible qu
antification of the model quality. (C) 2001 Academic Press.