Photochemical air quality models play a central role in both schentific inv
estigation of how pollutants evlove in the atmosphere as well as developing
policies to manage air quality. In the past 30 years, these models have ev
olved from rather crude representations of the physics and chemistry impact
ing trace species to their current state: comprehensive, but not complete.
The evolution has included advancements in not only the level of process de
scriptions, but also the computational implementation, including numerical
methods. As part of the NARSTO Critical Reviews, this article discusses the
current strengths and weaknesses of air quality models and the modeling pr
ocess. Current Eulerian models are found to represent well the primary proc
esses impacting the evolution of trace species in most cases though some ex
ceptions may exist. For example, sub-grid-scale processes, such as concentr
ated power plant plumes, are treated only approximately. It is not apparent
how much such approximations affect their results and the polices based up
on those results. A significant weakness has been in how investigators have
addressed, and communicated, such uncertainties. Studies find that major u
ncertainties are due to model inputs, e.g., emissions and meteorology, more
so than the model itself. One of the primary weakness identified is in the
modeling process, not the models. Evaluation has been limited both due to
data constraints. Seldom is there ample observational data to conduct a det
ailed model intercomparison using consistent data (e.g., the same emissions
and meteorology). Further model advancement, and development of greater co
nfidence in the use of models, is hampered by the lack of thorough evaluati
on and intercomparisons. Model advances are seen in the use of new tools fo
r extending the interpretation of model results, e.g., process and sensitiv
ity analysis, modeling systems to facilitate their use, and extension of mo
del capabilities, e.g., aerosol dynamics capabilities and sub-grid-scale re
presentations. Another possible direction that is the development and wides
pread use of a community model acting as a platform for multiple groups and
agencies to collaborate and progress more rapidly. (C) 2000 Elsevier Scien
ce Ltd. All rights reserved.