2000). Table 13.1 lists several current generation air quality models which have been
used to simulate ambient ozone, PM, and regional haze concentrations. Table 13.2 lists several
air quality models which have been used for various ozone and PM applications over the past
decade, but are not widely used at this time. Table 13.3 lists several current dispersion models
that have used to model primary PM. Table 13.4 lists several receptor models that have been
used to identify sources of PM. The list is not intended to be comprehensive. Exclusion of a
model from the list does not necessarily imply that it cannot be used to support a modeled
attainment demonstration or uniform rate of progress assessment. In the same way, inclusion on
the list does not necessarily imply that a model may be used for a particular application.
States/Tribes should follow the guidance in Sections 13.1 and 13.2 in selecting an air quality
model for a specific application.
14.0 How are the Meteorological Time Periods (Episodes) Selected?
Historically, attainment demonstrations have been based on a limited number of episodes
consisting of several days each. In the past, the number of days modeled has been limited by the
speed of computers and the ability to store the model output files. With the advancement in
computer technology over the past decade, computer speed and storage issues are no longer an
impediment to modeling long time periods. In fact, many groups have recently modeled entire
summers and/or full years for ozone, PM2.5, and regional haze (Baker, 2004a) (U.S. EPA,
Ozone based research has shown that model performance evaluations and the response to
emissions controls need to consider modeling results from relatively long time periods, in
particular, full synoptic cycles or even full ozone seasons (Hogrefe, 2000). In order to examine
the response to ozone control strategies, it may not be necessary to model a full ozone season (or
seasons), but, at a minimum. we recommend modeling “longer” episodes that encompass full
synoptic cycles. Time periods which include a ramp-up to a high ozone period and a ramp-down
to cleaner conditions allow for a more complete evaluation of model performance under a variety
of meteorological conditions.
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