better than daily results and generally captured the diurnal patterns for PM2.5 species
and gaseous species (O3, NOx, HNO3, SO2, etc.), although the magnitude was
considerably off in some cases.
4. Seigneur, C., “Review of CMAQ and REMSAD Performance for Regional PM Modeling”,
AER Report for UARG, Doc# CP163-03-01b, March 2003.
• Describe a review of summary performance of CMAQ, CMAQ-MADRID 1, CMAQMADRID
2, and REMSAD. Based on the comparison studies by others given below:
a. BRAVO 1999 study: CMAQ-MADRID 1 & REMSAD
b. WRAP 1996 studies: CMAQ & REMSAD
c. WRAP Aug. 1999 & Jan. 2000 studies: CMAQ & REMSAD
d. EPA/ORD July 1999 studies: CMAQ & REMSAD
e. Southeast PM - July 1999 study (Nashville/Atlanta):CMAQ,
CMAQ-MADRID1,2 & REMSAD
• AER Suggested normalized errors of 50% as the benchmark for sulfate and PM2.5
(note: this suggestion was not agreed by other modeling groups, see references #2, #5,
#7: the MNE is most biased metrics and has high fluctuations). The review showed
only SE PM study meets this criteria for sulfate and PM2.5, and all the rest of species
failed. No model showed consistently better performance than the others. Suggested
that the model inputs has more effect on performance than model formulations.
• Indicated that “the current performance of air quality models for PM is poor”...”There
is a dire need for improving model inputs and model formulations in order to obtain
acceptable model performance”... “3-D air quality models are the best tools available to
address the PM source-receptors relationships because they take into account the
non-linearities that affect the formation of secondary PM”.
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