This paper describes the scientific and structural updates to the latest release of the Community Multiscale Air Quality (CMAQ) modeling system version 4.7 (v4.7) and points the reader to additional resources for further details. The model updates were evaluated relative to observations and results from previous model versions in a series of sim-ulations conducted to incrementally assess the effect of each change. The focus of this paper is on five major scientific up-grades: (a) updates to the heterogeneous N 2 O 5 parameteriza-tion, (b) improvement in the treatment of secondary organic aerosol (SOA), (c) inclusion of dynamic mass transfer for coarse-mode aerosol, (d) revisions to the cloud model, and (e) new options for the calculation of photolysis rates. Incre-mental test simulations over the eastern United States during January and August 2006 are evaluated to assess the model response to each scientific improvement, providing explana-tions of differences in results between v4.7 and previously re-leased CMAQ model versions. Particulate sulfate predictions are improved across all monitoring networks during both sea-sons due to cloud module updates. Numerous updates to the SOA module improve the simulation of seasonal variability and decrease the bias in organic carbon predictions at urban sites in the winter. Bias in the total mass of fine particu-late matter (PM 2.5) is dominated by overpredictions of un-speciated PM 2.5 (PM other) in the winter and by underpredic-tions of carbon in the summer. The CMAQv4.7 model re-sults show slightly worse performance for ozone predictions. However, changes to the meteorological inputs are found to have a much greater impact on ozone predictions compared to changes to the CMAQ modules described here. Model updates had little effect on existing biases in wet deposition predictions.
Mendeley saves you time finding and organizing research
Choose a citation style from the tabs below