Moment-Based Simulation of Microphysical Properties of Sulfate Aerosols in the Eastern United States: Model description, evaluation and regional analysis

2 ABSTRACT A six-moment microphysics module for sulfate aerosols based on the quadrature method of moments has been incorporated in a host 3-D regional model, the Multiscale Air Quality Simulation Platform (MAQSIP). Model performance was examined and evaluated by comparison with the in-situ observations over the eastern US for 40-day period from July 19 to August 28, 1995. The model generally reproduces the spatial patterns (sulfate mixing ratios and wet deposition) over the eastern US and time series variations of sulfate mass concentrations. The model successfully captured the observed size distribution in the accumulation mode (radius 0.1 to 0.5 µm), in which the sulfate is predominately located, while underestimating the nucleation and coarse modes on the basis of the size distributions retrieved from the modeled six moments at the Great Smoky Mountains (GSM). This is consistent with better model performance on the effective radius (ratio of third to second moment, important for light scattering) than on number-mean and mass-mean radii. However, the model did not predict some of the moments well, especially t he higher moments and during the dust events. Aerosol components other than sulfate such as dust and organics appear to have contributed substantially to the observed aerosol loading at GSM. The model underpredicted sulfate mixing ratios by 13% with about 50% of observations simulated to within a factor of 2. One of reasons for this underestimation may be overprediction of sulfate wet deposition. Sulfate mass concentrations and number concentrations were high in the source-rich Ohio River valley, but number concentrations were high also over the Mid-Atlantic Coast (New Jersey area). Most (77%) sulfate amount was below 2.6 km whereas most sulfate number (>52%) was above 2.6 km except over Ohio River valley (41%). These results demonstrate the accuracy, u tility, practicality, and efficiency of moment-based methods for representing aerosol microphysical processes in large-scale chemical transport models.