Figure 7.

Aerosol OC, POC, and SOC predicted by the base model simulation (M_i) compared to CSN, IMPROVE, and SEARCH (JST, BHM, CTR, and YRK) observations (O_i). Mean bias ($\mathrm{MB}=\frac{1}{n}{\sum }_{i=1}^n(M_i-O_i)$) and mean absolute gross error ($\mathrm{ME}=\frac{1}{n}{\sum }_{i=1}^n|M_i-O_i|$) are in micrograms of carbon per cubic meter. X symbols indicate mean bias. Boxplots indicate 5th, 25th, median, 75th, and 95th percentile.r² based on a zero intercept. n is the number of observations. $\mathrm{NMB}=\frac{{\sum }_{i=1}^n(M_i-O_i)}{{\sum }_{i=1}^n{O}_i}$.