I ran a simulation using CESM1.2.2 (with MAM3), but there is no direct PM2.5 concentrations in the history file. I used some methods to calculate PM2.5, but found that there is large bias between modelde PM2.5 and observed PM2.5, especially for some highly-polluted regions (such The gangetic plain, JAVA Island and North China). However, the default emission inventories in MAM3 can show the pattern (where PM2.5 in the gangetic plain, JAVA Island and North China is the largest worldwide). Therefore, I am thinking about whether my method of caculating PM2.5 is not correct. The following is my way to get PM2.5:
PM2.5=bc_a1_SRF+pom_a1_SRF+so4_a1_SRF+so4_a2_SRF+so4_a3_SRF*r+soa_a1_SRF+soa_a2_SRF+dst_a1_SRF+dst_a3_SRF*r+ncl_a1_SRF+ncl_a2_SRF+ncl_a3_SRF*r
r here is the proportion of aerosols below 2.5 micron in the Coarse mode to total aerosols in the Coarse mode.
Whether I should use other variables to calculate PM2.5? like num_a1_SRF(num_a1 in bottom layer) or BURDEN1 (Aerosol burden mode, unit:kg/m2)?
PM2.5=bc_a1_SRF+pom_a1_SRF+so4_a1_SRF+so4_a2_SRF+so4_a3_SRF*r+soa_a1_SRF+soa_a2_SRF+dst_a1_SRF+dst_a3_SRF*r+ncl_a1_SRF+ncl_a2_SRF+ncl_a3_SRF*r
r here is the proportion of aerosols below 2.5 micron in the Coarse mode to total aerosols in the Coarse mode.
Whether I should use other variables to calculate PM2.5? like num_a1_SRF(num_a1 in bottom layer) or BURDEN1 (Aerosol burden mode, unit:kg/m2)?