Hello, I simulated the concentration of PM with the CMAQ5.3.3. The simulation period is January 2020, and the simulation domain is North China, using the MEIC emission inventory data. The concentration of PM2.5 extracted from the simulation results ACONC file was from 2ug/m3 to 30ug/m3, but the simulated value of ozone was within the a little higher range(64ug/m3-80ug/m3). Why does PM cause so much error?
What is the grid resolution of your modeling domain?
What error in the PM2.5 model concentrations are you referring to?
Were you expecting higher or lower PM2.5 concentrations, based on observed or measured values in your domain?
How did you post-process the model output to obtain the PM2.5 concentrations shown in your spreadsheet?
Have you used the latest release (CMAQv5.5) and compared the modeled PM2.5 concentrations to the values you obtained using CMAQv5.3.3?
1 Like
Hello, I have set up the grid area as shown in the file, using three levels of nesting. I extracted PM2.5 concentration data from the ACONC file using Python code, and obtained the results shown in the table. When comparing these results with observational data (60–200 µg/m³), I found a significant discrepancy. The ozone data also appears to be somewhat overestimated, although the deviation is not particularly large. I’m not sure what is causing this issue. I have not used other versions of CMAQ yet.
run_cctm_Bench_2016_12SE1.csh (35.8 KB)
GRIDDESC.txt (187 Bytes)
pm25.py (3.6 KB)