Underestimation Issue in MOZCART Results

[Naser Mohammadzadeh]

Hello,

I have attached the MOZCART simulation results for your reference. I notice that the model shows significant underestimation compared to observations.

Based on my current namelist settings, I would appreciate any comments or suggestions on possible reasons for this behavior. In particular, are there any configurations or options you would recommend adjusting to improve the correlation (increase R) and reduce the RMSE?

Thank you very much for your time and guidance.

Best regards,
Naser

[Mary Barth]

Hello Naser,

Your question is a science question and not about addressing technical issues with the tools we provide. You and your team will need to explore reasons for the underestimation. Typically, PM2.5 underestimation is due to inaccurate emissions and/or PBL height, but could also be due to not including chemical sources of PM. Note that MOZCART does not include SOA production or nitrate aerosols. A better aerosol representation would be MOSAIC (e.g., chem_opt=201). 

Mary 

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Mary Barth 

Senior Scientist   

phone: 303-497-8186    email: bar...@ucar.edu

NSF - National Center for Atmospheric Research

P.O. Box 3000

Boulder, CO 80307

Staff web page

SIMA Web Site

MUSICA Web Site

DC3 Web Site 

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[Naser Mohammadzadeh]

Dear Mary,

I have decided to replace MOZCART with MOSAIC (chem_opt = 201). I have attached my MOZCART namelist for reference.

Would it be sufficient to simply change chem_opt from 112 to 201, or do I need to modify other options in the namelist as well?

I would appreciate your guidance on this.

Thank you,
Naser