I’m teaching an undergraduate research course (CURE type course) involving atmospheric chemistry. One project is looking at the effect of mobile emissions on air quality in California. We will look into various mobile sources eventually, but for now I’m just focusing on running CMAQ with emissions scaling for all mobile sources. Since this is for an Undergraduate level class I’m hoping to get away with using CMAQ ready emissions and meterology files, which I’ve obtained from the Google Drive (thanks so much for having these!).
My thoughts on the easiest way to start were to use the merged gridded emissions data and subtract premerged onroad_ca_adj using the DESID emissions scaling. For example:
‘EVERYWHERE’, ‘ONROAD_CA’ ,‘All’ ,‘All’ ,‘All’ ,0. ,‘UNIT’,‘m’,!Base case.
Extreme case: no onroad emisisons
‘EVERYWHERE’, ‘ONROAD_CA’ ,‘All’ ,‘All’ ,‘All’ ,-1. ,‘UNIT’,‘m’,!Subtract out all onroad emissions.
I’m using these gridded emissions files from the Google Drive (along with STK_EMIS files)
I just wanted to check if this was reasonable to subtract these two emissions sets like this.