I have also tinkered with FINN for CMAQ in the past to create a non-SMOKE system. The goal was to create a simple pathway to go from publicly available data to make CMAQ-ready emissions. I call it finn2cmaq[1]. It is probably not as good as the SMOKE approach, but it might be useful for users without SMOKE because it is a quick method that can be run in the cloud. To date, I have primarily used the 2D data as an alternative data source for comparison. There is no warranty expressed or implied…
An example Jupyter Notebook that applies the system is available in the github project. Look in the examples folder. Right now, the PM speciation is a little simplistic. The EC, OC, SO4 and NO3 are explicit, but all the rest is in PMOTHR. This could certainly be improved, and should be QA’d during any application…
[1] GitHub - barronh/finn2cmaq: Fire emission pre-processor for CMAQ.