Joe O'Brien

I can keep a list of missing/needed references as I go through PyART getting more familiar with the package.

As @sgupta92 mentioned, defining periods of flight to allow for easier QA/QC or analysis of specific flight portions is typically done for every flight campaign and an utility to automatically...

Maybe this could even be as easy as if the user is working with an AAF tagged file (e.g. `aaf2dsh`), a module that grabs the nav data for that given...

With identified flight segments, eventually utilities such as normalization of cloud parameters for cloud thickness (ZN) ([Gupta et al. 2021](https://acp.copernicus.org/articles/21/4615/2021/)) could be developed or spatial averages (e.g. avg 1km ND)...

Additional support that may be of interest for upcoming urban campaigns is the [Pandora Project](https://pandora.gsfc.nasa.gov/Data/html/availability.html), offering the ability to collocate surface AQ observations with total column observations

This may be of interest, was published [PySPLIT](https://github.com/mscross/pysplit), and mentioned on NOAA's HYSPLIT page

@AdamTheisen @zssherman I would prefer to leave this open. It's on my to-do list if we ever get a chance or maybe we can sit down and discuss it @zssherman....

@AdamTheisen @zssherman an additional use case would be plotting particle imagery from the AAF if we wanted to go that route.