Set of scientific analysis codes for use in the publication:
For the KORUS-AQ paper publication, based on the preprint:
LeBlanc, S. E., Segal-Rozenhaimer, M., Redemann, J., Flynn, C. J., Johnson, R. R., Dunagan, S. E., Dahlgren, R., Kim, J., Choi, M., da Silva, A. M., Castellanos, P., Tan, Q., Ziemba, L., Thornhill, K. L., and Kacenelenbogen, M. S.: Airborne observation during KORUS-AQ show aerosol optical depth are more spatially self-consistent than aerosol intensive properties, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-1012, in review, 2022.
Analyse some of the AOD values from KORUS AQ by 4STAR, MERRA-2, GOCI YAER v2, and LARGE
Split up between fine mode and coarse mode AOD
Subset for level legs only
Run autocorrelation values for the distance/time travelled
The main code is the jupyter notebook: LeBlanc_2022_Airborne_KORUS_AOD_fine_coarse_autocorr_for_publication.ipynb
The data used here can be found at: https://www-air.larc.nasa.gov/cgi-bin/ArcView/korusaq, DOI: 10.5067/Suborbital/KORUSAQ/DATA01
