Schutgens, N., Sayer, A.M., Heckel, A., Hsu, C., Jethva, H., de Leeuw, G., Leonard, P.J.T., Levy, R.C., Lipponen, A., Lyapustin, A., North, P., Popp, T., Poulsen, C., Sawyer, V., Sogacheva, L., Thomas, G., Torres, O., Wang, Y., Kinne, S., Schulz, M. and Stier, P. (2020) An Aerocom-Aerosat Study: Intercomparison of Satellite AOD Datasets for Aerosol Model Evaluation. Atmospheric Chemistry and Physics, 20, 12431-12457.
https://doi.org/10.5194/acp-20-12431-2020

has been cited by the following article:

• TITLE: June to October Aerosol Optical Depth over the Arctic at Various Spatial and Temporal Scales in MODIS, MAIAC, CALIOP and GOES Data

  AUTHORS: Nicole Mölders, Mariel Friberg

  KEYWORDS: Inter-Comparison of MAIAC CALIOP MODIS C6.1 GOES AOD-Products, Long-Term Evaluation of AOD-Products with AERONET Observations, AOD Distribution over the Arctic, Changes in Arctic AOD

  JOURNAL NAME: Open Journal of Air Pollution, Vol.12 No.1, February 28, 2023

  ABSTRACT: The accuracy of the cloud-aerosol lidar with orthogonal polarization (CALIOP), moderate resolution imaging spectroradiometer (MODIS), Multi-Angle Implementation of Atmospheric Correction (MAIAC), and Geostationary Operational Environmental Satellite (GOES) aerosol optical depth (AOD) products for the Arctic north of 59.75°N was examined by means of 35 aerosol robotic network (AERONET) AOD sites. The assessment for June to October 2006 to 2020 showed MAIAC AOD agreed the best with AERONET AOD; CALIOP AOD differed the strongest from the AERONET AOD. Cross-correlations of CALIOP AOD along the satellite path indicated that AOD-values 40 km up-and-down the path often failed to represent the AERONET AOD-values within ±30 min of the overpass in this region dominated by easterly winds. Typically, CALIOP AOD was lower than AERONET AOD and MAIAC AOD at the sites, especially, at sites with mean AOD below 0.1. Generally, MODIS AOD values exceeded those of MAIAC. Comparison of CALIOP, MAIAC, and MODIS products resampled on a 0.25° × 0.25° grid revealed differences among the products caused by their temporal and spatial resolution, sample habit and size. Typically, the MODIS AOD-product showed the most details in AOD distribution. Despite differences in AOD-values, all products provided similar temporal evolution of elevated and lower AOD.