“…Additionally, cloud horizontal inhomogeneity, cloud geometrical thickness, cloud top roughness, pixel domain size, and solar and viewing zenith angle are also major factors that can bias COD and droplet size retrievals due to 3-D radiative transfer (RT) effects (e.g., Chambers et al, 1997;Davis et al, 1997;Horváth & Davies, 2004;Iwabuchi & Hayasaka, 2002;Liang & Di Girolamo, 2013;Loeb & Coakley, 1998;Loeb & Davies, 1996;Marshak et al, 1995Marshak et al, , 2006Oreopoulos et al, 2000;Peers et al, 2015;Várnai & Marshak, 2001;Zhang et al, 2012;Zuidema & Evans, 1998). While progress is still being made toward mitigating (e.g., Cairns et al, 2000;Davis & Xu, 2014;Xu, Davis, & Diner, 2016) or correcting (e.g., Marshak et al, 1998) the effects of scene heterogeneity when using 1-D RT, in this paper, we focus on analysis of stratocumulus cloud layers that occur persistently in marine boundary layers off the west coast of Africa using data collected by the Airborne Multiangle SpectroPolarimetric Imager (AirMSPI). 3-D RT effects on COD retrievals for such clouds are relatively well understood, and their impact on the droplet size retrievals using polarimetric data is minor, as discussed later.…”