Aerosol and cloud microphysics covariability in the northeast Pacific boundary layer estimated with ship-based and satellite remote sensing observations

Ship measurements collected over the northeast Pacific along transects between the port of Los Angeles (33.7°N, 118.2°W) and Honolulu (21.3°N, 157.8°W) during May to August 2013 were utilized to investigate the covariability between marine low cloud microphysical and aerosol properties. Ship-based retrievals of cloud optical depth (τ) from a Sun photometer and liquid water path (LWP) from a microwave radiometer were combined to derive cloud droplet number concentration Nd and compute a cloud-aerosol interaction (ACI) metric defined as ACICCN = ∂ ln(Nd)/∂ ln(CCN), with CCN denoting the cloud condensation nuclei concentration measured at 0.4% (CCN_0.4) and 0.3% (CCN_0.3) supersaturation. Analysis of CCN_0.4, accumulation mode aerosol concentration (N_a), and extinction coefficient (∂_ext) indicates that Na and ∂_ext can be used as CCN_0.4 proxies for estimating ACI. ACI_CCN derived from 10 min averaged N_d and CCN_0.4 and CCN_0.3, and CCN_0.4 regressions using N_a and ∂_ext, produce high ACI_CCN: near 1.0, that is, a fractional change in aerosols is associated with an equivalent fractional change in N_d. ACI_CCN computed in deep boundary layers was small (ACI_CCN = 0.60), indicating that surface aerosol measurements inadequately represent the aerosol variability below clouds. Satellite cloud retrievals from MODerate-resolution Imaging Spectroradiometer and GOES-15 data were compared against ship-based retrievals and further analyzed to compute a satellite-based ACICCN. Satellite data correlated well with their ship-based counterparts with linear correlation coefficients equal to or greater than 0.78. Combined satellite N_d and ship-based CCN_0.4 and N_a yielded a maximum ACI_CCN = 0.88-0.92, a value slightly less than the ship-based ACI_CCN, but still consistent with aircraft-based studies in the eastern Pacific.