Maximum Supersaturation in the Marine Boundary Layer Clouds Over the North Atlantic Academic Article uri icon

abstract

  • AbstractThe maximum supersaturation (Sx) in clouds is a key parameter affecting the cloud's microphysical and radiative properties. We investigate the Sx of the marine boundary layer clouds by combining airborne and surface observations in the Eastern North Atlantic. The cloud droplet number concentration (Nc) in the least diluted cloud cores agrees well with the number concentration of particles larger than the Hoppel Minimum (HM) (N>HM) below clouds, indicating that the HM represents the average size threshold above which particles are activated to form cloud droplets. The Sx values derived from surface observations vary from 0.10% to 0.50% from June 2017 to June 2018, with a clear seasonal variation exhibiting higher values during winter. Most of the Sx variance (60%) can be explained by the cloud condensation nuclei (CCN) concentration and updraft velocity (w), with the CCN concentration playing a more important role than w in explaining the variation of Sx. The influence of CCN concentration on Sx leads to a buffered response of Nc to aerosol perturbations. The response of Nc to low aerosol concentration during winter is further buffered by the high w. The global Community Earth System Model (CESM) simulated Sx values in the Azores have a positive bias compared to measured Sx, likely due to overestimated w and underestimated CCN concentration. The CESM simulated Sx exhibits higher values further north over the North Atlantic Ocean, which is attributed to stronger w. The suppression of Sx by aerosol is also evident in regions with high CCN concentrations.

published proceedings

  • AGU ADVANCES

altmetric score

  • 9.5

author list (cited authors)

  • Gong, X., Wang, Y., Xie, H., Zhang, J., Lu, Z., Wood, R., ... Wang, J.

citation count

  • 1

complete list of authors

  • Gong, Xianda||Wang, Yang||Xie, Hua||Zhang, Jiaoshi||Lu, Zheng||Wood, Robert||Stratmann, Frank||Wex, Heike||Liu, Xiaohong||Wang, Jian

publication date

  • December 2023