Quantifying the spatial inhomogeneity of ice concentration in mixed-phase stratiform cloud using airborne observation.

The distribution of ice particles strongly affects the microphysical processes in mixed-phase clouds, but the inhomogeneity of ice distribution is not well understood. In this paper, based on airborne in-situ measurements from three flights on May 31, 2021 in Hulun Buir, China, the inhomogeneity and clustering of ice distribution in a stratiform cloud is quantitatively analyzed using the pair correlation function (PCF). The results show that ice clusters on scales of a few kilometers dominate the inhomogeneity of the ice distribution. Due to the cumulative impact of ice clusters on different scales, the probability of finding relative high ice concentration within a lag of 80 m can be enhanced by 0.1 to 3.5 times. On average, the scale of ice cluster is ∼100 m for a sampling distance of 1 km, and increases to 3.2 km for a sampling distance of 20 km. It is also found that the ice growth is not fast enough to cluster the ice water content (IWC), and the inhomogeneity of IWC is strongly influenced by ice generation in addition to ice growth in the observed cloud. The results are helpful to better understand the distribution of ice in mixed-phase cloud, and provide potentially important information to improve the parameterizations of microphysics in models. • The inhomogeneity of ice distribution in mixed-phase stratiform cloud is quantitatively analyzed using airborne measurement. • Ice clusters on scales of a few kilometers dominate the inhomogeneity of the ice distribution. • Averagely, the ice cluster scale increases from 100 m to 3.2 km as the sampling distance increases from 1 km to 20 km. [ABSTRACT FROM AUTHOR]