J9B.6 Surface-Based Remote Sensing of Ice Formation and Growth Processes in Mixed-Phase Clouds (Invited Presentation)

Wednesday, 31 January 2024: 9:45 AM
329 (The Baltimore Convention Center)
Pavlos Kollias, Stony Brook Univ., Stony Brook, NY; Stony Brook Univ., Stony Brook, NY; and F. Yang, M. Oue, and E. Luke

Naturally occurring particles in ice clouds exhibit large variability in their microphysical properties such as shape, size, and density. Laboratory studies have provided a wealth of information on ice formation and growth processes; however, are limited in the type of conditions that they can reproduce in a controlled environment. On the other hand, in-situ measurements provide information in a wide range of real conditions occurring in nature; however, their limited sampling volume and uncertainties associated with aircraft probes make their use challenging.

Remote-sensing techniques provide an alternative way to observe atmospheric clouds, offering larger sampling volumes and longer periods compared with in situ measurements. Here, we will focus on mixed-phase clouds that given their prevalence especially in the high latitudes, exert a major influence on both the surface and the top-of-atmosphere radiative budget.

We will review surface-based remote sensing techniques and studies that utilize radar, lidars, radiometers and soundings to characterize the microphysical and dynamical structure of mixed-phase clouds. The review will focus on two active areas of research: the occurrence of secondary ice production and the characterization and role of cloud dynamics and turbulence in these cloud systems. In addition, we will provide an outlook about surface-based remote sensing capabilities and assess their potential to untangle some of the complex microphysical and dynamical processes in mixed-phase clouds

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