A159-01
Profiles of MBL cloud and drizzle microphysical properties retrieved from ground-based observations and validated by aircraft in-situ measurements over the Azores

Monday, 14 December 2020: 08:30
Virtual
Xiquan Dong1, Peng Wu1, Baike Xi1, Jingjing Tian2 and Dale Ward3, (1)University of Arizona, Hydrology and Atmospheric Sciences, Tucson, AZ, United States, (2)University of North Dakota, Grand Forks, ND, United States, (3)University of Arizona, Atmospheric Sciences, Tucson, AZ, United States
Abstract:
The profiles of MBL cloud and drizzle microphysical properties are most important for studying the cloud-to-rain conversion and growth processes in marine boundary layer (MBL) clouds. However, it is challenging to simultaneously retrieve both cloud and drizzle microphysical properties within a MBL cloud layer using ground-based observations. In this study, methods were developed to first decompose drizzle and cloud reflectivity in MBL clouds from ARM cloud radar reflectivity measurements, and then simultaneously retrieve both cloud and drizzle microphysical properties during the Aerosol and Cloud Experiments in the Eastern North Atlantic (ACE-ENA) campaign. These retrieved microphysical properties, such as cloud and drizzle particle size (rc and rm,d), their number concentration (Nc and Nd) and liquid water content (LWCc and LWCd), have been validated by aircraft in situ measurements during ACE-ENA (~158 hours of aircraft data). The mean surface retrieved (in-situ measured) rc, Nc, and LWCc are 10.9 µm (11.8 µm), 70 cm-3 (60 cm-3), and 0.21 g m-3 (0.22 g m-3), respectively. For drizzle microphysical properties, the retrieved (in-situ measured) rd, Nd, and LWCd are 44.9 µm (45.1 µm), 0.07 cm-3 (0.08 cm-3), and 0.052 g m-3 (0.066 g m-3), respectively. Treating the aircraft in-situ measurements as truth, the estimated median retrieval errors are ~15% for rc, ~35% for Nc, ~30% for LWCc, and rd, and ~50% for Nd and LWCd. The findings from this study will provide insightful information for improving our understanding of warm rain processes, as well as for improving model simulations. More studies are required over other climatic regions.