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  • Presentation | A21B: Advances in Cloud and Precipitation Processes: Integrating Observations, Modeling, and Theory III Poster
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  • A21B-2030: Relationship between Turbulent Entrainment-Mixing and Droplet Clustering
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Author(s):
Yangang Liu, Brookhaven National Laboratory (First Author, Presenting Author)
Sinan Gao, Guangzhou Institute of Tropical and Marine Meteorology
Chunsong Lu, Nanjing Univerisity of Information Science and Technology (NUIST)
Yaohui Shu, Stony Brook University


Some observational studies have suggested that the two phenomena of entrainment-mixing and droplet clustering are likely related to each other; however, their quantitative relationship remains elusive. In this study, we first present a theoretical power-law expression that relates the transitional scale number used to measure entrainment-mixing to the Stokes number used to study droplet clustering. Measurements collected during the ACE-ENA campaign are then analyzed to validate the theoretical expression. Further analysis is conducted to physically understand the scatter of the observational relationships as a function of entrained dry air relative humidity. Important implications for further addressing the two phenomena together are explored as well.



Scientific Discipline
Neighborhood
Type
Main Session
Discussion