Atmospheric Science - Kamide Lecture
Title: Cloud-Cloud Interactions and Their Role in the Development of Convective Cloud Systems


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Jingyi CHEN

Nanjing University of Information Science and Technology

Speaker Biography

Jingyi Chen is currently a professor at Nanjing University of Information Science and Technology. She obtained her bachelor's degree from Peking University in 2011 and her Ph.D. from the State University of New York at Stony Brook in 2018. Following this, she worked as a postdoctoral researcher and then as a scientist at the Pacific Northwest National Laboratory from 2018 to 2024. Her research focuses on addressing several significant challenges related to cloud processes at the sub-grid scale. These challenges include the formation and upscale growth of shallow clouds, the interactions between land, the atmospheric boundary layer, and clouds, as well as the interactions between aerosols and clouds. These processes at the sub-grid level are often simplified within Earth System Models (ESMs) due to their finer spatial and temporal scales, which necessitate parameterization, and a lack of clear theoretical understanding. Understanding and accurately parameterizing these sub-grid cloud processes will lead to improved predictions of the Earth’s energy and hydrological cycles.


Abstract

Some climate research challenges stem from a limited understanding of the critical factors that govern the life cycle of cumulus clouds. These factors influence the initiation and the various mixing processes that occur during cloud life cycles. To illuminate these processes, we concentrate on cloud-cloud interactions, particularly the behaviors of neighboring clouds during the development of convective cloud systems. Utilizing both realistic and idealized large-eddy simulations (LES), we address the scientific question of how the growth and decay patterns of cumulus clouds are affected by the presence of other nearby clouds. Through realistic LES simulations over land, we discovered that clouds tend to grow while their neighboring clouds grow more slowly or dissipate, as indicated by statistical analysis. This suggests a potential competitive relationship when clouds are in close proximity. We also examine these relationships within the trade wind clouds over tropical ocean. In the context of idealized LES simulations, we examine the factors that influence the competitive strength between two neighboring clouds, including aerosols, the distance between the clouds, and the strength of surface forcings. Gaining an understanding of these processes provides insights into how cloud-cloud interactions modulate the evolution of cloud populations and how this evolution might be incorporated into future cumulus parameterizations.





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