Probing Cumulus Convection Using Lagrangian Particles

Zhiming Kuang1, Yang Tian1, Giuseppe Torri2, Jiahua Guo3 and Pak Wah Chan4, (1)Harvard University, Department of Earth and Planetary Sciences, Cambridge, United States, (2)University of Hawaiʻi at Mānoa, Atmospheric Sciences, Honolulu, United States, (3)Harvard University, Cambridge, MA, United States, (4)Peking University, Beijing, China
Abstract:
Much information can potentially be extracted from numerically simulated cumulus clouds through suitable diagnostics. Here, we describe the use of Lagrangian particles embedded in cloud-resolving models to construct Lagrangian views of cumulus clouds that complement the Eulerian statistics. The utility and issues of this approach will be discussed, as well as applications to understanding linear response functions of cumulus convection and the role of cold pools in spawning new convection during the transition from shallow to deep convection.
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