Cloud Resolving Simulations of Convection during AMIE/DYNAMO: Microphysics and Heat / Moisture Budget

Matthew Janiga1, Xiaowen Li2, Samson M Hagos3, Zhe Feng3, Shuguang Wang4, Angela K Rowe5, Wei-Kuo Tao6 and Chidong Zhang7, (1)Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States, (2)Morgan State University, Climate Science, Baltimore, MD, United States, (3)Pacific Northwest National Laboratory, Richland, WA, United States, (4)Columbia University of New York, Palisades, NY, United States, (5)University of Washington Seattle Campus, Atmospheric Sciences, Seattle, WA, United States, (6)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (7)University of Miami, Miami, FL, United States
Abstract:
This study compares simulations of convection during the AMIE/DYNAMO field campaign performed using three doubly-periodic cloud-resolving models (CRMs) and one regional CRM. A variety of microphysics parameterizations are used in these simulations. The target of these simulations is the second MJO event of the campaign, including suppressed periods before and after the passage of the convective envelope. The properties of convection in the CRM simulations are compared to observations of reflectivity and hydrometeor type from the dual-polarimetric SPOL radar. Contrasts in the properties of convection between the various simulations are related to their effect on the heat and moisture budgets.
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