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

Matthew Janiga, Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States, Xiaowen Li, Morgan State University, Climate Science, Baltimore, United States, Samson M Hagos, Pacific Northwest National Laboratory, Richland, United States, Zhe Feng, Pacific Northwest National Laboratory, Richland, WA, United States, Shuguang Wang, Columbia University of New York, Palisades, NY, United States, Angela K Rowe, University of Washington Seattle Campus, Atmospheric Sciences, Seattle, WA, United States, Wei-Kuo Tao, NASA Goddard Space Flight Center, Greenbelt, MD, United States and Chidong Zhang, 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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