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

Friday, 19 December 2014
Matthew Adam Janiga1, Xiaowen Li2, Samson M Hagos3, Zhe Feng3, Shuguang Wang4, Angela Rowe5, Wei-Kuo Tao6 and Chidong Zhang1, (1)University of Miami, Miami, FL, United States, (2)Goddard Earth Sciences Technology and Research - GESTAR, Morgan State University, 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
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.