Precipitation Structures and Associated Cloud Microphysics in an MJO event during DYNAMO: Cloud-Resolving Modeling and Radar Observations

Tuesday, 16 December 2014
Xiaowen Li1, Wei-Kuo Tao2, Matthew Adam Janiga3, Shuguang Wang4, Samson M Hagos5, Toshihisa Matsui2, Chuntao Liu6, Angela Rowe7, Weixin Xu8 and Chidong Zhang9, (1)Goddard Earth Sciences Technology and Research - GESTAR, Morgan State University, Baltimore, MD, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of Miami, Miami, FL, United States, (4)Columbia University of New York, Palisades, NY, United States, (5)Pacific Northwest National Laboratory, Richland, WA, United States, (6)Texas A&M Univ Corpus Christi, corpus christi, TX, United States, (7)University of Washington Seattle Campus, Atmospheric Sciences, Seattle, WA, United States, (8)University of Maryland, College Park, MD, United States, (9)Univ Miami-RSMAS/MPO, Miami, FL, United States
The Dynamics of the Madden-Julian Oscillation field campaign (Oct. 2011 ~Mar. 2012) over the Tropical Indian Ocean produced a rich dataset of cloud and precipitation structures with ground-based radars. This study uses 3 different cloud-resolving models (GCE, SAM and WRF running in doubly cyclic condition), 2 ground-based radar (S-POL and C-Band radar onboard R/V Revelle), TRMM satellite, as well as limited CloudSat overpasses during the November MJO event in an attempt to piece together how precipitation structures, and the associated cloud microphysics, evolve with the developing MJO over central Indian Ocean. The cloud-resolving models are forced by observed large-scale forcing data. The model simulations fill in observational gaps for limited area ground-based radars and sporadic satellite observations. In the mean time, radar observations provide excellent validations for CRMs' inter-comparisons.