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

Xiaowen Li1, Wei-Kuo Tao2, Matthew Janiga3, Shuguang Wang4, Samson M Hagos5, Toshihisa Matsui2, Chuntao Liu6, Angela K Rowe7, Weixin Xu8 and Chidong Zhang9, (1)Morgan State University, Climate Science, Baltimore, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)Naval Research Laboratory, Marine Meteorology Division, Monterey, CA, United States, (4)Columbia University of New York, Palisades, NY, United States, (5)Pacific Northwest National Laboratory, Richland, United States, (6)Texas A&M University 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, United States
Abstract:
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.
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