Journal article
Cross validation of rainfall characteristics estimated from the TRMM PR, a combined PR-TMI algorithm, and a C-POL ground radar during the passage of tropical cyclone and nontropical cyclone events over Darwin, Australia
A Deo, SJ Munchak, KJE Walsh
Journal of Atmospheric and Oceanic Technology | AMER METEOROLOGICAL SOC | Published : 2018
Abstract
This study cross validates the radar reflectivity Z; the rainfall drop size distribution parameter (median volume diameter D o ); and the rainfall rate R estimated from the Tropical Rainfall Measuring Mission (TRMM) satellite Precipitation Radar (PR), a combined PR and TRMM Microwave Imager (TMI) algorithm (COM), and a C-band dual-polarized ground radar (GR) for TRMM overpasses during the passage of tropical cyclone (TC) and non-TC events over Darwin, Australia. Two overpass events during the passage of TC Carlos and 11 non-TC overpass events are used in this study, and the GR is taken as the reference. It is shown that the correspondence is dependent on the precipitation type whereby events..
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Awarded by U.S. Department of Energy
Funding Acknowledgements
The authors thank the Australian Research Council Centre of Excellence for Climate System Science and their respective institutions for supporting this work and for funding Anil Deo's visit to the NASA Goddard Space Flight Center Mesoscale Atmospheric Processes Laboratory. The authors also thank Dr. Michael Whimpey, Dr. Alain Protat, and Dr. Valentin Louf of the Australian Bureau of Meteorology and Dr. Robert Warren of Monash University, Australia, for providing assistance with the data and the rainfall retrieval algorithms of the Darwin radar. Anil Deo also acknowledges the Australian government-sponsored Endeavour Postgraduate Award for funding his doctorate degree at the University of Melbourne. The radar dataset was created by Valentin Louf as part of the U.S. Department of Energy ASR Program (DE-SC0014063), and support for this publication was provided through the NASA Precipitation Measurement Missions Science Team under Program Manager Dr. Gail Skofronick-Jackson.