Multiple scattering in observations of the GPM dual-frequency precipitation radar: Evidence and impact on retrievals

• Published in: Journal of Geophysical Research: Atmospheres
• Main Authors: Battaglia, Alessandro, Tanelli, S., Mroz, K., Tridon, Frederick
• Format: Article in Journal/Newspaper
• Language: English
• Published: American Geophysical Union (AGU) & Wiley 2015
• Subjects: radar; GPM-DPR; multiple scattering; graupel; North Atlantic
• Online Access: http://onlinelibrary.wiley.com/doi/10.1002/2014JD022866/abstract; http://hdl.handle.net/2381/32279; https://doi.org/10.1002/2014JD022866

This paper illustrates how multiple scattering signatures affect Global Precipitation Measuring (GPM) Mission Dual-Frequency Precipitation Radar (DPR) Ku and Ka band reflectivity measurements and how they are consistent with prelaunch assessments based on theoretical considerations and confirmed by airborne observations. In particular, in the presence of deep convection, certain characteristics of the dual-wavelength reflectivity profiles cannot be explained with single scattering, whereas they are readily explained by multiple-scattering theory. Examples of such signatures are the absence of surface reflectivity peaks and anomalously small reflectivity slopes in the lower troposphere. These findings are relevant for DPR-based rainfall retrievals and stratiform/convective classification algorithms when dealing with deep convective regions. A path to refining the rainfall inversion problem is proposed by adopting a methodology based on a forward operator which accounts for multiple scattering. A retrieval algorithm based on this methodology is applied to a case study over Africa, and it is compared to the standard DPR products obtained with the at-launch version of the standard algorithms. The work done by A. Battaglia and F. Tridon was funded by the project “Calibration and validation studies over the North Atlantic and UK for the Global Precipitation Mission,” which was funded by the UK NERC (NE/L007169/1). The work done by S. Tanelli was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. This work was carried out for the GPM mission under the Precipitation Measurement Missions program, and support by Ramesh Kakar is gratefully acknowledged. V03B-GPM and MSG data were downloaded from the Precipitation Processing System (DOI 10.5067/GPM/DPR/DPR/2A, 10.5067/GPM/DPR/Ku/2A, and 10.5067/GPM/DPR/Ka/2A for the 2A-DPR, 2A-Ku, and 2A-Ka, respectively) and the EumetSat Earth Observation Portal, respectively. The forward radar model code was courteously provided by R. Hogan (http://www.met.rdg.ac.uk/clouds/multiscatter/). Peer-reviewed Publisher Version