University of Leicester
Browse
jgrd52095.pdf (1.94 MB)

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

Download (1.94 MB)
journal contribution
posted on 2015-05-15, 11:16 authored by Alessandro Battaglia, S. Tanelli, K. Mroz, Frederick Tridon
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.

Funding

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/).

History

Citation

Journal of Geophysical Research: Atmospheres, 2015, 120 (9) pp 4090 - 4101.

Author affiliation

/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Physics and Astronomy

Version

  • VoR (Version of Record)

Published in

Journal of Geophysical Research: Atmospheres

Publisher

American Geophysical Union (AGU) & Wiley

issn

2169-897X

eissn

2169-8996

Copyright date

2015

Available date

2015-05-15

Publisher version

http://onlinelibrary.wiley.com/doi/10.1002/2014JD022866/abstract

Language

en

Usage metrics

    University of Leicester Publications

    Categories

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC