Track-Based Cyclone Maximum Wind Retrievals Using the Cyclone Global Navigation Satellite System (CYGNSS) Mission Full DDMs

Mohammad M. Al-Khaldi; Joel T. Johnson; Younghun Kang; Steven J. Katzberg; Alexandra Bringer; Ethan Kubatko; Dylan Wood

doi:10.1109/JSTARS.2019.2946970

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2020)

Track-Based Cyclone Maximum Wind Retrievals Using the Cyclone Global Navigation Satellite System (CYGNSS) Mission Full DDMs

Mohammad M. Al-Khaldi,
Joel T. Johnson,
Younghun Kang,
Steven J. Katzberg,
Alexandra Bringer,
Ethan Kubatko,
Dylan Wood

Affiliations

Mohammad M. Al-Khaldi: ORCiD; Department of Electrical and Computer Engineering and ElectroScience Laboratory, The Ohio State University, Columbus, OH, USA
Joel T. Johnson: ORCiD; Department of Electrical and Computer Engineering and ElectroScience Laboratory, The Ohio State University, Columbus, OH, USA
Younghun Kang: Department of Civil, Environmental and Geodetic Engineering and The Computational Hydrodynamics and Informatics Laboratory, The Ohio State University, Columbus, OH, USA
Steven J. Katzberg: NASA's Langley Research Center, Hampton, VA, USA
Alexandra Bringer: Department of Electrical and Computer Engineering and ElectroScience Laboratory, The Ohio State University, Columbus, OH, USA
Ethan Kubatko: Department of Civil, Environmental and Geodetic Engineering and The Computational Hydrodynamics and Informatics Laboratory, The Ohio State University, Columbus, OH, USA
Dylan Wood: Department of Civil, Environmental and Geodetic Engineering and The Computational Hydrodynamics and Informatics Laboratory, The Ohio State University, Columbus, OH, USA

DOI: https://doi.org/10.1109/JSTARS.2019.2946970
Journal volume & issue: Vol. 13
pp. 21 – 29

Abstract

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Cyclone maximum wind retrievals are demonstrated using tracks of full delay-Doppler map (DDM) measurements of the Cyclone Global Navigation Satellite System (CYGNSS) constellation. The method is based on the production of a library of simulated DDMs for a synthetic storm model, as the parameters of the synthetic storm are varied. A matched filter approach between normalized simulated and measured DDMs is then applied to retrieve storm parameters. Because the method uses normalized DDMs in the retrieval, it is insensitive to the absolute power calibration of the DDM and instead relies on the DDM shape. Results from the method are shown for CYGNSS full DDM overpasses of Hurricane Irma as a case study. The maximum wind speed estimates obtained were associated with a retrieval root-mean-square error (RMSE) of 6.89 m/s and an unbiased RMSE 5.20 m/s with a mean difference of 4.52 m/s compared to reported National Hurricane Center Best Track forecasts.

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

ISSN: 1939-1404 (Print); 2151-1535 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Ocean engineering; Science: Physics: Geophysics. Cosmic physics
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4609443

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