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Developing a Quality Index Associated with Rain for Hurricane Winds from SAR

1
School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
2
Bedford Institute of Oceanography, Fisheries and Oceans, Dartmouth, NS B2Y4A2, Canada
3
Risk Management Solutions, Tallahassee, FL 32304, USA
*
Author to whom correspondence should be addressed.
Remote Sens. 2018, 10(11), 1783; https://doi.org/10.3390/rs10111783
Received: 20 August 2018 / Revised: 5 November 2018 / Accepted: 7 November 2018 / Published: 10 November 2018
(This article belongs to the Special Issue Sea Surface Roughness Observed by High Resolution Radar)
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Abstract

Differences in synthetic aperture radar (SAR)-retrieved hurricane wind speeds from co-polarization and cross-polarization measurements are found to be correlated with rain rate. A quality index is proposed for the SAR-retrieved wind speed product to recognize heavy rain- affected areas by taking account of the different imaging mechanisms of the radar backscattering from the ocean surface via cross-polarization and co-polarization observations. A procedure is proposed to rectify wind retrievals in the rain-contaminated areas within the hurricane core, based on the theoretical physical profile for hurricanes. The effectiveness of the proposed methodology for heavy rain area recognition and wind speed reconstruction in the rain-affected areas is validated against step frequency microwave radiometer measurements from hurricane reconnaissance missions and the hurricane surface wind analysis product (HWIND). The quality flags provide confidence levels of hurricane surface winds from SAR, which together with the proposed method to correct wind retrievals in rain-contaminated areas, can contribute to improved operational applications of SAR-derived winds under hurricane conditions. View Full-Text
Keywords: synthetic aperture radar (SAR); hurricane; rain; wind; dual-polarization synthetic aperture radar (SAR); hurricane; rain; wind; dual-polarization
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Shen, H.; Seitz, C.; Perrie, W.; He, Y.; Powell, M. Developing a Quality Index Associated with Rain for Hurricane Winds from SAR. Remote Sens. 2018, 10, 1783.

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