Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images
The spaceborne synthetic aperture radar (SAR) cross-polarization signal remains sensitive to sea surface wind speed with high signal-to-noise ratio under tropical cyclone (TC) conditions. It has the capability of observing TC intensity and size information over the ocean with large coverage and high...
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MDPI AG
2021
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oai:doaj.org-article:43b7ffad218e402c88370ca24067ac2d2021-11-25T18:53:42ZAnalyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images10.3390/rs132245012072-4292https://doaj.org/article/43b7ffad218e402c88370ca24067ac2d2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4501https://doaj.org/toc/2072-4292The spaceborne synthetic aperture radar (SAR) cross-polarization signal remains sensitive to sea surface wind speed with high signal-to-noise ratio under tropical cyclone (TC) conditions. It has the capability of observing TC intensity and size information over the ocean with large coverage and high spatial resolution. In this paper, TC wind distribution characteristics were studied based on SAR images. We collected 41 Sentinel-1A/B cross-polarization images covering TC eye, which were acquired between 2016 and 2020. For each case, sea surface wind speeds were retrieved by the modified MS1A model in a spatial resolution of 1 km. After deriving the value and location of maximum wind speed, wind fields were simulated symmetrically within a 200 km radius. Two new methodologies were proposed to calculate the decay index and the symmetry index based on the retrieved and simulated wind fields. Characteristics of the two indices were analyzed with respect to maximum wind. In addition, the maximum and averaged wind speeds of the right, back and left side of the motion direction were compared with TC intensity and storm motion speed. Statistical results indicate that right-side wind speed is the strongest for maximum and average, the wind difference between the left and right side is dependent on storm motion speed.Yuan GaoJie ZhangChanglong GuanJian SunMDPI AGarticletropical cyclonewind distributionsynthetic aperture radarSentinel-1symmetry indexdecay indexScienceQENRemote Sensing, Vol 13, Iss 4501, p 4501 (2021) |
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tropical cyclone wind distribution synthetic aperture radar Sentinel-1 symmetry index decay index Science Q |
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tropical cyclone wind distribution synthetic aperture radar Sentinel-1 symmetry index decay index Science Q Yuan Gao Jie Zhang Changlong Guan Jian Sun Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images |
description |
The spaceborne synthetic aperture radar (SAR) cross-polarization signal remains sensitive to sea surface wind speed with high signal-to-noise ratio under tropical cyclone (TC) conditions. It has the capability of observing TC intensity and size information over the ocean with large coverage and high spatial resolution. In this paper, TC wind distribution characteristics were studied based on SAR images. We collected 41 Sentinel-1A/B cross-polarization images covering TC eye, which were acquired between 2016 and 2020. For each case, sea surface wind speeds were retrieved by the modified MS1A model in a spatial resolution of 1 km. After deriving the value and location of maximum wind speed, wind fields were simulated symmetrically within a 200 km radius. Two new methodologies were proposed to calculate the decay index and the symmetry index based on the retrieved and simulated wind fields. Characteristics of the two indices were analyzed with respect to maximum wind. In addition, the maximum and averaged wind speeds of the right, back and left side of the motion direction were compared with TC intensity and storm motion speed. Statistical results indicate that right-side wind speed is the strongest for maximum and average, the wind difference between the left and right side is dependent on storm motion speed. |
format |
article |
author |
Yuan Gao Jie Zhang Changlong Guan Jian Sun |
author_facet |
Yuan Gao Jie Zhang Changlong Guan Jian Sun |
author_sort |
Yuan Gao |
title |
Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images |
title_short |
Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images |
title_full |
Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images |
title_fullStr |
Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images |
title_full_unstemmed |
Analyzing Sea Surface Wind Distribution Characteristics of Tropical Cyclone Based on Sentinel-1 SAR Images |
title_sort |
analyzing sea surface wind distribution characteristics of tropical cyclone based on sentinel-1 sar images |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/43b7ffad218e402c88370ca24067ac2d |
work_keys_str_mv |
AT yuangao analyzingseasurfacewinddistributioncharacteristicsoftropicalcyclonebasedonsentinel1sarimages AT jiezhang analyzingseasurfacewinddistributioncharacteristicsoftropicalcyclonebasedonsentinel1sarimages AT changlongguan analyzingseasurfacewinddistributioncharacteristicsoftropicalcyclonebasedonsentinel1sarimages AT jiansun analyzingseasurfacewinddistributioncharacteristicsoftropicalcyclonebasedonsentinel1sarimages |
_version_ |
1718410582812524544 |