TY - JOUR
T1 - Tropical Cyclone Winds and Inflow Angle Asymmetry From SAR Imagery
AU - Zhang, Guosheng
AU - Li, Xiaofeng
AU - Perrie, William
AU - Zhang, Jun A.
N1 - Funding Information:
The work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) (XDB42040401), the National Key Research and Development Program of China (2019YFC1510100), the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (311020004), the Open Foundation from Marine Sciences in the First-Class Subjects of Zhejiang (20200102), the Startup Foundation for Introducing Talent of NUIST, the Key R & D project of Shandong Province (2019JZZY010102), the Key deployment project of Center for Ocean Mega-Science, CAS (COMS2019R02), and the CAS (Y9KY04101L).
Funding Information:
The work was supported by the Strategic Priority Research Program of the Chinese Academy of Sciences (CAS) (XDB42040401), the National Key Research and Development Program of China (2019YFC1510100), the Innovation Group Project of Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) (311020004), the Open Foundation from Marine Sciences in the First‐Class Subjects of Zhejiang (20200102), the Startup Foundation for Introducing Talent of NUIST, the Key R & D project of Shandong Province (2019JZZY010102), the Key deployment project of Center for Ocean Mega‐Science, CAS (COMS2019R02), and the CAS (Y9KY04101L).
Publisher Copyright:
© 2021. American Geophysical Union. All Rights Reserved.
PY - 2021/10/28
Y1 - 2021/10/28
N2 - This study developed a morphological model for Tropical Cyclone (TC) wind and inflow angle asymmetry based on sea surface wind fields derived from spaceborne synthetic aperture radar (SAR) images. The model extracts the standard TC morphological information (center, intensity, and radius of the maximum wind) and decomposes the SAR-derived winds into vortex rotation winds and motion vector, making the reconstruction of the entire TC structure reliable, even in areas not mapped by SAR. The derived wind speeds and inflow angles are verified with aircraft measurements by stepped-frequency microwave radiometer and dropsondes, obtaining root-mean-square errors of 4.32 m/s and 16.04°, respectively. A systematic analysis of 130 SAR TCs images, collected by RADARSAT-2 and SENTINEL-1, reveals that the model can capture the main asymmetrical TC structure. Both TC asymmetry and eye size decrease as TC intensity increases.
AB - This study developed a morphological model for Tropical Cyclone (TC) wind and inflow angle asymmetry based on sea surface wind fields derived from spaceborne synthetic aperture radar (SAR) images. The model extracts the standard TC morphological information (center, intensity, and radius of the maximum wind) and decomposes the SAR-derived winds into vortex rotation winds and motion vector, making the reconstruction of the entire TC structure reliable, even in areas not mapped by SAR. The derived wind speeds and inflow angles are verified with aircraft measurements by stepped-frequency microwave radiometer and dropsondes, obtaining root-mean-square errors of 4.32 m/s and 16.04°, respectively. A systematic analysis of 130 SAR TCs images, collected by RADARSAT-2 and SENTINEL-1, reveals that the model can capture the main asymmetrical TC structure. Both TC asymmetry and eye size decrease as TC intensity increases.
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U2 - 10.1029/2021GL095699
DO - 10.1029/2021GL095699
M3 - Article
AN - SCOPUS:85118250499
VL - 48
JO - Geophysical Research Letters
JF - Geophysical Research Letters
SN - 0094-8276
IS - 20
M1 - e2021GL095699
ER -