Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions
This study presents an approach for friction velocity and aerodynamic drag coefficient retrieval utilizing C-band VH SAR observations from Sentinel-1. The dataset contained 14 SAR images collected under six hurricane scenes co-analyzed with stepped frequency microwave radiometer (SFMR) measurements....
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MDPI AG
2023-04-01
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Online Access: | https://www.mdpi.com/2072-4292/15/8/1985 |
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author | Olga Ermakova Nikita Rusakov Evgeny Poplavsky Daniil Sergeev Yuliya Troitskaya |
author_facet | Olga Ermakova Nikita Rusakov Evgeny Poplavsky Daniil Sergeev Yuliya Troitskaya |
author_sort | Olga Ermakova |
collection | DOAJ |
description | This study presents an approach for friction velocity and aerodynamic drag coefficient retrieval utilizing C-band VH SAR observations from Sentinel-1. The dataset contained 14 SAR images collected under six hurricane scenes co-analyzed with stepped frequency microwave radiometer (SFMR) measurements. The basis for creating this approach utilizes the results proposed earlier linking the parameters of the atmospheric boundary layer from GPS-dropsondes data to the ocean surface emissivity from SFMR measurements. The obtained dependencies of the ocean surface emissivity on surface friction velocity, aerodynamic drag coefficient, and surface wind speed are analyzed together with the collocated SAR data leading to the new GMF valid for the retrieval of friction velocities ranging from 0.55–1.56 m/s and drag coefficient values ranging from 0.00076–0.00232 for all sub swaths. Within the framework of the proposed approach, dependences of the normalized radar cross-section on the surface wind speed were also obtained and used for comparison with existing GMFs to show that the proposed approach is valid. A good consistency was obtained when comparing our results with H14<sub>E</sub> and MS1A. As an example the distributions of friction velocity, drag coefficient, and surface wind speed retrieved from the Hurricane Maria SAR image (23 September 2017) were considered. |
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institution | Directory Open Access Journal |
issn | 2072-4292 |
language | English |
last_indexed | 2024-03-11T04:34:36Z |
publishDate | 2023-04-01 |
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spelling | doaj.art-0246a6182a344849b77c4a0dd77cb1022023-11-17T21:10:24ZengMDPI AGRemote Sensing2072-42922023-04-01158198510.3390/rs15081985Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane ConditionsOlga Ermakova0Nikita Rusakov1Evgeny Poplavsky2Daniil Sergeev3Yuliya Troitskaya4Institute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, RussiaInstitute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, RussiaInstitute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, RussiaInstitute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, RussiaInstitute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, RussiaThis study presents an approach for friction velocity and aerodynamic drag coefficient retrieval utilizing C-band VH SAR observations from Sentinel-1. The dataset contained 14 SAR images collected under six hurricane scenes co-analyzed with stepped frequency microwave radiometer (SFMR) measurements. The basis for creating this approach utilizes the results proposed earlier linking the parameters of the atmospheric boundary layer from GPS-dropsondes data to the ocean surface emissivity from SFMR measurements. The obtained dependencies of the ocean surface emissivity on surface friction velocity, aerodynamic drag coefficient, and surface wind speed are analyzed together with the collocated SAR data leading to the new GMF valid for the retrieval of friction velocities ranging from 0.55–1.56 m/s and drag coefficient values ranging from 0.00076–0.00232 for all sub swaths. Within the framework of the proposed approach, dependences of the normalized radar cross-section on the surface wind speed were also obtained and used for comparison with existing GMFs to show that the proposed approach is valid. A good consistency was obtained when comparing our results with H14<sub>E</sub> and MS1A. As an example the distributions of friction velocity, drag coefficient, and surface wind speed retrieved from the Hurricane Maria SAR image (23 September 2017) were considered.https://www.mdpi.com/2072-4292/15/8/1985remote sensingradar cross-sectionC-banddrag coefficientwind stressgeophysical model function |
spellingShingle | Olga Ermakova Nikita Rusakov Evgeny Poplavsky Daniil Sergeev Yuliya Troitskaya Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions Remote Sensing remote sensing radar cross-section C-band drag coefficient wind stress geophysical model function |
title | Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions |
title_full | Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions |
title_fullStr | Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions |
title_full_unstemmed | Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions |
title_short | Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions |
title_sort | friction velocity and aerodynamic drag coefficient retrieval from sentinel 1 iw cross polarization c sar images under hurricane conditions |
topic | remote sensing radar cross-section C-band drag coefficient wind stress geophysical model function |
url | https://www.mdpi.com/2072-4292/15/8/1985 |
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