Friction Velocity and Aerodynamic Drag Coefficient Retrieval from Sentinel-1 IW Cross-Polarization C-SAR Images under Hurricane Conditions

Author:

Ermakova Olga1ORCID,Rusakov Nikita1,Poplavsky Evgeny1ORCID,Sergeev Daniil1,Troitskaya Yuliya1

Affiliation:

1. Institute of Applied Physics of the Russian Academy of Sciences, 603950 Nizhny Novgorod, Russia

Abstract

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 H14E 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.

Funder

Russian Science Foundation

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference52 articles.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Tropical cyclone signatures in SAR ocean radial Doppler Velocity;Remote Sensing of Environment;2024-09

2. Wind Speed Analysis Method within WRF-ARW Tropical Cyclone Modeling;Journal of Marine Science and Engineering;2023-06-16

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