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Surface Wave Developments under Tropical Cyclone Goni (2020): Multi-Satellite Observations and Parametric Model Comparisons  id статьи: 2308
Тип публикации
статья в журнале
Язык
En
Журнал
Remote Sensing

ISSN:20724292
eSSN:2072-4292
Год
2022
Выходные данные
том 14
выпуск 9
страницы № 2032
Авторы
Mironov, A.1
Mouche, A.1
Collard, F.1
Chapron, B.1
EDN
Абстракт
Over the Philippine Sea, the tropical cyclone (TC) Goni reaches category 5 on 29–31 October 2020. Multi-satellite observations, including CFOSAT SWIM/SCAT and Sentinel-1 SAR data, are jointly analyzed to assess the performances of a parametric model. Recently developed to provide a fast estimation of surface wave developments under rapidly evolving TCs, this full 2D parametric model (KYCM) and its simplified self-similar solutions (TC-wave geophysical model function (TCW GMF)) are thoroughly compared with satellite observations. TCW GMF provides immediate first-guess estimates, at any location in space and time, for the significant wave height, wavelength, and wave direction parameters. Moving cyclones trigger strong asymmetrical wave fields, associated to a resonance between wave group velocity and TC heading velocity. For TC Goni, this effect is well evidenced and captured, leading to extreme waves reaching up to 8 m, further outrunning as swell systems with wavelengths about 200–250 m in the TC heading direction, slightly shifted leftwards. Considering wind field constrained with very highly resolved Sentinel-1 SAR measurements and medium resolution CFOSAT SCAT data, quantitative agreements between satellite measurements and KYCM/TCW GMF results are obtained. Far from the TC inner core (∼10 radii of maximum wind speed), the superposition of outrunning swell systems and local wind waves estimates leads to Hs values very close to altimeter measurements. This case study demonstrates the promising capabilities to combine multi-satellite observations, with analytical self-similar solutions to advance improved understandings of surface wave generation under extreme wind conditions. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
Ключевые слова
altimeter, CFOSAT, ocean wave observation and modeling, tropical cyclones, wave directional properties
Дата занесения
2022-05-24 10:53:32
Scopus
Статус есть
Квартиль Q1
WoS
Статус есть
Квартиль Q1
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12
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Финансирование:

0555-2021-0004

0736-2020-0005

21-17-00236
Исследования поверхностных волн и их обрушений в тропических и полярных циклонах на основе спутниковых измерений и моделирования