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Sea Surface Height Response to Tropical Cyclone from Satellite Altimeter Observations and SAR Estimates  id статьи: 3068
Тип публикации
статья в журнале
Язык
En
Журнал
IEEE Transactions on Geoscience and Remote Sensing

ISSN:01962892
Год
2024
Выходные данные
том 62
выпуск
страницы 1-9
Авторы
Zhang, B.1
Wen, L.1
Perrie, W.1
EDN
Абстракт
We present the characteristics of the sea surface height (SSH) response to tropical cyclones (TCs), based on a statistical analysis of a long time series of satellite altimeter data. SSH anomalies on both along and cross track of TC are found to be dependent on storm intensity and translation velocity. Larger sea surface troughs correspond to the stronger and slower moving TCs. The most striking trough features are located in the vicinity of TC centers. The amplitudes of wedge-shaped troughs decay in the direction normal to the storm tracks. In extreme weather conditions, these troughs are primarily caused by the vertical displacement of isopycnals in the thermocline. For very strong and slow-moving TCs, the magnitude of the sea surface depressions can reach-21 cm. The spatial distribution of SSH anomalies tends to be asymmetric for faster moving TCs, comparing both sides of the TC tracks, becoming more symmetric for slower storms. The conventional altimeter has large gaps between tracks, especially in the tropics, which leads to the absence of SSH anomaly observations. To address this inherent limitation, we apply a semi-empirical model to estimate SSH anomalies, using TC and ocean stratification parameters. When applying the maximum wind speed (MWS) and radius of the maximum wind derived from high-resolution synthetic aperture radar (SAR) gridded surface wind fields, the semi-empirical model estimates are in good overall agreement with collocated altimeter observations. These results suggest that indirect calculations of SSH anomalies may serve as an important complement for TC inner core areas when altimeter observations are not available.
Ключевые слова
Altimeter, sea surface height (SSH), synthetic aperture radar (SAR), tropical cyclone (TC)
Дата занесения
2024-05-08 21:00:57
Scopus
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