Document généré le 18/05/2026 depuis l'adresse: https://www.documentation.eauetbiodiversite.fr/fr/notice/observations-globales-des-vents-et-des-vagues-de-surface-de-l-ocean-a-l-aide-de-mesures-de-radars-a-synthese-d-ouverture-spatiaux
Observations globales des vents et des vagues de surface de l'océan à l'aide de mesures de radars à synthèse d'ouverture spatiaux
Titre alternatif
Producteur
Contributeur(s)
Éditeur(s)
Ecole nationale supérieure Mines-Télécom Atlantique
Identifiant documentaire
9-61575
Identifiant OAI
oai:archimer.ifremer.fr:61575
Auteur(s):
Huimin, Li
Mots clés
Radar à synthèse d'ouverture
Vents et vagues océaniques
Synthetic aperture radar
Ocean winds
Ocean waves
Date de publication
07/06/2019
Date de création
Date de modification
Date d'acceptation du document
Date de dépôt légal
Langue
fre
Thème
Type de ressource
Source
Droits de réutilisation
info:eu-repo/semantics/openAccess
Région
Département
Commune
Description
Spaceborne synthetic aperture radar (SAR) has been demonstrated invaluable in observing the global ocean winds and waves. SAR images acquired by multiple sensors are employed, including Sentinel-1(S-1), Envisat/ASAR, Gaofen-3 and Radarsat-2. This thesis reviews the commonly used SAR parameters (NRCS and azimuth cutoff) in the first part. A series of calibration steps are required to obtain a proper NRCS and assessment of NRCS is carried out for S-1wave mode (WV). It turns out that WV is poorly calibrated and is thus re-calibrated to obtain accurate NRCS. Azimuth cut off is demonstrated to be complementary to NRCS and can account for the sea state impact on the wind retrieval. Based on the available fully polarimetric SAR products, azimuth cut off is found to vary greatly with polarizations. The present SAR mapping transformation is sufficient to interpret the co-polarized azimuth cut off, while not for the cross-polarization. With the limitations of SAR imaging in mind, a new parameter is proposed and defined based on the SAR image cross-spectra, termed as MACS. The imaginary part of MACS is found to be a signed quantity relative to the wind direction. Given this dependence, an independent wind retrieval algorithm is expected to benefit. The magnitude of MACS is able to aid for estimate of modulation function of SAR mapping. In addition, MACS also gives promising results regarding the global wave studies. The global signatures of MACS at various wave lengths are well representative of the winds distributions, spatially and seasonally. MACS of long waves shows greater values over the storm tracks while the shorter waves are mostly within the trader winds. These results are expected to help evaluate the model outputs and complement further studies of the global wave spectral climate. Data continuity in the coming 10 years shall extend the study towards longer duration.
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