A Geophysical Model Function-Based Approach to Estimate the Wind Speed in the Gulf of Salerno Using C-Band SAR Data

In this study, the Geophysical Model Function (GMF) based approach is used to estimate the wind field at the Gulf of Salerno, and preliminary results obtained using the C-band data set are shown. Sentinel-I Ground range detected (GRD) data sets are exploited to derive Synthetic Aperture Radar (SAR) based wind field by C-band model (CMOD) GMFs driven by Scatterometer-based wind directions. The SAR-derived wind field is then compared with collocated scatterometer measurements and model wind field data from European Center for Medium-Range Weather Forecasts (ECMWF).

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Published
2024-10-14
DOI
https://doi.org/10.1109/metrosea62823.2024.10765738
Primary Topic
Ocean Waves and Remote Sensing
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article
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article

A Geophysical Model Function-Based Approach to Estimate the Wind Speed in the Gulf of Salerno Using C-Band SAR Data

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A Geophysical Model Function-Based Approach to Estimate the Wind Speed in the Gulf of Salerno Using C-Band SAR Data

Maurizio Migliaccio, Giovanna Inserra, Katrin Schröeder, Andrea Buono, Mauro Caccavale, Giuseppe Grieco, Muhammad Adil
article en

Abstract

In this study, the Geophysical Model Function (GMF) based approach is used to estimate the wind field at the Gulf of Salerno, and preliminary results obtained using the C-band data set are shown. Sentinel-I Ground range detected (GRD) data sets are exploited to derive Synthetic Aperture Radar (SAR) based wind field by C-band model (CMOD) GMFs driven by Scatterometer-based wind directions. The SAR-derived wind field is then compared with collocated scatterometer measurements and model wind field data from European Center for Medium-Range Weather Forecasts (ECMWF).

Parthenope University of Naples (IT), Istituto Nazionale di Geofisica e Vulcanologia (IT), Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche (IT)
Openalex Percentile: Top 78%
Ocean Waves and Remote Sensing
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