Validation of Quikscat-Derived Coastal Winds

This study presents a validation analysis of the coastal winds derived from the pencil-beam SeaWinds scatterometer, which flew onboard the US satellite platform QuikSCAT, by means of the winds derived from the European Envisat Advanced Synthetic Aperture Radar (ASAR). QuikSCAT Normalized Radar Cross Sections (NRCSs) are first cor-rected to mitigate land contamination with a method called “noise regularization”. ASAR -derived wind directions are obtained with a Residual Neural Network (ResNet) scheme, which are then used to invert wind speeds using the C-band SAR Geophysical Model Function (GMF) CSAR_Mod2. Preliminary results on nine ASARlQuikSCAT collocations offshore Norway show that when ASAR winds are upscaled to a spatial resolution comparable to that of QuikSCAT-derived winds, the vector Root Mean Square Difference (vRMSD) amounts to 2.9 ms-<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> within 40 km to the coast-line, better than 3.2 ms-<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> for offshore winds.

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/metrosea62823.2024.10765647
Primary Topic
Coastal and Marine Dynamics
Type
article
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article

Validation of Quikscat-Derived Coastal Winds

Andrea Zanchetta, Anton Verhoef, S. Zecchetto, Marcos Portabella et al.
Coastal and Marine Dynamics
article

Validation of Quikscat-Derived Coastal Winds

Andrea Zanchetta, Anton Verhoef, S. Zecchetto, Marcos Portabella, Giuseppe Grieco, A. Stoffelert
article en

Abstract

This study presents a validation analysis of the coastal winds derived from the pencil-beam SeaWinds scatterometer, which flew onboard the US satellite platform QuikSCAT, by means of the winds derived from the European Envisat Advanced Synthetic Aperture Radar (ASAR). QuikSCAT Normalized Radar Cross Sections (NRCSs) are first cor-rected to mitigate land contamination with a method called “noise regularization”. ASAR -derived wind directions are obtained with a Residual Neural Network (ResNet) scheme, which are then used to invert wind speeds using the C-band SAR Geophysical Model Function (GMF) CSAR_Mod2. Preliminary results on nine ASARlQuikSCAT collocations offshore Norway show that when ASAR winds are upscaled to a spatial resolution comparable to that of QuikSCAT-derived winds, the vector Root Mean Square Difference (vRMSD) amounts to 2.9 ms-<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> within 40 km to the coast-line, better than 3.2 ms-<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> for offshore winds.

Royal Netherlands Meteorological Institute (NL), Hong Kong Baptist University (HK), Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche (IT), Institut de Ciències del Mar (ES), National Research Council (IT)
Life below water
Openalex Percentile: Top 75%
Coastal and Marine Dynamics
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