Work

Validation of Quikscat-Derived Coastal Winds

Year: 2024

Type: conference-paper

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-1within 40 km to the coast-line, better than 3.2 ms-1for offshore winds.

Source: IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters (MetroSea)

DOI: 10.1109/metrosea62823.2024.10765647

Authors: G. Grieco, M. Portabella, A. Stoffelert, A. Verhoef, S. Zecchetto, A. Zanchetta

Institutions: Istituto di Scienze Marine del Consiglio Nazionale delle Ricerche, National Research Council, Consejo Superior de Investigaciones Científicas, Institut de Ciències del Mar, Royal Netherlands Meteorological Institute, Istituto di Scienze Polari, Hong Kong Baptist University

Language: English

Topic: Ocean Waves and Remote Sensing

Subfield: Oceanography

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W4404955005

FWCI:

Cites: 8

Cited by:

Related to: 10