Abstract
ABSTRACT Atmospheric fronts are one of the important atmospheric phenomena in the marine atmospheric boundary layer. Currently, the detection of atmospheric fronts relies on low-resolution global Numerical Weather Prediction (NWP) gridded datasets, which cannot analyse the fine-scale structural features of atmospheric fronts. High-resolution Synthetic Aperture Radar (SAR) imagery can be used to study the structure and characteristics of atmospheric fronts, but the potential of SAR-retrieved high-resolution wind field for atmospheric fronts detection has not yet been fully exploited. In this paper, we have presented for the first time a method for atmospheric fronts detection and cold/warm type determination based on sea surface wind field retrieval from SAR imagery. The proposed method was experimentally validated using Sentinel-1 SAR images, and the detection and determination results were compared with those from classical methods and the surface maps analyses datasets. The results showed good consistency, demonstrating the effectiveness of the proposed method.
Published Version
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