Evaluation and deep learning-based calibration of nearshore sea surface wind speeds from FY-3E GNOS-II and Tianmu-1 missions

Evaluation and deep learning-based calibration of nearshore sea surface wind speeds from FY-3E GNOS-II and Tianmu-1 missions

This study evaluates and calibrates wind products derived from Global Navigation Satellite System Reflectometry (GNSS-R) using data from the FengYun-3E (FY-3E) global navigation satellite system occultation sounder II (GNOS-II) and Tianmu-1 missions. The research highlights the significance of remot...

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Bibliographic Details
Main Authors: Xinhai Han, Xiaohui Li, Jingsong Yang, Wei Tao, Guoqi Han, Jiuke Wang, Yiqi Wang, Qinghua Bao, Lin Chen, Weiqiang Li
Format: Article
Language:English
Published: Taylor & Francis Group 2025-04-01
Series:Geo-spatial Information Science
Subjects:
FengYun-3E (FY-3E)
Tianmu-1
Global Navigation Satellite System Reflectometry (GNSS-R)
sea surface wind speed
nearshore
deep learning
Online Access:https://www.tandfonline.com/doi/10.1080/10095020.2024.2441473
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https://www.tandfonline.com/doi/10.1080/10095020.2024.2441473

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