付乃锋 (Naifeng Fu)

付乃锋 (Naifeng Fu)

理学博士，海洋科学与技术博士后，航空航天领域正高级工程师（2022年3月）。研究方向：GNSS-R/-RO技术设备研制及数据应用，数值优化，GNSS掩星，电离层建模及同化，大气反演，机器学习，计算机可视化。

Publications

📚 出版物统计概览

总论文数: 26篇 (2015–2026)
最近5年论文数: 15篇 (2021–2026)
主要研究领域: GNSS 掩星/反演、电离层建模与同化、GNSS-R 遥感、大气与气象应用

🔬 研究领域分布

（按论文主题归类，一篇论文仅计入一类）

pie title 研究领域分布 (26篇论文)
    "掩星与大气反演" : 10
    "电离层建模与同化" : 9
    "GNSS-R 遥感" : 4
    "气象应用与其他" : 3

📅 按年份分布

年份论文数主要研究内容代表性论文
20261篇电离层混合数据同化GNSS VTEC 与掩星混合同化（JGR）
20253篇云遥掩星星座与在轨定标极化掩星定标、中性大气掩星反演、YUNYAO 数据质量评估
20242篇赤道等离子体气泡、多系统掩星EPB 动态特征、云遥多系统 GNSS 掩星反演
20232篇GPS/PWV 分析、TJU#01 卫星任务短时强降水分析、气象微卫星电离层探测
20222篇ZTD 评估、CYGNSS 海面风速COSMIC 掩星 ZTD 评估、GNSS-R 风速反演
20215篇等离子层尺度高度、GNSS-R、磁暴电离层尺度高度建模、EOF 高风速反演、三维电离层综述
20204篇山基掩星、同化假设、GNSS-R山基大气掩星、BDS GEO 反射测高、Vary-Chap 尺度高度
20193篇Abel 反演、电离层分步同化Abel 反演评估、同化方法及勘误说明
20181篇IRI 模型改进IRI F2 层参数改进
20162篇LEO-LEO 掩星、IRI 顶侧修正LEO-LEO 掩星数据处理、电离层尺度高度全球建模
20151篇等离子层同化COSMIC/GPS 斜路径 TEC 同化

🎯 研究重点与贡献

核心技术贡献

1. GNSS 掩星数据处理与应用

2. 电离层建模与同化

3. GNSS-R 与大气观测

A Hybrid Data Assimilation of GNSS Ground-Based VTEC and Radio Occultation Ionospheric Measurements Using Kalman Filter and Deep Learning

Published in Journal of Geophysical Research: Space Physics, 2026

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Recommended citation: M.J. Wu, P. Guo, **Naifeng Fu**, Y. Gao, J.C. Xue, B.Z. Pang, Y.H. Cai "A Hybrid Data Assimilation of GNSS Ground-Based VTEC and Radio Occultation Ionospheric Measurements Using Kalman Filter and Deep Learning." Journal of Geophysical Research: Space Physics, 2026, 131(5), e2025JA034893. https://doi.org/10.1029/2025JA034893

The Yunyao LEO Satellite Constellation: Occultation Results of the Neutral Atmosphere Using Multi-System Global Navigation Satellites

Published in Remote Sensing, 2025

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Recommended citation: Hengyi Yue, **Naifeng Fu**, Fenghui Li, Yan Cheng, Mengjie Wu, Peng Guo, Wenli Dong, Xiaogong Hu, Feixue Wang "The Yunyao LEO Satellite Constellation: Occultation Results of the Neutral Atmosphere Using Multi-System Global Navigation Satellites." Remote Sensing, 2025, 17(16), 2851. https://doi.org/10.3390/rs17162851

Sea Surface Wind Speed Retrieval Based on Empirical Orthogonal Function Analysis Using 2019–2020 CYGNSS Data

Published in IEEE Transactions on Geoscience and Remote Sensing, 2022

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Recommended citation: Jianming Wu, YanLing Chen, Peng Guo, Xiaoya Wang, Xiaogong Hu, Mengjie Wu, Fenghui Li, **Naifeng Fu**, Yanzhen Hao "Sea Surface Wind Speed Retrieval Based on Empirical Orthogonal Function Analysis Using 2019–2020 CYGNSS Data." IEEE Transactions on Geoscience and Remote Sensing, 2022. https://doi.org/10.1109/TGRS.2022.3169832

Vertical characterization on global ionospheric variations during the magnetic storm in September 2017 with hierarchical subtraction method

Published in Advances in Space Research, 2021

摘要

Recommended citation: Xin Song, Rong Yang, Xingqun Zhan, **Naifeng Fu**, Zhe Yang, Xumin Yu "Vertical characterization on global ionospheric variations during the magnetic storm in September 2017 with hierarchical subtraction method." Advances in Space Research, 2022. https://www.sciencedirect.com/science/article/pii/S0273117721008838

The Empirical Orthogonal Function Theory and Simulation Research for Spaceborne GNSS-R Sea Surface High Wind Speed Retrieval

Published in 2021 IEEE Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity (GNSS+R), 2021

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Recommended citation: Jianming Wu, Yanling Chen, Peng Guo, Xiaoya Wang, Xiaogong Hu, Mengjie Wu, Fenghui Li, **Naifeng Fu** "The Empirical Orthogonal Function Theory and Simulation Research for Spaceborne GNSS-R Sea Surface High Wind Speed Retrieval." 2021 IEEE GNSS+R, 2021, 65-68. https://doi.org/10.1109/GNSSR53802.2021.9617720

Sea Surface Height Estimation by Ground-Based BDS GEO Satellite Reflectometry

Published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020

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Recommended citation: J. Wu, Y. Chen, F. Gao, P. Guo, X. Wang, X. Niu, M. Wu, **Naifeng Fu** "Sea Surface Height Estimation by Ground-Based BDS GEO Satellite Reflectometry." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020. https://doi.org/10.1109/JSTARS.2020.3024743

The analysis of assumptions’ error sources on assimilating ground-based/spaceborne ionospheric observations

Published in Journal of Atmospheric and Solar-Terrestrial Physics, 2020

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Recommended citation: **Naifeng Fu**, Peng Guo, Yanling Chen, Mengjie Wu, Yong Huang, Xiaogong Hu, Zhenjie Hong "The analysis of assumptions’ error sources on assimilating ground-based/spaceborne ionospheric observations." Journal of Atmospheric and Solar-Terrestrial Physics, 2020. https://doi.org/10.1016/j.jastp.2020.105354