付乃锋 (Naifeng Fu)

付乃锋 (Naifeng Fu)

理学博士，天津大学博士后，GNSS-R/-RO技术设备研制及数据应用专家。研究方向：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。

Sitemap

A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

For more interesting games or algorithms, check out “Mapoet’s GitHub” or check out the starred projects…

Fortran的Namelist

less than 1 minute read

Published:

通过Namelist来便捷Fortran编程

CESM学习

4 minute read

Published:

CESM融合了多种物理模型及数据同化模块，进行气候模拟与大气研究极为重要。

GXNA

less than 1 minute read

Published:

这里介绍一下TNNA的升级——GXNA的设想

球谐拟合

less than 1 minute read

Published:

这里介绍对时间及空间分布数据分析方法->考虑时间变化的球谐拟合

GNSS技术及其误差

2 minute read

Published:

这里主要分析一下GNSS技术的研究，以及多种方面的用途

OpenGL.

less than 1 minute read

Published:

OpenGL.

在Github上的生活

less than 1 minute read

Published:

在GitHub上开始新的生活，记录新的生活

portfolio

publications

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

Use Google Scholar for full citation

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.

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

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

Use Google Scholar for full citation

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.

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

Published in Advances in Space Research, 2022

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

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

Use Google Scholar for full citation

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.

talks

Error Sources of Imaging the Ionosphere and Assimilating the Ionospheric Observations from Multi-constellation/system.

Published:

In this paper, using the International Reference Ionosphere model as the real field, ionospheric observational data from ground-based and spaceborne systems on Jan. 1st, 2008 were simulated. With the Nequick model as the background field,the global ionospheric density field was constructed by the Kalman-filter algorithm, and the subsequent work was processed. Various errors and influences in the ionospheric inversion, especially easily overlooked errors, were analyzed,and corresponding improvement methods were proposed and verified.The effects of constellation/system observations on the observation quality and spatial distribution configuration of the ionospheric inversion were analyzed.Then,the characteristics of the Kalman filter assimilation algorithm and Abel inversion algorithm were compared.

Through assimulation local areas in space were over corrected due to the effects of the top layer; these overcorrections should be reduced before processing,and the time/grid correction can effectively and steadily improve the assimilation accuracy. The introduction of COSMIC occultation data can effectively fill the void in the ocean data and increase the ionospheric observational density and horizontal accuracy significantly, and it was showed that the Kalman filter assimilation algorithm has higher accuracy,especially in ionospheric peak altitude.

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

Published:

Use Google Scholar for full citation

Recommended citation: Jianming Wu, Yanlin 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 Specialist Meeting on Reflectometry using GNSS and other Signals of Opportunity (GNSS+R), 2021.

teaching