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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.
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Posts
Future Blog Post
Published:
For more interesting games or algorithms, check out “Mapoet’s GitHub” or check out the starred projects…
Fortran的Namelist
Published:
通过Namelist来便捷Fortran编程
CESM学习
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。
自动微分中的连续性问题
Published:
通过构建sigmoid函数来解决选择语句及分段函数的连续性问题。
GXNA
Published:
这里介绍一下TNNA的升级——GXNA的设想
TNNA
Published:
这里介绍一下TNNA
球谐拟合
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
平流层产品及其验证
Published:
这里介绍关于平流层相关的公式与内容
ECWMF数据下载及简单处理
Published:
这里主要简单叙述一下ECWMF数据下载与使用
GNSS技术及其误差
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.
Published:
OpenGL.
SuperCube.
Published:
Rubiks Cube With Custom order implemented through OpenGL.
Study on Global Ionospheric Assimilation Model.
Published:
Global Ionospheric Assimilation Model: Data, Method, Errors, and the DCBs of receivers and transmitters.
Multi-body motion visualization.
Published:
Multi-body motion visualization driven by the EIH equation is implemented by OpenGL.
Blog Post 2
Published:
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在Github上的生活
Published:
在GitHub上开始新的生活，记录新的生活
portfolio
Research Assistant， Shanghai Astronomical Observatory
Assisting teachers in completing reports and experiments.
Teacher Assistant， Shanghai Astronomical Observatory
In the Shanghai Youth Science Innovation Practice, I assisted Li Ligang, a researcher to complete the project Light Speed Measurement Based on Io eclipse.
publications
Retrieval Processing Technique For LEO-LEO Radio Occultation Atmospheric Data and Error Sources Analysis
Published in RemoteSensingScience, 2016
By statistics of the retrieval temperature and humidity, we found: the existing satellite clock stability and the LEO satellite orbit determination accuracy meet the needs of the occultation inversion.
Recommended citation: Fu N. F., Guo P., Wu M.J., etal. Retrieval Processing Technique For LEO-LEO Radio Occultation Atmospheric Data and Error Sources Analysis [J]. RemoteSensingScience, 2016, 4(2): 51 - 64. http://www.ivypub.org/RSS/download/33584.shtml
The Two-Parts Step-by-Step Ionospheric Assimilation Based on Ground-Based/Spaceborne Observations and Its Verification.
Published in Remote Sens., 2019
This study introduced a Kalman filtering assimilation model that considers the DCB errors of GPS/LEO satellites and GNSS stations. The assimilation results and reliability were verified by various types of data, such as ionMap, ionosonde, ISR, and the EDP of ionPrf from COSMIC.
Recommended citation: Fu, N.; Guo, P.; Wu, M.; Huang, Y.; Hu, X.; Hong, Z. The Two-Parts Step-by-Step Ionospheric Assimilation Based on Ground-Based/Spaceborne Observations and Its Verification. Remote Sens. 2019, 11, 1172. https://www.mdpi.com/2072-4292/11/10/1172
Simulating and Assimilating Ionospheric Observations with Multisources.
Published in Advances in Space Research, 2019
With the Nequick model as the initial field of the Kalman-filter(KF) algorithm, the global ionospheric density field was constructed by KF algorithm, and the subsequent works were processed.
Recommended citation: Fu, N.; Guo, P.; Wu, M.; Huang, Y.; Hu, X.; Hong, Z. Simulating and Assimilating Ionospheric Observations with Multisources. Advances in Space Research 2019.
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.