Title
Observing System Simulation Experiment Study on Imaging the Ionosphere by Assimilating Observations From Ground GNSS, LEO-Based Radio Occultation and Ocean Reflection, and Cross Link
Abstract
In this paper, a global ionospheric data assimilation model is constructed based on the empirical international-reference-ionosphere model and the Kalman filter. A sparse matrix method is used to militate the huge computation and storage problems. A series of observing system simulation experiments has been performed based on the existing global ground-based global navigation satellite system (GNSS) network, the planned Constellation Observing System for Meteorology, Ionosphere, and Climate #2/Formosa Satellite Mission #7 (COSMIC-2/FORMOSAT-7) orbits, and the real global position system and GLObal NAvigation Satellite System (GLONASS) orbits. Specifically, the COSMIC-2 will have six 24° inclination satellites in 500-km altitude and six 72° inclination satellites in 800-km altitude. The slant total electron content of ground-based GNSS, radio occultation and ocean reflection (OR) of 12 low-Earth-orbit satellites, and cross-link between COSMIC-2 low and high inclination satellites are simulated by the NeQuick model. The ORs show great impacts in specifying the ionosphere except over the inland area. It complements the existing ground-based GNSS network, which mainly observes the ionosphere over the land area. The 24° and 72° satellites can complement each other to optimize the global ionospheric specification. The COSMIC-2 mission is expected to contribute significantly to the accurate ionospheric nowcast. Its potential ability in ionospheric short-term forecast is also discussed.
Year
DOI
Venue
2014
10.1109/TGRS.2013.2275753
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
global navigation satellite system (gnss),global positioning system,kalman filter,global position system orbit,cross link,kalman filters,global navigation satellite system,leo-based radio occultation,ground-based gnss network,ocean reflection,sparse matrix method,low-earth-orbit satellite,sparse matrices,electron density,and climate #2,ionospheric techniques,data assimilation,observation assimilation,empirical international-reference-ionosphere model,and climate (cosmic),ionospheric nowcast,global ionospheric data assimilation model,formosat-7 orbit,low inclination satellite,constellation observing system for meteorology,global ground-based global navigation satellite system,ionosphere,ionospheric short-term forecast,glonass orbit,radio occultation,total electron content (atmosphere),global ionospheric specification,cosmic-2 orbit,nequick model,high inclination satellite,slant total electron content,observing system simulation experiment study,ionosphere imaging,formosa satellite mission #7,satellites,meteorology,data models
Satellite,Satellite navigation,Radio occultation,Satellite system,Remote sensing,GLONASS,Global Positioning System,GNSS applications,Mathematics,Total electron content
Journal
Volume
Issue
ISSN
52
7
0196-2892
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Xinan Yue101.35
William S. Schreiner200.34
Ying-Hwa Kuo3165.02
John J. Braun4657.70
Yu-Cheng Lin500.34
Weixing Wan6112.96