DocumentCode :
1766646
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
Author :
Xinan Yue ; Schreiner, W.S. ; Ying-Hwa Kuo ; Braun, John J. ; Yu-Cheng Lin ; Weixing Wan
Author_Institution :
Constellation Observing Syst. for Meteorol., Ionosphere, & Climate Program Office, Univ. Corp. for Atmos. Res., Boulder, CO, USA
Volume :
52
Issue :
7
fYear :
2014
fDate :
41821
Firstpage :
3759
Lastpage :
3773
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.
Keywords :
Global Positioning System; Kalman filters; data assimilation; ionosphere; ionospheric techniques; sparse matrices; total electron content (atmosphere); COSMIC-2 orbit; Constellation Observing System for Meteorology, Ionosphere, and Climate #2; FORMOSAT-7 orbit; Formosa Satellite Mission #7; GLONASS orbit; GLObal NAvigation Satellite System; Kalman filter; LEO-based radio occultation; NeQuick model; cross link; empirical international-reference-ionosphere model; global ground-based global navigation satellite system; global ionospheric data assimilation model; global ionospheric specification; global position system orbit; ground-based GNSS network; high inclination satellite; ionosphere imaging; ionospheric nowcast; ionospheric short-term forecast; low inclination satellite; low-Earth-orbit satellite; observation assimilation; observing system simulation experiment study; ocean reflection; slant total electron content; sparse matrix method; Data models; Global Navigation Satellite Systems; Global Positioning System; Ionosphere; Meteorology; Orbits; Satellites; Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC); data assimilation; electron density; global navigation satellite system (GNSS); ionosphere; ocean reflection; radio occultation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2275753
Filename :
6587745
Link To Document :
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