dc.contributor.authorHsu, C.-T.
dc.contributor.authorMatsuo, T.
dc.contributor.authorYue, X.
dc.contributor.authorFang, Tzu-Wei
dc.contributor.authorFuller-Rowell, T.
dc.contributor.authorIde, K.
dc.contributor.authorLiu, J.-Y.
dc.date.accessioned2018-07-26T04:20:21Z
dc.date.available2018-07-26T04:20:21Z
dc.date.issued2018
dc.identifier.citationHsu, C.-T., Matsuo, T., Yue, X., Fang, T.-W., Fuller-Rowell, T., Ide, K., et al. (2018). Assessment of the impact of FORMOSAT‐7/COSMIC‐2 GNSS RO observations on midlatitude and low‐latitude ionosphere specification : observing system simulation experiments using ensemble square root filter. Journal of Geophysical Research: Space Physics, 123(3), 2296-2314.en_US
dc.identifier.issn2169-9402en_US
dc.identifier.urihttp://hdl.handle.net/10220/45245
dc.description.abstractThe Formosa Satellite‐7/Constellation Observing System for Meteorology, Ionosphere, and Climate‐2 (FORMOSAT‐7/COSMIC‐2) Global Navigation Satellite System radio occultation (RO) payload can provide global observations of slant total electron content (sTEC) with an unprecedentedly high spatial temporal resolution. Recently, a new ionospheric data assimilation system, the Community Gridpoint Statistical Interpolation (GSI) Ionosphere, is constructed with the National Oceanic and Atmospheric Administration GSI Ensemble Square Root Filter and the Global Ionosphere Plasmasphere and the Thermosphere Ionosphere Electrodynamic General Circulation Model. The paper demonstrates the capability of the GSI Ionosphere to improve the ionospheric specification and make a quantitative assessment of the impact of FORMOSAT‐7/COSMIC‐2 RO data on the ionospheric observing system simulation experiments conducted to calibrate key Ensemble Square Root Filter parameters that control detrimental effects of the sampling errors, particularly on the ensemble‐based estimation of the correlation between observations and model states, in order to yield high‐quality assimilation analysis. Results from the observing system simulation experiments show that (1) an ensemble size larger than 70 is recommended for assimilation of RO sTEC data with the GSI Ionosphere and (2) localizing the impact of observations around the tangent points in the horizontal direction with a length scale of 5,000 km is effective in improving assimilation analysis quality. Assimilation of sTEC data from FORMOSAT‐7/COSMIC‐2 can considerably improve the global ionospheric specification through the application of the GSI Ionosphere. The GSI Ionosphere can provide instantaneous global pictures of the ionosphere variability and help characterize day‐to‐day variability of the ionosphere and deepen our understanding of the observed day‐to‐day variability.en_US
dc.format.extent19 p.en_US
dc.language.isoenen_US
dc.relation.ispartofseriesJournal of Geophysical Research: Space Physicsen_US
dc.rights© 2018 American Geophysical Union. This paper was published in Journal of Geophysical Research: Space Physics and is made available as an electronic reprint (preprint) with permission of American Geophysical Union. The published version is available at: [http://dx.doi.org/10.1002/2017JA025109]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.en_US
dc.subjectIonosphericen_US
dc.subjectEnsemble Square Root Filteren_US
dc.titleAssessment of the impact of FORMOSAT‐7/COSMIC‐2 GNSS RO observations on midlatitude and low‐latitude ionosphere specification : observing system simulation experiments using ensemble square root filteren_US
dc.typeJournal Article
dc.contributor.researchSatellite Research Centreen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.identifier.doihttp://dx.doi.org/10.1002/2017JA025109
dc.description.versionPublished versionen_US


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