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

doi:10.1002/2017JA025109

	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
	Hsu, C. -T.1,2; Matsuo, T.2,3; Yue, X.4; Fang, T. -W.2,5; Fuller-Rowell, T.4; Ide, K.6; Liu, J. -Y.1
刊名	JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS
	2018-03-01
卷号	123 期号:3 页码:2296-2314
ISSN号	2169-9380
DOI	10.1002/2017JA025109
文献子类	Article
英文摘要	The 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.
WOS关键词	GENERAL-CIRCULATION MODEL ; DATA ASSIMILATION ; KALMAN FILTER ; RADIO OCCULTATION ; ELECTRODYNAMICS
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	AMER GEOPHYSICAL UNION
WOS记录号	WOS:000430125300042
资助机构	NOAA Space Weather Prediction Center ; NOAA Space Weather Prediction Center ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; National Space Organization grant(NSPO-S-104083) ; National Space Organization grant(NSPO-S-104083) ; NASA(NNX14AI17G) ; NASA(NNX14AI17G) ; AFOSR grant(FA9550-15-1-0308) ; AFOSR grant(FA9550-15-1-0308) ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; International Space Science Institute, Bern, Switzerland ; International Space Science Institute, Bern, Switzerland ; NOAA Space Weather Prediction Center ; NOAA Space Weather Prediction Center ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; National Space Organization grant(NSPO-S-104083) ; National Space Organization grant(NSPO-S-104083) ; NASA(NNX14AI17G) ; NASA(NNX14AI17G) ; AFOSR grant(FA9550-15-1-0308) ; AFOSR grant(FA9550-15-1-0308) ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; International Space Science Institute, Bern, Switzerland ; International Space Science Institute, Bern, Switzerland ; NOAA Space Weather Prediction Center ; NOAA Space Weather Prediction Center ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; National Space Organization grant(NSPO-S-104083) ; National Space Organization grant(NSPO-S-104083) ; NASA(NNX14AI17G) ; NASA(NNX14AI17G) ; AFOSR grant(FA9550-15-1-0308) ; AFOSR grant(FA9550-15-1-0308) ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; International Space Science Institute, Bern, Switzerland ; International Space Science Institute, Bern, Switzerland ; NOAA Space Weather Prediction Center ; NOAA Space Weather Prediction Center ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; Taiwan Ministry of Science and Technology grant(MOST 105-2119-M-008-020) ; National Space Organization grant(NSPO-S-104083) ; National Space Organization grant(NSPO-S-104083) ; NASA(NNX14AI17G) ; NASA(NNX14AI17G) ; AFOSR grant(FA9550-15-1-0308) ; AFOSR grant(FA9550-15-1-0308) ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; Yellowstone by NCAR's Computational and Information Systems Laboratory - National Science Foundation ; International Space Science Institute, Bern, Switzerland ; International Space Science Institute, Bern, Switzerland
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/83214]
专题	中国科学院地质与地球物理研究所
通讯作者	Liu, J. -Y.
作者单位	1.Natl Cent Univ, Inst Space Sci, Taoyuan, Taiwan 2.Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA 3.Univ Colorado, Aerosp Engn Sci, Boulder, CO 80309 USA 4.Chinese Acad Sci, Inst Geol & Geophys, Beijing, Peoples R China 5.Nanyang Technol Univ, Sch Elect & Elect Engn, Satellite Res Ctr, Singapore, Singapore 6.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
推荐引用方式 GB/T 7714	Hsu, C. -T.,Matsuo, T.,Yue, X.,et al. 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[J]. JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS,2018,123(3):2296-2314.
APA	Hsu, C. -T..,Matsuo, T..,Yue, X..,Fang, T. -W..,Fuller-Rowell, T..,...&Liu, J. -Y..(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.
MLA	Hsu, C. -T.,et al."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(2018):2296-2314.