Development of the Global Assimilative Ionospheric Model
This paper provides an overview of the development of the Global Assimilative Ionospheric Model (GAIM) by a team of investigators from the University of Southern California (USC) and the Jet Propulsion Laboratory (JPL). The USC/JPL GAIM utilizes data assimilation techniques, which are widely used in...
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| Veröffentlicht in: | Radio science 2004-02, Vol.39 (1), p.n/a |
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| creator | Wang, Chunming Hajj, George Pi, Xiaoqing Rosen, I. Gary Wilson, Brian |
| description | This paper provides an overview of the development of the Global Assimilative Ionospheric Model (GAIM) by a team of investigators from the University of Southern California (USC) and the Jet Propulsion Laboratory (JPL). The USC/JPL GAIM utilizes data assimilation techniques, which are widely used in meteorological applications, for the purpose of monitoring and forecasting Earth's ionosphere. We discuss the general structure of GAIM, which includes a first‐principles model of the ionosphere, a series of auxiliary models for the driving forces, a data processing subsystem, and an optimization subsystem. Two techniques for the estimation of electron density and driving forces in the ionosphere are presented: The four‐dimensional variational method and the Kalman filter. Some validation methods and results are also presented. These results demonstrate the potential of GAIM in providing accurate specification of the ionosphere. |
| doi_str_mv | 10.1029/2002RS002854 |
| format | Article |
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Some validation methods and results are also presented. These results demonstrate the potential of GAIM in providing accurate specification of the ionosphere.</description><subject>adjoint method</subject><subject>band-limited Kalman filter</subject><subject>Global Assimilative Ionospheric Model (GAIM)</subject><subject>GPS-TEC data analysis</subject><subject>ionospheric data assimilation</subject><subject>ionospheric forecast</subject><issn>0048-6604</issn><issn>1944-799X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNqF0E1PwkAQBuCN0UREb_6AnjxZ3c9290hAEIOYgEbiZbMs01DdstgtKP_ekhrjSS8zl-edTF6Ezgm-Ipiqa4oxnUzrIQU_QC2iOI9TpWaHqIUxl3GSYH6MTkJ4xZhwkfAWkj3YgvPrAlZV5LOoWkI0cH5uXNQJIS9yZ6p8C9HQr3xYL6HMbXTvF-BO0VFmXICz791GT_2bx-5tPHoYDLudUWw5YTxWREjD5gDECMrxwmYJ8CRjnCmyACtTQnFKSf2ZtBnmjGbZAlsrCDVCGZmyNrpo7q5L_76BUOkiDxacMyvwm6CpJEIoTP-FRGJGScpreNlAW_oQSsj0uswLU-40wXrfo_7dY81Jwz9yB7s_rZ70plzJfSZuMnmo4PMnY8o3naQsFfp5PNB0PGb8ZdbXd-wLpwuBLQ</recordid><startdate>200402</startdate><enddate>200402</enddate><creator>Wang, Chunming</creator><creator>Hajj, George</creator><creator>Pi, Xiaoqing</creator><creator>Rosen, I. 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Gary ; Wilson, Brian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4134-9158a3bee1a5240dcf6e46f34391dec871207216608cf0432ffd0cc512a59a873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>adjoint method</topic><topic>band-limited Kalman filter</topic><topic>Global Assimilative Ionospheric Model (GAIM)</topic><topic>GPS-TEC data analysis</topic><topic>ionospheric data assimilation</topic><topic>ionospheric forecast</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Chunming</creatorcontrib><creatorcontrib>Hajj, George</creatorcontrib><creatorcontrib>Pi, Xiaoqing</creatorcontrib><creatorcontrib>Rosen, I. 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Gary</au><au>Wilson, Brian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of the Global Assimilative Ionospheric Model</atitle><jtitle>Radio science</jtitle><addtitle>Radio Sci</addtitle><date>2004-02</date><risdate>2004</risdate><volume>39</volume><issue>1</issue><epage>n/a</epage><issn>0048-6604</issn><eissn>1944-799X</eissn><abstract>This paper provides an overview of the development of the Global Assimilative Ionospheric Model (GAIM) by a team of investigators from the University of Southern California (USC) and the Jet Propulsion Laboratory (JPL). The USC/JPL GAIM utilizes data assimilation techniques, which are widely used in meteorological applications, for the purpose of monitoring and forecasting Earth's ionosphere. We discuss the general structure of GAIM, which includes a first‐principles model of the ionosphere, a series of auxiliary models for the driving forces, a data processing subsystem, and an optimization subsystem. Two techniques for the estimation of electron density and driving forces in the ionosphere are presented: The four‐dimensional variational method and the Kalman filter. Some validation methods and results are also presented. These results demonstrate the potential of GAIM in providing accurate specification of the ionosphere.</abstract><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2002RS002854</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Radio science, 2004-02, Vol.39 (1), p.n/a |
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| language | eng |
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| source | Wiley Free Content; Wiley-Blackwell AGU Digital Library; Wiley Online Library Journals Frontfile Complete; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | adjoint method band-limited Kalman filter Global Assimilative Ionospheric Model (GAIM) GPS-TEC data analysis ionospheric data assimilation ionospheric forecast |
| title | Development of the Global Assimilative Ionospheric Model |
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