2009
DOI: 10.3319/tao.2008.01.04.01(f3c)
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Assimilative Modeling of Ionospheric Disturbances with FORMOSAT-3/COSMIC and Ground-Based GPS Measurements

Abstract: AB STRACTThe four-di men sional Global Assimilative Ion o spheric Model (GAIM) is ap plied to a study of ion o spheric dis tur bances. The in ves ti ga tion is fo cused on dis tur bance fea tures, par tic u larly in the al ti tude and lat i tude di men sions, at low lat i tudes dur ing a geo mag netic storm on 7 Au gust 2006, un der so lar min i mum con di tions. The mod el ing of storm-time ion o spheric state (elec tron den sity) is con ducted by as sim i lat ing an un prec e dented vol ume of line-of-sight … Show more

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Cited by 29 publications
(32 citation statements)
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“…To reveal acoustic and gravity wave-generated TEC disturbances we use the GAIM approach. JPL/USC GAIM is a physics-based 3D data assimilation model that uses both 4DVAR and Kalman filter techniques to solve for the ion and electron density state and key drivers such as equatorial electrodynamics, neutral winds, and ion production terms (e.g., Mannucci et al, 2004;Wang et al, 2004;Mandrake et al, 2005;Pi et al, 2009;Komjathy et al, 2010). GAIM is capable of ingesting multiple data sources, updates the 3D electron density grid every 5-12 minutes, and solves for improved drivers every 1-2 hours.…”
Section: Real-time Gaim Applicationmentioning
confidence: 99%
“…To reveal acoustic and gravity wave-generated TEC disturbances we use the GAIM approach. JPL/USC GAIM is a physics-based 3D data assimilation model that uses both 4DVAR and Kalman filter techniques to solve for the ion and electron density state and key drivers such as equatorial electrodynamics, neutral winds, and ion production terms (e.g., Mannucci et al, 2004;Wang et al, 2004;Mandrake et al, 2005;Pi et al, 2009;Komjathy et al, 2010). GAIM is capable of ingesting multiple data sources, updates the 3D electron density grid every 5-12 minutes, and solves for improved drivers every 1-2 hours.…”
Section: Real-time Gaim Applicationmentioning
confidence: 99%
“…This aspect of the GIMs does not present a major problem for their use in anomaly detection because extrapolated or seasonally averaged data are not likely to be ''out of family''. GIM and GAIM have already been used extensively in studies of disturbances, so their deviation from average behavior as represented in the data is well established (Pi et al 2009;Immel & Mannucci 2013). In fact, truly anomalous GIM maps would have to contain their anomalies in data-rich regions.…”
Section: Description Of Data Setsmentioning
confidence: 99%
“…Other ionospheric modelling methods are data-assimilative models (GAIM, at the Jet Propulsion LaboratorySchunk 2002; Pi et al 2003Pi et al , 2004Pi et al , 2009Mandrake et al 2005;Scherliess et al 2006;Komjathy et al 2010), harmonic spherical functions (Schaer 1999;Choi et al 2010;Han et al 2013) and empirical models (e.g., the International Reference Ionosphere project-IRI, http://iri.gsfc.nasa.gov/) (Strangeways 2009;Buresova et al 2009). …”
Section: Introductionmentioning
confidence: 99%