Estimation of <b>E</b> × <b>B</b> drift using a global assimilative ionospheric model: An observation system simulation experiment

Pi, Xiaoqing; Wang, Chunming; Hajj, G. A.; Rosen, I. G.; Wilson, Brian; Bailey, G. J.

doi:10.1029/2001ja009235

Cited by 80 publications

(101 citation statements)

References 28 publications

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“…The conservation of mass and momentum equations are solved on an Earth-fixed Eulerian grid (Pi et al, 2003). The volume elements have surfaces parallel to either the magnetic field and potential lines or geomagnetic meridional planes.…”

Section: Real-time Gaim Applicationmentioning

confidence: 99%

“…The Kalman filter works to reduce the residuals in a least squares sense over the entire grid at once, weighted by the uncertainty in each voxel and the uncertainty in the incoming data sources. In the case of the 4DVAR approach, only the driving force parameters are adjusted to produce a least squares estimate of the driving forces as well as electron density (Pi et al, 2003).…”

Section: Real-time Gaim Applicationmentioning

confidence: 99%

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Detecting ionospheric TEC perturbations caused by natural hazards using a global network of GPS receivers: The Tohoku case study

et al. 2012

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Recent advances in GPS data processing have demonstrated that ground-based GPS receivers are capable of detecting ionospheric TEC perturbations caused by surface-generated Rayleigh, acoustic and gravity waves. There have been a number of publications discussing TEC perturbations immediately following the M 9.0 Tohoku earthquake in Japan on March 11, 2011. Most investigators have focused on the ionospheric responses up to a few hours following the earthquake and tsunami. In our research, in addition to March 11, 2011 we investigate global ionospheric TEC perturbations a day before and after the event. We also compare indices of geomagnetic activity on all three days with perturbations in TEC, revealing strong geomagnetic storm conditions that are also apparent in processed GEONET TEC observations. In addition to the traveling ionospheric disturbances (TIDs) produced by the earthquake and tsunami, we also detect "regular" TIDs across Japan about 5 hours following the Tohoku event, concluding these are likely due to geomagnetic activity. The variety of observed TEC perturbations are consistent with tsunami-generated gravity waves, auroral activity, regular TIDs and equatorial fluctuations induced by increased geomagnetic activity. We demonstrate our capabilities to monitor TEC fluctuations using JPL's real-time Global Assimilative Ionospheric Model (GAIM) system. We show that a real-time global TEC monitoring network is able to detect the acoustic and gravity waves generated by the earthquake and tsunami. With additional real-time stations deployed, this new capability has the potential to provide real-time monitoring of TEC perturbations that could potentially serve as a plug-in to enhance existing early warning systems.

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Section: Real-time Gaim Applicationmentioning

confidence: 99%

Section: Real-time Gaim Applicationmentioning

confidence: 99%

Detecting ionospheric TEC perturbations caused by natural hazards using a global network of GPS receivers: The Tohoku case study

et al. 2012

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“…The GAIM phys ics model is driven by sev eral em pir i cal mod els that char ac ter ize the cli ma tol ogy of so lar EUV ra di a tion spectrum, thermospheric den si ties and com po si tion as well as wind, elec tric field, and par ti cle pre cip i ta tion en ergy. A detailed de scrip tion of GAIM phys ics model can be found in Pi et al (2003). GAIM op ti mi za tion tech niques in clude the re cur sive Kalman fil ter tech nique with ap prox i ma tions (Hajj et al 2000Wang et al 2004;Pi et al 2004b;Man drake et al 2005) and the 4-dimentional variational (4DVAR) approach with an adjoint method (Rosen et al 2001;Pi et al 2003Pi et al , 2004aWang et al 2004).…”

Section: Global Assimilative Ion O Spheric Modelmentioning

confidence: 99%

“…Sev eral stud ies have been re ported in the last few years, in which line-of-sight (LOS) to tal elec tron con tent (TEC) mea sured us ing Global Po si tion ing Sys tem (GPS) re ceiv ers at ground-based sta tions are used as an as sim i lation data source to im prove the mod el ing of vol ume electron den sity, or to es ti mate se lected model driv ers (e.g., Hajj et al 2000Hajj et al , 2004Rosen et al 2001;Pi et al 2003Pi et al , 2004aSchieless et al 2004;Wang et al 2004;Man drake et al 2005; An gling and Khattatov 2006; Jee et al 2007). The mod el ing re sults of elec tron den sity are also in te grated Terr.…”

Section: Introductionmentioning

confidence: 99%

Assimilative Modeling of Ionospheric Disturbances with FORMOSAT-3/COSMIC and Ground-Based GPS Measurements

Pi¹,

Mannucci²,

Iijima³

et al. 2009

Terr. Atmos. Ocean. Sci.

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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 TEC data col lected by the Global Po si tion ing Sys tem (GPS) occultation re ceiv ers on board six FORMOSAT-3/COS MIC sat el lites and geo detic-qual ity GPS re ceiv ers at two hun dred glob ally-dis trib uted ground track ing sta tions. With a band-lim ited Kalman fil ter tech nique to up date the ion o spheric state, the assimilative mod el ing re veals a pro nounced en hance ment in the equa to rial anom aly in the East Asia sec tor dur ing dusk and eve ning hours. The dis tur bance char ac ter is tics, ob tained by com par ing with the quiet con di tions prior to the storm also mod eled in this study through data as sim i la tion, in clude lifted F layer and re duced elec tron den sity in the equa to rial re gion, en hanced den sity at the mag net i cally con ju gate anom aly lat i tudes, and tilted fea ture of den sity in crease to wards higher al ti tudes at lower lat i tudes. The char ac ter is tics are at trib uted to the en hanced plasma foun tain ef fect driven by an en hanced east ward zonal elec tric field. These re sults en able us to dis tin guish the storm-time elec tric field per tur ba tions clearly from other sources dur ing the storm. The pos si ble origins of electric field perturbations are also discussed, including penetration of the magnetospheric electric field and wind dynamo disturbances. Ocean. Sci., 20, 273-285, doi: 10.3319/TAO.2008.01.04.01(F3C) IN TRO DUC TIONThe re cent de vel op ment of assimilative ion o spheric mod els marks a tran si tion from first-prin ci ples or for ward mod el ing to a new ca pa bil ity for spec i fy ing the Earth's ion ospheric weather. A fun da men tal dif fi culty of the for ward mod el ing ap proach is the spec i fi ca tions of the weather condi tions of re quired model driv ers, in clud ing the so lar EUV ra di a tion spec trum, elec tric field in the up per at mo sphere that drives plasma con vec tion, thermospheric com po si tion and wind, and charged par ti cle pre cip i ta tion. In tra di tional mod el ing prac tice these driv ers are pro vided ei ther by es timates ob tained from em pir i cal mod els that char ac ter ize statis ti cal pat terns, or from the first prin ci ples phys ics-based mod els. The re sults of such mod el ing ap proaches of ten deviate from the weather con di tions due to the sig nif i cant variabil ity of the driv ers. Assimilative mod els in cor po rate the first-prin ci ples mod els and op ti mi za tion mod ules, al low ing as sim i la tion of mea sure ments into the for ward mod els and help ing to bring the m...

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“…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%

Sibsonian and non-Sibsonian natural neighbour interpolation of the total electron content value

et al. 2017

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In radioastronomy the interferometric measurement between radiotelescopes located relatively close to each other helps removing ionospheric effects. Unfortunately, in case of networks such as LOw Frequency ARray (LOFAR), due to long baselines (currently up to 1500 km), interferometric methods fail to provide sufficiently accurate ionosphere delay corrections. Practically it means that systems such as LOFAR need external ionosphere information, coming from Global or Regional Ionospheric Maps (GIMs or RIMs, respectively). Thanks to the technology based on Global Navigation Satellite Systems (GNSS), the scientific community is provided with ionosphere sounding virtually worldwide. In this paper we compare several interpolation methods for RIMs computation based on scattered Vertical Total Electron Content measurements located on one thin ionospheric layer (Ionospheric Pierce Points-IPPs). The results of this work show that methods that take into account the topology of the data distribution (e.g., natural neighbour interpolation) perform better than those based on geometric computation only (e.g., distanceweighted methods).

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Estimation of E × B drift using a global assimilative ionospheric model: An observation system simulation experiment

Cited by 80 publications

References 28 publications

Detecting ionospheric TEC perturbations caused by natural hazards using a global network of GPS receivers: The Tohoku case study

Detecting ionospheric TEC perturbations caused by natural hazards using a global network of GPS receivers: The Tohoku case study

Assimilative Modeling of Ionospheric Disturbances with FORMOSAT-3/COSMIC and Ground-Based GPS Measurements

Sibsonian and non-Sibsonian natural neighbour interpolation of the total electron content value

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