SSUSI Bibliography
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Notice:
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Found 34 entries in the Bibliography.
Showing entries from 1 through 34
| 2015 |
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The International Reference Ionosphere \textendash Status 2013 This paper describes the latest version of the International Reference Ionosphere (IRI) model. IRI-2012 includes new models for the electron density and ion densities in the region below the F-peak, a storm-time model for the auroral E-region, an improved electron temperature model that includes variations with solar activity, and for the first time a description of auroral boundaries. In addition, the thermosphere model required for baseline neutral densities and temperatures was upgraded from MSIS-86 to the newer NRLMSIS-00 model and Corrected Geomagnetic coordinates (CGM) were included in IRI as an additional coordinate system for a better representation of auroral and polar latitudes. Ongoing IRI activities towards the inclusion of an improved model for the F2 peak height hmF2 are discussed as are efforts to develop a \textquotedblleftReal-Time IRI\textquotedblright. The paper is based on an IRI status report presented at the 2013 IRI Workshop in Olsztyn, Poland. The IRI homepage is at\ IRImodel.org. Published by: Advances in Space Research Published on: 04/2015 YEAR: 2015 DOI: 10.1016/j.asr.2014.07.032 |
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A methodology for evaluating the science benefit of adding space weather sensor data from a modest number of small satellites to the Utah State University Global Assimilation of Ionospheric Measurements\textemdashFull Physics (GAIM-FP) model is presented. Three orbital scenarios are presented, two focusing on improved coverage of narrowly specified regions of interest, and one on global coverage of the ionosphere as a whole. An Observing System Simulation Experiment is used to obtain qualitative and quantitative results of the impact of the various orbital scenarios on the ionospheric specifications. A simulated \textquotedbllefttruth\textquotedblright run of the ionosphere is obtained from a first principle model of the ionosphere/plasmasphere model and used to generate global simulated Global Positioning Satellite total electron content (GPS-TEC) data as well as in situ plasma density observations. Initially, only GPS data were assimilated by GAIM-FP, and the results of this limited run were compared to the truth run. Next, the simulated in situ plasma densities corresponding to our three orbital scenarios were assimilated together with the GPS data, and the results were compared to both the truth run and the limited GPS-TEC only GAIM-FP run. These model simulations have shown that adding a constellation of small satellites/sensors in addition to global TEC inputs does indeed converge the GAIM-FP model closer to truth in the situations described. Balthazor, Richard; McHarg, Matthew; Enloe, Lon; Mueller, Brandon; Barnhart, David; Hoeffner, Zachary; Brown, Robert; Scherliess, Ludger; Wilhelm, Lance; Published by: Radio Science Published on: 04/2015 YEAR: 2015 DOI: 10.1002/2014RS005426 |
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During the ascending phase of solar cycle 24, a series of interplanetary coronal mass ejections (ICMEs) in the period 7\textendash17 March 2012 caused geomagnetic storms that strongly affected high-latitude ionosphere in the Northern and Southern Hemisphere. GPS phase scintillation was observed at northern and southern high latitudes by arrays of GPS ionospheric scintillation and TEC monitors (GISTMs) and geodetic-quality GPS receivers sampling at 1 Hz. Mapped as a function of magnetic latitude and magnetic local time (MLT), the scintillation was observed in the ionospheric cusp, the tongue of ionization fragmented into patches, sun-aligned arcs in the polar cap, and nightside auroral oval and subauroral latitudes. Complementing a companion paper (Prikryl et al., 2015a) that focuses on the highlatitude ionospheric response to variable solar wind in the North American sector, interhemispheric comparison reveals commonalities as well as differences and asymmetries between the northern and southern high latitudes, as a consequence of the coupling between the solar wind and magnetosphere. The interhemispheric asymmetries are caused by the dawn\textendashdusk component of the interplanetary magnetic field controlling the MLT of the cusp entry of the storm-enhanced density plasma into the polar cap and the orientation relative to the noon\textendashmidnight meridian of the tongue of ionization. Prikryl, P.; Ghoddousi-Fard, R.; Spogli, L.; Mitchell, C.; Li, G.; Ning, B.; Cilliers, P.; Sreeja, V.; Aquino, M.; Terkildsen, M.; Jayachandran, P.; Jiao, Y.; Morton, Y.; Ruohoniemi, J.; Thomas, E.; Zhang, Y.; Weatherwax, A.; Alfonsi, L.; De Franceschi, G.; Romano, V.; Published by: Annales Geophysicae Published on: 01/2015 YEAR: 2015 DOI: 10.5194/angeo-33-657-2015 Ionosphere; ionospheric disturbance; ionospheric irregularities; polar ionosphere |
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During the ascending phase of solar cycle 24, a series of interplanetary coronal mass ejections (ICMEs) in the period 7\textendash17 March 2012 caused geomagnetic storms that strongly affected high-latitude ionosphere in the Northern and Southern Hemisphere. GPS phase scintillation was observed at northern and southern high latitudes by arrays of GPS ionospheric scintillation and TEC monitors (GISTMs) and geodetic-quality GPS receivers sampling at 1 Hz. Mapped as a function of magnetic latitude and magnetic local time (MLT), the scintillation was observed in the ionospheric cusp, the tongue of ionization fragmented into patches, sun-aligned arcs in the polar cap, and nightside auroral oval and subauroral latitudes. Complementing a companion paper (Prikryl et al., 2015a) that focuses on the highlatitude ionospheric response to variable solar wind in the North American sector, interhemispheric comparison reveals commonalities as well as differences and asymmetries between the northern and southern high latitudes, as a consequence of the coupling between the solar wind and magnetosphere. The interhemispheric asymmetries are caused by the dawn\textendashdusk component of the interplanetary magnetic field controlling the MLT of the cusp entry of the storm-enhanced density plasma into the polar cap and the orientation relative to the noon\textendashmidnight meridian of the tongue of ionization. Prikryl, P.; Ghoddousi-Fard, R.; Spogli, L.; Mitchell, C.; Li, G.; Ning, B.; Cilliers, P.; Sreeja, V.; Aquino, M.; Terkildsen, M.; Jayachandran, P.; Jiao, Y.; Morton, Y.; Ruohoniemi, J.; Thomas, E.; Zhang, Y.; Weatherwax, A.; Alfonsi, L.; De Franceschi, G.; Romano, V.; Published by: Annales Geophysicae Published on: 01/2015 YEAR: 2015 DOI: 10.5194/angeo-33-657-2015 Ionosphere; ionospheric disturbance; ionospheric irregularities; polar ionosphere |
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During the ascending phase of solar cycle 24, a series of interplanetary coronal mass ejections (ICMEs) in the period 7\textendash17 March 2012 caused geomagnetic storms that strongly affected high-latitude ionosphere in the Northern and Southern Hemisphere. GPS phase scintillation was observed at northern and southern high latitudes by arrays of GPS ionospheric scintillation and TEC monitors (GISTMs) and geodetic-quality GPS receivers sampling at 1 Hz. Mapped as a function of magnetic latitude and magnetic local time (MLT), the scintillation was observed in the ionospheric cusp, the tongue of ionization fragmented into patches, sun-aligned arcs in the polar cap, and nightside auroral oval and subauroral latitudes. Complementing a companion paper (Prikryl et al., 2015a) that focuses on the highlatitude ionospheric response to variable solar wind in the North American sector, interhemispheric comparison reveals commonalities as well as differences and asymmetries between the northern and southern high latitudes, as a consequence of the coupling between the solar wind and magnetosphere. The interhemispheric asymmetries are caused by the dawn\textendashdusk component of the interplanetary magnetic field controlling the MLT of the cusp entry of the storm-enhanced density plasma into the polar cap and the orientation relative to the noon\textendashmidnight meridian of the tongue of ionization. Prikryl, P.; Ghoddousi-Fard, R.; Spogli, L.; Mitchell, C.; Li, G.; Ning, B.; Cilliers, P.; Sreeja, V.; Aquino, M.; Terkildsen, M.; Jayachandran, P.; Jiao, Y.; Morton, Y.; Ruohoniemi, J.; Thomas, E.; Zhang, Y.; Weatherwax, A.; Alfonsi, L.; De Franceschi, G.; Romano, V.; Published by: Annales Geophysicae Published on: 01/2015 YEAR: 2015 DOI: 10.5194/angeo-33-657-2015 Ionosphere; ionospheric disturbance; ionospheric irregularities; polar ionosphere |
| 2014 |
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OVATION Prime-2013: Extension of auroral precipitation model to higher disturbance levels OVATION Prime (OP) is an auroral precipitation model parameterized by solar wind driving. Distinguishing features of the model include an optimized solar wind-magnetosphere coupling function (dΦMP/dt) which predicts auroral power significantly better than\ Kpor other traditional parameters, the separation of aurora into categories (diffuse aurora, monoenergetic, broadband, and ion), the inclusion of seasonal variations, and separate parameter fits for each magnetic latitude (MLAT) \texttimes magnetic local time (MLT) bin, thus permitting each type of aurora and each location to have differing responses to season and solar wind input\textemdashas indeed they do. We here introduce OVATION Prime-2013, an upgrade to the 2010 version currently widely available. The most notable advantage of OP-2013 is that it uses UV images from the GUVI instrument on the satellite TIMED for high disturbance levels (dΦMP/dt \> 1.2 MWb/s which roughly corresponds to\ Kp = 5+ or 6-). The range of validity is approximately 0 \< dΦMP/dt <= 3.0 MWb/s (Kp\ about 8+). Other upgrades include a reduced susceptibility to salt-and-pepper noise, and smoother interpolation across the postmidnight data gap. The model is tested against an independent data set of hemispheric auroral power from Polar UVI. Over the common range of validity of OP-2010 and OP-2013, the two models predict auroral power essentially identically, primarily because hemispheric power calculations were done in a way to minimize the impact of OP-2010s noise. To quantitatively demonstrate the improvement at high disturbance levels would require multiple very large substorms, which are rare, and insufficiently present in the limited data set of Polar UVI hemispheric power values. Nonetheless, although OP-2010 breaks down in a variety of ways above\ Kp = 5+ or 6-, OP-2013 continues to show the auroral oval advancing equatorward, at least to 55\textdegree MLAT or a bit less, and OP-2013 does not develop spurious large noise patches. We will also discuss the advantages and disadvantages of other precipitation models more generally, as no one model fits best all possible uses. Newell, P.; Liou, K.; Zhang, Y.; Sotirelis, T.; Paxton, L.; Mitchell, E.; Published by: Space Weather Published on: Jan-06-2014 YEAR: 2014 DOI: 10.1002/swe.v12.610.1002/2014SW001056 |
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OVATION Prime-2013: Extension of auroral precipitation model to higher disturbance levels OVATION Prime (OP) is an auroral precipitation model parameterized by solar wind driving. Distinguishing features of the model include an optimized solar wind-magnetosphere coupling function (dΦMP/dt) which predicts auroral power significantly better than\ Kpor other traditional parameters, the separation of aurora into categories (diffuse aurora, monoenergetic, broadband, and ion), the inclusion of seasonal variations, and separate parameter fits for each magnetic latitude (MLAT) \texttimes magnetic local time (MLT) bin, thus permitting each type of aurora and each location to have differing responses to season and solar wind input\textemdashas indeed they do. We here introduce OVATION Prime-2013, an upgrade to the 2010 version currently widely available. The most notable advantage of OP-2013 is that it uses UV images from the GUVI instrument on the satellite TIMED for high disturbance levels (dΦMP/dt \> 1.2 MWb/s which roughly corresponds to\ Kp = 5+ or 6-). The range of validity is approximately 0 \< dΦMP/dt <= 3.0 MWb/s (Kp\ about 8+). Other upgrades include a reduced susceptibility to salt-and-pepper noise, and smoother interpolation across the postmidnight data gap. The model is tested against an independent data set of hemispheric auroral power from Polar UVI. Over the common range of validity of OP-2010 and OP-2013, the two models predict auroral power essentially identically, primarily because hemispheric power calculations were done in a way to minimize the impact of OP-2010s noise. To quantitatively demonstrate the improvement at high disturbance levels would require multiple very large substorms, which are rare, and insufficiently present in the limited data set of Polar UVI hemispheric power values. Nonetheless, although OP-2010 breaks down in a variety of ways above\ Kp = 5+ or 6-, OP-2013 continues to show the auroral oval advancing equatorward, at least to 55\textdegree MLAT or a bit less, and OP-2013 does not develop spurious large noise patches. We will also discuss the advantages and disadvantages of other precipitation models more generally, as no one model fits best all possible uses. Newell, P.; Liou, K.; Zhang, Y.; Sotirelis, T.; Paxton, L.; Mitchell, E.; Published by: Space Weather Published on: Jan-06-2014 YEAR: 2014 DOI: 10.1002/swe.v12.610.1002/2014SW001056 |
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The International Reference Ionosphere 2012 \textendash a model of international collaboration The International Reference Ionosphere (IRI) project was established jointly by the Committee on Space Research (COSPAR) and the International Union of Radio Science (URSI) in the late sixties with the goal to develop an international standard for the specification of plasma parameters in the Earth\textquoterights ionosphere. COSPAR needed such a specification for the evaluation of environmental effects on spacecraft and experiments in space, and URSI for radiowave propagation studies and applications. At the request of COSPAR and URSI, IRI was developed as a data-based model to avoid the uncertainty of theory-based models which are only as good as the evolving theoretical understanding. Being based on most of the available and reliable observations of the ionospheric plasma from the ground and from space, IRI describes monthly averages of electron density, electron temperature, ion temperature, ion composition, and several additional parameters in the altitude range from 60\ km to 2000\ km. A working group of about 50 international ionospheric experts is in charge of developing and improving the IRI model. Over time as new data became available and new modeling techniques emerged, steadily improved editions of the IRI model have been published. This paper gives a brief history of the IRI project and describes the latest version of the model, IRI-2012. It also briefly discusses efforts to develop a real-time IRI model. The IRI homepage is at\ http://IRImodel.org. Bilitza, Dieter; Altadill, David; Zhang, Yongliang; Mertens, Chris; Truhlik, Vladimir; Richards, Phil; McKinnell, Lee-Anne; Reinisch, Bodo; Published by: Journal of Space Weather and Space Climate Published on: Jan-01-2014 YEAR: 2014 DOI: 10.1051/swsc/2014004 |
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The International Reference Ionosphere 2012 \textendash a model of international collaboration The International Reference Ionosphere (IRI) project was established jointly by the Committee on Space Research (COSPAR) and the International Union of Radio Science (URSI) in the late sixties with the goal to develop an international standard for the specification of plasma parameters in the Earth\textquoterights ionosphere. COSPAR needed such a specification for the evaluation of environmental effects on spacecraft and experiments in space, and URSI for radiowave propagation studies and applications. At the request of COSPAR and URSI, IRI was developed as a data-based model to avoid the uncertainty of theory-based models which are only as good as the evolving theoretical understanding. Being based on most of the available and reliable observations of the ionospheric plasma from the ground and from space, IRI describes monthly averages of electron density, electron temperature, ion temperature, ion composition, and several additional parameters in the altitude range from 60\ km to 2000\ km. A working group of about 50 international ionospheric experts is in charge of developing and improving the IRI model. Over time as new data became available and new modeling techniques emerged, steadily improved editions of the IRI model have been published. This paper gives a brief history of the IRI project and describes the latest version of the model, IRI-2012. It also briefly discusses efforts to develop a real-time IRI model. The IRI homepage is at\ http://IRImodel.org. Bilitza, Dieter; Altadill, David; Zhang, Yongliang; Mertens, Chris; Truhlik, Vladimir; Richards, Phil; McKinnell, Lee-Anne; Reinisch, Bodo; Published by: Journal of Space Weather and Space Climate Published on: Jan-01-2014 YEAR: 2014 DOI: 10.1051/swsc/2014004 |
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The Earth\textquoterights ionosphere is a highly dynamic region that is almost constantly in a state of flux. Solar radiation, geomagnetic activity, chemical reactions, and natural dynamics all act to perturb the state of the ionosphere. The ionosphere changes on time scales of hours to days, with the fine-scale ionospheric structures that are frequently observed lacking in global physics-based models due to time-step and spatial resolution constraints. To properly specify the ionosphere, data is needed, thus data assimilation. The Utah State University GAIM-GM model uses a data assimilation method to correct a physics-based model of the ionosphere using 5 different data types, divided into 9 different data sources. Multiple data types are necessary because the data from any individual data source will not be sufficient for global reconstructions. The GAIM-GM specification (in real-time) can then be used to correct for ionospheric propagation delays, thereby improving geo-location and communications. The focus here is to show the quantitative effects that multiple data types have on GAIM-GM ionospheric specifications for a relatively quiet day (April 19) in 2012. Gardner, L.; Schunk, R.; Scherliess, L.; Sojka, J.; Zhu, L.; Published by: Space Weather Published on: 11/2014 YEAR: 2014 DOI: 10.1002/2014SW001104 |
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Simultaneous observations of Birkeland currents by the constellation of Iridium satellites and N2\ Lyman-Birge-Hopfield (LBH) auroral emissions measured by the Global Ultraviolet Imager (GUVI) onboard the Thermosphere, Ionosphere, and Mesosphere Energetics and Dynamics (TIMED) satellite are used to establish relationships between large-scale upward field-aligned currents and electron precipitation during stable current configurations. The electron precipitation was inferred from GUVI data using a statistical relationship between LBH intensity and electron energy flux. LBH emissions with \>5\% contribution from protons, identified by Lyman-alpha intensity, were excluded from the analysis. The Birkeland currents were derived with a spatial resolution of 3\textdegree in latitude and 2 h in local time. For southward interplanetary magnetic field (IMF), the electron precipitation occurred primarily within and near large-scale upward currents. The correspondence was less evident for northward IMF, presumably because the spatial variability is large compared to the areas of interest so that the number of events identified is smaller and the derived statistical distributions are less reliable. At dusk, the correlation between upward current and precipitation was especially high, where a larger fraction of the electron precipitation is accelerated downward by a field-aligned potential difference. Unaccelerated electron precipitation dominated in the morning sector, presumably induced by scattering of eastward-drifting energetic electrons into the loss cone through interaction with whistler-mode waves (diffuse precipitation) rather than by field-aligned acceleration. In the upward Region 1 on the dayside, where the electron precipitation is almost exclusively due to field-aligned acceleration, a quadratic relationship between current density and electron energy flux was observed, implying a linear current-voltage relationship in this region. Current density and electron energy flux in the regions of the large-scale upward currents from pre-midnight through dawn to noon are essentially uncorrelated, consistent with diffuse electron precipitation dominating the incident energy flux. Korth, Haje; Zhang, Yongliang; Anderson, Brian; Sotirelis, Thomas; Waters, Colin; Published by: Journal of Geophysical Research: Space Physics Published on: 08/2014 YEAR: 2014 DOI: 10.1002/2014JA019961 auroral emissions; Birkeland currents; current-precipitation relationship; current-voltage relationship; electron precipitation |
| 2013 |
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Sotirelis, Thomas; Korth, Haje; Hsieh, Syau-Yun; Zhang, Yongliang; Morrison, Daniel; Paxton, Larry; Published by: Journal of Geophysical Research: Space Physics Published on: Jan-10-2013 YEAR: 2013 DOI: 10.1002/jgra.v118.1010.1002/jgra.50507 |
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Sotirelis, Thomas; Korth, Haje; Hsieh, Syau-Yun; Zhang, Yongliang; Morrison, Daniel; Paxton, Larry; Published by: Journal of Geophysical Research: Space Physics Published on: Jan-03-2013 YEAR: 2013 DOI: 10.1002/jgra.50157 |
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Prikryl, Paul; Zhang, Yongliang; Ebihara, Yusuke; Ghoddousi-Fard, Reza; Jayachandran, Periyadan; Kinrade, Joe; Mitchell, Cathryn; Weatherwax, Allan; Bust, Gary; Cilliers, Pierre; Published by: Annals of Geophysics Published on: |
| 2011 |
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Empirical Relationship Between LBH Auroral Emissions and Particle Precipitation Hsieh, SW; Sotirelis, T; Korth, H; Zhang, Y; Paxton, LJ; Published by: Published on: |
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Study on spectrograph for ionosphere: a broadband imaging instrument prototype for far-ultraviolet Yu, Lei; Wang, Shu-rong; Lin, Guan-yu; Published by: Published on: YEAR: 2011 DOI: 10.1117/12.895219 |
| 2010 |
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Near real-time assimilation in IRI of auroral peak E-region density and equatorward boundary Zhang, Yongliang; Paxton, Larry; Bilitza, Dieter; Doe, Rick; Published by: Advances in Space Research Published on: Jan-10-2010 YEAR: 2010 DOI: 10.1016/j.asr.2010.06.029 |
| 2009 |
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Ionospheric dynamics and drivers obtained from a physics-based data assimilation model Scherliess, Ludger; Thompson, Donald; Schunk, Robert; Published by: Radio Science Published on: Jan-02-2009 YEAR: 2009 DOI: 10.1029/2008RS004068 |
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Observations of the Ionosphere Using the Tiny Ionospheric Photometer Coker, Clayton; Dymond, Kenneth; Budzien, Scott; Chua, Damien; Liu, Jann-Yenq; Anderson, David; Basu, Sunanda; Pedersen, Todd; Published by: Terrestrial, Atmospheric and Oceanic Sciences Published on: Jan-01-2009 YEAR: 2009 DOI: 10.3319/TAO.2008.01.18.02(F3C) |
| 2008 |
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Dandenault, P; Coker, C; Thonnard, S; Schunk, B; Thompson, D; Smith, D; Weaver, S; Scherliess, L; Reich, J; Published by: Published on: |
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Ionosphere-thermosphere perturbations due to lower atmospheric waves Schunk, Robert; Gardner, Larry; Scherliess, Ludger; Thompson, Donald; Sojka, Jan; Published by: Published on: |
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Wave Coupling Between the Lower and Upper Atmospheres Schunk, RW; Gardner, LC; Scherliess, L; Thompson, DC; Sojka, JJ; Siskind, DE; Eckermann, SD; Drob, DP; Hoppel, K; Published by: Published on: |
| 2007 |
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A Thermosphere-Ionosphere Data Assimilation Model Component for a Seamless Ocean-Atmosphere Model Schunk, Robert; Scherliess, L; Thompson, DC; Sojka, JJ; Zhu, L; Published by: Published on: |
| 2006 |
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Analyses of solar activity effects on the low-latitude ionosphere Wolven, BC; Talaat, ER; Yee, J; Demajistre, R; Paxton, LJ; Christensen, A; Sotirelis, T; Smith, DC; Bilitza, D; Azeem, I; Published by: Published on: |
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Analyses of solar activity effects on the low-latitude ionosphere Wolven, BC; Talaat, ER; Yee, J; Demajistre, R; Paxton, LJ; Christensen, A; Sotirelis, T; Smith, DC; Bilitza, D; Azeem, I; Published by: Published on: |
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First Observations of the Ionosphere using the Tiny Ionospheric Photometer Coker, C; Dymond, KF; Budzien, SA; Chua, D; Liu, JY; Published by: Published on: |
| 1997 |
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An overview of the NEAR multispectral imager-near-infrared spectrometer investigation Veverka, J.; Bell, J.; Thomas, P.; Harch, A.; Murchie, S.; Hawkins, S.; Warren, J.; Darlington, H.; Peacock, K.; Chapman, C.; McFadden, L.; Malin, M.; Robinson, M.; Published by: Journal of Geophysical Research Published on: Jan-01-1997 YEAR: 1997 DOI: 10.1029/97JE01742 |
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An overview of the NEAR multispectral imager-near-infrared spectrometer investigation Veverka, J.; Bell, J.; Thomas, P.; Harch, A.; Murchie, S.; Hawkins, S.; Warren, J.; Darlington, H.; Peacock, K.; Chapman, C.; McFadden, L.; Malin, M.; Robinson, M.; Published by: Journal of Geophysical Research Published on: Jan-01-1997 YEAR: 1997 DOI: 10.1029/97JE01742 |
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Warren, Jeffery; Peacock, Keith; Darlington, Edward; Murchie, Scott; Oden, Stephen; Hayes, John; Bell, James; Krein, Stephen; Mastandrea, Andy; Published by: Published on: YEAR: 1997 DOI: 10.1007/978-94-011-5200-610.1007/978-94-011-5200-6_3 |
| 1993 |
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FUV remote sensing of thermospheric composition and the solar EUV flux Strickland, Douglas; Link, Richard; Paxton, Larry; Published by: Published on: YEAR: 1993 DOI: 10.1117/12.140842 |
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Paxton, Larry; Meng, Ching-I.; Fountain, Glen; Ogorzalek, Bernard; Darlington, Edward; Gary, Stephen; Goldsten, John; Kusnierkiewicz, David; Lee, Susan; Linstrom, Lloyd; Maynard, Jeffrey; Peacock, Keith; Persons, David; Smith, Brian; Strickland, Douglas; Daniell, R.; Published by: Published on: YEAR: 1993 DOI: 10.1117/12.140846 |
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Paxton, Larry; Meng, Ching-I.; Fountain, Glen; Ogorzalek, Bernard; Darlington, Edward; Gary, Stephen; Goldsten, John; Kusnierkiewicz, David; Lee, Susan; Linstrom, Lloyd; Maynard, Jeffrey; Peacock, Keith; Persons, David; Smith, Brian; Strickland, Douglas; Daniell, R.; Published by: Published on: YEAR: 1993 DOI: 10.1117/12.140846 |
| 1992 |
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Special sensor ultraviolet spectrographic imager: an instrument description Paxton, Larry; Meng, Ching-I; Fountain, Glen; Ogorzalek, Bernard; Darlington, Edward; Gary, Stephen; Goldsten, John; Kusnierkiewicz, David; Lee, Susan; Linstrom, Lloyd; , others; Published by: Published on: 06/1992 YEAR: 1992 DOI: 10.1117/12.60595 |
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Special sensor ultraviolet spectrographic imager: an instrument description Paxton, Larry; Meng, Ching-I; Fountain, Glen; Ogorzalek, Bernard; Darlington, Edward; Gary, Stephen; Goldsten, John; Kusnierkiewicz, David; Lee, Susan; Linstrom, Lloyd; , others; Published by: Published on: 06/1992 YEAR: 1992 DOI: 10.1117/12.60595 |
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