Thermospheric Density Perturbations Produced by Traveling Atmospheric Disturbances during August 2005 Storm

Pham, Kevin; Zhang, Binzheng; Sorathia, Kareem; Dang, Tong; Wang, Wenbin; Merkin, V. G.; Liu, Huixin; Lin, Dong; Wiltberger, M. J.; Lei, Jiuhou; Bao, Shanshan; Garretson, J.; Toffoletto, F.; Michael, Adam; Lyon, J. G.

doi:10.1002/essoar.10507693.1

Cited by 12 publications

(20 citation statements)

References 24 publications

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“…MAGE is a newly developed geospace model that was designed in particular to resolve and study mesoscale structures during storms, such as SAPS (Lin et al., 2021), traveling ionospheric disturbances (Pham et al., 2022), and plasma sheet bursty bulk flows (Sorathia et al., 2021). The MAGE configuration used in the present study couples the Grid Agnostic MHD for Extended Research Applications (GAMERA) global MHD model of the magnetosphere (Sorathia et al., 2020; Zhang, Sorathia, Lyon, Merkin, Garretson, et al., 2019), the Rice Convection Model (RCM) model of the ring current (Toffoletto et al., 2003), Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) of the upper atmosphere (Richmond et al., 1992), and the RE‐developed Magnetosphere‐Ionosphere Coupler/Solver (REMIX) (Merkin & Lyon, 2010).…”

Section: Model Setupmentioning

confidence: 99%

Origin of Dawnside Subauroral Polarization Streams During Major Geomagnetic Storms

et al. 2022

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Aurorae are the most prominent visible manifestations of geomagnetic storms caused by solar disturbances. Just equatorward of the aurora, invisible to the human eye, radars and orbiting satellites often observe in the dusk-tomidnight ionosphere intense westward plasma flows with speeds from hundreds of m/s to a few km/s, called subauroral polarization streams (SAPS). SAPS have important space weather effects due to the very large plasma flow velocity variation across a narrow latitudinal range of typically less than ∼5° (e.g., Foster et al., 2002). This

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Section: Model Setupmentioning

confidence: 99%

Origin of Dawnside Subauroral Polarization Streams During Major Geomagnetic Storms

et al. 2022

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“…Increased MHD grid resolution and coupling to RCM significantly advances our prior 4‐day CIR study for the Whole Heliosphere Interval at the last solar minimum (Hudson et al., 2012), bringing code resolution and representation of the ring current up to the level of recent work on CME‐shock driven storms during the Van Allen Probes era. Future work will make further quantitative comparisons using the newly developed GAMERA code which allows for longer simulation studies at higher efficiency (Pham et al., 2021; Sorathia et al., 2020; Zhang et al., 2019). It remains for us to add a model for the atmospheric losses which accumulate over longer runs like the August–September CIR event.…”

Section: Discussionmentioning

confidence: 99%

“… (a) CME‐shock simulation shown at 2159 UT May 13, 2019, using GAMERA 3D MHD code coupled to the Rice Convection Model and TIEGCM ionospheric model (Pham et al., 2021). Meridional plot of MHD pressure is shown on the right, with northern and southern hemispheric field aligned currents in the polar regions shown as inserts.…”

Section: Modelsmentioning

confidence: 99%

“…A parallel set of MHD simulations were run for the two events studied using the newer GAMERA MHD model which draws heritage from LFM, but has greater computational efficiency for longer runs (Sorathia et al., 2020; Zhang et al., 2019). The GAMERA model is again coupled to the Rice Convection Model, with the zeroeth energy channel of RCM initialized with a Kp = 2 plasmasphere profile characteristic of early in the storm (Gallagher et al., 2000), which is then allowed to evolve in the MHD fields with a fixed refilling rate (Pham et al., 2021). MHD input parameters for both event simulations were taken from OMNIWeb data shown in Figure 2 and discussed further along with results below.…”

Section: Modelsmentioning

confidence: 99%

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MHD‐Test Particles Simulations of Moderate CME and CIR‐Driven Geomagnetic Storms at Solar Minimum

et al. 2021

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The Whole Heliosphere and Planetary Interactions (WHPI), an international initiative focusing on the Solar Cycle 24 solar minimum (https://whpi.hao.ucar.edu/), follows upon the Whole Sun Month in 1996 and the Whole Heliosphere Interval in 2008 (Gibson et al., 2010;Hudson et al., 2012), aiming to understand the interconnected sun-heliospheric-planetary system at solar minimum when the sun's magnetic field configuration is less complex than at solar maximum. Coronal Mass Ejections (CMEs) are large expulsions of plasma and magnetic field from the Sun's corona which emerge from magnetic active regions prominent at solar maximum (Golub & Pasachoff, 1997). Despite the relative infrequency of CMEs compared with solar maximum, there were a series of CMEs and ensuing Interplanetary Shocks (IS) observed in May 2019 from a solar active region that emerged a month earlier, providing an opportunity for comparison of the geoeffectiveness of CME-shocks with Corotating Interaction Regions (CIRs), more characteristic of solar minimum, in driving outer zone relativistic electron

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“…In addition, Joule heating can also change the thermospheric temperature, density and composition, which in turn affects the electron density through chemical processes (e.g., Burns et al., 1995; Fuller‐Rowell et al., 1994). Moreover, impulsive Joule heating produces large‐scale traveling atmospheric disturbances (TADs), which can induce oscillations of the ionospheric electron density (e.g., Lu et al., 2020; Lyons et al., 2019; Pham et al., 2022; Sheng et al., 2021; Zhang et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Assessment of Using Field‐Aligned Currents to Drive the Global Ionosphere Thermosphere Model: A Case Study for the 2013 St Patrick’s Day Geomagnetic Storm

Zhu

Maute

et al. 2022

Space Weather

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In this study, field‐aligned currents (FACs) obtained from the Active Magnetosphere and Planetary Electrodynamics Response Experiment data set have been used to specify the high‐latitude electric potential in the Global Ionosphere Thermosphere Model (GITM). The advantages and challenges of the FAC‐driven simulation are investigated based on a series of numerical experiments and data‐model comparisons for the 2013 St Patrick's Day geomagnetic storm. It is found that the cross‐track ion drift measured by the Defense Meteorological Satellite Program satellites can be well reproduced in the FAC‐driven simulation when the electron precipitation pattern obtained from Assimilative Mapping of Ionospheric Electrodynamics (AMIE) technique is used in GITM. It is also found that including the neutral wind dynamo properly is very important when using FACs to derive the high‐latitude electric field. Without the neutral wind dynamo, the cross‐polar‐cap potential and hemispheric integrated Joule heating could be underestimated by more than 20%. Moreover, the FAC‐driven simulation is able to well reproduce the ionospheric response to the geomagnetic storm in the American sector. However, the FAC‐driven simulation yields relatively larger data‐model discrepancies compared to the AMIE‐driven GITM simulation. This may result from inaccurate Joule heating estimations in the FAC‐driven simulation caused by the inconsistency between the FAC and electron precipitation patterns. This study indicates that the FAC‐driven technique could be a useful tool for studying the coupled ionosphere and thermosphere system provided that the FACs and electron precipitation patterns can be accurately specified.

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Thermospheric Density Perturbations Produced by Traveling Atmospheric Disturbances during August 2005 Storm

Cited by 12 publications

References 24 publications

Origin of Dawnside Subauroral Polarization Streams During Major Geomagnetic Storms

Origin of Dawnside Subauroral Polarization Streams During Major Geomagnetic Storms

MHD‐Test Particles Simulations of Moderate CME and CIR‐Driven Geomagnetic Storms at Solar Minimum

Assessment of Using Field‐Aligned Currents to Drive the Global Ionosphere Thermosphere Model: A Case Study for the 2013 St Patrick’s Day Geomagnetic Storm

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