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Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events

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Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events. / Liemohn, M. W.; Ridley, A. J.; Kozyra, J. U. et al.
In: Journal of Geophysical Research, Vol. 111, No. A11S11, 2006, p. 1-25.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Liemohn, MW, Ridley, AJ, Kozyra, JU, Gallagher, DL, Thomsen, MF, Henderson, MG, Denton, MH, Brandt, PC & Goldstein, J 2006, 'Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events', Journal of Geophysical Research, vol. 111, no. A11S11, pp. 1-25. https://doi.org/10.1029/2006JA011700

APA

Liemohn, M. W., Ridley, A. J., Kozyra, J. U., Gallagher, D. L., Thomsen, M. F., Henderson, M. G., Denton, M. H., Brandt, P. C., & Goldstein, J. (2006). Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events. Journal of Geophysical Research, 111(A11S11), 1-25. https://doi.org/10.1029/2006JA011700

Vancouver

Liemohn MW, Ridley AJ, Kozyra JU, Gallagher DL, Thomsen MF, Henderson MG et al. Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events. Journal of Geophysical Research. 2006;111(A11S11):1-25. doi: 10.1029/2006JA011700

Author

Liemohn, M. W. ; Ridley, A. J. ; Kozyra, J. U. et al. / Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events. In: Journal of Geophysical Research. 2006 ; Vol. 111, No. A11S11. pp. 1-25.

Bibtex

@article{4bfdfd62defe4a4180e19f52d74c4550,
title = "Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events",
abstract = "The storm time inner magnetospheric electric field morphology and dynamics are assessed by comparing numerical modeling results of the plasmasphere and ring current with many in situ and remote sensing data sets. Two magnetic storms are analyzed, 22 April 2001 and 21–23 October 2001, which are the events selected for the Geospace Environment Modeling (GEM) Inner Magnetosphere/Storms (IM/S) Assessment Challenge (IMSAC). The IMSAC seeks to quantify the accuracy of inner magnetospheric models as well as synthesize our understanding of this region. For each storm, the ring current-atmosphere interaction model (RAM) and the dynamic global core plasma model (DGCPM) were run together with various settings for the large-scale convection electric field and the nightside ionospheric conductance, while keeping all other simulation settings the same. DGCPM plasmaspheric parameters were compared with IMAGE-EUV plasmapause extractions and LANL-MPA plume locations and velocities. RAM parameters were compared with Dst*, LANL-MPA fluxes and moments, IMAGE-MENA images, and IMAGE-HENA images. Both qualitative and quantitative comparisons were made to determine the electric field morphology that allows the model results to best fit the plasma data at various times during these events. The simulations with self-consistent electric fields were, in general, better than those with prescribed field choices. This indicates that the time-dependent modulation of the inner magnetospheric electric fields by the nightside ionosphere is quite significant for accurate determination of these fields (and their effects). It was determined that a shielded Volland-Stern field description driven by the 3-hour Kp index yields accurate results much of the time but can be quite inconsistent. The modified McIlwain field description clearly lagged in overall accuracy compared to the other fields, but matched some data sets (like Dst*) quite well. The rankings between the simulations varied depending on the storm and the individual data sets, indicating that each field description did well for some place, time, and energy range during the events, as well as doing less well in other places, times, and energies. Several unresolved issues regarding the storm time inner magnetospheric electric field are discussed.",
keywords = "GEM MENA storm magnetosphere DCS-publications-id, art-835, DCS-publications-credits, iono, DCS-publications-personnel-id, 123",
author = "Liemohn, {M. W.} and Ridley, {A. J.} and Kozyra, {J. U.} and Gallagher, {D. L.} and Thomsen, {M. F.} and Henderson, {M. G.} and Denton, {Michael H.} and P.C. Brandt and J. Goldstein",
note = "Copyright (2006) American Geophysical Union.",
year = "2006",
doi = "10.1029/2006JA011700",
language = "English",
volume = "111",
pages = "1--25",
journal = "Journal of Geophysical Research",
issn = "0148-0227",
publisher = "American Geophysical Union",
number = "A11S11",

}

RIS

TY - JOUR

T1 - Analyzing electric field morphology through data-model comparisons of the GEM IM/S assessment challenge events

AU - Liemohn, M. W.

AU - Ridley, A. J.

AU - Kozyra, J. U.

AU - Gallagher, D. L.

AU - Thomsen, M. F.

AU - Henderson, M. G.

AU - Denton, Michael H.

AU - Brandt, P.C.

AU - Goldstein, J.

N1 - Copyright (2006) American Geophysical Union.

PY - 2006

Y1 - 2006

N2 - The storm time inner magnetospheric electric field morphology and dynamics are assessed by comparing numerical modeling results of the plasmasphere and ring current with many in situ and remote sensing data sets. Two magnetic storms are analyzed, 22 April 2001 and 21–23 October 2001, which are the events selected for the Geospace Environment Modeling (GEM) Inner Magnetosphere/Storms (IM/S) Assessment Challenge (IMSAC). The IMSAC seeks to quantify the accuracy of inner magnetospheric models as well as synthesize our understanding of this region. For each storm, the ring current-atmosphere interaction model (RAM) and the dynamic global core plasma model (DGCPM) were run together with various settings for the large-scale convection electric field and the nightside ionospheric conductance, while keeping all other simulation settings the same. DGCPM plasmaspheric parameters were compared with IMAGE-EUV plasmapause extractions and LANL-MPA plume locations and velocities. RAM parameters were compared with Dst*, LANL-MPA fluxes and moments, IMAGE-MENA images, and IMAGE-HENA images. Both qualitative and quantitative comparisons were made to determine the electric field morphology that allows the model results to best fit the plasma data at various times during these events. The simulations with self-consistent electric fields were, in general, better than those with prescribed field choices. This indicates that the time-dependent modulation of the inner magnetospheric electric fields by the nightside ionosphere is quite significant for accurate determination of these fields (and their effects). It was determined that a shielded Volland-Stern field description driven by the 3-hour Kp index yields accurate results much of the time but can be quite inconsistent. The modified McIlwain field description clearly lagged in overall accuracy compared to the other fields, but matched some data sets (like Dst*) quite well. The rankings between the simulations varied depending on the storm and the individual data sets, indicating that each field description did well for some place, time, and energy range during the events, as well as doing less well in other places, times, and energies. Several unresolved issues regarding the storm time inner magnetospheric electric field are discussed.

AB - The storm time inner magnetospheric electric field morphology and dynamics are assessed by comparing numerical modeling results of the plasmasphere and ring current with many in situ and remote sensing data sets. Two magnetic storms are analyzed, 22 April 2001 and 21–23 October 2001, which are the events selected for the Geospace Environment Modeling (GEM) Inner Magnetosphere/Storms (IM/S) Assessment Challenge (IMSAC). The IMSAC seeks to quantify the accuracy of inner magnetospheric models as well as synthesize our understanding of this region. For each storm, the ring current-atmosphere interaction model (RAM) and the dynamic global core plasma model (DGCPM) were run together with various settings for the large-scale convection electric field and the nightside ionospheric conductance, while keeping all other simulation settings the same. DGCPM plasmaspheric parameters were compared with IMAGE-EUV plasmapause extractions and LANL-MPA plume locations and velocities. RAM parameters were compared with Dst*, LANL-MPA fluxes and moments, IMAGE-MENA images, and IMAGE-HENA images. Both qualitative and quantitative comparisons were made to determine the electric field morphology that allows the model results to best fit the plasma data at various times during these events. The simulations with self-consistent electric fields were, in general, better than those with prescribed field choices. This indicates that the time-dependent modulation of the inner magnetospheric electric fields by the nightside ionosphere is quite significant for accurate determination of these fields (and their effects). It was determined that a shielded Volland-Stern field description driven by the 3-hour Kp index yields accurate results much of the time but can be quite inconsistent. The modified McIlwain field description clearly lagged in overall accuracy compared to the other fields, but matched some data sets (like Dst*) quite well. The rankings between the simulations varied depending on the storm and the individual data sets, indicating that each field description did well for some place, time, and energy range during the events, as well as doing less well in other places, times, and energies. Several unresolved issues regarding the storm time inner magnetospheric electric field are discussed.

KW - GEM MENA storm magnetosphere DCS-publications-id

KW - art-835

KW - DCS-publications-credits

KW - iono

KW - DCS-publications-personnel-id

KW - 123

U2 - 10.1029/2006JA011700

DO - 10.1029/2006JA011700

M3 - Journal article

VL - 111

SP - 1

EP - 25

JO - Journal of Geophysical Research

JF - Journal of Geophysical Research

SN - 0148-0227

IS - A11S11

ER -