Award Abstract # 1303116
GEM: Mapping Field-Aligned Current and Poynting Flux in Geospace

NSF Org: AGS
Division of Atmospheric and Geospace Sciences
Recipient: VIRGINIA POLYTECHNIC INSTITUTE & STATE UNIVERSITY
Initial Amendment Date: July 31, 2013
Latest Amendment Date: February 13, 2017
Award Number: 1303116
Award Instrument: Continuing Grant
Program Manager: Carrie E. Black
cblack@nsf.gov
 (703)292-2426
AGS
 Division of Atmospheric and Geospace Sciences
GEO
 Directorate for Geosciences
Start Date: September 1, 2013
End Date: May 31, 2017 (Estimated)
Total Intended Award Amount: $313,029.00
Total Awarded Amount to Date: $328,926.00
Funds Obligated to Date: FY 2013 = $104,343.00
FY 2014 = $104,343.00

FY 2015 = $104,343.00

FY 2017 = $15,897.00
History of Investigator:
  • Daniel Weimer (Principal Investigator)
    dweimer@vt.edu
Recipient Sponsored Research Office: Virginia Polytechnic Institute and State University
300 TURNER ST NW
BLACKSBURG
VA  US  24060-3359
(540)231-5281
Sponsor Congressional District: 09
Primary Place of Performance: National Institute of Aerospace
100 Exploration Way
Hampton
VA  US  23666-6186
Primary Place of Performance
Congressional District:
03
Unique Entity Identifier (UEI): QDE5UHE5XD16
Parent UEI: X6KEFGLHSJX7
NSF Program(s): MAGNETOSPHERIC PHYSICS
Primary Program Source: 01001415DB NSF RESEARCH & RELATED ACTIVIT
01001516DB NSF RESEARCH & RELATED ACTIVIT

01001718DB NSF RESEARCH & RELATED ACTIVIT

01001314DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1323, EGCH
Program Element Code(s): 575000
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

This is a proposal to improve empirical models of the mapping of ionospheric field-aligned currents (FAC) as a function of interplanetary magnetic field (IMF) by using data which are both more accurate and of large volume than those used in previous models. This mapping will cover an entire solar cycle. The magnetic field data to be used in the FAC calculation will come from th Oersted, CHAMP and eventually Swarm missions. Solar wind data will come from the ACE satellite. The team will use the FAC to develop mappings of the Poynting flux. This in turn will aid prediction of density and temperature in the upper atmosphere. Intervals with polar cap potential saturation during large magnetic storms will be examined to see if the current density and total current will saturate.
A graduate student will be supported by this grant. The PI has an excellent record of disseminating his models to the larger science community.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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N. M. Pothier, D. R. Weimer, and W. B. Moore "Quantitative maps of geomagnetic perturbation vectors during substorm onset and recovery" Journal of Geophysical Research, Space Physics , v.120 , 2015 , p.1197 10.1002/2014JA020602
Welling, D. T. and Jordanova, V. K. and Glocer, A. and Toth, G. and Liemohn, M. W. and Weimer, D. R. "The two-way relationship between ionospheric outflow and the ring current" Journal of Geophysical Research: Space Physics , v.120 , 2015 , p.4338--435 10.1002/2015JA021231
N. M. Pothier and D. R. Weimer and W. Moore "Quantitative maps of geomagnetic perturbation vectors during substorm onset and recovery" Journal of Geophysical Research: Space Physics , v.120 , 2015 , p.1197--121 10.1002/2014JA020602

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The objective of this project was to obtain better mappings of the auroral currents that flow into and out of the polar ionosphere, and how they vary as a function of the magnetic field in the solar wind. One main goal was to determine the response of these currents to extreme levels of solar wind conditions, as determined by the product of the wind velocity and the strength of the magnetic field, the solar wind's electric field.  The electric fields and voltages in the polar ionosphere are known to increase in proportion to the level of the solar wind driving, up to a certain point, then increase at a much lower rate as the driving increases.  This is known as the "electric potential saturation," the causes of which have been the subject of considerable debate within the space science community. This saturation effect is also important to the understanding of the physics of the solar wind-magnetosphere-ionosphere interaction.   What wasn't known was whether or not the currents exhibit the same saturation behavior, as these currents are more difficult to measure than the electric fields.  The second main goal was to obtain better mappings of the current distribution as a function of the solar wind and its magnetic field, and to be able to predict theis response. These currents are strongly coupled to the geomagnetic perturbations that occur on the ground, and the heating of the upper atmosphere, both of which can have undesired effects on infrastructure.
These objectives were accomplished by the use of measurements of the magnetic fields above the Earth's atmosphere, from which the currents are deduced. A large database was constructed of measurements from three different satellite missions named Oersted, CHAMP, and Swarm, spanning a period of approximately 14 years, and accompanied by measurements of the solar wind by NASA's ACE satellite. Measurements of solar radiation at different wavelengths, as indicated by four different indices, were also used.

It was found that the total current does NOT saturate as the magnitude of the solar wind electric field increases; the relationship is linear. This behavior is very much unlike the polar cap electric potentials, and it holds for all current regions. To help with the data analysis, a software tool was developed to automatically sort and sum the current going to or from different regions, based on traditional classifications that have been referred to as "Region 0", "Region 1", and "Region 2," not a trivial task. A new, predictive computer model for the current mappings has been produced. It has much greater resolution and accuracy than previous models, and it will be useful for future scientific studies as well as forecasting the space environment.


Last Modified: 07/06/2017
Modified by: Daniel Weimer

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