TERRAPUB Earth, Planets and Space

Earth Planets Space, Vol. 58 (No. 4), pp. 439-449, 2006

Using global magnetospheric models for simulation and interpretation of Swarm external field measurements

T. Moretto1, S. Vennerstrøm2, N. Olsen2, L. Rastätter1, and J. Raeder3

1NASA Goddard Space Flight Center, Greenbelt, Maryland, U.S.A.
2Danish National Space Center, Copenhagen, Denmark
3Space Science Center, University of New Hampshire, Durham, New Hampshire, U.S.A.

(Received January 5, 2004; Revised September 19, 2005; Accepted September 29, 2005; Online published April 14, 2006)

Abstract: We have used a global model of the solar wind magnetosphere interaction to model the high latitude part of the external contributions to the geomagnetic field near the Earth. The model also provides corresponding values for the electric field. Geomagnetic quiet conditions were modeled to provide simulated external contributions relevant for internal field modeling. These have proven very valuable for the design and planning of the up-coming multi-satellite Swarm mission. In addition, a real event simulation was carried out for a moderately active time interval when observations from the Ørsted and CHAMP sattelites were available. Comparisons between the simulation results and the satellite observations for this event demonstrate the current level of validity of the global model. We find that the model reproduces quite well the region 1 current system and nightside region 2 currents whereas it consistently underestimates the dayside region 2 currents and overestimates the horizontal ionospheric closure currents in the dayside polar cap. Furthermore, with this example we illustrate the great benefit of utilizing the global model for the interpretation of Swarm external field observations and, likewise, the potential of using Swarm measuremnets to test and improve the global model.
Key words: Ionospheric currents, field-aligned currents, global magnetospheric simulation, low-altitude satel-lites.

Corresponding author E-mail: tjorgens@nsf.gov

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