Japan Geoscience Union Meeting 2015

Presentation information


Symbol P (Space and Planetary Sciences) » P-EM Solar-Terrestrial Sciences, Space Electromagnetism & Space Environment

[P-EM28] Dynamics in magnetosphere and ionosphere

Wed. May 27, 2015 6:15 PM - 7:30 PM Convention Hall (2F)

Convener:*Yoshizumi Miyoshi(Solar-Terrestrial Environement Laboratory, Nagoya University), Hiroshi Hasegawa(Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency), Shin'ya Nakano(The Institute of Statistical Mathematics), Yoshimasa Tanaka(National Institute of Polar Research), Tomoaki Hori(Nagoya University Solar Terrestrial Environment Laboratory Geospace Research Center)

6:15 PM - 7:30 PM

[PEM28-P15] The separation of temporal and spatial fluctuation of magnetic field data obtained by SWARM satellites.

*Yoshihiro YOKOYAMA1, Toshihiko IYEMORI2, Kunihito NAKANISHI1, Tadashi AOYAMA1 (1.Graduate School of Science, Kyoto University, 2.Data Analysis Center for Geomagnetism and Space Magnetism, Graduate School of Science, Kyoto Univers)

Keywords:SWARM satellites, high-latitude ionosphere, field-aligned current, magnetic fluctuations, separation of temporal and spacial fluctuations

It is difficult to separate temporal and spatial fluctuation from data obtained by satellites.

Sugiura et al. (1984) suggested that the small-scale magnetic fluctuations over the high-latitude ionosphere are mainly caused by small-scale field aligned currents.We revealed the fact observationally by using the high-time resolution magnetic data from SWARM satellites.

We took correlation coefficients between satellite-A and satellite-B by shifting time (i.e., correlation function) and picked up the peak of them for each time interval used for the calculation. Then we found, sometimes, the value of correlation coefficient without time shifting is larger than that with time shifting. In short, temporal fluctuations are sometimes more dominant than special fluctuations.

To compare with the results obtained by Ishii et al, (1992), we analyzed this tendency in more detail by changing filtering window, latitudes and MLT.

In addition, we show the relationship with AE index to estimate the effort of external factors (e.g. substorms).