Statistics of Joule heating in the auroral zone and polar cap using Astrid-2 satellite Poynting flux

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Abstract

We make a statistical study of ionospheric Joule heating with the Poynting flux method using six months of Astrid-2/EMMA electric and magnetic field data during 1999 (solar maximum year). For the background magnetic field we use the IGRF model. Our results are in agreement with earlier statistical satellite studies using both the Σp E2 method and the Poynting flux method. We present a rather comprehensive set of fitted Joule heating formulas expressing the Joule heating in given magnetic local time (MLT) and invariant latitude (ILAT) range under given solar illumination conditions as a function of the K p index, the A E index, the Akasofu epsilon parameter and the solar wind kinetic energy flux. The study thus provides improved and more detailed estimates of the statistical Joule heating. Such estimates are necessary building blocks for future quantitative studies of the power budget in the magnetosphere and in the nightside auroral region. © European Geosciences Union 2004.

Figures

  • Fig. 1. Example plot used in visual inspection of events. (a–b) spin plane electric field in msp coordinates, (c–e) IGRF-subtracted magnetic field in GEI coordinates, (f) calculated downward fieldaligned Poynting flux, (g) angle α between spin axis and magnetic field, Poynting fluxes for 75◦<α<105◦ were not shown in panel (f).
  • Fig. 2. The average Joule heating for ILAT 55–90 for Kp≤2, all MLT (left). MLT 12, 18, 24 and 06 are shown in the plot. The inner circle corresponds to ILAT 80. The Joule heating is correlated with the auroral zone and in the dayside the intense Joule heating is related to the cusp region. In the right subplot the corresponding orbital coverage (number of auroral crossings contributing to each bin) is shown.
  • Fig. 3. Same as Fig. 2 but for Kp>2. The average Joule heating is overall higher, often by a factor of 2 and is more significant in wider ILAT range.
  • Table 1. Joule heating (GW) as a function of Kp index in different hemispheric regions.
  • Table 2. Joule heating (GW) as a function of AE index (nT) in different hemispheric regions.
  • Fig. 4. Average global (ILAT 25–90) Joule heating for all Kp values and all MLT sectors. At latitudes above ILAT 60 we have an average downward Poynting flux.
  • Fig. 5. The average Joule heating dependence on Kp for ILAT 55–90, all MLT and for (a) all solar illumination conditions, (b) sunlit conditions and (c) darkness conditions. In each subplot, the solid line represents a fit to the data and the corresponding formula is also shown (see also Table 1, row 4–6). The error bars correspond to partitioning the data set randomly into two halves and computing the value separately for each. The Joule heating is for all Kp somewhat higher during sunlit conditions. In subplot (a) comparisons with the results of Foster et al. (1983) give that the Astrid-2/EMMA study indicates higher estimates of the Joule heating for Kp>2.
  • Fig. 6. Same as Fig. 5 but for AE indexes. The Joule heating is almost twice as high for sunlit conditions compared to darkness. At AE values above ∼400 an interesting saturation of the Joule heating occurrs. In subplot (a) comparisons with the results of Ahn et al. (1983) (dotted line) is shown. For all Kp the Joule heating estimates from Astrid-2/EMMA are always higher than the radar estimates by Ahn et al. (1983).

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APA

Olsson, A., Janhunen, P., Karlsson, T., Ivchenko, N., & Blomberg, L. G. (2004). Statistics of Joule heating in the auroral zone and polar cap using Astrid-2 satellite Poynting flux. Annales Geophysicae, 22(12), 4133–4142. https://doi.org/10.5194/angeo-22-4133-2004

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