EGU21-13510
https://doi.org/10.5194/egusphere-egu21-13510
EGU General Assembly 2021
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Multi-year statistical analysis of properties of current sheets at 1 AU

Olga Khabarova1,2, Timothy Sagitov3, Roman Kislov1,2, and Gang Li4
Olga Khabarova et al.
  • 1Pushkov Institute of terrestrial magnetism (IZMIRAN) RAS, Troitsk, Moscow, Russia (habarova@izmiran.ru)
  • 2Space Research Institute of the Russian Academy of Sciences (IKI), Moscow, Russia
  • 3Higher School of Economics University (HSE), Moscow, Russia
  • 4Center for Space Plasma and Aeronomic Research (CSPAR), University of Alabama in Huntsville, Huntsville, AL 35805, USA

We use the multi-year open acees database of current sheets identified at 1 AU with the one-second resolution from ACE data (https://csdb.izmiran.ru ) to study properties of current sheets in the solar wind. We find that the CS daily rate (the number of CSs per day) R correlates with the solar wind temperature T rather than with the solar wind speed V and is proportional to the sum of the kinetic and thermal energy density. The main statistical results preliminary obtained in the study are as follows:

  • There is clustering of CSs.
  • Maxima of R are associated with stream/corotating interaction regions (SIRs/CIRs) and interplanetary mass ejection (ICME) sheaths.
  • On average, one-three thousands of CSs are detected daily at the Earth’s orbit. The best-fit parameter is (V 2 (N+5 N ' ) + 10( N+ N ' )T )/5000 if V is given in km/s, T - in K, N is given in cm-3,  and N ' =2 cm-3 is the background level of the solar wind density. The correlation coefficient between the parameter and R  is ~0.8.
  • There is no obvious connection between the daily CS rate and the solar cycle. However, this preliminary conclusion should be reconsidered after the expansion of the CS database to several solar cycles.

O.K. and R.K. are supported by Russian Science Foundation grant No. 20-42-04418. T.S. acknowledges the HSE’s general support and encouragement of student’s scientific activity.

How to cite: Khabarova, O., Sagitov, T., Kislov, R., and Li, G.: Multi-year statistical analysis of properties of current sheets at 1 AU, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-13510, https://doi.org/10.5194/egusphere-egu21-13510, 2021.

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