Research output: Contribution to journal › Article › peer-review
Reconstruction of Magnetospheric Storm-Time Dynamics Using Cylindrical Basis Functions and Multi-Mission Data Mining. / Цыганенко, Николай Алексеевич; Андреева, Варвара Андреевна; Sitnov, Mikhail.
In: Journal of Geophysical Research: Space Physics, Vol. 126, No. 2, ARTN e2020JA028390, 01.02.2021.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Reconstruction of Magnetospheric Storm-Time Dynamics Using Cylindrical Basis Functions and Multi-Mission Data Mining
AU - Цыганенко, Николай Алексеевич
AU - Андреева, Варвара Андреевна
AU - Sitnov, Mikhail
PY - 2021/2/1
Y1 - 2021/2/1
N2 - First results are presented of the modeling of magnetospheric storm events, based on: (i) anew method to represent the magnetic field by means of the so-called cylindrical basis functions, (ii) the data mining approach by Sitnov et al. (2008); https://doi.org/10.1029/2007ja013003, and (iii) upgraded and extended pool of multi-mission data taken in 1995–2019. The study is focused on the low-latitude magnetospheric domain in the distance range 3–18RE bounded by field line shells with footpoint latitudes ±70°. The magnetic configurations are reconstructed from data subsets, selected from the grand database by the nearest-neighbor method, using both interplanetary data and the ground disturbance indices. A strong storm of May 27–29, 2017, has been studied in relation to its effect on the reconfiguration of the low-latitude magnetosphere. The modeling reproduces the main features of the magnetosphere dynamics in terms of the geomagnetic field depression/compression and extremely variable field line stretching. The initial contraction of the magnetosphere during the storm sudden commencement results in a local transient surge of the inner tail current and a dramatic antisunward discharge of the magnetic flux. As the storm progresses, the ring current buildup results in a strongly depressed magnetic field in the inner magnetosphere, which expels the magnetic flux to larger distances and increases the field line connection across the more distant tail plasma sheet. At the same time, a strong dawn-dusk asymmetry is developed due to the formation of the duskside partial ring current, in agreement with previous independent results.
AB - First results are presented of the modeling of magnetospheric storm events, based on: (i) anew method to represent the magnetic field by means of the so-called cylindrical basis functions, (ii) the data mining approach by Sitnov et al. (2008); https://doi.org/10.1029/2007ja013003, and (iii) upgraded and extended pool of multi-mission data taken in 1995–2019. The study is focused on the low-latitude magnetospheric domain in the distance range 3–18RE bounded by field line shells with footpoint latitudes ±70°. The magnetic configurations are reconstructed from data subsets, selected from the grand database by the nearest-neighbor method, using both interplanetary data and the ground disturbance indices. A strong storm of May 27–29, 2017, has been studied in relation to its effect on the reconfiguration of the low-latitude magnetosphere. The modeling reproduces the main features of the magnetosphere dynamics in terms of the geomagnetic field depression/compression and extremely variable field line stretching. The initial contraction of the magnetosphere during the storm sudden commencement results in a local transient surge of the inner tail current and a dramatic antisunward discharge of the magnetic flux. As the storm progresses, the ring current buildup results in a strongly depressed magnetic field in the inner magnetosphere, which expels the magnetic flux to larger distances and increases the field line connection across the more distant tail plasma sheet. At the same time, a strong dawn-dusk asymmetry is developed due to the formation of the duskside partial ring current, in agreement with previous independent results.
KW - geomagnetic field
KW - geomagnetic storms
KW - magnetosphere
KW - modeling
KW - solar wind
KW - spacecraft data
UR - https://www.mendeley.com/catalogue/6948b33d-19f6-3b05-9695-d26af2b53a82/
U2 - 10.1029/2020ja028390
DO - 10.1029/2020ja028390
M3 - статья
VL - 126
JO - Journal of Geophysical Research: Biogeosciences
JF - Journal of Geophysical Research: Biogeosciences
SN - 0148-0227
IS - 2
M1 - ARTN e2020JA028390
ER -
ID: 74888972