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Reconstructing Substorms via Historical Data Mining: Is It Really Feasible? / Tsyganenko, N. A.; Andreeva, V. A.; Sitnov, M. I.; Stephens, G. K.; Gjerloev, J. W. ; Chu, X.; Troshichev, O. A. .

In: Journal of Geophysical Research: Space Physics, Vol. 126, No. 10, e2021JA029604, 10.2021.

Research output: Contribution to journal › Article › peer-review

Harvard

Tsyganenko, NA, Andreeva, VA, Sitnov, MI, Stephens, GK, Gjerloev, JW, Chu, X & Troshichev, OA 2021, 'Reconstructing Substorms via Historical Data Mining: Is It Really Feasible?', Journal of Geophysical Research: Space Physics, vol. 126, no. 10, e2021JA029604. https://doi.org/10.1029/2021ja029604

APA

Tsyganenko, N. A., Andreeva, V. A., Sitnov, M. I., Stephens, G. K., Gjerloev, J. W., Chu, X., & Troshichev, O. A. (2021). Reconstructing Substorms via Historical Data Mining: Is It Really Feasible? Journal of Geophysical Research: Space Physics, 126(10), [e2021JA029604]. https://doi.org/10.1029/2021ja029604

Vancouver

Tsyganenko NA, Andreeva VA, Sitnov MI, Stephens GK, Gjerloev JW, Chu X et al. Reconstructing Substorms via Historical Data Mining: Is It Really Feasible? Journal of Geophysical Research: Space Physics. 2021 Oct;126(10). e2021JA029604. https://doi.org/10.1029/2021ja029604

Author

Tsyganenko, N. A. ; Andreeva, V. A. ; Sitnov, M. I. ; Stephens, G. K. ; Gjerloev, J. W. ; Chu, X. ; Troshichev, O. A. . / Reconstructing Substorms via Historical Data Mining: Is It Really Feasible?. In: Journal of Geophysical Research: Space Physics. 2021 ; Vol. 126, No. 10.

BibTeX

@article{1605518a447b4ab684a2d4244b583383,
title = "Reconstructing Substorms via Historical Data Mining: Is It Really Feasible?",
abstract = "The dynamical structure of the Earth's magnetosphere during geomagnetic substorms is reconstructed, based on (a) a large multi-year database of satellite data taken during the last quarter century, (b) a pool of concurrent ground geomagnetic activity indices, covering full range of latitudes, (c) a new magnetic field model with enhanced spatial resolution, and (d) an advanced “nearest-neighbor” data mining approach. Based on a synthesis of the above methods and data, we explore the ability of our approach to extract maximum information from past observations and reproduce the principal phases of magnetospheric substorms in terms of time sequences of the magnetic field and electric current diagrams, from the beginning to active and recovery phase of the disturbance.",
keywords = "геомагнитное поле, солнечный ветер, суббури, моделирование, geomagnetic indices, magnetic field, magnetosphere, modeling, spacecraft data mining, substorms, MAGNETOSPHERIC SUBSTORMS, MAGNETIC-FIELD, MODEL, CYCLE",
author = "Tsyganenko, {N. A.} and Andreeva, {V. A.} and Sitnov, {M. I.} and Stephens, {G. K.} and Gjerloev, {J. W.} and X. Chu and Troshichev, {O. A.}",
note = "Publisher Copyright: {\textcopyright} 2021. American Geophysical Union. All Rights Reserved.",
year = "2021",
month = oct,
doi = "10.1029/2021ja029604",
language = "English",
volume = "126",
journal = "Journal of Geophysical Research: Space Physics",
issn = "2169-9380",
publisher = "Wiley-Blackwell",
number = "10",

}

RIS

TY - JOUR

T1 - Reconstructing Substorms via Historical Data Mining: Is It Really Feasible?

AU - Tsyganenko, N. A.

AU - Andreeva, V. A.

AU - Sitnov, M. I.

AU - Stephens, G. K.

AU - Gjerloev, J. W.

AU - Chu, X.

AU - Troshichev, O. A.

N1 - Publisher Copyright: © 2021. American Geophysical Union. All Rights Reserved.

PY - 2021/10

Y1 - 2021/10

N2 - The dynamical structure of the Earth's magnetosphere during geomagnetic substorms is reconstructed, based on (a) a large multi-year database of satellite data taken during the last quarter century, (b) a pool of concurrent ground geomagnetic activity indices, covering full range of latitudes, (c) a new magnetic field model with enhanced spatial resolution, and (d) an advanced “nearest-neighbor” data mining approach. Based on a synthesis of the above methods and data, we explore the ability of our approach to extract maximum information from past observations and reproduce the principal phases of magnetospheric substorms in terms of time sequences of the magnetic field and electric current diagrams, from the beginning to active and recovery phase of the disturbance.

AB - The dynamical structure of the Earth's magnetosphere during geomagnetic substorms is reconstructed, based on (a) a large multi-year database of satellite data taken during the last quarter century, (b) a pool of concurrent ground geomagnetic activity indices, covering full range of latitudes, (c) a new magnetic field model with enhanced spatial resolution, and (d) an advanced “nearest-neighbor” data mining approach. Based on a synthesis of the above methods and data, we explore the ability of our approach to extract maximum information from past observations and reproduce the principal phases of magnetospheric substorms in terms of time sequences of the magnetic field and electric current diagrams, from the beginning to active and recovery phase of the disturbance.

KW - геомагнитное поле, солнечный ветер, суббури, моделирование

KW - geomagnetic indices

KW - magnetic field

KW - magnetosphere

KW - modeling

KW - spacecraft data mining

KW - substorms

KW - MAGNETOSPHERIC SUBSTORMS

KW - MAGNETIC-FIELD

KW - MODEL

KW - CYCLE

UR - http://www.scopus.com/inward/record.url?scp=85118133296&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/e29eddb4-4dc6-3bb6-a6a3-4467fd2c69bb/

U2 - 10.1029/2021ja029604

DO - 10.1029/2021ja029604

M3 - Article

VL - 126

JO - Journal of Geophysical Research: Space Physics

JF - Journal of Geophysical Research: Space Physics

SN - 2169-9380

IS - 10

M1 - e2021JA029604

ER -

ID: 86003707