Research output: Contribution to journal › Article › peer-review
Toward the Reconstruction of Substorm-Related Dynamical Pattern of the Radiowave Auroral Absorption. / Sergeev, V. A.; Shukhtina, M. A.; Stepanov, N. A.; Rogov, D. D.; Spanswick, E.; Donovan, E.; Raita, T.; Kero, A.
In: Space Weather, Vol. 18, No. 3, e2019SW002385, 01.03.2020.Research output: Contribution to journal › Article › peer-review
}
TY - JOUR
T1 - Toward the Reconstruction of Substorm-Related Dynamical Pattern of the Radiowave Auroral Absorption
AU - Sergeev, V. A.
AU - Shukhtina, M. A.
AU - Stepanov, N. A.
AU - Rogov, D. D.
AU - Spanswick, E.
AU - Donovan, E.
AU - Raita, T.
AU - Kero, A.
PY - 2020/3/1
Y1 - 2020/3/1
N2 - In addition to existing empirical models describing the average distributions of energetic electron precipitation into the auroral ionosphere at different activity levels, we develop and test a semiempirical approach to construct dynamical models describing the recurrent features of spatiotemporal development of auroral absorption in the ionosphere during individual substorms. Its key ingredients are (a) usage of linear prediction filter technique to extract from riometer data the response function to the injection of unit magnitude and (b) characterization of injection parameters by midlatitude magnetic variations caused by the substorm current wedge. Using global riometer network we test the method performance for stations in the middle of auroral zone (at corrected geomagnetic latitudes of 65–67°) where generally the absorption amplitude is largest. In this paper we use the midlatitude positive bay index, recently developed by X. Chu and R. McPherron, to drive the model. We evaluate the model performance, discuss the dynamical properties of energetic electron precipitation as revealed by the linear prediction filter response function analyses, and finally, we discuss possible future improvements of this method intended for both science and applications.
AB - In addition to existing empirical models describing the average distributions of energetic electron precipitation into the auroral ionosphere at different activity levels, we develop and test a semiempirical approach to construct dynamical models describing the recurrent features of spatiotemporal development of auroral absorption in the ionosphere during individual substorms. Its key ingredients are (a) usage of linear prediction filter technique to extract from riometer data the response function to the injection of unit magnitude and (b) characterization of injection parameters by midlatitude magnetic variations caused by the substorm current wedge. Using global riometer network we test the method performance for stations in the middle of auroral zone (at corrected geomagnetic latitudes of 65–67°) where generally the absorption amplitude is largest. In this paper we use the midlatitude positive bay index, recently developed by X. Chu and R. McPherron, to drive the model. We evaluate the model performance, discuss the dynamical properties of energetic electron precipitation as revealed by the linear prediction filter response function analyses, and finally, we discuss possible future improvements of this method intended for both science and applications.
KW - auroral radiowave absorption
KW - empirical dynamical model
KW - energetic electron precipitation
KW - substorms
KW - RIOMETER
KW - ELECTRON-PRECIPITATION
KW - ENERGETIC ELECTRONS
KW - MIDLATITUDE POSITIVE BAY
KW - DEPENDENCE
KW - ACCELERATION
KW - IONOSPHERE
KW - SOLAR-WIND
KW - INJECTIONS
KW - INDEX
UR - http://www.scopus.com/inward/record.url?scp=85082339306&partnerID=8YFLogxK
U2 - 10.1029/2019SW002385
DO - 10.1029/2019SW002385
M3 - Article
AN - SCOPUS:85082339306
VL - 18
JO - Space Weather
JF - Space Weather
SN - 1542-7390
IS - 3
M1 - e2019SW002385
ER -
ID: 53464447