Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption
Abstract 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 spatiot...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-03-01
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| Series: | Space Weather |
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| Online Access: | https://doi.org/10.1029/2019SW002385 |
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| author | V. A. Sergeev M. A. Shukhtina N. A. Stepanov D. D. Rogov A. V. Nikolaev E. Spanswick E. Donovan T. Raita A. Kero |
| author_facet | V. A. Sergeev M. A. Shukhtina N. A. Stepanov D. D. Rogov A. V. Nikolaev E. Spanswick E. Donovan T. Raita A. Kero |
| author_sort | V. A. Sergeev |
| collection | DOAJ |
| description | Abstract 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. |
| format | Article |
| id | doaj-art-7aa6d84c1d184127a5bbf99f9e8cbb24 |
| institution | Kabale University |
| issn | 1542-7390 |
| language | English |
| publishDate | 2020-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Space Weather |
| spelling | doaj-art-7aa6d84c1d184127a5bbf99f9e8cbb242025-01-14T16:27:19ZengWileySpace Weather1542-73902020-03-01183n/an/a10.1029/2019SW002385Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral AbsorptionV. A. Sergeev0M. A. Shukhtina1N. A. Stepanov2D. D. Rogov3A. V. Nikolaev4E. Spanswick5E. Donovan6T. Raita7A. Kero8Department of Earth Physics St. Petersburg State University St. Petersburg RussiaDepartment of Earth Physics St. Petersburg State University St. Petersburg RussiaDepartment of Earth Physics St. Petersburg State University St. Petersburg RussiaDepartment of Geophysics Arctic and Antarctic Research Institute St. Petersburg RussiaDepartment of Geophysics Arctic and Antarctic Research Institute St. Petersburg RussiaDepartment of Physics and Astronomy University of Calgary Calgary Alberta CanadaDepartment of Physics and Astronomy University of Calgary Calgary Alberta CanadaSodankyla Geophysical Observatory University of Oulu Sodankyla FinlandSodankyla Geophysical Observatory University of Oulu Sodankyla FinlandAbstract 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.https://doi.org/10.1029/2019SW002385energetic electron precipitationsubstormsempirical dynamical modelauroral radiowave absorption |
| spellingShingle | V. A. Sergeev M. A. Shukhtina N. A. Stepanov D. D. Rogov A. V. Nikolaev E. Spanswick E. Donovan T. Raita A. Kero Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption Space Weather energetic electron precipitation substorms empirical dynamical model auroral radiowave absorption |
| title | Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption |
| title_full | Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption |
| title_fullStr | Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption |
| title_full_unstemmed | Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption |
| title_short | Toward the Reconstruction of Substorm‐Related Dynamical Pattern of the Radiowave Auroral Absorption |
| title_sort | toward the reconstruction of substorm related dynamical pattern of the radiowave auroral absorption |
| topic | energetic electron precipitation substorms empirical dynamical model auroral radiowave absorption |
| url | https://doi.org/10.1029/2019SW002385 |
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