Substorm classification with the WINDMI model
The results of a genetic algorithm optimization of the WINDMI model using the Blanchard-McPherron substorm data set is presented. A key result from the large-scale computations used to search for convergence in the predictions over the database is the finding that there are three distinct types...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2003-01-01
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| Series: | Nonlinear Processes in Geophysics |
| Online Access: | http://www.nonlin-processes-geophys.net/10/363/2003/npg-10-363-2003.pdf |
| _version_ | 1811235215069151232 |
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| author | W. Horton R. S. Weigel D. Vassiliadis I. Doxas |
| author_facet | W. Horton R. S. Weigel D. Vassiliadis I. Doxas |
| author_sort | W. Horton |
| collection | DOAJ |
| description | The results of a genetic algorithm optimization of the WINDMI model using the Blanchard-McPherron substorm data set is presented. A key result from the large-scale computations used to search for convergence in the predictions over the database is the finding that there are three distinct types of <i>v<sub>x </sub>B<sub>s</sub> -AL </i>waveforms characterizing substorms. Type I and III substorms are given by the internally-triggered WINDMI model. The analysis reveals an additional type of event, called a type II substorm, that requires an external trigger as in the northward turning of the IMF model of Lyons (1995). We show that incorporating an external trigger, initiated by a fast northward turning of the IMF, into WINDMI, a low-dimensional model of substorms, yields improved predictions of substorm evolution in terms of the <i>AL</i> index. Intrinsic database uncertainties in the timing between the ground-based <i>AL </i>electrojet signal and the arrival time at the magnetopause of the IMF data measured by spacecraft in the solar wind prevent a sharp division between type I and II events. However, within these timing limitations we find that the fraction of events is roughly 40% type I, 40% type II, and 20% type III. |
| first_indexed | 2024-04-12T11:47:17Z |
| format | Article |
| id | doaj.art-820ca504bccd4ff0a8006f892936cbc7 |
| institution | Directory Open Access Journal |
| issn | 1023-5809 1607-7946 |
| language | English |
| last_indexed | 2024-04-12T11:47:17Z |
| publishDate | 2003-01-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Nonlinear Processes in Geophysics |
| spelling | doaj.art-820ca504bccd4ff0a8006f892936cbc72022-12-22T03:34:19ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462003-01-01104/5363371Substorm classification with the WINDMI modelW. HortonR. S. WeigelD. VassiliadisI. DoxasThe results of a genetic algorithm optimization of the WINDMI model using the Blanchard-McPherron substorm data set is presented. A key result from the large-scale computations used to search for convergence in the predictions over the database is the finding that there are three distinct types of <i>v<sub>x </sub>B<sub>s</sub> -AL </i>waveforms characterizing substorms. Type I and III substorms are given by the internally-triggered WINDMI model. The analysis reveals an additional type of event, called a type II substorm, that requires an external trigger as in the northward turning of the IMF model of Lyons (1995). We show that incorporating an external trigger, initiated by a fast northward turning of the IMF, into WINDMI, a low-dimensional model of substorms, yields improved predictions of substorm evolution in terms of the <i>AL</i> index. Intrinsic database uncertainties in the timing between the ground-based <i>AL </i>electrojet signal and the arrival time at the magnetopause of the IMF data measured by spacecraft in the solar wind prevent a sharp division between type I and II events. However, within these timing limitations we find that the fraction of events is roughly 40% type I, 40% type II, and 20% type III.http://www.nonlin-processes-geophys.net/10/363/2003/npg-10-363-2003.pdf |
| spellingShingle | W. Horton R. S. Weigel D. Vassiliadis I. Doxas Substorm classification with the WINDMI model Nonlinear Processes in Geophysics |
| title | Substorm classification with the WINDMI model |
| title_full | Substorm classification with the WINDMI model |
| title_fullStr | Substorm classification with the WINDMI model |
| title_full_unstemmed | Substorm classification with the WINDMI model |
| title_short | Substorm classification with the WINDMI model |
| title_sort | substorm classification with the windmi model |
| url | http://www.nonlin-processes-geophys.net/10/363/2003/npg-10-363-2003.pdf |
| work_keys_str_mv | AT whorton substormclassificationwiththewindmimodel AT rsweigel substormclassificationwiththewindmimodel AT dvassiliadis substormclassificationwiththewindmimodel AT idoxas substormclassificationwiththewindmimodel |