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Substorm Classification with the Windmi Model : Volume 10, Issue 4/5 (30/11/-0001)

By Horton, W.

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Book Id: WPLBN0004019552
Format Type: PDF Article :
File Size: Pages 9
Reproduction Date: 2015

Title: Substorm Classification with the Windmi Model : Volume 10, Issue 4/5 (30/11/-0001)  
Author: Horton, W.
Volume: Vol. 10, Issue 4/5
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
-0001
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

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Vassiliadis, D., Weigel, R. S., Doxas, I., & Horton, W. (-0001). Substorm Classification with the Windmi Model : Volume 10, Issue 4/5 (30/11/-0001). Retrieved from http://hawaiilibrary.net/


Description
Description: The University of Texas at Austin, Austin, TX 78712, USA. 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 vx Bs -AL 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 AL index. Intrinsic database uncertainties in the timing between the ground-based AL 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.

Summary
Substorm classification with the WINDMI model

 

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