English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Conference Paper

Analysis of the association between different substorm identification techniques

Authors

Lao,  Christian
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Forsyth,  Colin
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Freeman,  Mervyn
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Smith,  Andy W.
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Mooney,  Michaela
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

External Ressource
No external resources are shared
Fulltext (public)
There are no public fulltexts stored in GFZpublic
Supplementary Material (public)
There is no public supplementary material available
Citation

Lao, C., Forsyth, C., Freeman, M., Smith, A. W., Mooney, M. (2023): Analysis of the association between different substorm identification techniques, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-4629


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5021038
Abstract
Substorms are an explosive release of stored energy in the magnetosphere that result in many observable signals, such as enhancements in the aurora, energetic particle injections and ground magnetic field perturbations. However, the signatures produced by substorms are not necessarily unique to the phenomenon and may not occur every time. Furthermore, there is often no cross-calibration of substorm identifications. Thus, substorm event lists may miss or misidentify substorms, hindering our understanding of substorms and the development and validation of substorm models. In this study, we use metrics derived from contingency tables to quantify the association between lists of substorms derived from SuperMAG SML/SMU indices (Newell & Gjerloev, 2012; Forsyth et al., 2015; McPherron & Chu, 2017; Borovsky & Yakymenko, 2017), mid-latitude magnetometer data (Chu et al., 2015; McPherron & Chu, 2017), particle injections (Borovsky & Yakymenko, 2017) and auroral enhancements (Frey et al., 2004). Some degree of association is found between all the lists, with the strongest associations between similar techniques applied to SML, as we would expect, followed by similar techniques applied to SML and mid-latitude data. We discuss possible explanations of the levels of association seen from our results as well as their implications for substorm analyses.