Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index

Storm time modeling of Global Electron Content (GEC) calculated from GIM-TEC for 1999-2013 is associated with new proxy of Auroral Electrojet variability expressed as a smoothed and normalized Auroral Electrojet index (AE(sn)). The variability in GEC is captured by the computation of DGEC which is o...

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Published in:Advances in Space Research
Main Authors: Yenen, S. D., Gulyaeva, T. L., Arikan, F., Arikan, O.
Other Authors: Elektrik Elektronik Mühendisliği
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier Sci Ltd 2015
Subjects:
Online Access:http://hdl.handle.net/11655/18757
https://doi.org/10.1016/j.asr.2015.06.025
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spelling fthacettepeuniir:oai:openaccess.hacettepe.edu.tr:11655/18757 2023-05-15T13:42:19+02:00 Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index Yenen, S. D. Gulyaeva, T. L. Arikan, F. Arikan, O. Elektrik Elektronik Mühendisliği 2015 text/plain application/pdf http://hdl.handle.net/11655/18757 https://doi.org/10.1016/j.asr.2015.06.025 en eng Elsevier Sci Ltd 10.1016/j.asr.2015.06.025 Advances In Space Research 0273-1177 https://doi.org/10.1016/j.asr.2015.06.025 http://hdl.handle.net/11655/18757 56 7 1343 1353 info:eu-repo/semantics/openAccess Astronomy & Astrophysics Geology Meteorology & Atmospheric Sciences info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2015 fthacettepeuniir https://doi.org/10.1016/j.asr.2015.06.025 2021-05-06T18:35:34Z Storm time modeling of Global Electron Content (GEC) calculated from GIM-TEC for 1999-2013 is associated with new proxy of Auroral Electrojet variability expressed as a smoothed and normalized Auroral Electrojet index (AE(sn)). The variability in GEC is captured by the computation of DGEC which is obtained by taking the hourly ratio of instant GEC to median of GEC values at the same hour of 7 preceding days. The storm onset is determined by a joint analysis of variations in IMF-B magnitude, its derivative (dB/dt) and direction of IMF-Bz together with sudden increase in AE exceeding 900 nT. The start of the pre-storm period is chosen to be 7 h prior to the storm onset time and the storm recovery period ends 41 h after the storm onset. The hourly AE, is related to DGEC during the storm period through a polynomial whose coefficients are estimated in the linear least squares sense. Estimated coefficients are examined and grouped with respect to different kinds of auroral storms. Examples of modeling methodology are provided using four different kinds of intense storms and substorms, namely, Positive Arctic, Positive Antarctic, Negative Arctic and Negative Antarctic that occurred between 1999 and 2013. The estimated coefficients for storm periods are compared with those of non-storm periods. It is observed that the positive correlation between the increase of AE and GEC can be a promising precursor of space weather variability. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved. Article in Journal/Newspaper Antarc* Antarctic Arctic Hacettepe University Institutional Repository Arctic Antarctic Advances in Space Research 56 7 1343 1353
institution Open Polar
collection Hacettepe University Institutional Repository
op_collection_id fthacettepeuniir
language English
topic Astronomy & Astrophysics
Geology
Meteorology & Atmospheric Sciences
spellingShingle Astronomy & Astrophysics
Geology
Meteorology & Atmospheric Sciences
Yenen, S. D.
Gulyaeva, T. L.
Arikan, F.
Arikan, O.
Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index
topic_facet Astronomy & Astrophysics
Geology
Meteorology & Atmospheric Sciences
description Storm time modeling of Global Electron Content (GEC) calculated from GIM-TEC for 1999-2013 is associated with new proxy of Auroral Electrojet variability expressed as a smoothed and normalized Auroral Electrojet index (AE(sn)). The variability in GEC is captured by the computation of DGEC which is obtained by taking the hourly ratio of instant GEC to median of GEC values at the same hour of 7 preceding days. The storm onset is determined by a joint analysis of variations in IMF-B magnitude, its derivative (dB/dt) and direction of IMF-Bz together with sudden increase in AE exceeding 900 nT. The start of the pre-storm period is chosen to be 7 h prior to the storm onset time and the storm recovery period ends 41 h after the storm onset. The hourly AE, is related to DGEC during the storm period through a polynomial whose coefficients are estimated in the linear least squares sense. Estimated coefficients are examined and grouped with respect to different kinds of auroral storms. Examples of modeling methodology are provided using four different kinds of intense storms and substorms, namely, Positive Arctic, Positive Antarctic, Negative Arctic and Negative Antarctic that occurred between 1999 and 2013. The estimated coefficients for storm periods are compared with those of non-storm periods. It is observed that the positive correlation between the increase of AE and GEC can be a promising precursor of space weather variability. (C) 2015 COSPAR. Published by Elsevier Ltd. All rights reserved.
author2 Elektrik Elektronik Mühendisliği
format Article in Journal/Newspaper
author Yenen, S. D.
Gulyaeva, T. L.
Arikan, F.
Arikan, O.
author_facet Yenen, S. D.
Gulyaeva, T. L.
Arikan, F.
Arikan, O.
author_sort Yenen, S. D.
title Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index
title_short Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index
title_full Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index
title_fullStr Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index
title_full_unstemmed Association of Ionospheric Storms and Substorms of Global Electron Content with Proxy Ae Index
title_sort association of ionospheric storms and substorms of global electron content with proxy ae index
publisher Elsevier Sci Ltd
publishDate 2015
url http://hdl.handle.net/11655/18757
https://doi.org/10.1016/j.asr.2015.06.025
geographic Arctic
Antarctic
geographic_facet Arctic
Antarctic
genre Antarc*
Antarctic
Arctic
genre_facet Antarc*
Antarctic
Arctic
op_relation 10.1016/j.asr.2015.06.025
Advances In Space Research
0273-1177
https://doi.org/10.1016/j.asr.2015.06.025
http://hdl.handle.net/11655/18757
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