Comparison of Variations of TEC at Disturbed and Quiet Time Using Nonlinear Dynamics Tools-Reference-Cited by-同舟云学术

Comparison of Variations of TEC at Disturbed and Quiet Time Using Nonlinear Dynamics Tools

Published:2018-09 Issue:9 Volume:123 Page:7740-7754
ISSN:2169-9380
Container-title:Journal of Geophysical Research: Space Physics
language:en
Short-container-title:J. Geophys. Res. Space Physics

Author:

Eapen Suja¹,Asokan K.²,Kumar K. Satheesh³,Ramamohan T. R.⁴,Kumar Anil⁵^ORCID

Affiliation:

1. Department of Mathematics; Mar Ivanios College; Thiruvananthapuram India

2. Department of Mathematics; College of Engineering; Thiruvananthapuram India

3. Department of Futures Studies; University of Kerala; Thiruvananthapuram India

4. Department of Chemical Engineering; M. S. Ramaiah Institute of Technology; MSR Nagar, Bangalore India

5. Department of Mathematics; Indian Institute of Space Science and Technology; Thiruvananthapuram India

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Geophysics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1029/2018JA025320/fullpdf

Reference37 articles.

1. Investigation on mid-latitude stations to storm-time variations of GPS-TEC;Adebiyi;Advances in Space Research,2015

2. Magnetic storm effects on the variation of TEC over Ilorin an equatorial station;Adeniyi;Radio Science,2014

3. Ionospheric response to the 2015, St. Patrick's Day storm: A global multi-instrumental overview;Astafyeva;Journal of Geophysical Research: Space Physics,2015

4. Dependence of ionospheric response on the local time of sudden commencement and intensity of storms;Balan;Journal of Atmospheric and Terrestrial Physics,1990

5. Experimental demonstration of chaos in a microbial food web;Becks;Nature,2005

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