NDLI: Ionosphere TEC prediction based on Chaos

Content Provider	IEEE Xplore Digital Library
Author	Xu Zhenzhong Wang Weimin Wang Bo
Copyright Year	2012
Description	Author affiliation: Unit No. 96631 of PLA, Beijing, China (Wang Bo) \|\| Meteorology Institute, PLA Science and Technology University Nanjing, China (Xu Zhenzhong; Wang Weimin)
Abstract	This paper proved the chaotic property of ionosphere total electron content (TEC) by using the data in 1997 and 2001 at Wuhan station, based on Chaos theory. The time delay was calculated by using mutual information method, the best embedding dimension was calculated by using G-P method and the largest Lyapunov exponent was calculated by using small data method. Based upon this, it constructed the forecasting network with an advanced time of one or twenty-four hours by means of BP Neural Network and using the data of 1998 and 2002 to test the network. Analysis of the forecasting error indicates that one hour ahead prediction network which can reach high accuracy is quite suitable for quasi real-time prediction of ionosphere TEC over this region, twenty-four hours ahead prediction can controlled the relative error to be about 10%. The average absolute error is about 1.6256TECU during solar minimum, far less than 6.4575 TECU predicted during solar maximum. The forecasting error is relative high when magnetic storm happens on the morning, noon and sunset.
Starting Page	458
Ending Page	460
File Size	310930
Page Count	3
File Format	PDF
ISBN	9781467317993
e-ISBN	9781467318006
DOI	10.1109/ISAPE.2012.6408805
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-22
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ionosphere Chaos Neural networks Forecasting Predictive models Correlation Space vehicles pediction TEC Wuhan neural network
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in