Forecasting of Ionospheric Total Electron Content Data using Autoregressive Distributed Lag Model for Mid-Latitude Region During Solar Minimum and Maximum-Reference-Cited by-同舟云学术

Forecasting of Ionospheric Total Electron Content Data using Autoregressive Distributed Lag Model for Mid-Latitude Region During Solar Minimum and Maximum

Published:2022-12-08 Issue: Volume: Page:
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Container-title:2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
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Author:

Shenvi Nayana¹,Virani Hassanali¹,Chandrasekhar Enamundram²

Affiliation:

1. Goa College of Engineering,ETC Department,Ponda,Goa,India

2. Indian Institute of Technology,Department of Earth Sciences,Powai,Mumbai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028778/10028782/10028905.pdf?arnumber=10028905

Reference30 articles.

1. GIM-TEC adaptive ionospheric weather assessment and forecast system;tamara;Journal of Atmospheric and Solar-Terrestrial Physics,0

2. A new method for Total Electron Content forecasting using Global Positioning System measurements;stanimir;ESA Space Weather Workshop,2001

3. Wavelet analysis and forecasting of VTEC obtained with GPS observations over European latitudes

4. Global prediction of the vertical total electron content of the ionosphere based on GPS data

5. Selecting appropriate methodological framework for time series data analysis;min;The Journal of Finance and Data Science,2018

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