Detecting Ionospheric TEC Disturbances by Three Methods of Detrending through Dense CORS During A Strong Thunderstorm

Main Article Content

Mohamed Ahmed Ahmed Freeshah
https://orcid.org/0000-0003-3539-7450
Xiaohong Zhang
Jun Chen
Zhibo Zhao
Nahed Osama
Mohammed Sadek
Nana Twumasi

Abstract

Satellite navigation and communications system can substantially be disturbed by ionospheric perturbations. Consequently, monitoring ionospheric anomalous has great significance. In this study, we focus on the short-term irregular disturbances through a strong thunderstorm in Wuhan City, Hubei, China by using ground-based GNSS observations from dense Continuously Operating Reference Stations (CORS) with a sampling rate of 1s. The total electron content (TEC) was used to find possible perturbations after biases have been calibrated for the derived TEC. Additionally, the geomagnetic conditions and the state of solar radiation was checked in the study period to recognize the causes for the ionospheric disturbances. The maxima and minima values of TEC deviations were ~2.5 and 0.5 TECU, respectively. Three methods of Detrended Fluctuations Analysis (DFA) were applied to assess the ionospheric disturbances over GNSS CORS stations; “Multi-step numerical difference”(MSND), “6th order polynomials fitting” (PF), and “one-week average difference”(AD). The analyzed results showed that MSND has the lowest performance. Meanwhile, the fitted TEC data with 6th order polynomials technique presented an improvement and a discrepancy related to MSND. To resolve this discrepancy, we proposed AD technique, it accomplished the best performance related to the TEC disturbances and was compared with the other two techniques. The research findings showed that ionospheric disturbed electrons can be generated with various rates and different velocities through lightning influences.

Article Details

How to Cite
1.
Freeshah MAA, Zhang X, Chen J, Zhao Z, Osama N, Sadek M, Twumasi N. Detecting Ionospheric TEC Disturbances by Three Methods of Detrending through Dense CORS During A Strong Thunderstorm. Ann. Geophys. [Internet]. 2020Dec.29 [cited 2021Sep.25];63(6):GD667. Available from: https://www.annalsofgeophysics.eu/index.php/annals/article/view/8372
Section
Geodesy
Author Biographies

Mohamed Ahmed Ahmed Freeshah, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, China

He received a Bachelor of Engineering in Surveying from Benha University, Egypt in 2010; Scholarship from Academy of Scientific Research and Technology for funding MSc, Egypt in 2013. Master of Engineering in Geodesy and Surveying from Benha University, Egypt in 2016. Currently, a Ph.D. Scholar at State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China. His main research interests include GNSS and ionospheric disturbances.

Xiaohong Zhang, School of Geodesy and Geomatics, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

He received a Bachelor of Engineering in Geodesy from Wuhan Technical University of Surveying and Mapping, China in 1997; a Master of Engineering in Geodesy from Wuhan Technical University of Surveying and Mapping, China in 1999 and a Doctor of Engineering in Geodesy and Geomatics from Wuhan University, China in 2002. His current interests include GNSS precise point positioning, GPS/INS integration, ionosphere modeling and GPS/MET.

Nahed Osama, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

s a research assistant at National Authority for Remote sensing and space sciences (NARSS) , Cairo, Egypt. currently works as a master student at the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, China. Nahed does research in INSAR & LIDAR fusion and forest inventory.