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Method for Forecasting Ionospheric Electron Content Fluctuations Based on the Optical Flow Algorithm

Monte-Moreno, Enric and Hernandez-Pajares, Manuel and Yang, Heng and Garc´ıa Rigo, Alberto and Jin, Yaqi and Høeg, Per and Miloch, Wojciech J. and Wielgosz, Pawel and Jarmołowski, Wojciech and Paziewski, Jacek and Milanowska, Beata and Hoque, Mainul and Orus Perez, Raul (2021) Method for Forecasting Ionospheric Electron Content Fluctuations Based on the Optical Flow Algorithm. IEEE Transactions on Geoscience and Remote Sensing. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/TGRS.2021.3126888. ISSN 0196-2892.

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Abstract

We present the Optical Flow algorithm for forecasting the Rate Of total electron content Index (OFROTI). It consists of a method for predicting maps of rapid fluctuations of ionospheric electron content in terms of Global Navigation Satellite Systems (GNSS) dual-frequency phase measurements of the rate of change of total electron content index (ROTI). The forecast is made in space and time, at horizons up to more than 6 hours. These forecast maps will consist of the ROTI spatial distribution in the northern hemisphere above 45 degrees latitude. The prediction method models the ROTI spatial distribution as a pseudo-conservative flux, i.e., exploiting the inertia of the flux of ROTI to determine the future position. This idea is implemented as a modification of the Optical Flow image processing technique. The algorithm has been modified to deal with the non-conservation of the ROTI quantity in time. We show that the method, can predict both; the local value of ROTI and also the regions with ROTI above a given level, better than the prediction using the current map as forecast. I.e., predicting by a current map from horizons of 15 minutes up to 6 hours. The method was tested on 11 representative active and calm days during 2015 and 2018 from the multi-GNSS (GPS, GLONASS, Galileo, and Beidou) multifrequency measurements of more than 250 multi-GNSS receivers above N45 degrees latitude, including the high rate (1Hz) measurements of Greenland GNET network among the International GNSS Service network.

Item URL in elib:https://elib.dlr.de/148773/
Document Type:Article
Title:Method for Forecasting Ionospheric Electron Content Fluctuations Based on the Optical Flow Algorithm
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Monte-Moreno, EnricEnric Monte Moreno <enric.monte (at) upc.edu>UNSPECIFIED
Hernandez-Pajares, ManuelManuel Hernandez Pajares <manuel.hernandez (at) upc.edu>UNSPECIFIED
Yang, HengUNSPECIFIEDUNSPECIFIED
Garc´ıa Rigo, Albertoalberto.garcia.rigo (at) upc.eduUNSPECIFIED
Jin, Yaqiyaqi.jin (at) fys.uio.noUNSPECIFIED
Høeg, Perper.hoeg (at) fys.uio.noUNSPECIFIED
Miloch, Wojciech J.w.j.miloch (at) fys.uio.noUNSPECIFIED
Wielgosz, PawelPaweł Wielgosz <pawel.wielgosz (at) uwm.edu.pl>UNSPECIFIED
Jarmołowski, WojciechWojciech Jarmolowski <wojciech.jarmolowski (at) uwm.edu.pl>UNSPECIFIED
Paziewski, Jacekjacek.paziewski (at) uwm.edu.plUNSPECIFIED
Milanowska, Beatabeata.milanowska (at) uwm.edu.plUNSPECIFIED
Hoque, Mainulmainul.hoque (at) dlr.deUNSPECIFIED
Orus Perez, RaulRaul Orus Perez <raul.orus.perez (at) esa.int>UNSPECIFIED
Date:2021
Journal or Publication Title:IEEE Transactions on Geoscience and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
DOI:10.1109/TGRS.2021.3126888
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0196-2892
Status:Published
Keywords:TEC fluctuations, ROTI, forecast, optical flow method, Global Navigation Satelite Systems, scintillation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication, Navigation, Quantum Technology
DLR - Research area:Raumfahrt
DLR - Program:R KNQ - Communication, Navigation, Quantum Technology
DLR - Research theme (Project):R - Ionosphere
Location: Neustrelitz
Institutes and Institutions:Institute for Solar-Terrestrial Physics > Space Weather Observation
Deposited By: Hoque, Mohammed Mainul
Deposited On:31 Oct 2022 18:02
Last Modified:31 Oct 2022 18:02

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