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Using a neural network-based TEC model to reproduce the small-scale Nighttime Winter Anomaly feature

Adolfs, Marjolijn and Hoque, Mohammed Mainul and Shprits, Yuri (2022) Using a neural network-based TEC model to reproduce the small-scale Nighttime Winter Anomaly feature. International Workshop on GNSS Ionosphere (IWGI2022), Neustrelitz, Germany.

Full text not available from this repository.

Abstract

In this work a Neural Network (NN) based TEC model is proposed which is trained on vertical Total Electron Content (TEC) data from Global Ionospheric Maps (GIMs). The GIMs comprise a period of almost 20 years (2001-2020). The model was tested with data from the High Solar Activity (HSA) year 2015 and the Low Solar Activity (LSA) year 2020. The test data was excluded from the training dataset. The model performance was compared with the Neustrelitz TEC model (NTCM) and an improvement of approximately 1 TEC Unit was found during both solar activity periods for the NN based TEC model. Not only the performance of the NN based TEC model was analyzed but also its capability in predicting TEC containing large- and small-scale features of the ionosphere, e.g. the seasonal-, solar activity-, diurnal variations, equatorial anomalies and the Nighttime Winter Anomaly (NWA) was evaluated. Other NN-based networks are also capable of showing large-scale features in their predictions but the capability of reproducing the small-scale NWA feature is new. The NWA is only visible at certain locations in the Northern Hemisphere at the American sector and in the Southern Hemisphere at the Asian longitude sector under LSA conditions. This feature is caused by a higher mean ionization level during the winter nights compared to the summer nights.

Item URL in elib:https://elib.dlr.de/188956/
Document Type:Conference or Workshop Item (Speech)
Title:Using a neural network-based TEC model to reproduce the small-scale Nighttime Winter Anomaly feature
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Adolfs, MarjolijnMarjolijn.Adolfs (at) dlr.deUNSPECIFIED
Hoque, Mohammed MainulMainul.Hoque (at) dlr.deUNSPECIFIED
Shprits, YuriHelmholtz Centre Potsdam, GFZ German Research Centre for Geosciences, Potsdam, Germany and Department of Earth, Planetary and Space Sciences, University of California, Los Angeles, CA, USAUNSPECIFIED
Date:14 October 2022
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Ionosphere, TEC, neural network, Nighttime Winter Anomaly
Event Title:International Workshop on GNSS Ionosphere (IWGI2022)
Event Location:Neustrelitz, Germany
Event Type:Workshop
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Solar-Terrestrial Physics SO
Location: Neustrelitz
Institutes and Institutions:Institute for Solar-Terrestrial Physics > Space Weather Observation
Deposited By: Adolfs, Marjolijn
Deposited On:14 Oct 2022 12:18
Last Modified:14 Oct 2022 12:18

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