Title:
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Ionosphere monitoring and forecast activities within the IAG working group “Ionosphere Prediction”
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Author:
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Hoque, Mainul; García Rigo, Alberto; Erdogan, Eren; Cueto, M.; Jakowski, Norbert; Berdermann, Jens; Hernández Pajares, Manuel; Schmidt, Michael; Wilken, Volken
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Other authors:
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Universitat Politècnica de Catalunya. Departament de Matemàtiques; Universitat Politècnica de Catalunya. IonSAT - Grup de determinació Ionosfèrica i navegació per SAtèl·lit i sistemes Terrestres |
Abstract:
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Ionospheric disturbances can affect technologies in space and on Earth disrupting satellite and airline operations, communications networks, navigation systems. As the world becomes ever more dependent on these technologies, ionospheric disturbances as part of space weather pose an increasing risk to the economic vitality and national security. Therefore, having the knowledge of ionospheric state in advance during space weather events is becoming more and more important. To promote scientific cooperation we recently formed a Working Group (WG) called “Ionosphere Predictions” within the International Association of Geodesy (IAG) under Sub-Commission 4.3 “Atmosphere Remote Sensing” of the Commission 4 “Positioning and Applications”. The general objective of the WG is to promote the development of ionosphere prediction algorithm/models describing the electron density and/or the total electron content (TEC). Our presented work enables the possibility to compare total electron content (TEC) prediction approaches/results from different centers contributing to this WG such as German Aerospace Center (DLR), Universitat Politècnica de Catalunya (UPC), Technische Universität München (TUM) and GMV. |
Subject(s):
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-Àrees temàtiques de la UPC::Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia -Meteorology--Observations--Statistics -Ionosphere -Ionosfera -Meteorologia -- Observacions -- Mètodes estadístics |
Rights:
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Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Document type:
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Article - Published version Conference Object |
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