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Data Assimilation Techniques for Ionospheric Reference Scenarios – project overview and achieved results

Gerzen, Tatjana and Wilken, Volker and Hoque, Mohammed Mainul and Minkwitz, David and Schlüter, Stefan (2016) Data Assimilation Techniques for Ionospheric Reference Scenarios – project overview and achieved results. EGU 2016, 17–22 April, 2016, Wien.

Full text not available from this repository.

Abstract

In order to conduct EGNOS performance simulations and to assure the capability for maintaining accuracy, integrity and availability of the EGNOS system, especially during ionospheric storm conditions, Ionospheric Reference Scenarios (IRSs) are applied by ESA to develop and validate its ionospheric corrections and error bounds. The currently used IRSs cover Europe and parts of Africa and are generated by the adjustment of the NeQuick model to vertical total electron content grids derived from ground-based GPS data. The project Data Assimilation Techniques for Ionospheric Reference Scenarios (DAIS) aims at the provision of improved EGNOS IRSs covering the extended EGNOS V3 service area (including remote areas or areas with less infrastructure). Time series of IRSs, covering ionospheric quiet and perturbed conditions, are generated by a 3D assimilation approach combining ionosonde, space- and ground-based GNSS measurements with an ionospheric background model. The special focus thereby is to demonstrate that space-based measurements can significantly improve the IRSs.

Item URL in elib:https://elib.dlr.de/104562/
Document Type:Conference or Workshop Item (Poster)
Title:Data Assimilation Techniques for Ionospheric Reference Scenarios – project overview and achieved results
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Gerzen, Tatjanatatjana.gerzen (at) dlr.deUNSPECIFIED
Wilken, Volkervolker.wilken (at) dlr.deUNSPECIFIED
Hoque, Mohammed MainulMainul.Hoque (at) dlr.deUNSPECIFIED
Minkwitz, Daviddavid.minkwitz (at) dlr.deUNSPECIFIED
Schlüter, StefanUNSPECIFIEDUNSPECIFIED
Date:2016
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:EGNOS Reference Scenarios, Data Assimilation, Ionosphere, Radiooccultation, TEC
Event Title:EGU 2016
Event Location:Wien
Event Type:international Conference
Event Dates:17–22 April, 2016
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication and Navigation
DLR - Research area:Raumfahrt
DLR - Program:R KN - Kommunikation und Navigation
DLR - Research theme (Project):R - Vorhaben Ionosphäre
Location: Neustrelitz
Institutes and Institutions:Institute of Communication and Navigation > Navigation
Deposited By: Gerzen, Tatjana
Deposited On:22 Jun 2016 15:31
Last Modified:22 Jun 2016 15:31

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