Forecasting Space Weather Effects on GNSS Systems

Space weather can have adverse effects on technology, such as causing disturbances of Global Navigation Satellite Systems (GNSS). As space weather effects on GNSS cannot be mitigated, it is of vital importance to develop a method for space weather forecasting. This thesis presents the motivation for...

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Bibliographic Details
Main Author: Follestad, Anna Fæhn
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: 2020
Subjects:
Arctic
Online Access:http://hdl.handle.net/10852/77941
http://urn.nb.no/URN:NBN:no-81049
id ftoslouniv:oai:www.duo.uio.no:10852/77941
record_format openpolar
spelling ftoslouniv:oai:www.duo.uio.no:10852/77941 2024-09-30T14:31:08+00:00 Forecasting Space Weather Effects on GNSS Systems Follestad, Anna Fæhn 2020 http://hdl.handle.net/10852/77941 http://urn.nb.no/URN:NBN:no-81049 en eng Paper I: Fæhn Follestad, A., Clausen, L.B.N., Moen, J. I., Jacobsen K. S. ‘Space Weather Effects on an RTK Positioning System’. Submitted for publication in Space Weather. The paper is not available in DUO awaiting publishing. Paper II: Fæhn Follestad, A., Clausen, L. B. N., Thomas, E. G., Jin, Y., Coster, A. (2019). ‘Polar Cap Patch Prediction in the Expanding Contracting Polar Cap Paradigm’. In: Space Weather, 17. DOI:10.1029/2019SW002276. The article is included in the thesis. Also available at: https://doi.org/10.1029/2019SW002276 Paper III: Fæhn Follestad, A., Clausen, L. B. N., Miloch, W. J., van den Ijssel, J., Haagmans, R. (2020). ‘Two-Dimensional Reconstruction of Ionospheric Plasma Density Using Swarm’. (Accepted 29 April 2020: draft version shown here) Space Weather, 18, e2019SW002406. doi:10.1029/2019SW002406. The article is included in the thesis. Also available at: https://doi.org/10.1029/2019SW002406 https://doi.org/10.1029/2019SW002276 https://doi.org/10.1029/2019SW002406 http://urn.nb.no/URN:NBN:no-81049 http://hdl.handle.net/10852/77941 URN:NBN:no-81049 Fulltext https://www.duo.uio.no/bitstream/handle/10852/77941/1/PhD-Follestad-2020.pdf Doctoral thesis Doktoravhandling 2020 ftoslouniv https://doi.org/10.1029/2019SW00227610.1029/2019SW002406 2024-09-12T05:44:03Z Space weather can have adverse effects on technology, such as causing disturbances of Global Navigation Satellite Systems (GNSS). As space weather effects on GNSS cannot be mitigated, it is of vital importance to develop a method for space weather forecasting. This thesis presents the motivation for developing a space weather forecast by evaluating the performance of a commercially available satellite-based positioning system over a period of three years. Next, an algorithm that can predict the worst disturbances of GNSS system is presented. The model is validated by comparing results from the prediction model to ground observations. Lastly, a method to monitor the polar ionosphere using only the Swarm satellites is presented. Plasma density variations in the polar cap ionosphere are inferred using Total Electron Content (TEC) estimates from the Swarm satellites' GPS receivers. Together, the three papers that comprise this thesis demonstrate the need for a space weather forecast service (Paper 1) and show that it is possible to predict the worst disturbances on GNSS in the European Arctic region by laying the foundation for a space weather forecast method (Paper 2 and 3). Doctoral or Postdoctoral Thesis Arctic Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Arctic
institution Open Polar
collection Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
op_collection_id ftoslouniv
language English
description Space weather can have adverse effects on technology, such as causing disturbances of Global Navigation Satellite Systems (GNSS). As space weather effects on GNSS cannot be mitigated, it is of vital importance to develop a method for space weather forecasting. This thesis presents the motivation for developing a space weather forecast by evaluating the performance of a commercially available satellite-based positioning system over a period of three years. Next, an algorithm that can predict the worst disturbances of GNSS system is presented. The model is validated by comparing results from the prediction model to ground observations. Lastly, a method to monitor the polar ionosphere using only the Swarm satellites is presented. Plasma density variations in the polar cap ionosphere are inferred using Total Electron Content (TEC) estimates from the Swarm satellites' GPS receivers. Together, the three papers that comprise this thesis demonstrate the need for a space weather forecast service (Paper 1) and show that it is possible to predict the worst disturbances on GNSS in the European Arctic region by laying the foundation for a space weather forecast method (Paper 2 and 3).
format Doctoral or Postdoctoral Thesis
author Follestad, Anna Fæhn
spellingShingle Follestad, Anna Fæhn
Forecasting Space Weather Effects on GNSS Systems
author_facet Follestad, Anna Fæhn
author_sort Follestad, Anna Fæhn
title Forecasting Space Weather Effects on GNSS Systems
title_short Forecasting Space Weather Effects on GNSS Systems
title_full Forecasting Space Weather Effects on GNSS Systems
title_fullStr Forecasting Space Weather Effects on GNSS Systems
title_full_unstemmed Forecasting Space Weather Effects on GNSS Systems
title_sort forecasting space weather effects on gnss systems
publishDate 2020
url http://hdl.handle.net/10852/77941
http://urn.nb.no/URN:NBN:no-81049
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_relation Paper I: Fæhn Follestad, A., Clausen, L.B.N., Moen, J. I., Jacobsen K. S. ‘Space Weather Effects on an RTK Positioning System’. Submitted for publication in Space Weather. The paper is not available in DUO awaiting publishing.
Paper II: Fæhn Follestad, A., Clausen, L. B. N., Thomas, E. G., Jin, Y., Coster, A. (2019). ‘Polar Cap Patch Prediction in the Expanding Contracting Polar Cap Paradigm’. In: Space Weather, 17. DOI:10.1029/2019SW002276. The article is included in the thesis. Also available at: https://doi.org/10.1029/2019SW002276
Paper III: Fæhn Follestad, A., Clausen, L. B. N., Miloch, W. J., van den Ijssel, J., Haagmans, R. (2020). ‘Two-Dimensional Reconstruction of Ionospheric Plasma Density Using Swarm’. (Accepted 29 April 2020: draft version shown here) Space Weather, 18, e2019SW002406. doi:10.1029/2019SW002406. The article is included in the thesis. Also available at: https://doi.org/10.1029/2019SW002406
https://doi.org/10.1029/2019SW002276
https://doi.org/10.1029/2019SW002406
http://urn.nb.no/URN:NBN:no-81049
http://hdl.handle.net/10852/77941
URN:NBN:no-81049
Fulltext https://www.duo.uio.no/bitstream/handle/10852/77941/1/PhD-Follestad-2020.pdf
op_doi https://doi.org/10.1029/2019SW00227610.1029/2019SW002406
_version_ 1811635796688502784

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