Research

My research is primarily in space weather modelling and forecasting. I use mathematical techniques (data assimilation schemes such as the ensemble Kalman filter and extreme value statistics) to provide nowcasting of the ionosphere/thermosphere and accurate and actionable forecasts.

Journal Papers

Elvidge, S., Godinez, H. C. & Angling, M. J. Improved Forecasting of Thermospheric Densities using Multi-Model Ensembles. Geosci. Model Dev. (2015).

Elvidge, S., Angling, M. J. & Nava, B. On the Use of Modified Taylor Diagrams to Compare Ionospheric Assimilation Models. Radio Sci. (2014). 

Assimilation Procedures for Updating Ionospheric Profiles below the F2 Peak. McNamara, L. F., M. J. Angling, S. Elvidge, S. V. Fridman, A. H. Hausman, L. J. Nickisch, and L.-A. McKinnell (2013),  Radio Sci.

Ph.D Thesis

Elvidge, S. On the use of multi-model ensemble techniques for ionospheric and thermospheric characterisation, Ph.D thesis, University of Birmingham (2014).

Conference Papers

Elvidge, S. & Angling, M. J. A Review of Statistical Techniques Used for Ionospheric Model Validation. in 1st URSI Atlantic Radio Science Conference (URSI AT-RASC) (2015). 

Elvidge, S. & Angling, M. J. Coordinated Ionospheric Model Testing. in European Space Weather Week 12 (2015).

Godinez, H. C., Elvidge, S. & Angling, M. J. Multi-Model Ensemble Assimilation for Reducing Model Errors in Forecasts. in U.S. National Congress on Computational Mechanics (2015).

Elvidge, S. & Angling, M. J. The use of Modified Taylor Diagrams for Comparing Geophysical Models. in European Space Weather Week 11 (2014).

Nava, B., Elvidge, S. & Angling, M. J. Assimilating Data into NeQuick. in 3rd TRANSMIT Workshop (2014).

Elvidge, S. & Angling, M. J. Comparative testing of empirical, data assimilation and physics-based ionospheric/thermospheric models. in URSI XXXI General Assembly and Scientific Symposium (URSI GASS) (2014).

Elvidge, S. & Angling, M. J. On the use of Modified Taylor diagrams to compare Ionospheric Assimilation Models. in URSI XXXI General Assembly and Scientific Symposium (URSI GASS) (2014).

Elvidge, S., H. Godinez, M. J. Angling, J. Koller. (December 2013), Reducing Errors in Atmospheric Density Modelling Using a Multi-Model Ensemble, Space weather: a dialogue between scientists and forecasters.

Elvidge, S., H. C. Godinez, M. J. Angling. (October 2013), Improved modelling of upper atmospheric densities using multi-model ensembles, 3rd IMA Mathematics in Defence Conference.

Elvidge, S. (October 2013), Space weather and its effects on the near-Earth environment, Federation of Astronomical Societies Convention 2013.

Elvidge, S., M. J. Angling (September 2013), Comparing bottom-side ionospheric profiles with modified Taylor diagrams, UK URSI Festival of Radio Science. (Abstract / Slides).

Elvidge, S., M. J. Angling, L. F. McNamara, S. V. Fridman, A. H. Hausman, L. J. Nickisch, and L.-A. McKinnell (June 2013), Testing bottom-side ionospheric profiles generated using assimilative models, Beacon Satellite Symposium.

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