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.
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.
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., 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., 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.