B.Sc.     Mathematics             University of Bristol

D.Phil. Numerical Analysis  University of Oxford

• Joined BAS in 2000 with a background in mathematical modelling and computer simulations.
• Wrote PADIE code (Glauert & Horne, 2005) to calculate the diffusion due to wave-particle interactions in a plasma of arbitrary density.
• Developed the BAS Radiation Belt Model (Glauert et al., 2014)
• Work package manager for the EU-FP7 projects SPACECAST and SPACESTORM
• Developed a forecasting model for the radiation belts for ESA (SaRIF website)
• Work package leader for the Rad-Sat project
• Published the first long-term, 3-d simulation of the electron radiation belts (Glauert et al., 2018)

Research interests

• Radiations belts, primarily at Earth but also at the outer planets.
• The development of radiation belt models and their use in space weather forecasting.
• The role of wave-particle interactions in the radiation belts; in particular their contribution to loss and acceleration of electrons.

• Glauert, S., & Ross, J. (2024). Pitch angle distributions, loss timescales and diffusion coefficients for the Earth’s radiation belts (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/6d20ed7b-59e1-4284-a6f2-3e2589da6d2a

• Lam, P., Horne, R., Meredith, N., Glauert, S., & Kirsch, P. (2024). Charging Currents and Electric Fields of Satellite Cables during a reasonable worst case scenario (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/3948ce45-3430-468d-8e99-22d4d6c0a8c5

• Daggitt, T., Horne, R., Glauert, S., & Del Zanna, G. (2024). BAS-RBM simulations of ultra-relativistic electron acceleration in Earth’s radiation belts using a coupled plasma density model (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/ea37228a-5b4d-4db2-8d97-53fff2c43f3f

• Reidy, J., Ross, J., & Wong, J. (2023). Pitch angle diffusion coefficients used in comparison of quasi-linear diffusion theory with in-situ measurements (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/5ef0d6cd-67c2-48fc-8a6a-dfe44a63979e

• Wong, J. (2023). New Chorus Diffusion Coefficients for Radiation Belt Modelling (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/fa63faf5-10d6-4c72-8b19-d41941f06812

• Daggitt, T., Horne, R., Glauert, S., Del Zanna, G., & Albert, J. (2023). Evidence of strong diffusion of radiation belt electrons in satellite data, and numerical simulations of strong diffusion using the BAS-RBM 2D. (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/c7db6003-1f72-4e69-b0b4-ec4b0aa4763c

• Daggitt, T. (2022). TS05 and TS07 external magnetic field model L*, LCDS and B field data for the GOES-13, GOES-15 and HIMAWARI-8 satellites for three geomagnetic storm periods (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/346ce427-6663-45e6-b706-285bb79e41ce

• Wong, J. (2022). Electron Diffusion by Magnetosonic Waves in the Earth’s Radiation Belts (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/aae6ea2f-7dab-4ab1-830f-a4c53589e340

• Ross, J. (2022). Electromagnetic ion cyclotron electron diffusion coefficients calculated using Van Allen Probe EMFISIS data for a range of ion compositions (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/2ba39ec4-c89e-4091-bdf9-e40491ec92a5

• Woodfield, E., Glauert, S., Menietti, J., Horne, R., Kavanagh, A., & Shprits, Y. (2022). Acceleration of electrons by whistler-mode hiss waves at Saturn (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/c6202511-d70b-45ae-9b72-ff30f4888f5f

• Glauert, S., Heynderickx, D., Kirsch, P., & Horne, R. (2021). The Satellite Risk Prediction and Radiation Forecast System (SaRIF) (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/bebfd99e-f2e3-46f0-9833-f59efb40be37

• Lozinski, A., Horne, R., Glauert, S., Del Zanna, G., & Claudepierre, S. (2021). Solutions to BAS-PRO model runs for Modelling 1-10MeV Proton Phase Space Density (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/27a89a5f-ca5d-471a-a0e7-060d0911b2d1

• Glauert, S. (2021). Evaluation of SaRIF high-energy electron reconstructions and forecasts (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/9c31bc7a-6f16-4d37-8df0-2717f26c718a

• Ross, J., & Glauert, S. (2021). Electron Electromagnetic Ion Cyclotron diffusion coefficients calculated from Van Allen Probe observations (Version 1.0) [Data set]. NERC EDS UK Polar Data Centre. https://doi.org/10.5285/cc48c65d-5395-45a1-a60a-3a4b987fd673

• Reidy, J. (2020). Pitch angle diffusion coefficients used to calculate electron precipitation from the Earth’s radiation belts (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/1ccb7d38-48d8-4206-be34-b218fa763b5a

• Ross, J., & Meredith, N. (2020). Electromagnetic ion cyclotron electron diffusion coefficients calculated from CRRES data using a new approach (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/be8af49f-cdf1-443a-9c78-6a59c9d5be68

• Woodfield, E., Glauert, S., Menietti, J., Averkamp, T., Horne, R., & Shprits, Y. (2019). Rapid electron acceleration in low density regions of Saturn’s radiation belt by whistler mode chorus waves (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/ae5116a5-fc16-464c-9c26-e395f897a8e4

• Ross, J., Meredith, N., Glauert, S., Horne, R., & Clilverd, M. (2019). Effects of VLF transmitter waves on the inner belt and slot region (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/93ff55bf-7415-44c8-8e3d-7e2f5c5ffd6d

• Glauert, S., & Meredith, N. (2018). Data from the figures in ‘A 30 year simulation of the outer electron radiation belt’ S.A. Glauert et al., 2018 (Version 1.0) [Data set]. Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/a8c58ad1-6cb6-42a8-8020-2f5c5e4c658f

1. Electromagnetic wave effects on radiation belts

   PADIE (Pitch-Angle Diffusion of Ions and Electrons) is a computational model developed at BAS that calculates how electromagnetic waves affect charged particles in radiation belts.

   Read more of: Electromagnetic wave effects on radiation belts

   

2. BAS-RBM

   BAS-RBM simulates changes in the high-energy electrons trapped around Earth to help protect satellites, improve forecasting of space weather, and understand radiation belts at Jupiter and Saturn.

   Read more of: BAS-RBM

   

3. Space Weather Service Network (SWESNET)

   SWESNET from British Antarctic Survey provides a forecast of high energy electrons in the Earth’s radiation belts which can cause damage to satellites on orbit. These forecasts are used by satellite operators to take mitigating action.

   Read more of: Space Weather Service Network (SWESNET)

   

4. Radiation Belt Data Assimilation (Radbelt-DA)

   RADBELT-DA applies data assimilation techniques to improve radiation belt forecasts to protect satellites from space weather damage and service disruption.

   Read more of: Radiation Belt Data Assimilation (Radbelt-DA)

   

5. Simulating how space weather events threaten satellites

   In the SORBS project we are studying how changes in the outer boundary of the geomagnetic field lead to rapid changes in the radiation belts closer to Earth.

   Read more of: Simulating how space weather events threaten satellites

   

6. Sat Risk

   The Sat-Risk project, led by the British Antarctic Survey (BAS), has the goal of ‘developing a real-time system to forecast radiation exposure to satellites for a range of different orbits, and quantify the risk of damage or degradation‘.

   Read more of: Sat Risk

   

7. Extreme Space Weather

   Concern at government level in the UK is such that severe space weather was added to the UK’s National Risk Register of Civil Emergencies.

   Read more of: Extreme Space Weather

   

8. Rad-Sat

   Rad-Sat is a NERC Highlight Topic that brings together a consortium of scientists from 5 different UK research groups, stakeholders from the space industry and a network of international collaborators.

   Read more of: Rad-Sat

   

9. Electron Acceleration in the Radiation Belts of Earth, Jupiter & Saturn

   This project explored the radiation belts of the Earth, Jupiter and Saturn to help set new research goals for future spacecraft missions to the planets and develop computer models that will be of direct use to the space insurance, satellite construction and satellite service industries.

   Read more of: Electron Acceleration in the Radiation Belts of Earth, Jupiter & Saturn

   

10. SPACESTORM

    SPACESTORM is a collaborative project to model space weather events and find ways to mitigate their effects on satellites.

    Read more of: SPACESTORM

    

12. PlanetBelt3

    PlanetBelt3 will be looking at the radiation belts of Saturn in this project, to include important newly recognised transport processes.

    Read more of: PlanetBelt3

    

SaRIF (for ESA)

1. A new way to create Saturn’s radiation belts

   A team of international scientists from BAS, University of Iowa and GFZ German Research Centre for Geosciences has discovered a new method to explain how radiation belts are formed around […]

   Read more of: A new way to create Saturn’s radiation belts

   

2. Satellites more at risk from fast solar wind than a major space storm

   Satellites are more likely to be at risk from high-speed solar wind than a major geomagnetic storm according to a new UK-US study published this week in the Journal Space […]

   Read more of: Satellites more at risk from fast solar wind than a major space storm