Classes
- Geomagnetism and GeoelectricityNGEO080 | Faculty of Mathematics and Physics
- Geomagnetism and Geoelectricity for Ph.D. StudentsNDGF014 | Faculty of Mathematics and Physics
- Electromagnetic induction and conductivity of the EarthNGEO061 | Faculty of Mathematics and Physics
- Inverse Problems and Modelling in PhysicsNGEO076 | Faculty of Mathematics and Physics
- Inverse Problems and Modelling in GeophysicsNGEO081 | Faculty of Mathematics and Physics
- Selected chapters on geodynamo theoryNGEO100 | Faculty of Mathematics and Physics
Publications
- An electric circuit model of the Earth's polar electrojets and field-aligned currents for the estimation of magnetospheric magnetic field from along-track Swarm magnetic data2022 | Faculty of Mathematics and Physics
- The Swarm Satellite Constellation Application and Research Facility (SCARF) and Swarm data products2013 | Faculty of Mathematics and Physics
- Inversion of the satellite observations of the tidally induced magnetic field in terms of 3-D upper-mantle electrical conductivity: method and synthetic tests2022 | Faculty of Mathematics and Physics
- A new integrated geophysical-petrological global 3-D model of upper-mantle electrical conductivity validated by the Swarm M-2 tidal magnetic field2021 | Faculty of Mathematics and Physics
- Lateral variations of electrical conductivity in the lower mantle constrained by Swarm and CryoSat-2 missions2021 | Faculty of Mathematics and Physics
- Can seafloor voltage cables be used to study large-scale circulation? An investigation in the Pacific Ocean2021 | Faculty of Mathematics and Physics
- The global toroidal magnetic field generated in the Earth's oceans2019 | Faculty of Mathematics and Physics
- Modelling of electromagnetic signatures of global ocean circulation: physical approximations and numerical issues2019 | Faculty of Mathematics and Physics
- A two-step along-track spectral analysis for estimating the magnetic signals of magnetospheric ring current from Swarm data2018 | Faculty of Mathematics and Physics
- On the modelling of M-2 tidal magnetic signatures: effects of physical approximations and numerical resolution2018 | Faculty of Mathematics and Physics
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