- Ocean and climate modelling
- Inverse and adjoint modelling
- Data Assimilation
- Uncertainty Quantification
- High-Latitude and Polar Climate
I work with ocean models and adjoints to study sensitivity and uncertainties in the Nordic Seas and Arctic Ocean circulation.
Using the adjoint of an ocean general circulation model, I try to understand the local and remote processes that generate temperature anomalies in the Nordic Seas on different timescales and their potential contribution to decadal climate predictability.
I furthermore use techniques from uncertainty quantification in inverse problems to assess observation systems for the reconstruction of modern and past ocean states. In a modern context I quantify to what degree far-field observations constrain ocean diagnostics of interest, such as the subsurface temperature at Greenland’s outlet glaciers.
Furthermore, under the umbrella of the ice2ice project I explore the capability of the globally available proxy surface ocean data to constrain ocean circulation of the past, taking into account its sparsity and uncertainties.
- 2019. Observing System Evaluation Based on Ocean Data Assimilation and Prediction Systems: On-Going Challenges and a Future Vision for Designing and Supporting Ocean Observational Networks. Frontiers in Marine Science. doi: 10.3389/fmars.2019.00417
I am a PhD research fellow at the Department for Earth Science, University of Bergen and the Bjerknes Centre for Climate Research. I am interested in ocean dynamics, high-latitude/polar climate and ice-ocean interactions. I use ocean and adjoint modelling as well as tools from uncertainty quantification to study sensitivities and uncertainties of ocean circulation.
Holding a Master's degree in mathematics, I like research topics where I can combine my expertise in math with climate modelling.