Kamilla Hauknes Sjursen
Field of work
I am a PhD student in the Computer Science PhD programme at HVL working in the intersection of computer science and glaciology. In my PhD project I develop mathematical models to investigate past and future glacier changes in Western Norway.
I build mass balance models that use climatic and topographical data to simulate changes in glacier mass and runoff. The modelling focuses on Jostedalsbreen, the largest ice cap in mainland Europe, which I am lucky to have at my doorstep. The results of the modelling are a contribution to the JOSTICE project, which aims to investigate the physical and societal impacts of climate change effects on Jostedalsbreen.
A focus of my PhD project is to investigate how Bayesian methods can be used to improve uncertainty estimates in glacier mass balance modelling. The uncertainty associated with the predictions of such models are an important part of the basis for evaluating the impacts of glacier melt on local tourism, hydropower production, agriculture and landscape planning.
In addition to working on my PhD project I teach hydrology, flood hazards and runoff management in the Master's programme in Climate Change Management and in the international semester programme Geohazards and Climate Change.
- PL4-303 Runoff Management
- GE487 Environmental Hydrology and Runoff Management
- GE477 Glaciers and Ecology
- Modelling mass balance and runoff from glaciers
- Statistical methods and optimization in glacier modelling
- Climate change effects on glaciers
Present changes of Jostedalsbreen, Norway-s largest ice cap
Changes of Jostedalsbreen Ice Cap LIA 1966-2020
New measurements of ice thickness on Jostedalsbreen ice cap reveal vulnerability to future fragmentation
Bayesian estimation of mass balance model parameters for glaciers along a continentality gradient: How informative are low vs. high temporal resolution mass balance observations?
Bayesiansk massebalansemodellering av norske breer