Christina Kappatou

Christina Kappatou

 

PhD candidate

Research group | Meteorology
Main supervisor | Joe Lacasce
Co-supervisor | Hjorth-Jensen & Dijkstra
Affiliation | Department of Geosciences, UiO
Contact | christina.kappatou@geo.uio.no


Short bio

I studied Mechanical Engineering at the National Technical University of Athens. During the last two years of my studies, I specialized in Energy Engineering, getting familiar with every conventional and RES-based energy production system. I became deeply interested in wind energy production, writing my Master’s thesis on wind turbine noise propagation.  

Yet, upon graduating, I realized I needed an environmental-, not energy- oriented approach to climate change research. Looking for projects that involved a mathematical and numerical modelling of possible climate scenarios, I came across "Optimal Climate". Apart for providing the opportunity of intense research on climate change, like the Arctic Amplification, it is also a part of the CompSci programme, offering a deep insight into Machine Learning methods through 3-month long intensive courses. I got instantly engaged and applied for it and, well, here I am!

Research interests and hobbies

I’m interested in anything that involves using applied mathematics (the more analytical the better) for investigation of different aspects of climate change. Right now, I’m really focused on modeling Arctic Amplification, because I think it’s impressive how pronounced the temperature gradients are up North but after that…who knows?

As a person, I enjoy practicing Aikido, hiking and, obviously, spending time with my friends.

CompSci project

Iceberg

Variational methods for turbulent climatic flows

 

We will use diverse optimization techniques to study phenomena in the ocean and atmosphere which are relevant for climate. Topics include the structure of currents in the Southern Ocean and of heat transport in the atmosphere-ocean system. The focus will be primarily on theory and idealized numerical model simulations, but we will also employ data from state-of-the-art climate simulations.

 


Publications

CompSci publications

None yet.

Previous publications

None.

 


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Published Jan. 11, 2023 5:09 PM - Last modified Jan. 12, 2023 12:50 PM