Owain Harris
Identifying Dry Intrusion Outflows in Present and Future Climates using Neural Networks
Background
Originally from an astrophysics background, I graduated with an MPhys in Physics from the University of Exeter in 2021. Now, I am interested in applying machine learning methods across weather and climate science with a particular focus on extreme weather and disaster risk reduction.
PhD
Identifying Dry Intrusion Outflows in Present and Future Climates using Neural NetworksAt the intersection of climate science and machine learning, my research applies image segmentation concepts to study high impact weather in the mid-latitudes. Dry intrusions are an important feature of extratropical cyclone dynamics, and they have been linked to various types of extreme surface weather. Using convolutional neural networks to classify them from atmospheric reanalysis and climate model data, this research is the first study into the impact of climate change on future dry intrusion activity.
In Simple Terms...
I use convolutional neural networks to identify and classify dry intrusions in climate data, studying how climate change will affect extreme weather patterns.
Supervisors
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Lead Supervisor
Professor Jennifer Catto
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Co-Supervisor
Dr Stefan Siegert
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Co-Supervisor
Dr Eleanor Hadley Kershaw