William Harcourt

Research interests:

My research is highly interdisciplinary and covers subject areas in geographical sciences, computer sciences, physics and more! My research can be grouped into three main area:

Glaciology

– Glacier Dynamics: Processes influencing ice flow and its changes in a warming climate.
– Ice-Ocean Interactions: The process of iceberg calving and its contribution to mass loss across the Arctic.
– Arctic: I environments across the Arctic, particularly in Greenland and Svalbard, with a focus on glaciers and their interactions with the surrounding environment (terrestrial, marine, atmosphere)

Data Science/AI

– Digital Twins: Developing digital twins for chaotic environment systems such as glaciers (e.g. the Greenland Ice Sheet)
– Machine learning: Application of Artificial Intelligence (e.g. Machine Learning and Deep Learning) to study environmental systems (e.g. glaciers), often using remote sensing data.
– Observing Systems: Construction of inter-connected systems to observe environmental processes and document their changes over time.
– Data Science and Statistics: Development of data processing/analysis techniques for understanding environmental systems, error/uncertainty in environmental data.

Remote Sensing/Earth Observation (EO)

– Remote Sensing: Development of different sensors and techniques for mapping/monitoring environmental systems, particularly glaciers.
– Earth Observation: Harnessing large-scale satellite data for regional/global analysis of the Earth system.
– Database: Cataloguing available data for environmental research, particularly across the cryosphere.