Developing new understanding of the surface hydrological system of the Greenland and Antarctic ice sheets using machine learning.

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image of glacier

During his PhD he has processed over two hundred terabytes of optical satellite imagery – really testing the computing facilities here at Lancaster! DSI funded Diarmuid to join a team that developed a high-powered computing (HPC) cluster at the European Space Agency (ESA) Centre for Earth Observation in Italy, using his algorithms as a proof of concept for the system. Along with colleagues from Earthwave – a remote sensing and data science SME, he spent a week in the new ESA-ESRIN Earth System Science Hub based in Frascati, near Rome. Here they liaised with a team of cloud engineers from CloudFerro, who provide innovative cloud computing services, to design a HPC cluster specifically adapted to his workflow. Diarmuid’s algorithms are now running on the ESA facility - dramatically increasing the amount of computing power available for his research - and will be available to all those working on ESA funded projects in the near future.


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