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