During the last 70 years, solving physical equations on High Performance Computers has been the main workhorse of weather, climate and environmental research and prediction. It has been a fantastic ride, substantially improving our understanding and boosting our forecasting capabilities. However, Moore’s law is over, the energy cost of HPC is hardly affordable, and increasing the scalability of scientific numerical codes is extremely complex …
Have we reached the end of the road? If so, what is next?
The talk will present ongoing work at the Met Office to answer those questions from a scientific/technical point of view (scalable platforms for data science, machine learning, natural language processing) and an organisational point of view (innovation, communities of practices, multi-disciplinary approaches).
Bio: Professor Arribas is the Head of the Met Office Informatics Lab and an Associate Professor at the University of Exeter Institute for Data Science and AI. Alberto is also a Research Fellow at the Met Office and the Alan Turing Institute. The Informatics Lab was founded to address the challenges derived from the complexity of data and science in environmental research. The Informatics Lab is the “Innovation and Technology R&D” department for the Met Office, with the mission of solving strategic problems for the organisation through a multi-disciplinary team. Alberto is the author of over 50 peer reviewed publications, has developed world-leading prediction systems for weather and climate, served in expert committees for the USA Academy of Science and the World Meteorological Organisation, and won various awards. His areas of expertise include: Probabilistic forecasting for decision-making; R&D on emerging technologies; and strategic innovation
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