CORDIS Project
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This project seeks to enhance regional weather forecasting by improving the coupling between high-resolution local models and coarser global models using deep learning techniques. It aims to accurately recover fine-scale atmospheric features.
As the climate crisis progresses, and we see an increase in extreme temperatures, the importance of accuracy in regional weather forecasting significantly increases.
These regional models, or limited area models (LAMs), run at the highest feasible resolution to well resolve fine grain features in the model.
Due to the global nature of the atmosphere, LAMs are coupled to a global forecast model, which due to the larger size must run at a coarser resolution and does not see the fine grain structur…
NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU
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United Kingdom, Exeter
Type: Public body
Activity type: Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
SME: No
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