{"ob_id":32007,"uuid":"890eae5f266a491b9e0924a81ea8eedc","title":"Machine learning of coarse-grained convection-permitting numerical weather prediction model thermodynamic tendencies","abstract":"A project carried out at the Met Office as part of ongoing model-development research. The purpose was to carry out a feasibility study to see whether kilometre-scale convection-permitting model data could be coarse-grained and then used for training a deep neural network to emulate the evolution of the thermodynamic profiles.","keywords":"","status":"","publicationState":"published","identifier_set":[],"observationCollection":[],"parentProject":null,"subProject":[],"responsiblepartyinfo_set":["https://catalogue.ceda.ac.uk/api/v2/rpis/141734/?format=json","https://catalogue.ceda.ac.uk/api/v2/rpis/141735/?format=json","https://catalogue.ceda.ac.uk/api/v2/rpis/141736/?format=json","https://catalogue.ceda.ac.uk/api/v2/rpis/141737/?format=json","https://catalogue.ceda.ac.uk/api/v2/rpis/168954/?format=json"]}