Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI
Matthew Chantry, Hannah M. Christensen, Peter Dueben, T. N. Palmer
2021Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences178 citationsDOIOpen Access PDF
Abstract
In September 2019, a workshop was held to highlight the growing area of applying machine learning techniques to improve weather and climate prediction. In this introductory piece, we outline the motivations, opportunities and challenges ahead in this exciting avenue of research. This article is part of the theme issue 'Machine learning for weather and climate modelling'.
Topics & Concepts
Computer scienceArtificial intelligenceMachine learningData scienceMeteorologyGeographyMeteorological Phenomena and SimulationsHydrological Forecasting Using AIEnergy Load and Power Forecasting