Machine learning workflows in climate modelling: design patterns and insights from case studies
{{output}}
Machine learning (ML) has been increasingly applied in climate modelling on system emulation acceleration, data-driven parameter inference, forecasting and knowledge discovery, addressing challenges such as physical consistency, multi-scale coupling, data spar... ...