Machine Learning-based weather models have the potential to revolutionise global seasonal forecasting, according to new Met Office-led research.
The peer-reviewed research, published in npj Climate and Atmospheric Science, assesses the viability of applying a machine learning (ML) weather model to global seasonal forecasts, which are vital for understanding global weather patterns.
Seasonal forecasts, which look at the likely conditions for the next three months, can provide valuable insights for long-term planning and decision making, including for agriculture, water resources and even public health.
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