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• AI in climate science

  Artificial intelligence (AI) and machine learning (ML) have demonstrated potential for their application in weather forecasting, the crossovers with climate science suggests that similar progress is possible in climate modelling.

  Climate models are numerical representations of the Earth system (including components such as the atmosphere, ocean and land) that are used to explore long-term changes to the underlying statistical distributions that govern day-to-day weather. Developments in climate models have typically come

• Seasonal and climate models

  Configurations of the Unified Model for seasonal, decadal and centennial climate predictions run at the Met Office.

  These are usually lower resolution than the models used for day to day weather forecasting, and include ocean and sea-ice components coupled to the atmosphere model in order to represent the full coupled climate system. Additional processes associated with atmospheric chemistry and the ecosystem

• Climate sensitivity and feedbacks

  Understanding and quantifying the most important feedback processes operating in the climate system.

  An important aspect of this work is to use both models and observations to try to establish links between physical processes operating in past, present and future climates. This involves the development and refinement of diagnostics and metrics for assessing model performance, and for isolating

• Place

  Weather and climate change

• The future of climate modelling

  Climate modelling at the Met Office

  As faster supercomputers with more processing power are developed, harnessing this power and speed for the benefit of improving climate projections is the dream of climate scientists. The reality is there will never be enough speed or capability to infinitely improve climate models in all aspects

• Understanding climate change

  Quantifying and reducing uncertainty in climate change, through understanding and improving the representation of key processes.

  This area of research involves the design, building, evaluation and improvement of climate models informed by knowledge of the mechanisms of past, present and future climates. The scientific focus is on gaining understanding and improving the representation of key processes that are critical for climate variability and change on global and regional scales. Related pages Climate change scientists  

• Weather and climate news

  Skip to main content Weather & climate Research programmes Services About us Careers Menu Search site Search Back Weather & climate Everything you need to know about the forecast, and making the most of the weather. Find a forecast Warnings & advice Warnings & advice UK weather warnings UK Storm

• Weather and climate consulting

  Find out about how we can help you manage the risks and realise the opportunities associated with day-to-day weather, extreme events and future climate conditions.

  The impact of extreme weather events are identified by global industry leaders as one of the most significant risks to their businesses (World Economic Forum – 2025 Global Risk Report). Our consultants work with you to understand how these weather and climate impacts affect your business

• Climate monitoring and attribution

  Developing observational data; monitoring and interpreting climate variations and change.

  Climate information and statistics, based on many types of surface, atmospheric and marine measurements, are produced on national to global scales. Climate models are used to attribute causes of past climate change that are seen within the observations. The datasets produced by our scientists are also used by other science areas. Scientific users throughout the world access the data and statistics via the HadObs website.

• The Climate Security team

  Providing advice on the impact of climate variability and change for security.

  Climate science has made huge progress in understanding the dynamics of climate variability and change over the last few decades, with climate models being a valuable tool for understanding the future climate. However, there remains a gap between the type of information climate projections provide