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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

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

Developing models and techniques to produce regional climate information for climate change impacts and adaptation assessments.

The primary tool used in this work is the regional climate model, a higher resolution limited area version of a global atmospheric model. It simulates high-resolution climate skilfully through its improved resolution of a regional physiography and atmospheric motions. Work is undertaken to assess

be higher than the day-time maximum. In either situation this makes a comparison with the daily records invalid. We do not quote highest/lowest maximum/minimum day-time and night-time records separately. The main reason is that manual climate stations only report daily 0900-0900 UTC maximum

Our climate impacts scientists

Dr Richard Betts Richard leads the climate impacts area, specialising in ecosystem-hydrology-climate interactions but also overseeing work on urban, health, industry and finance. Penny Boorman Penny is a climate scientist working on a framework to study uncertainties in dangerous climate impacts

The Climate Ambassador Scheme will link nurseries, schools and colleges across England with free access to local experts who can provide tailored advice and guidance to help them develop their own climate plans.

30,000 education settings across England. A key aim of the extended programme, as part of the Department for Education's Sustainability and Climate Change Strategy, is for all education settings to have a climate action plan and a sustainability lead in place by the end of 2025.  To support

As part of the UK Climate Resilience (UKCR) programme, the Met Office has compiled an approach for upscaling climate services. This page introduces climate services providers to this resource.

this means for climate services. We have reviewed existing upscaling literature and resources, and adapted themes and concepts from them to produce an upscaling approach for climate services. We have tested this in three case studies with different services and service providers. A toolkit, to aid

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.

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Met Office climate science webinars

In 2023 the Met Office ran a series of climate science webinars following on from a number of events ahead of COP27 in 2022.  Below you will find details of these past events including video recordings and written summaries. Details of upcoming events will be added below including registration