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• Impacts of climate variability

  Description of research and applications of the impacts of climate variability on monthly to seasonal timescales.

  Predictions and climate model output often refer to large-scale phenomena (e.g. ENSO, NAO) or give information on large-area averages. The variables for which predictions are made are most often meteorological (e.g. temperature, rainfall). Users' needs are typically related to their economic

• 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

• Climate, cryosphere and oceans

  Improving our understanding of the role of the oceans and the cryosphere (ice) in the climate system.

  Changes in sea ice and land ice have important climate feedbacks, through albedo and ocean circulation. The melt of land ice results in sea level rise. Sea ice cover seasonally insulates the atmosphere from the ocean preventing the exchange of heat and gases. The formation of sea ice during winter

• Weather and climate news

  Meteorological Society awards recognise two outstanding Met Office staff members The Royal Meteorological Society has honoured those who have made outstanding contributions to weather and climate science, including two exceptional Met Office staff members. Read more Latest Warmest spring on record

• 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

• 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.

• 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

• 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

• mo-phenology-supplement-v4pdf

  when: “The colour of the new green leaves is just visible between the scales of the swollen or elongated bud” (https://www. woodlandtrust.org.uk/visiting-woods/natures-calendar/). Phenological records, when combined with climate observations, provide long-term indicators of how plants and animals

• mo-phenology-supplement-v4.pdf

  when: “The colour of the new green leaves is just visible between the scales of the swollen or elongated bud” (https://www. woodlandtrust.org.uk/visiting-woods/natures-calendar/). Phenological records, when combined with climate observations, provide long-term indicators of how plants and animals