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• Regional climate modelling

  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

• 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

• Place

  Weather and climate change

• 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

• 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 change and health

  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

• 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

• 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  

• 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 hackathon PRINT

  Climate Data Challenge hackathon series During the first half of 2021 the Met Office and Met Office Academic Partnership (MOAP) universities led a series of virtual hackathon events with the aim of using a variety of skill sets and data products to tackle challenges related to climate change