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Climate Risk Reports

Climate Risk Reports

Human activities have unequivocally caused global warming, and this is affecting weather and climate extremes in every region of the world, disproportionately affecting the most vulnerable (IPCC AR6 SYR A1, A2). Action to adapt and prevent climate change cannot wait. Improved understanding

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

State of the UK Climate

Annual publication which provides an up-to-date assessment of the UK climate

- published 25 July 2024  Highlights of the 2023 report The UK’s climate continues to change. Recent decades have been warmer, wetter and sunnier than the 20th Century.  2023 was the second warmest year on record for the UK in the series from 1884, with only 2022 warmer. Six years in the most recent

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

Weather and climate news

Weather and climate news Topic Climate change Climate science Corporate news Severe weather Weather news Weather review Year 2025 2024 2023 2022 2021 2020 2019 2018 2017 Latest England’s warmest June on record and the UK’s second warmest since 1884 England has had its warmest June on record, while the UK

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  

Climate projection science

There are six sets of climate data that comprise the projections. These are described in more detail below covering what has been generated, how it has been done and how it might be useful to your applications.

climate model used in UKCP09 and benefit from a range of model improvements.. Marine Projections UKCP18 provides new projections of time mean sea-level rise and extreme water levels for the UK coastline. Observations UKCP18 includes a comprehensive set of observations of weather and climate covering the UK, with some the records extending back more than 150 years. Examining observations enables us to place the model simulated climate into context.

Linking hunger and climate

The Hunger and Climate Vulnerability Index aims to paint a regional picture of how much climate change may affect life across the planet

Experts from the World Food Programme (WFP) have worked closely with our climate scientists to devise a measurement of vulnerability to climate change. Taking its definition from the Intergovernmental Panel on Climate Change (IPCC), 'vulnerability' describes the relative degrees of climate stress

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

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