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Improving our understanding of the role of the oceans and the cryosphere (ice) in the climate system.
Key aims Improving ocean and ice modelling capability. Providing advice to government regarding climate mitigation. Understanding how the oceans, sea-ice and land-ice could be affected by climate change and how these changes could feed back onto the climate system.
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
Our climate change scientists
Dr Tim Andrews Tim is a climate scientist working on forcing, feedbacks and heat uptake in the climate system. Dr Alejandro Bodas-Salcedo Alejandro works on developing and assessing the Met Office Hadley Centre's climate models. Dr Rob Chadwick Rob looks at changes in the global water cycle related
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
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
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
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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
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
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.
Weather and climate related impacts are identified by global industry leaders as the most significant risks to their businesses (World Economic Forum – 2018 Global Risk Report). Our consultants work with you to understand how these weather and climate impacts affect your business or industry
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