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Climate sensitivity on the rise?

August 2018 - A new study suggests climate sensitivity may be larger and more uncertain than previously thought.

, because if the past warming trend is different to what we might expect in the future, then climate sensitivity, estimated from the observed historical record, may not apply to the future. A new study, led by Dr Timothy Andrews of the Met Office Hadley Centre, along with an international team

Seasonal and climate models

Configurations of the Unified Model for seasonal, decadal and centennial climate predictions run at the Met Office.

These are usually lower resolution than the models used for day to day weather forecasting, and include ocean and sea-ice components coupled to the atmosphere model in order to represent the full coupled climate system. Additional processes associated with atmospheric chemistry and the ecosystem

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

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

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

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

metoffice_climatechange_deeperdiscovery_interpreting-climate-models.pdf

Deeper discovery Interpreting climate models 1 2 3 If your group is new to climate change, introduce the concept. Explain that climate change is the long-term shift in average weather patterns across the world. Since the mid-1800s, humans have contributed to the release of carbon dioxide and other

Weather and climate news

Skip to main content Menu Weather & climate Research programmes Services About us Careers Met Office Search site Search x 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

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  

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