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• Upscaling Climate Services

  As part of the UK Climate Resilience (UKCR) programme, the Met Office has compiled an approach for upscaling climate services. This page introduces climate services providers to this resource.

  this means for climate services. We have reviewed existing upscaling literature and resources, and adapted themes and concepts from them to produce an upscaling approach for climate services. We have tested this in three case studies with different services and service providers. A toolkit, to aid

• 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

• Seasonal Climate Outlooks

  What is the Seasonal Climate Outlook? Following the El Nino event in 2015, the Met Office worked with the UK Government’s Foreign, Commonwealth and Development Office (FCDO) and the University of Reading to design a new service which would provide insights into the upcoming season and enable more

• Climate change scientists

  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

• Urban climate impacts

  Analysing climate change and its impacts in the urban environment.

  Urbanisation results in significant modification of local climates, the most apparent expression of this being the urban heat island. The global urban population now exceeds the rural population, and the urban population may exceed six billion by the 2050s. Therefore, society and our urban

• Airfield climate data

  This page displays airfield climate statistics for 48 UK airports including occurrences of Low Visibility Procedures, temperature, low cloud base, significant weather, visibility and wind.

  from 1990 to 2021 has been used to allow comparison to the most recent climatological reference period (Charting the UK;s changing climate - Met Office). Where this full period is not available, the maximum range is used using data from METARs recorded at each airfield. The number of observations

• 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

• state-of-the-uk-climate-2014-v3pdf

  by the Joint UK DECC/Defra Met Office Hadley Centre Climate Programme (GA01101). 4 Executive Summary Land temperature l 2014 was the warmest year on record for the UK, England, Wales and Scotland in a series from 1910, and for Central England in a series from 1659. l 8 of the 10 warmest years

• AI4 Climate: Harnessing artificial intelligence to transform climate science

  AI4 Climate explores and applies cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) techniques to advance climate science and deliver improved climate information more efficiently.

  AI4 Climate is funded by the UK Government’s Department for Science, Innovation and Technology (DSIT) through the International Science Partnerships Fund (ISPF) and sits within the Met Office’s AI for Prediction and Projection (AIPP) Programme.   The AIPP Programme demonstrates our commitment