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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

• rapidattributionsummary_may2024_v2.pdf

  attribution study using © Crown copyright 2024, Met Office Page 5 of 34 HadGEM3-A (Ciavarella et al., 2018) to assess the changing chance of observing the record high UK May and Spring (March-April-May) temperatures recorded in 2024. To facilitate a rapid study, the attribution study uses a single climate

• rapidattributionsummary_may2024_v2pdf

  attribution study using © Crown copyright 2024, Met Office Page 5 of 34 HadGEM3-A (Ciavarella et al., 2018) to assess the changing chance of observing the record high UK May and Spring (March-April-May) temperatures recorded in 2024. To facilitate a rapid study, the attribution study uses a single climate

• 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 National Capability AI (NCAI) Programme.  The NCAI Programme demonstrates our commitment to embedding AI

• paper3_implications_for_projections.pdf

  with the previous generation, although they simulate global patterns of climate and climate change with greater fidelity. Despite the recent pause in the global mean surface temperature rise, the upper ranges of TCR and ECS derived from extended observational records, and specifically including

• climate-risk-report-for-sea---v6-final.pdf

  in developed countries than for countries in the global south. Confidence in climate attribution analysis relies on high quality observational records, climate models’ abilities to simulate a particular type of event, and scientific understanding of how natural variability and climate change may influence

• wiser-mena-scoping-study-external-v2.pdf

  region, there is either a National Meteorological Service (NMS) or a National Meteorological and Hydrological Service (NHMS). NMS or NMHSs are responsible for observing the weather and keeping climate records, forecasting the weather at various timescales and for developing and delivering forecast

• state-of-the-uk-climate-2014-v3.pdf

  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

• climate-change-risks-and-vulnerabilities.pdf

  Case Study Climate Change Risks and Vulnerabilities Adapting to climate change at local and regional level can take a variety of different shapes and forms, with many activities possibly building on and engaging with activities, practices, networks, and stakeholders that authorities have already