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• 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

• 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

• Microsoft Word - CSA 24-29 version for external Met Office website_FINAL

  that provides weather and climate information to enable the general public and specialist users (i.e. academia) to research and understand the science and history of meteorology and ensures compliance with the Public Records Act 1958. The Met Office should ensure that the weather story is the same

• 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

• 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

• 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

• 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

• 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

• ukcp-climate-drifts-report.pdf

  Copyright 2020 Executive summary Background: UKCP Global (60 km) consisted of 28 realisations of climate variables for 1900-2100 as simulated by 28 coupled ocean-atmosphere climate models. The 28 realisations consisted of 15 variants of the HadGEM3-GC3.05 global climate model (GCM) developed at the Met