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  • Impacts of climate variability

    Description of research and applications of the impacts of climate variability on monthly to seasonal timescales.

    Predictions and climate model output often refer to large-scale phenomena (e.g. ENSO, NAO) or give information on large-area averages. The variables for which predictions are made are most often meteorological (e.g. temperature, rainfall). Users' needs are typically related to their economic

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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

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

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