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  • 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  

  • 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

  • Place

    Weather and climate change

  • 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 Business, Innovation, Science and Trade (BIST) 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

  • upscaling-toolkit-introduction_and_stage1pdf

    • Institutionalisation address them • The innovation is tested and improved in collaboration with stakeholder groups requested climate service of the new normal is lobbied for, making it part of legal or climate services frameworks, for example Record any notes related to these additional

  • 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

  • arrcc_carissa_ws4_observational_datasets-v2.pdf

    ). PERSIANN-CDR: Daily Precipitation Climate Data Record from Multisatellite Observations for Hydrological and Climate Studies. Bulletin of the American Meteorological Society, 96(1), 69–83. https://doi.org/10.1175/BAMS-D-13-00068.1 Bai, L., Shi, C., Li, L., Yang, Y., & Wu, J. (2018). Accuracy

  • mo-phenology-supplement-v4pdf

    when: “The colour of the new green leaves is just visible between the scales of the swollen or elongated bud” (https://www. woodlandtrust.org.uk/visiting-woods/natures-calendar/). Phenological records, when combined with climate observations, provide long-term indicators of how plants and animals

  • pioneers_scott-bae-1910_1913_2023.pdf

    . In addition to the main site, three outlying screens were erected to help record the micro-climate of the area during the Antarctic winter. Further to these base observations, still more were made on the ‘‘sledging’’ journeys away from base to either explore specific geographic areas or when in depots

  • pioneers_scott-bae-1910_1913_2023pdf

    . In addition to the main site, three outlying screens were erected to help record the micro-climate of the area during the Antarctic winter. Further to these base observations, still more were made on the ‘‘sledging’’ journeys away from base to either explore specific geographic areas or when in depots

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