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• met-office_climate-change-impacts-for-ukraine_report_12dec2021_ukrainianpdf

  . Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. (Cambridge University Press, 2012). 13. Sillmann, J., Kharin, V. V., Zhang, X., Zwiers, F. W. & Bronaugh, D. Climate

• met-office_climate-change-impacts-for-ukraine_report_12dec2021_ukrainian.pdf

  . Managing the Risks of Extreme Events and Disasters to Advance Climate Change Adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. (Cambridge University Press, 2012). 13. Sillmann, J., Kharin, V. V., Zhang, X., Zwiers, F. W. & Bronaugh, D. Climate

• Met Office 10-Day Trend: Heat to peak into next week

  in eastern England. Monday is expected to be the hottest day of this spell, with highs of 32-34°C possible in southeast England, including London and Cambridge. Scotland and Northern Ireland will also feel warmer than on Sunday as the warm air spreads further north. However, this heat will be short-lived

• excalibur-newsletter-june2021.pdf

  exascale computing power. • I/O & Storage - Met Office led, awarded to NCAS, University of Reading in collaboration with the University of Cambridge • Data Workflow - Met Office led, awarded to NCAS, University of Reading • I/O Infrastructure investigations, awarded to Met Office • Workflow Design

• HCVI_website_technical_report_v4.pdf

  . Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P.M. Midgley (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1535 pp, doi:10.1017/CBO9781107415324. Knapp, K. R., M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010: The International Best Track

• wiser0114_aspire_crops_report_0719.pdf

  , A. Nauels, Y. Xia, V. Bex, and P. Midgley, Eds., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, URL Availableathttp://www.climatechange2013.org/, accessed 2018-03-08. Davie, J., E. Pope, and C. Kent, 2019: D2.1: Relationships between large-scale modes of natural climate

• Regional climate change trends and uncertainty analysis using extreme indices: A case study of Hamilton, Canada

  of the Intergovernmental Panel on Climate Change. http://dx.doi.org/10.1016/j.renene.2009.11.012, Cambridge, UK. and New York, NY. Honti, M., Scheidegger, A., Stamm, C., 2014. The importance of hydrological uncertainty assessment methods in climate change impact studies. Hydrol. Earth Syst. Sci. 18, 3301

• ukcp_local_report_2023.pdf

  . Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1363–1512, doi: 10.1017/9781009157896.012. Fung, F (2018). How to Bias Correct, UKCP18 Guidance, Met Office. https

• data-science-framework-2022-2027pdf

  EnvSensors project — a collaboration between the Met Office, the Alan Turing Institute, STFC and the University of Cambridge 11 — applies existing Bayesian machine learning models to intelligent sensor placement (Kirkwood et al., 2022; Vaughan et al., 2022), and a project within the ‘Climate Science

• data-science-framework-2022-2027.pdf

  EnvSensors project — a collaboration between the Met Office, the Alan Turing Institute, STFC and the University of Cambridge 11 — applies existing Bayesian machine learning models to intelligent sensor placement (Kirkwood et al., 2022; Vaughan et al., 2022), and a project within the ‘Climate Science