Search results (237)

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• buontempo_2014_ensemble_africapdf

  A, Knutti R, Murphy JM, Noda A, Raper SCB, Watterson IG, Weaver AJ, Zhao ZC (2007b) Global climate projections. In: Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, chap 10. Cambridge

• 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_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

• 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

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

  30°C 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

• 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