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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

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

. 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

. 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

, 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

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

the Aberdeen Maggie’s cancer charity for five years. He holds an MA in Natural Sciences from Cambridge University and a PhD from London University and was awarded a CBE for his services to the Energy Sector. Andy lives on a North Devon coastal farm, where he and his wife are enhancing

. 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

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

2023, Met Office Page 45 of 61 OFFICIAL 7. References [1] H. O. Portner, D. C. Roberts, C. Masson-Delmotte, M. Zhai, E. Tignor, and E. Al., “Summary for Policymakers,” in The Ocean and Cryosphere in a Changing Climate, Cambridge University Press, 2022, pp. 3–36. doi: 10.1017/9781009157964.001. [2] C