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in April and May as in a). 6 References M. J. Best, M. Pryor, D. B. Clark, G. G. Rooney, R .L. H. Essery, C. B. Ménard, J. M. Edwards, M. A. Hendry, A. Porson, N. Gedney, L. M. Mercado, S. Sitch, E. Blyth, O. Boucher, P. M. Cox, C. S. B. Grimmond, and R. J. Harding. The Joint UK Land Environment

, 2019b) • Further information and guidance is available at the UK Climate Projections website. www.metoffice.gov.uk Pg 5 of 6 Source: Met Office © Crown Copyright 2019 References Brown S, Boorman P and Murphy J (2010). Interpretation and use of future snow projections from the 11-member Met Office

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z A AC Altocumulus AD Aerodrome AGL Above ground level AIMMS Aircraft Integrated Meteorological Measurement System AMD Amend or amended AMSL Above mean sea level AOD Aerosol Optical Depth APR April AS Altostratus ASR Altimeter setting region ATD

Product user manual For Global Ocean level-1 data products from the Met Office Global Coupled Atmosphere-Land-Ocean-Ice system Contributors: J Roberts-Jones, M. Price, S. Moreton, R. King Date: December 2024 Ocean Products User Guide, Met Office Global Coupled Atmosphere-Land-Ocean-Ice system Date

) was the most severe tropical cyclone to ever make landfall in the Philippines (right - NASA satellite image on November 7 th 2013). Maximum wind speeds peaked at 88m/s (197mph) and a storm surge produced wave heights reaching 5-6m above normal in some regions of Leyte. Yolanda caused widespread

Office North-West European Shelf forecasting system. Ocean Sci.,15(4), https://doi.org/10.5194/os-15-1133-2019.   Graham, J. A., E. O’Dea, J. Holt, J. Polton, H.T. Hewitt, R. Furner, K. Guihou, A. Brereton, A. Arnold, S. Wakelin, J.M. Castillo Sanchez, C.G. Mayorga Adame (2018) AMM15: A new

- interaction region structure, leading shock - peak velocity, density, Alfvénicity of fast streams NOAA: warning when GOES electron fluxes at GEO exceed 10^3 e/(cm 2 s sr) Kilpua et al., GRL, 2015 Storm driver CME sheath CME ejecta + slow wind CME ejecta + fast wind interacKon region + faster

, L. M. Mercado, S. Sitch, E. Blyth, O. Boucher, P. M. Cox, C. S. B. Grimmond, and R. J. Harding. The Joint UK Land Environment Simulator (JULES), model description part 1: Energy and water fluxes. Geoscientific Model Development, 4(3):677–699, 2011. doi: 10.5194/gmd-4-677-2011. URL http://www.geosci

Offshore Technology Conference OTC-35733-MS A Spatiotemporal Machine Learning Framework for the Prediction of Metocean Conditions in the Gulf of Mexico: Application to Loop Current and Loop Current Eddy Forecasting E.C.C. Steele 1 , M.C.R. Juniper 1 , A.C. Pillai 2 , I.G.C. Ashton 2 , J. Chen 3 , S

, Brown S, Calvert D, Clark RT, Eagle KE, Edwards T, Fosser G, Fung F, Gohar L, Good P, Gregory J, Harris GR, Howard T, Kaye N, Kendon EJ, Krijnen J, Maisey P, McDonald RE, McInnes RN, McSweeney CF, Mitchell JFB, Murphy JM, Palmer M, Roberts C, Rostron JW, Sexton DMH, Thornton HE, Tinker J, Tucker S