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apply to the weather parameter ‘Runway state’: a. Dry = D b. Damp = Dp c. Wet = W d. Wet & raining = R e. Frosty = F f. Lying snow = S g. Icy = I h. Unknown = blank j) The weather parameters ‘Upper wind direction & Upper wind speed’ show data at 3000ft. Note: The weather parameters ‘Rain amount

proportion of people in your community can read and write? • What language(s) do people find easiest to read in? Questions related to people’s access to, understanding and use of climate information: • Currently how easy is it for you to access weather and climate information relevant to your

temperature alert system, and the European Centre for Medium Range Weather Forecasting (ECMWF) supercomputing capacity. Copyright The author/s of this report (including any appendices and/or schedules to this report) owns any copyright in it (the “copyright”) and s/he has given the Met Office

, R., Pichon, F., New, S. and Osborne, R. (2022) Climate risk report for the East Africa region: Supplementary Document: Appendices. Met Office, ODI, FCDO. Image location: Tanzania www.metoffice.gov.uk www.metoffice.gov.uk age 0 of 29 © Crown Copyright 2021, Met Office Source: © Crown Copyright 2022

. Figure HILL1-2: Confidence in the magnitude of changes in weather and sea level for the UK under the HILL-1 scenario. A: annual, W: winter, S: summer High-impact low-likelihood scenarios: scenario report 12 Table HILL1-1: HILL-1 enhanced warming scenario Largest average temperature increase ( o C

showers in from the North Sea. Examples include 12 January 1987 when persistent heavy showers resulted in over 35 cm of level snow either side of the Thames estuary and 52 cm at East Malling, Kent with travel disruption, and early March 2005 when dri s of up 30 cm occurred over the Downs in Kent

December 2022 - solar prominence eruptions 8 December 2022 We finish off our 2022 satellite image highlights with a view not (as usual) of the Earth, but rather of the Sun. The image above is created using data from GOES-16's Solar Ultraviolet Imager (SUVI), a sophisticated extreme ultraviolet (EUV

Forecasts for the north-east part of Brazil between 0° S to 10° S and east of 50° W for the February to May wet season.

., Henrys, P.A., Hemming, D., Bell, J.R., Botham, M.S., Burthe, S., Helaouet, P., Johns, D.G., Jones, I.D., Leech, D.I., Mackay, E.B., Massimino, D., Atkinson, S., Bacon, P.J., Brereton, T.M., Carvalho, L., Clutton-Brock, T.H., Duck, C., Edwards, M., Malcolm Elliot, J., Hall, S.J.G., Harrington, R

of tropical storm frequency using a multi-model ensemble. Quart. J. Roy. Meteor Soc., 132, 647–666. © Crown copyright 2009 - 10 – Vitart, F., M. R. Huddleston, M. Déqué, D. Peake, T. N. Palmer, T. N. Stockdale, M. K. Davey, S. Ineson, and A. Weisheimer (2007). Dynamically-based seasonal forecasts