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. at river catchment or on urban scales. Instantaneous screen level temperature (degrees Kelvin) in a 100 m simulation over London. The detailed signature of small-scale features in the land surface (e.g. valleys and the River Thames) are visible. 24 25 Future observations to support high resolution model

predictions provided by such models could be used for both realtime forecasting of weather hazards and for long term planning purposes, for example to help inform local air quality policy and regulation. Figure 16 - Instantaneous screen level temperature (degrees Kelvin) in a 100m simulation over London

, Canada and UK Aid, London, United Kingdom. Available online at: www.idrc.ca/cariaa Hegger, D., & Dieperink, C. (2014). Toward successful joint knowledge production for climate change adaptation: lessons from six regional projects in the Netherlands. Ecology and Society, 19(2). http://doi.org/10.5751/ES

JULY 2014 W A N G E T A L . 5265 TABLE 1. Twelve selected weather stations (UA denotes an upper air reporting station). No. Weather station Longitude Latitude Abbreviation 001 Windsor Airport 82896 0 W 42828 0 N WDA 002 London Int’l Airport 81815 0 W 43803 0 N LIA 003 Toronto Lester B. Pearson

157-197 Buckingham Palace Road Victoria London SW1W 9SP Date: 13 July 2018 Opinion on other matters In my opinion: • the parts of the Accountability Report to be audited have been properly prepared in accordance with HM Treasury directions made under the Government Trading Funds Act 1973

deliver our strategic goals around data sciences. Firstly, the Met Office Academic Partnership was expanded to include two new universities: University College London (UCL) and University of Bristol. UCL brings expertise in applying data science to environmental problems, while University of Bristol

are formed where additional action is required to improve performance. Our purpose To work at the forefront of weather and climate science for protection, prosperity and well-being. London England 12 ANNUAL REPORT PERFORMANCE REPORT Our purpose 4 priorities 18 objectives Tools Our purpose is at the heart

Lead authors All authors have contributed equally and are listed alphabetically: Suzanne Carter, SouthSouthNorth Anna Steynor, Climate System Analysis Group Katharine Vincent, Kulima Integrated Development Solutions Emma Visman, Centre for Ecology and Hydrology, King’s College London and VNG

Deterministic Local Area Model London Global Ensemble UK Ensemble Atmospheric – Extended range Met Office Global Seasonal Forecasting System – Monthly (with 3 rd party funding) Met Office Global Seasonal Forecasting System – Seasonal (with 3 rd party funding) Met Office Global Seasonal Forecasting System

. Sci. 19, 1665–1674. http://dx.doi.org/10.1016/j.pnsc.2009.08.001. Kendall, M.G., 1955. Rank Correlation Methods. Griffin, London. Mann, H.B., 1945. Nonparametric tests against trend. Econometrica 13, 245–259. Matthews, S.N., Iverson, L.R., Peters, M.P., Prasad, A.M., Subburayalu, S., 2014