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evidenced manner; or  · the response addresses all elements of the Requirement very well and includes innovative and/or other good quality ideas that meet the Met Office ‘s Requirements and provides good evidence of where such ideas have been used effectively in the past and why they will work well

in wind speeds is modest compared to interannual variability for the PPE-15. • no trend in the wind speed over the UK for the mean of the CMIP5-13. Wind speed anomaly, m s ¡1 3 2 1 0 −1 −2 −3 DJF PPE-15 CMIP5-13 (subset) 1900 1925 1950 1975 2000 2025 2050 2075 2100 Date Figure 1 Global projections

a scale-dependent dynamic Smagorinsky model at near-grey-zone resolutions, Journal of Applied Meteorology and Climatology, volume 57, pages 2197-2214, DOI:10.1175/JAMC-D-17-0318.1. [PDF]  Gu J.F., R. S. Plant, C. E. Holloway, T. R. Jones, A. Stirling, P. A. Clark, S. J. Woolnough, and T. L. Webb

precipitation being considered as a liquid water equivalent (lwe) value. It includes the contribution from the model convection scheme if this is invoked (true for Global models but not the UK models) as well as that from the model precipitation scheme. m s-1 [YYYYMMDD]T[hhmm]Z-PT[nnnn]H[mm] M

placed in the appropriate box in the matrix: R = River S = Surface Water G = Groundwater C = Coastal/ Tidal Fig 5: Flood risk matrix displayed on selection of a local authority Fig 6: Mobile view of flood risk matrix on selection of a local authority 4 When a local authority coloured green is selected

and flows in the tachocline will be resolved in longitude for the first time. • The resolution will be about 0.1 R s , resolving azimuthal variations up to about wavenumber m=30. Earth L 5 L5 Workshop R. A. Howard (NRL) The processes and sources of the solar wind remain ambiguous • Status: – To constrain

in the appropriate box in the matrix: R = River S = Surface Water G = Groundwater C = Coastal/ Tidal Fig 5: Flood risk matrix displayed on selection of a local authority Fig 6: Mobile view of flood risk matrix on selection of a local authority 4 When a local authority coloured green is selected, you

to as InTEM (Inversion Technique for Emission Modelling). ©Crown Copyright 2010 3 1.1 Publications Derwent, R.G., Simmonds, P.G., O’Doherty, S., Grant, A., Yates, E.L., Manning, A.J., Utembe, S.R., Jenkin, M.E., Shallcross, D.E. ‘Seasonal cycles in short-lived hydrocarbons and halocarbons in baseline

, Bernie D, Bett PE, Bricheno L, 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

. Corazza M, P. Bergamaschi, A. T. Vermeulen, T. Aalto, L. Haszpra, F. Meinhardt, S. O'Doherty, R. Thompson, J. Moncrieff, E. Popa, M. Steinbacher, A. Jordan, E. Dlugokencky, C. Brühl, M. Krol, and F. Dentener, Inverse modelling of European N2O emissions: Assimilating observations from different