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expect model bias to deflate the probability of ice. 5 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

, as part of the principles of scaling. © Crown copyright, Met Office References and resources used throughout the approach Introduction [1] Findlater, K., Webber, S., Kandlikar, M. et al. ‘Climate services promise better decisions but mainly focus on better data’. Nat. Clim. Chang. 11, 731–737 (2021

Graham - Science Manager, Met Office Tamara Janes – Science Manager, Met Office Dr Richard Levine – Senior Scientist, Met Office Dr Sreejith Op – Regional Climate Centre Pune, India Meteorology Department Dr D. S. Pai – Regional Climate Centre Pune, India Meteorology Department Dr Govindarajalu

to appoint a consultant(s) with the necessary international development and GESI experience to ensure recommendations and learnings are taken forward. This will include a review of the work undertaken to date to recommend and implement the next steps to ensure that all aspects of programme design aim

); [email protected]; [email protected] 2 Universidade Federal Rural do Semi-Árido/Departamento de Ciências Ambientais e Tecnológicas, Mossoró/RN, [email protected]; [email protected]; [email protected] Key words: temperature relative humidity evapotranspiration A B S T R A C

, the type of WCS under examination will also 4 Table 1: Steps to be considered before, during and after evaluation Pre-evaluation Identify aim and scope of evaluation Identify the method(s) Identify resources for conducting the evaluation What is the WCS that will be evaluated? Is this a new or existing

., Harmáčková, Z.V., Harrison, P.A.,  Mercure, J-F., Pedde, S., Seo, B., Simsek, Y., Stenning, J., Rounsevell, M., 2023. Creating quantitative scenario projections for the UK shared socioeconomic pathways. Climate Risk Management, Volume 40, 100506. Merkle, M., Alexander, P., Brown, C., Seo, B., Harrison, P.A

Global-Ocean Science configuration referred to as FOAM-GO and CPL-NWP Global ocean analysis and 7-day forecast, coupled to global atmosphere model Technical product details Source Numerical models Spatial extent Global ocean Lat 89.75°N to 83°S. Lon 0° to 360° Grid resolution Regular grid, 0.25° x

. October and November 2002: rainfall actual October and November 2002: rainfall anomaly Rainfall - October and November 2002 Region Actual (mm)Anomaly (%) UK 304.6 137 England 256.3 163 Wales 438.5 151 Scotland 338.8 108 N Ireland 353.3 160 England & Wales 281.3 161 England N 253.8 141 England S 257.6

of the major Kyoto gases (CO 2 , CH 4 , and N 2 O) and to run atmospheric observation sites at any proposed additional site/s across the UK. 4. To make high-quality real time measurements of the major Kyoto gases at any additional observation site(s), consistent with the requirements set out above. 5