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Dry spell 2004/6 The following information applies to the England SE & Central S district area and using a series back to 1914 (no further updates are planned) The following information applies to the England SE & Central S district area and using a series back to 1914 (no further updates

England E & NE 26.3 27.3 27.4 27.8 England NW & Wales N 26.2 26.9 26.8 27.2 Midlands 27.8 28.8 28.9 29.9 East Anglia 28.5 29.9 30.3 30.1 England SW & Wales S 26.4 26.9 26.9 28.9 England SE & Central S 28.2 29.3 29.7 30.9 © Crown copyright 2018, Met Office Page 13 of 40 Summer days © Crown copyright

:55~18:00 data criteria |Z DR | < 5.0 0.99 < ρ hv ≤ 1.0 10 < Z H ≤ 15 S(Z DR ) < 0.3 S(ρ hv ) < 0.01 S(*) : Median Absolute Deviation for data within 2km square around the target bin Data for individual regions are analyzed separately. Japan Meteorological Agency An upward spike of approximately 0.5

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

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

., 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

); [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