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HadGEM1: Met Office climate prediction model

. Banks, M. J. Roberts, A. J. McLaren, J. K. Ridley, C. A. Senior, K. D. Williams, A. Jones, G. J. Rickard, S. Cusack, W. J. Ingram, M. Crucifix, D. M. H. Sexton, M. M. Joshi, B-W. Dong, H. Spencer, R. S. R. Hill, J. M. Gregory, A.B. Keen, A. K. Pardaens, J. A. Lowe, A. Bodas-Salcedo, S. Stark, and Y

soc_supplement-002.pdf

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

metoffice_sipn_2015_aug.pdf

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

upscaling-toolkit-stage3_and_references.pdf

, 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

scipsa_gcm_verification_final.pdf

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

wiser_gesi-tor_july-2022.pdf

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

UK Climate Resilience Programme: Shared socioeconomic pathways (SSPs)

., 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-data-product-sheet.pdf

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

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