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, distilling a basket of annual performance measures aligned with longer-term strategic objectives. • The Board reviewed the Corporate Risk Report and approved the annual update to the Met Office’s Risk Appetite. • Simon Brown (Director of Services) presented the interim Health and Safety (H&S) Report

• experiments to run scientifically sensibly OR fail early • repeatability ACCESS family of models and configurations ACCESS-C, ACCESS-R, ACCESS-S, HadGEM ACCESS-CM2 +CABLE +MOM+CICE ACCESS-ESM1.5 ACCESS-ESM1.6 Opportunities – the why? Testing of CICE5 in ESM1.6 Assessment of CMT choice in ESM1.5 ahead

below). Synoptic situation at 0000 UTC on 29 October 2008 A number of stations across the climate district of SE & Central S England reported a day of snow on 28/29 October 2008, including Reading University, Whiteknights (Berkshire), Hampstead (Greater London) and Odiham (Hampshire). The last

form natural targets to explore for decadal predictability, given they have been diagnosed as related to SST in the literature. Supported by: Fund Manager: References (the subset included in the text) Barnston, A. G., Li, S., Mason, S. J., DeWitt, D. G., Goddard, L., & Gong, X. (2010). Verification

., Kay, S., Ciabatta, St., 2024. Partitioning climate uncertainty in ecological projections: Pacific oysters in a hotter Europe, Ecological Informatics, 80, https://doi.org/10.1016/j.ecoinf.2024.102537 2 Herbert, R.J.H.., Humphreys, J., Davies, C.J., Roberts, C., Fletcher, S., Crowe, T.P., 2016

Brazil Region (SNEBR) which covers 43.125˚W- 35.625˚W, 3.75˚S-8.75˚S and is marked by the blue rectangle in Figure 1. Quintile category forecasts have been issued for this (or a very similar) region since 1987. Forecast probabilities for quintile categories of mean rainfall for the SNEBR region

, 1433-1450. doi.org/10.1002/ Lowe, J.A., Bernie, D., Bett, P.E., Bricheno, L., Brown, S., Calvert, D., Clark, R.T., Eagle, K.E., Edwards, T., Fosser, G., Fung, F., Gohar, L., Good, P., Gregory, J., Harris, G.R., Howard, T., Kaye, N., Kendon, E.J., Krijnen, J., Maisey, P., McDonald, R.E., McInnes

is. This is a combination of the dimension(s) of the upscaling task (horizontal, vertical, functional), and the ambition (what, where, when, how much, for whom, by whom, why?). This sets out what the ‘upscaling strategy’ (to be developed in Stage 3) aims to achieve. Dimension Ambition Vision Step 1.2

? on UKCP18 website See Key results on UKCP18 website Select strand(s) of land projections based on task Task Probabilistic Global (60km) Regional (12km) Local (2.2km) Derived Assess broadest range of future outcomes from UKCP18 Stress-test results UK-Focus Compare UKCP09 with UKCP18 Scenario

. High Performance Computing resources were provided by NIWA in collaboration with the New Zealand e-Science Infrastructure (NeSI). We thank the Momentum Partnership and NIWA for travel support to attend the Global Seamless Modelling Workshop. References • Rampal, N., Gibson, P.B., Sood, A., Stuart, S