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value forecast to airline operators. Performance measure: ≤ 2.85m/s for Wind and ≤ 0.56K for Temperature (based on 12-month mean values) Root Mean Square Vector Error 4.00 3.80 3.60 3.40 3.20 3.00 2.80 Northern Hemisphere T+24 Wind (m/s) at 250hPa Monthly Rolling 12-month mean Target Latest value

information for any warnings by omission of missing timesteps. The metadata header will only expose the timesteps that have been generated successfully, therefore if a timestep/s is missing then it should be concluded that they have failed to be generated for that time/s

for results at 250hPa (which equates to FL340), over the Northern Hemisphere (90N-20N). The graphs below display the accuracy of these two forecasts, with the smaller the error being a better value forecast to airline operators. Performance measure: ≤ 2.85m/s for Wind and ≤ 0.56K for Temperature (based

of 2018. Weather, 74: 390- 396. https://doi.org/10.1002/wea.3628 Murphy JM, Harris GR, Sexton DMH, Kendon EJ, Bett PE, Clark RT, Eagle KE, Fosser G, Fung F, Lowe JA, McDonald RE, McInnes RN, McSweeney CF, Mitchell JFB, Rostron JW, Thornton HE, Tucker S, Yamazaki K. (2019) UKCP18 Land Projections

-potential modeling showing the frequency of CMEs • More progress will be made in the next 5 years – Combining IPS & FR Next Steps - Technical • Define Detailed Instrument Requirements: FOVs, Cadence, Resolution, Range etc • Justifications for each of the instruments • Refine S/C Accommodation (Carrington

in this publication. Copyright © 2019, Weather and Climate Information Services for Africa and Future Climate for Africa. All rights reserved. Cover photos: J. Araujo (2017); A. Barnaud (2018); S. Mutuma (2013); D. Decremer (2019); E.Aduma (2014) Co-production in African weather and climate services Fund

From our beginnings in the middle 1800’s we have led the way in the science of meteorology and its application. We’ve been continually innovating and evolving, and we’ve grown and changed enormously. Find out more about our history, innovation and what motivates us. Our history Since our foundation

research cruise at 32°S in the Indian Ocean, where he gained 'hands on' experience of collecting ocean observations and deploying Argo floats. Since joining the Met Office in 2005, Matt's work has focused on understanding ocean heat content change using both observational analyses and climate model

desired product. Implementation outside the scope of UKCP18. References Borgomeo, E., Pflug, G., Hall, J.W, Hochrainer-Stigler, S. (2015). Assessing water resource system vulnerability to unprecedented hydrological drought using copulas to characterize drought duration and deficit, Water Resour

of the UK annual mean temperature anomaly for 2026, relative to a baseline period of 1901 – 1930, was 1.95°C, compared to 2022’s anomaly of 1.88°C. It is clear just from the time series in Figure 3 that this new annual record is not extreme in the current climate, and that considerably higher annual mean