Search results (2,760)

© The Author(s) 2014. This article is published with open access at Springerlink.com Abstract The Met Office Hadley Centre’s PRECIS regional climate modelling system has been used to generate a five member ensemble of climate projections for Africa over the 50 km resolution Coordinated Regional climate

influencing methane profiles in the free troposphere many days and 100’s of km away from the intrusion (b) orographic and other processes associated with complex flow not captured in the transport model (c) errors or biases in the background field and (d) transient emissions not captured in the estimated

citation: Holmes, S., Burgin, L., Salmon, K., Burgan, S., Oakes, R., Weeks, OFFICIAL-SENSITIVE J. (2023). Guidance for Understanding Climate-Related Risks to Development in Maritime Environments. Met Office, UK. www.metoffice.gov.uk Page 1 of 61 www.metoffice.gov.uk © Crown Copyright 2021, Met

conventions. A-Z of storm names for 2020-21  A: Aiden  B: Bella C: Christoph D: Darcy E: Evert (Eh-vert) F: Fleur G: Gavin H: Heulwen (Hail-wen) I: Iain J: Julia K: Klaas (Klaa-s) L: Lilah (Ly-la) M: Minne (Minn-eh) N: Naia (N-eye-a) O: Oscar P: Phoebe R: Ravi S: Saidhbhin (Sigh-veen) T: Tobias V

new risks over implementation delivery and benefits realisation would be assessed. A health and safety risk have been added to the register. • Simon Brown (Services Director) presented the annual Health and Safety (H&S) report. He discussed the external report on H&S governance and the plans

+0.7 ns England NW and Wales N -1.2 83 3.6 359 +0.6 121 Midlands -1.3 ns 3.6 206 +0.9 114 East Anglia -1.3 ns 4.0 149 +0.8 ns England SW and Wales S -1.1 ns 4.6 368 +0.8 117 England SE and Central S -1.2 ns 4.3 217 +1.0 ns In each district temperatures are significantly higher when averaged over

, 2025, https://doi.org/10.1016/j.cliser.2024.100530. New, S., and Coauthors (2024): Towards a climate service for the tea industry: A collaborative approach between the UK and China. Adv. Atmos. Sci., 41(12), 2289−2299, https://doi.org/10.1007/s00376-024-4302-8. Golding, N. et al. (2023) Towards a Step

., Maidens, A., Peterson, K., Gordon, M., MacLachlan, C., Graham, R., Fereday, D., Camp, J., Scaife, A.A., Xavier, P., McLean, P., Colman, A., and Cusack, S, 2011: The GloSea4 ensemble prediction system for seasonal forecasting, MWR, DOI: 10.1175/2011MWR3615.1. MWR, 139(6), pp. 1891-1910. Bowler, N.E

., Graham, R., Fereday, D., Camp, J., Scaife, A.A., Xavier, P., McLean, P., Colman, A., and Cusack, S, 2011: The GloSea4 ensemble prediction system for seasonal forecasting, MWR, DOI: 10.1175/2011MWR3615.1. MWR, 139(6), pp. 1891-1910. Bowler, N.E., A. Arribas, S. Beare, K. Mylne and G. Shutts, 2009

s−1) (red: ERA5; black CANARI LE; grey: individual LE members. The dotted lines indicate the axis of the stratospheric polar vortex. i.e. where !U peaks, while the dashed lines are the zero-wind line. The 20 m s −1 contours are thickened to highlight the stratospheric polar vortex