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ensembles for near real-time attribution of extreme events, Hadley Centre Technical Note 107, Available from https://www.metoffice.gov.uk/research/library-and-archive/publications/science/climate-sciencetechnical-notes Christidis, N., P. A. Stott, A. Scaife, A. Arribas, G. S. Jones, D. Copsey, J. R
attribution of extreme events, Hadley Centre Technical Note 107, Available from https://www.metoffice.gov.uk/research/library-and-archive/publications/science/climate-sciencetechnical-notes Christidis, N., P. A. Stott, A. Scaife, A. Arribas, G. S. Jones, D. Copsey, J. R. Knight, and W. J. Tennant, 2013
rise'. July 24, 2013 4 IPCC, 2013: Summary for Policymakers. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Stocker, T.F., D. Qin, G.-K. Plattner, M. Tignor, S. K. Allen, J. Boschung
– Differential fluxes of electrons and ions range 10 5 – 10 9 /cm2/sr/keV/s shall be able to be measured. – Time resolution for a complete measurement over all energies and both species shall be able to be commanded to less than 30s – Total mass of all sensors plus electronics shall be < 0.5kg L5 Consortium
it was influenced by El Niño or not. Figure 3 Differences from the long-term average of (left) zonal wind i.e wind speed along the equator, (centre) depth at which water temperature falls to 20°C and (right) sea-surface temperature across the Pacific between 5°S and 5°N. During El Niño events, the sea-surface
that happened as part of [insert Implementing Partner’s name]’s WISER Africa project, called [insert name of project]. Outcome Harvesting is a method that enables project managers, workers and evaluators to identify, formulate, verify, and make sense of outcomes. Outcome Harvesting is a forensic
accounting for differences in model ensembles, method and emissions scenarios is beyond the scope of this report. © Crown copyright 2024, Met Office Page 9 of 10 References Christidis, N., P. A. Stott, A. Scaife, A. Arribas, G. S. Jones, D. Copsey, J. R. Knight, and W. J. Tennant, 2013: A new
static members (interpolated from ORCA025 system) • 3-day cycle system Atmosphere • ERA5 atmospheric forcing Observations • SLA (remote, L2P) Sentinel-3A, Sentinel-3B, Cryosat-2, Jason-3, Saral (RADS); • SST (remote, L2P) VIIRS-NPP, VIIRS-N20 (NOAA), AMSR-2 (JAXA), AVHRR-MTA,AVHRR-MTB (NAVO) • T,S
., 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. To be published in June 2011 issue MWR, 139(6), pp. 1891-1910. Bowler, N.E., A. Arribas, S. Beare, K. Mylne and G
19 July 2022 Cambridge, NIAB England SW 36.0 18 July 2022 Bude (Cornwall) Wales S 35.8 18 July 2022 Gogerddan (Ceredigion) England SE & Central S 40.2 19 July 2022 Heathrow (London) England SE & Central S 40.2 19 July 2022 St James's Park (London) Lowest daily minimum temperature records District
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