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caa_verification_report_june2025.pdf

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 on 12-month mean values) Root Mean Square Vector Error 4.00

caa_verification-october-2025.pdf

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 on 12-month mean values) Root Mean

caa_verification-august-2025.pdf

), 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 on 12-month mean values) Root Mean Square

caa_verification_202505-may.pdf

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 on 12-month mean values) Root Mean Square Vector Error 4.00 3.80

caa_verification-december-2025.pdf

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 on 12-month mean values

caa_verification-november-2025.pdf

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 on 12-month mean values

ukcp18-factsheet-using-rainfall-data-from-ukcp-v2.pdf

© Crown Copyright 2023 References Chan, S.C, Kendon, E.J, Fowler, H.J, Youngman, B.D, Dale, M., Short, C. (2023) New extreme rainfall projections for improved climate resilience of urban drainage systems. Climate Services. Vol 30 https://doi. org/10.1016/j.cliser.2023.100375 Chan, S C, Kendon, E J

DePreSys: Met Office decadal prediction system

the decade. Updated decadal forecasts, along with verification of previous forecasts, are available from the Forecast web page. References Smith, D. M., S. Cusack, A. W. Colman, C. K. Folland, G. R. Harris and J. M. Murphy, 2007, Improved surface temperature prediction for the coming decade from

Disc Log 185

of the supplier(s)? Information released: The Met Office’s Annual Report 2012-13 (page 14) shows the electricity consumption for the HQ site. Please see the following link to the 2012-13 annual report: http://www.metoffice.gov.uk/learning/library/publications/corporate The Met Office uses EDF Energy

Radar systems

network was built up over a period from the mid 1970's to the 1990s, with the oldest radar at Hameldon Hill. To combat the risk of obsolescence, meet the future demands of higher resolution NWP, and operationally realise the benefits of dual polarisation technology on the UK network, the radar

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