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Mild autumn keeps 2022 on track to be warmest UK year

The news comes as provisional figures from the Met Office show Autumn 2022 (September, October, November) was the third warmest on record for the UK, with an average mean temperature of 11.1C, topped only by 2011 and 2006’s Autumn figures, in a series which goes back to 1884.   In addition

southwest_highlands.pdf

Speed mean/gusts (mph) Wind Direction (blowing from) 00:00 03:00 06:00 09:00 12:00 15:00 18:00 21:00 00:00 1300 37/46 S 37/46 SW 35/45 SW 26/33 SW 26/35 W 29/39 W 27/35 W 24/30 W 23/29 SW 900 23/32 SW 24/34 SW 24/34 SW 18/25 W 22/30 W 24/34 W 20/28 W 15/21 W 13/19 W 600 25/32 SW 31/40 SW 32/41 SW 17

srocc_sea_level_rise.pdf

in the projected loss of ice from the Antarctic ice sheet (Figure 2a). These revised projections show good agreement with independent work carried out at the Met Office for UKCP18 5 . 1 Daangendorf, S. et al (2019), Nature Climate Change: Persistent acceleration in global sea-level rise since

observed_changes_in_extremes_final_v1.0.pdf

saw extremely high levels of tropical cyclone activity in the Western North Pacific. This was found to be mainly caused by sea surface warming in the eastern and central Pacific, with human influence largely increasing the odds of this event. Zhang et al 2016 Funk, C., Shukla, S., Hoell, A. and Livneh

caa_verification_202504.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

ExCALIBUR webinar

Representation of uncertainty P r o c e s s e s Marine processes Earth system processes Verification Data Curation Component models Systems Data workflow Use case work packages 1. Component models Component models 2. System co-design 3. System integration Systems Data workflow Separation of Concerns Co

caa_verification-september-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-feb-2025.pdf

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

caa_verification_report_july2025.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_202503.pdf

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 3.60 3.40 3.20 3.00 2.80 Northern

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