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is a Senior Scientist at the Met Office Hadley Centre, and co-edited the global climate chapter of the report. He said: “Despite 2017’s surface temperatures not breaking the absolute record, the fact that it is following the pattern of one warm year after another is concerning and we are seeing

cooling influence from La Niña – the cooler counterpart to El Niño in the tropical Pacific - is expected to keep 2021’s final temperature value between the fifth to seventh warmest year since 1850. The last seven years 2015 to 2021 are on track to be the warmest seven-year period on record. Professor

central and southern England will reach into the low to mid 20’s Celsius and it’ll turn warmer still as we start the new week, with temperatures possibly reaching around 29 or 30 Celsius in the south east early next week.” You can check the latest weather warnings on our severe weather warnings pages

Areas of expertise  ENSO and ENSO teleconnections Seasonal prediction Ocean modelling My Publications - Ineson, S Current activities ENSO is the largest natural interannual climate signal in the tropics and fluctuations between warm (El Niño) and cold (La Niña) phases occur every occur every few

is your data recording? What are the units for your data? How was the data collected? Please select... Manually Automated Does your business outcome have any thresholds? No Yes, one. Yes, more than one. If yes, please specify the threshold(s)... Are you aware of any time lag that may affect

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

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

., Morton, D., Giglio, L., Chen, Y., van der Werf, G., Kasibhatla, P., DeFries, R., Collatz, G., Hantson, S., Kloster, S., Bachelet, D., Forrest, M., Lasslop, G., Li, F., Mangeon, S., Melton, J., Yue, C., Randerson, J. (2017): A human-driven decline in global burned area, Science, 356, 1356-1361

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

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