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• AI crucial to tackling environmental challenges, say experts at Turing and Met Office event

  to make accurate predictions. But now AI has the potential to drastically improve weather forecasting, making it even more accurate and faster. “We’re in the midst of an AI revolution and it’s happening at just the right time”, according to Professor Kirstine Dale, Chief AI Officer at the Met Office

• Can AI developments really be green?

  ? Author: Kirstine Dale 13 Jan 2026 Green AI is a challenge that touches all of us at the Met Office. Whether we’re developing new technologies, supporting our customers, or helping deliver on our sustainability commitments, the way we use artificial intelligence (AI) has a direct impact on our mission

• Met Office and AWS are pioneering how AI could shape the future of text-based weather services

  , Amazon’s annual flagship technology conference, and in a scientific paper authored by the team from the Met Office and AWS. Further exploration is underway, with operational meteorologists working alongside AI specialists to refine our approach. Professor Kirstine Dale, the Met Office’s Chief AI

• wales_-climate-met-officepdf

  , but cloud cover plays a part too. The graphs show the average monthly sunshine totals for Valley and Swyddffynnon , together with the highest and lowest totals recorded in the stated periods. The highest known monthly sunshine total in Wales is 354.3 hours recorded at Dale Fort (Pembrokeshire) in July

• wales_-climate-met-office.pdf

  , but cloud cover plays a part too. The graphs show the average monthly sunshine totals for Valley and Swyddffynnon , together with the highest and lowest totals recorded in the stated periods. The highest known monthly sunshine total in Wales is 354.3 hours recorded at Dale Fort (Pembrokeshire) in July

• wcssp-programme-science-workshop-report---final-111219.pdf

  together. Some memorable quotes from the workshop emphasise the spirit in which it was conducted, one of community with a purpose: - Tom Child – WCSSP is ‘relatively new (5 years) but still achieving significant research outputs’, and he described WCSSP as an ‘outstanding example’ thanking Kirstine Dale

• Memo

  (2003) and Kyriakidis et al. (2001) include predictors to model interaction with the lower atmosphere, such as wind and humidity, for precipitation mapping. Daly et al. (2003) incorporate expert knowledge into their regression model. The use of a locally varying (Price et al., 2000

• mwr_2024_07_for_printv2.pdf

  ), 168mAMSL) -2.2°C on 31st at Dalwhinnie No 2 (Inverness-shire, 351mAMSL) 75.7mm on 8th at White Barrow (Devon, 445mAMSL) 15.3hr on 7th at Dale Fort (Dyfed, 33mAMSL) 50Kt 58mph on 4th at Brizlee Wood (Northumberland, 250mAMSL) also on 5th at Wight: Needles Old Battery (Isle Of Wight, 80mAMSL) 72Kt 83mph

• mwr_2024_07_for_print_v1.pdf

  (Dorset, 52mAMSL) and Swanage (Dorset, 10mAMSL) 1.7°C on 31st at Tulloch Bridge (Inverness-shire, 249mAMSL) and Tyndrum No 3 (Perthshire (in Central Region), 168mAMSL) -2.2°C on 31st at Dalwhinnie No 2 (Inverness-shire, 351mAMSL) 75.7mm on 8th at White Barrow (Devon, 445mAMSL) 15.3hr on 7th at Dale

• mwr_2024_07_for_print.pdf

  ), 168mAMSL) -2.2°C on 31st at Dalwhinnie No 2 (Inverness-shire, 351mAMSL) 75.7mm on 8th at White Barrow (Devon, 445mAMSL) 15.3hr on 7th at Dale Fort (Dyfed, 33mAMSL) 50Kt 58mph on 4th at Brizlee Wood (Northumberland, 250mAMSL) also on 5th at Wight: Needles Old Battery (Isle Of Wight, 80mAMSL) 72Kt 83mph