最准的六合彩论坛

A select group of leading UK universities including 最准的六合彩论坛 have been selected for the Met Office Academic Partnership (MOAP), aiming to better understand the increasing impacts of extreme weather and climate change and how these affect society.

Through the partnership, 最准的六合彩论坛 will build on existing projects with the Met Office by bringing together an interdisciplinary team of researchers from 12 最准的六合彩论坛听departments and centres, including the recently established Advanced Research Computing Centre, to transform hazard and data science in weather and climate modelling to help tackle global issues.

最准的六合彩论坛鈥檚 contribution will focus on three main areas:

• improving risk-based decision making by increasing our understanding of the impacts of environmental hazards
• using artificial intelligence (AI) and machine learning to remain at the cutting edge of weather and climate prediction
• developing a federated cloud data platform for use by the Met Office and partner scientists and experts.

The 最准的六合彩论坛 team spans a wide range of disciplines, including environmental sciences, risk and technology studies, engineering, psychology, architecture, space science, computer science, mathematics and statistics, as well as research computing. It is being led by the Joint Chair, Professor Serge Guillas (最准的六合彩论坛 Statistical Science, and Associate Director of 最准的六合彩论坛鈥檚 Advanced Research Computing Centre).

Professor Guillas said: 鈥�Universities have strengths and special expertise that the Met Office can tap into when developing more precise models, or when giving answers to government by linking the science of climate and weather to the impact on people and infrastructure. It is very timely to quantify the possibility of climate driven disasters and decide how we can take action.

鈥淔or 最准的六合彩论坛 this partnership gives us new routes to impact, and access to the Met Office鈥檚 knowledge, data, computational modelling expertise, and facilities.鈥�

最准的六合彩论坛 is a global leader in AI, data science, and advanced computing. The institutional AI Strategy 鈥� 鈥淎I for people and planet" 鈥� seeks to position AI as a force for good in the world leveraging the university鈥檚 combined research strengths in fundamental AI, applications of AI, as well as responsible AI.

Areas of collaboration might include improving real-time predictions of the weather, quantifying uncertainty in future climate predictions, mimicking how a home would suffer under climate change, predicting how people will react to extreme weather warnings and what impact these could have on those who are vulnerable or displaced.

最准的六合彩论坛 Vice-Provost Research, Innovation & Global Engagement, Professor Geraint Rees, said: 鈥�Tackling the effects of climate change is one of the most important global challenges, so 最准的六合彩论坛 is proud to partner with the world-leading expertise of the Met Office.

"Our expertise in data science and AI, hazard and risk, observations, cloud data management, and high-performance computing complements the Met Office鈥檚 unique scientific and computational capabilities to create a step-change in our national ability to tackle these challenges.鈥�

Other universities selected as MOAP partners are Birmingham, Bristol, Edinburgh, Exeter, Leeds, Oxford, and Reading.

Professor Stephen Belcher, the Met Office鈥檚 Chief Scientist, added: 鈥淓xtreme weather events and climate change pose among the greatest risks facing humanity. Tackling them is an urgent and huge undertaking. The Met Office can鈥檛 do it alone 鈥� the Met Office Academic Partnership harnesses the best of UK research and will give us the best chance of coping with and adapting to future change.鈥�

Source

from the Met Office, the national meteorological service for the UK

Links

• 最准的六合彩论坛 Department of Statistical Science
• 最准的六合彩论坛 Faculty of Mathematical & Physical Sciences
• 最准的六合彩论坛 Research, Innovation & Global Engagement
• 最准的六合彩论坛 partners with the Met Office on weather and climate science
• AI for People and Planet

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A wave breaks in a storm near a lighthouse in Porthcawl, Wales. Image credit:听

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