Project description
Using AI to predict climate change effects on extreme weather
Climate change is modifying and enhancing extreme weather events such as heat waves, devastating wildfires, cyclones, floods and droughts. The EU-funded XAIDA project will characterise, detect and attribute extreme events using a novel data-driven, impact-based approach. It will use new AI techniques and bring together specialists in extreme event attribution, atmospheric dynamics, climate modelling, machine learning and causal inference. The findings will shed light on the effect of climate change on atmospheric phenomena like cyclones and convective storms, which are not well understood or quantified. The project will also provide tools to assess the causal pathways leading to extreme events.
Fields of science
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
75794 Paris
France
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Participants (15)
Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
75015 Paris 15
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1081 HV Amsterdam
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OX1 2JD Oxford
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3731 GA De Bilt
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EX1 3PB Exeter
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80539 Munchen
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46010 Valencia
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04109 Leipzig
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51147 Koln
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8092 Zuerich
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04318 Leipzig
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RG6 6AH Reading
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75007 Paris
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75006 Paris
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2593 HT Den Haag
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