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eXtreme events : Artificial Intelligence for Detection and Attribution

Sixteen European research institutes are joining forces with climate risk practitioners to better assess and predict the influence of climate change on extreme weather using novel artificial intelligence methods. This new EU-funded 4-year project, called “XAIDA”, started in September 2021.

 

 

In 2021, Geert Jan van Oldenborgh, one of the initiators of XAIDA, passed away. He also laid down the foundations of rapid attribution.

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News

XAIDA Webinar #10

[Special edition] The 10th session of our webinars will be held in partnership with the CLINT (Climate Intelligence) project on October 25th at 10:30 AM CET. Emanuele Bevacqua (UFZ) and Niklas Luther (JLU) will do a presentation on compound weather and climate events in a changing climate.
Check out the details to attend, discuss and follow the discussion!

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News, Webinar

XAIDA Webinar #9

The 9th session of our webinar will occur on September 10th at 2 PM CET. Nathan Mankovich (UVEG) will do a presentation on the Dynamic Mode Decomposition with control (DMDc).
Check out the details to attend, discuss and follow the discussion!

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News, Webinar

XAIDA Webinar #8

The 8th session of our webinar will occur on July 3rd at 2 PM CET. Lucas Fery (LSCE-IPSL, CEA Saclay) will do a presentation on the detection and attribution of derechos in France.
Check out the details to attend, discuss and follow the discussion!

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News, Webinar

XAIDA Webinar #7

The 7th session of our webinar will occur on June 13th at 2 PM CET. Christian Reimers (Max Planck Institute, Germany) will do a presentation on impact modeling for phenology.
Check out the details to attend, discuss and follow the discussion!

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News, Webinar

POLICY BRIEF: RISKS FROM CLIMATE EXTREMES OVER EUROPE AND BEYOND

Extreme weather events in 2023 illustrated how poorly prepared the world is for the growing risks of climate change. Nowadays it is possible to use attribution science to investigate the role of climate change and other factors in specific weather and climate extremes. Attribution studies estimate by how much a specific extreme event was made more (or less) likely and/or intense because of climate change. This policy brief summarizes key learnings from the first two years of the XAIDA project and formulates recommendations.

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News, Policy Brief