Paris floods made almost twice as likely due to climate change

Posted on 10th June 2016

The World Weather Attribution team have analysed the role of climate change in the recent floods in France. Using multiple models (including weather@home) and observational analysis, their findings estimate the event to be almost twice as likely due to climate change (80% more likely in the Seine valley and 90% in the Loire valley). All […]

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New analysis provides “proof of concept” for real-time extreme event attribution

Posted on 1st June 2016

A new analysis published in the journal Environmental Research Letters establishes that seasonal forecast sea surface temperature (SSTs) can be used to perform probabilistic extreme-event attribution, thereby accelerating the time it takes climate scientists to understand and quantify the role of global warming in certain classes of extreme weather events. To test the theory that […]

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All new models can now be run on Macs

Posted on 26th May 2016

It has been a long time coming but finally our newest models, weather@home2, can also be run on macs as well as linux and windows operating systems. We would like to thank all mac using participants for their patience and hope that you will enthusiastically move away from Australia only simulations to help us simulate […]

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weather@home and at EGU General Assembly 2016

Posted on 21st April 2016

Weather@home and are again significantly represented with both oral presentations and posters at the annual European Geophysical Union General Assembly, 17-22 April in Vienna. The Assembly provides a forum where geoscientists from all over the world can present their work and discuss their ideas with experts in all fields of geoscience and is together […]

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Raising Risk Awareness – new project under WWA

Posted on 18th April 2016

To extend the reach of and scope of our World Weather Attribution project we are engaging in a new project with CDKN: Raising Risk Awareness – Using climate science to inform post disaster Policy & practice in developing countries Today we understand the impact of human activities on global mean temperature very well; however, high-impact […]

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