A lecture recently organized by the International Centre for Theoretical Physics (ICTP), as part of supporting IYBSSD, was themed: “Artificial Intelligence for Detection and Attribution of Climate Extremes”.
ICTP has hosted the second event in its series of high-level panel discussions in support of the United Nations’ International Year of Basic Sciences for Sustainable Development (IYBSSD2022).
Artificial Intelligence for…
Titled “Artificial Intelligence for Detection and Attribution of Climate Extremes”, the event featured talks by Dim Coumou, a professor of climate extremes and societal risk at Vrije Universiteit, Netherlands, and Robert Vautard, a meteorologist and climatologist at the Institute Pierre-Simon Laplace, France.
The two discussed how Machine Learning techniques could be used to detect climate extremes and attribute those extremes to global warming, helping to improve the accuracy of future risk projections.
Communicating global warming
The ability to correctly communicate how global warming is connected with changes in extremes is of crucial importance for developing and planning mitigation and adaptation capacity.
Watch the discussion here.
This report was initially shared by ICTP.