A breakthrough in the theory of climate change science has given scientists the most robust way yet to link observed climate change to both human-made and natural causes and to spot early warning signals for potential climate disasters.
A breakthrough in the theory of climate change science has given scientists the most robust way yet to link observed climate change to both human-made and natural causes and to spot early warning signals for potential climate disasters.
An international collaboration between Valerio Lucarini, a mathematician from the University of Leicester, and scientist Mickaël Chekroun has led to applying principles of statistical mechanics to climate science to frame how to distinguish the climate change signal from the 'background noise' of natural climate variability and to flag the nearing of ‘tipping points,’ such as those associated with the collapse of the Atlantic Ocean circulation or of the Amazon forest.
This theoretical advance paves the way for the development of innovative methods to study climate change and its associated risks, thanks to a more advanced understanding the underlying mechanisms driving climate change.
Read more at University of Leicester
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