PNAS: Artificial intelligence can be used to reveal the tipping point of climate change

Chris Bauch, a professor of applied mathematics at the University of Waterloo, recently co-authored a research paper reporting the results of this new deep learning algorithm

Bauch said: "We found that the new algorithm can not only predict the critical point more accurately than existing methods, but also provide information about the type of state beyond the critical point

Some critical points are usually related to uncontrolled climate change, including melting Arctic permafrost, which may release large amounts of methane and further accelerate the temperature rise; the collapse of ocean current systems, which may cause almost immediate changes in weather patterns; or the disintegration of ice sheets, This may cause rapid changes in sea level

According to the researchers, the innovation of this kind of artificial intelligence is that it is programmed to learn not only a tipping point, but also general tipping point characteristics

This method gains advantages by mixing artificial intelligence and the mathematical theory of tipping point, more than any method can be done alone

Timothy Lenton, director of the Global Systems Institute at the University of Exeter, one of the co-authors of this study, said: "Our improved method It may send a red flag when we are close to a critical point of danger

Deep learning has made great progress in pattern recognition and classification.

Thomas Bury, a postdoctoral researcher at McGill University and another co-author of the paper, said: "People are familiar with the tipping point of the climate system, but in ecology and epidemiology, even in stock The market also has a tipping point

Another researcher on the project, Madhur Anand, director of the Guelph Institute for Environmental Research, said that the new deep learning algorithm “changes the ability to predict major changes, including those Changes related to climate change"

Now that their artificial intelligence has understood the function of the tipping point, the team is working on the next phase of providing it with data on contemporary climate change trends

She said: "This is definitely our advantage

Journal Reference :

1. Thomas M.