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With the advancement of technology, climate models now benefit from the support of theartificial intelligence. However, the results obtained are far from reassuring. Using techniques like transfer learning helps refine forecasts and reveals that more global regions will experience a significant temperature rise much sooner than previously estimated. These new projections call for an urgent review of climate policies to avoid worrying levels of warming by 2060.
The use of theartificial intelligence to analyze and refine the climate models led to surprising and often worrying discoveries. Scientists have revealed that the rise in global temperatures could exceed previous forecasts, and more quickly than expected. This article explores recent perceptions of climate scientists and howAI contributes to these crucial analyses.
Understanding the climate enemy with artificial intelligence
To maximize our chances of curbing global warming, it is essential to understand how it works. Scientists are working to achieve this by developing climate models increasingly precise, now reinforced by theartificial intelligence. Integrating AI into these models has enabled more detailed and geographically relevant estimates, making the climate threat more tangible and pressing.
Rising temperatures revealed by artificial intelligence
Between 2011 and 2020, global temperatures were 1.1°C higher than in pre-industrial times, mainly due to greenhouse gas emissions. Experts estimate that current policies are leading us towards 3°C of warming by the end of the century. However, climate scientists have used AI to re-evaluate these figures, with more alarming results: 34 of the world’s 46 regions are expected to exceed the threshold of 1.5°C of warming by 2040.
More accurate regional predictions using AI
Thanks to the technique of “ transfer learning « , the researchers refined the climate forecasts at the regional level. AI has made it possible to identify local temperature variations with increased precision, revealing glaring trends for certain parts of the globe. In particular, 26 regions could record warming greater than 3°C by 2060, thus anticipating critical thresholds well before traditional estimates.
Informing policy decisions with AI
For scientists, integrating the capabilities ofAI in climate models is imperative. Not only does this sharpen the predictions of climate change global, but it also opens up perspectives for understanding regional impacts. At this scale, climate developments certainly appear more uncertain, but AI and innovative techniques provide answers that could effectively inform future political decisions.
