A study by German scientists from Jena and Hamburg, published today in the journal Nature, shows that artificial intelligence (AI) can substantially improve our understanding of the climate and the Earth system.
Especially the potential of deep learning has only partially been exhausted so far.
In particular, complex dynamic processes such as hurricanes, fire propagation, and vegetation dynamics can be better described with the help of AI.
As a result, climate and Earth system models will be improved, with new models combining artificial intelligence and physical modeling.
In the past decades mainly static attributes have been investigated using machine learning approaches, such as the distribution of soil properties from the local to the global scale.
For some time now, it has been possible to tackle more dynamic processes by using more sophisticated deep learning techniques.