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Collaboration between artificial intelligence and Earth science communities for mutual benefit
Artificial intelligence is rapidly being integrated into Earth science, but how Earth science may benefit artificial intelligence has been overlooked. We call for mutual balancing between the two disciplines and improving cross-disciplinary collaboration.
Iterative integration of deep learning in hybrid Earth surface system modelling
Methods to integrate Earth system modelling (ESM) with deep learning offer promise for advancing understanding of Earth processes. This Perspective explores the development and applications of hybrid Earth system modelling, a framework that integrates neural networks into ESM throughout the modelling lifecycle.
Vectorized rooftop area data for 90 cities in China
The first rooftop area dataset for 90 cities in China is of high quality and can be used for data support and decision-making that can facilitate sustainable urban development effectively.