Earth system modeling

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.
Min Chen, Zhen Qian, Niklas Boers, Anthony J. Jakeman, Albert J. Kettner, Martin Brandt, Mei-Po Kwan, Michael Batty, Wenwen Li, Rui Zhu, Wei Luo, Daniel P. Ames, C. Michael Barton, Susan M. Cuddy, Sujan Koirala, Fan Zhang, Carlo Ratti, Jian Liu, Teng Zhong, Junzhi Liu, Yongning Wen, Songshan Yue, Zhiyi Zhu, Zhixin Zhang, Zhuo Sun, Jian Lin, Zaiyang Ma, Yuanqing He, Kai Xu, Chunxiao Zhang, Hui Lin, Guonian Lü
Iterative integration of deep learning in hybrid Earth surface system modelling