Conference
Open access
Sep 2026
NeuroDALEC: A Differentiable and Interpretable Mass-Conserving Framework for Terrestrial Ecosystem Carbon Cycle Dynamics
Accurate simulation of terrestrial ecological carbon cycles is crucial for global climate change and ecosystem management. Process-based carbon models have high interpretability, but suffer from insufficient accuracy and slow computation due to fixed parameters. In contrast, deep-learning carbon models achieve high acc...
Meng Wan, Tian-Tian Liu, Zhi-Xin Xia et al.
· Proceedings of the Thirty-Fi... · 0 citations