Ecology Meets Machine Learning to Forecast China’s Forest Carbon Future
A knowledge-guided machine learning framework that embeds a carbon dioxide-aware forest process model into XGBoost outperformed conventional machine learning in ...
A knowledge-guided machine learning framework that embeds a carbon dioxide-aware forest process model into XGBoost outperformed conventional machine learning in ...
Process-based landscape modelling across four climate scenarios projects that evergreen needle-leaved forests in China's Greater Bay Area could see aboveground ...
An analysis of 15 CMIP6 climate models finds that projected AMOC weakening begins in the subpolar North Atlantic and spreads ...
An international team of 63 climate and health experts has expanded the five Shared Socioeconomic Pathways to capture how public ...
Researchers developed and evaluated a bachelor-level climate modelling course that pairs hands-on numerical programming with philosophy of science and social ...
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© 2025 Scienmag - Science Magazine