Stefan Liess

Knowledge-guided machine learning can improve carbon cycle quantification in agroecosystems

Multi-scale carbon emission characterization and prediction based on land use and interpretable machine learning model: A case study of the Yangtze River Delta Region, China

A Guide to Earth Science Data: Summary and Research Challenges

A graph‐based approach to find teleconnections in climate data