Manuel Schlund

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

Investigating the impacts of climate change on hydroclimatic extremes in the Tar-Pamlico River basin, North Carolina

Context for interpreting equilibrium climate sensitivity and transient climate response from the CMIP6 Earth system models

Constraining Uncertainty in Projected Gross Primary Production With Machine Learning