Published:

Thornwell 2022. Learning From Machines: Insights in Forest Transpiration Using Machine Learning Methods. https://pdxscholar.library.pdx.edu/open_access_etds/6199/

Jiang et al. 2026. Structure-Function Coherent Coarsening for Cross-Resolution Ecohydrological Modeling. Water Resources Research.

Under development:

Thornwell et al. 2026. Assessing global drivers of forest transpiration using clustered machine learning models.