AUTHOREA
Log in Sign Up Browse Preprints

Quantifying changes in global snow at high spatial resolutions under future warming s...
Andrew Bennett and Oriana Chegwidden
Community Workflows to Advance Reproducibility in Hydrologic Modeling: Separating mod...
Wouter Johannes Maria Knoben, Martyn P. Clark, Jerad Bales, et al.
Explainable AI uncovers how neural networks learn to regionalize in simulations of tu...
Andrew Bennett and Bart Nijssen
Deep learned process parameterizations provide better representations of turbulent he...
Andrew Bennett and Bart Nijssen
A process-conditioned and spatially consistent method for reducing systematic biases...
Andrew Bennett, Adi Stein, Yifan Cheng, et al.
Learning from Observations: The Case for a New Generation of Land Surface Models
Bart Nijssen, Andrew Bennett, Grey Nearing, et al.
Using physics-based machine learning to estimate unobserved quantities: A case study...
Andrew Bennett, Maoya Bassiouni, Bart Nijssen, et al.
A coupled approach to incorporating deep learning into process-based hydrologic model...
Andrew Bennett and Bart Nijssen
Dynamic process connectivity for model diagnostics, evaluation, and intercomparison
Andrew Bennett, Bart Nijssen, Grey Nearing, et al.
A Spatially Consistent Bias Correction Technique for Distributed Streamflow Modeling
Bart Nijssen, Andrew Bennett, Marketa McGuire, et al.