Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability Journal June, 2023
Carbon cycle extremes accelerate weakening of the land carbon sink in the late 21st century Journal May, 2023
Uncertainty quantification of machine learning models to improve streamflow prediction under changing climate and environmental conditions Journal April, 2023
Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling Journal April, 2023
Coupled Lattice Boltzmann Modeling Framework for Pore-Scale Fluid Flow and Reactive Transport... Journal April, 2023
A scalable transformer model for real-time decision making in neutron scattering experiments Journal April, 2023
Stream Temperature Prediction in a Shifting Environment: Explaining the Influence of Deep Learning Architecture... Journal April, 2023
Investigation of hydrometeorological influences on reservoir releases using explainable machine learning methods Journal March, 2023
