Data and model code used to evaluate a process-guided deep learning approach for in-stream dissolved oxygen prediction
This model archive contains data and code used to assess the use of process-informed multi-task deep learning models for predicting in-stream dissolved oxygen concentrations. Three holdout experiments were run to assess model performance, including a temporal holdout experiment, a spatial holdout experiment with …