“River, river on the model” - Dr. Muhebwa’s new paper improves basin discharge predictions!

A figure from the paper - The study site of Mackenzie Basin in Canada

We are excited to announce the publication of a new paper from the Osman Lab, led by none other than our brilliant post-doc, Dr. Aggrey Muhebwa! This groundbreaking study uses Long Short-Term Memory Recurrent Neural Network (LSTM-RNN) models to integrate spatiotemporal hydrologic knowledge, enhancing the accuracy of river discharge predictions. By incorporating the spatial variability of river systems, the research demonstrates significant improvements over traditional modeling approaches. The work represents an important advancement in water resource management, offering more reliable tools for predicting river discharge and supporting flood mitigation efforts. Stay tuned for more details and future collaborations!