Improving Discharge Predictions in Ungauged Basins: Harnessing the Power of Disaggregated Data Modeling and Machine Learning

• Main Authors: Muhebwa, Aggrey, Gleason, Colin Joseph, Feng, Dongmei, Taneja, Jay
• Format: Other/Unknown Material
• Language: unknown
• Published: Authorea, Inc. 2024
• Subjects: Canada; Nash; Sutcliffe; Mackenzie Basin
• Online Access: http://dx.doi.org/10.22541/essoar.170689011.10806241/v1

Current machine learning methods for discharge prediction often employ aggregated basin-wide hydrometeorological data (lumped modeling) for parametric and non-parametric training. This approach may overlook the spatial heterogeneity of river systems and their impact on discharge patterns. We hypothe...