Developing artificial intelligence based long-term streamflow forecasting models: a case study of Murray Darling Basin, Australia

<p dir="ltr">This research developed advanced computer-based models to improve the prediction of river streamflow across Australia. Reliable streamflow forecasts are essential for effective water resource management, agricultural planning, and reducing the impacts of floods and droughts. The study explored how large-scale ocean and climate patterns influence river flows and created innovative models capable of forecasting changes up to twelve months in advance. By improving long-term prediction accuracy, this research supports better decision-making for governments and communities, helping Australia adapt to climate variability and build more sustainable and resilient water management systems.</p>