David McInerney

Dr. David McInerney is an ARC Grant-Funded Researcher (B) in the School of Architecture and Civil Engineering at the University of Adelaide, affiliated with the Environmental Engineering department. His research focuses on improving the understanding and management of physical systems through mathematical and statistical models. Key areas include quantifying uncertainty in hydrological predictions, developing climate model emulators, robust decision-making under climate uncertainty, hydrodynamic modeling of lakes and floodplains, and numerical/statistical modeling of geological processes.

His work integrates advanced statistical methodologies with environmental systems analysis, emphasizing practical applications for decision support in water resource management and climate adaptation. Notable contributions include the development of the MuTHRE model for seamless subseasonal streamflow forecasting and frameworks for evaluating probabilistic predictions in hydrological models. Dr. McInerney collaborates on interdisciplinary projects, such as the Virtual Hydrological Laboratories initiative, aimed at advancing conceptual models for decision-making under climate change.

Recent publications (2021–2024) highlight his expertise in probabilistic forecasting, climate stress testing, and hydrological error modeling. His research addresses critical challenges in environmental science, including improving forecast accuracy for water resource systems and quantifying impacts of wildfires and climate variability on catchment dynamics.