Explore the uncertainties and limitations of flood modeling in this informative webinar. Delve into the challenges of quantifying model accuracy and establishing an evidence base for correctness. Examine various sources of uncertainty in hydraulic models, including input data accuracy, hydrologic modeling uncertainties, calibration, parameter validity, model discretization, and computational accuracy. Learn about the importance of understanding these uncertainties for making informed decisions and producing reliable, defensible results. Discover examples of when and where different modeling solutions are applicable, new developments in computational solutions, the crucial role of calibration and sensitivity testing, and reasons for discrepancies between models. Gain insights into more realistic modeling techniques, better flood risk management, and the significance of physical processes in flooding. Explore the Australian Rainfall & Runoff (ARR) journey and the Monte Carlo statistical approach to reducing temporal pattern uncertainty. Enhance your understanding of flood modeling complexities and improve your ability to create fit-for-purpose models for stakeholders. Read more