How Wrong Is Your Flood Model?

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.

Intro
What are we (Modellers) all about? More Realistic Modelling Better Flood Risk Management
Uncertainties in Your Data
What Physical Processes Matter for Flooding?
Wide Range of Hydraulic Phenomena
Flow Against a Building - Benchmark Flume Model
Suitability of Hydraulic Solver
Reducing Modelling Uncertainties Today's Topics
Simulating the Flood Wave Importance of Calibration
Australian Rainfall & Runoff (ARR) Journey
Reducing Temporal Pattern Uncertainty
General Observations from ARR 2016
Monte Carlo Statistical Approach
Conclusion How Wrong is Your Flood Model?