Managing Uncertainty in Water Resource Modelling

Explore the complexities of uncertainty analysis in water resource modeling through this 45-minute webinar presented by Dr. Luk Peeters from CSIRO. Delve into key questions surrounding parameter selection, handling external uncertainties, model adaptations, and incorporating observations with their inherent uncertainties. Learn about the importance of uncertainty analysis, examine practical examples, and understand the dual tasks involved in the process. Gain insights into defining parameters, working with observations, and creating comprehensive reports. Discover acceptance criteria, measurement techniques, and the role of conceptual models. Investigate advanced topics such as parallel computing, high-performance computing, model emulation, and optimization. Engage in a Q&A session covering sensitivity analysis, future predictions, and other relevant aspects of water resource modeling uncertainty.

Introduction
Why Uncertainty Analysis
Uncertainty Analysis
Example
Two Parallel Tasks
Quality of uncertainty analysis
Defining parameters
Observations
Report
Conclusion
Questions
Acceptance Criteria
Measurement
Conceptual Models
Parallel Computing
High Performance Computing
Model Emulation
Optimization
QA
Sensitivity Analysis
Future Predictions
Question
Thank you