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1
Introduction
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Why Uncertainty Analysis
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Uncertainty Analysis
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Example
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Two Parallel Tasks
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Quality of uncertainty analysis
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Defining parameters
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Observations
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Report
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Conclusion
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Questions
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Acceptance Criteria
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Measurement
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Conceptual Models
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Parallel Computing
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High Performance Computing
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Model Emulation
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Optimization
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QA
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Sensitivity Analysis
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Future Predictions
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Question
23
Thank you
Description:
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.

Managing Uncertainty in Water Resource Modelling

Australian Water School
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