Detection of Changes in Extreme Events - Statistical Techniques

Learn statistical techniques for detecting changes in extreme weather and climate events through this 32-minute lecture that explores fundamental change detection concepts. Examine the mathematical and statistical frameworks used to identify shifts in the frequency, intensity, or patterns of extreme events such as floods, droughts, heat waves, and storms. Discover how to apply various statistical methods including trend analysis, breakpoint detection, and hypothesis testing to time series data of extreme events. Master the interpretation of statistical significance in the context of climate change detection and understand the challenges associated with analyzing rare but impactful extreme events. Gain practical knowledge of how these detection techniques are applied in climate research, risk assessment, and adaptation planning to identify when and how extreme event patterns are changing over time.