Module 1: Foundations of Climate Science and Extreme Events (Weeks 1-2)
Week 1: Foundations of Climate Change and Extreme Events
• Lecture 1: Climate Science Basics – Weather vs. Climate
• Lecture 2: Introduction to Climate Change
• Lecture 3: Introduction to Climate Extremes: Definitions, Types, and Global Impact
Week 2: Types and Characteristics of Extreme Events
• Lecture 4: Heatwaves and Cold Spells: Causes, Impacts, and Trends
• Lecture 5: Extreme Precipitation: Floods, Droughts, and Water Cycle Impacts
• Lecture 6: Tropical Cyclones, Storms, and Associated Weather Events
Module 2: Tools and Techniques for Observing and Measuring Climate Extremes (Weeks 3-4)
Week 3: Observing and Measuring Extreme Events
• Lecture 7: Climate Data Sources and Observational Tools (satellites, ground stations, remote sensing)
• Lecture 8: Data Collection and Preprocessing: Handling Gaps, Errors, and Temporal Biases
• Lecture 9: Introduction to Climate Models: Types, Resolution, and Applications
Week 4: Statistical Foundations for Analyzing Climate Extremes
• Lecture 10: Probability Distributions and Climate Data Analysis
• Lecture 11: Introduction to Extreme Value Theory (EVT) and its Applications
• Lecture 12: Analyzing Frequency and Intensity of Extreme Events
Module 3: Analyzing and Detecting Changes in Climate Extremes (Weeks 5-6)
Week 5: Detecting and Attributing Changes in Extreme Events
• Lecture 13: Time Series Analysis: Trends, Seasonality, Stationarity and Correlations
• Lecture 14: Detection of Changes in Extreme Events: Statistical Techniques
• Lecture 15: Attribution Studies: Linking Extremes to Anthropogenic Climate Change
Week 6: Risk Assessment and Return Period Calculations
• Lecture 16: Risk Assessment Frameworks for Extreme Events
• Lecture 17: Calculating Return Periods for Rare Events (e.g., 100-year floods)
• Lecture 18: Uncertainty Analysis in Climate Projections and Risk Assessments
Module 4: Case Studies and Predictive Modeling for Climate Extremes (Weeks 7-8)
Week 7: Case Studies on Recent Extreme Events
• Lecture 19: The 2013 Uttarakhand and 2015 South India Floods
• Lecture 20: The Millennium Drought of Australia
• Lecture 21: The 2022 Heatwave Across Northern and Central India
Week 8: Predictive Modeling of Extreme Events
• Lecture 22: Predictive Models for Climate Extremes: Statistical, and Machine Learning
• Lecture 23: Building and Validating Statistical and ML-Based Models for Prediction
• Lecture 24: Scenario Analysis and Projecting Future Extremes
Module 5: Socioeconomic Impacts, Vulnerability, and Policy Responses (Weeks 9-10)
Week 9: Socioeconomic Impacts and Vulnerability to Extreme Events
• Lecture 25: Economic Costs of Extreme Events: Damage and Recovery
• Lecture 26: Health and Social Impacts of Climate Extremes
• Lecture 27: Vulnerability and Adaptation in Developing Regions
Week 10: Policy and Governance in Managing Climate Extremes
• Lecture 28: International Agreements and National Policies on Climate Change
• Lecture 29: Risk Reduction Strategies and Community Resilience
• Lecture 30: Adaptation Policies for Climate Extreme Events
Module 6: Emerging Trends, Advanced Applications, and Future Directions (Weeks 11-12)
Week 11: Emerging Trends and Advanced Topics
• Lecture 31: Advances in Climate Extremes Research and Big Data Applications
• Lecture 32: Remote Sensing and AI in Detections of Climate Extremes
• Lecture 33: Role of Ecosystems in Mitigating Climate Extremes (e.g., mangroves for coastal flooding)
Week 12: Synthesis and Future Directions
• Lecture 34: Review of Statistical and Analytical Methods
• Lecture 35: Integrated Case Study Project: Analyzing a Recent Extreme Event
• Lecture 36: Course Wrap-Up and Discussion on Future Research Directions
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