Learn · Climate Change - Extreme Events
Lecture 45 of 47Week 12
Review of Statistical and Analytical Methods
Prof. Somil Swarnkar · IISER Bhopal
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- From
- Climate Change - Extreme Events, IISER Bhopal (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge. Coordinated by IIT Madras.
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- Tweens profiles and older. How courses are placed
All the lectures
- Climate Science Basics – Weather vs. Climate
- Introduction to Climate Change
- Introduction to Climate Extremes: Definitions, Types, and Global Impact
- Week 1 Summary & Assignment
- Heatwaves and Cold Spells: Causes, Impacts, and Trends
- Extreme Precipitation: Floods, Droughts, and Water Cycle Impacts
- Tropical Cyclones, Storms, and Associated Weather Events
- Week 2 Summary & Assignment
- Climate Data Sources and Observational Tools
- Data Collection and Preprocessing: Handling Gaps, Errors, and Temporal Biases
- Introduction to Climate Models: Types, Resolution, and Applications
- Week 3 Summary & Assignment
- Probability Distributions and Climate Data Analysis
- Introduction to Extreme Value Theory (EVT) and its Applications
- Analyzing Frequency and Intensity of Extreme Events
- Week 4 Summary & Assignment
- Time Series Analysis: Trends, Seasonality, Stationarity and Correlations
- Detection of Changes in Extreme Events: Statistical Techniques
- Attribution Studies: Linking Extremes to Anthropogenic Climate Change
- Week 5 Summary and Assignment
- Risk Assessment Frameworks for Extreme Events
- Calculating Return Periods for Rare Events
- Uncertainty Analysis in Climate Projections and Risk Assessments
- Week 6 Summary and Assignment
- The 2013 Uttarakhand and 2015 South India Floods
- The Millennium Drought of Australia
- The 2022 Heatwave Across Northern and Central India
- Week 7 Summary and Assignment
- Predictive Models for Climate Extremes: Statistical, and Machine Learning
- Building and Validating Statistical and ML-Based Models for Prediction
- Scenario Analysis and Projecting Future Extremes
- Week 8 Summary and Assignment
- Economic Costs of Extreme Events: Damage and Recovery
- Health and Social Impacts of Climate Extremes
- Vulnerability and Adaptation in Developing Regions
- Week 9 Summary and Assignment
- International Agreements and National Policies on Climate Change
- Risk Reduction Strategies and Community Resilience
- Adaptation Policies for Climate Extreme Events
- Week 10 Summary and Assignment
- Advances in Climate Extremes Research and Big Data Applications
- Remote Sensing and AI in Detections of Climate Extremes
- Role of Ecosystems in Mitigating Climate Extremes
- Week 11 Summary and Assignment
- Review of Statistical and Analytical Methods
- Integrated Case Study Project: Analyzing a Recent Extreme Event
- Course Wrap-Up and Discussion on Future Research Directions