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Explore the science behind climate extremes through this comprehensive course taught by Prof. Somil Swarnkar from IISER Bhopal. Master the fundamental concepts of climate science, distinguishing between weather and climate while examining various types of extreme events including heatwaves, cold spells, extreme precipitation, floods, droughts, and tropical cyclones. Learn to analyze climate data using statistical methods, probability distributions, and extreme value theory to assess the frequency and intensity of extreme weather events. Develop skills in time series analysis, trend detection, and attribution studies to understand how human activities contribute to climate change. Study real-world case studies including the 2013 Uttarakhand floods, 2015 South India floods, Australia's Millennium Drought, and the 2022 Indian heatwave. Build predictive models using statistical and machine learning approaches for forecasting future climate extremes. Examine the economic, health, and social impacts of extreme events, particularly focusing on vulnerability in developing regions. Understand risk assessment frameworks, return period calculations, and uncertainty analysis in climate projections. Explore policy responses including international agreements, national strategies, and community resilience building. Investigate cutting-edge research applications including remote sensing, artificial intelligence, and big data analytics in climate extremes detection. Complete hands-on assignments and an integrated case study project analyzing recent extreme events while learning about the role of ecosystems in climate mitigation.
