Beginner to AI Product Manager in 3 Months

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

NPTEL

Climate Change - Extreme Events

NPTEL via Swayam

Go to class Write review

Overview

Coursera Plus Monthly Sale:
All Certificates & Courses 40% Off!
Grab it
ABOUT THE COURSE:This proposed Climate Change - Extreme Events course explores the science, impacts, and management of extreme climate events such as heatwaves, floods, droughts, and tropical storms. Students will learn foundational climate science, statistical analysis techniques, and predictive modeling to assess and analyze these events. The course also covers socioeconomic impacts, vulnerability assessment, and adaptation strategies, with a focus on policy responses and resilience-building. Through case studies, data analysis, and project work, students gain practical skills for understanding and managing climate risks, preparing them for roles in climate science, policy, and adaptation planning.INTENDED AUDIENCE: Master Level or Above StudentsPREREQUISITES: Knowledge of Environmental Science, Statistics and Data AnalysisINDUSTRY SUPPORT:Companies: Geo Climate Risk Solutions (GCRS), Satyukt Analytics Private Limited, Kritsnam Technologies, Non-Governmental Organizations (NGOs): Organizations such as The Energy and Resources Institute (TERI) and Centre for Science and Environment (CSE) Government Agencies: Departments like the Ministry of Environment, Forest and Climate Change and the National Disaster Management Authority (NDMA)

Syllabus

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

Taught by

Prof. Somil Swarnkar

Reviews

Start your review of Climate Change - Extreme Events

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.