ABOUT THE COURSE:This course provides an overview of climate hazards: precipitation-related hazards like floods and droughts, and temperature-related hazards like heat waves and cold waves. The course focuses on advanced statistical techniques for modelling risks due to individual extremes like flood, drought, heat waves, cold waves and their compound effects using Copula. The course also discusses the regional impacts of these hazards through conceptual knowledge and real-world case studies to devise disaster mitigation strategies to counter them. As climate hazards intensify and become more frequent, it is crucial for researchers, professionals, and students alike to comprehend not just science but also the practical strategies of mitigation and response. This course offers a balanced mix of theory, hands-on learning, and real-world case studies across a range of climate hazards.INTENDED AUDIENCE: Anyone with the level of P.G. and Ph.D. can take this course.INDUSTRY SUPPORT:NDMA (National Disaster Management Authority)SDMAs (State Disaster Management Authorities)NIDM (National Institute of Disaster Management)CWC (Central Water Commission)

Syllabus

Module 1: Introduction to Climate Hazards & Vulnerability
Week 1:
Lecture 1: Introduction to climate hazards & disastersLecture 2: Climate change & climate variability; Climate vulnerability profile of IndiaLecture 3: Hazard versus disaster; Risk versus vulnerability

Week 2:
Lecture 4: Hydroclimatic measurements and data - rainfall, temperature, streamflow, wind, storm surge.Lecture 5: Geospatial data, Satellite-based data, reanalysis data, Radar measurements, altimetric dataLecture 6: Hands-on session: Downloading and processing gridded rainfall and temperature data
Module 2: Modelling Flood Hazards
Week 3:
Lecture 7: Floods – types & characteristics, Causes & drivers of floodsLecture 8: Deriving flood time series, Trend analysis, Flood frequency analysis - plotting positionLecture 9: Hands-on session: Trends in flood characteristics
Week 4:
Lecture 10: Flood frequency analysis - distribution fitting and return period estimationLecture 11: Compound and concurrent floods, Bivariate flood frequency analysis using CopulaLecture 12: Hands-on session: Univariate and bivariate flood risk assessment
Week 5:
Lecture 13: Flood mitigation measures – structural & non-structuralLecture 14: Flood hazard and risk mapping, Flood management using geospatial data, Impact of cyclones and tropical storms
Module 3: Drought Estimation & Mitigation
Week 6:
Lecture 15: Droughts – types & characteristics, Drought history of IndiaLecture 16: Estimation of drought indices – SPI, SPEI, RAI, etc.Lecture 17: Hands-on session: Computation of drought indices
Week 7:
Lecture 18: Drought estimation, Drought severity and vulnerabilityLecture 19: Drought mitigation through nature-based solutions and related case studiesLecture 20: Hands-on session: Vulnerability mapping of droughtprone areas
Module 4: Heat waves, Cold waves and their compound effects
Week 8:
Lecture 21: Heat waves – definition, criteria, causes & driversLecture 22: Estimation of heat stress, Heat stress mitigation, Urban Heat Island effect
Lecture 23: Hands-on session: Analyze temperature data to identify heatwave events and heat stress
Week 9:
Lecture 24: Cold waves – definition, criteria, causes & driversLecture 25: Compound extreme events: compound hot-dry, hot-wet, cold-dry, and cold-wet eventsLecture 26: Heat wave and cold wave mitigation approaches through case studies
Module 5: Disaster Mitigation Framework & Approaches
Week 10:
Lecture 27: Science meets policy, Disaster mitigationLecture 28: Disaster risk reduction under SDGs, Economics of disastersLecture 29: Study of various disaster management frameworks: Hyogo framework for action, the Sendai framework, and others.
Week 11:
Lecture 30: Emergency and humanitarian responseLecture 31: Role of National Disaster Management Authority (NDMA) and other regional authorities.Lecture 32: The Disaster Management Act 2005 (India) and the way forward.
Module 6: Emerging Areas & Future Direction
Week 12:

Lecture 33: Role of Big data in climate and disaster modelling, Early warning systemsLecture 34: Role of climate change in modulating future occurrences of climate hazardsLecture 35: Integrated disaster management framework, Discussion on policy measures for disaster risk reduction