NH011
Compound Climate Events: Accelerating Hypothesis-Driven Science through Dataset Development and Analysis Techniques
Session ID#: 250718
Session Description:
Compound climate-related events (CCE) arise when climate or weather drivers and/or hazards interact, either concurrently or sequentially, to amplify societal and environmental impacts. Despite their growing relevance under a changing climate, no dedicated datasets currently exist, limiting our ability to test hypotheses about their causes and consequences. This session will present methodological advances and case studies to explore: *Data needs and progress in identifying, cataloguing, and characterizing CCE. *Machine learning and AI methods for extracting CCE information from observations, models, reanalysis, and literature. *Causal inference techniques to examine how interactions among drivers (e.g., precipitation, wind, soil moisture) generate extreme hazards.* Statistical and physical frameworks for assessing and quantifying impacts.*Implications for forecasting and risk assessment, including integration into early-warning systems and adaptation planning. By convening multidisciplinary scientists, we aim to accelerate the development of open, interoperable CCE databases and to refine the statistical and physical frameworks needed for robust hypothesis testing.
Co-Sponsor(s):
Index Terms:
4306 Multihazards [NATURAL HAZARDS]
4313 Extreme events [NATURAL HAZARDS]
4321 Climate impact [NATURAL HAZARDS]
4333 Disaster risk analysis and assessment [NATURAL HAZARDS]
Primary Convener: Leila Rahimi, PhD, Florida State University, Department of Civil and Environmental Engineering, Tallahassee, FL, United States
Conveners: Carlo De Michele, Politecnico di Milano, Department of Civil and Environmental Engineering, Milano, Italy, Flavio Lehner, Cornell University, Department of Earth and Atmospheric Sciences, Ithaca, NY, United States and Colin Raymond, University of California Los Angeles, Joint Institute for Regional Earth System Science and Engineering, Los Angeles, United States
The May 2023 Flood Events in Emilia-Romagna, Italy: A Compound-Event Perspective (1919781)
Carlo De Michele, Politecnico di Milano, Department of Civil and Environmental Engineering, Milano, Italy, Fabiola Banfi, Politecnico di Milano, Civil and Environmental Engineering, Milano, Italy, Maria Pia Russomando, Politecnico di Milano, Civil and Environmental Egineering, Milano, Italy and Fabiola Banfi: Politecnico di Milano, Department of Civil and Environmental Engineering
The Role of Soil Moisture and Rainfall Characteristics in Flash Flood (1947749)
Leila Rahimi, PhD, South Florida Water Management District, West Palm Beach, FL, United States, Matineh Imani Borhan, K.N. Toosi University of Technology, Civil and Environmental Engineering, Tehran, Iran and Amirhossein Mirdarsoltany, Leibniz University, Civil and Environmental Engineering, Hannover, Germany
Temporal Dynamics and Sequencing of Compound Drought Types (1952102)
Matineh Imani Borhan, K.N. Toosi University of Technology, Civil and Environmental Engineering, Tehran, Iran, Leila Rahimi, PhD, South Florida Water Management District, West Palm Beach, FL, United States and Amirhossein Mirdarsoltany, Leibniz University, Civil and Environmental Engineering, Hannover, Germany
An Integrated Framework Towards Strengthening Transportation Infrastructure Resilience to Compound Flooding Impacts (1968708)
Dev Anand Thakur1, Maiesha Nujhat1, Hamed Moftakhari1, Soheil Radfar1, Jun Liu2 and Hamid Moradkhani1, (1)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States, (2)University of Alabama, Department of Civil, Construction and Environmental Engineering, Tuscaloosa, United States
Multi-scale versus time scale-specific spatiotemporal dependency patterns among heavy rainfall events during the Indian summer monsoon revealed by complex network analysis (1972201)
Reik V Donner, Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany, Guruprem Bishnoi, Indian Institute of Technology (IIT) Delhi, Department of Civil Engineering, New Delhi, India; Magdeburg-Stendal University of Applied Sciences, Department of Water Environment, Construction and Safety, Magdeburg, Germany and C. T. Dhanya, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India
Assessing Future Compound Coastal Flooding Along the Pacific Coast of North America Using Multi-model Projections and Copula-Based Analysis (1975519)
Yasaman Taleghani, University of Western Ontario, Department of Civil and Environmental Engineering, London, ON, Canada, Mohammad Fereshtehpour, University of Western Ontario, Civil and Environmental Engineering, London, ON, Canada, Mohammad Reza Najafi, Western University, Department of Civil and Environmental Engineering, London, ON, Canada and Mercè Casas-Prat, Environment Canada, Toronto, Canada
Assessing Compound Coastal Flooding from Storm Surge and Precipitation Using Hydrodynamic Simulations and AI Surrogates (1999275)
Mohammad Reza Najafi1, Afshin Shaygani2, Yasaman Taleghani3, Mohammad Fereshtehpour1, Mercè Casas-Prat4 and Julien Cousineau5, (1)University of Western Ontario, Civil and Environmental Engineering, London, ON, Canada, (2)University of Western Ontario, Civil and Environmental Engineering, London, Canada, (3)University of Western Ontario, Department of Civil and Environmental Engineering, London, ON, Canada, (4)Environment Canada, Toronto, Canada, (5)National Research Council, Ottawa, Canada
