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Session Proposal: Interdisciplinary Advances in Catastrophe Modeling and Disaster Resilience: Bridging Science, Policy, and Practice (AGU25)

NH026
Interdisciplinary Advances in Catastrophe Modeling and Disaster Resilience: Bridging Science, Policy, and Practice

Session ID#: 249693

Session Description:
Climate change and growing exposure drive increases in the frequency and impact of natural hazards, emphasizing the need for accurate, ethical, and actionable catastrophe models. This session seeks to foster a deeper understanding of how catastrophe models can inform decision-making and enhance resilience at multiple scales, emphasizing interdisciplinary approaches that integrate geophysical, hydrological, and socio-technical systems. We invite contributions that develop or apply rigorous modeling or data analysis techniques to assess hazard frequency, exposure, vulnerability, and cascading impacts. Relevant methodologies include probabilistic hazard and risk modeling, multi-hazard frameworks, stochastic simulations, high-resolution numerical models, hazard assessments at multiple spatial scales, and machine learning applications grounded in physical process understanding. Submissions that explore ethical, equity, and policy-relevant dimensions of catastrophe modeling, especially when grounded in robust and open scientific methods, are particularly encouraged. This includes work on insurance equity, infrastructure resilience, risk communication, and community-based approaches to resilience metrics.
Co-Sponsor(s):
  • GC - Global Environmental Change
  • SY - Science and Society
Index Terms:

4306 Multihazards [NATURAL HAZARDS]
4312 Catastrophe and catastrophe theory [NATURAL HAZARDS]
4313 Extreme events [NATURAL HAZARDS]
Primary Convener:  Benjamin S Felzer, Lehigh University, Bethlehem, PA, United States
Conveners:  James Doss-Gollin, Rice University, Department of Civil and Environmental Engineering, Houston, TX, United States, Yi-Chen Ethan Yang, Lehigh University, Civil and Environmental Engineering, Bethlehem, PA, United States and Avantika Gori, Rice University, Civil and Environmental Engineering, Houston, United States
 
Modeling Household Adaptation to Climate Extremes Using Agent-Based Simulations for Floods and Droughts (1858567)
Meraj Sohrabi, Lehigh University, Civil, Construction, and Environmental Engineering, Bethlehem, United States, Yi-Chen Ethan Yang, Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, United States, Husamettin Taysi, Lehigh University, Civil and Environmental Engineering, Bethlehem, PA, United States and Wenyu Chiou, Lehigh University, Bethlehem, PA, United States
 
Evidence of increasing storm intensity, duration and frequency derived from a novel CONUS-wide database of severe convective storms defined by their discrete space time footprints (1859223)
Hunter Carey Quintal, University of North Carolina at Chapel Hill, Department of Earth, Marine and Environmental Sciences, Chapel Hill, NC, United States, Antonia Sebastian, University of North Carolina at Chapel Hill, Department of Earth, Marine, and Environmental Sciences, Chapel Hill, NC, United States, Greg Tierney, North Carolina State Climate Office, Raleigh, United States, Marc L Serre, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States and Kathie Dello, State Climate Office of North Carolina, Raleigh, United States
 
Global Tropical Cyclone Landfalls (1990-2024): Interannual Drivers and Trends (Invited) (1860927)
Philip Klotzbach, Colorado State University, Fort Collins, United States, Christopher Allen, Gallagher Re, The Walbrook Building, London, United Kingdom, Michael M Bell, Colorado State University, Department of Atmospheric Science, Fort Collins, United States, Nadia Bloemendaal, Vrije Universiteit Amsterdam, Amsterdam, Netherlands, Steven G Bowen, Gallagher Re, Rolling Meadows, IL, United States, Savin Chand, Federation University, Ballarat, Australia, Mona Hemmati, Gallagher Re, New York, United States, Christina M Patricola, Iowa State University, Department of the Earth, Atmosphere, and Climate, Ames, United States, Marie Ekström, Gallagher Re, London, United Kingdom, Hamish Ramsay, CSIRO, Aspendale, Australia, Carl J Schreck III, North Carolina State University, North Carolina Institute for Climate Studies (NCICS), Asheville, NC, United States, Levi Glenn Silvers, Max Planck Institute for Meteorology, Hamburg, Germany and Kimberly Wood, University of Arizona, Tucson, United States
 
Exploring Policy Impacts on Nature-Based Stormwater Management Through Coupled Agent-Based Modeling (1863321)
Qiaochu Sun, Lehigh University, Civil and Environmental Engineering, Bethlehem, United States, Shrouq Abuismail, Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, United States and Yi-Chen Ethan Yang, Lehigh University, Civil and Environmental Engineering, Bethlehem, PA, United States
 
Modeling Long-Term Flood Adaptation Action Across Marginalized and Non-Marginalized Groups: A Coupled Agent-Based Model (1890827)
Wenyu Chiou1, Yi-Chen Ethan Yang2, Tomohiro Tanaka3, Sarawut Jamrussri3 and Shi Feng3, (1)Lehigh University, Bethlehem, PA, United States, (2)Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, United States, (3)Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan
 
Utilizing Neural Differential Equations to Identify Flood-Induced Tipping Points within Urban Environments (1898809)
Parin Bhaduri1, James Koch2, Brent Daniel2 and Vivek Srikrishnan3, (1)Cornell University, Biological & Environmental Engineering, Ithaca, NY, United States, (2)Pacific Northwest National Laboratory, Richland, United States, (3)Cornell University, Ithaca, NY, United States
 
Stochastic Storm Transposition (SST) for Flood Hazard and Risk Modeling at Multiple Spatial Scales (1903451)
Marissa Webber, University of North Carolina at Chapel Hill, Earth, Marine, and Environmental Sciences, Chapel Hill, NC, United States, Antonia Sebastian, University of North Carolina at Chapel Hill, Department of Earth, Marine, and Environmental Sciences, Chapel Hill, NC, United States, Benjamin FitzGerald, University of Wisconsin-Madison, Civil and Environmental Engineering, Madison, United States, Daniel B Wright, University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, United States, Lei Yan, University of Wisconsin Madison, Madison, United States, David Rosa, FEMA Engineering Resources Branch, Washington, United States, William Lehman, U.S. Army Corps of Engineers, West Sacramento, United States and Gregory S. Karlovits, U.S. Army Corps of Engineers Hydrologic Engineering Center, Davis, United States
 
Improving Catastrophic Flood Modeling in Data-Scarce Catchments Using IoT and Machine Learning (1911256)
Shrouq Abuismail1, Xiyuan Zhu2 and Yi-Chen Ethan Yang1, (1)Department of Civil and Environmental Engineering, Lehigh University, Bethlehem, United States, (2)Department of Electrical Engineering, Lehigh University, Bethlehem, United States
 
Integrated Exposure Analysis: Population versus Buildings in Flood Insurance Claims (1913499)
Konstantinos Karagiorgos, Karlstad University, Risk and Environmental Studies, Karlstad, Sweden; Centre of Natural Hazards and Disaster Science (CNDS), Uppsala, Sweden
 
Quantifying Risk Propagation in Interdependent Infrastructure: Integrating Institutional Grammar, STAMP, and Bayesian Networks (1927472)
Sukrati Gautam1,2, David J. Yu2,3, Jeryang Park4, Hoon C, Shin2,5, Qingchun Li6,7, Daniel Eisenberg8, Changdeok Gim9, Samuel Park2 and Yan Cong10, (1)Purdue University, Ecological Sciences and Engineering, West Lafayette, United States, (2)Purdue University, Lyles School of Civil Engineering, West Lafayette, United States, (3)Purdue University, Department of Political Science, West Lafayette, United States, (4)Hongik University, Department of Civil and Environmental Engineering, Seoul, South Korea, (5)POSTECH Pohang University of Science, Division of Humanities and Social Sciences, Pohang, South Korea, (6)Institute of Urban Meteorology, Beijing, China, (7)Purdue University, School of Construction Management Technology, West Lafayette, United States, (8)Naval Postgraduate School, Department of Operations Research, Monterey, United States, (9)The State University of New York, Korea, Department of Technology and Society, Incheon, South Korea, (10)Purdue University, School of Languages and Cultures, West Lafayette, United States
 
Identifying Structural Holes in Institutional Networks for Flood Resilience: A Case Study of Urban Flood Risk Management in South Korea (1942813)
Samuel Park, Hongik University, Seoul, South Korea, Eungyeol Heo, Hongik University, Seoul, Korea, Republic of (South) and Jeryang Park, Hongik University, Department of Civil and Environmental Engineering, Seoul, South Korea
 
An Agent-Based Catastrophe Model Driven by 2-D Hydrodynamic Flood Simulation for Risk Analysis (1942894)
Husamettin Taysi1, Yi-Chen Ethan Yang1, Brian Davison2, Paolo Bocchini3 and Meraj Sohrabi3, (1)Lehigh University, Civil and Environmental Engineering, Bethlehem, PA, United States, (2)Lehigh University, Department of Computer Science and Engineering, Bethlehem, United States, (3)Lehigh University, Civil and Environmental Engineering, Bethlehem, United States
 
Leveraging Post-Earthquake Data and Machine Learning to Advance Rapid Damage Assessment and Resilience Planning (1959718)
Marc-Ansy Laguerre, Rice University, Houston, TX, United States and Kalil Erazo, Rice University, Civil and Environmental Engineering, Houston, United States
 
Modeling Catastrophe Risks in a Changing Climate: Gaps and Opportunities (1963442)
Mona Hemmati, Gallagher Re, New York City, United States
 
An Attention-Based Stochastic Simulator for Nonstationary Multisite, Multivariate Extremes to Evaluate Climate-Conditional, Cascading Flood Risk (1964704)
Adam Nayak1, Pierre Gentine2 and Upmanu Lall1, (1)Columbia University, Earth and Environmental Engineering, New York, United States, (2)Columbia University, Department of Earth and Environmental Engineering, New York, United States
 
Social Vulnerability and Wind Risk Reduction through Enhanced Building Codes in Louisiana (1968174)
Nehal Mahmud Khan1, Ayat Salah Al Assi2, Kevin Smiley3, Naduni Jayasinghe3 and Rubayet Bin Mostafiz4, (1)Louisiana State University, Baton Rouge, Louisiana, UNITED STATES, (2)Louisiana State University Agricultural Center, Biological and Agricultural Engineering-LaHouse Research & Education Center, Baton Rouge, United States, (3)Louisiana State University, Sociology, Baton Rouge, United States, (4)Louisiana State University Agricultural Center, Biological and Agricultural Engineering, LaHouse Research and Education Center, Baton Rouge, United States
 
Scaling Parametric Flood Insurance in the US and Globally with Deep Learning, Data Fusion, and Rapid Quoting (1971058)
Mitchell Thomas1, Subit Chakrabarti1, Colin Doyle1, Beth Tellman1,2, Victor Bouton3 and Amaury Alloyer3, (1)Floodbase, Brooklyn, United States, (2)University of Wisconsin Madison, Center for Sustainability and the Global Environment (SAGE), Nelson Institute for Environmental Studies, Madison, United States, (3)Liberty Mutual Reinsurance, Paris, France
 
Simulating Power Restoration Dynamics for Future Tropical Storm Scenarios: An Agent-Based Approach (1981441)
Chirag Mehta, University of Connecticut, Civil and Environmental Engineering, Groton, CT, United States and Diego Cerrai, University of Connecticut, School of Civil and Environmental Engineering, Storrs, United States
 
Integrating Financial Risk Assessment and Management into Catastrophe Modeling (Invited) (1991165)
Gregory W Characklis, University of North Carolina at Chapel Hill, Institute for Risk Management and Insurance Innovation, Chapel Hill, United States
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