OS002
Advances in Flood Prediction and Risk Assessment in Coastal, Inland, and Transition Zones
Session ID#: 248058
Session Description:
This session addresses the growing need for accurate short-term predictions and long-term risk assessment of storm-related coastal hazards, including surges, waves, and tides, as well as insights from inland hydrology and baroclinic coupling. It invites studies on four key topics: 1) innovative methods integrating machine learning / artificial intelligence, cloud computing, geospatial tools, and open-source platforms for enhanced storm surge modeling and compound flood prediction; 2) assessing the impact of factors such as urbanization, and land cover scenarios, along with quantifying related uncertainties in compound flooding; 3) applying computational and mathematical techniques to analyze and mitigate uncertainties in flood prediction; and 4) evaluating socio-economic impacts on coastal communities and economic infrastructure. The goal is to improve coastal flood assessment methods through collaboration among researchers and practitioners, aiming to enhance our understanding of coastal flood hazards and their broader impacts.
Co-Sponsor(s):
Index Terms:
1821 Floods [HYDROLOGY]
1906 Computational models, algorithms [INFORMATICS]
4315 Monitoring, forecasting, prediction [NATURAL HAZARDS]
4534 Hydrodynamic modeling [OCEANOGRAPHY: PHYSICAL]
Primary Convener: Fariborz Daneshvar, Coast Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, United States
Conveners: Albert Cerrone, University of Notre Dame, Civil & Environmental Engineering & Earth Sciences, Notre Dame, IN, United States, William Pringle, Environmental Science Division, Argonne National Laboratory, Lemont, IL, United States and Saeed Moghimi, Coast Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, United States
Student/Early Career Convener: Atieh Alipour, Coast Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, United States
Modeling Global Oceans: Sensitivity to Physical Processes and Atmospheric Forcing (1869985)
Aman Tejaswi1, Albert Cerrone1, Damrongsak Wirasaet2 and Joannes J Westerink3, (1)University of Notre Dame, Civil & Environmental Engineering & Earth Sciences, Notre Dame, IN, United States, (2)University of Notre Dame, Notre Dame, IN, United States, (3)Univ Notre Dame, Notre Dame, IN, United States
Large-scale Drivers and Properties of Storms leading to Coastal Flooding in North East coast of the United States (1899994)
Pierre Chabert, Brown University, Providence, RI, United States, Prof. Emanuele Di Lorenzo, PhD, Brown University, Earth, Environmental, and Planetary Sciences, Providence, United States, Baylor Fox-Kemper, Brown University, Department of Earth, Environmental and Planetary Sciences, Providence, United States and James M Pringle, University of New Hampshire Main Campus, Durham, NH, United States
A Coupled Coastal–Inland Modeling Framework with AI-Enhanced River Inputs (1900347)
Siqi Li1, Changsheng Chen1, Alexander A Proussevitch2, Qichun Xu1, Lu Wang1, Tom Shyka3 and Tej Sai Kakumanu4, (1)University of Massachusetts Dartmouth, School for Marine Science and Technology, New Bedford, United States, (2)University of New Hampshire, Earth Systems Research Center, Durham, United States, (3)Northeastern Regional Association of Coastal and Ocean Observing Systems, Rye, NH, United States, (4)University of Massachusetts Dartmouth, College of Engineering, North Dartmouth, United States
Spatiotemporal Graph Neural Network-Based Surrogate for Compound Flood Forecasting (1903476)
Zanko Zandsalimi1, Majid Shafiee-Jood2 and Negin Alemazkoor1, (1)University of Virginia, Department of Civil and Environmental Engineering, Charlottesville, VA, United States, (2)University of Virginia, Civil and Environmental Engineering, Charlottesville, United States
Impact of Wave-Current Interaction on Storm Surge Simulation for Hurricane Ian (1916809)
Sieu Cuong San1, Yonggang Liu2, Sebin John2, Haibo Xu3 and Kaili Qiao2, (1)University of South Florida St. Petersburg, St Petersburg, FL, United States, (2)University of South Florida, College of Marine Science, St. Petersburg, United States, (3)University of Puerto Rico Mayaguez, Caribbean Coastal Ocean Observing System, Mayaguez, United States
Impacts of Bathymetric Uncertainties on Storm Surge Inundation Extents and People Exposure in Coastal Lagoon Systems (1916965)
Zaid Al-Attabi, East Carolina University, Department of Coastal Studies, Greenville, NC, United States, Siddharth Narayan, East Carolina University, Greenville, NC, United States, Anthony Campbell, NASA Goddard Space Flight Center, Greenbelt, United States, Ananth Wuppukondur, East Carolina University, Integrated Coastal Programs, Greenville, United States, Daystar Babanawo, East Carolina University, Integrated Coastal Programs, Greenville, NC, United States, Nathan Marc Thomas, University of Maryland, College Park, United States, Yicheng Xu, East Carolina University, Greenville, United States, David Lagomasino, East Carolina University, Department of Coastal Studies, Greenville, United States and Temilola Fatoyinbo, NASA Goddard Space Fight Center, Greenbelt, United States
Probabilistic Prediction of Tropical Cyclone Driven Coastal Flood Extent and Timing (1920982)
Fariborz Daneshvar1, William Pringle2, Soroosh Mani1, Atieh Alipour1, Edward Payson Myers III1 and Saeed Moghimi1, (1)Coast Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, United States, (2)Environmental Science Division, Argonne National Laboratory, Lemont, IL, United States
Introducing NeurOCAST: A Neural Operator-Based Model for Bias Correction in Forecast Guidance (1923064)
Atieh Alipour, NOAA National Ocean Service, Silver Spring, MD, United States and Fariborz Daneshvar, Soroosh Mani , Gregory Seroka, Lei Shi, Zizang Yang, Yuji Funakoshi, Georgios Britzolakis, Edward Payson Myers, Kamyar Azizzadenesheli, Saeed Moghimi
Sensitivity Analyses of a 2D Rain-on-Grid Hydrodynamic Model for Simulating Extreme Compound Coastal Flood Events (1926624)
Husnain Tansar1,2, Samiul Kaiser1,2, Ebrahim Ahmadisharaf1,2, Behzad Nazari3 and Gillian Londa1,2, (1)Florida A&M University-Florida State University College of Engineering, Tallahassee, United States, (2)Resilient Infrastructure and Disaster Response Center, FAMU-FSU College of Engineering, Tallahassee, United States, (3)Halff, Houston, Texas, United States
Automated Mesh Generation for Cross-Scale Compound Flood Modeling: Applications in STOFS-3D-Atlantic (Invited) (1933205)
Fei Ye1, Felicio Cassalho2, Hyung Ju Yoo3, Yinglong J Zhang3, HaoCheng Yu1, Soroosh Mani4, Zizang Yang4, Fariborz Daneshvar5, Gregory N Seroka4, Saeed Moghimi6 and Edward Payson Myers III7, (1)Virginia Institute of Marine Science, Gloucester Point, VA, United States, (2)NOAA National Ocean Service, Center for Operational Oceanographic Products and Services (CO-OPS), Silver Spring, United States, (3)Virginia Institute of Marine Science, Gloucester Point, United States, (4)Coast Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, United States, (5)NOAA National Ocean Service, West Lafayette, United States, (6)NOAA, Silver Spring, United States, (7)NOAA/NOS/OCS, Silver Spring, United States
The Role of Tide and Storm Surge Properties on the Timing, Magnitude, and Duration of Coastal Flooding Events (1940017)
Md. Shamsudduha Sami, University of Florida, Department of Geography, Gainesville, United States, Katherine Serafin, University of Florida, Department of Geography, Ft Walton Beach, FL, United States and Stefan A Talke, California Polytechnic State University, Department of Civil and Environmental Engineering, San Luis Obispo, California, United States
Advancing Global Coastal Hazard Assessment Through non-stationary Multivariate Extreme Value Analysis (1943773)
Lorenzo Mentaschi1,2, Ivan Federico3, Mohammad Hadi Bahmanpour4, Archit Shirish Wadalkar4, Michalis Ioannis Vousdoukas5, Salvatore Causio3, Giovanni Coppini1 and Nadia Pinardi4, (1)CMCC Foundation - Euro-Mediterranean Center on Climate Change, Bologna, Italy, (2)University of Bologna, Department of Physics and Astronomy Augusto Righi, Bologna, Italy, (3)CMCC Foundation - Euro-Mediterranean Center on Climate Change, GOCO Division, Lecce, Italy, (4)University of Bologna, Department of Physics and Astronomy, Bologna, Italy, (5)University of the Aegean, Mytilene, Greece
Enhanced Cumulative Likelihood of Potential Impacts using synthetic tropical cyclones for coastal flooding, a case study applied to Mobile, Alabama (1947464)
Javier Robles Camacho1, Christopher Massey2, Soheil Radfar3, Hamed Moftakhari3 and Hamid Moradkhani3, (1)University of Alabama, Tuscaloosa, AL, United States, (2)U.S. Army Engineer Research and Development Center (ERDC), Coastal & Hydraulics Laboratory, Vicksburg, United States, (3)The University of Alabama, Center for Complex Hydrosystems Research, Tuscaloosa, United States
Remote Sensing of Flood Dynamics in Salt Marshes in Sea Level and Davis, NC (1962315)
Alayna Smith, University of North Carolina at Chapel Hill, Department of Earth, Marine and Environmental Sciences, Chapel Hill, NC, United States, Tamlin Pavelsky, University of North Carolina at Chapel Hill, Earth, Marine and Environmental Sciences, Chapel Hill, United States and Chao Wang, University of North Carolina at Chapel Hill, Department of Geography and Environment, Chapel Hill, United States
Wave Height Hindcasting and Extreme Return Level Estimation via Attention-Based Ensembles (1963991)
Zheng Ren1, Nalini Ravishanker2, Marc De Vos1, Namitha Pais2 and James O'Donnell1, (1)University of Connecticut, Department of Marine Sciences, Groton, United States, (2)University of Connecticut, Department of Statistics, Storrs, United States
Streamlining a Grid Refinement Approach Based on Offshore and Coastal Bathymetric Features to Improve Storm Surge Inundation Modeling (1967961)
Shashank Vagamare Ganapati1, Zaid Al-Attabi2, Siddharth Narayan1 and David Lagomasino3, (1)East Carolina University, Greenville, NC, United States, (2)East Carolina University, Department of Coastal Studies, Greenville, NC, United States, (3)East Carolina University, Department of Coastal Studies, Greenville, United States
A Performance Assessment of STOFS 2D Global using Direct Lunar-Solar Traction Forcing and In-Line Self Attraction and Loading Terms (Invited) (1968559)
Joannes J Westerink1, Damrongsak Wirasaet2, Albert Cerrone3, Aman Tejaswi3, Steven R Brus4, Edward Payson Myers III5, Saeed Moghimi6, Gregory N Seroka7, Yuji Funakoshi8, Liujuan Tang9, Christopher Massey10 and Margaret B Owensby11, (1)Univ Notre Dame, Notre Dame, IN, United States, (2)University of Notre Dame, Notre Dame, IN, United States, (3)University of Notre Dame, Civil & Environmental Engineering & Earth Sciences, Notre Dame, IN, United States, (4)Argonne National Laboratory, Lemont, United States, (5)NOAA/NOS/OCS, Silver Spring, United States, (6)NOAA, Silver Spring, United States, (7)Coast Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, United States, (8)University Corporation for Atmospheric Research, Boulder, United States, (9)PMEL/NCTR, Seattle, United States, (10)U.S. Army Engineer Research and Development Center (ERDC), Coastal & Hydraulics Laboratory, Vicksburg, United States, (11)US Army Engineer Research and Development Center, Coastal & Hydraulics Laboratory, Vicksburg, United States
Skill Assessment of NOAA Storm Surge Models During 2024 Hurricanes (1973492)
James Edward Jack Reeves Eyre1,2, Atieh Alipour2, Saeed Moghimi3, Thomas Saillour4, Panagiotis Mavrogiorgos5, Gregory N Seroka2, Felicio Cassalho6, Soroosh Mani2, Fariborz Daneshvar7, Lei Shi8, Yuji Funakoshi9 and Zizang Yang2, (1)Earth Resources Technology Inc, Laurel, MD, United States, (2)Coast Survey Development Laboratory, National Ocean Service, NOAA, Silver Spring, United States, (3)NOAA, Silver Spring, United States, (4)EU JRC, Sicily, Italy, (5)EU JRC, Athens, Greece, (6)NOAA National Ocean Service, Center for Operational Oceanographic Products and Services (CO-OPS), Silver Spring, United States, (7)NOAA National Ocean Service, West Lafayette, United States, (8)NOAA NOS/OCS/CSDL/MMAP, Silver Spring, United States, (9)University Corporation for Atmospheric Research, Boulder, United States
A subgrid scale parameterization for resolving coastal flooding in the Energy Exascale Earth System Model (1974904)
Steven Brus, Argonne National Laboratory, Argonne, IL, United States, Damrongsak Wirasaet, University of Notre Dame, Notre Dame, IN, United States, Coleman Blakely, University of Notre Dame, CEEES, Notre Dame, United States, Mary Titterton, Argonne National Laboratory, Argonne, United States, Mark R Petersen, Los Alamos National Laboratory, Los Alamos, United States, Darren Engwirda, Los Alamos National Laboratory, New York City, United States and Joannes J Westerink, Univ Notre Dame, Notre Dame, IN, United States
Dimensionality Reduction and Error Characterization in Storm Surge Surrogates for Probabilistic Hazard Assessment (1976646)
Constantinos Frantzis, University of Maryland College Park, College Park, MD, United States, Jennifer L Irish, Virginia Polytechnic Institute and State University, Department of Civil and Environmental Engineering, Center for Coastal Studies, Blacksburg, United States, Yang Shao, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States, Michelle Bensi, University of Maryland College Park, Department of Civil and Environmental Engineering, College Park, United States and Meredith Carr, U.S. Army Engineer R&D Center, Coastal & Hydraulics Laboratory (ERDC-CHL), Vicksburg, United States
Variable resolution spatial mode-splitting in MPAS-Ocean (1977182)
Coleman Blakely1, Steven R Brus2, Vijay Mahadevan3 and Iulian Grindeanu3, (1)Argonne National Laboratory, Argonne, IL, United States, (2)Argonne National Laboratory, Lemont, United States, (3)Argonne National Laboratory, Chicago, United States
Hybrid Machine Learning Emulation of Coastal Flooding: Mesh-Wide Water Level Prediction and Wet/Dry Classification Using GPU Acceleration (1978693)
Sunghoon Han, Oregon State University, School of Civil and Construction Engineering, Corvallis, OR, United States, David Hill, Oregon State University, School of Civil & Construction Engineering, Corvallis, United States, Carter Howe, Oregon State University, School of Civil and Consruction Engineering, Corvallis, United States, David Honegger, US Army Corps of Engineers, Fort Wainwright, United States, Carson Williams, Oregon State University, College of Earth, Ocean, and Atmospheric Science, Corvallis, OR, United States, Peter Ruggiero, Oregon State University, College of Earth, Ocean, and Atmospheric Sciences, Corvallis, United States and Merrick C Haller, Oregon State University, Civil and Construction Engineering, Corvallis, OR, United States
Relative composition of nuisance flooding by astronomic tides, meteorology, oceanographic currents and stochastic residuals (1989495)
Peter Bacopoulos, Organization Not Listed, Washington, DC, United States, Taofiq Yusuf, Louisiana State University, Baton Rouge, LA, United States and Matthew W Brand, Louisiana State University, Civil Engineering, Baton Rouge, United States
Demonstrating the Next-Generation Great Lakes Operational Forecasting System (1993799)
Melissa Mattwig1, David Cannon2, Brooke Odstrchel3, Dan Titze4, Yi Hong2 and Jesse C Feyen5, (1)Cooperative Institute for Great Lakes Research (CIGLR) University of Michigan, Ann Arbor, Michigan, UNITED STATES, (2)Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, United States, (3)University of Michigan, Cooperative Institute for Great Lakes Research, Ann Arbor, United States, (4)NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, United States, (5)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States
