Session outline
| Atmospheric and Hydrospheric Sciences (A) | ||
|---|---|---|
| Session Sub-category | Hydrology & Water Environment(HW) | |
| Session ID | A-HW38 | |
| Title | Global Flooding in a Changing World: Trends, Drivers, and Major Open Questions | |
| Short Title | Global Flooding Trends and Drivers | |
| Main Convener | Name | Ben Livneh |
| Affiliation | University of Colorado Boulder | |
| Co-Convener 1 | Name | Shailendra K. Mandal |
| Affiliation | National Institute of Technology Patna, India | |
| Co-Convener 2 | Name | Hamid Moradkhani |
| Affiliation | University of Alabama | |
| Co-Convener 3 | Name | Myriam Benkirane |
| Affiliation | Mohammed VI Polytechnic University | |
| Co-Convener 4 | Name | Jeewanthi Sirisena |
| Affiliation | Climate Service Center Germany, Helmholtz-Zentrum Hereon | |
| Session Language |
E |
|
| Scope |
Rising global flood risk and its societal impacts are being driven by a complex interplay of factors including heavy precipitation, sea-level rise, population growth, and anthropogenic activities. Satellite evidence shows human exposure in flood-prone areas has risen markedly, underscoring the need to separate changes in hazard from exposure and vulnerability. While consensus on these general drivers is growing, critical research gaps limit our predictive capabilities and the development of effective and efficient adaptation strategies. This session confronts the major open questions in global flood science. Key themes include: 1) Attribution uncertainty: Quantifying the relative contributions of climate, land use, and socio-economic factors to flood trends. 2) Compound flooding: Understanding the interplay of causative mechanisms and modeling interactions between riverine, coastal, and pluvial flood drivers that amplify risks. 3) Vulnerability, risk and adaptation: Assessing how vulnerability and risk vary with socioeconomics, and the effectiveness of adaptation strategies. 4) Data gaps: Overcoming scarce flood records and limited data, particularly in the global south and in developing regions, by leveraging new satellite- and AI-supported flood mapping and risk analytics. Addressing these challenges requires a coordinated global effort. This session is inspired by the initiatives like the GEWEX Flood Crosscutting (CC) Initiative, which synthesizes flood research on a global scale. We encourage contributions that leverage open-data practices and benchmarking of global hydrologic/hydrodynamic models to identify opportunities for collaboration to advance our understanding of flood processes and its impacts. We invite contributions from all domains and knowledge partners, especially those that connect regional-scale processes to global flood dynamics and those seeking to develop international partnership |
|
| Presentation Format | Oral and Poster presentation | |
| Time | Presentation No | Title | Presenter |
|---|---|---|---|
| Oral Presentation May 27 AM1 | |||
| 9:00 - 9:15 | AHW38-01 | A global levee database constructed using digital elevation models and cloud computing | Do Ngoc Khanh |
| 9:15 - 9:30 | AHW38-02 | TRIC: A Tier-based Risk Index for Assessing and Ranking Urban Flood Risk Across India’s 100 Smart Cities Under Compound Extremes | Hrishikesh Singh |
| 9:30 - 9:45 | AHW38-03 | Efficient Urban Flood Simulation Using a Finite Volume Local Inertial Model: Application to Haidian Island | Weiqi Wang |
| 9:45 - 10:00 | AHW38-04 | Global Drivers and Temporal Trends in Embankment Dam Failures: Shifting from Structural Vulnerability to Climate-Induced Compound Extremes | Shivendra Jaiswal |
| 10:00 - 10:15 | AHW38-05 | Urban flood modeling considering open-channel drainage systems in data-scarce regions | Hyojin Lee |
| 10:15 - 10:30 | AHW38-06 | Advancing the Today’s Earth (TE) Global-to-Local Flood Early Warning System through Integrated Land–River Modeling at 0.1° Resolution | Kosuke Yamamoto |
| Presentation No | Title | Presenter |
|---|---|---|
| Poster Presentation May 27 PM3 | ||
| AHW38-P01 | Prediction of pluvial flood inundation using eXtreme Gradient Boosting model trained on hydraulic flood maps | Matej Vojtek |
| AHW38-P02 | A Unified AI Framework for Robust Multi-Task Water-Level Forecasting: Integrated Feature Engineering, Model Design, and Optimization | Jongho KIM |
| AHW38-P03 | Leveraging Subgrid Methods for a High-Fidelity Global-Scale Hydrodynamic Flood Inundation Modeling | Aman Tejaswi |
| AHW38-P04 | Uncertainty in WRF–WRF-Hydro Flood Simulation: Offline Physics Ensemble and Online Coupling Case Studies | NEGUSU TAREKEGN ENDALEW |
| AHW38-P05 | Analysis of Rainfall Duration Impact on the Occurrence of Urban Flooding | JAEHWI LIM |
| AHW38-P06 | A Resilience Framework for Evaluating the Performance and Stability of Flood Control Systems in Response to Urban Flooding | hosoo lee |
| AHW38-P07 | Pressure-Based Analysis of Inundation Occurrence and Delay Characteristics in Deep Urban Stormwater Storage Systems under Extreme Conditions | bogyeong choi |