Advancing Global-to-Local Modeling Frameworks to Improve Management of Hydrologic Extremes

Session ID#: 282237

Session Description:
Hydrologic hazards like droughts and floods are caused by complex interactions between physical processes occurring across a range of temporal and spatial scales in the atmospheric, oceanic, and terrestrial systems. Effective planning for hydrologic extremes requires knowledge of the multiscale drivers causing these hazards and how their impacts manifest at local (e.g., community or watershed) scales. This session invites presentations on advancements in global-to-local modeling frameworks that improve our understanding of the drivers and impacts of hydrologic hazard events across scales to support adaptation planning and hazard mitigation. Topics of interest include novel process-based and data-driven approaches for downscaling earth system model outputs, ensemble modeling for uncertainty quantification, and identification of large-scale phenomena that drive compound hazard events. Presentations that showcase how earth system model data has been integrated into local or regional decision-making processes for water management, infrastructure resilience, and/or adaptation planning are also encouraged.
Co-Sponsor(s):
  • H - Hydrology
Index Terms:

1622 Earth system modeling [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
1817 Extreme events [HYDROLOGY]
6309 Decision making under uncertainty [POLICY SCIENCES & PUBLIC ISSUES]
Primary Convener:  Michelle Hummel, University of Texas at Arlington, Arlington, TX, United States
Conveners:  Adnan Rajib, University of Texas at Arlington, H2I Lab, Department of Civil Engineering, Arlington, United States and Hua Zhang, Texas A&M University Corpus Christi, College of Engineering and Computer Science, Corpus Christi, United States
Student/Early Career Convener:  Shihab Hossain Saran, University of Texas at Arlington, Arlington, United States