2024 CSDMS meeting-054
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"5) Communicating convergent heterogeneous themes in your research" is not in the list (1) Fora.ai: A participatory modeling platform to reshape how we collaborate for climate and social impact, 2) Introduction & Building with Google Earth Engine: Batteries Included, 3) Parameterizing human dynamics in geomorphic models: learning from coastal barrier evolution models, 4) Coupling biological and surface processes in landscape evolution models, 5) Will not attend a clinic this day) of allowed values for the "CSDMS meeting select clinics2 2024" property.
Browse abstracts
On the impact of coastline anthropogenic geomorphological alterations on flood hazards and upscaling potential for coupled systems.
Additionally, an upscaling methodology based on porosity is presented for an urban flood simulation in Santiago de Chile, adjacent to the Andean foothills. In this model, topographic information is included at the subgrid-level to optimize CPU time at the cost of some loss in the accuracy of the results. We analyze how accuracy is affected by gradually increasing grid resolution, specifically when estimating flood extent and associated hazards. Results suggest that the cell size can be increased up to the street width, capturing the main flow paths and hazards while significantly reducing the CPU time employed by classical models.
The integration of an upscaling scheme to model concentrated flows coupled with surface dynamics is particularly valuable for comprehensively assessing flood hazards, meeting real-time decision-making needs.