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The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current conditions and future SLR scenarios, and in many locations, there are additional products for long-term shoreline change, cliff retreat, and groundwater hazards.  Resulting projections for future climate scenarios (sea-level rise and storms) provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety and mitigate physical damages to reduce risk, and more effectively manage and allocate resources to increase resilience in response to a changing climate...
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Remote-sensing technologies—such as video imagery, aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)— can be used to measure change along U.S. coastlines. Quantifying coastal change is essential for calculating trends in erosion and accretion, evaluating processes that shape coastal landscapes, and predicting how the coast will respond to future natural disasters (e.g. hurricanes, landslides, wildfires) and longer term climate trends such (e.g. sea-level rise, ecosystem change, coral bleaching), all critical for U.S. coastal communities. Rapid developments have occurred in remote-sensing technologies during the 21st century. With collaborators...


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