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Filters: Tags: Extreme Weather (X) > Types: OGC WMS Service (X)

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This data contains maximum depth of flooding (cm) in the region landward of the present-day shoreline for the sea-level rise (SLR) and storm condition indicated. 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 and future sea-level rise (SLR) scenarios. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate bridge. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average...
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This dataset consists of physics-based Delft3D-FLOW and WAVE hydrodynamic models input files used for Coastal Storm Modeling System (CoSMoS) tier 2 simulations. These sub-regional simulations cover portions of the Northern California open-coast region; boundary conditions are derived from regional Tier 1 simulations. These Simulations are run for several storm events (covering a range of no storm, 1-year, 20-year, and 100-year coastal storm conditions) and sea-level rise (SLR) scenarios.
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Extreme events not only affect people but can have detrimental impacts on natural resources, such as fish and freshwater habitats. Impacts of extreme events, like hurricanes, tornadoes, and extreme flooding, have immediate consequences, but also have the ability to alter habitats and animals far in the future by providing opportunities for exotic species to colonize new areas. Some fish communities in streams, rivers, and lakes may have the natural ability to resist the long-term impacts of extreme weather events. In this project, researchers will investigate the ability of Caribbean fish assemblages in Puerto Rico, which have both economic and cultural importance, to resist the impacts of extreme weather events....