Filters: Tags: Cliffs (X) > Categories: Data (X)

Filters Date Range Past year (2) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Community (2) Types Map Service (2) OGC WFS Layer (2) OGC WMS Layer (2) OGC WMS Service (2) Contacts Pacific Coastal and Marine Science Center U.S. Geological Survey Li Erikson Patrick Barnard Andrea O'Neill More... Tag Types Theme (3) Place (3) View Results as: JSON ATOM CSV

Coastal Storm Modeling System (CoSMoS) 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... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMG, CMGP, California, Cliffs, All tags... Climate Change, Coastal and Marine Geology, Erosion, Extreme Weather, Floods, Hazards Planning, Ocean Waves, Ocean Winds, PCMSC, Pacific Coastal and Marine Science Center, Sea-Level Rise, Storm Surge, Storms, U.S. Geological Survey, USGS, environmental justice, Fewer tags CoSMoS Northern California (3.2) projections of coastal cliff retreat due to 21st century sea-level rise This dataset contains projections coastal cliff retreat and associated uncertainty across Northern California for future scenarios of sea-level rise scenarios; scenarios include 25, 50, 75, 100, 125, 150, 175, 200, 250, 300, and 500 centimeters (cm) of SLR by the year 2100 and cover coastline from the Golden Gate Bridge to the California-Oregon state border. Present-day cliff-edge positions used as the baseline for projections are also included. Projections were made using numerical models and field observations such as historical cliff retreat rate, nearshore slope, coastal cliff height, and mean annual wave power, as part of Coastal Storm Modeling System (CoSMoS). See cited references and methods for more detail. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Climate change, ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, All tags... Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Northern California, Northern California Coast, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Sea-Level Rise, Sea-level change, State of California, Storm surge, Storms, USGS, Wind, cliffs, climate-change effects, waves, Fewer tags Remote Sensing Coastal Change 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... Categories: Data; Tags: Beaches, California, Cliffs, Erosion, Florida, All tags... Hazards Planning, Massachusetts, New York, North Carolina, Orthoimagery, Reefs, SfM, Storms, UAS, USGS, aerial photography, coastal processes, digital elevation models (DEMs), elevation, geomorphology, geospatial datasets, hurricanes, orthomosaic, remote sensing, structure from motion, Fewer tags