CoSMoS v3.1 water level projections: 1-year storm in Santa Cruz County

This data contains model-derived total water levels (in meters) 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 atmospheric conditions) and simulated...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Extreme weather, Floods, Hazards Planning, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Santa Cruz County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, climate-change effects, erosion, mathematical modeling, ocean waves, waves, wind, Fewer tags

CoSMoS v3.1 wave-hazard projections: average conditions in Santa Barbara County

This data contains maximum model-derived significant wave height (in meters) 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 atmospheric conditions)...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 ocean-currents hazards: 20-year storm in San Mateo County

This data contains maximum model-derived ocean currents (in meters per second) 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 atmospheric conditions)...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 water level projections: average conditions in Santa Barbara County

This data contains model-derived total water levels (in meters) 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 atmospheric conditions) and simulated...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 water level projections: 1-year storm in San Luis Obispo County

This data contains model-derived total water levels (in meters) 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 atmospheric conditions) and simulated...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 wave-hazard projections: 100-year storm in San Mateo County

This data contains maximum model-derived significant wave height (in meters) 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 atmospheric conditions)...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 flood depth and duration projections: 20-year storm in San Luis Obispo County

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...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 flood depth and duration projections: 1-year storm in Monterey County

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...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Extreme weather, Floods, Hazards Planning, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Santa Cruz County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, climate-change effects, erosion, mathematical modeling, ocean waves, waves, wind, Fewer tags

Photoelectric erosion pin (PEEP) data from Cumberland Island National Seashore (CUIS), May 2012 - May 2013

This dataset contains daily estimates of erosion for select time windows at four sites along the back barrier margin of Cumberland Island National Seashore (CUIS). The four locations selected for instrumentation are referenced by the name of the general area where they were located and are as follows: Brickhill Bluff (bb), Dungeness Wharf (dw), Plum Orchard (po), and Racoon Key (rk). Additionally, this dataset provides offsets that were used to correct the photo-electric erosion pin (PEEP) erosion values to those measured in the field. Using the offsets and magnitude of erosion between site visits, a running cumulative sum of erosion is also provided.

Categories: Data; Types: Citation; Tags: Camden County, Cumberland Island National Seashore, Georgia, barrier islands, coastal erosion, All tags... cumberland island, erosion pins, peep, Fewer tags

points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Assawoman Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Assawoman Island, Assawoman Island, Atlantic Ocean, Barrier Island, Bayesian Network, All tags... CMHRP, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Wallops Island, Wallops Island, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags

points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Fisherman Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMHRP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, Fisherman Island, Fisherman Island, Fisherman Island National Wildlife Refuge, Fisherman Island National Wildlife Refuge, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags

points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Edwin B. Forsythe NWR, NJ, 2013–2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...

Categories: Data; Types: Downloadable, GeoTIFF, Map Service, OGC WFS Layer, OGC WMS Layer, Raster, Shapefile; Tags: Atlantic Ocean, Barrier Island, Bayesian Network, CMGP, Coastal Erosion, All tags... Coastal Habitat, Coastal Hazards, Coastal and Marine Geology Program, Coastal processes, Edwin B. Forsythe NWR, Edwin B. Forsythe NWR, Erosion, GIS, Geographic Information Systems, Long Beach Island, Long Beach Island, MHW, Mean High Water, NJ, New Jersey, North America, Probability, Pullen Island, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, Fewer tags

CoSMoS v3.1 water level projections: 100-year storm in San Luis Obispo County

This data contains model-derived total water levels (in meters) 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 atmospheric conditions) and simulated...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 ocean-currents hazards: 20-year storm in San Luis Obispo County

This data contains maximum model-derived ocean currents (in meters per second) 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 atmospheric conditions)...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 water level projections: average conditions in San Mateo County

This data contains model-derived total water levels (in meters) 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 atmospheric conditions) and simulated...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 wave-hazard projections: 20-year storm in San Mateo County

This data contains maximum model-derived significant wave height (in meters) 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 atmospheric conditions)...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 water level projections: 20-year storm in San Mateo County

This data contains model-derived total water levels (in meters) 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 atmospheric conditions) and simulated...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 wave-hazard projections: 20-year storm in San Luis Obispo County

This data contains maximum model-derived significant wave height (in meters) 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 atmospheric conditions)...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Erosion, Extreme Weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Mateo County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags

CoSMoS v3.1 wave-hazard projections: 20-year storm in San Francisco County

This data contains maximum model-derived significant wave height (in meters) 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 atmospheric conditions)...

Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Beaches, CMHRP, Central California, Central California Coast, Climate change, All tags... ClimatologyMeteorologyAtmosphere, Coastal and Marine Hazards and Resources Program, Coastal erosion, Earth sciences, Extreme weather, Floods, Hazards Planning, Mathematical Modeling, Ocean Waves, Ocean Winds, Oceans, PCMSC, Pacific Coastal and Marine Science Center, San Francisco County, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, erosion, waves, Fewer tags

Historical coastal bluff edge positions at Barter Island, Alaska for the years spanning 1950 to 2020

This dataset includes one vector shapefile delineating the position of the top edge of the coastal permafrost bluffs at Barter Island, Alaska spanning seven decades, between the years of 1950 and 2020. Bluff-edge positions delineated from a combination of aerial photography, declassified satellite photography, and very-high resolution satellite imagery can be used to quantify the movement of the bluff edge through time. These data were used to calculate rates of change every 10 meters alongshore using the Digital Shoreline Analysis System (DSAS) version 5.0. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each bluff edge...

Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arctic National Wildlife Refuge, Arctic Ocean, Barter Island, CMHRP, Coastal and Marine Hazards and Resources Program, All tags... DSAS, Digital Shoreline Analysis System, North Slope, PCMSC, Pacific Coastal and Marine Science Center, Physical habitats and geomorphology, State of Alaska, U.S. Geological Survey, USGS, coastal erosion, coastal processes, environment, geomorphology, geoscientificInformation, geospatial datasets, oceans, permafrost, shoreline accretion, Fewer tags