Filters: Tags: sea-level change (X) > Types: Map Service (X)

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CoSMoS v3.1 ocean-currents hazards: 100-year storm in Monterey 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, 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 ocean-currents hazards: 20-year storm in Monterey 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, 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 Seabeach Amaranth Presence-Absence Data, Assateague Island National Seashore, 2010 Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address this problem, scientists in the U.S. Geological Survey (USGS) Coastal and Marine Geology program are developing Bayesian networks as a tool to evaluate and to forecast the effects of sea-level rise on shoreline change, barrier island geomorphology, and habitat availability for species such as the piping plover (Charadrius melodus)... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Assateague Island, Assateague Island, Assateague Island National Seashore, Assateague Island National Seashore, Atlantic Ocean, All tags... Barrier Island, Bayesian Network, CMHRP, Chincoteague National Wildlife Refuge, Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Delmarva Peninsula, Erosion, GIS, Geographic Information Systems, MD, MHW, Maryland, Mean High Water, North America, Probability, Sea Level Rise, Sea-level change, Seabeach amaranth, Shoreline Change, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Woods Hole Coastal and Marine Science Center, coastal processes, environment, environment, erosion, geographic information systems, geomorphology, geoscientificInformation, geoscientificInformation, geospatial analysis, geospatial datasets, hazards, hazards, land use and land cover, sea-level change, transect sampling, vegetation, Fewer tags SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Cedar Island, VA, 2012–2013 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, Raster; Tags: Atlantic Ocean, Barrier Island, CMGP, Cedar Island, Cedar Island, All tags... Coastal Habitat, Coastal and Marine Geology Program, Delmarva Peninsula, GIS, Geographic Information Systems, MHW, Mean High Water, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geospatial analysis, geospatial datasets, hazards, image analysis, oceans, scientific interpretation, sea-level change, study areas, Fewer tags SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Rockaway Peninsula, NY, 2012 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, Raster; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Habitat, Coastal and Marine Geology Program, All tags... GIS, Gateway National Recreation Area, Gateway National Recreation Area, Geographic Information Systems, Long Island, MHW, Mean High Water, NY, New York, North America, Rockaway Peninsula, Rockaway Peninsula, 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, geospatial analysis, geospatial datasets, hazards, image analysis, oceans, scientific interpretation, sea-level change, study areas, Fewer tags SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Rockaway Peninsula, NY, 2010–2011 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, Raster; Tags: Atlantic Ocean, Barrier Island, CMGP, Coastal Habitat, Coastal and Marine Geology Program, All tags... GIS, Gateway National Recreation Area, Gateway National Recreation Area, Geographic Information Systems, Long Island, MHW, Mean High Water, NY, New York, North America, Rockaway Peninsula, Rockaway Peninsula, 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, geospatial analysis, geospatial datasets, hazards, image analysis, oceans, scientific interpretation, sea-level change, study areas, Fewer tags points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Rhode Island National Wildlife Refuge, RI, 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, Erosion, GIS, Geographic Information Systems, MHW, Mean High Water, North America, Probability, RI, Rhode Island, Rhode Island, Rhode Island National Wildlife Refuge Complex, Rhode Island National Wildlife Refuge Complex, Sea Level Rise, Sea-level change, Shoreline Change, St. Petersburg Coastal and Marine Science Center, Trustom Pond, 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 SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Metompkin 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, Raster; Tags: Atlantic Ocean, Barrier Island, CMHRP, Coastal Habitat, Coastal and Marine Hazards and Resources Program, All tags... Delmarva Peninsula, GIS, Geographic Information Systems, MHW, Mean High Water, Metompkin Island, Metompkin Island, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia, Virginia Coast Reserve, Virginia Coast Reserve, Woods Hole Coastal and Marine Science Center, coastal processes, environment, erosion, geographic information systems, geomorphology, geospatial analysis, geospatial datasets, hazards, image analysis, oceans, scientific interpretation, sea-level change, study areas, 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, 2010 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 points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Monomoy Island, MA, 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, CMHRP, Cape Cod, All tags... Coastal Erosion, Coastal Habitat, Coastal Hazards, Coastal and Marine Hazards and Resources Program, Coastal processes, Erosion, GIS, Geographic Information Systems, MA, MHW, Massachusetts, Mean High Water, Monomoy Island, Monomoy Island, Monomoy National Wildlife Refuge, Monomoy National Wildlife Refuge, 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, 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 Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016 This data release contains mean high water (MHW) shorelines for sandy beaches along the coast of California for the years 1998/2002, 2015, and 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. The smoothed contour line was then quality controlled to remove artifacts, as well as remove any contour tool interpretation of human-made infrastructure (such as jetties, piers, and sea walls), using satellite imagery from ArcGIS. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, CenCal, Central California, Climate Change, ClimatologyMeteorologyAtmosphere, All tags... Coastal and Marine Hazards and Resources Program, El Nino events, El Nino-Southern Oscillation, NorCal, Northern California, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Physical Habitats and Geomorphology, Sea-level Change, SoCal, Southern California, State of California, Storms, U.S. Geological Survey, USGS, coastal erosion, sea level change, waves, Fewer tags CoSMoS v3.1 flood depth and duration projections: 100-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 CoSMoS v3.1 - Monterey County This dataset contains projections for Monterey County. 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. CoSMoS v3.1 for Central California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Data for Central California covers the coastline from Pt. Conception to Golden Gate Bridge. Methods and... 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 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 « 1 2 3 4 5 ... 11 »