Filters: Tags: Coastal and Marine Hazards and Resources Program (X) > Types: OGC WFS Layer (X)

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shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Cobb 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Coastal and Marine Hazards and Resources Program, Cobb Island, All tags... Cobb Island, Delmarva Peninsula, North America, St. Petersburg Coastal and Marine Science Center, U.S. Geological Survey, USA, USGS, United States, VA, Virginia Coast Reserve, Virginia Coast Reserve, Virginia,, Woods Hole Coastal and Marine Science Center, coastal processes, geomorphology, geospatial analysis, geospatial datasets, oceans, study areas, Fewer tags DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Myrtle 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, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, Barrier Island, CMHRP, Coastal Hazards, Coastal and Marine Hazards and Resources Program, All tags... Delmarva Peninsula, GIS, Geographic Information Systems, MHW, Mean High Water, Myrtle Island, Myrtle 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, geomorphology, geoscientificInformation, geospatial analysis, geospatial datasets, oceans, transect sampling, Fewer tags Multibeam bathymetric trackline data collected in the vicinity of Buffalo Reef, Michigan, within Lake Superior during USGS Field Activity 2018-043-FA using a dual-head Reson T20-P multibeam echosounder (Esri polyline shapefile, Geographic, WGS 84) In September 2018, the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, conducted high-resolution geophysical mapping and sediment sampling to determine the distribution of historical mine tailings on the floor of Lake Superior. Large amounts of waste material from copper mining, locally known as “stamp sands,” were dumped into the lake in the early 20th century, with wide-reaching consequences that have continued into the present. Mapping was focused offshore of the town of Gay on the Keweenaw Peninsula of Michigan, where ongoing erosion and re-deposition of the stamp sands has buried miles of native, white-sand beaches. Stamp sands are also encroaching onto Buffalo Reef, a large... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Buffalo Reef, CMHRP, Coastal and Marine Hazards and Resources Program, DOI, Department of the Interior, All tags... Houghton County, Keweenaw County, Keweenaw Peninsula, Lacustrine Geology, Lake Superior, Michigan, R/V Rafael, Reson, T20-P, Traverse Bay, U.S. Geological Survey, USGS, United States of America, WHCMSC, Woods Hole Coastal and Marine Science Center, bathymetry, bathymetry, elevation, field activity number 2018-043-FA, geology, geophysics, geoscientificInformation, geospatial datasets, imageryBaseMapsEarthCover, inlandWaters, lakebed characteristics, multibeam bathymetry, multibeam echosounder, multibeam sonar, shapefile, tracklines, Fewer tags Chirp seismic reflection - shotpoints, tracklines, profile images, and SEG-Y traces for EdgeTech SB-512i chirp data collected during USGS field activity 2017-002-FA In spring and summer 2017, the U.S. Geological Survey’s Gas Hydrates Project conducted two cruises aboard the research vessel Hugh R. Sharp to explore the geology, chemistry, ecology, physics, and oceanography of sea-floor methane seeps and water column gas plumes on the northern U.S. Atlantic margin between the Baltimore and Keller Canyons. Split-beam and multibeam echo sounders and a chirp subbottom profiler were deployed during the cruises to map water column backscatter, sea-floor bathymetry and backscatter, and subsurface stratigraphy associated with known and undiscovered sea-floor methane seeps. The first cruise, known as the Interagency Mission for Methane Research on Seafloor Seeps and designated as field... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Accomac Canyon, Atlantic Margin, Atlantic Ocean, CMHRP, Chincoteague Ridge, All tags... Coastal and Marine Hazards and Resources Program, DOE, DOI, Department of Energy, Department of the Interior, EdgeTech, Keller Canyon, Norfolk Canyon, PNG, R/V Hugh R. Sharp, SB-512i, SEG-Y traces, U.S. Geological Survey, USGS, United States of America, University of Rochester, WHCMSC, Washington Canyon, Woods Hole Coastal and Marine Science Center, chirp, field activity number 2017-002-FA, geoscientificInformation, geospatial datasets, image, location, marine geology, marine geology, marine geophysics, navigational data, oceans, seismic navigation, seismic profile, seismic reflection, seismic reflection methods, shapefile, sub-bottom profiling, trackline navigation, Fewer tags Surface-sediment grain-size distributions of the Elwha River delta, Washington, July 2017 This portion of the USGS data release presents sediment grain-size data from samples collected on the Elwha River delta, Washington, in July 2017 (USGS Field Activity Number 2017-638-FA). Surface sediment was collected on July 20, 2017 at a total of 80 locations using a small ponar, or 'grab', sampler from the R/V Frontier in water depths between about 1 and 17 m around the delta. An additional 31 samples were collected by hand at low tide. A handheld global satellite navigation system (GNSS) receiver was used to determine the locations of sediment samples. Grab samples that yielded less than 50 g of sediment were omitted from analysis. The grain-size distributions of samples that yielded more than 50 g of sediment... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CMHRP, Clallam County, Coastal and Marine Hazards and Resources Program, Elwha River, GPS (Global Positioning System), All tags... Global Positioning System (GPS) observations, Olympic Peninsula, PCMSC, Pacific Coastal and Marine Science Center, Strait of Juan de Fuca, Substrate, U.S. Geological Survey, USGS, grain-size analysis, ocean processes, oceans, sediment, sediment transport, sedimentation, Fewer tags Projected flood extent polygons and flood depth points based on 10-, 50-, 100-, and 500-year wave-energy return periods, with and without coral reefs, for the Territory of the U.S. Virgin Islands (the islands of Saint Croix, Saint John, and Saint Thomas) This part of the data release presents projected flooding extent polygon (flood masks) and flooding depth points (flood points) shapefiles based on wave-driven total water levels for the Territory of the U.S. Virgin Islands (the islands of Saint Croix, Saint John, and Saint Thomas). For each island there are 8 associated flood mask and flood depth shapefiles: one for each four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years) and both with (wrf) and without (worf) the presence of coral reefs. Flooding depth point data are also presented as a comma-separated value (.csv) text file. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, Coastal and Marine Hazards and Resources Program, Coral Reef, Habitat, PCMSC, All tags... Pacific Coastal and Marine Science Center, Saint Croix, Saint John, Saint Thomas, St. Croix, St. John, St. Thomas, U.S. Geological Survey, U.S. Virgin Islands, USGS, USVI, United States of America, Virgin Islands, coastal processes, coral reef communities, environment, flooding, geoscientificInformation, oceans, reef, reef ecosystems, Fewer tags Projected flood extent polygons and flood depth points based on 10-, 50-, 100-, and 500-year wave-energy return periods, with and without coral reefs, for the Commonwealth of the Northern Mariana Islands (the islands of Saipan and Tinian) This part of the data release presents projected flooding extent polygon (flood masks) and flooding depth points (flood points) shapefiles based on wave-driven total water levels for Commonwealth of the Northern Mariana Islands (the islands of Saipan and Tinian). For each island there are 8 associated flood mask and flood depth shapefiles: one for each of four nearshore wave energy return periods (rp; 10-, 50-, 100-, and 500-years) and both with (wrf) and without (worf) the presence of coral reefs. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, CNMI, Coastal and Marine Hazards and Resources Program, Commonwealth of the Northern Mariana Islands, Coral Reef, All tags... Habitat, PCMSC, Pacific Coastal and Marine Science Center, Saipan Island, Tinian Island, U.S. Geological Survey, USGS, United States of America, coastal processes, coral reef communities, environment, flooding, geoscientificInformation, oceans, reef, reef ecosystems, Fewer tags Faults—Point Sur to Point Arguello, California This part of DS 781 presents data for the faults of the Point Sur to Point Arguello, California, region. The vector data file is included in the “Faults_PointSurToPointArguello.zip,” which is accessible from https://doi.org/10.5066/P97CZ0T7. Faults in the Point Sur to Point Arguello region are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data collected by the U.S. Geological Survey between 2008 and 2014. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Avila Beach, CMHRP, Cambria, Coastal and Marine Hazards and Resources Program, Distributions, All tags... Gamboa Point, Gorda, Lafler Rock, Morro Bay, PCMSC, Pacific Coastal and Marine Science Center, Pacific Ocean, Physical Habitats and Geomorphology, Piedras Blancas, Point Arguello, Point Buchon, Point Estero, Point Purisma, Point Sal, Point Sur, Ragged Point, State of California, U.S. Geological Survey, USGS, environment, fault, faulting (geologic), geologic structure, geoscientificInformation, geospatial datasets, maps and atlases, marine geology, oceano Beach, oceans, sea-floor characteristics, seabed, structural geology, Fewer tags Eelgrass distributions and bathymetry derived from an acoustic survey of the Nisqually River delta, Washington, 2012 This portion of the USGS data release presents eelgrass distribution and bathymetry data derived from acoustic surveys of the Nisqually River delta, Washington in 2012 (USGS Field Activity Number D-01-12-PS). Eelgrass and bathymetry data were collected from the R/V George Davidson equipped with a single-beam sonar system and global navigation satellite system (GNSS) receiver. The sonar system consisted of a Biosonics DT-X single-beam echosounder and 420 kHz transducer with a 6-degree beam angle. Depths from the echosounder were computed using sound velocity assuming a salinity of 30 psu and temperature of 10 degrees Celcius. Positioning of the survey vessel was determined at 5 to 10 Hz using a Trimble R7 GNSS receiver... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Bathymetry and Elevation, Billy Frank Jr Nisqually National Wildlife Refuge, CMHRP, Coastal and Marine Hazards and Resources Program, Echo Sounders, All tags... GPS (Global Positioning System), GPS measurement, Global Positioning System (GPS) observations, Nisqually River, PCMSC, Pacific Coastal and Marine Science Center, Pierce County, Puget Sound, Salish Sea, Thurston County, U.S. Geological Survey, USGS, USGS Coastal Habitats in Puget Sound Project (CHIPS), Water Depth, aquatic vegetation, bathymetry, bathymetry measurement, elevation, marine geophysics, sea-floor characteristics, single-beam echo sounder, Fewer tags CoSMoS v3.1 flood depth and duration projections: 100-year storm in San Francisco 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 Francisco County, Sea-Level Rise, Sea-level Change, State of California, Storm Surge, Storms, USGS, Water Depth, Wind, climate-change effects, waves, Fewer tags Chirp and minisparker seismic-reflection data of field activity F-02-07-NC collected offshore San Mateo County, California, from 2007-03-22 to 2007-04-06 High-resolution single-channel Chirp and minisparker seismic-reflection data were collected by the U.S. Geological Survey in March and April 2007, offshore San Mateo County, California. Data were collected aboard the R/V Fulmar during field activity F-02-07-NC. Chirp data were collected using an EdgeTech 512 chirp subbottom system and were recorded with a Triton SB-Logger. Minisparker data were collected using a SIG 2-mille minisparker sound source combined with a single-channel streamer, and both were recorded with a Triton SB-Logger. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bathymetry and Elevation, CMHRP, Coastal and Marine Hazards and Resources Program, Elevation, Geophysics, All tags... Half Moon Bay, Marine Geology, North Pacific Ocean, Oceans, PCMSC, Pacific Coastal and Marine Science Center, Pacific Ocean, Pacifica, San Francisco, San Gregorio, San Mateo County, State of California, U.S. Geological Survey, USGS, geoscientificinformation, geospatial datasets, marine geophysics, seismic reflection profiling, sub-bottom profiling, Fewer tags Digital Shoreline Analysis System (DSAS) version 4.4 transects with long-term linear regression rate calculations for the sheltered north coast of Alaska, from Icy Cape to Cape Prince of Wales This dataset consists of long-term (less than 68 years) shoreline change rates for the sheltered north coast of Alaska from Icy Cape to Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.4, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate-of-change (lrr) method based on available shoreline data between 1948 and 2016. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate rates of change. Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arctic, Bering Land Bridge National Preserve, CMHRP, Cape Espenberg, Cape Krusenstern National Monument, All tags... Cape Lisburne, Cape Prince of Wales, Cape Thompson, Chukchi Sea, Coastal and Marine Hazards and Resources Program, DSAS, Deering, Digital Shoreline Analysis System, Distributions, Icy Cape, Kivalina, Kotzebue Sound, North Slope, PCMSC, Pacific Coastal and Marine Science Center, Physical/Chemical Features, Point Hope, Point Lay, Red Dog Dock, Shishhmaref, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, Wales, coastal processes, environment, geoscientificInformation, oceans, shoreline accretion, shoreline erosion, Fewer tags Digital Shoreline Analysis System (DSAS) version 4.4 transects with long-term linear regression rate calculations for the exposed north coast of Alaska, from Icy Cape to Cape Prince of Wales This dataset consists of long-term (less than 68 years) shoreline change rates for the exposed coast of the north coast of Alaska from Icy Cape to Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.4, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate-of-change (lrr) method based on available shoreline data between 1948 and 2016. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate shoreline change... Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Arctic, Bering Land Bridge National Preserve, CMHRP, Cape Espenberg, Cape Krusenstern National Monument, All tags... Cape Lisburne, Cape Prince of Wales, Cape Thompson, Chukchi Sea, Coastal and Marine Hazards and Resources Program, DSAS, Deering, Digital Shoreline Analysis System, Distributions, Icy Cape, Kivalina, Kotzebue Sound, North Slope, PCMSC, Pacific Coastal and Marine Science Center, Physical/Chemical Features, Point Hope, Point Lay, Red Dog Dock, Shishhmaref, Shoreline, Shoreline Change, U.S. Geological Survey, USGS, Wales, coastal processes, environment, geoscientificInformation, oceans, shoreline accretion, shoreline erosion, Fewer tags San Juan, Puerto Rico, wave and water level data, 2018-2019 Time series data of water surface elevation and wave height were acquired at ten locations for 153 days off San Juan, on the north coast of Puerto Rico, in support of a study on the transformation of surface waves and resulting water levels over the coral reefs. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: CMHRP, Carolina Municipio, Coastal and Marine Hazards and Resources Program, Isla Verde, Island of Puerto Rico, All tags... Oceans, PCMSC, Pacific Coastal and Marine Science Center, Puerto Rico, San Juan, U.S. Geological Survey, USGS, Water Column Features, geoscientificInformation, marine water quality, physical oceanography, tides, time series datasets, waves, Fewer tags CoSMoS Central California v3.1 projections of shoreline change due to 21st century sea level rise This dataset contains projections of shoreline positions and uncertainty bands for future scenarios of sea-level rise. Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model forced with global-to-local nested wave models and assimilated with lidar-derived shoreline vectors. Read metadata carefully. 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 Radiocarbon dating of deep-sea black corals collected off the southeastern United States Results of radiocarbon dating of deep-sea (500 m to 700 m) black corals are presented. These corals were collected off the southeastern United States as part of the Southeastern United States Deep-Sea Corals (SEADESC) Initiative. Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Atlantic Ocean, CMHRP, Coastal and Marine Hazards and Resources Program, Ecology, Geochemistry, All tags... Habitat, Marine Geology, PCMSC, Pacific Coastal and Marine Science Center, South Atlantic Bight, U.S. Geological Survey, USGS, carbon-14 analysis, chemical analysis, chemical oceanography, coelenterates, environment, fragile ecosystems, geochemistry, geoscientificInformation, marine chemistry, oceans, radiometric dating, Fewer tags CoSMoS v3.1 wave-hazard projections: 100-year storm in Santa Cruz 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, 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 flood hazard projections: 100-year storm in Santa Cruz County This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with 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... 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 - Santa Cruz County This dataset contains projections for Santa Cruz 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... 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 flood hazard projections: average conditions in Santa Cruz County This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with 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... 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 « 1 ... 3 4 5 6 7 ... 14 »