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Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands This data release provides flooding extent polygons and flood depth rasters (geotiffs) based on sea-level rise and wave-driven total water levels for the coast of the most populated Hawaiian, Mariana, and American Samoan Islands. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10 square meter resolution along these islands’ coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level... Categories: Data; Tags: CMHRP, Climate Change, Climatology, Coastal Processes, Coastal and Marine Hazards and Resources Program, All tags... Earth sciences, Effects of climate change, Environmental Equity, Environmental Justice, Flooding, Floods, Geography, Geomorphology, Geophysics, Geospatial Datasets, Guam, Hawaiian Islands, Hydrology, Island of Hawaiʻi, Kaua'i, Land Use Change, Mariana Islands, Marine Geology, Mathematical modeling, Maui, Moloka'i, O'ahu, Ofu Island, Olosega Island, PCMSC, Pacific Coastal and Marine Science Center, Physical Habitats and Geomorphology, Predictions, Saipan Island, Sea level change, Sea-level Change, Spatial Analysis, State of Hawaii, Storms, Tau Island, Territory of American Samoa, Tutuila Island, U.S. Geological Survey, USGS, Waves, environment, geoscientificInformation, oceans, 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 Collection, analysis, and age-dating of sediment cores from mangrove wetlands in San Juan Bay Estuary, Puerto Rico, 2016 The San Juan Bay Estuary, Puerto Rico, contains mangrove forests that store significant amounts of organic carbon in soils and biomass. There is a strong urbanization gradient across the estuary, from the highly urbanized and clogged Caño Martin Peña in the western part of the estuary, a series of lagoons in the center of the estuary, and a tropical forest reserve (Piñones) in the easternmost part with limited urbanization. We collected sediment cores to determine carbon burial rates and vertical sediment accretion from five sites in the San Juan Bay Estuary. Cores were radiometrically-dated using lead-210 and the Plum age model. Sites had soil C burial rates ranging from 50 grams per meter squared per year (g m-2... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 137-cesium, 210-lead, Caño de Martín Peña (1613013), Commonwealth of Puerto Rico (1779808), Geochemistry, All tags... Laguna La Torrecilla (1611340), Laguna San José (1611343), Laguna de Pinoñes (1611336), Plum age model, San Juan (1612697), United States of America (1890467), accretion rate, age model, carbon, carbon burial, carbon isotope analysis, ecological restoration, environment, geoscientificInformation, health, mangrove sediments, nitrogen, oceans, radiometric dating, sea-level change, sedimentation, soil chemistry, utilitiesCommunication, wetland ecosystems, wetland soils, wetlands, Fewer tags SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Cedar Island, VA, 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, 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 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 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 Tidal Wetland Habitat Projections with Sea-level Rise Across Sites in the San Francisco Bay Estuary (2020-2100) Habitat projections from the WARMER-2 model for four tidal wetland sites in San Francisco Bay estuary under the constant sediment scenario, plus 0.2 ppt per decade salinity scenario, and the community transition organic productivity function under a 99 cm by 2100 sea-level rise scenario. Results are the average from one hundred Monte Carlo simulations. Tags: Brackish Marsh, Emergent Tidal Marsh, Emergent Wetland, San Francisco Bay, biota, All tags... climate change, numerical modeling, sea-level change, wetland, Fewer tags Northwestern Hawaiian Islands Sea-level Rise Scenarios and Models 2010-2015 This data release consists of two ESRI geodatabases that store inundation areas for various future scenarios of sea-level rise (SLR), groundwater rise, and storm waves for Laysan Island and Midway Atoll in the Northwestern Hawaiian Islands. Five types of inundation scenarios are considered: (1) passive SLR, (2) passive SLR including groundwater rise, (3) wave-driven inundation during storm events, (4) wave-driven inundation during storm events including groundwater rise, and (5) wave-driven inundation during storm events, assuming unlimited seawater volumes and no infiltration (i.e., theoretical maximum). This scenario applies only to Laysan Island which has topographic depressions that fill with water during flood... Tags: Climatology, Geomorphology, Laysan Island, Midway Atoll, Northwestern Hawaiian Islands, All tags... USGS Science Data Catalog (SDC), Wildlife Biology, groundwater, inundation, sea-level change, storm events, 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 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 ocean-currents hazards: average conditions 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 - 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 water level projections: 1-year storm 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 « 1 2 3 4 5 6 ... 13 »