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The western coastline of Alaska is highly susceptible to coastal storms, which can cause coastal erosion, flooding, and have other pernicious effects to the environment and commercial efforts. The reduction in ice coverage due to climate change could potentially increase the frequency and degree of coastal flooding and erosion. Further, estuaries and delta systems act as conduits for storm surges, so when there is less nearshore ice coverage, these systems could introduce storm surge into terrestrial environments unaccustomed to saline intrusion, flooding, or other alien biogeochemical factors.This project quantified the effect of reduced nearshore ice coverage on coastal flooding. The project developed a large...
Categories: Collection, Data; Tags: Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, COASTAL PROCESSES, COASTAL PROCESSES, All tags...
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This assessment is based on review of available literature and examination of historical air photos that date to the 1940’s, topography developed from LiDAR (light detection and ranging) data obtained in 2007, limited field mapping of beach, dune and fluvial stratigraphy, discussions with other coastal dune geomorphologists, and reconnaissance site visits to the project area and environs. Radiocarbon dating drew from the work of Tushingham et al. (no date), Meyer et al. (2011), Bicknell and Austin (1991) and unpublished data developed by park staff. Optically stimulated luminescence (OSL) dating drew from work by Michaela Spiske (University of Munich, unpublished data 2013) and our resources using funding provided...
Bering Sea storms introduce various environmental conditions that adversely affect human activity and infrastructure in the coastal zone and the ecosystems they depend upon. Storm impacts include interactions with sea ice in all potential states: large floes, shore-fast ice, and incipient sea-ice in frazil or slush state. In particular, sea ice can act to enhance or mitigate the impacts of adverse marine state, even as the event is occurring. Such occurrences should be part of a forecasting regimen, however scientific work has not been conducted on this phenomena, with the result that a physical model describing the formation of slush ice berms does not exist. To arrive at such a model requires visits to and input...
This project resulted in an extensive mapping of coastal change along the entire coastline of the Western Alaska Landscape Conservation Cooperative (LCC). The work provides important baseline information on the distribution and magnitude of landscape changes over the past 41 years. The extent of change to the coastline and to coastal features, such as spits, barrier islands, estuaries, tidal guts and lagoons, was known to be substantial in some areas along the coast (e.g., portions of the Yukon–Kuskokwim Delta), although the extent of change along the full Bering Sea coast was not well documented. With this analysis, changes can be summarized for different land ownerships or other units to assess the extent of recent...
Categories: Data; Tags: BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, COASTAL AREAS, All tags...
This project resulted in an extensive mapping of coastal change along the entire coastline of the Western Alaska Landscape Conservation Cooperative (LCC). The work provides important baseline information on the distribution and magnitude of landscape changes over the past 41 years. The extent of change to the coastline and to coastal features, such as spits, barrier islands, estuaries, tidal guts and lagoons, was known to be substantial in some areas along the coast (e.g., portions of the Yukon–Kuskokwim Delta), although the extent of change along the full Bering Sea coast was not well documented. With this analysis, changes can be summarized for different land ownerships or other units to assess the extent of recent...
Categories: Data; Tags: BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, BARRIER ISLANDS, COASTAL AREAS, All tags...
An integrated high resolution tide and storm surge model has been developedfor all of coastal Alaska. The model uses the ADCIRC basin-to-channelscale unstructured grid circulation code. Tidal forcing from global tidal modelsand meteorological forcing from the Climate Forecast System Reanalysisare used. The model’s tidal solution has been validated at 121 shelf andnearshore stations. The model’s skill has been investigated for summer, falland winter storms. Sea ice has been incorporated through a parameterizedwind drag coefficient which modifies the air-sea drag under ice coverage.Three large storms with distinctly different ice coverages were chosen to exhibitthe effect of sea ice on the resulting storm surge. The...
Categories: Data, Publication; Types: Citation; Tags: Academics & scientific researchers, COASTAL AREAS, COASTAL AREAS, COASTAL PROCESSES, COASTAL PROCESSES, All tags...
One of the major challenges in understanding changes in coastal processes in western Alaska is the lack of measured ocean data in the region. ​This project leveraged existing human resources, and physical and computational infrastructure to collect and disseminate oceanographic observations in the Bering Sea. From instrument restoration, transport and deployment, through data streaming, recovery and dissemination, this project considered the end to end supports necessary to gather, promote, and serve oceanographic data along Alaska’s Western coast. Real‐time sea‐state conditions were transmitted via both high and low bandwidth sites, directly benefited emergency managers and local communities, particularly in dealing...
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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...
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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...
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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)...
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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...
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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...
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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...
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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.
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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...
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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...
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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)...
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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)...
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These data are meant to support a publication "Disentangling direct and indirect effects of extreme events on coastal wetland communities" in the Journal of Animal Ecology. This dataset contains both amphibian and fish observations based on our use of plastic minnow traps. Additionally we present (specific) conductance values observed during our trapping periods.
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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...


map background search result map search result map Age Estimation for Landforms at Tolowa Dunes State Park - Report CoSMoS Central California v3.1 projections of shoreline change due to 21st century sea level rise CoSMoS v3.1 flood hazard projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 flood depth and duration projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 water level projections: 1-year storm in Santa Barbara County CoSMoS v3.1 flood depth and duration projections: average conditions in Santa Barbara County CoSMoS v3.1 ocean-currents hazards: average conditions in San Luis Obispo County CoSMoS v3.1 wave-hazard projections: 1-year storm in San Mateo County CoSMoS v3.1 flood depth and duration projections: 100-year storm in San Francisco County CoSMoS v3.1 - Santa Cruz County CoSMoS v3.1 wave-hazard projections: 100-year storm in Santa Cruz County CoSMoS v3.1 flood hazard projections: 100-year storm in Santa Cruz County CoSMoS v3.1 flood hazard projections: average conditions in Santa Cruz County Fish, amphibian, and conductance data from Panacea Unit, St. Marks National Wildlife Refuge, FL, 2009-2016 Fish, amphibian, and conductance data from Panacea Unit, St. Marks National Wildlife Refuge, FL, 2009-2016 CoSMoS v3.1 wave-hazard projections: 1-year storm in San Mateo County CoSMoS v3.1 water level projections: 1-year storm in Santa Barbara County CoSMoS v3.1 flood depth and duration projections: average conditions in Santa Barbara County CoSMoS v3.1 - Santa Cruz County CoSMoS v3.1 wave-hazard projections: 100-year storm in Santa Cruz County CoSMoS v3.1 flood hazard projections: 100-year storm in Santa Cruz County CoSMoS v3.1 flood hazard projections: average conditions in Santa Cruz County Age Estimation for Landforms at Tolowa Dunes State Park - Report CoSMoS v3.1 flood hazard projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 flood depth and duration projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 ocean-currents hazards: average conditions in San Luis Obispo County CoSMoS Central California v3.1 projections of shoreline change due to 21st century sea level rise