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This project used previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort completed the Kotzebue Sound shoreline, which now has been included in the state-wide ShoreZone dataset. The complete ShoreZone dataset for the region was used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise
First Release: November 2018 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. 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....
Categories: Data Release - Revised;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
This project used existing ShoreZone coastal imagery to map 719 km of shoreline in Bristol Bay, from Cape Constantine to Cape Newenham. This section of coastline is an extremely important herring spawning area and an important component of the Bristol Bay fisheries. Intertidal and nearshore vegetation, on which herring spawn, was catalogued as part of the mapping and, along with shore types, coastal substrate, and coastal biota, added to the state-wide ShoreZone dataset.
Categories: Data;
Tags: COASTAL HABITAT,
COASTAL HABITAT,
COASTAL LANDFORMS,
COASTAL LANDFORMS,
DATA DELIVERY,
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. CoSMoS 3.2 for Northern 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 Northern California covers the coastline from Golden Gate Bridge to the California-Oregon state border.
Categories: Data;
Tags: Beaches,
CMHRP,
Climate Change,
Climatology,
ClimatologyMeteorologyAtmosphere,
Simulatations of water levels in the Salish Sea for a continuous hindcast of the period October 1, 1985, to September 30, 2015 were conducted to evaluate the utility and skill of a sea-level anomaly predictor and to develop extreme water level estimates accounting for decadal climate variability. The model accounts for sea level position, tides, remote sea-level anomalies, local winds and storm surge and stream flows as they affect water density. Comparison of modeled and measured water levels showed the model predicts extreme water levels at NOAA tide gage stations within 0.15 m. Model inputs and outputs of time-series water levels along the -5 m depth isobath are presented. In addition, extreme water level recurrence...
Categories: Data;
Tags: CMHRP,
Climate Change,
Coastal and Marine Hazards and Resources Program,
Distributions,
Extreme Weather,
This project used previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort completed the Kotzebue Sound shoreline, which now has been included in the state-wide ShoreZone dataset. The complete ShoreZone dataset for the region was used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise.
This project uses previously collected ShoreZone imagery to map nearly 1,600 km of coastline between Wales and Kotzebue. With additional mapping supported by the Arctic LCC and National Park Service, this effort will complete the Kotzebue Sound shoreline, which will be included in the state-wide ShoreZone dataset. The complete ShoreZone dataset will be used to conduct a coastal hazards analysis and create maps that identify areas undergoing rapid coastal erosion and areas that are sensitive to inundation by storm surge and sea level rise.
Categories: Data,
Project;
Tags: BEACHES,
BEACHES,
DISASTER RESPONSE,
DISASTER RESPONSE,
Data Management and Integration,
This project used existing ShoreZone coastal imagery to map 719 km of shoreline in Bristol Bay, from Cape Constantine to Cape Newenham. This section of coastline is an extremely important herring spawning area and an important component of the Bristol Bay fisheries. Intertidal and nearshore vegetation, on which herring spawn, was catalogued as part of the mapping and, along with shore types, coastal substrate, and coastal biota, added to the state-wide ShoreZone dataset.
Categories: Data;
Tags: COASTAL HABITAT,
COASTAL HABITAT,
COASTAL LANDFORMS,
COASTAL LANDFORMS,
DATA DELIVERY,
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 conditions and future SLR scenarios, and in many locations, there are additional products for long-term shoreline change, cliff retreat, and groundwater hazards. Resulting projections for future climate scenarios (sea-level rise and storms) provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety and mitigate physical damages to reduce risk, and more effectively manage and allocate resources to increase resilience in response to a changing climate...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMG,
CMGP,
California,
Cliffs,
Simulations of water levels in the Salish Sea over the period October 1, 2016 to September 30, 2020 were conducted to validate the Salish Sea hydrodynamic model. The model accounts for sea level position, tides, remote sea-level anomalies, local winds and storm surge and stream flows as they affect water density. Comparison of modeled and measured water levels showed the model predicts extreme water levels at NOAA and USGS tide gage stations within 0.15 m. Model inputs and outputs of time-series forcing and water levels, respectively, are presented.
Categories: Data;
Tags: CMHRP,
Climate Change,
Coastal and Marine Hazards and Resources Program,
Distributions,
Extreme Weather,
Partners developed a simulation model to better show how various projections associated with increased marine traffic in the Bering Sea might look in the coming decades. These simulations are able to help communities and managers better understand future patterns of traffic in the Bering Sea region as a whole, and look more specifically at possible changes in key areas of concern like the Bering Strait.Following vessel activity analysis and considering vessel type, transit routes, route timing, routing speed, and ports of call, we developed a novel agent-based, spatially-explicit, baseline model of current marine vessel traffic patterns. We then applied projections about changes in traffic volume from a report by...
This dataset contains projections of shoreline change and uncertainty bands across California for future scenarios of sea-level rise (SLR). Projections were made using the Coastal Storm Modeling System - Coastal One-line Assimilated Simulation Tool (CoSMoS-COAST), a numerical model run in an ensemble forced with global-to-local nested wave models and assimilated with satellite-derived shoreline (SDS) observations across the state. Scenarios include 25, 50, 75, 100, 125, 150, 175, 200, 250, 300 and 500 centimeters (cm) of SLR by the year 2100. Output for SLR of 0 cm is also included, reflective of conditions in 2000.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
California,
California Coast,
Climate change,
This project uses existing ShoreZone coastal imagery to map 719 km of shoreline in Bristol Bay, from Cape Constantine to Cape Newenham. This section of coastline is an extremely important herring spawning area and an important component of the Bristol Bay fisheries. Intertidal and nearshore vegetation, on which herring spawn, will be catalogued as part of the ShoreZone mapping and, along with shore types, coastal substrate, and coastal biota, added to the state-wide ShoreZone dataset.
Categories: Data,
Project;
Tags: DATA DELIVERY,
DATA DELIVERY,
DISASTER RESPONSE,
DISASTER RESPONSE,
Data Management and Integration,
This project used existing ShoreZone coastal imagery to map 719 km of shoreline in Bristol Bay, from Cape Constantine to Cape Newenham. This section of coastline is an extremely important herring spawning area and an important component of the Bristol Bay fisheries. Intertidal and nearshore vegetation, on which herring spawn, was catalogued as part of the mapping and, along with shore types, coastal substrate, and coastal biota, added to the state-wide ShoreZone dataset.
Categories: Data;
Tags: COASTAL HABITAT,
COASTAL HABITAT,
COASTAL LANDFORMS,
COASTAL LANDFORMS,
DATA DELIVERY,
This data set consists of physics-based Delft3D-FLOW and WAVE hydrodynamic models input files used for Coastal Storm Modeling System (CoSMoS) Tier 1 simulations. Tier 1 simulations cover the Northern California open-coast region, from the Golden Gate Bridge to the California/Oregon state border, and they provide boundary conditions to higher-resolution simulations. Simulations are run for several storm events (covering a range of no storm, 1-year, 20-year, and 100-year coastal storm conditions) and sea-level rise (SLR) scenarios.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Climate Change,
ClimatologyMeteorologyAtmosphere,
Coastal and Marine Hazards and Resources,
Simulations of the period 2016-2099 were conducted using the Salish Sea hydrodynamic model to evaluate extreme water levels associated with anticipated changes in sea level and climate forcing. The model projections accounting for sea level position, tides, remote sea-level anomalies, local winds and storm surge and stream flows as they affect water density. Dynamically downscaled Weather Research and Forecasting (WRF) CMIP5 GFDL wind and atmospheric pressure fields were prescribed over the model open boundary and used to compute sea-level anomaly prescribed at the model ocean boundary. Simulations were made for eight different Sea-Level Rise (SLR) conditions, 0, 0.25, 0.5, 1, 1.5, 2, 3, and 5 meters relative to...
Categories: Data;
Tags: CMHRP,
Climate Change,
Coastal and Marine Hazards and Resources Program,
Distributions,
Extreme Weather,
Remote-sensing technologies—such as video imagery, aerial photography, satellite imagery, structure-from-motion (SfM) photogrammetry, and lidar (laser-based surveying)— can be used to measure change along U.S. coastlines. Quantifying coastal change is essential for calculating trends in erosion and accretion, evaluating processes that shape coastal landscapes, and predicting how the coast will respond to future natural disasters (e.g. hurricanes, landslides, wildfires) and longer term climate trends such (e.g. sea-level rise, ecosystem change, coral bleaching), all critical for U.S. coastal communities. Rapid developments have occurred in remote-sensing technologies during the 21st century. With collaborators...
This project used existing ShoreZone coastal imagery to map 719 km of shoreline in Bristol Bay, from Cape Constantine to Cape Newenham. This section of coastline is an extremely important herring spawning area and an important component of the Bristol Bay fisheries. Intertidal and nearshore vegetation, on which herring spawn, was catalogued as part of the mapping and, along with shore types, coastal substrate, and coastal biota, added to the state-wide ShoreZone dataset.
Categories: Data;
Tags: COASTAL HABITAT,
COASTAL HABITAT,
COASTAL LANDFORMS,
COASTAL LANDFORMS,
DATA DELIVERY,
A two-dimensional hydrodynamic model of the Salish Sea was constructed using the Delft3D Flexible Mesh Suite (Deltares, 2020) to simulate still water levels in the past and future and evaluate extreme recurrence water level events accounting for sea level rise and climate change. Three sets of model simulations were performed following Grossman and others (2023). The first simulated the water years (October 1 – September 30) of 2017 to 2020 to validate the model and assess model error. The second simulation used the validated model to evaluate the period 1985-2015, the utility of a computed “remote sea level anomaly predictor” important to understanding of extreme water levels inside the Salish Sea, and to quantify...
Categories: Data;
Tags: CMHRP,
Climate Change,
Coastal and Marine Hazards and Resources Program,
Distributions,
Extreme Weather,
Partners developed a simulation model to better show how various projections associated with increased marine traffic in the Bering Sea might look in the coming decades. These simulations are able to help communities and managers better understand future patterns of traffic in the Bering Sea region as a whole, and look more specifically at possible changes in key areas of concern like the Bering Strait.Following vessel activity analysis and considering vessel type, transit routes, route timing, routing speed, and ports of call, we developed a novel agent-based, spatially-explicit, baseline model of current marine vessel traffic patterns. We then applied projections about changes in traffic volume from a report by...
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