Filters: Tags: Sea Level Rise (X)
339 results (12ms)
Filters
Date Range
Extensions Types Contacts
Categories Tag Types
|
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
This dataset represents areas of high habitat heterogeneity within the Re-evaluating Florida's Ecological Conservation Priorities in the Face of Sea Level Rise project study area. Features in this dataset are those portions of the project study area where more than 6 unique natural land cover classes exist within a 25 hectare window. These features were identified through a focal statistics raster analysis of the FL_LandCoverCoastal_FNAI dataset within a coastal analysis zone defined as areas in Florida of equal to or less than 3 meters elevation plus a 1 kilometer buffer. The features in this dataset are considered "refuges" because they intersect areas of equal to or greater than 3 meters. Because of their high...
The bluff hazard zone dataset for the year 2100 represents the areas vulnerable to erosion with a sea-level rise of 1.4 meters.
The dataset covers the entire California coast and the San Francisco Bay. It is created for estimating the impacts of a 100-year coastal flood with a sea-level rise of 1.4 meters (55 inches).
This raster file represents an interpolated surface of the Mean Higher High Water (MHHW), after a 1.4 meter sea-level rise (scenario for year 2100), for the entire California coastline (excluding the San Francisco Bay). The base raster (mhhw_2000) is interpolated from data for 12 NOAA tide stations along the coast. This raster added 140 centimeters to the mhhw_2000 raster.
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
In order to predict the impacts of climate change induced sea-level rise on Pacific Northwest coastal habitats, the Sea Level Affecting Marshes Model (SLAMM) was utilized to simulate future coastal habitat configurations under various sea-level rise scenarios. The model was run for 2025, 2050, 2075, and 2100. Historical or "initial condition" habitat classifications are also available for some sites. The sea-level rise scenarios include: 1. A1B greenhouse gas emission mean : 0.39 meter rise by 2100 2. A1B greenhouse gas emission maximum : 0.69 meter rise by 2100 3. 1 meter rise by 2100 4. 1.5 meter rise by 2100 5. 2 meter rise by 2100 Due to differing site conditions, local sea-level rise varies slightly from...
Information about these images can be found in the Final Report for Sea-level Rise Response Modeling for San Francisco Bay Estuary Tidal Marshes. Site-specific data are available by request. Contact: Dr. John Y. Takekawa, USGS Western Ecological Research Center, San Francisco Bay Estuary Field Station, 505 Azuar Dr. Vallejo, Calif. 94592, 707-562-2000
Categories: Data;
Tags: National CASC,
Science Tools For Managers,
Sea-Level Rise and Coasts,
State of the Science,
Water, Coasts and Ice,
Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal,...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Acadia National Park,
ArcGIS Pro,
Arcpy,
Autoclassification,
Automation,
These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an onlinemapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping vieweris to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is ascreening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to helpgauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at:http://www.csc.noaa.gov/slrThese...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Bathymetry/Topography,
Shoreline,
United States,
climatologyMeteorologyAtmosphere,
elevation,
These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses.Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr...
Categories: Data;
Types: ArcGIS REST Map Service,
ArcGIS Service Definition,
Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Bathymetry/Topography,
Seal Beach NWR,
Shoreline,
United States,
climatologyMeteorologyAtmosphere,
This is an integrated scenario project to the PFLCC line that incorporates updated critical land and water identification project layers with a decision support system for landscape conservation planning in Florida. The scenarios incorporate climate change, urbanization, and policy assumptions into the scenarios.
Categories: Data,
Project;
Tags: Conservation Plan/Design/Framework,
Decision support,
Everview,
LCC Network Science Catalog,
Project,
A high spatial resolution storm surge model was developed for the YK Delta area to assess biological impacts of storm surges under current and future climates. Storm surges are expected to be more frequent and more severe in the YK Delta area due to climate change and sea level rise. The biological impacts in the YK Delta due to the changed storm surges could be extreme.The model was assessed with respect to measured water level data at the coast and, where available, spatial extent of inundation, for 6 storms from the period 1992 to 2011. In total, inundation projections from 9 historical storms (5 from the assessment + 4 others) were developed. For each storm, an spatial inundation index (time-integral of water...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: ARCHAEOLOGICAL AREAS,
ARCHAEOLOGICAL AREAS,
Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
Coastal resource managers are faced with many challenges and uncertainties in planning adaptive strategies for conserving estuarine habitats with climate change. To plan and manage for future scenarios, managers need access to data, models, and training on the best-available science. To address this need, the USGS Western Ecological Research Center has worked with federal, Tribal, state, and local partners to establish a network of study sites in 17 estuaries along the Pacific Coast, examining the climate change effects on tidal wetlands with high-quality local data, downscaled models, and projected storm effects. Study sites include ten USFWS National Wildlife Refuges and four NOAA National Estuarine Research Reserves.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: California,
Climate change,
Downscaling,
Estuaries,
Humboldt Bay,
|
|