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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 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...
The Humboldt Bay-Eel River region may experience the highest rate of relative sea level rise increase along the West Coast. The Project will engage stakeholders to discuss community and science needs for planning and implementing adaptation measures to sea level rise. The Project is a critical step in developing an ecosystem based-management (EBM) approach to guide the protection, management, enhancement, adaptation, restoration, and possible redistribution of Humboldt Bay-Eel River Delta habitats under future climate scenarios. This process will be informed by the best-available science, the needs of Humboldt Bay-Eel River Delta agricultural producers, and other community members.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2015, Academics & scientific researchers, Academics & scientific researchers, CA-02, CA-2, All tags...
This project obtained information regarding past catastrophic events, such as tsunamis, and TEK through oral history interviews with Tolowa elders regarding the effects of climate change and tsunamis on traditional smelt fishing camps; generated a GIS model of coastal inundation due to sea level rise and overlaid that with known archaeological and ethnographic resources; generated a final report with detailed information of past tsunami events, and modeled the potential effects of climate change and sea level rise on archaeological and ethnographic Tolowa sites using TEK and GIS based upon the results of this study.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, CA-2, CA-2, California, California, All tags...
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Water levels in meters from four wells in Moneystump marsh at Blackwater National Wildlife Refuge, MD. Two wells are located in the upland forest; one well is located in the marsh-forest transition zone (ecotone); and one well is located in the marsh. Water depth of the adjacent creek is reported in meters. Data covers the time span from November 11 2016 - November 11 2017. Pressure transducer data from the wells corrected to water level using barometric pressure loggers located in 3 locations throughout the experiment. Water levels are in units of meters referenced to vertical datum NAVD88. Raw pressure data is in units of kilopascals (kPa). Pressure transducer locations and elevation data from GNSS and digital...
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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 dataset is part of an extensive analysis of sea-level rise impacts on coastal habitats along the Chesapeake Bay, Delaware Bay, and the ocean beaches of southern New Jersey, Delaware, Maryland, and Virginia. The National Wildlife Federation commissioned Jonathan S. Clough of Warren Pinnacle Consulting, Inc., to apply the Sea Level Affecting Marshes Model (SLAMM, Version 5.0) to the Chesapeake Bay region. The SLAMM model is widely regarded as the premier research tool for simulating the dominant processes involved in wetland conversions and shoreline modifications during long-term sea-level rise. Our analysis looked at a range of sea-level rise scenarios from the 2001 Intergovernmental Panel on Climate Change...
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Tidal marshes serve a variety of important functions valued by Maine communities. Unfortunately, tidal marsh habitats are highly vulnerable to damage or loss from sea level rise. Scientists expect marsh habitats will be more frequently flooded in the future and marsh vegetation lost or significantly altered as a result. Salt marshes do, however, have the ability to ‘migrate’ landward with sea level rise-induced changes in shoreline position. The potential and ability for marsh migration is crucial to sustaining these important ecosystems and their functions for the future.Recognizing this, and with financial support from the North Atlantic Landscape Conservation Collaborative (NALCC) and other sources, a team of...
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This dataset is part of an extensive analysis of sea-level rise impacts on coastal habitats along the Chesapeake Bay, Delaware Bay, and the ocean beaches of southern New Jersey, Delaware, Maryland, and Virginia. The National Wildlife Federation commissioned Jonathan S. Clough of Warren Pinnacle Consulting, Inc., to apply the Sea Level Affecting Marshes Model (SLAMM, Version 5.0) to the Chesapeake Bay region. The SLAMM model is widely regarded as the premier research tool for simulating the dominant processes involved in wetland conversions and shoreline modifications during long-term sea-level rise. Our analysis looked at a range of sea-level rise scenarios from the 2001 Intergovernmental Panel on Climate Change...
Coastal wetlands provide many valuable benefits to people and wildlife, including critical habitat, improved water quality, reduced flooding impacts, and protected coastlines. However, in the 21st century, accelerated sea-level rise and coastal development are expected to greatly alter coastal landscapes across the globe. The future of coastal wetlands is uncertain, challenging coastal environmental managers to develop conservation strategies that will increase the resilience of these valuable ecosystems to change and preserve the benefits they provide. One strategy for preparing for the effects of sea-level rise is to ensure that there is space available for coastal wetlands to migrate inland. In a recent study,...
Sea level rise (SLR) and disturbances from increased storm activity are expected to diminish coastal habitats available for sea turtle, seabird, shorebird, and beach mouse nesting by removing habitat as well as inundating nests during critical incubation periods. The goal of our proposed research is to evaluate past nesting patterns of fourteen coastal nesting species and predict future effects of sea level rise on nesting beaches along the South Atlantic Bight. Maps of coastal vulnerability to SLR combined with historical data sets of long-term and spatially extensive nesting habitat will lead to models that enhance our understanding of the complex environmental changes occurring from global climate change and...
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Sea level rise caused by climate change is an ongoing phenomenon and a concern both locally and worldwide. Low-lying coastal areas are particularly at risk to flooding and inundation, affecting a large proportion of the human population concentrated in these areas as well as natural communities-particularly animal species that depend on these habitats as a key component of their life cycle. While more local, state, and federal governments have become concerned with the potential effects that predicted sea levels will have on their communities and coastal landscapes, more information is needed on the potential effects that changes in sea level will have on coastal habitats and species.
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, 2013, 2014, ANIMALS/VERTEBRATES, ANIMALS/VERTEBRATES, All tags...
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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 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 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 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 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 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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A large portion of the U.S. population lives in coastal areas along the Atlantic and Gulf coasts and the Caribbean; however, our coasts are also home to many fish, wildlife, and plant species that are important for recreation, tourism, local economies, biodiversity, and healthy coastal ecosystems. Coastal habitats also provide protective ecosystem services to human communities, which are increasingly at risk to storms and sea level rise under future climate change. Understanding how climate change will impact natural and human communities is a crucial part of decision making and management related to the protection of our coasts. In a collaborative project between the North Atlantic Landscape Conservation Cooperative...
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Data to support carbon (C) budget assessment of tidal freshwater forested wetland and oligohaline marsh ecosystems along the Waccamaw and Savannah rivers, U.S.A. This work represents the first estimates of C standing stocks, C mass balance, soil C burial, and lateral C export to aquatic environments in tidal freshwater forested wetlands undergoing transition to oligohaline marsh. First release: 2018 Revised: May 2019 (ver. 2.0)


map background search result map search result map Chesapeake Bay region sea-level rise modelling - Habitat classification, 2075 (2 meter rise scenario) Chesapeake Bay region sea-level rise modelling - Habitat classification, 2050 (A1B maximum scenario) Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast Using TEK to model the effects of climate change and sea-level rise on coastal cultural resources at Tolowa Dunes State Park, Del Norte County, California Developing Shared Strategies for Sea-level Rise Adaptation in Working Lands of Humboldt Bay and the Eel River Delta Identifying Critical Thresholds and Tipping Points for Priority Coastal Species in a Changing Future Carbon budget assessment of tidal freshwater forested wetland and oligohaline marsh ecosystems along the Waccamaw and Savannah rivers, U.S.A. (2005-2016) Integrating Science into Policy: Local Adaptation for Marsh Migration CoSMoS v3.1 water level projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 flood depth and duration projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 wave-hazard projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 water level projections: 100-year storm in San Luis Obispo County CoSMoS v3.1 ocean-currents hazards: 20-year storm in San Luis Obispo County CoSMoS v3.1 wave-hazard projections: 20-year storm in San Mateo County CoSMoS v3.1 water level projections: 20-year storm in San Mateo County CoSMoS v3.1 water level projections: average conditions in San Mateo County Water levels (November 11 2016 through November 11 2017) for four wells and Light intensity data (October 1 2015 through September 2019): from marsh to upland forest, for Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland CoSMoS v3.1 water level projections: 1-year storm in Santa Cruz County Water levels (November 11 2016 through November 11 2017) for four wells and Light intensity data (October 1 2015 through September 2019): from marsh to upland forest, for Moneystump Marsh, Blackwater National Wildlife Refuge, Maryland Developing Shared Strategies for Sea-level Rise Adaptation in Working Lands of Humboldt Bay and the Eel River Delta CoSMoS v3.1 water level projections: 20-year storm in San Mateo County CoSMoS v3.1 water level projections: average conditions in San Mateo County CoSMoS v3.1 wave-hazard projections: 20-year storm in San Mateo County CoSMoS v3.1 water level projections: 1-year storm in Santa Cruz County Using TEK to model the effects of climate change and sea-level rise on coastal cultural resources at Tolowa Dunes State Park, Del Norte County, California CoSMoS v3.1 water level projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 flood depth and duration projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 wave-hazard projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 water level projections: 100-year storm in San Luis Obispo County CoSMoS v3.1 ocean-currents hazards: 20-year storm in San Luis Obispo County Employing the Conservation Design Approach on Sea-Level Rise Impacts on Coastal Avian Habitats along the Central Texas Coast Carbon budget assessment of tidal freshwater forested wetland and oligohaline marsh ecosystems along the Waccamaw and Savannah rivers, U.S.A. (2005-2016) Integrating Science into Policy: Local Adaptation for Marsh Migration Chesapeake Bay region sea-level rise modelling - Habitat classification, 2075 (2 meter rise scenario) Chesapeake Bay region sea-level rise modelling - Habitat classification, 2050 (A1B maximum scenario) Identifying Critical Thresholds and Tipping Points for Priority Coastal Species in a Changing Future