Recent Publications - April-May 2019
List of recent USGS publications based on coastal and marine research.
Related Content
Surrogate model development for coastal dune erosion under storm conditions
Optimizing an inner-continental shelf geologic framework investigation through data repurposing and machine learning
Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model
Assessing morphologic controls on atoll island alongshore sediment transport gradients due to future sea-level rise
Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium
Spatial and temporal variability in ripple formation and migration across a coral reef flat and lagoon
Rigorously valuing the role of U.S. coral reefs in coastal hazard risk reduction
Improving estimates of coral reef construction and erosion with in-situ measurements
An economic evaluation of adaptation pathways in coastal mega cities: An illustration for Los Angeles
Sea level rise and uncertainty in its projections pose a major challenge to flood risk management and adaptation investments in coastal mega cities. This study presents a comparative economic evaluation method for flood adaptation measures, which couples a cost–benefit analysis with the concept of adaptation pathways. Our approach accounts for uncertainty in sea level rise projections by allowing
Role of tidal wetland stability in lateral fluxes of particulate organic matter and carbon
Shallow structure and geomorphology along the offshore northern San Andreas Fault, Tomales Point to Fort Ross, California
We mapped a poorly documented 35-km-long section of the northern San Andreas fault zone (NSAF) between Tomales Point and Fort Ross, California. Mapping is largely based on high-resolution seismic-reflection profiles (38 fault crossings), multibeam bathymetry, and onshore geology. NSAF strike in this section is nearly parallel to plate motion, characterized by a slight (~2°) northerly (transtension
Analysis and visualization of coastal ocean model data in the cloud
Related Content
Surrogate model development for coastal dune erosion under storm conditions
Optimizing an inner-continental shelf geologic framework investigation through data repurposing and machine learning
Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model
Assessing morphologic controls on atoll island alongshore sediment transport gradients due to future sea-level rise
Xenon hydrate as an analogue of methane hydrate in geologic systems out of thermodynamic equilibrium
Spatial and temporal variability in ripple formation and migration across a coral reef flat and lagoon
Rigorously valuing the role of U.S. coral reefs in coastal hazard risk reduction
Improving estimates of coral reef construction and erosion with in-situ measurements
An economic evaluation of adaptation pathways in coastal mega cities: An illustration for Los Angeles
Sea level rise and uncertainty in its projections pose a major challenge to flood risk management and adaptation investments in coastal mega cities. This study presents a comparative economic evaluation method for flood adaptation measures, which couples a cost–benefit analysis with the concept of adaptation pathways. Our approach accounts for uncertainty in sea level rise projections by allowing
Role of tidal wetland stability in lateral fluxes of particulate organic matter and carbon
Shallow structure and geomorphology along the offshore northern San Andreas Fault, Tomales Point to Fort Ross, California
We mapped a poorly documented 35-km-long section of the northern San Andreas fault zone (NSAF) between Tomales Point and Fort Ross, California. Mapping is largely based on high-resolution seismic-reflection profiles (38 fault crossings), multibeam bathymetry, and onshore geology. NSAF strike in this section is nearly parallel to plate motion, characterized by a slight (~2°) northerly (transtension
Analysis and visualization of coastal ocean model data in the cloud
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