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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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
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)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
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)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
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)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
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)...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Beaches,
CMHRP,
Central California,
Central California Coast,
Climate change,
Cross-shore transects (CSTs) developed for Coastal Storm Model (CoSMoS) work in Northern California 3.2 are presented. 3,528 CSTs are numbered consecutively from 8067 at Golden Gate Bridge to 11,594 at the California/Oregon state border. Each of the profiles extend from the approximate -15 m isobath to at least 10 m above NAVD88 (truncated in cases where a lagoon or other waterway exists on the landward end of the profile), and are spaced approximately 100-250 m apart.
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 Program,
The Yukon–Kuskokwim Delta of Alaska,USAis a globally important region for numerous avianspecies including millions of migrating and nesting waterbirds.However, data on the current spatial distributionof critical nesting areas and the importance of environmental variables in the selection of nest locations aregenerally lacking for waterbirds in this region.We modeled nest densities for 6 species of geese and eiders thatcommonly breed on the Yukon–Kuskokwim Delta, including cackling goose (Branta hutchinsii minima),emperor goose (Chen canagica), black brant (B. bernicla nigricans), greater white-fronted goose (Anser albifronsfrontalis), spectacled eider (Somateria fischeri), and common eider (S. mollissima).Thedata...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIRDS,
BIRDS,
CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
DELTAS,
David is a professor in the Department of Geography at University of Victoria, a position he has held since 2010. For the six years prior to that, he was a research scientist and professor at UAF’s International Arctic Research Center/Department of Atmospheric Sciences. He also held Post-Doc positions at Bedford Institute of Oceanography, focusing on environmental forcing of arctic coastal regions (2002-2004), and the University of Ottawa, focusing on high-arctic data issues and computer methods for hemispheric paleo-climate reconstruction (2000-2002). His PhD focused on high-arctic climate issues His primary interests centre around the “environmental forcing” of coastal zones and the analysis of large-scale weather...
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...
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,
In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use attributes within the Puerto Rico StreamStats 2020 study area, and will be served in the Puerto Rico StreamStats 2020 application to describe delineated watersheds. The StreamStats application provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Atmosphere,
Hydrology,
Precipitation,
Precipitation Frequency,
Puerto Rico,
This child page contains the requisite folder structure along with the model input and output data used in calibrating two Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) models during the calibration period of the study detailed in the associated Scientific Investigations Report "Comparison of Storm Runoff Models for a Small Watershed in an Urban Metropolitan Area, Albuquerque, New Mexico" (Shephard and Douglas-Mankin, 2020). One model uses a curve-number based loss method approach, and the other model uses an initial and constant infiltration rate loss method. Each model was used to simulate storm runoff in the Hahn Arroyo Watershed, an urbanized watershed with concrete lined channels in the...
This data release provides flood depth GeoTIFFs based on sea-level rise and wave-driven total water levels for the coast of the most populated Mariana Islands of Guam and Saipan. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding in the populated Mariana Islands due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along the coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios.
Categories: Data;
Tags: CMHRP,
Climate Change,
Coastal Processes,
Coastal and Marine Hazards and Resources Program,
Earth sciences,
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,
This project integrates projections from two climate downscaling approaches into a series of future climate scenarios that will be used to assess the vulnerability of resources and ecosystem services within the Aleutian and Bering Sea Islands LCC. It consists of 4 phases: 1) downscaled climate model integration and synthesis, and engagement with key researchers; 2) the development of a set of likely future climate scenarios based on common model projections; 3) an evaluation and synthesis of vulnerabilities of key resources and ecosystem services; and 4) presentation of results and engagement of regional managers and stakeholders in a dialogue about further research and implications. This project will occur as collaboration...
This project integrates projections from two climate downscaling approaches into a series of future climate scenarios that will be used to assess the vulnerability of resources and ecosystem services within the Aleutian and Bering Sea Islands LCC. It consists of 4 phases: 1) downscaled climate model integration and synthesis, and engagement with key researchers; 2) the development of a set of likely future climate scenarios based on common model projections; 3) an evaluation and synthesis of vulnerabilities of key resources and ecosystem services; and 4) presentation of results and engagement of regional managers and stakeholders in a dialogue about further research and implications. This project will occur as collaboration...
Nearshore bathymetry is a vital link that joins offshore water depths to coastal topography. Seamlesswater depth information is a critical input parameter for reliable storm surge models, enables the calculationof sediment budgets, and is necessary baseline data for a range of coastal development decisions.Bathymetric data collection capabilities of an active coastal geohazard field program operatedby the Alaska Division of Geological & Geophysical Surveys (DGGS) were expanded in 2012. Resultantdatasets presented in this report include nearshore bathymetric measurements of critical shallow-watercoastal areas in the vicinity of six western Alaska communities: Gambell, Golovin, Hooper Bay, Savoonga,Shishmaref, and...
Categories: Data;
Tags: BATHYMETRY,
BATHYMETRY,
COASTAL AREAS,
COASTAL AREAS,
LCC Network Science Catalog,
The Yukon-Kuskokwim Delta of Alaska is a globally important region for numerous avian species including millions of migrating and nesting waterbirds. Climate change effects such as sea level rise and increased storm frequency and intensity have the potential to impact waterbird populations and breeding habitat in the near future. In order to determine the potential impacts of these climate-mediated changes, it is important to monitor the current spatial distribution of important nesting areas and understand the importance of environmental variables in the selection of nest locations. To do this, we modeled nest density for 15 species or composite species of waterbirds that commonly breed on the Yukon-Kuskokwim Delta,...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: BIRDS,
BIRDS,
CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
CLIMATE CHANGE IMPACT ASSESSMENT MODELS,
DELTAS,
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,
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: Data,
Image;
Tags: Academics & scientific researchers,
COASTAL AREAS,
COASTAL AREAS,
COASTAL PROCESSES,
COASTAL PROCESSES,
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