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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.
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/2016JD024796/abstract): A significant challenge with dynamical downscaling of climate simulations is the ability to accurately represent convection and precipitation. The use of convection-permitting resolutions avoids cumulus parameterization, which is known to be a large source of uncertainty. A regional climate model (RCM) based on the Weather Research and Forecasting model is configured with a 4 km grid spacing and applied to the U.S. Great Plains, a region characterized by many forms of weather and climate extremes. The 4 km RCM is evaluated by running it in a hindcast mode over the central U.S. region for a 10 year period, forced at the boundary by...
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Climate change adaptation research has made major advances over the last decade. For example, much is known about the impacts of climate change, many novel adaptation planning approaches have been developed, decision tools have become ubiquitous, and many novel adaptation options have been proposed. However, additional research is needed to demonstrate how these adaptation planning schemes can translate to implementation on the ground. The area in and around the Yosemite and Sequoia National Parks in Southern Sierra Nevada serve as ideal natural laboratories to study the impacts of climate change and the effectiveness of various on-the-ground forest treatments and restoration designs. Southern Sierra Nevada faces...
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Historical and projected climate data point toward significant changes in the future for the Northeastern and Midwestern U.S. These changes will include impacts to many species (like birds, fish, and mammals), ecosystems (like forests), and natural resources (like water) that humans appreciate and rely on. In order to prepare for these changes, land and resource managers need to be able to predict how species will respond, what specific mechanisms are driving these changes, and what thresholds wildlife species may soon be pushed across. Crossing these thresholds could lead to rapid change or decline in the health of a wildlife population. In response to this need, a team of researchers is working to identify the...
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Climate change and the extreme weather associated with it can be a major challenge to landowners and land managers interested in the protection, restoration, recovery, and management of wetlands and wildlife habitats. The Midwest is not only experiencing an increase in average temperatures and precipitation, but also an increase in the frequency of extreme events, such as heat waves and floods. Forecasting the potential impacts of the changes over the next 25 to 50 years will be important for decision makers and landowners seeking to minimize the impacts to infrastructure and to the habitats themselves and prepare for the future. Changes in flood frequency threaten habitat management infrastructure and actions,...
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This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with 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...
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This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with 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...
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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 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 geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated with 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...
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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 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 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 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 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 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 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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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...


map background search result map search result map Examining the Responses of Species to Climate Change: Will Wildlife Face Biological Thresholds? Vulnerability Assessment and Adaptation Planning for Projected Changes in Water Quality and Quantity for Protected Areas in the Upper Mississippi Watershed CoSMoS v3.1 flood hazard projections: average conditions in San Barbara County CoSMoS v3.1 wave-hazard projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 ocean-currents hazards: 20-year storm in Santa Barbara County CoSMoS v3.1 ocean-currents hazards: average conditions in Santa Barbara County CoSMoS v3.1 water level projections: average conditions in San Luis Obispo County CoSMoS v3.1 ocean-currents hazards: 100-year storm in San Luis Obispo County CoSMoS v3.1 flood depth and duration projections: 1-year storm in San Mateo County CoSMoS v3.1 flood depth and duration projections: 20-year storm in San Mateo County CoSMoS v3.1 flood hazard projections: 100-year storm in San Mateo County CoSMoS v3.1 wave-hazard projections: 1-year storm in San Francisco County CoSMoS v3.1 flood depth and duration projections: 1-year storm in San Francisco County CoSMoS v3.1 ocean-currents hazards: 100-year storm in San Francisco County CoSMoS v3.1 flood depth and duration projections: average conditions in San Francisco County CoSMoS v3.1 flood hazard projections: 20-year storm in Santa Cruz County Designing Climate-Resilient Habitat for At-Risk Species in the Southern Sierra Nevada Forest CoSMoS 3.2 Northern California Tier 1 FLOW-WAVE model input files Salish Sea water level simulation projections: 2016-2099 CoSMoS v3.1 wave-hazard projections: 1-year storm in San Francisco County CoSMoS v3.1 flood depth and duration projections: 1-year storm in San Francisco County CoSMoS v3.1 ocean-currents hazards: 100-year storm in San Francisco County CoSMoS v3.1 flood depth and duration projections: average conditions in San Francisco County CoSMoS v3.1 flood depth and duration projections: 20-year storm in San Mateo County CoSMoS v3.1 flood depth and duration projections: 1-year storm in San Mateo County CoSMoS v3.1 flood hazard projections: 100-year storm in San Mateo County CoSMoS v3.1 flood hazard projections: average conditions in San Barbara County CoSMoS v3.1 ocean-currents hazards: 20-year storm in Santa Barbara County CoSMoS v3.1 ocean-currents hazards: average conditions in Santa Barbara County CoSMoS v3.1 flood hazard projections: 20-year storm in Santa Cruz County CoSMoS v3.1 wave-hazard projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 water level projections: average conditions in San Luis Obispo County CoSMoS v3.1 ocean-currents hazards: 100-year storm in San Luis Obispo County Salish Sea water level simulation projections: 2016-2099 CoSMoS 3.2 Northern California Tier 1 FLOW-WAVE model input files Designing Climate-Resilient Habitat for At-Risk Species in the Southern Sierra Nevada Forest Vulnerability Assessment and Adaptation Planning for Projected Changes in Water Quality and Quantity for Protected Areas in the Upper Mississippi Watershed Examining the Responses of Species to Climate Change: Will Wildlife Face Biological Thresholds?