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American Samoa is vulnerable to sea-level rise in part due to the steep terrain of its islands. This terrain requires the majority of the islands’ villages and infrastructure to be located along thin strips of coastal land. The situation is worsened by the recently recognized rapid sinking of the islands, which was triggered by the 2009 Samoa earthquake and is predicted to last for decades. This subsidence is estimated to lead to roughly twice as much sea-level rise by 2060 as what is already predicted from climate change alone. As a result, the timeline of coastal impacts in American Samoa will be decades ahead of similar island communities in the Pacific. Despite this urgency, decision-makers in the region lack...
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The Intergovernmental Panel on Climate Change reports that low-lying atolls (ring-shaped islands or island chains made of coral) in the Pacific Ocean are extremely vulnerable to high tide events (“king tides”), storm surge, tsunamis, and sea-level rise. The Republic of the Marshall Islands (RMI) spreads over 29 atolls and has a population of over 50,000 people with homes and communities that may be threatened by these climate change-related events. Policy makers, planners, and others within RMI are faced with decisions about how to prepare for the future and need scientific data and information about the vulnerability of Pacific Islands to potential climate change impacts like sea-level rise. Topographic and bathymetric...
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Suicide Basin is a glacier-fed lake that branches off Mendenhall Glacier in Juneau, Alaska. Since 2011, Suicide Basin has been collecting melt- and rainwater each summer, creating a temporary glacier-dammed lake. Water that accumulates typically gets released through channels that run beneath the glacier. These channels are normally blocked by ice, but if the water pressure gets too high the channel breaks open, rapidly draining the basin in what is known as an “outburst flood”. In past years, these events have led to flooding along Mendenhall Lake and Mendenhall River in the most heavily populated neighborhood of Juneau. Because of the threats posed to infrastructure in the Mendenhall Valley, it is critical that...
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Freshwater mussels are an important component of freshwater ecosystems. They can filter a large amount of water, affecting both water clarity and water chemistry. Their shells provide physical habitat for other organisms, they re-direct necessary nutrients to the bottom of the water column, and their excreted material can enhance the growth of algae and macroinvertebrates. However, dramatic declines of freshwater mussels have occurred due to habitat loss, destruction and modification, pollution, and invasive species. One mussel species in Texas (Texas Hornshell) has been listed as endangered under the Endangered Species Act and several other species are candidates for listing. Changes in precipitation patterns...
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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 dataset contains projections for Monterey County. 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. CoSMoS v3.1 for Central California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. Data for Central California covers the coastline from Pt. Conception to Golden Gate Bridge. Methods and...
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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 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 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 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 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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California - one of the nation's most populous states - hosts extensive public lands, crown-jewel national parks, and diverse natural resources. Resource managers in federal, state, tribal, and local agencies face challenges due to environmental changes and extreme events such as severe droughts, heat waves, flood events, massive wildfires, and forest dieback. However, state-of-the-art research that could aid in the management of natural resources facing these challenges is typically slow to be applied, owing to limited time and capacity on the part of both researchers and managers. This project aims to accelerate the application of science to resource management by facilitating the translation and synthesis of...
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To assess the current topography of the tidal marshes we conducted survey-grade elevation surveys at all sites between 2009 and 2013 using a Leica RX1200 Real Time Kinematic (RTK)Global Positioning System (GPS) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK network coverage (San Pablo, Petaluma, Pt. Mugu, and Newport), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Humboldt, Bolinas, Morro and Tijuana), rover positions were received in real time from a Leica GS10 antenna base station via radio link. When using the base station, we adjusted...
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To assess the current topography of the tidal marshes we conducted survey-grade elevation surveys at all sites between 2009 and 2013 using a Leica RX1200 Real Time Kinematic (RTK)Global Positioning System (GPS) rover (±1 cm horizontal, ±2 cm vertical accuracy; Leica Geosystems Inc., Norcross, GA; Figure 4). At sites with RTK network coverage (San Pablo, Petaluma, Pt. Mugu, and Newport), rover positions were received in real time from the Leica Smartnet system via a CDMA modem (www.lecia-geosystems.com). At sites without network coverage (Humboldt, Bolinas, Morro and Tijuana), rover positions were received in real time from a Leica GS10 antenna base station via radio link. When using the base station, we adjusted...
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We used WARMER, a 1-D cohort model of wetland accretion (Swanson et al., 2014), which is based on Callaway et al. (1996), to examine the effects of three SLR projections on future habitat composition at each study site. Each cohort in the model represents the total organic and inorganic matter added to the soil column each year. WARMER calculates annual elevation changes relative to MSL based on projected changes in relative sea level, subsidence, inorganic sediment accumulation, aboveground and belowground organic matter inputs, soil compaction, and organic matter decomposition for a representative marsh area. Cohort density, a function of soil mineral, organic, and water content, is calculated at each time step...
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We used WARMER, a 1-D cohort model of wetland accretion (Swanson et al., 2014), which is based on Callaway et al. (1996), to examine the effects of three SLR projections on future habitat composition at each study site. Each cohort in the model represents the total organic and inorganic matter added to the soil column each year. WARMER calculates annual elevation changes relative to MSL based on projected changes in relative sea level, subsidence, inorganic sediment accumulation, aboveground and belowground organic matter inputs, soil compaction, and organic matter decomposition for a representative marsh area. Cohort density, a function of soil mineral, organic, and water content, is calculated at each time step...
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Extreme weather events (such as floods, ice storms, tropical cyclones, and tornadoes) are increasing in frequency and causing severe consequences throughout the U.S. and particularly in Louisiana. These natural disasters are especially devastating for farmers, whose livelihoods depend on the environment. Most climate research and extension outreach focus on large-scale farmers and tend to reach White farmers who outnumber other farming communities, often failing to connect with smallholding and African American farmers. While these farmers make up less of the total agricultural population and economy, they are a critical part of the agricultural and ecological systems and a crucial component in building sustainable...


map background search result map search result map Morro Bay, California: Tidal Marsh Digital Elevation Model Pt. Mugu, California: Tidal Marsh Digital Elevation Model SLR Projections, Bolinas, Calif., 2010-2060 SLR Projections, Pt. Mugu, Calif., 2070-2110 Collecting Elevation Data to Understand Climate Change Effects in the Marshall Islands Improving Forecasts of Glacier Outburst Flood Events Improving and Accelerating the Application of Science to Natural Resource Management in California CoSMoS v3.1 water level projections: 1-year storm in San Luis Obispo County CoSMoS v3.1 wave-hazard projections: average conditions in Santa Barbara County CoSMoS v3.1 water level projections: average conditions in Santa Barbara County CoSMoS v3.1 flood depth and duration projections: 20-year storm in San Luis Obispo County Assessing the Impacts of Rapid Rainfall Shifts (“Whiplashes” and “Boomerangs”) on Freshwater Mussels in Central Texas CoSMoS v3.1 wave-hazard projections: 100-year storm in San Mateo County CoSMoS v3.1 ocean-currents hazards: 20-year storm in San Mateo County CoSMoS v3.1 water level projections: 1-year storm in Santa Cruz County Sea-Level Rise Viewer for American Samoa: A Co-Developed Visualization and Planning Tool CoSMoS v3.1 - Monterey County CoSMoS v3.1 flood depth and duration projections: 1-year storm in Monterey County CoSMoS v3.1 flood depth and duration projections: 100-year storm in Monterey County Assessing the Needs and Adaptation Practices of Smallholding and African American Farmers Facing Extreme Weather Events in Louisiana SLR Projections, Pt. Mugu, Calif., 2070-2110 Pt. Mugu, California: Tidal Marsh Digital Elevation Model SLR Projections, Bolinas, Calif., 2010-2060 Morro Bay, California: Tidal Marsh Digital Elevation Model Improving Forecasts of Glacier Outburst Flood Events Collecting Elevation Data to Understand Climate Change Effects in the Marshall Islands CoSMoS v3.1 wave-hazard projections: average conditions in Santa Barbara County CoSMoS v3.1 water level projections: average conditions in Santa Barbara County CoSMoS v3.1 water level projections: 1-year storm in Santa Cruz County 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 - Monterey County CoSMoS v3.1 flood depth and duration projections: 1-year storm in Monterey County CoSMoS v3.1 flood depth and duration projections: 100-year storm in Monterey County Sea-Level Rise Viewer for American Samoa: A Co-Developed Visualization and Planning Tool Assessing the Needs and Adaptation Practices of Smallholding and African American Farmers Facing Extreme Weather Events in Louisiana Improving and Accelerating the Application of Science to Natural Resource Management in California Assessing the Impacts of Rapid Rainfall Shifts (“Whiplashes” and “Boomerangs”) on Freshwater Mussels in Central Texas