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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 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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Low-lying public lands along the northern Gulf of Mexico coast are vulnerable to sea-level rise. Coastal planners and resource managers in the region have requested customized information that can be used to concisely communicate local sea-level rise scenarios and identify potential impacts to the missions of management agencies. In this project, researchers will work with the Northern Gulf of Mexico Sentinel Site Cooperative to develop fact sheets outlining potential sea-level rise scenarios for the region through 2100, and the potential impacts of these varying amounts of sea-level rise on the missions of national wildlife refuge and national park lands along the U.S. Gulf Coast. Researchers will draw from existing...
This Project Snapshot provides a brief overview summary of the project "Measurement of El Niño Southern Oscillation (ENSO)-related Climate Conditions and Ecosystem Responses in Hawai'i"
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/joc.4862/abstract): Spatial patterns of rainfall in Hawai‘i are among the most diverse in the world. As the global climate warms, it is important to understand observed rainfall variations to provide context for future changes. This is especially important for isolated oceanic islands where freshwater resources are limited, and understanding the potential impacts of climate change on the supply of freshwater is critical. Utilizing a high-resolution gridded data set of monthly and annual rainfall for Hawai‘i from January 1920 to December 2012, seasonal and annual trends were calculated for every 250-m pixel across the state and mapped to produce spatially...
Landscape capability (LC) models are a spatial tool with potential applications in conservation planning. We used survey data to validate LC models as predictors of occurrence and abundance at broad and fine scales for American woodcock (Scolopax minor) and ruffed grouse (Bonasa umbellus). Landscape capability models were reliable predictors of occurrence but were less indicative of relative abundance at route (11.5–14.6 km) and point scales (0.5–1 km). As predictors of occurrence, LC models had high sensitivity (0.71–0.93) and were accurate (0.71–0.88) and precise (0.88 and 0.92 for woodcock and grouse, respectively). Models did not predict point-scale abundance independent of the ability to predict occurrence...
This is the original submission. The other files are converted to .tiff format from these.
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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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This project identifies opportunities to manage flows, connections, and landscapes to increase the resilience of human communities and ecosystems. This research identifies dynamic and adaptive solutions to managing river flows that allow continued provision of valuable infrastructure services such as flood control, hydropower, and water supply, while also supporting thriving river ecosystems - both today and into the future. The goals of the research were to: 1) Evaluate the potential impacts of climate change on hydrologic regimes, 2) Determine the flow regime changes that will be required to provide riverine environmental services and any risk associated with these changes, and 3) Explore management alternatives...
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The United States National Park Service (NPS) declared climate change as “the greatest threat to the integrity of our national parks that we have ever experienced.” Climate change is causing not only higher average temperatures in most places but also increasing the severity of storms, the number of heatwaves and wildfires, and causing heavier rainfall. These extreme weather conditions pose major threats to National Parks, which face the loss of wildlife, plants, and important historical and cultural sites. To prevent further loss of our country’s natural and cultural heritage in the next 20 years, plans, strategies, and actions are needed now, rather than for 50-100 years into the future. This research team will...
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Climate change is poised to increase the frequency and intensity of extreme weather events – such as tornadoes, flooding, drought, and snowstorms – which may damage buildings and other structures, cause economic hardship, disrupt plant and wildlife communities, and endanger people’s physical and emotional health. The purpose of this project was to enhance the knowledge of local tribal environmental professionals in Oklahoma related to planning for extreme weather events as a result of climate change. Researchers hosted a one-day workshop at the University of Oklahoma (OU) that was attended by professionals representing at least five tribes, as well as interdisciplinary scholars and students engaged in climate...
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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 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 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 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)...
map background search result map search result map Identifying Tribal Vulnerabilities and Supporting Planning for Extreme Weather Events Science to Inform the Reconnection of Floodplains and Restoration of Green Space to Minimize Risk in the Future Newport, CA: Tidal Marsh Digital Elevation Model SLR Projections, Morro Bay, Calif., 2070-2110 Communicating Future Sea-Level Rise Scenarios for Gulf Coast National Wildlife Refuge and National Park Lands CoSMoS v3.1 flood hazard projections: 1-year storm in San Barbara County CoSMoS v3.1 water level projections: 20-year storm in Santa Barbara County CoSMoS v3.1 ocean-currents hazards: 1-year storm in San Mateo County CoSMoS v3.1 flood depth and duration projections: 20-year storm in San Francisco County CoSMoS v3.1 wave-hazard projections: 100-year storm in San Francisco County CoSMoS v3.1 water level projections: average conditions in San Francisco County CoSMoS v3.1 flood hazard projections: 100-year storm in San Francisco County CoSMoS v3.1 wave-hazard projections: 100-year storm in Monterey County Planning Grant: Understanding the Impacts of Extreme Events on Our National Parks: Past, Present, and Future Newport, CA: Tidal Marsh Digital Elevation Model SLR Projections, Morro Bay, Calif., 2070-2110 CoSMoS v3.1 ocean-currents hazards: 1-year storm in San Mateo County CoSMoS v3.1 flood hazard projections: 1-year storm in San Barbara County CoSMoS v3.1 water level projections: 20-year storm in Santa Barbara County CoSMoS v3.1 wave-hazard projections: 100-year storm in Monterey County Science to Inform the Reconnection of Floodplains and Restoration of Green Space to Minimize Risk in the Future Identifying Tribal Vulnerabilities and Supporting Planning for Extreme Weather Events Planning Grant: Understanding the Impacts of Extreme Events on Our National Parks: Past, Present, and Future Communicating Future Sea-Level Rise Scenarios for Gulf Coast National Wildlife Refuge and National Park Lands