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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 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 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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Future climate conditions in the Upper Mississippi River Basin are projected to include many more extreme precipitation events. These intense periods of rain can lead to flooding of the Mississippi River itself, as well the small streams and rivers that feed it. This flooding presents a challenge for local communities, farmers, small businesses, river users, and the ecosystems and wildlife in the area. To reduce the damage done by these extreme rainfall events, ‘natural solutions’ are often helpful. This might include preserving forests and grasslands to absorb rainwater before it arrives at streams or restoring wetlands to slow and clean runoff water. For river and natural resource managers to adapt to future climate...
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The Midwest has experienced some of the costliest flooding events in U.S. history, including many billions of dollars during the past decade alone. The Midwest’s susceptibility to flooding has been exacerbated by a long-term increase in total precipitation and extreme rainfalls, with the 2010s being the region’s wettest decade on record Climate models strongly indicate that these recent trends will continue, such that the warming Midwest will experience wetter winters and springs, shortened snow seasons, and extreme year-round precipitation in the future. Despite this high level of confidence in climate trends, there is limited knowledge of how these will translate to flood likelihood and the associated societal...
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The 2017 fire season in California was highly unusual with its late seasonal timing, the areal extent it burned, and its devastation to communities. These fires were associated with extreme winds and were potentially also influenced by unusually dry conditions during several years leading up to the 2017 events. This fire season brought additional attention and emphasized the vital need for managers in the western U.S. to have access to scientific information on when and where to expect dangerous fire events. Understanding the multiple factors that cause extreme wildfire events is critical to short and long-term forecasting and planning. Seasonal climate measures such as temperature and precipitation are commonly...
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National Wildlife Refuges (NWRs) along the East Coast of the United States protect habitat for a host of wildlife species, while also offering storm surge protection, improving water quality, supporting nurseries for commercially important fish and shellfish, and providing recreation opportunities for coastal communities. Yet in the last century, coastal ecosystems in the eastern U.S. have been severely altered by human development activities as well as sea-level rise and more frequent extreme events related to climate change. These influences threaten the ability of NWRs to protect our nation’s natural resources and to sustain their many beneficial services. Through this project, researchers are collaborating with...
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In the northern Gulf of Mexico, mangrove forests have been expanding their northern range limits in parts of Texas, Louisiana, and north Florida since 1989. In response to warming winter temperatures, mangroves, which are dominant in warmer climates, are expected to continue migrating northward at the expense of salt marshes, which fare better in cooler climates. The ecological implications and timing of mangrove expansion is not well understood, and coastal wetland managers need information and tools that will enable them to identify and forecast the ecological impacts of this shift from salt marsh to mangrove-dominated coastal ecosystems. To address this need, researchers will host workshops and leverage existing...
Abstract (from AGU 100): This study investigates snowmelt and streamflow responses to cloudiness variability across the mountainous parts of the western United States. Twenty years (1996–2015) of Geostationary Operational Environmental Satellite‐derived cloud cover indices (CC) with 4‐km spatial and daily temporal resolutions are used as a proxy for cloudiness. The primary driver of nonseasonal fluctuations in daily mean solar insolation is the fluctuating cloudiness. We find that CC fluctuations are related to snowmelt and snow‐fed streamflow fluctuations, to some extent (correlations of <0.5). Multivariate linear regression models of daily snowmelt (MELT) and streamflow (ΔQ) variations are constructed for each...
A new method for automatic detection of atmospheric rivers (ARs) is developed and applied to an atmospheric reanalysis, yielding an extensive catalog of ARs land-falling along the west coast of North America during 1948–2017. This catalog provides a large array of variables that can be used to examine AR cases and their climate-scale variability in exceptional detail. The new record of AR activity, as presented, validated and examined here, provides a perspective on the seasonal cycle and the interannual-interdecadal variability of AR activity affecting the hydroclimate of western North America. Importantly, AR intensity does not exactly follow the climatological pattern of AR frequency. Strong links to hydroclimate...
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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...
Climate change is affecting species and ecosystems across the Northeast and Midwest U.S. Natural resource managers looking to maintain ecological function and species persistence have requested information to improve resource management in the face of climate change. Leveraging the research that has already been supported by the Northeast Climate Adaptation Science Center and its partners, this project used the latest modeling techniques combined with robust field data to examine the impact of specific climate variables, land use change, and species interactions on the future distribution and abundance of species of conservation concern. An interdisciplinary team worked to understand the mechanisms that are driving...
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Drought and wildfire pose enormous threats to the integrity of natural resources that land managers are charged with protecting. Recent observations and modeling forecasts indicate that these stressors will likely produce catastrophic ecosystem transformations, or abrupt changes in the condition of plants, wildlife, and their habitats, in regions across the country in coming decades. In this project, researchers will bring together land managers who have experienced various degrees of ecosystem transformation (from not yet experiencing any changes to seeing large changes across the lands they manage) to share their perspectives on how to mitigate large-scale changes in land condition. The team will conduct surveys...
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As the impacts of climate change amplify, understanding the consequences for wetlands will be critical for their sustainable management and conservation, particularly in arid regions such as the Columbia Plateau. The depressional wetlands in this region (wetlands located in topographic depressions where water can accumulate) are an important source of surface water during the summer months. However, their health depends directly on precipitation and evaporation, making them susceptible to changes in temperature and precipitation. Yet few tools for monitoring water movement patterns (hydrology) in and out of these landscapes currently exist, hindering efforts to model how they are changing. This project provided...
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The beaches of the Hawaiian Islands attract nearly 9 million visitors each year, who inject around $15.6 billion into the state’s economy and support almost 200,000 jobs. Beyond their economic importance, Hawaiian beaches are also culturally and ecologically valuable. However, climate change driven sea-level rise is causing many beaches to disappear, endangering property, infrastructure, and critical habitats. The goal of this project was to develop a method for forecasting erosion-vulnerable beach areas that could be used in coastal management planning. Researchers focused on the island of Kauaʻi, modeling beach response to rising sea level over the next century and producing maps that provide information about...
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The South Central U.S. encompasses a wide range of ecosystem types and precipitation patterns. Average annual precipitation is less than 10 inches in northwest New Mexico but can exceed 60 inches further east in Louisiana. Much of the region relies on warm-season convective precipitation – that is, highly localized brief but intense periods of rainfall that are common in the summer. This type of precipitation is a significant driver of climate and ecosystem function in the region, but it is also notoriously difficult to predict since it occurs at such small spatial and temporal scales. While global climate models are helpful for understanding and predicting large-scale precipitation trends, they often do not capture...
The goal of barrier island restoration in the northern Gulf of Mexico is to restore barrier island morphology using sediment to support the functions and habitats the islands provide. Barrier island restoration typically involves placement of sediment either directly on the island footprint or within the littoral zone for system transport and distribution. The re-engineering of barrier islands presents numerous challenges and uncertainties associated with climate change induced hurricanes/storms and other dynamic components of the system such as sediment availability and erosional trends. The goal of this study was to use a collaborative SDM approach to develop two Bayesian decision network models (DMs) for restoration...
map background search result map search result map Improving Representation of Extreme Precipitation Events in Regional Climate Models Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi Climate Change Adaptation for Coastal National Wildlife Refuges Can We Conserve Wetlands Under a Changing Climate? Mapping Wetland Hydrology in the Columbia Plateau Tijuana: Tidal Marsh Digital Elevation Model Preventing Extreme Fire Events by Learning from History: The Effects of Wind, Temperature, and Drought Extremes on Fire Activity Identifying the Ecological and Management Implications of Mangrove Migration in the Northern Gulf of Mexico CoSMoS v3.1 wave-hazard projections: 100-year storm in San Luis Obispo County CoSMoS v3.1 water level projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 water level projections: 20-year storm in Santa Cruz County Learning From the Past and Planning for the Future: Experience-Driven Insight Into Managing for Ecosystem Transformations Induced by Drought and Wildfire CoSMoS v3.1 ocean-currents hazards: 20-year storm in Monterey County CoSMoS v3.1 ocean-currents hazards: 100-year storm in Monterey County Workshop: Natural Solutions to Ecological and Economic Problems Caused by Extreme Precipitation Events in the Upper Mississippi River Basin The Combined Effects of Seasonal Climate and Extreme Precipitation on Flood Hazard in the Midwest Tijuana: Tidal Marsh Digital Elevation Model Forecasting Beach Loss from Sea-Level Rise on the Island of Kauaʻi CoSMoS v3.1 water level projections: 20-year storm in Santa Cruz County Climate Change Adaptation for Coastal National Wildlife Refuges CoSMoS v3.1 wave-hazard projections: 100-year storm in San Luis Obispo County CoSMoS v3.1 water level projections: 20-year storm in San Luis Obispo County CoSMoS v3.1 ocean-currents hazards: 20-year storm in Monterey County CoSMoS v3.1 ocean-currents hazards: 100-year storm in Monterey County Can We Conserve Wetlands Under a Changing Climate? Mapping Wetland Hydrology in the Columbia Plateau Preventing Extreme Fire Events by Learning from History: The Effects of Wind, Temperature, and Drought Extremes on Fire Activity Learning From the Past and Planning for the Future: Experience-Driven Insight Into Managing for Ecosystem Transformations Induced by Drought and Wildfire Workshop: Natural Solutions to Ecological and Economic Problems Caused by Extreme Precipitation Events in the Upper Mississippi River Basin The Combined Effects of Seasonal Climate and Extreme Precipitation on Flood Hazard in the Midwest Improving Representation of Extreme Precipitation Events in Regional Climate Models Identifying the Ecological and Management Implications of Mangrove Migration in the Northern Gulf of Mexico