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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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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. In 2009, the Kootenai Tribe of Idaho released and implemented the Kootenai River Habitat Restoration Master Plan. This plan aimed to restore, enhance, and maintain the Kootenai River habitat and landscape to support and sustain habitat conditions for aquatic species and animal populations. In support of these restoration efforts, the U.S. Geological Survey, in cooperation with the Kootenai Tribe of Idaho, conducted high-resolution...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The substrate enhancement pilot project (SEPP) extent GIS layer represents an area where an artificial substrate will be placed. The artificial substrate, consisting of a mixed size class of gravel, is aimed at providing a more suitable substrate for sturgeon eggs and early-life rearing habitat. The location of the SEPP extent was created by analyzing the egg-mat network, bathymetric features, surficial sediment facies, and streamflow...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The surficial bed-sediment facies, herein after referred to as the sediment facies, quantitatively describes the dominant sediment substrate on the surface of the river bed. Sediment facies categories were based on the grain size distribution of Wentworth (1922) which included the following ranges or combination of ranges: gravel (2-64mm), sand (0.063-2mm) and silt/clay (less than 0.063mm). An underwater video monitoring system UVMS...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Missouri River near dual bridges structure A4557 on Missouri State Highway 370 near St. Louis, Missouri, in 2010, 2011, and 2016. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and...
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These data are high-resolution bathymetry (riverbed elevation) and depth-averaged velocities in ASCII format, generated from hydrographic and velocimetric surveys of the Mississippi River near structures A4936/A1850 on Interstate 255 near St. Louis, Missouri, in 2008, 2009, 2010 and 2016. Hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and stored the depth data from the MBES and the horizontal...
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These data are high-resolution bathymetry (riverbed elevation) in ASCII format, generated from hydrographic surveys near six highway bridge structures over the Gasconade River in central Missouri. These sites were surveyed in June 2017 to help identify possible effects from extreme flooding on May 1-2, 2017. At the five downstream sites, hydrographic data were collected using a high-resolution multibeam echosounder mapping system (MBMS), which consists of a multibeam echosounder (MBES) and an inertial navigation system (INS) mounted on a marine survey vessel. Data were collected as the vessel traversed the river along planned survey lines distributed throughout the reach. Data collection software integrated and...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...


map background search result map search result map SiteID-026 Two Medicine River at US-89 near Browning, MT SiteID-005 Snake River at Ferry Butte Road, near Blackfoot, ID SiteID-028 Smith Branch at S-126, at Columbia, SC UMRR Illinois River Dresden Reach Bathymetry Footprint UMRR Mississippi River Open River North Bathymetry Footprint Site 26 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A4557 on Missouri State Highway 370 near St. Louis, Missouri, October 2010 through May 2016 Site 35 Mississippi River Bathymetry and Velocimetry Data at Structures A4936/A1850 on Interstate 255 near St. Louis, Missouri, October 2008 through May 2016 Bathymetric Data at Highway Bridges crossing the Lower Gasconade River after the May 2017 Flood in Central Missouri Elevation raster, Morris Lake (Newton Reservoir), New Jersey, 2018 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 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 Nearshore bathymetry data from the Elwha River delta, Washington, January 2015, collected from kayak CoSMoS v3.1 flood depth and duration projections: 1-year storm in Monterey County Braided Reach Cross-Section Monitoring Surveys, Kootenai River near Bonners Ferry, Idaho, 2011 Myrtle Bend Substrate Enhancement Pilot Project Extent, Kootenai River near Bonners Ferry, ID, 2014 Surficial Sediment Facies features near the Myrtle Bend Confluence with the Kootenai River near Bonners Ferry, ID Myrtle Bend Substrate Enhancement Pilot Project Extent, Kootenai River near Bonners Ferry, ID, 2014 SiteID-028 Smith Branch at S-126, at Columbia, SC SiteID-005 Snake River at Ferry Butte Road, near Blackfoot, ID SiteID-026 Two Medicine River at US-89 near Browning, MT Surficial Sediment Facies features near the Myrtle Bend Confluence with the Kootenai River near Bonners Ferry, ID Nearshore bathymetry data from the Elwha River delta, Washington, January 2015, collected from kayak Site 26 Missouri River Bathymetry and Velocimetry Data at Dual Bridge Structure A4557 on Missouri State Highway 370 near St. Louis, Missouri, October 2010 through May 2016 Site 35 Mississippi River Bathymetry and Velocimetry Data at Structures A4936/A1850 on Interstate 255 near St. Louis, Missouri, October 2008 through May 2016 Elevation raster, Morris Lake (Newton Reservoir), New Jersey, 2018 UMRR Illinois River Dresden Reach Bathymetry Footprint 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 wave-hazard projections: average conditions in Santa Barbara County CoSMoS v3.1 water level projections: average conditions in Santa Barbara County Bathymetric Data at Highway Bridges crossing the Lower Gasconade River after the May 2017 Flood in Central Missouri 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 flood depth and duration projections: 1-year storm in Monterey County UMRR Mississippi River Open River North Bathymetry Footprint