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These data present suspended particle size distributions collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center at three locations in the Sacramento-San Joaquin Delta. Data were collected in Lindsey Slough on April 4 and April 18, 2017, and near the mouth of the Mokelumne River and in Middle River on March 14, 2018 by deploying a Sequoia Scientific Laser In-situ Scattering and Transmissometry instrument (LISST 100x) from a small vessel during the deployment of the hydrographic time series data instruments. At each site, data were collected 1 to 2 times, generally near the water surface, at mid depth, and near the sediment bed. These data were collected as part of a study on the...
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These metadata describe bathymetric data collected during a December 2018 SWATHPlus survey of Whiskeytown Lake, California. Data were collected and processed by the U.S. Geological Survey (USGS), Pacific Coastal and Marine Science Center (PCMSC) during fieldwork activity number 2018-686-FA. The bathymetric data are provided as a GeoTIFF image.
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This portion of the data release presents a digital surface model (DSM) and digital elevation model (DEM) of the exposed Los Padres Reservoir delta where the Carmel River enters the reservoir. The DSM and DEM have a resolution of 10 centimeters per pixel and were derived from structure-from-motion (SfM) processing of aerial imagery collected with an unoccupied aerial system (UAS) on 2017-11-01. The DSM represents the elevation of the highest object within the bounds of a cell, including vegetation, woody debris and other objects. The DEM represent the elevation of the ground surface where it was visible to the acquisiton system. Due to the nature of SfM processing, the DEM may not represent a true bare-earth surface...
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Rainfall measurements were collected in and near the Dolan Fire burn area, Los Padres National Forest, California. The CZU Fire ignited in Los Padres National Forest, California, on August 18, 2020. By the time of full containment on December 31, 2020, the fire had burned 518 km2 (128,050 acres) in Monterey County. The U.S. Geological Survey (USGS) installed seven rain gages in and near the Dolan Fire burn area in October 2021 to measure rainfall during two post-fire wet seasons. This data release contains rain records from the Mill Creek and upper Nacimiento River watersheds collected during water year 2023 (October 1, 2022, through spring 2023). Previous datasets from this region included an additional rain gage...
This dataset contains information on the probabilities of storm-induced erosion (collision, inundation and overwash) for each 100-meter (m) section of the United States Pacific coast for return period storm scenarios. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the hydrodynamic forcing. Storm-induced water levels, due to both surge and waves, are compared to coastal elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on morphology (dune crest and toe elevation) and hydrodynamics (storm surge,...
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This data release presents data for 5-m resolution multibeam-bathymetry and acoustic-backscatter data of the northern Channel Islands region, southern California. In 2004 the U.S. Geological Survey, Pacific Coastal and Marine Science Center collected multibeam-bathymetry and acoustic-backscatter data in the northern Channel Islands region, southern California. The region was mapped aboard the R/V Ewing using a Kongsberg Simrad EM-1002 multibeam echosounder. These data were previously published on-line at http://pubs.usgs.gov/of/2005/1153/. In this data release the data have been reprocessed to a finer spatial resolution (5-m versus 15-m) using more modern processing techniques. Due to the large file sizes the entire...
This data release contains mean high water (MHW) shorelines for sandy beaches along the coast of California for the years 1998/2002, 2015, and 2016. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. The operational MHW line was extracted from Light Detection and Ranging (LiDAR) digital elevation models (DEMs) using the ArcGIS smoothed contour method. The smoothed contour line was then quality controlled to remove artifacts, as well as remove any contour tool interpretation of human-made infrastructure (such as jetties, piers, and sea walls), using satellite imagery from ArcGIS.
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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...


map background search result map search result map Swell-filtered, high-resolution seismic-reflection data collected between Punta Gorda and Fort Bragg (northern California) during field activity B-04-12-NC from 09/17/2012 to 09/25/2012 High-resolution multibeam bathymetry and backscatter data collected in 2004 for the northern Channel Islands region, southern 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 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 Bathymetric data for Whiskeytown Lake, December 2018 (ver. 2.0, July 2021) CoSMoS v3.1 water level projections: 1-year storm in Santa Cruz County Suspended particle size distribution data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018 Modeled extreme total water levels along the U.S. west coast Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016 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 Suspended sediment concentration (SSC) in the San Lorenzo River, Santa Cruz, California, USA, from 2008 to 2019 Simulation and visualization of coastal tsunami impacts from the SAFRR tsunami source - Maximum tsunami velocity model of Half Moon Bay, California Digital surface model (DSM) and digital elevation model (DEM) of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01 Rain measurements in and near the Dolan Fire Area, Los Padres National Forest, California, 2022 to 2023 Digital surface model (DSM) and digital elevation model (DEM) of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01 Bathymetric data for Whiskeytown Lake, December 2018 (ver. 2.0, July 2021) Rain measurements in and near the Dolan Fire Area, Los Padres National Forest, California, 2022 to 2023 Suspended particle size distribution data from three locations in the Sacramento-San Joaquin Delta, California, 2017 to 2018 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 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 Swell-filtered, high-resolution seismic-reflection data collected between Punta Gorda and Fort Bragg (northern California) during field activity B-04-12-NC from 09/17/2012 to 09/25/2012 High-resolution multibeam bathymetry and backscatter data collected in 2004 for the northern Channel Islands region, southern California 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 Mean high water (MHW) shorelines along the coast of California used to calculated shoreline change from 1998 to 2016 Modeled extreme total water levels along the U.S. west coast