{
    "tag": 6253,
    "title": "Shoreline change data along the coast of California from 2015 to 2016",
    "pubdate": "20201231",
    "sername": null,
    "series_name": null,
    "issue": "DOI:10.5066\/P91QSGXF",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/pcmsc\/DataReleases\/ScienceBase\/DR_P91QSGXF\/CA_2015_2016_shoreline_change_metadata.faq.html",
    "format": null,
    "email": null,
    "descript": "This dataset contains shoreline change measurements for sandy beaches along the coast of California over the 2015\/2016 El Nino winter season. Mean high water (MHW) shorelines were extracted from Light Detection and Ranging (LiDAR) digital elevation models from the fall of 2015 and the spring of 2016 using the ArcGIS smoothed contour method. The MHW elevation in each analysis region (Northern, Central, and Southern California) maintained consistency with that of the National Assessment of Shoreline Change. Within the Digital Shoreline Analysis System (DSAS), the net shoreline movement (NSM) between the pre-El Nino (2015) and post-El Nino (2016) shorelines was calculated at a transect spacing of 50 meters as a proxy for sandy shoreline change throughout the El Nino winter season.",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "Barnard, Patrick",
            "role": "Author"
        },
        {
            "name": "Smith, Schuyler A.",
            "role": "Author"
        },
        {
            "name": "Foxgrover, Amy C.",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "168",
            "name": "climate change",
            "scope": "Long-term alteration in the characteristic weather conditions of a region, such as changes in precipitation and temperature."
        },
        {
            "thcode": 2,
            "code": "2059",
            "name": "El Nino-Southern Oscillation",
            "scope": "A roughly periodic variation in Pacific ocean sea-surface temperature causing changes in weather world-wide."
        },
        {
            "thcode": 2,
            "code": "1028",
            "name": "sea-level change",
            "scope": "Variation in the relative vertical position of land and ocean waters. Caused globally by changes in the distribution of ice masses and the shape of the oceans, and locally by the rate of uplift or subsidence of the land surface.  Includes both global (eustatic) and local (relative) sea-level variations."
        },
        {
            "thcode": 2,
            "code": "1102",
            "name": "storms",
            "scope": "Atmospheric disturbances with winds of unusual force or direction. Accompanied by rain, snow, hail, or sleet, and often by thunder and lightning."
        },
        {
            "thcode": 15,
            "code": "004",
            "name": "climatologyMeteorologyAtmosphere",
            "scope": "Processes and phenomena of the atmosphere, for example cloud cover, weather, climate, atmospheric conditions, climate change, precipitation"
        },
        {
            "thcode": 15,
            "code": "014",
            "name": "oceans",
            "scope": "Features and characteristics of salt water bodies (excluding inland waters), for example tides, tidal waves, coastal information, reefs, maritime, outer continental shelf submerged lands, shoreline"
        },
        {
            "thcode": 23,
            "code": "21",
            "name": "Physical Habitats and Geomorphology",
            "scope": "Includes measures of the geologic and structural characteristics of the coast or sea floor, such as the features defined in the Geoform Component of CMECS. Distributions are detailed topographic and bathymetric maps, geolocated photographs, or sea-floor descriptions; Distributions includes maps that interpret observations to categorize areas on the basis of geoform types such as those in CMECS. Assessment types include evaluations of ecological or human use value and can include models that project environmental or economic effects of erosion, climate change, dredging, and other stressors. Predictions are the results of models or projections of future distributions, values, or ecological impacts of physical habitats, including predicted changes due to natural and human forces; they are also from scenario-based models of resource losses, gains, or impacts on ecological or economic values under different management strategies (for example, mining, removal, relocation, or the building of structures)."
        },
        {
            "thcode": 61,
            "code": "336",
            "name": "coastal erosion",
            "scope": "the erosion of the area adjacent to an ocean, sea, or lake, often resulting in shoreline changes."
        },
        {
            "thcode": 61,
            "code": "23",
            "name": "El Nino events",
            "scope": "the warm phase of the El Nino Southern Oscillation (ENSO), typically accompanied by intensified winter storm activity in the eastern Pacific."
        },
        {
            "thcode": 61,
            "code": "275",
            "name": "sea level change",
            "scope": "changes in sea level controlled by fluctuations in the volume of the polar ice caps; associated issues include the effects on coastlines and shallow benthic habitats."
        },
        {
            "thcode": 61,
            "code": "28",
            "name": "waves",
            "scope": "used for waves acting as agents of erosion and sediment transport in coastal and nearshore environments."
        }
    ],
    "place_term": [],
    "image": [],
    "fan": []
}