20220207
11455200
1.0
FALSE
CliffEdgePositions_SLR_175
002
-13638844.737500
-13050724.903900
3850971.218900
4549630.709200
1
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/2.8.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>2</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20220120
16425500
20220120
16425500
150000000
5000
ISO19139
CliffEdgePositions_SLR_175
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Name
Name
String
254
0
0
Cliff Positions in meters
DIST
Caltrans District
SmallInteger
2
5
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
dataset
Patrick Barnard
USGS
Research Geologist
pbarnard@usgs.gov
Li Erikson
USGS
Research Oceanographer
lerikson@usgs.gov
20220120
ArcGIS Metadata
1.0
Feature Class
CoSMoS Cliff Edge Positions Sea Level Rise 1.75 Meters
2018-11-01
2020-09-25
U.S. Geological Survey
https://www.sciencebase.gov/catalog/catalogParty/show?partyId=18139
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Coastal Storm Modeling System (CoSMoS) makes detailed predictions of storm-induced coastal flooding, erosion, and cliff failures over large geographic scales. CoSMoS was developed for hindcast studies, operational applications and future climate scenarios 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. The Coastal Storm Modeling System (CoSMoS) is a dynamic modeling approach that has been developed by the United States Geological Survey in order to allow more detailed predictions of coastal flooding due to both future sea-level rise and storms integrated with long-term coastal evolution (i.e., beach changes and cliff/bluff retreat) over large geographic areas (100s of kilometers). CoSMoS models all the relevant physics of a coastal storm (e.g.,tides, waves, and storm surge), which are then scaled down to local flood projections for use in community-level coastal planning and decision-making. Rather than relying on historic storm records, CoSMoS uses wind and pressure from global climate models to project coastal storms under changing climatic conditions during the 21st century. Above information taken from: https://www.usgs.gov/centers/pacific-coastal-and-marine-science-center/science/coastal-storm-modeling-system-cosmos</SPAN></P></DIV></DIV></DIV>
This dataset contains spatial projections of coastal cliff retreat (and associated uncertainty) for future scenarios of sea-level rise (SLR) in California. Present-day cliff-edge positions used as the baseline for projections are also included. Projections were made using numerical models and field observations such as historical cliff retreat rate, nearshore slope, coastal cliff height, and mean annual wave power, as part of Coastal Storm Modeling System (CoSMoS).
Barnard, P.L., Erikson, L.H., Foxgrover, A.C., Limber, P.L., O'Neill, A.C., and Vitousek, S., 2018, Coastal Storm Modeling System (CoSMoS) U.S. Geological Survey data release, https://doi.org/10.5066/P9NUO62B.
Patrick Barnard
USGS
Research Geologist
pbarnard@usgs.gov
Li Erikson
USGS
Research Oceanographer
lerikson@usgs.gov
Climate Change. Sea Level Rise
Climate Change. Sea Level Rise
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>These data provide an estimate of coastal geomorphic change in response to SLR during the 21st century and are intended for policy makers, resource managers, science researchers, students, and the general public. These data can be used with geographic information systems or other software to identify and assess possible areas of vulnerability and are not intended to be used for navigation.</SPAN></P></DIV></DIV></DIV>
The U.S. Geological Survey provides these data as is for a quick reference, emergency planning tool but assumes no legal liability or responsibility resulting from the use of this information. The suggestions and illustrations included in these data are intended to improve coastal-flood awareness and preparedness; however, they do not guarantee the safety of an individual or structure. The contributors and sponsors of this product do not assume liability for any injury, death, property damage, or other effects of coastal flooding.
Version 6.2 (Build 9200) ; Esri ArcGIS 10.8.1.14362
California
0
0
true
-122.519897
-117.236565
32.665018
37.789131
1
-122.519827
-117.236657
37.788783
32.665370
This GIS layer was created by merging all CoSMoS layers downloaded from this page: https://www.sciencebase.gov/catalog/item/5b280118e4b0592076260491
The Caltrans District was put onto each section of this dataset which was downloaded by county,
0
EPSG
8.8(9.3.1.2)
6.18.3(9.3.1.2)
Simple
FALSE
0
TRUE
TRUE