Kara S. Doran
Hilary F. Stockdon
David M. Thompson
Kristin L. Sopkin
Nathaniel G. Plant
20131202
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Mid-Atlantic Coast (version 2)
second
vector digital data
http://olga.er.usgs.gov/data/NACCH/MA_erosion_hazards_v2.zip
U.S. Geological Survey
20130701
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Mid-Atlantic Coast
http://pubs.usgs.gov/of/2013/1131
These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Mid-Atlantic coast for category 1-4 hurricanes. 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 direct landfall of category 1-4 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on dune morphology (dune crest and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this data set. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future. The data presented here include the dune morphology observations, as derived from lidar surveys taken immediately after the landfall of Hurricane Sandy.
To provide data on the probability of hurricane-induced coastal erosion hazards for the Mid-Atlantic coast following the impact of Hurricane Sandy.
20121105
20121108
20121109
20121110
20121111
20121112
20121114
20121115
20121116
20121126
20121128
20121129
ground condition
None planned, however future updates and post-storm analyses are anticipated.
-75.988563
-71.750841
41.153914
36.547882
USGS Metadata Identifier
USGS:b520cb75-d9ea-4874-a701-ebe8157b82cc
General
U.S. Geological Survey
USGS
St. Petersburg Coastal and Marine Science Center
Coastal and Marine Geology Program
CMGP
SPCMSC
Open-File Report 2013-1131
OFR 2013-1131
ISO 19115 Topic Category
coastal
elevation
environment
General
U.S. Mid-Atlantic
Virginia
Maryland
Delaware
New Jersey
New York
Atlantic Ocean
None
The U.S. Geological Survey requests to be acknowledged as originators of the data in future products or derivative research.
U.S. Geological Survey
Hilary Stockdon
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8074
727-502-8001
hstockdon@usgs.gov
The predicted elevations of combined high tide and storm surge for category 1-4 hurricanes were extracted from the National Oceanic and Atmospheric Administration (NOAA) SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model, which has been employed by NOAA in inundation risk studies and operational storm surge forecasting. Wave runup and setup conditions were generated using SWAN (Simulating WAves Nearshore) software developed by Delft University of Technology (TU Delft).
Microsoft Windows 7 Version 6.1 (Build 7600) ; ESRI ArcGIS 10.0.4.4000
No additional checks for consistency were performed on this data.
These data include dune morhology, and hurricane hydrodynamic data used to generate probabilities of hurricane-induced erosion. Elevation data from lidar surveys are not included. Measurements are collected approximately every 10-meters and summarized to 1-km segments.Category 5 hurricane conditions are not provided by the NOAA SLOSH model for domains north of North Carolina. As a result, only water levels and probabilities for categories 1-4 storms are provided in this dataset.
Horizontal accuracy was not estimated.
Vertical accuracy for hydrodynamic measurements (surge, setup, and runup) is dependent on input data. SLOSH model accuracy is estimated to +/- 20 percent of the calculated value. Modeled wave heights were compared to observed wave heights at several buoys located at different water depths throughout the Southeast Atlantic and simulated wave heights were representative of maximum possible wave heights for each hurricane category. No other accuracy checks were performed.
Vertical accuracy for dune morphology (dune crest and toe elevation) data is dependent on the positional accuracy of the lidar data. Estimated accuracy of lidar surveys is +/- 15 centimeters. However, vertical accuracies may vary based on the type of terrain (for example, inaccuracies may increase as slope increases or with the presence of extremely dense vegetation) and the accuracy of the GPS and aircraft-attitude measurements.
National Hurricane Center, National Oceanic and Atmospheric Administration
20100910
Storm Surge Maximum of the Maximum
http://www.nhc.noaa.gov/ssurge/ssurge_momOverview.shtml
Online digital data
20100910
The date when web page was last modified.
MOM
Data provides a worst case snapshot for a particular hurricane category under "perfect" storm conditions and was used to estimate water level under hurricane categories.
Delft University of Technology
20110622
Simulating WAves Nearshore (SWAN) model
http://www.swan.tudelft.nl/
Computer program
2011
The date when software was obtained.
SWAN
Model that was used to estimate wave setup and runup conditions for different hurricane categories.
USGS
2013
Coastal Topography-Northeast Atlantic Coast, Post-Hurricane Sandy: U.S. Geological Survey Data Series 765
Data series
765
http://pubs.usgs.gov/ds/765/
Online digital data
20121105
20121129
The date when lidar surveys were collected.
DS 765
A lidar survey that was used to estimate dune morphology variables.
USGS
2013
EAARL-B coastal topographyeastern New Jersey, Hurricane Sandy, 2012: first surface: U.S. Geological Survey Data Series 767
Data series
767
http://pubs.usgs.gov/ds/767/
Online digital data, 1 DVD
20121101
20121105
The date when lidar surveys were collected.
DS 767
A lidar survey that was used to estimate dune morphology variables.
USACE
201301
2012 Post Sandy USACE Lidar - Long Island
http://csc.noaa.gov/htdata/lidar1_z/geoid12a/data/1436/
Online digital data
20121115
20121116
The date when lidar surveys were collected.
USACE LI
A lidar survey that was used to estimate dune morphology variables.
USACE
201305
2012 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX) Tobobathy Lidar: Post Super Storm Sandy-Coastal New Jersey and New York
http://www.csc.noaa.gov/htdata/lidar1_z/geoid12a/data/2478/
Online digital data
20121115
20121116
The date when lidar surveys were collected.
USACE NYNJ
A lidar survey that was used to estimate dune morphology variables.
For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB (R2012a) to a gridded domain that was rotated parallel to the shoreline and had a resolution of 10 m in the longshore direction and 2.5 m in the cross-shore direction. The interpolation method applies spatial filtering with a Hanning window that is twice as wide as the grid resolution. Dune morphology data are extracted from the elevation grid in MATLAB. Dune morphology data are then summarized to 1 km sections. Sections with greater than 75 percent of data missing are flagged with the invalid number of -999. The 1-kilometer smoothed dune crest, toe and root mean square (RMS) error for each were written to line shapefiles using Matlab's shapewrite.m script.
DS 765
DS 767
USACE LI
USACE NYNJ
2013
Dune morphology (DHIGH, DLOW, DHIrms, DLOrms)
U.S. Geological Survey
Kara S. Doran
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8117
727-502-8001
kdoran@usgs.gov
For hydrodynamic data: Water level is computed in MATLAB (R2012a) by adding storm surge from NOAAs SLOSH model to wave setup and runup. The wave height and period for calculating wave runup and setup come from the SWAN model. Hydrodynamic parameters were calculated in MATLAB and exported into ArcGIS format.
For details on modeling parameterization, see:
Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H., 2012, National assessment of hurricane-induced coastal erosion hazards: Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, 51 p. http://pubs.usgs.gov/of/2012/1084/
MOM
SWAN
2013
Hydrodynamics (SURGE, SETUP, RUNUP)
U.S. Geological Survey
Kara S. Doran
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8117
727-502-8001
kdoran@usgs.gov
Probabilities of coastal erosion hazards are based on estimating the likelihood that the beach system will experience erosion and deposition patterns consistent with collision, overwash, or inundation regimes. The regimes are calculated by using values of dune morphology and mean and extreme water levels for each 1 km section, such that probability of collision occurs when extreme water levels reach the dune toe; overwash when extreme water levels reach the dune crest; and inundation when mean water levels reach the dune crest. Probabilities were calculated in MATLAB and exported in ArcGIS format.
For details on modeling parameterization, see:
Stockdon, H.F., Doran, K.J., Thompson, D.M., Sopkin, K.L., Plant, N.G., and Sallenger, A.H., 2012, National assessment of hurricane-induced coastal erosion hazards: Gulf of Mexico: U.S. Geological Survey Open-File Report 2012-1084, 51 p. http://pubs.usgs.gov/of/2012/1084/
Dune morphology
Hydrodynamics
2013
Probabilities (PCOL, POVW, PIND)
U.S. Geological Survey
Kara S. Doran
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8117
727-502-8001
kdoran@usgs.gov
Added keywords section with USGS persistent identifier as theme keyword.
20201013
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Vector
GT-polygon composed of chains
666
8.9831528411952133e-009
8.9831528411952133e-009
Decimal Degrees
D WGS 1984
WGS 1984
6378137.0
298.257223563
PostSandy_PCOI_line
Probabilities of hurricane-induced coastal erosion, dune morphology, and hurricane hydrodynamic data
USGS
FID
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
DHIGH
Elevation of dune crest in meters NAVD88.
USGS
1.073191
17.937858
meters NAVD88
DLOW
Elevation of the dune toe in meters NAVD88.
USGS
0.894122
4.929182
meters NAVD88
-999
Null value
USGS
DHIrms
Root mean squared error of dune crest elevation measurements (square meters).
USGS
0.017582
6.593298
square meters
DLOrms
Root mean square error of dune toe elevation measurements (square meters).
USGS
0.011326
2.656146
square meters
-999
Nulll value
USGS
SURGE1
Storm surge water level for a category 1 storm.
USGS
0.844811
3.237556
meters NAVD88
SURGE2
Storm surge water level for a category 2 storm.
USGS
1.526597
5.157631
meters NAVD88
SURGE3
Storm surge water level for a category 3 storm.
USGS
2.4104
6.988239
meters NAVD88
SURGE4
Storm surge water level surge for a category 4 storm.
USGS
3.549912
8.632602
meters NAVD88
RUNUP1
Wave runup water level for a category 1 storm.
USGS
1.389731
4.699316
meters NAVD88
RUNUP2
Wave runup water level for a category 2 storm.
USGS
1.507147
5.141495
meters NAVD88
RUNUP3
Wave runup water level for a category 3 storm.
USGS
1.624589
5.838377
meters NAVD88
RUNUP4
Wave runup water level for a category 4 storm.
USGS
1.75213
6.492683
meters NAVD88
SETUP1
Wave setup water level for a category 1 storm.
USGS
0.094056
1.866221
meters NAVD88
SETUP2
Wave setup water level for a category 2 storm.
USGS
0.097844
2.112182
meters NAVD88
SETUP3
Wave setup water level for a category 3 storm.
USGS
0.103054
2.398784
meters NAVD88
SETUP4
Wave setup water level for a category 4 storm.
USGS
0.108882
2.667793
meters NAVD88
PCOL1
Probability of collision from category 1 storm
USGS
32.474952
100.0
percent
-999
Null value
USGS
PCOL2
Probability of collision from category 2 storm
USGS
78.386218
100.0
percent
-999
Null value
USGS
PCOL3
Probability of collision from category 3 storm
USGS
87.844732
100.0
percent
-999
Null value
USGS
PCOL4
Probability of collision from category 4 storm
USGS
94.8815
100.0
percent
-999
Null value
USGS
POVW1
Probability of overwash from category 1 storm
USGS
0.000288
100.0
percent
-999
Null value
USGS
POVW2
Probability of overwash from category 2 storm
USGS
0.757851
100.0
percent
-999
Null value
USGS
POVW3
Probability of overwash from category 3 storm
USGS
2.726457
100.0
percent
-999
Null value
USGS
POVW4
Probability of overwash from category 4 storm
USGS
7.244033
100.0
percent
-999
Null value
USGS
PIND1
Probability of inundation from category 1 storm
USGS
0.0
100.0
percent
-999
Null value
USGS
PIND2
Probability of inundation from category 2 storm
USGS
0.0
100.0
percent
-999
Null value
USGS
PIND3
Probability of inundation from category 3 storm
USGS
0.000037
100.0
percent
-999
Null value
USGS
PIND4
Probability of inundation from category 4 storm
USGS
0.217589
100.0
percent
-999
Null value
USGS
MEAN1
Mean water level for a category 1 storm
USGS
1.296773
4.066945
meters NAVD88
MEAN2
Mean water level for a category 2 storm
USGS
2.375898
5.935135
meters NAVD88
MEAN3
Mean water level for a category 3 storm
USGS
3.159361
7.802577
meters NAVD88
MEAN4
Mean water level for a category 4 storm
USGS
4.05
9.485863
meters NAVD88
EXTREME1
Extreme water level for a category 1 storm
USGS
2.809627
6.917765
meters NAVD88
EXTREME2
Extreme water level for a category 2 storm
USGS
4.05829
8.111447
meters NAVD88
EXTREME3
Extreme water level for a category 3 storm
USGS
4.932517
9.852702
meters NAVD88
EXTREME4
Extreme water level for a category 4 storm
USGS
5.870937
11.634348
meters NAVD88
U.S. Geological Survey
Kara S. Doran
mailing and physical
600 4th Street Sourth
Saint Petersburg
FL
33701
727-502-8117
727-8032030
kdoran@usgs.gov
All of this report is available on-line.
Although these data have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. The USGS shall not be held liable for improper or incorrect use of the data described and/or contained herein. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
SHP; ZIP
2
The erosion hazards data (MA_erosion_hazards_v2.shp) is an ArcGIS shapefile polyline dataset compressed into a zip file with metadata.
zip
http://olga.er.usgs.gov/data/NACCH/MA_erosion_hazards_v2.zip
None, if obtained online.
20210922
U.S. Geological Survey
Kara S. Doran
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8117
727-502-8001
kdoran@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time