Justin J. Birchler
Hilary F. Stockdon
Kara S. Doran
David M. Thompson
2014
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Northeast Atlantic Coast
first
vector digital data
http://olga.er.usgs.gov/data/NACCH/NE_erosion_hazards.zip
U.S. Geological Survey
2014
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Northeast Atlantic Coast
http://pubs.usgs.gov/of/2014/1243
These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Northeast 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 from May to July, 2010.
To provide data on the probability of hurricane-induced coastal erosion hazards for the Northeast Atlantic coast.
20100524
20100710
ground condition
None planned, however future updates and post-storm analyses are anticipated.
-71.885881
-69.729768
43.777800
41.306854
USGS Metadata Identifier
USGS:38be9521-69c9-48a9-90bd-6d451274690a
General
U.S. Geological Survey
USGS
St. Petersburg Coastal and Marine Science Center
Coastal and Marine Geology Program
CMGP
SPCMSC
Open-File Report 2014-1243
OFR 2014-1243
ISO 19115 Topic Category
coastal
elevation
environment
General
U.S. Northeast Atlantic
Rhode Island
Massachusetts
New Hampshire
Maine
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 morphology, 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 Northeast 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
20130603
Storm Surge Maximum of the Maximum
http://www.nhc.noaa.gov/ssurge/ssurge_momOverview.shtml
Online digital data
20130603
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.
USACE
201408
2010 USACE Lidar: Northeast Atlantic Coast
http://csc.noaa.gov/htdata/lidar1_z/geoid12a/data/1174/
Online digital data
20100524
20100710
The date when lidar surveys were collected.
current
USACE NE
A lidar survey that was used to estimate dune morphology variables.
For dune morphology data: Elevation data from lidar surveys were interpolated in MATLAB (R2014a) 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.
USACE NE
2014
Dune morphology (DHIGH, DLOW, DHIrms, DLOrms)
U.S. Geological Survey
Justin J. Birchler
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8019
727-502-8001
jbirchler@usgs.gov
For hydrodynamic data: Water level is computed in MATLAB (R2014a) 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
2014
Hydrodynamics (SURGE, SETUP, RUNUP)
U.S. Geological Survey
Justin J. Birchler
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8019
727-502-8001
jbirchler@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
2014
Probabilities (PCOL, POVW, PIND)
U.S. Geological Survey
Justin J. Birchler
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8019
727-502-8001
jbirchler@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
382
8.9831528411952133e-009
8.9831528411952133e-009
Decimal Degrees
D WGS 1984
WGS 1984
6378137.0
298.257223563
NE_erosion_hazards
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
1.92
13.62
meters NAVD88
DLOW
Elevation of the dune toe in meters NAVD88.
USGS
1.15
7.10
meters NAVD88
-999
Null value
USGS
DHIrms
Root mean squared error of dune crest elevation measurements (square meters).
USGS
0.00
11.78
square meters
DLOrms
Root mean square error of dune toe elevation measurements (square meters).
USGS
0.00
3.77
square meters
-999
Null value
USGS
SURGE1
Storm surge water level for a category 1 storm.
USGS
1.87
3.26
meters NAVD88
SURGE2
Storm surge water level for a category 2 storm.
USGS
2.42
4.64
meters NAVD88
SURGE3
Storm surge water level for a category 3 storm.
USGS
2.89
5.99
meters NAVD88
SURGE4
Storm surge water level surge for a category 4 storm.
USGS
3.37
7.24
meters NAVD88
RUNUP1
Wave runup water level for a category 1 storm.
USGS
1.47
11.77
meters NAVD88
RUNUP2
Wave runup water level for a category 2 storm.
USGS
1.61
11.98
meters NAVD88
RUNUP3
Wave runup water level for a category 3 storm.
USGS
1.80
12.37
meters NAVD88
RUNUP4
Wave runup water level for a category 4 storm.
USGS
2.00
12.90
meters NAVD88
SETUP1
Wave setup water level for a category 1 storm.
USGS
0.21
5.08
meters NAVD88
SETUP2
Wave setup water level for a category 2 storm.
USGS
0.23
5.17
meters NAVD88
SETUP3
Wave setup water level for a category 3 storm.
USGS
0.25
5.34
meters NAVD88
SETUP4
Wave setup water level for a category 4 storm.
USGS
0.27
5.56
meters NAVD88
PCOL1
Probability of collision from category 1 storm
USGS
36.67
100.0
percent
-999
Null value
USGS
PCOL2
Probability of collision from category 2 storm
USGS
51.54
100.0
percent
-999
Null value
USGS
PCOL3
Probability of collision from category 3 storm
USGS
73.12
100.0
percent
-999
Null value
USGS
PCOL4
Probability of collision from category 4 storm
USGS
86.11
100.0
percent
-999
Null value
USGS
POVW1
Probability of overwash from category 1 storm
USGS
0
100.0
percent
-999
Null value
USGS
POVW2
Probability of overwash from category 2 storm
USGS
0
100.0
percent
-999
Null value
USGS
POVW3
Probability of overwash from category 3 storm
USGS
0
100.0
percent
-999
Null value
USGS
POVW4
Probability of overwash from category 4 storm
USGS
0.01
100.0
percent
-999
Null value
USGS
PIND1
Probability of inundation from category 1 storm
USGS
0
100.0
percent
-999
Null value
USGS
PIND2
Probability of inundation from category 2 storm
USGS
0
100.0
percent
-999
Null value
USGS
PIND3
Probability of inundation from category 3 storm
USGS
0
100.0
percent
-999
Null value
USGS
PIND4
Probability of inundation from category 4 storm
USGS
0
100.0
percent
-999
Null value
USGS
MEAN1
Mean water level for a category 1 storm
USGS
2.47
7.45
meters NAVD88
MEAN2
Mean water level for a category 2 storm
USGS
3.02
8.42
meters NAVD88
MEAN3
Mean water level for a category 3 storm
USGS
3.88
9.34
meters NAVD88
MEAN4
Mean water level for a category 4 storm
USGS
4.54
10.40
meters NAVD88
EXTREME1
Extreme water level for a category 1 storm
USGS
3.61
14.14
meters NAVD88
EXTREME2
Extreme water level for a category 2 storm
USGS
4.26
15.22
meters NAVD88
EXTREME3
Extreme water level for a category 3 storm
USGS
5.26
16.36
meters NAVD88
EXTREME4
Extreme water level for a category 4 storm
USGS
6.09
17.70
meters NAVD88
U.S. Geological Survey
Justin J. Birchler
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
727-502-8019
727-803-2030
jbirchler@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
1
The erosion hazards data (NE_erosion_hazards.shp) is an ArcGIS shapefile polyline dataset compressed into a zip file with metadata.
zip
http://olga.er.usgs.gov/data/NACCH/NE_erosion_hazards.zip
http://pubs.usgs.gov/of/2014/1243/
None, if obtained online.
20201013
U.S. Geological Survey
Justin J. Birchler
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
UNITED STATES
727-502-8019
727-502-8001
jbirchler@usgs.gov
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time