Justin J. Birchler
P. Soupy Dalyander
Hilary F. Stockdon
Kara S. Doran
20150921
Probability Model Outputs: National Assessment of Nor'easter-Induced Coastal Erosion Hazards: Mid- and Northeast Atlantic Coast (Polyline Shapefile)
first
vector digital data
http://olga.er.usgs.gov/data/NACCH/Noreasters_erosion_hazards.zip
U.S. Geological Survey
2015
National Assessment of Nor'easter-Induced Coastal Erosion Hazards: Mid- and Northeast Atlantic Coast
http://pubs.usgs.gov/of/2015/1154
These datasets contain information on the probabilities of nor'easter-induced erosion (collision, overwash and inundation) for each 1-km section of the Mid- and Northeast Atlantic coast, from North Carolina through Maine, for class 1-3 nor'easters. 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 impact of class 1-3 nor'easters. Nor'easter-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 dataset. 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 dune morphology observations, as derived from lidar surveys taken between May and July 2010 and in November 2012.
To provide data on the probability of nor'easter-induced coastal erosion hazards for the Mid- and Northeast Atlantic coast.
20100504
20121129
ground condition
None planned, however future updates and post-storm analyses are anticipated.
-78.548858
-69.725425
43.780844
33.850068
USGS Metadata Identifier
USGS:2f98fc85-8812-4604-96ce-776d56e51651
General
U.S. Geological Survey
USGS
St. Petersburg Coastal and Marine Science Center
Coastal and Marine Geology Program
CMGP
SPCMSC
Open-File Report 2015-1154
OFR 2015-1154
ISO 19115 Topic Category
coastal
elevation
environment
General
U.S. Mid-Atlantic
North Carolina
Virginia
Maryland
Delaware
New Jersey
New York
Atlantic Ocean
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 storm surge for class 1-3 nor'easters were extracted from the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) model, which was completed over a 31-year period from 1979 to 2009 and was designed and executed as a global, high resolution, coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains over this period. The predicted elevations of high tide were extracted from the National Oceanic and Atmospheric Administration (NOAA) tide gages at six long-running gage locations along the Mid- and Northeast Atlantic coast. Wave runup and setup conditions were generated using the NOAA WaveWatch III (NWW3) model results using winds from the CFSR. The wave runup and setup conditions were complemented by measured data from six long-runnng NOAA National Data Buoy Center (NDBC) wave buoys in shallow water along the Mid- and Northeast Atlantic coast.
Microsoft Windows 7 Version 6.1 (Build 7600); Esri ArcGIS 10.2.2.3552
No additional checks for consistency were performed on this data.
These data include dune morphology, and nor'easter hydrodynamic data used to generate probabilities of nor'easter-induced erosion. Elevation data from lidar surveys are not included. Measurements are collected approximately every 10-meters and summarized to 1-km segments.
Horizontal accuracy was not estimated.
Vertical accuracy for hydrodynamic measurements (surge, setup, and runup) is dependent on input data. CFSR-modeled surge elevations were compared to six long-running NOAA tide gages in shallow water along the Mid- and Northeast Atlantic coast and surge elevations were assimilated based on this comparison for class 1-3 nor'easters. Modeled wave heights and wave periods were compared to observed wave heights at six long-running NOAA NDBC buoys located in shallow water along the Mid- and Northeast Atlantic coast and simulated wave heights were representative of maximum possible wave heights for each nor'easter 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 Centers for Environmental Prediction, National Weather Service, National Oceanic and Atmospheric Administration
201001
NCEP Climate Forecast System Reanalysis
http://rda.ucar.edu/datasets/ds093.0/#!description
Online digital data
19790101
20091231
The date range of the modeled data.
CFSR
Data provides hourly estimates of non-tidal surge and was used to estimate storm surge water level under nor'easter classes.
Environmental Modeling Center, National Weather Service, National Oceanographic and Atmospheric Administration
20131001
NOAA WAVEWATCH III CFSR Reanalysis Hindcasts
http://polar.ncep.noaa.gov/waves/CFSR_hindcast.shtml
Online digital data
19790101
20091231
The date range of the modeled data.
NWW3
Data provides wave parameters every three hours and was used to estimate wave runup and setup under nor'easter classes.
National Oceanic and Atmospheric Administration
20131015
NOAA Tide Predictions
http://tidesandcurrents.noaa.gov/noaatidepredictions/NOAATidesFacade.jsp?Stationid=8651370
http://tidesandcurrents.noaa.gov/noaatidepredictions/NOAATidesFacade.jsp?Stationid=8570283
http://tidesandcurrents.noaa.gov/noaatidepredictions/NOAATidesFacade.jsp?Stationid=8531680
http://tidesandcurrents.noaa.gov/noaatidepredictions/NOAATidesFacade.jsp?Stationid=8510560
http://tidesandcurrents.noaa.gov/noaatidepredictions/NOAATidesFacade.jsp?Stationid=8443970
http://tidesandcurrents.noaa.gov/noaatidepredictions/NOAATidesFacade.jsp?Stationid=8418150
Online digital data
19790101
20091231
The date range containing the tide prediction data.
Tides
Data provides hourly estimates of tidal water levels (at Duck, NC; Ocean City Inlet, MD; Sandy Hook, NJ; Montauk, NY; Boston, MA; and Portland, ME) and was used to assimilate storm surge water level under nor'easter classes.
National Data Buoy Center, National Oceanic and Atmospheric Administration
20150330
National Data Buoy Center Buoy Stations
http://www.ndbc.noaa.gov/station_page.php?station=44014
http://www.ndbc.noaa.gov/station_page.php?station=44009
http://www.ndbc.noaa.gov/station_page.php?station=44025
http://www.ndbc.noaa.gov/station_page.php?station=44017
http://www.ndbc.noaa.gov/station_page.php?station=44013
http://www.ndbc.noaa.gov/station_page.php?station=44007
Online digital data
19790101
20091231
The date range containing the buoy data.
Wave Buoys
Data provides hourly estimates of wave parameters (near Virginia Beach, VA; Cape May, NJ; Islip, NY; Montauk Point, NY; Boston, MA; and Portland, ME) and was used to assimilate significant wave height and dominant wave period in order to estimate wave runup and setup under nor'easter classes.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
JALBTCX (Joint Airborne Lidar Bathymetry Technical Center of eXpertise)
201408
2010 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) Topobathy Lidar: Northeast (MA, ME, NH, RI)
http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1174
Online digital data
20100524
20100710
The date when lidar surveys were collected.
USACE NE
A lidar survey that was used to estimate dune morphology variables.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
JALBTCX (Joint Airborne Lidar Bathymetry Technical Center of eXpertise)
20141114
2010 US Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of eXpertise (JALBTCX) Southeast Lidar: Florida, Georgia, South Carolina, North Carolina
http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1070
Online digital data
20100504
20100616
The date when lidar surveys were collected.
USACE SE
A lidar survey that was used to estimate dune morphology variables.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
201301
2012 USACE Post Hurricane Sandy Topographic LiDAR: Eastern Long Island, New York
http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1436
Online digital data
20121114
20121115
The date when lidar surveys were collected.
USACE East LI, NY
A lidar survey that was used to estimate dune morphology variables.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
U.S. Geological Survey
201306
2012 U.S. Geological Survey Topographic Lidar: Northeast Atlantic Coast Post-Hurricane Sandy
USGS Data Series
765
http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=2488
http://pubs.usgs.gov/ds/765/
Online digital data
20121105
20121129
The date when lidar surveys were collected.
USGS NC, VA, MD, DE, NY Post-Sandy
A lidar survey that was used to estimate dune morphology variables.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
JALBTCX (Joint Airborne Lidar Bathymetry Technical Center of eXpertise)
201305
2012 USACE Topobathy Lidar: Post Sandy (NJ & NY)
http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=2478
Online digital data
20121116
The date when lidar surveys were collected.
USACE West LI, NY
A lidar survey that was used to estimate dune morphology variables.
U.S. Geological Survey
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
20140715
2012 USGS EAARL-B Coastal Topography: Post-Sandy, First Surface (NJ)
USGS Data Series
767
http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=3657
Online_Linkage: http://pubs.usgs.gov/ds/767/
Online digital data
20121026
20121101
20121105
The date when lidar surveys were collected.
USGS NJ Post-Sandy
A lidar survey that was used to estimate dune morphology variables.
Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), Office for Coastal Management (OCM)
201301
2012 USACE Post Hurricane Sandy Topographic LiDAR: Rhode Island and Massachusetts Coast
http://coast.noaa.gov/dataviewer/index.html?action=advsearch&qType=in&qFld=ID&qVal=1435
Online digital data
20121111
20121122
The date when lidar surveys were collected.
USGS MV, NK Post-Sandy
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 long-shore 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
USACE SE
USACE East LI, NY
USGS NC, VA, MD, DE, NY Post-Sandy
USACE West LI, NY
USGS NJ Post-Sandy
USGS MV, NK Post-Sandy
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 NOAA NCEP CFSR model to wave setup and runup. The wave height and period for calculating wave runup and setup come from the NWW3 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/
CFSR
NWW3
2015
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.
Dune morphology
Hydrodynamics
2015
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
String
1991
8.9831528411952133e-009
8.9831528411952133e-009
Decimal Degrees
D WGS 1984
WGS 1984
6378137.0
298.257223563
Noreasters_erosion_hazards
Probabilities of nor'easter-induced coastal erosion, dune morphology, and nor'easter 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
0.958297
46.906606
meters NAVD88
-999
Null value
USGS
DLOW
Elevation of the dune toe in meters NAVD88.
USGS
0.903735
7.123182
meters NAVD88
-999
Null value
USGS
DHIrms
Root mean squared error of dune crest elevation measurements (square meters).
USGS
0.031295
12.021563
square meters
-999
Null value
USGS
DLOrms
Root mean square error of dune toe elevation measurements (square meters).
USGS
0.012952
3.270477
square meters
-999
Null value
USGS
SURGE1
Storm surge water level for a class 1 storm.
USGS
0.772525
2.229094
meters NAVD88
SURGE2
Storm surge water level for a class 2 storm.
USGS
1.011087
2.499437
meters NAVD88
SURGE3
Storm surge water level for a class 3 storm.
USGS
1.297647
2.846024
meters NAVD88
RUNUP1
Wave runup water level for a class 1 storm.
USGS
0.983955
9.33028
meters NAVD88
-999
Null value
USGS
RUNUP2
Wave runup water level for a class 2 storm.
USGS
1.190305
10.770283
meters NAVD88
-999
Null value
USGS
RUNUP3
Wave runup water level for a class 3 storm.
USGS
1.446597
13.578389
meters NAVD88
-999
Null value
USGS
SETUP1
Wave setup water level for a class 1 storm.
USGS
0.060643
4.034949
meters NAVD88
-999
Null value
USGS
SETUP2
Wave setup water level for a class 2 storm.
USGS
0.073873
4.657976
meters NAVD88
-999
Null value
USGS
SETUP3
Wave setup water level for a class 3 storm.
USGS
0.087308
5.872471
meters NAVD88
-999
Null value
USGS
PCOL1
Probability of collision from class 1 storm
USGS
0.031562
100.00
percent
-999
Null value
USGS
PCOL2
Probability of collision from class 2 storm
USGS
2.202268
100.00
percent
-999
Null value
USGS
PCOL3
Probability of collision from class 3 storm
USGS
19.727957
100.00
percent
-999
Null value
USGS
POVW1
Probability of overwash from class 1 storm
USGS
0.00
99.99999
percent
-999
Null value
USGS
POVW2
Probability of overwash from class 2 storm
USGS
0.00
100.0
percent
-999
Null value
USGS
POVW3
Probability of overwash from class 3 storm
USGS
0.00
100.00
percent
-999
Null value
USGS
PIND1
Probability of inundation from class 1 storm
USGS
0.00
99.833556
percent
-999
Null value
USGS
PIND2
Probability of inundation from class 2 storm
USGS
0.00
100.00
percent
-999
Null value
USGS
PIND3
Probability of inundation from class 3 storm
USGS
0.00
100.00
percent
-999
Null value
USGS
MEAN1
Mean water level for a class 1 storm
USGS
0.815728
5.590826
meters NAVD88
MEAN2
Mean water level for a class 2 storm
USGS
1.075374
6.483548
meters NAVD88
MEAN3
Mean water level for a class 3 storm
USGS
1.398169
8.042241
meters NAVD88
EXTREME1
Extreme water level for a class 1 storm
USGS
0.815728
10.886157
meters NAVD88
EXTREME2
Extreme water level for a class 2 storm
USGS
1.075374
12.595855
meters NAVD88
EXTREME3
Extreme water level for a class 3 storm
USGS
1.398169
15.748159
meters NAVD88
U.S. Geological Survey
Justin J. Birchler
mailing and physical
600 4th Street South
Saint Petersburg
FL
33701
727-502-8019
727-502-8001
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 (Noreasters_erosion_hazards.shp) is an ArcGIS shapefile polyline dataset compressed into a zip file with metadata.
zip
http://olga.er.usgs.gov/data/NACCH/Noreasters_erosion_hazards.zip
http://pubs.usgs.gov/of/2015/1154/
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