Dataset Identification:

Resource Abstract:
Hawaii is exposed to large waves annually on all open coasts due to its location in the Central North Pacific Ocean. The distance over which waves run-up and wash across the shoreline will increase with sea level rise. As water levels increase, less wave energy will be dissipated through breaking on nearshore reefs and waves will arrive at a higher elevation at the shoreline. Computer model simulations of future annual high wave flooding were conducted by the University of Hawaii Coastal Geology Group using the XBeach (for eXtreme Beach behavior) numerical model developed by a consortium of research institutions. The model propagates the maximum annually recurring wave, calculated from offshore wave buoy data, over the reef and to the shore along one-dimensional (1D) cross-shore profiles extracted from a 1-meter DEM. Profiles are spaced 20 meters apart along the coast. This approach was used to model the transformation of the wave as it breaks across the reef and includes shallow water wave processes such as wave set-up and overtopping. The IPCC AR5 RCP8.5 sea level rise scenario was used in modeling exposure to annual high wave flooding from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet. This particular layer depicts annual high wave flooding using the 3.2-ft (0.9767-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2100, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Historical data used to model annual high wave flooding include hourly measurements of significant wave height, peak wave period, and peak wave direction, and was acquired from offshore wave buoy data from PacIOOS. Maximum surface elevation and depth of the annual high wave flooding is calculated from the mean of the five highest modeled water elevations at each model location along each profile. Output from the simulations is interpolated between transects and compiled in a 5-meter map grid. Depth grid cells with values less than 10 centimeters are not included in the impact assessment. This was done to remove very thin layers of water excursions that (1) are beyond the accuracy of the model and (2) might not constitute a significant impact to land and resources when only occurring once annually. Any low-lying flooded areas that are not connected to the ocean are also removed. Annual high wave flood modeling covered wave-exposed coasts with low-lying development on Maui, Oahu, and Kauai. Annual high wave flooding was not available for the islands of Hawaii, Molokai, and Lanai, nor for harbors or other back-reef areas throughout all the islands. Additional studies would be needed to add the annual high wave flooding for those areas. The maximum annually recurring wave parameters (significant wave height, period, direction) were statistically determined using historical wave climate records and do not include potential changes in future wave climate, the effects of storm surge, or less-frequent high wave events (e.g., a 1-in-10 year wave event). In some locations, the extent of flooding modeled was limited by the extent of the 1-meter DEM. Changes in shoreline location due to coastal erosion are not included in this modeling. As shorelines retreat, annual high wave flooding will reach farther inland along retreating shorelines. Waves are propagated along a "bare earth" DEM which is void of shoreline structures, buildings, and vegetation, and waves are assumed to flow over an impermeable surface. The DEM represents a land surface at one particular time, and may not be representative of the beach shape during the season of most severe wave impact, particularly for highly variable north and west-exposed beaches. Undesirable artifacts of 1D modeling include over-predicted flooding along some transects with deep, shore-perpendicular indentations in the sea bottom such as nearshore reef channels. The 1D modeling does not account for the presence of nearby shallow reef which refracts and dissipates some of the wave energy traveling through the channel toward the shore. Wave flooding modeling may be improved in future efforts by employing more complex and data-intensive 2D modeling and through local field experiments. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: http://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf
Citation
Title Annual High Wave Flooding: Hawaii: 3.2-ft Sea Level Rise Scenario
creation  Date   2017-12-21
issued  Date   2017-12-21
revision  Date   2018-01-31
other Citation Details  OGC web services (WMS and WFS) enabled by PacIOOS via GeoServer.
cited responsible party - originator
individual Name Charles Fletcher
organisation Name  University of Hawaii Coastal Geology Group (CGG)
Contact information
Address
electronic Mail Addressfletcher@soest.hawaii.edu
Linkage for online resource
name
URL:http://www.soest.hawaii.edu/coasts/
protocol http
link function information
Description
target application profile  web browser
cited responsible party - originator
individual Name Tiffany Anderson
organisation Name  University of Hawaii Coastal Geology Group (CGG)
Contact information
Address
electronic Mail Addresstranders@hawaii.edu
Linkage for online resource
name
URL:http://www.soest.hawaii.edu/coasts/
protocol http
link function information
Description
target application profile  web browser
cited responsible party - distributor
organisation Name  Pacific Islands Ocean Observing System (PacIOOS)
Contact information
Address
electronic Mail Addressinfo@pacioos.org
Linkage for online resource
name
URL:http://pacioos.org
protocol http
link function information
Description
target application profile  web browser
Topic Category:  oceans
Theme keywords (theme):
Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Level Rise > Inundation
Earth Science > Human Dimensions > Environmental Impacts
Earth Science > Human Dimensions > Natural Hazards > Floods
Earth Science > Oceans > Coastal Processes > Sea Level Rise
Earth Science > Oceans > Ocean Waves > Wave Runup
thesaurus name >
Title GCMD Science Keywords
Location keywords:
Continent > North America > United States Of America > Hawaii
Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands
Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Kauai
Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui
Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Oahu
thesaurus name >
Title GCMD Location Keywords
project Keywords
PacIOOS > Pacific Islands Ocean Observing System
thesaurus name >
Title GCMD Project Keywords
dataCenter Keywords
PacIOOS > Pacific Islands Ocean Observing System
thesaurus name >
Title GCMD Data Center Keywords
Theme keywords (theme):
thesaurus name >
Title Process > Geologic Processes
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Organization > MULTINATIONAL ORGANIZATIONS
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Science Domain > Earth Science
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Realm > Geosphere
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Feature > Physiographic Feature
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Material > Environmental Material
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Process > Hydrologic Process
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Realm > Earth Surface
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Activity > Observation
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Feature > Hydrologic Feature
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Realm > Critical Zone
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Activity > experimental process
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Process > Biological Process
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Feature > Marine Feature
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Material > Biological Material
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Property > Measure
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Equipment > Instrument
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
Theme keywords (theme):
thesaurus name >
Title Feature > Environmental Feature
publication  Date   2018-11-21
other Citation Details  Cinergi keyword enhanced.File generated at Wed Nov 21 19:12:42 UTC 2018
purpose:
PacIOOS provides timely, reliable, and accurate ocean information to support a safe, clean, productive ocean and resilient coastal zone in the U.S. Pacific Islands region.
Browse image (thumbnail):
thumbnail file name: ...
thumbnail file description:  Sample image.
Resource language:  eng
Constraints on resource usage:
Legal Constraints
Use Limitation
The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, University of Hawaii, PacIOOS, NOAA, State of Hawaii nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.
Resource extent
Geographic Extent
Geographic Bounding Box
extent Type Code  1
westBoundLongitude  -159.788135633668
eastBoundLongitude  -156.355347039445
northBoundLatitude  22.2305059290235
southBoundLatitude  20.6188666145517
Credits:
The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST).
point of contact - pointOfContact
individual Name Charles Fletcher
organisation Name  University of Hawaii Coastal Geology Group (CGG)
Contact information
Address
electronic Mail Addressfletcher@soest.hawaii.edu
Linkage for online resource
name
URL:http://www.soest.hawaii.edu/coasts/
protocol http
link function information
Description
target application profile  web browser
Back to top:

Service Identification information: 1

Resource Abstract:
Hawaii is exposed to large waves annually on all open coasts due to its location in the Central North Pacific Ocean. The distance over which waves run-up and wash across the shoreline will increase with sea level rise. As water levels increase, less wave energy will be dissipated through breaking on nearshore reefs and waves will arrive at a higher elevation at the shoreline. Computer model simulations of future annual high wave flooding were conducted by the University of Hawaii Coastal Geology Group using the XBeach (for eXtreme Beach behavior) numerical model developed by a consortium of research institutions. The model propagates the maximum annually recurring wave, calculated from offshore wave buoy data, over the reef and to the shore along one-dimensional (1D) cross-shore profiles extracted from a 1-meter DEM. Profiles are spaced 20 meters apart along the coast. This approach was used to model the transformation of the wave as it breaks across the reef and includes shallow water wave processes such as wave set-up and overtopping. The IPCC AR5 RCP8.5 sea level rise scenario was used in modeling exposure to annual high wave flooding from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet. This particular layer depicts annual high wave flooding using the 3.2-ft (0.9767-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2100, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Historical data used to model annual high wave flooding include hourly measurements of significant wave height, peak wave period, and peak wave direction, and was acquired from offshore wave buoy data from PacIOOS. Maximum surface elevation and depth of the annual high wave flooding is calculated from the mean of the five highest modeled water elevations at each model location along each profile. Output from the simulations is interpolated between transects and compiled in a 5-meter map grid. Depth grid cells with values less than 10 centimeters are not included in the impact assessment. This was done to remove very thin layers of water excursions that (1) are beyond the accuracy of the model and (2) might not constitute a significant impact to land and resources when only occurring once annually. Any low-lying flooded areas that are not connected to the ocean are also removed. Annual high wave flood modeling covered wave-exposed coasts with low-lying development on Maui, Oahu, and Kauai. Annual high wave flooding was not available for the islands of Hawaii, Molokai, and Lanai, nor for harbors or other back-reef areas throughout all the islands. Additional studies would be needed to add the annual high wave flooding for those areas. The maximum annually recurring wave parameters (significant wave height, period, direction) were statistically determined using historical wave climate records and do not include potential changes in future wave climate, the effects of storm surge, or less-frequent high wave events (e.g., a 1-in-10 year wave event). In some locations, the extent of flooding modeled was limited by the extent of the 1-meter DEM. Changes in shoreline location due to coastal erosion are not included in this modeling. As shorelines retreat, annual high wave flooding will reach farther inland along retreating shorelines. Waves are propagated along a "bare earth" DEM which is void of shoreline structures, buildings, and vegetation, and waves are assumed to flow over an impermeable surface. The DEM represents a land surface at one particular time, and may not be representative of the beach shape during the season of most severe wave impact, particularly for highly variable north and west-exposed beaches. Undesirable artifacts of 1D modeling include over-predicted flooding along some transects with deep, shore-perpendicular indentations in the sea bottom such as nearshore reef channels. The 1D modeling does not account for the presence of nearby shallow reef which refracts and dissipates some of the wave energy traveling through the channel toward the shore. Wave flooding modeling may be improved in future efforts by employing more complex and data-intensive 2D modeling and through local field experiments. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: http://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf
Citation
Title Annual High Wave Flooding: Hawaii: 3.2-ft Sea Level Rise Scenario
creation  Date   2017-12-21
issued  Date   2017-12-21
revision  Date   2018-01-31
cited responsible party - originator
individual Name Charles Fletcher
organisation Name  University of Hawaii Coastal Geology Group (CGG)
Contact information
Address
electronic Mail Addressfletcher@soest.hawaii.edu
Linkage for online resource
name
URL:http://www.soest.hawaii.edu/coasts/
protocol http
link function information
Description
target application profile  web browser
cited responsible party - distributor
organisation Name  Pacific Islands Ocean Observing System (PacIOOS)
Contact information
Address
electronic Mail Addressinfo@pacioos.org
Linkage for online resource
name
URL:http://pacioos.org
protocol http
link function information
Description
target application profile  web browser
Service type: Open Geospatial Consortium Web Feature Service (WFS)
Resource extent
Geographic Extent
Geographic Bounding Box
extent Type Code  1
westBoundLongitude  -159.788135633668
eastBoundLongitude  -156.355347039445
northBoundLatitude  22.2305059290235
southBoundLatitude  20.6188666145517
Coupling between service and dataset:  tight
Service operations:
Operation name: GetCapabilities
Linkage for online resource
name OGC-WFS
URL:http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_hcgg_all_wave_flood_2100/ows?service=WFS&version=1.0.0&request=GetCapabilities
protocol OGC:WFS
link function download
Description Open Geospatial Consortium Web Feature Service (WFS). Supported WFS versions include 1.0.0, 1.1.0, and 2.0.0. Supported output formats include CSV, GeoJSON, GeoJSON-P, GML, KML, and Shapefile (Zipped).
Back to top:

Service Identification information: 1

Resource Abstract:
Hawaii is exposed to large waves annually on all open coasts due to its location in the Central North Pacific Ocean. The distance over which waves run-up and wash across the shoreline will increase with sea level rise. As water levels increase, less wave energy will be dissipated through breaking on nearshore reefs and waves will arrive at a higher elevation at the shoreline. Computer model simulations of future annual high wave flooding were conducted by the University of Hawaii Coastal Geology Group using the XBeach (for eXtreme Beach behavior) numerical model developed by a consortium of research institutions. The model propagates the maximum annually recurring wave, calculated from offshore wave buoy data, over the reef and to the shore along one-dimensional (1D) cross-shore profiles extracted from a 1-meter DEM. Profiles are spaced 20 meters apart along the coast. This approach was used to model the transformation of the wave as it breaks across the reef and includes shallow water wave processes such as wave set-up and overtopping. The IPCC AR5 RCP8.5 sea level rise scenario was used in modeling exposure to annual high wave flooding from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet. This particular layer depicts annual high wave flooding using the 3.2-ft (0.9767-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2100, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Historical data used to model annual high wave flooding include hourly measurements of significant wave height, peak wave period, and peak wave direction, and was acquired from offshore wave buoy data from PacIOOS. Maximum surface elevation and depth of the annual high wave flooding is calculated from the mean of the five highest modeled water elevations at each model location along each profile. Output from the simulations is interpolated between transects and compiled in a 5-meter map grid. Depth grid cells with values less than 10 centimeters are not included in the impact assessment. This was done to remove very thin layers of water excursions that (1) are beyond the accuracy of the model and (2) might not constitute a significant impact to land and resources when only occurring once annually. Any low-lying flooded areas that are not connected to the ocean are also removed. Annual high wave flood modeling covered wave-exposed coasts with low-lying development on Maui, Oahu, and Kauai. Annual high wave flooding was not available for the islands of Hawaii, Molokai, and Lanai, nor for harbors or other back-reef areas throughout all the islands. Additional studies would be needed to add the annual high wave flooding for those areas. The maximum annually recurring wave parameters (significant wave height, period, direction) were statistically determined using historical wave climate records and do not include potential changes in future wave climate, the effects of storm surge, or less-frequent high wave events (e.g., a 1-in-10 year wave event). In some locations, the extent of flooding modeled was limited by the extent of the 1-meter DEM. Changes in shoreline location due to coastal erosion are not included in this modeling. As shorelines retreat, annual high wave flooding will reach farther inland along retreating shorelines. Waves are propagated along a "bare earth" DEM which is void of shoreline structures, buildings, and vegetation, and waves are assumed to flow over an impermeable surface. The DEM represents a land surface at one particular time, and may not be representative of the beach shape during the season of most severe wave impact, particularly for highly variable north and west-exposed beaches. Undesirable artifacts of 1D modeling include over-predicted flooding along some transects with deep, shore-perpendicular indentations in the sea bottom such as nearshore reef channels. The 1D modeling does not account for the presence of nearby shallow reef which refracts and dissipates some of the wave energy traveling through the channel toward the shore. Wave flooding modeling may be improved in future efforts by employing more complex and data-intensive 2D modeling and through local field experiments. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: http://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf
Citation
Title Annual High Wave Flooding: Hawaii: 3.2-ft Sea Level Rise Scenario
creation  Date   2017-12-21
issued  Date   2017-12-21
revision  Date   2018-01-31
cited responsible party - originator
individual Name Charles Fletcher
organisation Name  University of Hawaii Coastal Geology Group (CGG)
Contact information
Address
electronic Mail Addressfletcher@soest.hawaii.edu
Linkage for online resource
name
URL:http://www.soest.hawaii.edu/coasts/
protocol http
link function information
Description
target application profile  web browser
cited responsible party - distributor
organisation Name  Pacific Islands Ocean Observing System (PacIOOS)
Contact information
Address
electronic Mail Addressinfo@pacioos.org
Linkage for online resource
name
URL:http://pacioos.org
protocol http
link function information
Description
target application profile  web browser
Service type: Open Geospatial Consortium Web Map Service (WMS)
Resource extent
Geographic Extent
Geographic Bounding Box
extent Type Code  1
westBoundLongitude  -159.788135633668
eastBoundLongitude  -156.355347039445
northBoundLatitude  22.2305059290235
southBoundLatitude  20.6188666145517
Coupling between service and dataset:  tight
Service operations:
Operation name: GetCapabilities
Linkage for online resource
name OGC-WMS
URL:http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_hcgg_all_wave_flood_2100/ows?service=WMS&version=1.3.0&request=GetCapabilities
protocol OGC:WMS
link function download
Description Open Geospatial Consortium Web Map Service (WMS). Supported WMS versions include 1.1.1 and 1.3.0. Supported map formats include AtomPub, GeoRSS, GeoTIFF, GIF, JPEG, KML/KMZ, PDF, PNG, SVG, and TIFF. Supported info formats include GeoJSON, GeoJSON-P, GML, HTML, and plain text.
Back to top:

Service Identification information: 1

Resource Abstract:
Hawaii is exposed to large waves annually on all open coasts due to its location in the Central North Pacific Ocean. The distance over which waves run-up and wash across the shoreline will increase with sea level rise. As water levels increase, less wave energy will be dissipated through breaking on nearshore reefs and waves will arrive at a higher elevation at the shoreline. Computer model simulations of future annual high wave flooding were conducted by the University of Hawaii Coastal Geology Group using the XBeach (for eXtreme Beach behavior) numerical model developed by a consortium of research institutions. The model propagates the maximum annually recurring wave, calculated from offshore wave buoy data, over the reef and to the shore along one-dimensional (1D) cross-shore profiles extracted from a 1-meter DEM. Profiles are spaced 20 meters apart along the coast. This approach was used to model the transformation of the wave as it breaks across the reef and includes shallow water wave processes such as wave set-up and overtopping. The IPCC AR5 RCP8.5 sea level rise scenario was used in modeling exposure to annual high wave flooding from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet. This particular layer depicts annual high wave flooding using the 3.2-ft (0.9767-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2100, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Historical data used to model annual high wave flooding include hourly measurements of significant wave height, peak wave period, and peak wave direction, and was acquired from offshore wave buoy data from PacIOOS. Maximum surface elevation and depth of the annual high wave flooding is calculated from the mean of the five highest modeled water elevations at each model location along each profile. Output from the simulations is interpolated between transects and compiled in a 5-meter map grid. Depth grid cells with values less than 10 centimeters are not included in the impact assessment. This was done to remove very thin layers of water excursions that (1) are beyond the accuracy of the model and (2) might not constitute a significant impact to land and resources when only occurring once annually. Any low-lying flooded areas that are not connected to the ocean are also removed. Annual high wave flood modeling covered wave-exposed coasts with low-lying development on Maui, Oahu, and Kauai. Annual high wave flooding was not available for the islands of Hawaii, Molokai, and Lanai, nor for harbors or other back-reef areas throughout all the islands. Additional studies would be needed to add the annual high wave flooding for those areas. The maximum annually recurring wave parameters (significant wave height, period, direction) were statistically determined using historical wave climate records and do not include potential changes in future wave climate, the effects of storm surge, or less-frequent high wave events (e.g., a 1-in-10 year wave event). In some locations, the extent of flooding modeled was limited by the extent of the 1-meter DEM. Changes in shoreline location due to coastal erosion are not included in this modeling. As shorelines retreat, annual high wave flooding will reach farther inland along retreating shorelines. Waves are propagated along a "bare earth" DEM which is void of shoreline structures, buildings, and vegetation, and waves are assumed to flow over an impermeable surface. The DEM represents a land surface at one particular time, and may not be representative of the beach shape during the season of most severe wave impact, particularly for highly variable north and west-exposed beaches. Undesirable artifacts of 1D modeling include over-predicted flooding along some transects with deep, shore-perpendicular indentations in the sea bottom such as nearshore reef channels. The 1D modeling does not account for the presence of nearby shallow reef which refracts and dissipates some of the wave energy traveling through the channel toward the shore. Wave flooding modeling may be improved in future efforts by employing more complex and data-intensive 2D modeling and through local field experiments. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: http://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf
Citation
Title Annual High Wave Flooding: Hawaii: 3.2-ft Sea Level Rise Scenario
creation  Date   2017-12-21
issued  Date   2017-12-21
revision  Date   2018-01-31
cited responsible party - originator
organisation Name  University of Hawaii Coastal Geology Group (CGG)
Contact information
Linkage for online resource
name
URL:http://www.soest.hawaii.edu/coasts/
protocol http
link function information
Description
target application profile  web browser
cited responsible party - distributor
organisation Name  Pacific Islands Ocean Observing System (PacIOOS)
Contact information
Address
electronic Mail Addressinfo@pacioos.org
Linkage for online resource
name
URL:http://pacioos.org
protocol http
link function information
Description
target application profile  web browser
Service type: Open Geospatial Consortium Web Map Service - Cached (WMS-C)
Resource extent
Geographic Extent
Geographic Bounding Box
extent Type Code  1
westBoundLongitude  -159.788135633668
eastBoundLongitude  -156.355347039445
northBoundLatitude  22.2305059290235
southBoundLatitude  20.6188666145517
Coupling between service and dataset:  tight
Service operations:
Operation name: GetCapabilities
Linkage for online resource
name OGC-WMS-C
URL:http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/gwc/service/wms?service=WMS&version=1.1.1&request=GetCapabilities&tiled=true
protocol OGC:WMS-C
link function download
Description Open Geospatial Consortium Web Map Service - Cached (WMS-C). Use of WMS-C is similar to traditional WMS but with the addition of the "tiled=true" parameter, which triggers GeoServer to pull map tiles from GeoWebCache if they have been previously generated. This can dramatically improve performance, especially for larger datasets. Supported map formats include JPEG and PNG. Supported info formats include GeoJSON, GML, HTML, and plain text.
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Grid spatial representation

number of grid dimensions: 2
Grid axis property:
Grid Dimension
Dimension Name:  column
Dimension Size
Grid Dimension
Dimension Name:  row
Dimension Size
cell geometry type:  area
transformation parameter availability:
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Band
descriptor
sequence Identifier
name geom
attribute Type
Name gml:MultiSurfacePropertyType
Band
descriptor
sequence Identifier
name id
attribute Type
Name decimal

Scope of quality information
scope level  dataset
Resource lineage description
Lineage statement
OGC web services (WMS and WFS) enabled by PacIOOS via GeoServer. Original data from source provider may have been reformatted, reprojected, or adjusted in other ways to optimize these capabilities.

Resource distribution information

Distributor
distributor contact - publisher
individual Name
organisation Name  Pacific Islands Ocean Observing System (PacIOOS)
Contact information
Address
electronic Mail Addressinfo@pacioos.org
Linkage for online resource
name URL for the data publisher
URL:http://pacioos.org
protocol http
link function information
Description This URL provides contact information for the publisher of this dataset
target application profile  web browser
Digital Transfer Options
Linkage for online resource
name GeoServer
URL:http://geo.pacioos.hawaii.edu/geoserver/
protocol http
link function download
Description This URL provides access to this dataset via GeoServer, which offers multiple output formats and an OpenLayers viewer.
Digital Transfer Options
Linkage for online resource
name GeoExplorer
URL:http://geo.pacioos.hawaii.edu/geoexplorer/
protocol http
link function download
Description This URL provides a viewer for this dataset.
Digital Transfer Options
Linkage for online resource
name Hawaii Sea Level Rise Viewer
URL:http://pacioos.org/shoreline/slr-hawaii/
protocol http
link function information
Description This URL provides a viewer for this dataset.
Digital Transfer Options
Linkage for online resource
name Hawaii Sea Level Rise Vulnerability and Adaptation Report
URL:http://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf
protocol http
link function information
Description This dataset was created in support of the Hawaii Sea Level Rise Vulnerability and Adaptation Report (2017).
Metadata data stamp:  2018-01-31
Resource Maintenance Information
maintenance or update frequency:
notes: This record was translated from GeoServer OGC Web Services (OWS) using PacIOOS software.
Metadata contact - pointOfContact
individual Name Charles Fletcher
organisation Name  University of Hawaii Coastal Geology Group (CGG)
Contact information
Address
electronic Mail Addressfletcher@soest.hawaii.edu
Linkage for online resource
name
URL:http://www.soest.hawaii.edu/coasts/
protocol http
link function information
Description
target application profile  web browser
Metadata scope code  dataset
Metadata scope code  service
Metadata language  eng
Metadata character set encoding:   UTF8
Metadata standard for this record:  ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data
standard version:  ISO 19115-2:2009(E)
Metadata record identifier:  hi_hcgg_all_wave_flood_2100

Metadata record format is ISO19139-2 XML (MI_Metadata)