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Layer: Climate (0)

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• Annual Rainfall (inches)
• Annual Rainfall (millimeters)
• Rain Gauges
• RainGaugeStationsNotUsedInAtlas
• Ocean Temp Amplitude Difference (Degrees Celcius)
• Ocean Temp Average Difference (Degrees Celcius)
• Annual Avg Daily Solar Insolation - DNI
• Annual Avg Daily Solar Insolation - GHI
• Solar Insolation
• Solar Insolation Ranges
• Wind Power Density at 50m (W/m2)
• Mean Wind Speed at 30m (m/s)
• Mean Wind Speed at 50m (m/s)
• Mean Wind Speed at 70m (m/s)
• Mean Wind Speed at 100m (m/s)
• Runoff_2D
• Solar_2D
• Sea Level Rise (Zoom in for Best Results)
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Layer: Annual Rainfall (inches) (13)

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Description: Mean Annual Rainfall Isohyets in Inches for the Islands of Hawai‘i, Kaho‘olawe, Kaua‘i, Lāna‘i, Maui, Moloka‘i and O‘ahu. Statewide GIS program staff downloaded data from UH Geography Department, Rainfall Atlas of Hawaii website, February, 2019. Annual and monthly isohyets of mean rainfall were available for download; the Statewide GIS program makes available only the annual layer – both the monthly layer and the original annual layers are available from the Rainfall Atlas of Hawai‘i. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/isohyets.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: Giambelluca, T.W., Q. Chen, A.G. Frazier, J.P. Price, Y.-L. Chen, P.-S. Chu, J.K. Eischeid, and D.M. Delparte, 2013: Online Rainfall Atlas of Hawai‘i. Bull. Amer. Meteor. Soc. 94, 313-316, doi: 10.1175/BAMS-D-11-00228.1.

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Layer: Annual Rainfall (millimeters) (26)

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Description: Mean Annual Rainfall Isohyets in Millimeters for the Islands of Hawai‘i, Kaho‘olawe, Kaua‘i, Lāna‘i, Maui, Moloka‘i and O‘ahu. Statewide GIS program staff downloaded data from UH Geography Department, Rainfall Atlas of Hawaii website, February, 2019. Annual and monthly isohyets of mean rainfall were available for download; the Statewide GIS program makes available only the annual layer – both the monthly layer and the original annual layers are available from the Rainfall Atlas of Hawai‘i. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/isohyets.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: Giambelluca, T.W., Q. Chen, A.G. Frazier, J.P. Price, Y.-L. Chen, P.-S. Chu, J.K. Eischeid, and D.M. Delparte, 2013: Online Rainfall Atlas of Hawai‘i. Bull. Amer. Meteor. Soc. 94, 313-316, doi: 10.1175/BAMS-D-11-00228.1.

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Layer: Rain Gauges (27)

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Copyright Text: Rainfall Atlas of Hawai‘i University of Hawai‘i at Mānoa, Department of Geography rainfall@hawaii.edu http://rainfall.geography.hawaii.edu/

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Layer: RainGaugeStationsNotUsedInAtlas (37)

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Description: Raingages that have operated in Hawai‘i at various times but were not used in the Rainfall Atlas analysis for various reasons. Source: 2011 Rainfall Atlas of Hawaii. Note: Apr 2024 - Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of 2016 GIS database conversion and were no longer needed. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/RainGaugeStationsNotUsedInAtlas.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: Rainfall Atlas of Hawai‘i University of Hawai‘i at Mānoa, Department of Geography rainfall@hawaii.edu http://rainfall.geography.hawaii.edu/

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Layer: Ocean Temp Amplitude Difference (Degrees Celcius) (47)

Name: Ocean Temp Amplitude Difference (Degrees Celcius)

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Description: Ocean_temp_am_contour: Contour Lines of amplitudes of ocean temperature differences, derived from ocean_temp_am layer, by 0.05°C intervals. Ocean_temp_am layer depicts yearly amplitudes of ocean temperature differences between 20m and 1000m water depths for the period July 1, 2007 and June 30, 2009; pixel value = amplitude of ocean temperature differences (°C). Note: Apr 2024 - Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of 2016 GIS database conversion and were no longer needed. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/ocean_temp.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: Gerard C. Nihous, Dept of Ocean and Resources Engineering, University of Hawaii, 2010. For more information, see “Mapping available Ocean Thermal Energy Conversion resources around the main Hawaiian Islands with state-of-the-art tools,” JRSE_GCN_Published_online.pdf.

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Layer: Ocean Temp Average Difference (Degrees Celcius) (48)

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Description: Ocean_temp_av_contour: Contour Lines of average ocean temperature differences, derived from ocean_temp_av layer, by 0.1°C intervals. Ocean_temp_av layer depicts average ocean temperature differences between 20m and 1000m water depths for the period July 1, 2007 and June 30, 2009; pixel value = average ocean temperature difference (°C). Note: Apr 2024 - Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of 2016 GIS database conversion and were no longer needed. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/ocean_temp.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: Gerard C. Nihous, Dept of Ocean and Resources Engineering, University of Hawaii, 2010. For more information, see “Mapping available Ocean Thermal Energy Conversion resources around the main Hawaiian Islands with state-of-the-art tools,” JRSE_GCN_Published_online.pdf.

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Layer: Annual Avg Daily Solar Insolation - DNI (28)

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Description: Solar Resource Potential in DNI (Direct Normal Irradiance). Monthly and annual average solar resource potential for the state of Hawaii measured in direct normal irradiance (DNI). This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. The insolation values represent the average solar energy available to a concentrating collector on a 2-axis tracker, such as a dish or a power tower. Note: Apr 2024 - Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of 2016 GIS database conversion and were no longer needed. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/solar_resource_dni.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: State University of New York at Albany and National Renewable Energy Laboratory.

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Description: Solar Resource Potential in GHI (Global Horizontal Irradiance). Monthly and annual average solar resource potential for the state of Hawaii measured in global horizontal irradiance (GHI). This data provides monthly average and annual average daily total solar resource averaged over surface cells of 0.1 degrees in both latitude and longitude, or about 10 km in size. Note: Apr 2024 - Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of 2016 GIS database conversion and were no longer needed. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/solar_resource_ghi.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: State University of New York at Albany and National Renewable Energy Laboratory.

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Layer: Solar Insolation (30)

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Description: Estimated Daily Solar Insulation Contours, in calories/sq.cm/day. Source: State Dept. of Planning and Economic Development, Energy Division "Sunshine Maps." These maps are based on extrapolation of a limited number of data points and should be used as a general first-cut illustration of irradiance. They were originally intended to simply distinguish between "sunny" areas and "cloudy" areas. The sunshine maps should not be used for sizing PV arrays; map users are advised to seek additional data on sun-hours per day. The boundaries depicted in these maps are approximate only. Note: Apr 2024 - Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of 2016 GIS database conversion and were no longer needed. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/solrad.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: Hawaii State Energy Office; Hawaii Statewide GIS Program

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Copyright Text: Hawaii State Energy Office; Hawaii Statewide GIS Program

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Layer: Wind Power Density at 50m (W/m2) (36)

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Description: Contours showing wind power density (watts/sq. meter) at 50 meters above ground. Wind energy resource data collected using MesoMap system, AWS Truewind, LLC, June 30, 2004. Note: Apr 2024 - Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of 2016 GIS database conversion and were no longer needed. For more information, see metadata at https://files.hawaii.gov/dbedt/op/gis/data/wind_data.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

Copyright Text: AWS TrueWind LLC; State of Hawaii Department of Business, Economic Development and Toursim, State Energy Office

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• SLR Potential Economic Loss - 0.5 Ft. Scenario
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• SLR Potential Flooded Highways - 0.5 Ft. Scenario
• SLR Potential Flooded Highways - 1.1 Ft. Scenario
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Layer: SLR - Vegetation Line (2005-2008) (41)

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Description: This vegetation line represents the trend of annually stable significant vegetation on beach faces in Hawaii for the islands of Kauai, Maui, and Oahu as identified using digital 0.5-m orthorectified aerial photography dating from 2005-2008. This is a proxy for where state agencies measure their construction setback from and thereby represents current coastal conditions. Data produced in 2012 by the Coastal Geology Group (CGG) of Dr. Charles "Chip" Fletcher at the department of Geology & Geophysics (G&G) in the School of Ocean and Earth Science and Technology (SOEST) of the University of Hawaii at Manoa. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. Not to be used without permission. Users of these data should cite the following publication: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf: Romine, B.M., Fletcher, C.H., Genz, A.S., Barbee, M.M., Dyer, Matthew, Anderson, T.R., Lim, S.C., Vitousek, Sean, Bochicchio, Christopher, and Richmond, B.M., 2012, National Assessment of Shoreline Change: A GIS compilation of vector shorelines and associated shoreline change data for the sandy shorelines of Kauai, Oahu, and Maui, Hawaii: U.S. Geological Survey Open-File Report 2011-1009.

Copyright Text: SOEST, UH CGG, PacIOOS

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Layer: SLR Exposure Area - 0.5 Ft. Scenario (42)

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Description: Modeling, using the best available data and methods, was conducted to determine the potential future exposure of each of the main Hawaiian Islands to multiple coastal hazards as a result of sea level rise. Three chronic flooding hazards were modeled by the University of Hawaii Coastal Geology Group (CGG): a. passive flooding, b. annual high wave flooding, and c. coastal erosion (see descriptions of individual hazard layers for further details). The footprint of these three hazards were combined by Tetra Tech, Inc. to define the projected extent of chronic flooding due to sea level rise, called the sea level rise exposure area (SLR-XA). Flooding in the SLR-XA is associated with long-term, chronic hazards punctuated by annual or more frequent flooding events. Each of these hazards were modeled for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 sea level rise scenario. This particular layer depicts SLR-XA using the 0.5-ft (0.1660-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2030, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Assumptions and Limitations: The assumptions and limitations described for the three chronic flooding hazards apply to the SLR-XA. Not all hazards were modeled for each island due to limited historical information and geospatial data. The SLR-XA for the islands of Hawaii, Molokai, and Lanai is based on modeling passive flooding only. Additional studies would be needed to add the annual high wave flooding and coastal erosion to the SLR-XA for those islands. The SLR-XA is an overlay of three hazards and does not account for interactive nature of these hazards as would be expected by natural processes. As with the individual exposure models, the SLR-XA maps hazard exposure on the present landscape. The modeling does not account for future (unknown) land use changes, including any adaptation measures. The SLR-XA also does not include impacts from less frequent high wave events (e.g., a 1-in-10 year event), storm surge, or tsunami. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Exposure Area - 1.1 Ft. Scenario (43)

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Description: Modeling, using the best available data and methods, was conducted to determine the potential future exposure of each of the main Hawaiian Islands to multiple coastal hazards as a result of sea level rise. Three chronic flooding hazards were modeled by the University of Hawaii Coastal Geology Group (CGG): a. passive flooding, b. annual high wave flooding, and c. coastal erosion (see descriptions of individual hazard layers for further details). The footprint of these three hazards were combined by Tetra Tech, Inc. to define the projected extent of chronic flooding due to sea level rise, called the sea level rise exposure area (SLR-XA). Flooding in the SLR-XA is associated with long-term, chronic hazards punctuated by annual or more frequent flooding events. Each of these hazards were modeled for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 sea level rise scenario. This particular layer depicts SLR-XA using the 1.1-ft (0.3224-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2050, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Assumptions and Limitations: The assumptions and limitations described for the three chronic flooding hazards apply to the SLR-XA. Not all hazards were modeled for each island due to limited historical information and geospatial data. The SLR-XA for the islands of Hawaii, Molokai, and Lanai is based on modeling passive flooding only. Additional studies would be needed to add the annual high wave flooding and coastal erosion to the SLR-XA for those islands. The SLR-XA is an overlay of three hazards and does not account for interactive nature of these hazards as would be expected by natural processes. As with the individual exposure models, the SLR-XA maps hazard exposure on the present landscape. The modeling does not account for future (unknown) land use changes, including any adaptation measures. The SLR-XA also does not include impacts from less frequent high wave events (e.g., a 1-in-10 year event), storm surge, or tsunami. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Exposure Area - 2.0 Ft. Scenario (44)

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Description: Modeling, using the best available data and methods, was conducted to determine the potential future exposure of each of the main Hawaiian Islands to multiple coastal hazards as a result of sea level rise. Three chronic flooding hazards were modeled by the University of Hawaii Coastal Geology Group (CGG): a. passive flooding, b. annual high wave flooding, and c. coastal erosion (see descriptions of individual hazard layers for further details). The footprint of these three hazards were combined by Tetra Tech, Inc. to define the projected extent of chronic flooding due to sea level rise, called the sea level rise exposure area (SLR-XA). Flooding in the SLR-XA is associated with long-term, chronic hazards punctuated by annual or more frequent flooding events. Each of these hazards were modeled for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 sea level rise scenario. This particular layer depicts SLR-XA using the 2.0-ft (0.5991-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2050, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Assumptions and Limitations: The assumptions and limitations described for the three chronic flooding hazards apply to the SLR-XA. Not all hazards were modeled for each island due to limited historical information and geospatial data. The SLR-XA for the islands of Hawaii, Molokai, and Lanai is based on modeling passive flooding only. Additional studies would be needed to add the annual high wave flooding and coastal erosion to the SLR-XA for those islands. The SLR-XA is an overlay of three hazards and does not account for interactive nature of these hazards as would be expected by natural processes. As with the individual exposure models, the SLR-XA maps hazard exposure on the present landscape. The modeling does not account for future (unknown) land use changes, including any adaptation measures. The SLR-XA also does not include impacts from less frequent high wave events (e.g., a 1-in-10 year event), storm surge, or tsunami. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Description: Modeling, using the best available data and methods, was conducted to determine the potential future exposure of each of the main Hawaiian Islands to multiple coastal hazards as a result of sea level rise. Three chronic flooding hazards were modeled by the University of Hawaii Coastal Geology Group (CGG): a. passive flooding, b. annual high wave flooding, and c. coastal erosion (see descriptions of individual hazard layers for further details). The footprint of these three hazards were combined by Tetra Tech, Inc. to define the projected extent of chronic flooding due to sea level rise, called the sea level rise exposure area (SLR-XA). Flooding in the SLR-XA is associated with long-term, chronic hazards punctuated by annual or more frequent flooding events. Each of these hazards were modeled for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 sea level rise scenario. This particular layer depicts SLR-XA 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. Assumptions and Limitations: The assumptions and limitations described for the three chronic flooding hazards apply to the SLR-XA. Not all hazards were modeled for each island due to limited historical information and geospatial data. The SLR-XA for the islands of Hawaii, Molokai, and Lanai is based on modeling passive flooding only. Additional studies would be needed to add the annual high wave flooding and coastal erosion to the SLR-XA for those islands. The SLR-XA is an overlay of three hazards and does not account for interactive nature of these hazards as would be expected by natural processes. As with the individual exposure models, the SLR-XA maps hazard exposure on the present landscape. The modeling does not account for future (unknown) land use changes, including any adaptation measures. The SLR-XA also does not include impacts from less frequent high wave events (e.g., a 1-in-10 year event), storm surge, or tsunami. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Passive Flooding - 0.5 Ft. Scenario (46)

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Description: Passive flooding was modeled by the University of Hawaii Coastal Geology Group using a modified "bathtub" approach following methods described in Cooper et al. 2013. The passive flooding model provides an initial assessment of low-lying areas susceptible to flooding by sea level rise. Passive flooding includes areas that are hydrologically connected to the ocean (marine flooding) and low-lying areas that are not hydrologically connected to the ocean (groundwater). Data used in modeling passive flooding include global sea level rise projections, digital elevation models (DEM), and the mean higher high water (MHHW) datum from local tide gauges. DEMs used in this study are freely available from NOAA and the U.S. Army Corps of Engineers (USACE). DEMs are derived from aerial light detection and ranging (LiDAR) data. The horizontal and vertical positional accuracies of the DEMs conform to flood hazard mapping standards of the Federal Emergency Management Agency (FEMA 2012). The IPCC AR5 RCP8.5 sea level rise scenario was used in modeling exposure to passive flooding from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet. This particular layer depicts passive flooding using the 0.5-ft (0.1660-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2030, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Passive flooding was modeled using the DEMs in geographic information systems software to identify areas below a certain sea level height (flooded by sea level rise) when raising water levels above current Mean Higher High Water (MHHW) tidal datum. In other words, water levels are shown as they would appear during MHHW, or the average higher high water height of each tidal day. The area flooded was derived by subtracting a tidal surface model from the DEM. Assumptions and Limitations: In many areas around the State, representing sea level rise from passive marine flooding will likely produce an underestimate of the area inundated or permanently submerged because the model does not account for waves and coastal erosion, important processes along Hawaii's highly dynamic coasts. For this reason, coastal erosion and annual high wave flooding (provided separately) are also modeled to provide a more comprehensive picture of the extent of hazard exposure. The passive flooding model does not explicitly include flooding through storm drain systems and other underground infrastructure, which would contribute to flooding in many low-lying areas identified in the model. The DEMs used in the modeling depict a smoothed topographic surface and do not identify basements, parking garages, and other development below ground that would be affected by marine and groundwater flooding with sea level rise. The passive flooding model is intended to provide an initial screening tool for sea level rise vulnerability. More detailed hydrologic and engineering modeling may be necessary to fully assess passive marine flooding hazards at the scale of individual properties. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

Copyright Text: SOEST, UH CGG, PacIOOS

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Description: 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 0.5-ft (0.1660-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2030, 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. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Annual High Wave Flooding - 1.1 Ft. Scenario (53)

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Description: 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 2.0-ft (0.5991-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2075, 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. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

Copyright Text: SOEST, UH CGG, PacIOOS

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Layer: SLR Annual High Wave Flooding - 3.2 Ft. Scenario (55)

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Name: SLR Annual High Wave Flooding - 3.2 Ft. Scenario

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Description: 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. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

Copyright Text: SOEST, UH CGG, PacIOOS

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Layer: SLR Coastal Erosion (Line) - 0.5 Ft. Scenario (56)

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Description: UPDATED - June 2023. The erosion hazard line is a spatial depiction of the landward extent of the erosion hazard zone, lands falling within a zone with a certain likelihood (80%) of exposure to erosion, according to probabilistic modeling. This erosion hazard zone is a spatial depiction of lands that are estimated to be vulnerable to erosion by the specified year. The hazard zone is not meant to be a prediction of the exact lands that will be eroded in the future, nor is it a specific prediction of where the shoreline will be in the future. The erosion hazard line includes portions of shoreline where the 80th percentile probability (hazard line) falls seaward of the modern vegetation line, representing possible beach growth. Future coastal change is projected following Anderson et al. (2015), in which historical shoreline trends are combined with projected accelerations in sea level rise (IPCC RCP 8.5). At each transect location (spaced 20 m apart), the 80th percentile of the projected vegetation line (higher percentiles are more landward) is used as the inland extent of the projected erosion hazard zone for the specified year. This inland extent is connected with the coastline (zero-elevation contour, mean sea level) to create polygons depicting erosion hazard zones. The projected shoreline change rate is the estimated long-term trend for the shoreline that is likely located somewhere within the hazard zone (unless the shoreline has high rates of historical advance). The exact location of a future shoreline, however, is not shown within an erosion hazard zone. Prior versions of the erosion hazard polylines were transformed (reprojected) incorrectly into the NAD83(HARN) datum. This update, dated June, 2023 represents files correctly transformed into the NAD83(HARN) datum. Metadata was modified to describe the polyline layers and to reference the University of Hawaii School of Ocean and Earth Science Climate Research Collaborative (CRC) as the data source for the layers, replacing older references to the UH SOEST Coastal Geology Group. This represents a subversion release: no modeling was performed to provide or change future hazard zone or line positions or extents. This product/data is funded in part by the Hawaii Office of Planning, Coastal Zone Management Program, pursuant to National Oceanic and Atmospheric Administration Award No. NA17NOS4190171, funded in part by the Coastal Zone Management Act of 1972, as amended, administered by the Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, United States Department of Commerce. These data and related items of information have not been formally disseminated by NOAA, and do not represent any agency determination, view, or policy. This data is a portion of a larger project to compile shoreline change data and model future shoreline change of the islands of Kauai, Oahu, and Maui. Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline positions and to quantify shoreline change through time.

Copyright Text: University of Hawaiʻi at Mānoa; Climate Resilience Collaborative (CRC); School of Ocean and Earth Science and Technology; Coastal Zone Management Program (CZM); National Oceanic and Atmospheric Administration (NOAA)

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Layer: SLR Coastal Erosion (Line) - 1.1 Ft. Scenario (57)

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Name: SLR Coastal Erosion (Line) - 1.1 Ft. Scenario

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Description: UPDATED - June 2023. The erosion hazard line is a spatial depiction of the landward extent of the erosion hazard zone, lands falling within a zone with a certain likelihood (80%) of exposure to erosion, according to probabilistic modeling. This erosion hazard zone is a spatial depiction of lands that are estimated to be vulnerable to erosion by the specified year. The hazard zone is not meant to be a prediction of the exact lands that will be eroded in the future, nor is it a specific prediction of where the shoreline will be in the future. The erosion hazard line includes portions of shoreline where the 80th percentile probability (hazard line) falls seaward of the modern vegetation line, representing possible beach growth. Future coastal change is projected following Anderson et al. (2015), in which historical shoreline trends are combined with projected accelerations in sea level rise (IPCC RCP 8.5). At each transect location (spaced 20 m apart), the 80th percentile of the projected vegetation line (higher percentiles are more landward) is used as the inland extent of the projected erosion hazard zone for the specified year. This inland extent is connected with the coastline (zero-elevation contour, mean sea level) to create polygons depicting erosion hazard zones. The projected shoreline change rate is the estimated long-term trend for the shoreline that is likely located somewhere within the hazard zone (unless the shoreline has high rates of historical advance). The exact location of a future shoreline, however, is not shown within an erosion hazard zone. Prior versions of the erosion hazard polylines were transformed (reprojected) incorrectly into the NAD83(HARN) datum. This update, dated June, 2023 represents files correctly transformed into the NAD83(HARN) datum. Metadata was modified to describe the polyline layers and to reference the University of Hawaii School of Ocean and Earth Science Climate Research Collaborative (CRC) as the data source for the layers, replacing older references to the UH SOEST Coastal Geology Group. This represents a subversion release: no modeling was performed to provide or change future hazard zone or line positions or extents.This product/data is funded in part by the Hawaii Office of Planning, Coastal Zone Management Program, pursuant to National Oceanic and Atmospheric Administration Award No. NA17NOS4190171, funded in part by the Coastal Zone Management Act of 1972, as amended, administered by the Office for Coastal Management, National Ocean Service, National Oceanic and Atmospheric Administration, United States Department of Commerce. These data and related items of information have not been formally disseminated by NOAA, and do not represent any agency determination, view, or policy. This data is a portion of a larger project to compile shoreline change data and model future shoreline change of the islands of Kauai, Oahu, and Maui. Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the fact that coastal infrastructure is subjected to flooding and erosion. As a result, there is an increased demand for accurate information regarding past and present shoreline positions and to quantify shoreline change through time.

Copyright Text: University of Hawaiʻi at Mānoa; Climate Resilience Collaborative (CRC); School of Ocean and Earth Science and Technology; Coastal Zone Management Program (CZM); National Oceanic and Atmospheric Administration (NOAA)

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Layer: SLR Coastal Erosion (Line) - 2.0 Ft. Scenario (58)

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Copyright Text: University of Hawaiʻi at Mānoa; Climate Resilience Collaborative (CRC); School of Ocean and Earth Science and Technology; Coastal Zone Management Program (CZM); National Oceanic and Atmospheric Administration (NOAA)

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Copyright Text: University of Hawaiʻi at Mānoa; Climate Resilience Collaborative (CRC); School of Ocean and Earth Science and Technology; Coastal Zone Management Program (CZM); National Oceanic and Atmospheric Administration (NOAA)

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Description: UPDATED - Nov. 2020. Studies of historical shoreline change using aerial photographs and survey maps show that 70% of beaches on Kauai, Oahu, and Maui are eroding (receding landward) (Fletcher et al. 2012). Beaches exist in a delicate balance between existing water levels, wave energy, and sand supply. Coastal erosion modeling was conducted for sandy shorelines of Kauai, Oahu, and Maui by the University of Hawaii Coastal Geology Group. The methods are described in Anderson et al. (2015) and combine historical shoreline change data with a model of beach profile response to sea level rise from Davidson-Arnott (2005) in order to estimate probabilities of future exposure to erosion at transects (shore-perpendicular measurement locations) spaced approximately 20 meters apart along the shoreline. The model accounts for localized alongshore variability in shoreline change by incorporating trends from the historical erosion mapping studies. Historical data used to model coastal erosion consisted of: (1) historical shoreline positions and erosion rates measured from high-resolution (0.5 meters) ortho-rectified aerial photographs and NOAA topographic charts dating back to the early 1900s (Fletcher et al. 2012, Romine et al. 2013), and (2) beach profile field survey data (Gibbs et al. 2001, Fletcher et al. 2012). The vegetation line was identified in the most recent aerial photography dating from 2006 to 2008. The output of the modeling is the estimated exposure zone to future erosion hazards. Based on the model and IPCC AR5 RCP8.5 sea level rise scenario, there is an 80% probability that land impacted by erosion would be confined within the exposure zone at that particular time. The exposure zones extend landward from the current-day shoreline (vegetation line) up to the 80% cumulative probability contour from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet, which incorporates the uncertainty (upper and lower bounds) of the IPCC RCP8.5 sea level rise projection. This particular layer depicts coastal erosion using the 0.5-ft (0.1660-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2030, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Assumptions and Limitations: Historical shoreline change data and beach profiles needed to model coastal erosion are available only for sandy shores of Kauai, Oahu, and Maui. Exposure was not modeled for less-erodible rocky coasts and bluffs, though the latter can be prone to sudden failure in some areas. In addition, modeling did not account for: (1) existing seawalls or other coastal armoring in the backshore; (2) increasing wave energy across the fringing reef with sea level rise; (3) possible changes in reef accretion and nearshore sediment processes with sea level rise; and (4) possible changes to sediment supply from future shoreline development and engineering, such as construction or removal of coastal armoring or other coastal engineering. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. Users of these data should cite the following publication: Anderson, T.R., Fletcher, C.H., Barbee, M.M., Frazer, L.N., and B.M. Romine (2015). Doubling of Coastal Erosion Under Rising Sea Level by Mid-Century in Hawaii, Natural Hazards, doi:10.1007/s11069-015-1698-6. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Coastal Erosion - 1.1 Ft. Scenario (61)

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Description: UPDATED - Nov. 2020. Studies of historical shoreline change using aerial photographs and survey maps show that 70% of beaches on Kauai, Oahu, and Maui are eroding (receding landward) (Fletcher et al. 2012). Beaches exist in a delicate balance between existing water levels, wave energy, and sand supply. Coastal erosion modeling was conducted for sandy shorelines of Kauai, Oahu, and Maui by the University of Hawaii Coastal Geology Group. The methods are described in Anderson et al. (2015) and combine historical shoreline change data with a model of beach profile response to sea level rise from Davidson-Arnott (2005) in order to estimate probabilities of future exposure to erosion at transects (shore-perpendicular measurement locations) spaced approximately 20 meters apart along the shoreline. The model accounts for localized alongshore variability in shoreline change by incorporating trends from the historical erosion mapping studies. Historical data used to model coastal erosion consisted of: (1) historical shoreline positions and erosion rates measured from high-resolution (0.5 meters) ortho-rectified aerial photographs and NOAA topographic charts dating back to the early 1900s (Fletcher et al. 2012, Romine et al. 2013), and (2) beach profile field survey data (Gibbs et al. 2001, Fletcher et al. 2012). The vegetation line was identified in the most recent aerial photography dating from 2006 to 2008. The output of the modeling is the estimated exposure zone to future erosion hazards. Based on the model and IPCC AR5 RCP8.5 sea level rise scenario, there is an 80% probability that land impacted by erosion would be confined within the exposure zone at that particular time. The exposure zones extend landward from the current-day shoreline (vegetation line) up to the 80% cumulative probability contour from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet, which incorporates the uncertainty (upper and lower bounds) of the IPCC RCP8.5 sea level rise projection. This particular layer depicts coastal erosion using the 1.1-ft (0.3224-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2050, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Assumptions and Limitations: Historical shoreline change data and beach profiles needed to model coastal erosion are available only for sandy shores of Kauai, Oahu, and Maui. Exposure was not modeled for less-erodible rocky coasts and bluffs, though the latter can be prone to sudden failure in some areas. In addition, modeling did not account for: (1) existing seawalls or other coastal armoring in the backshore; (2) increasing wave energy across the fringing reef with sea level rise; (3) possible changes in reef accretion and nearshore sediment processes with sea level rise; and (4) possible changes to sediment supply from future shoreline development and engineering, such as construction or removal of coastal armoring or other coastal engineering. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. Users of these data should cite the following publication: Anderson, T.R., Fletcher, C.H., Barbee, M.M., Frazer, L.N., and B.M. Romine (2015). Doubling of Coastal Erosion Under Rising Sea Level by Mid-Century in Hawaii, Natural Hazards, doi:10.1007/s11069-015-1698-6. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Coastal Erosion - 2.0 Ft. Scenario (62)

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Description: UPDATED - Nov. 2020. Studies of historical shoreline change using aerial photographs and survey maps show that 70% of beaches on Kauai, Oahu, and Maui are eroding (receding landward) (Fletcher et al. 2012). Beaches exist in a delicate balance between existing water levels, wave energy, and sand supply. Coastal erosion modeling was conducted for sandy shorelines of Kauai, Oahu, and Maui by the University of Hawaii Coastal Geology Group. The methods are described in Anderson et al. (2015) and combine historical shoreline change data with a model of beach profile response to sea level rise from Davidson-Arnott (2005) in order to estimate probabilities of future exposure to erosion at transects (shore-perpendicular measurement locations) spaced approximately 20 meters apart along the shoreline. The model accounts for localized alongshore variability in shoreline change by incorporating trends from the historical erosion mapping studies. Historical data used to model coastal erosion consisted of: (1) historical shoreline positions and erosion rates measured from high-resolution (0.5 meters) ortho-rectified aerial photographs and NOAA topographic charts dating back to the early 1900s (Fletcher et al. 2012, Romine et al. 2013), and (2) beach profile field survey data (Gibbs et al. 2001, Fletcher et al. 2012). The vegetation line was identified in the most recent aerial photography dating from 2006 to 2008. The output of the modeling is the estimated exposure zone to future erosion hazards. Based on the model and IPCC AR5 RCP8.5 sea level rise scenario, there is an 80% probability that land impacted by erosion would be confined within the exposure zone at that particular time. The exposure zones extend landward from the current-day shoreline (vegetation line) up to the 80% cumulative probability contour from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet, which incorporates the uncertainty (upper and lower bounds) of the IPCC RCP8.5 sea level rise projection. This particular layer depicts coastal erosion using the 2.0-ft (0.5991-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2075, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Assumptions and Limitations: Historical shoreline change data and beach profiles needed to model coastal erosion are available only for sandy shores of Kauai, Oahu, and Maui. Exposure was not modeled for less-erodible rocky coasts and bluffs, though the latter can be prone to sudden failure in some areas. In addition, modeling did not account for: (1) existing seawalls or other coastal armoring in the backshore; (2) increasing wave energy across the fringing reef with sea level rise; (3) possible changes in reef accretion and nearshore sediment processes with sea level rise; and (4) possible changes to sediment supply from future shoreline development and engineering, such as construction or removal of coastal armoring or other coastal engineering. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. Users of these data should cite the following publication: Anderson, T.R., Fletcher, C.H., Barbee, M.M., Frazer, L.N., and B.M. Romine (2015). Doubling of Coastal Erosion Under Rising Sea Level by Mid-Century in Hawaii, Natural Hazards, doi:10.1007/s11069-015-1698-6. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Coastal Erosion - 3.2 Ft. Scenario (63)

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Name: SLR Coastal Erosion - 3.2 Ft. Scenario

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Description: UPDATED - Nov. 2020. Studies of historical shoreline change using aerial photographs and survey maps show that 70% of beaches on Kauai, Oahu, and Maui are eroding (receding landward) (Fletcher et al. 2012). Beaches exist in a delicate balance between existing water levels, wave energy, and sand supply. Coastal erosion modeling was conducted for sandy shorelines of Kauai, Oahu, and Maui by the University of Hawaii Coastal Geology Group. The methods are described in Anderson et al. (2015) and combine historical shoreline change data with a model of beach profile response to sea level rise from Davidson-Arnott (2005) in order to estimate probabilities of future exposure to erosion at transects (shore-perpendicular measurement locations) spaced approximately 20 meters apart along the shoreline. The model accounts for localized alongshore variability in shoreline change by incorporating trends from the historical erosion mapping studies. Historical data used to model coastal erosion consisted of: (1) historical shoreline positions and erosion rates measured from high-resolution (0.5 meters) ortho-rectified aerial photographs and NOAA topographic charts dating back to the early 1900s (Fletcher et al. 2012, Romine et al. 2013), and (2) beach profile field survey data (Gibbs et al. 2001, Fletcher et al. 2012). The vegetation line was identified in the most recent aerial photography dating from 2006 to 2008. The output of the modeling is the estimated exposure zone to future erosion hazards. Based on the model and IPCC AR5 RCP8.5 sea level rise scenario, there is an 80% probability that land impacted by erosion would be confined within the exposure zone at that particular time. The exposure zones extend landward from the current-day shoreline (vegetation line) up to the 80% cumulative probability contour from sea level rise at 0.5, 1.1, 2.0, and 3.2 feet, which incorporates the uncertainty (upper and lower bounds) of the IPCC RCP8.5 sea level rise projection. This particular layer depicts coastal erosion 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. Assumptions and Limitations: Historical shoreline change data and beach profiles needed to model coastal erosion are available only for sandy shores of Kauai, Oahu, and Maui. Exposure was not modeled for less-erodible rocky coasts and bluffs, though the latter can be prone to sudden failure in some areas. In addition, modeling did not account for: (1) existing seawalls or other coastal armoring in the backshore; (2) increasing wave energy across the fringing reef with sea level rise; (3) possible changes in reef accretion and nearshore sediment processes with sea level rise; and (4) possible changes to sediment supply from future shoreline development and engineering, such as construction or removal of coastal armoring or other coastal engineering. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. Users of these data should cite the following publication: Anderson, T.R., Fletcher, C.H., Barbee, M.M., Frazer, L.N., and B.M. Romine (2015). Doubling of Coastal Erosion Under Rising Sea Level by Mid-Century in Hawaii, Natural Hazards, doi:10.1007/s11069-015-1698-6. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Potential Economic Loss - 0.5 Ft. Scenario (64)

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Name: SLR Potential Economic Loss - 0.5 Ft. Scenario

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Description: Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential economic loss was based on the value of the land and structures from the county tax parcel database permanently lost in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts potential economic loss using the 0.5-ft (0.1660-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2030, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Potential economic loss was analyzed individually for each hazard (passive flooding, annual high wave flooding, or coastal erosion) at the parcel level and subsequently aggregated in 1-hectare (100 square meter or 1,076 square foot) grids. For the islands of Hawaii, Lanai, and Molokai, the potential economic loss was based solely on passive flooding. Potential economic loss in the SLR-XA area was determined from the highest loss value of any one hazard within the 1-hectare grid, thus avoiding double counting a loss of a particular asset from multiple hazards. Those maximum values for each sector are then summed to determine the total economic loss to property in each grid. Assumptions and Limitations: The vulnerability assessment addressed exposure to chronic flooding with sea level rise. Key assumptions of the economic analysis for the SLR-XA included: (a) loss is permanent; (b) economic loss is based on the value in U.S. dollars in 2016 as property values in the future are unknown; (c) economic loss is based on the value of the land and structures exposed to flooding in the SLR-XA excluding the contents of the property and does not include the economic loss or cost to replace roads, water conveyance systems and other critical infrastructure; and (d) no adaptation measures are put in place that could reduce impacts in the SLR-XA. Economic value data were not available for length of roads, water and wastewater lines, and other public infrastructure due to the variable cost of such infrastructure depending on location, and the complexity and uncertainty involved in design, siting, and construction. Additionally, environmental assets such as beaches and wetlands were not assessed economically due to the complexity in valuing ecosystem services. The loss of both public infrastructure and environmental assets from flooding would result in significant economic loss. Therefore, the total potential economic loss figures estimated in these data are likely an underestimate. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Potential Economic Loss - 1.1 Ft. Scenario (65)

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Layer: SLR Potential Flooded Highways - 0.5 Ft. Scenario (68)

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Layer: SLR Potential Flooded Highways - 1.1 Ft. Scenario (69)

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Description: Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential impacts to coastal highways and major roads were assessed in terms of exposure to chronic flooding in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts floodway highways and major roads using the 1.1-ft (0.3224-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2050, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

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Layer: SLR Potential Flooded Highways - 2.0 Ft. Scenario (70)

Parent Layer: Sea Level Rise (Zoom in for Best Results)

Name: SLR Potential Flooded Highways - 2.0 Ft. Scenario

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Description: Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential impacts to coastal highways and major roads were assessed in terms of exposure to chronic flooding in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts floodway highways and major roads using the 2.0-ft (0.5991-m) sea level rise scenario. While the RCP8.5 predicts that this scenario would be reached by the year 2075, questions remain around the exact timing of sea level rise and recent observations and projections suggest a sooner arrival. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

Copyright Text: SOEST, UH CGG, PacIOOS

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Layer: SLR Potential Flooded Highways - 3.2 Ft. Scenario (71)

Parent Layer: Sea Level Rise (Zoom in for Best Results)

Name: SLR Potential Flooded Highways - 3.2 Ft. Scenario

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Description: Vulnerability was assessed for the main Hawaiian Islands using the outputs of coastal hazard exposure modeling (provided separately). Potential impacts to coastal highways and major roads were assessed in terms of exposure to chronic flooding in the sea level rise exposure area (SLR-XA) for four future sea level rise scenarios: 0.5 foot, 1.1 foot, 2.0 feet and 3.2 feet based on the upper end of the IPCC AR5 RCP8.5 projections. This particular layer depicts floodway highways and major roads 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. Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at https://pacioos.org/shoreline/slr-hawaii/. For further information, please see the Hawaii Sea Level Rise Vulnerability and Adaptation Report: https://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf

Copyright Text: SOEST, UH CGG, PacIOOS

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