20180206 17523900 1.0 FGDC CSDGM Metadata FALSE slr_exposure_area_3_pt_2_ft file://\\dbedt.net\data$\Divisions\OP\GIS\00_New Data to clean and load\00_201903xx - Update 26\Metadata\SLR\slr_exposure_area_3_pt_2_ft.shp Local Area Network 418662.319400 940278.976200 2094192.630000 2458612.452300 1 002 0.000 Projected GCS_North_American_1983_HARN Linear Unit: Meter (1.000000) NAD_1983_HARN_UTM_Zone_4N <ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>PROJCS[&quot;NAD_1983_HARN_UTM_Zone_4N&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Transverse_Mercator&quot;],PARAMETER[&quot;False_Easting&quot;,500000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-159.0],PARAMETER[&quot;Scale_Factor&quot;,0.9996],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3750]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</YOrigin><XYScale>450445547.3910538</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102202</WKID><LatestWKID>3750</LatestWKID></ProjectedCoordinateSystem> 20190319 10303400 20190319 10303400 150000000 5000 FGDC slr_exposure_area_3_pt_2_ft Feature Class 0 FID FID OID 4 0 0 Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Shape Shape Geometry 0 0 0 Feature geometry. Esri Coordinates defining the features. ID ID Integer 10 10 0 Shape_Leng Shape_Leng Double 19 0 0 Shape_Area Shape_Area Double 19 0 0 Area of feature in internal units squared. Esri Positive real numbers that are automatically generated. Catherine Courtney Tetra Tech, Inc. Unknown kitty.courtney@tetratech.com 20190319 ArcGIS Metadata 1.0 Pacific Islands Ocean Observing System (PacIOOS) Unknown info@pacioos.org None specified GeoServer This URL provides access to this dataset via GeoServer, which offers multiple output formats and an OpenLayers viewer. Open Geospatial Consortium Web Map Service (WMS) Open Geospatial Consortium Web Feature Service (WFS) Open Geospatial Consortium Web Map Service - Cached (WMS-C) GeoExplorer This URL provides a viewer for this dataset. Hawaii Sea Level Rise Viewer This URL provides a viewer for this dataset. Hawaii Sea Level Rise Vulnerability and Adaptation Report This dataset was created in support of the Hawaii Sea Level Rise Vulnerability and Adaptation Report (2017). http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_tt_all_slrxa_2100/ows?service=WMS&version=1.3.0&request=GetCapabilities http://pacioos.org/shoreline/slr-hawaii/ http://climateadaptation.hawaii.gov/wp-content/uploads/2017/12/SLR-Report_Dec2017.pdf http://geo.pacioos.hawaii.edu/geoserver/ http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/gwc/service/wms?service=WMS&version=1.1.1&request=GetCapabilities&tiled=true http://geo.pacioos.hawaii.edu/geoexplorer/ http://geo.pacioos.hawaii.edu/geoserver/PACIOOS/hi_tt_all_slrxa_2100/ows?service=WFS&version=1.0.0&request=GetCapabilities Shapefile 0.000 Sea Level Rise 3_2ft 2017-12-21 Catherine Courtney University of Hawaii Coastal Geology Group (CGG) Charles Fletcher Tetra Tech, Inc. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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. </SPAN><SPAN><SPAN>Data compiled by the Pacific Islands Ocean Observing System (PacIOOS) for the Hawaii Sea Level Rise Viewer hosted at </SPAN></SPAN><A href="http://pacioos.org/shoreline/slr-hawaii/"><SPAN><SPAN>http://pacioos.org/shoreline/slr-hawaii/</SPAN></SPAN></A><SPAN>. 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</SPAN></P></DIV></DIV></DIV> Source: http://files.hawaii.gov/dbedt/op/gis/data/slr_exposure_area_all.shp.zip Estimated extent of chronic flooding due to multiple coastal hazards, modeled using a 3.2 foot sea level rise scenario. Catherine Courtney Tetra Tech, Inc. Unknown kitty.courtney@tetratech.com http://pacioos.org/metadata/browse/hi_tt_all_slrxa_2100.png Sample image. PNG GCMD Location Keywords Continent > North America > United States Of America > Hawaii Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands GCMD Science Keywords Earth Science > Oceans > Ocean Waves > Wave Runup Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Level Rise > Inundation Earth Science > Human Dimensions > Environmental Impacts Earth Science > Oceans > Coastal Processes > Shoreline Displacement Earth Science > Oceans > Coastal Processes > Sea Level Rise Earth Science > Oceans > Coastal Processes > Shorelines Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Level Rise > Erosion Earth Science > Solid Earth > Geomorphic Landforms/Processes > Coastal Landforms > Beaches Earth Science > Oceans > Coastal Processes > Beaches Earth Science > Oceans > Coastal Processes > Erosion Earth Science > Solid Earth > Gemorphic Landforms/Processes > Coastal Landforms > Shorelines Earth Science > Human Dimensions > Natural Hazards > Floods Earth Science > Oceans > Ocean Waves > Wave Runup Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Level Rise > Inundation Earth Science > Human Dimensions > Environmental Impacts Continent > North America > United States Of America > Hawaii Earth Science > Oceans > Coastal Processes > Shoreline Displacement Earth Science > Oceans > Coastal Processes > Sea Level Rise Earth Science > Oceans > Coastal Processes > Shorelines Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Level Rise > Erosion Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands Earth Science > Solid Earth > Geomorphic Landforms/Processes > Coastal Landforms > Beaches Earth Science > Oceans > Coastal Processes > Beaches Earth Science > Oceans > Coastal Processes > Erosion Earth Science > Solid Earth > Gemorphic Landforms/Processes > Coastal Landforms > Shorelines Earth Science > Human Dimensions > Natural Hazards > Floods Unknown <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Based on the methodology of sea level rise modeling used in the Hawaii Sea Level Rise Vulnerability and Adaptation Report (Report) and the Hawaii Sea Level Rise Viewer (Viewer), having gone through peer review and publication in the Nature Journal Scientific Reports, the results of this study are sufficiently validated to be appropriately used in land management decisions as the best available information as of the date of publication of the Report, December 2017, consistent with the intent of Act 83 SLH 2014 as amended. This Report is intended to provide a state-wide assessment of Hawaii's vulnerability to sea level rise. The location of projected impacts and economic costs from damages are estimates based on a particular sea level rise scenario. The hazard and vulnerability data and maps provided herein are based on observational data and computer-based models as described in the Report and in published research (Anderson et al., 2018). As with all models, it is important to understand the methods, assumptions, limitations, and uncertainties of the methods used. The risks associated with use or non-use of the results are assumed by the user.</SPAN></P></DIV></DIV></DIV> -159.788135633668 -154.806624468948 18.9102946263276 22.2324600041155 Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270 1 -159.789264 -154.732117 22.232957 18.893005 SOEST, UH CGG, PacIOOS, Tetra Tech, Inc. dataset EPSG 6.13(10.0.0) 0 Simple FALSE 0 FALSE FALSE /9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a HBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIy MjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA AwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSEx 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