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State-wide GIS dataset approximating the location and depths of Highest A<\/span>stronomical<\/span>Tide along the Maine coastline<\/span>, in addition to potential sea level rise scenarios of 1.1, 1.6, 3.9, 6.1, 8.8, and 10.9 feet on top of the Highest Astronomical Tide. All data is referenced to NAD83 UTM Zone 19 North, meters, and any elevations in NAVD88, feet (GEOID12B).<\/span><\/p>

Highest Astronomical Tide predictions were taken from NOAA CO-OPs tidal stations \"datums\" sheets as the Highest Observed Tide (Max Tide), as data was available for stations with calculated Harmonics. At stations where observed data was not available, the Highest Astronomical Tide was predicted by using the Highest Astronomical Tide from nearby reference stations and the prescribed tidal offset values for high tides.<\/span><\/p>

Sea level rise (SLR) scenarios were determined using averaged values for low, low-intermediate, intermediate, intermiediate-high, high, and extreme scenarios (NOAA, 2017) for the Portland, Bar Harbor, and Eastport tide gauges. The US Army Corps of Engineers Sea Level Rise Curve Calculator was used to extract averaged values for the 50% confidence interval of these scenarios for the different tide gauges. The averaged scenario values include: 1.2, 1.6, 3.9, 6.1, 8.8, and 10.9 feet.<\/span><\/p>

Highest Astronomical Tide inundation data (and subsequent SLR inundation data) <\/span>was created using outputs from a python-based tool developed by the Maine Geological Survey which adjusts Highest Astronomical Tide predictions from <\/span>available <\/span>NOAA CO-OPs tidal stations along the <\/span>Maine <\/span>coastline using NOAA's VDATUM<\/span>tool<\/span>. <\/span>VDATUM allows for conversion from MLLW tidal prediction elevations to NAVD88 elevations. Bare-earth Light Detection and Ranging (LiDAR) digital elevation models (or DEMs) of Maine\u2019s coastal zone areas (2006, 2010, and 2011) were also used as part of the analysis. See process steps for more information on data development.<\/span><\/p><\/div><\/div><\/div>", "name": "mgs/SLR_SS_HAT_2018_Depths", "description": "

State-wide GIS dataset approximating the location and depths of Highest A<\/span>stronomical<\/span>Tide along the Maine coastline<\/span>, in addition to potential sea level rise scenarios of 1.1, 1.6, 3.9, 6.1, 8.8, and 10.9 feet on top of the Highest Astronomical Tide. All data is referenced to NAD83 UTM Zone 19 North, meters, and any elevations in NAVD88, feet (GEOID12B).<\/span><\/p>

Highest Astronomical Tide predictions were taken from NOAA CO-OPs tidal stations \"datums\" sheets as the Highest Observed Tide (Max Tide), as data was available for stations with calculated Harmonics. At stations where observed data was not available, the Highest Astronomical Tide was predicted by using the Highest Astronomical Tide from nearby reference stations and the prescribed tidal offset values for high tides.<\/span><\/p>

Sea level rise (SLR) scenarios were determined using averaged values for low, low-intermediate, intermediate, intermiediate-high, high, and extreme scenarios (NOAA, 2017) for the Portland, Bar Harbor, and Eastport tide gauges. The US Army Corps of Engineers Sea Level Rise Curve Calculator was used to extract averaged values for the 50% confidence interval of these scenarios for the different tide gauges. The averaged scenario values include: 1.2, 1.6, 3.9, 6.1, 8.8, and 10.9 feet.<\/span><\/p>

Highest Astronomical Tide inundation data (and subsequent SLR inundation data) <\/span>was created using outputs from a python-based tool developed by the Maine Geological Survey which adjusts Highest Astronomical Tide predictions from <\/span>available <\/span>NOAA CO-OPs tidal stations along the <\/span>Maine <\/span>coastline using NOAA's VDATUM<\/span>tool<\/span>. <\/span>VDATUM allows for conversion from MLLW tidal prediction elevations to NAVD88 elevations. Bare-earth Light Detection and Ranging (LiDAR) digital elevation models (or DEMs) of Maine\u2019s coastal zone areas (2006, 2010, and 2011) were also used as part of the analysis. See process steps for more information on data development.<\/span><\/p><\/div><\/div><\/div>", "extent": { "xmin": 350014.34439999994, "ymin": 4756533.629, "xmax": 663508.3444, "ymax": 5006305.629, "spatialReference": { "wkid": 26919, "latestWkid": 26919 } }, "initialExtent": { "xmin": 350014.34439999994, "ymin": 4756533.629, "xmax": 663508.3444, "ymax": 5006305.629, "spatialReference": { "wkid": 26919, "latestWkid": 26919 } }, "fullExtent": { "xmin": 350014.34439999994, "ymin": 4756533.629, "xmax": 663508.3444, "ymax": 5006305.629, "spatialReference": { "wkid": 26919, "latestWkid": 26919 } }, "pixelSizeX": 1, "pixelSizeY": 1, "bandCount": 1, "pixelType": "F32", "minPixelSize": 0, "maxPixelSize": 0, "copyrightText": "P. A. Slovinsky, S. Rickerich, and C. H. Halsted of the Maine Geological Survey. This data was prepared by the Maine Geological Survey under award MANCZM2017 to the Maine Coastal Program from the Office for Coastal Management, National Oceanic and Atmospheric Administration, US Department of Commerce. 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