20170605 raster digital data This data layer represents potential flooding from sea level rise (SLR). Flooding was modeled using a modified bathtub approach that assesses inundated areas for hydrologic connectivity. Numerous SLR scenarios were derived using the United States Army Corps of Engineers Sea-Level Change Curve Calculator(2015.46), NOAA tide gauge data, NOAA tidal surfaces (MHHW & MSL), and a 5-meter horizontal resolution Digital Elevation Model (DEM) dataset. SLR scenarios are unique for each county, year, and projection.The following five SLR projection curves were mapped at decadal intervals (2040 - 2100) for MHHW & MSL:- USACE Low/ NOAA Low (C1 or Curve 1)- USACE Intermediate/ NOAA Intermediate Low (C2 or Curve 2)- NOAA Intermediate High (C3 or Curve 3)- USACE High (C4 or Curve 4)- NOAA High (C5 or Curve 5)The Curve number was added by the GeoPlan Center for shorthand notation of the projection curve; the smaller the curve number the lower the SLR projection. Please refer to the Data Lineage section for description of the mapping methods. This data was created by the University of Florida GeoPlan Center for the Florida Department of Transportation to identify approximate areas of flooding under future sea level rise (SLR) scenarios for transportation planning purposes. -87.639389 -79.828760 31.042680 24.494474 ISO 19115 Topic Categories environment oceans planningCadastre transportation None sea level rise SLR flooding None These data are not to be used for parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.edu University of Florida GeoPlan Center Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686 Mean sea level trends for ten Florida tide stations were acquired from NOAA's Tides and Currents website (https://tidesandcurrents.noaa.gov/sltrends/sltrends.html) in February 2017: Tide Station, Station ID, Mean Sea Level Trend (NOAA 2015) - mm/yr Fernandina Beach, 8720030, 2.08 Daytona Beach Shores, 8721120, 2.32 Key West, 8724580, 2.37 Naples, 8725110, 2.65 Fort Myers, 8725520, 2.85 St. Petersburg, 8726520, 2.66 Cedar Key, 8727520, 1.97 Apalachicola, 8728690, 1.96 Panama City, 8729108, 1.92 Pensacola, 8729840, 2.25 Mean sea level trends were converted from millimeters (mm) to feet and then used in the United States Army Corps of Engineers Sea-Level Change Curve Calculator(2015.46) to generate relative sea level rise values (in feet) by decade (2040 - 2100). SLR was mapped by county. Each county was assigned a tide station and corresponding mean sea level trend for SLR mapping (see below). Relative SLR values were added to tidal grids (obtained from NOAA CO-OPs). Resulting flood surfaces were evaluated against a Digital Elevation Model (DEM). The DEM was mosaciked together using the best available elevation data, including Lidar-based DEMs for much of the State. Output layers showing inundated were then evaluated for hydrologic connectivity to remove isolated inland areas not connected to water. Tide Station Assignments - by County: County,Tide Station Bay,Panama City Brevard,Daytona Beach Shores Broward,Key West Charlotte,Fort Myers Citrus,Cedar Key Clay,Fernandina Beach Collier,Naples Dixie,Cedar Key Duval,Fernandina Beach Escambia,Pensacola Flagler,Daytona Beach Shores Franklin,Apalachicola Gulf,Apalachicola Hernando,Cedar Key Hillsborough,St. Petersburg Indian River,Key West Jefferson,Apalachicola Lee,Fort Myers Levy,Cedar Key Manatee,St. Petersburg Martin,Key West Miami-Dade,Key West Monroe,Key West Nassau,Fernandina Beach Okaloosa,Pensacola Palm Beach,Key West Pasco,St. Petersburg Pinellas,St. Petersburg Santa Rosa,Pensacola Sarasota,St. Petersburg St. Johns,Fernandina Beach St. Lucie,Key West Taylor,Cedar Key Volusia,Daytona Beach Shores Wakulla,Apalachicola Walton,Pensacola Raster Grid Cell NAD 1983 HARN Florida GDL Albers 24.0 31.5 -84.0 24.0 400000.0 0.0 coordinate pair 0.000000004429812072714868 0.000000004429812072714868 meter D North American 1983 HARN GRS 1980 6378137.0 298.257222101 VAT_COUNTY_YEAR_CURVE_MHHW_D SLR table UF GeoPlan Center OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. Value Depth of flooding (inches) UF GeoPlan Center 1 Flooded/ inundated UF GeoPlan Center Count Number of cells with associated flooding depth under this SLR scenario. UF GeoPlan Center SLR_SCENARIO 20171020 GeoPlan Center University of Florida FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time These data are not to be used for parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.edu