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OAS accession Detail for 0248802, meta_version: 2. Current meta_version is: 2
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Title: NOAA RESTORE Science Program: A Web-based Interactive Decision-Support Tool for Adaptation of Coastal Urban and Natural Ecosystems (ACUNE) in Southwest Florida: Flood Maps for current conditions, 2030, 2060, and 2100 under different sea level rise scenarios (NCEI Accession 0248802)
Abstract: This dataset contains probabilistic (return-period based) flood maps from storm surge, tide and waves. The maps were produced by the Joint Probability Method with Optimal Spacing (JPM-OS) statistical procedure using the model data produced by a coupled CH3D/SWAN storm surge modeling system. The maps correspond to a 1% annual probability of exceedance (100-year return period). Sea level rise (SLR) conditions are based on NOAA predictions for Naples, FL. The SLR for 2020 is set to be at 0.32 ft. All SLR values are relative to the year 2000. Scenarios: 2030 Low (0.39 ft SLR), 2030 Medium (0.72 ft SLR), 2030 High (1.15 ft SLR); 2060 Low (0.82 ft SLR), 2060 Medium (1.77 ft SLR), 2060 High (3.38 ft SLR); 2100 Low (1.28 ft SLR), 2100 Medium (3.77 ft SLR), 2100 High (8.36 ft SLR).
Date received: 20220208
Start date: 20200101
End date: 21000101
Seanames:
West boundary: -81.94
East boundary: -81.65
North boundary: 26.57
South boundary: 25.61
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Submitter:
Submitting institution: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science
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Number of observations:
Supplementary information: Submission Package ID: MBN5UG

Methods: Joint Probability Method with Optimal Sampling (JPM-OS) detailed in Yang et al. (2019) was used with the data from the HURDAT2 database (Jarvinen et al., 1984) for the current climate and the storms for 2020-2040 and 2080-2100 predicted by the global atmospheric model FSUGAM (LaRow et al. 2008, LaRow 2013) and a downscaled regional climate model WRF (Liu and Xie 2012) corresponding to RCP 4.5 and 8.5 IPCC (2013) scenarios. Predicted storms for 2060 are based on averaging the 2030 and 2100 storm characteristics. CH3D/SWAN coupled model was used to create an optimal ensemble which was then processed by the JPM-OS algorithm to generate the probabilistic flood maps with 1% annual exceedance probability. Tides were included as one of the dimensions in the JPM-OS process.

File Information: Total File Size: 12.3 GB total, 326 files in 2 folders (unzipped), 9.30 GB (zipped) Data File Compression: no compression Data File Format(s): • GeoTiff .TIF (and ancillary files .TIF.AUX.XML, .VAT.CPG, .VAT.DBF) • GDB (ESRI Geospatial Database) (.gdb) GIS Projection: WGS_1984_UTM_Zone_17N (EPSG 32617) Data Files: • Flood maps, GeoTIF raster files: o flood_C2020_10AEP_None032SLR.TIF o flood_F2030_10AEP_High115SLR.TIF o flood_F2030_10AEP_Low039SLR.TIF o flood_F2030_10AEP_Med072SLR.TIF o flood_F2060_10AEP_High338SLR.TIF o flood_F2060_10AEP_Low082SLR.TIF o flood_F2060_10AEP_Med177SLR.TIF o flood_F2100_10AEP_High836SLR.TIF o flood_F2100_10AEP_Low128SLR.TIF o flood_F2100_10AEP_Med377SLR.TIF • Flood maps, floodmaps.GDB geodatabase containing the following rasters: Raster name SLR, ft flood_C2020_10AEP_None032SLR 0.32 flood_F2030_10AEP_High115SLR 1.15 flood_F2030_10AEP_Low039SLR 0.39 flood_F2030_10AEP_Med072SLR 0.72 flood_F2060_10AEP_High338SLR 3.38 flood_F2060_10AEP_Low082SLR 0.82 flood_F2060_10AEP_Med177SLR 1.77 flood_F2100_10AEP_High836SLR 8.36 flood_F2100_10AEP_Low128SLR 1.28 flood_F2100_10AEP_Med377SLR 3.77 Documentation Files: • DataDocumentation.pdf • BrowseGraphic.jpg
Availability date:
Metadata version: 2
Keydate: 2022-02-25 21:30:29+00
Editdate: 2022-03-10 17:16:30+00