Description: Polygons uniquely based on “dynamic” water flow modeling that combines tides, storm surges, sea level rise, and tributary freshwater inputs to the Hudson (Orton et al., 2018; Orton et al., 2016). The flood zones for 100-year storm events are created using statistical analysis of data for a set of 881 storms representative of the various types of storms that could strike the region. The dynamic model is the same one that is used for the New York Harbor Observing and Prediction System (NYHOPS; http://stevens.edu/nyhops).
Description: Projected future 1% annual chance (100 Year) floodplains for the 2100s. Projections are based on the on the 90th percentile projections released by the New York City Panel on Climate Change in 2015. For more information on the method used to create these projections see the 2015 NPCC Report.Data access:M:\GIS\DATA\Waterfront\Flood Hazard\Projected_Future_Floodplains
Copyright Text: New York City Panel on Climate Change, 2015
Description: Vector polygons of the 10%, 2%, 1% and 0.2% annual-chance flood frequencies, also known as the 10-, 50-, 100- and 500-year flood return intervals. Sourced from geospatial modeling of the Water Surface Elevation Models against the study Topographic Elevation Models. Coverages were post-processed to remove processing artifacts and to smooth boundary edges. Disconnected areas shown as flooded in the raw output were retained or removed as deemed reasonable by a visual hydraulic connectivity analysis using topography and aerial photography. A separate coverage was created for each SLR scenario and flood frequency, which can be identified from the coverage name, formatted as XXX_YY_ZZZ, where XXX is the geographic area, YY is the SLR scenario in inches, and ZZZ is the flood frequency.
Description: Vector polygons of the 10%, 2%, 1% and 0.2% annual-chance flood frequencies, also known as the 10-, 50-, 100- and 500-year flood return intervals. Sourced from geospatial modeling of the Water Surface Elevation Models against the study Topographic Elevation Models. Coverages were post-processed to remove processing artifacts and to smooth boundary edges. Disconnected areas shown as flooded in the raw output were retained or removed as deemed reasonable by a visual hydraulic connectivity analysis using topography and aerial photography. A separate coverage was created for each SLR scenario and flood frequency, which can be identified from the coverage name, formatted as XXX_YY_ZZZ, where XXX is the geographic area, YY is the SLR scenario in inches, and ZZZ is the flood frequency.