The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the State Plane Coordinate System. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

The profile polyline feature class was created based upon the separate NJ State Flood Study’s mostly 11x17 inch profiles. The feature class segments approximate the extent of each 11x17 inch profile. The NJ State Flood Study combined plans and profiles were intentionally not captured in this feature class.

The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

The NOAA Coastal Services Center, in partnership with FEMA and USACE, has created a set of map services and related tools to provide guidance to communities, residents, and other stakeholders for considering risks from future sea level rise in planning for reconstruction following Hurricane Sandy. Even if current storm patterns remain the same in the future, sea level rise will increase the impact of coastal flooding during storms. We have resources that help us quantify current risk, such as FEMA’s new Advisory Base Flood Elevation (ABFE) maps for affected areas of New York and New Jersey, but these do not provide information on future risks or help decision makers remain flexible and adaptive in the face of environmental change.The map services provided here integrate FEMA's new ABFE maps with four scenarios of sea level rise (referred to as lowest, intermediate-low, intermediate-high, and highest). These scenarios provide estimates of global sea level rise by the year 2100 based on the best available science synthesized by a panel of scientists from multiple federal agencies and academic institutions to provide to the U.S. National Climate Assessment. A detailed explanation of the scenarios is published in an interagency report titled “Global Sea Level Rise Scenarios for the United States National Climate Assessment” (Parris et al, 2012). These four scenarios address different factors known to affect future sea level rise risk, including ocean warming and melting of mountain glaciers and ice sheets. For the New York City portion of the map, the map services integrate FEMA's new ABFE maps with more detailed regional scenarios developed by the New York Panel on Climate Change (NPCC). The NPCC scenarios and are based on similar global sea level rise assumptions as the four global scenarios described above. Collectively, this integrated set of products can help decision makers plan for the future risks posed by sea level rise.

The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

NOAA, in partnership with FEMA, USACE, USGCRP, and CEQ has created a set of map services and related tools to help communities, residents, and other stakeholders consider risks from future sea level rise in planning for reconstruction following Hurricane Sandy. Even if current storm patterns remain the same in the future, sea level rise will increase the impact of coastal flooding during storms. We have resources that help us quantify current risk, such as FEMA’s Most Recent Flood Hazard Data for affected areas of New York and New Jersey, but these do not provide information on future risks. For these New York City maps, the map services integrate FEMA's most recent (SFHA) with regional scenarios of sea level rise developed developed by the New York Panel on Climate Change (NPCC). The NPCC 2013 scenarios and are based on similar global sea level rise assumptions as the NOAA 2012 scenarios. Collectively, this integrated set of products can help decision makers plan for the future risks posed by sea level rise remain flexible and adaptive in the face of environmental change.

Estimation of Future Percent Flooding within Urban Areas per Census Block Group for the New Jersey Environmental Justice Mapping Tool. Estimates represents a potential scenario of urban flood conditions due to climate change projections (2020 New Jersey Scientific Report on Climate Change, Chapter 4.3 Sea – Level Rise). This layer was developed by combining 1) Tidal Climate Adjusted Flood Elevation for New Jersey (approximate delineation of additional 5 foot flood water height added to the FEMA coastal Special Flood Hazard Area 12/01/2013 to 12/31/2016) with 2) the inland FEMA Statewide Combined Flood Hazard Maps (1% (100-Year)/ 0.2% (500-Year) Flood Hazard Areas 2019). This Statewide Future Flood Hazard Areas were than clipped to Urban Areas (2015) with Census Block Group (2019) ID attribute added.

Digital flood-inundation maps for coastal communities within Ocean County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for an approximate 7.5-mile reach of the Peckman River in New Jersey, which extends from Verona Lake Dam in the Township of Verona downstream through the Township of Cedar Grove and the Township of Little Falls to the confluence with the Passaic River in the Borough of Woodland Park, were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/ depict estimates of the probable areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Peckman River at Ozone Avenue at Verona, New Jersey (station number 01389534). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/. Flood profiles were simulated for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relations at USGS streamgages on the Peckman River at Ozone Avenue at erona, New Jersey (station number 01389534) and the Peckman River at Little Falls, New Jersey, station number 01389550. The hydraulic model was then used to compute eight water-surface profiles for flood stages at 0.5-foot (ft) intervals ranging from 3.0 ft or near bankfull to 6.5 ft, which is approximately the highest recorded water level during the period of record (1979–2014) at USGS streamgage 01389534, Peckman River at Ozone Avenue at Verona, New Jersey. The simulated water-surface profiles were then combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data to delineate the area flooded at each water level. The availability of these maps along with Internet information regarding current stage from the USGS streamgage provides emergency management personnel and residents with information, such as estimates of inundation extents, based on water stage, that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.

Digital flood-inundation maps for coastal communities within Bergen, Hudson, Essex, and Passaic Counties in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for coastal communities within Atlantic County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for coastal communities within Monmouth County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for an approximately 295-mile length of the New Jersey coastline and tidewaters through 10-coastal counties stretching from Cumberland County through Bergen County; including Cumberland, Cape May, Atlantic, Ocean, Monmouth, Middlesex, Union, Essex, Hudson, and Bergen counties were created by the U.S Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP) and New Jersey Office of Emergency Management (NJOEM). The flood-inundation maps depict extent and depth estimates of coastal flooding corresponding to selected tidal elevations recorded by 25 real-time USGS tide gages located throughout the length of the study area coastline. The flood-inundation maps can be accessed through the U.S Geological Survey Flood Decision Support Toolbox (FDST) Web site (U.S. Geological Survey, 2022). The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. Reference cited: U.S. Geological Survey, 2022, InFRM Flood Decision Support Toolbox: U.S. Geological Survey Interagency Flood Risk Management web interface: accessed Jan 4, 2022 at http://webapps.usgs.gov/infrm/fdst.

Hurricane Sandy directly hit the Atlantic shoreline of New Jersey during several astronomical high tide cycles in late October, 2012. The eastern seaboard areas are subject to sea level rise and increased severity and frequency of storm events, prompting habitat and land use planning changes. Wetland Aquatic Research Center (WARC) has conducted detailed mapping of marine and estuarine wetlands and deepwater habitats, including beaches and tide flats, and upland land use/land cover, using specially-acquired aerial imagery flown at 1-meter resolution.These efforts will assist the U.S. Fish and Wildlife Service (USFWS) continuing endeavors to map the barrier islands adhering to Coastal Barrier Resources Act (CBRA) guidelines. Mapped areas consist of selected federal lands including, National Park Service areas, USFWS National Wildlife Refuges, and selected CBRA Units, including barrier islands and marshes in New York and New Jersey. These vital wetland areas are important for migratory waterfowl and neotropical bird habitats, wildlife food chain support and nurseries for shellfish and finfish populations. Coastal wetlands also play an important function as storm surge buffers. This project includes mapping of dominant estuarine wetland plant species useful for wetland functional analysis and wildlife evaluation and management concerns. It also aims to integrate with and offer updated databases pertinent to: USFWS NWR and NWI programs, NOAA tide flats and beaches data, FEMA flood zone data, Natural Heritage Endangered and Threated Species, watershed management, and state and local land use planning.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

High Water Marks and USGS Depth Gauge information for the maximum depth of water for locations across New Jersey after Hurricane Irene. Important columns are: Standard measures: Latitude, Longitude, Flood Elevation. From the Oakridge HAND dataset: DEM elevation, HAND elevation, Catchment Common ID (COMID), Derived and added information: Inundation depth at that location, total estimated stream depth, notes for data cleaning and errors, maximum flow from the National Water model during Irene, calibrated Manning's Roughness Values, the predicted stream depth from the calibrated roughness, and RMSE between estimated stream depth and calibrated stream depth.

Digital flood-inundation maps for coastal communities within Atlantic County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall _location or closest approach _location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Digital flood-inundation maps for coastal communities within Cumberland County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall _location or closest approach _location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. The contents of this data release support the following publication: Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005. The landing page on which this and 24 other storm scenarios reside is: Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8. References cited: Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/