Area of potential coastal and riverine flooding in Boston under various sea level rise scenarios (9-inch in 2030s, 21-inch in 2050s, and 36-inch in 2070s) at high tide and in the event of storms with an annual exceedance probability (AEP) of 10 and 1 percent.Learn more about the projections from Climate Ready Boston’s Projections Consensus and data methodology in Climate Ready Boston’s Vulnerability Assessment. Source: Coastal flood hazard data created as part of Climate Ready Boston are a reanalysis of the coastal flood hazard data developed as part of the MassDOT-FHWA analysis. In 2015, MassDOT released an analysis of coastal flood hazards using state-of-the-art numerical models capable of simulating thousands of potential nor’easters and tropical storms coincident with a range of tide levels, riverine flow rates in the Charles and Mystic Rivers, and sea level rise conditions.Definitions:9-inch Sea Level Rise: By the end of the 2050s, 9 inches of sea level rise is expected consistently across emissions scenarios and is likely to occur as early as the 2030s. 9” Climate scenario and coastal/riverine hazard flooding data are the MassDOT-FHWA high sea level rise scenario for 2030. Actual sea level rise value is 0.62 feet above 2013 tide levels, with an additional 0.74 inches to account for subsidence.21-inch Sea Level Rise: In the second half of the century, 21 inches is expected across all emissions scenarios. 21” Data were interpolated from the MassDOT-FHWA 2030 and 2070/2100 data.36-inch Sea Level Rise: The highest sea level rise considered, 36 inches, is highly probable toward the end of the century. This scenario has a greater than 50 percent chance of occurring within this time period for the moderate emissions reduction and business-as-usual scenarios and a nearly 50 percent chance for the major emissions reduction scenario. 36” Climate scenario and coastal/riverine hazard fooding data are the MassDOT-FHWA high sea level rise scenario for 2070/intermediate sea level rise scenario for 2100. Actual sea level rise value is 3.2 feet above 2013 tide levels, with an additional 2.5 inches to account for subsidence.High Tide: Average monthly high tide is approximately two feet higher than the commonly used mean higher high water (MHHW, the average of the higher high water levels of each tidal day), and lower than king tides (the twice-a year high tides that occur when the gravitational pulls of the sun and the moon are aligned).10% Annual Flood: A “10 percent annual chance flood” is a flood event that has a 1 in 10 chance of occurring in any given year. Another name for this flood, which is the primary coastal flood hazard delineated in FEMA FIRMs, is the “10-year flood.”1% Annual Flood: A “1 percent annual chance flood” is a flood event that has a 1 in 100 chance of occurring in any given year. Another name for this flood, which is the primary coastal flood hazard delineated in FEMA FIRMs, is the “100-year flood.”

The Massachusetts Office of Coastal Zone Management (CZM) extracted a subset of the National Oceanic and Atmospheric Administration (NOAA) Office for Coastal Management's sea level rise inundation dataset for use in the CZM Sea Level Rise and Coastal Flooding Viewer. These data are derived from a static “bathtub” model that does not account for storm surge, waves, erosion, and other dynamic factors.NOAA created the dataset for use in their own online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of their mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. NOAA's Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr/.NOAA's data depict the potential inundation of coastal areas resulting from a projected 1 to 10 feet rise in sea level above current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988). The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise.See NOAA's detailed methodology for producing these data.MassGIS downloaded all data from https://coast.noaa.gov/slrdata/ and combined the separate inundation polygon feature classes into one feature class that contains no overlap for Massachusetts. CZM downloaded the combined feature class from MassGIS, then extracted a subset of sea level rise scenarios (1-6 feet) for use in the CZM Sea Level Rise and Coastal Flooding Viewer.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Massachusetts digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for Barnstable, Bristol, Dukes, Essex, Middlesex, Nantucket, Plymouth, Suffolk, and Norfolk Counties. The DEM was produced from the following lidar data sets: 1. 2013 - 2014 USGS Hurricane Sandy Supplemental for NE (RI, MA, NH) 2. 2011 USGS ARRA Lidar for the Northeast: Massachusetts The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Coastal Risk Screening Tool: Map By YearThe year map allows users to explore coastal flood risk and sea level rise projections by decadal year for anywhere in the world, and under multiple pollution scenarios. The map allows users to choose between the leading sea level rise models and incorporate the most accurate elevation data available.

Future sea level projections are provided for the Massachusetts coastline at established tide gauge stations with long-term records at Boston Harbor, MA; Nantucket, MA; Woods Hole, MA; and Newport, RI. The projections shown in this map layer are adjusted to each station’s mean sea level and converted to the North American Vertical Datum of 1988 (NAVD88).

The analysis for Massachusetts (DeConto and Kopp, 2017) consisted of a probabilistic assessment of future relative sea level rise at each tide gauge location given two future atmospheric greenhouse gas concentration pathways, medium (RCP4.5) and high (RCP8.5), and for two methods of accounting for Antarctic ice sheet contributions to sea level rise: one based on expert elicitation (Kopp, 2014) and one where Antarctic ice sheet projections are driven by new, process-based numerical ice sheet model simulations (DeConto and Pollard, 2016; Kopp, 2017). A multi-year reference time period for relative sea level was used to minimize biases caused by tidal, seasonal, and inter-annual climate variability, following the accepted practice of using a 19-year tidal datum epoch centered on the year 2000 as the ‘zero’ reference for changes in relative sea level rise. To account for the ‘zero’ reference point utilized for the models and to provide elevations on a common geodetic datum, sea level rise model projection values at each tidal station were adjusted to the station’s mean sea level as computed for the 19 year tidal datum epoch of 1999-2017 and converted to NAVD88.

Following the approach in the 2017 National Climate Assessment and the National Oceanic and Atmospheric Administration’s Global and Regional Sea Level Rise Scenarios for the United States, conditional probability distributions for sea level rise projections can be integrated into different scenarios to support planning and decision-making, given uncertainty and future risks. This approach allows for the many different probabilistic projections (i.e., two models each using two greenhouse gas concentration pathways for multiple time series and several probabilities groups) to be filtered into four scenarios. Under this approach, each of the scenarios—Intermediate, Intermediate-High, High, and Extreme—is cross-walked with two or three probabilistic model outputs

On their own, while they are not site-specific projections of mean higher high water levels, these projections provide insight to overall trends in rising sea levels along the Commonwealth coastline, to help coastal municipal officials and workshop participants identify future hazards exacerbated by rising seas.

(For definitions of scenarios and projections shown in this map please reference the section on sea level rise beginning on page 11 of this 2018 report.)

*Please Note that the MA temperature and precipitation projections in this 2018 report have been superseded by those sourced from Cornell University and featured in this map viewer and the Climate Projections Dashboard: Massachusetts Climate and Hydrologic Risk Project (Phase 1) – Stochastic Weather Generator Climate Projections Dataset

'''DEFINITION'''

The sea level ocean monitoring indicator has been presented in the Copernicus Ocean State Report #8. The sea level ocean monitoring indicator is derived from the DUACS delayed-time (DT-2024 version, “my” (multi-year) dataset used when available, “myint” (multi-year interim) used after) sea level anomaly maps from satellite altimetry based on a stable number of altimeters (two) in the satellite constellation. The product is distributed by the Copernicus Climate Change Service and the Copernicus Marine Service (SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057). At each grid point, the trends/accelerations are estimated on the time series corrected from regional GIA correction (GIA map of a 27 ensemble model following Spada et Melini, 2019) and adjusted from annual and semi-annual signals. Regional uncertainties on the trends estimates can be found in Prandi et al., 2021.

'''CONTEXT'''

Change in mean sea level is an essential indicator of our evolving climate, as it reflects both the thermal expansion of the ocean in response to its warming and the increase in ocean mass due to the melting of ice sheets and glaciers(WCRP Global Sea Level Budget Group, 2018). According to the IPCC 6th assessment report (IPCC WGI, 2021), global mean sea level (GMSL) increased by 0.20 [0.15 to 0.25] m over the period 1901 to 2018 with a rate of rise that has accelerated since the 1960s to 3.7 [3.2 to 4.2] mm/yr for the period 2006–2018. Human activity was very likely the main driver of observed GMSL rise since 1970 (IPCC WGII, 2021). The weight of the different contributions evolves with time and in the recent decades the mass change has increased, contributing to the on-going acceleration of the GMSL trend (IPCC, 2022a; Legeais et al., 2020; Horwath et al., 2022). At regional scale, sea level does not change homogenously, and regional sea level change is also influenced by various other processes, with different spatial and temporal scales, such as local ocean dynamic, atmospheric forcing, Earth gravity and vertical land motion changes (IPCC WGI, 2021). The adverse effects of floods, storms and tropical cyclones, and the resulting losses and damage, have increased as a result of rising sea levels, increasing people and infrastructure vulnerability and food security risks, particularly in low-lying areas and island states (IPCC, 2019, 2022b). Adaptation and mitigation measures such as the restoration of mangroves and coastal wetlands, reduce the risks from sea level rise (IPCC, 2022c).

'''KEY FINDINGS'''

The altimeter sea level trends over the [1999/02/21 to 2023/12/31] period exhibit large-scale variations with trends up to +10 mm/yr in regions such as the western tropical Pacific Ocean. In this area, trends are mainly of thermosteric origin (Legeais et al., 2018; Meyssignac et al., 2017) in response to increased easterly winds during the last two decades associated with the decreasing Interdecadal Pacific Oscillation (IPO)/Pacific Decadal Oscillation (e.g., McGregor et al., 2012; Merrifield et al., 2012; Palanisamy et al., 2015; Rietbroek et al., 2016).

Prandi et al. (2021) have estimated a regional altimeter sea level error budget from which they determine a regional error variance-covariance matrix and they provide uncertainties of the regional sea level trends. Over 1993-2019, the averaged local sea level trend uncertainty is around 0.83 mm/yr with local values ranging from 0.78 to 1.22 mm/yr.

'''DOI (product):''' https://doi.org/10.48670/moi-00238

This dataset was created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios.

The purpose of this dataset is to show potential sea level rise inundation of 2 ft above current Mean Higher High Water (MHHW) for the area.For more information visit the Sea Level Rise Impacts Viewer (https://coast.noaa.gov/slr). For metadata and source map service, see https://coast.noaa.gov/arcgis/rest/services/dc_slr/slr_2ft/MapServer. For additional information or questions, contact the NOAA Office for Coastal Management (coastal.info@noaa.gov).

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.coast.noaa.gov/slr This metadata record describes the Boston Weather Forecast Office (BOX WFO) digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. The DEMs created for this project were developed using the NOAA National Weather Service's Weather Forecast Office (WFO) boundaries. The DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications for the Boston WFO, which includes the coastal counties of Massachusetts and Rhode Island. The DEM was produced from LiDAR datasets acquired by the U.S. Geological Survey (USGS) under the LiDAR for the Northeast Project along with LiDAR datasets for Dukes County, Nantucket, and the City of Boston. Hydrographic breaklines were delineated from LiDAR intensity imagery generated from the LiDAR datasets. The final DEM is hydro flattened such that water elevations are less than or equal to -0.5 meters. The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 5 meters.

These data were created as part of the National Oceanic and Atmospheric Administration Office for Coastal Management's efforts to create an online mapping viewer called the Sea Level Rise and Coastal Flooding Impacts Viewer. It depicts potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: https://coast.noaa.gov/slr. This metadata record describes the Rhode Island digital elevation model (DEM), which is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's Sea Level Rise and Coastal Flooding Impacts Viewer described above. This DEM includes the best available lidar known to exist at the time of DEM creation that met project specifications. This DEM includes data for the entire state. The DEM was produced from the following lidar data sets: 1. 2013 - 2014 USGS Hurricane Sandy Supplemental for NE (RI, MA, NH) 2. 2011 USGS ARRA Lidar for the Northeast: Rhode Island 3. 2010 FEMA Narragansett River Lidar The DEM is referenced vertically to the North American Vertical Datum of 1988 (NAVD88, Geoid12B) with vertical units of meters and horizontally to the North American Datum of 1983 (NAD83). The resolution of the DEM is approximately 3 meters.

Coastal Risk Screening Tool: Map By Elevation Data

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and modeling efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Grid spacings for the DEMs range from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).The DEM Global Mosaic is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), along with the global GEBCO_2014 grid: http://www.gebco.net/data_and_products/gridded_bathymetry_data. NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service is a general-purpose global, seamless bathymetry/topography mosaic. It combines DEMs from a variety of near sea-level vertical datums, such as mean high water (MHW), mean sea level (MSL), and North American Vertical Datum of 1988 (NAVD88). Elevation values have been rounded to the nearest meter, with DEM cell sizes going down to 1 arc-second. Higher-resolution DEMs, with greater elevation precision, are available in the companion NAVD88: http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042 and MHW: http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799 mosaics. By default, the DEMs are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Please see NCEI's corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. In this visualization, the elevations/depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png.A map service showing the location and coverage of land and seafloor digital elevation models (DEMs) available from NOAA's National Centers for Environmental Information (NCEI). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. Layers available in the map service: Layers 1-4: DEMs by Category (includes various DEMs, both hosted at NCEI, and elsewhere on the web); Layers 6-11: NCEI DEM Projects (DEMs hosted at NCEI, color-coded by project); Layer 12: All NCEI Bathymetry DEMs (All bathymetry or bathy-topo DEMs hosted at NCEI).This is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), with vertical units referenced to mean high water (MHW). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service provides data from many individual DEMs combined together as a mosaic. By default, the rasters are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Alternatively, a single DEM or group of DEMs can be isolated using a filter/definition query or using the 'Lock Raster 'mosaic method in ArcMap. This is one of three services displaying collections of DEMs that are referenced to common vertical datums: North American Vertical Datum of 1988 (NAVD88): http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042, Mean High Water (MHW): http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799, and Mean Higher High Water: http://noaa.maps.arcgis.com/home/item.html?id=9471f8d4f43e48109de6275522856696. In addition, the DEM Global Mosaic is a general-purpose global, seamless bathymetry/topography mosaic containing all the DEMs together. Two services are available: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff Elevation Values: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff and Color Shaded Relief: http://noaa.maps.arcgis.com/home/item.html?id=feb3c625dc094112bb5281c17679c769. Please see the corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. This service has several server-side functions available. These can be selected in the ArcGIS Online layer using 'Image Display ', or in ArcMap under 'Processing Templates '. None: The default. Provides elevation/depth values in meters relative to the NAVD88 vertical datum. ColorHillshade: An elevation-tinted hillshade visualization. The depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png. GrayscaleHillshade: A simple grayscale hillshade visualization. SlopeMapRGB: Slope in degrees, visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/SlopeMapLegend_V7b.png. SlopeNumericValues: Slope in degrees, returning the actual numeric values. AspectMapRGB: Orientation of the terrain (0-360 degrees), visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/AspectMapLegendPie_V7b.png. AspectNumericValues: Aspect in degrees, returning the actual numeric values.

These data provide a preliminary overview, at a National scale, of the relative susceptibility of the Nation's coast to sea-level rise through the use of a coastal vulnerability index (CVI). This classification is based upon the following variables: geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise. The purpose of these data layers is to allow the user to view both the coastal vulnerability index (CVI) and the data from which the CVI is calculated (tides, wave height, relative sea-level rise, coastal slope, geomorphology, and shoreline erosion and accretion rate) for the U.S. Atlantic, Gulf, and Pacific Coasts. The CVI provides insight into the relative potential for coastal change due to future sea-level rise. The maps and data presented here can be viewed in at least two ways: 1) as a base for developing a more complete inventory of variables influencing the coastal vulnerability to future sea-level rise to which other elements can be added as they become available; and 2) as an example of the potential for assessing coastal vulnerability to future sea-level rise using objective criteria.

These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. The Sea Level Rise and Coastal Flooding Impacts Viewer may be accessed at: http://www.csc.noaa.gov/slr These data depict the potential inundation of coastal areas resulting from a projected 1 to 6 feet rise in sea level above current Mean Higher High Water (MHHW) conditions. The process used to produce the data can be described as a modified bathtub approach that attempts to account for both local/regional tidal variability as well as hydrological connectivity. The process uses two source datasets to derive the final inundation rasters and polygons and accompanying low-lying polygons for each iteration of sea level rise: the Digital Elevation Model (DEM) of the area and a tidal surface model that represents spatial tidal variability. The tidal model is created using the NOAA National Geodetic Survey's VDATUM datum transformation software (http://vdatum.noaa.gov) in conjunction with spatial interpolation/extrapolation methods and represents the MHHW tidal datum in orthometric values (North American Vertical Datum of 1988). The model used to produce these data does not account for erosion, subsidence, or any future changes in an area's hydrodynamics. It is simply a method to derive data in order to visualize the potential scale, not exact location, of inundation from sea level rise

Please see http://maps.massgis.state.ma.us/czm/moris/metadata/moris_noaa_slr_combined.htm for more details.

These data were created as part of the National Oceanic and Atmospheric Administration Coastal Services Center's efforts to create an online mapping viewer depicting potential sea level rise and its associated impacts on the nation's coastal areas. The purpose of the mapping viewer is to provide coastal managers and scientists with a preliminary look at sea level rise (slr) and coastal flooding impacts. The viewer is a screening-level tool that uses nationally consistent data sets and analyses. Data and maps provided can be used at several scales to help gauge trends and prioritize actions for different scenarios. See the NOAA Sea Level Rise and Coastal Flooding Impacts Viewer. These data depict the mapping confidence of the associated Sea Level Rise inundation data, for the sea level rise amount specified. Areas that have a low degree of confidence, or high uncertainty, represent locations that may be mapped correctly (either as inundated or dry) less than 8 out of 10 times. Areas that have a high degree of confidence, or low uncertainty, represent locations that will be correctly mapped (either as inundated or dry) more than 8 out of 10 times or that there is an 80 percent degree of confidence that these areas are correctly mapped. Areas mapped as dry (no inundation) with a high confidence or low uncertainty are coded as 0. Areas mapped as dry or wet with a low confidence or high uncertainty are coded as 1. Areas mapped as wet (inundation) with a high confidence or low uncertainty are coded as 2. The NOAA Coastal Services Center has tentatively adopted an 80 percent rank (as either inundated or not inundated) as the zone of relative confidence. The use of 80 percent has no special significance but is a commonly used rule of thumb measure to describe economic systems (Epstein and Axtell, 1996). In short, the method includes the uncertainty in the lidar derived elevation data (root mean square error, or RMSE) and the uncertainty in the modeled tidal surface from the NOAA VDATUM model (RMSE). This uncertainty is combined and mapped to show that the inundation depicted in this data is not really a hard line, but rather a zone with greater and lesser chances of getting wet. For a detailed description of the confidence level and its computation, please see the Mapping Inundation Uncertainty document.

Surging Seas Risk Zone MapThis global interactive map — searchable by city or postal code — shows areas vulnerable to permanent submergence from sea level rise, or to flooding from sea level rise, storm surge, tides, and tsunamis, in different combinations.

This app is part of Indicators of the Planet. Please see https://livingatlas.arcgis.com/indicatorsRelative sea level trends at US and non-US stations. The sea level trends as measured by tide gauges that are presented here are relative sea level (RSL) trends at the coastline as opposed to the global average sea level trend. Tide gauge measurements are made with respect to a local fixed reference on land. RSL change is a combination of the global sea level rise and the local vertical land motion. A negative RSL trend does not mean that the ocean is not rising. Instead, it indicates that the land is rising even faster then the ocean.The Center for Operational Oceanographic Products and Services (CO-OPS) has been measuring sea level for over 150 years, with tide stations of the National Water Level Observation Network operating on all US coasts. The information shown is also available on the CO-OPS website. https://tidesandcurrents.noaa.gov/sltrends/sltrends.htmlThe data is also available from the CO-OPS Derived Product API:https://tidesandcurrents.noaa.gov/dpapi/latest/

Accurate data and maps of sea floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. To address these concerns the U.S. Geological Survey, in cooperation with the Massachusetts Office of Coastal Zone Management (CZM), comprehensively mapped the Cape Cod Bay sea floor to characterize the surface and shallow subsurface geologic framework. Geophysical data collected include swath bathymetry, backscatter, and seismic reflection profile data. Ground-truth data, including sediment samples, underwater video, and bottom photographs were also collected. This effort is part of a long-term collaboration between the USGS and the Commonwealth of Massachusetts to map the State's waters, support research on the Quaternary evolution of coastal Massachusetts, the influence of sea-level change and sediment supply on coastal evolution, and efforts to understand the type, distribution, and quality of subtidal marine habitats. This collaboration produces high-resolution geologic maps and Geographic Information System (GIS) data that serve the needs of research, management and the public. Data collected as part of this mapping cooperative continue to be released in a series of USGS Open-File Reports and Data Releases (https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor). This data release provides the geophysical and geologic sampling data collected in Cape Cod Bay during USGS Field Activities 2019-002-FA and 2019-034-FA in 2019.

Coastal Risk Screening Tool: Map By Water LevelThe water level map allows users to explore what land is at risk from specific water levels (decimal feet, meters) that could be reached through combinations of sea level rise, tides, and storm surge.