Metadata: Identification_Information: Citation: Citation_Information: Originator: Travis K. Sterne Originator: Elizabeth A. Pendleton Originator: Erika E. Lentz Originator: Rachel E. Henderson Publication_Date: 20230228 Title: Coastal Change Likelihood in the U.S. Northeast Region: Maine to Virginia - Event Hazards Edition: 1.0 Geospatial_Data_Presentation_Form: raster digital data Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P96A2Q5X Publication_Information: Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA Publisher: U.S. Geological Survey, Coastal and Marine Hazards and Resources Program Online_Linkage: https://doi.org/10.5066/P96A2Q5X Online_Linkage: https://www.sciencebase.gov/catalog/item/61783250d34e4c6b7fe2a4a2 Larger_Work_Citation: Citation_Information: Originator: Travis K. Sterne Originator: Elizabeth A. Pendleton Originator: Erika E. Lentz Originator: Rachel E. Henderson Publication_Date: 2023 Title: Coastal Change Likelihood in the U.S. Northeast Region — Maine to Virginia Edition: 1 Geospatial_Data_Presentation_Form: raster digital data Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P96A2Q5X Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested citation: Sterne, T.K., Pendleton, E.A., Lentz, E.E., and Henderson, R.E., 2023, Coastal Change Likelihood in the U.S. Northeast Region — Maine to Virginia: U.S. Geological Survey data release, https://doi.org/10.5066/P96A2Q5X. Online_Linkage: https://doi.org/10.5066/P96A2Q5X Online_Linkage: https://www.sciencebase.gov/catalog/item/61781c1bd34e4c6b7fe2a425 Description: Abstract: Coastal resources are increasingly impacted by erosion, extreme weather events, sea-level rise, tidal flooding, and other potential hazards related to climate change. These hazards have varying impacts on coastal landscapes due to the numerous geologic, oceanographic, ecological, and socioeconomic factors that exist at a given location. Here, an assessment framework is introduced that synthesizes existing datasets describing the variability of the landscape and hazards that may act on it to evaluate the likelihood of coastal change along the U.S coastline within the coming decade. The pilot study, conducted in the Northeastern U.S. (Maine to Virginia), is comprised of datasets derived from a variety of federal, state, and local sources. First, a decision tree-based dataset is built that describes the fabric or integrity of the coastal landscape and includes landcover, elevation, slope, long-term (>150 years) shoreline change trends, dune height, and marsh stability data. A second database was generated from coastal hazards, which are divided into event hazards (e.g., flooding, wave power, and probability of storm overwash) and persistent hazards (e.g., relative sea-level rise rate, short-term (about 30 years) shoreline erosion rate, and storm recurrence interval). The fabric dataset is then merged with the coastal hazards databases and a training dataset made up of hundreds of polygons is generated from the merged dataset to support a supervised learning classification. Results from this pilot study are location-specific at 10-meter resolution and are made up of four raster datasets that include (1) quantitative and qualitative information used to determine the resistance of the landscape to change, (2 & 3) the potential coastal hazards that act on it, (4) the machine learning output, or Coastal Change Likelihood (CCL), based on the cumulative effects of both fabric and hazards, and (5) an estimate of the hazard type (event or persistent) that is the likely to influence coastal change. Final outcomes are intended to be used as a first order planning tool to determine which areas of the coast may be more likely to change in response to future potential coastal hazards, and to examine elements and drivers that make change in a location more likely. Purpose: Coastal Change Likelihood (CCL) is a first order planning tool that estimates the likelihood that an area of coast will experience change based on its inherit resistance to change, metrics associated with specific land cover types, and the hazards that impact a coast. The CCL Event Hazards dataset is a 10-meter-per-pixel (mpp) compilation of three event-driven coastal hazards (high-tide flooding, wave power, and overwash potential) used in building the final CCL product in geotiff format. Each raster cell is assigned a unique value based on the potential hazard scenario expected to occur in a given location. All relevant information pertaining to each grid cell is stored in the associated attribute table. This dataset covers the Northeast US coastline between +/- 10 meters elevation relative to mean high water (MHW) from Maine to Virginia. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2010 Ending_Date: 2021 Currentness_Reference: ground condition of source data Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -77.4828 East_Bounding_Coordinate: -66.5998 North_Bounding_Coordinate: 45.3000 South_Bounding_Coordinate: 36.5148 Keywords: Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: geoscientificInformation Theme_Keyword: oceans Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: Coastal and Marine Hazards Mission Area Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: Coastal Fabric Theme_Keyword: Elevation Theme_Keyword: Interpretation Theme_Keyword: Bathymetry Theme_Keyword: Landcover Theme_Keyword: Land Cover Theme_Keyword: Topography Theme_Keyword: UVVR Theme_Keyword: Unvegetated-Vegetated Ratio Theme_Keyword: Shoreline Change Theme_Keyword: Coastal Hazards Theme_Keyword: High Tide Flooding Theme_Keyword: Storm Recurrence Theme_Keyword: Wave Power Theme_Keyword: Storm Overwash Theme_Keyword: Sea Level Rise Theme_Keyword: Coastal Change Hazard Assessment Theme_Keyword: Coastal Vulnerability Index Theme_Keyword: Machine Learning Theme_Keyword: Autoclassification Theme_Keyword: Automation Theme_Keyword: Arcpy Theme_Keyword: ArcGIS Pro Theme_Keyword: Support Vector Machine Theme_Keyword: Training Samples Theme_Keyword: Supervised Classification Theme_Keyword: Decision Tree Framework Theme_Keyword: scientific interpretation Theme_Keyword: land use and land cover Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: marine geology Theme_Keyword: coastal processes Theme_Keyword: topography Theme_Keyword: sea-level change Theme_Keyword: hazards Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:61783250d34e4c6b7fe2a4a2 Place: Place_Keyword_Thesaurus: None Place_Keyword: Northeast US Place_Keyword: Maine Place_Keyword: New Hampshire Place_Keyword: Massachusetts Place_Keyword: Rhode Island Place_Keyword: Connecticut Place_Keyword: New York Place_Keyword: New Jersey Place_Keyword: Delaware Place_Keyword: Maryland Place_Keyword: Virginia Place_Keyword: St. Croix Island International Historic Site Place_Keyword: Acadia National Park Place_Keyword: Gateway National Recreation Area Place_Keyword: George Washington Birthplace National Monument Place_Keyword: Cape Cod National Seashore Access_Constraints: None. Please see 'Distribution Info' for details. Use_Constraints: Not to be used for navigation. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information. Additionally, there are limitations associated with coastal change hazard assessments. Although these data are published at a resolution of 10 mpp and are considered high resolution, the intended scale for use is around 1:24,000. Please read the associated data release (https://doi.org/10.3133/dr1169) for a list of caveats, applications, and use recommendations for these data. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Travis K Sterne Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Rd City: Woods Hole State_or_Province: MA Postal_Code: 02543 Contact_Voice_Telephone: (508) 548 8700 x2219 Contact_Electronic_Mail_Address: tsterne@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: https://www.sciencebase.gov/catalog/file/get/61783250d34e4c6b7fe2a4a2?name=EvHaz_Graphic.jpg Browse_Graphic_File_Description: Outer Cape Cod with Event Hazard data layer. Browse_Graphic_File_Type: JPEG Native_Data_Set_Environment: Version 6.2 (Build 9200) ; Esri ArcGIS Pro 2.6.3 Cross_Reference: Citation_Information: Originator: Thieler, E.R. Originator: Hammar-Klose, E.S. Publication_Date: 1999 Title: National assessment of coastal vulnerability to sea-level rise; U.S. Atlantic Coast Geospatial_Data_Presentation_Form: vector digital data Series_Information: Series_Name: Open-File Report Issue_Identification: 1999-593 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.3133/ofr99593 Online_Linkage: https://pubs.usgs.gov/of/1999/of99-593/ Cross_Reference: Citation_Information: Originator: Elizabeth A. Pendleton Originator: Erika E. Lentz Originator: Travis K. Sterne Originator: Rachel E. Henderson Publication_Date: 2023 Title: Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia Series_Information: Series_Name: Data Report Issue_Identification: 1169 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested citation: Pendleton, E.A., Lentz, E.E., Sterne, T.K., and Henderson, R.E., 2023, Development and application of a coastal change likelihood assessment for the northeast region, Maine to Virginia: U.S. Geological Survey Data Report 1169, 56 p., https://doi.org/10.3133/dr1169. The CCL data release (https://doi.org/10.5066/P96A2Q5X) is associated with the CCL Data Report (https://doi.org/10.3133/dr1169) Online_Linkage: https://doi.org/10.3133/dr1169 Online_Linkage: https://pubs.er.usgs.gov/publication/dr1169 Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: All data values represent a compilation of coastal hazards likely to be present in the coming decade based on previous empirical research and expert opinion. The final output generated is the expected outcome based on this information. Logical_Consistency_Report: All data were checked for accuracy during processing. Any inconsistencies in the final data product are artifacts of source data. Completeness_Report: CCL is a model for coastal landscapes in the Northeast United States. All output is "clipped" to an elevation domain; this dataset represents coastal hazards likely to be present in the coming decade from -10 to +10 meters MHW elevation, where data exists. Existing gaps in coverage for this dataset within this domain are a result of data gaps in source information. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Horizontal coordinate information is referenced to the World Geodetic System of 1984 (WGS 1984) in a Geographic Coordinate System or WGS 1984 Web Mercator (auxiliary sphere) in a Projected Coordinate System. Source data were resampled to 10 mpp for use. There may be resampling errors associated with coarsening (e.g. high tide flooding data were resampled from ~5 mpp to 10 mpp) and rectilinear conversion of the finite element climatological wave data. Likewise some data, including storm overwash likelihood, were rasterized from a source vector, and there can be spatial inconsistencies associated with the rasterization of vector data. The horizontal accuracy of this dataset is assumed to be better than +/– 30 meters, but dynamic coastal areas may experience much higher rates of change during storms, and horizontal offset at the shoreline maybe much higher (+/- 100 meters) in certain areas. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: This dataset’s domain is defined by the z-values (elevation) domain of the Fabric dataset (of this publication), and as such has a horizontal positional uncertainty of up to 50 cm along the edge of the domain, which corresponds to + or – 10 meters MHW. However, this dataset has no explicit vertical depth values itself, and therefore there is no vertical position accuracy estimate except along the boundary of this dataset domain. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: E.A. Himmelstoss Originator: A.S. Farris Originator: K.M. Weber Publication_Date: 20181126 Title: Massachusetts Shoreline Change Project, 2018 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.0, With Supplementary Intersects and Baselines for Massachusetts Geospatial_Data_Presentation_Form: vector digital data Online_Linkage: https://doi.org/10.5066/P9RRBEYK Online_Linkage: https://www.sciencebase.gov/catalog/item/5be5857ce4b0b3fc5cf8c6ca Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 20181126 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: Shoreline Change - MA Source_Contribution: Shoreline Change Rates Source_Information: Source_Citation: Citation_Information: Originator: E.A. Himmelstoss Originator: M. Kratzmann Originator: C. Hapke Originator: E.R. Thieler Originator: J. List Publication_Date: 2010 Title: The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: Suggested citation: Himmelstoss, E.A., Kratzmann, M., Hapke, C., Thieler, E.R., and List, J., 2010, The national assessment of shoreline change: A GIS compilation of vector shorelines and associated shoreline change data for the New England and Mid-Atlantic Coasts: U.S. Geological Survey Open-File Report 2010–1119, available only online at https://pubs.usgs.gov/of/2010/1119. Online_Linkage: https://doi.org/10.3133/ofr20101119 Online_Linkage: https://pubs.usgs.gov/of/2010/1119 Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2010 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: Shoreline Change - Not MA Source_Contribution: Shoreline Change Rates Source_Information: Source_Citation: Citation_Information: Originator: K.S. Doran Originator: J.J. Birchler Originator: M.W. Hardy Originator: K.J. Bendik Originator: J.M. Pardun Originator: H.A. Locke Publication_Date: 2020 Title: National assessment of hurricane-induced coastal erosion hazards Edition: Version 2.0, February 2021 Geospatial_Data_Presentation_Form: vector digital data Other_Citation_Details: Doran, K.S., Birchler, J.J., Hardy, M.W., Bendik, K.J., Pardun, J.M., and Locke, H.A., 2020, National assessment of hurricane-induced coastal erosion hazards (ver. 2.0, February 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P99ILAB9. Online_Linkage: https://doi.org/10.5066/P99ILAB9 Online_Linkage: https://coastal.er.usgs.gov/data-release/doi-P99ILAB9/ Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 20210218 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: PCOI Source_Contribution: Dune Height, probability of overwash Source_Information: Source_Citation: Citation_Information: Originator: W.V. Sweet Originator: D. Marcy Originator: G. Dusek Originator: J.J. Marra Originator: M. Pendleton Publication_Date: 2017 Title: State of U.S. High Tide Flooding with a 2018 Outlook, National Oceanic and Atmospheric Administration (NOAA) Center for Operational Oceanographic Products and Services Geospatial_Data_Presentation_Form: raster digital data Online_Linkage: https://coast.noaa.gov/slrdata/ Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2012 Ending_Date: 2016 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: HTF Source_Contribution: High tide flooding potential Source_Information: Source_Citation: Citation_Information: Originator: A.L. Aretxabaleta Originator: Z. Defne Originator: T.S. Kalra Originator: B.O. Blanton Originator: N.K. Ganju Publication_Date: 2022 Title: Climatological wave height, wave period and wave power along coastal areas of the east coast of the United States and Gulf of Mexico Geospatial_Data_Presentation_Form: tabular and vector digital data Other_Citation_Details: Suggested citation: Aretxabaleta, A.L., Defne, Z., Kalra, T.S., Blanton, B.O., and Ganju, N.K., 2022, Climatological wave height, wave period and wave power along coastal areas of the East Coast of the United States and Gulf of Mexico: U.S. Geological Survey data release, https://doi.org/10.5066/P9HJ0JIQ. Online_Linkage: https://doi.org/10.5066/P9HJ0JIQ Online_Linkage: https://www.sciencebase.gov/catalog/item/61ce0a6dd34ed79293fc874b Type_of_Source_Media: Digital and/or Hardcopy Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2022 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: Waves Source_Contribution: Wave Power Process_Step: Process_Description: This step and all the subsequent steps were completed by Elizabeth A. Pendleton or Travis K. Sterne using ESRI ArcGIS Pro geospatial software. Any steps that mention the use of “tools” or “functions” refer to geoprocessing tools utilized in ArcGIS Pro. The steps described in detail below are computed on the domain defined by the fabric dataset found in this data release. Each hazard dataset processed and included in this dataset has been clipped or modified to fit within the domain of the Northeast CCL study area. The final hazards raster (at end of step 4) presented here is a combination of three hazards that can be classified as event hazards because they occur intermittently. Event hazards include high tide flooding, storm overwash, and waves power (because the most damaging waves typically occur during storm events). Event hazard magnitudes are stored in according to place holder values, such that the ones place is occupied by high tide flooding, the tens place is occupied by wave power, and the hundreds place is occupied by storm overwash probability. Each event hazard has between 2 and 4 classes associated with its presence, thresholds, or magnitude defined either in this study or the source data publication. Details about the source data and processing for each hazard layer are described below. Process_Date: 2020 Process_Step: Process_Description: Step 1: High Tide Flooding: NOAA’s flood frequency layer was re-sampled to 10 mpp resolution (from the original resolution of 2.7 mpp) and NoData values were reclassified to 0 using the Reclassify tool. The resampled high tide flood layer extent was then clipped using the elevation mosaic created in the Fabric dataset, wherever elevation was less than 0 meters MHW using Raster Calculator. This created 2 classes for the high tide flooding hazard – 0 for absence, 1 for presence. Source_Used_Citation_Abbreviation: HTF Process_Date: 2020 Source_Produced_Citation_Abbreviation: EventHazards1 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Travis K Sterne Contact_Organization: U.S. Geological Survey, NORTHEAST REGION Contact_Position: Geographer Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: (508) 548 8700 x2219 Contact_Electronic_Mail_Address: tsterne@usgs.gov Process_Step: Process_Description: Step 2: Wave Power : Climatological wave power in Watts per meter (W/m) covering the East Coast on an irregular ADCIRC grid (Aretxabaleta and others, 2022) was rectilinearly gridded at 10 mpp resolution using the Points to Raster tool and the wave power was interpolated to the extent of the high tide flooding surface using the geoprocessing environment to match the processing extent of to the high-tide flood domain, so that wave power was propagated onto land in areas where flooding has occurred in the past. Wave power thresholds were divided into 4 classes (wave power value, reclassified value): greater than zero and less than or equal to10 W/m, 10; greater than 10 to 50 W/m, 20; greater than 50 to 185 W/m, 30; and greater than 185 W/m, 40. Source_Used_Citation_Abbreviation: Waves Process_Date: 2020 Source_Produced_Citation_Abbreviation: EventHazards2 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Elizabeth A. Pendleton Contact_Organization: U.S. Geological Survey, NORTHEAST REGION Contact_Position: Geologist Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: (508) 548 8700 x2259 Contact_Electronic_Mail_Address: ependleton@usgs.gov Process_Step: Process_Description: Step 3: Probability of Category 2 Storm Overwash: Storm overwash probability was derived from Doran and others (2020), and storm category 2 for overwash regime was chosen as the best fit for CCL. The Spatial Join function was used to append overwash probability values (0 to 100%) to the short-term shoreline change transects from Himmelstoss, Farris, and Weber (2018) and Himmelstoss and others (2010). Transect data were clipped to eliminate spatial overhang into inapplicable portions of the landscape such as back-bay areas of barrier islands using the Clip tool. Transects were then converted to raster format using the Feature to Raster tool and interpolated using two low-pass smoothing filters (Filter tool) in order to fill in data gaps between the 50-meter-spaced transects. Thresholds were defined and the raster layer was reclassified as follows (probability threshold, reclassified value): Less than or equal to 25% overwash probability, 100; 25-75%, 200; greater than 75%, 300. Source_Used_Citation_Abbreviation: Shoreline Change - MA Source_Used_Citation_Abbreviation: Shoreline Change - Not MA Source_Used_Citation_Abbreviation: PCOI Process_Date: 2021 Source_Produced_Citation_Abbreviation: EventHazards3 Process_Step: Process_Description: Step 4: The individual event hazards layers were combined into a single geotiff using Raster Calculator by adding all previously compiled raster layers together (EventHazards1 + EventHazards2 + EventHazards3). The resultant grid had values between 1 and 331, representing the combination of hazards and their magnitudes that exist for a given area. The attribute table for this integer grid was updated to include a text descriptor field to help users identify the event hazards present for each grid value. See entity and attribute section for a list of grid value definitions. Source_Used_Citation_Abbreviation: EventHazards1 Source_Used_Citation_Abbreviation: EventHazards2 Source_Used_Citation_Abbreviation: EventHazards3 Process_Date: 2021 Source_Produced_Citation_Abbreviation: EventHazardsComposite Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Raster Raster_Object_Information: Raster_Object_Type: Grid Cell Row_Count: 128024 Column_Count: 117988 Vertical_Count: 1 Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Map_Projection: Map_Projection_Name: Mercator_1SP Map_Projection_Parameters: False_Easting: 0.0 False_Northing: 0.0 Latitude_of_Projection_Origin: 0.0 Longitude_of_Central_Meridian: 0.0 Standard_Parallel: 0.0 Standard_Parallel: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: row and column Coordinate_Representation: Abscissa_Resolution: 10.0 Ordinate_Resolution: 10.0 Planar_Distance_Units: meters Geodetic_Model: Horizontal_Datum_Name: WGS_1984 Ellipsoid_Name: WGS 84 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257223563 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: USGS_CCL_EventHazards_2022.tif Entity_Type_Definition: Raster geospatial data file. Entity_Type_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: OID Attribute_Definition: Internal object identifier. Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: Value Attribute_Definition: Unique numeric values contained in each raster cell. Attribute_Definition_Source: U.S. Geological Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 1 Enumerated_Domain_Value_Definition: High tide flooding, wave power = 0 W/m, no overwash data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 11 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 0 and less than or equal to 50 W/m, no overwash data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 21 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 50 and less than or equal to 185 W/m, no overwash data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 31 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 185 W/m, no overwash data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 100 Enumerated_Domain_Value_Definition: No high tide flooding, wave power = 0 W/m, overwash potential less than or equal to 25% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 101 Enumerated_Domain_Value_Definition: High tide flooding, wave power = 0 W/m, overwash potential less than or equal to 25% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 111 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 0 and less than or equal to 50 W/m, overwash potential less than or equal to 25% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 121 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 50 and less than or equal to 185 W/m, overwash potential less than or equal to 25% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 131 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 185 W/m, overwash potential less than or equal to 25% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 200 Enumerated_Domain_Value_Definition: No high tide flooding, wave power = 0 W/m, overwash potential greater than 25% and less than or equal to 75%l Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 201 Enumerated_Domain_Value_Definition: High tide flooding, wave power = 0 W/m, overwash potential greater than 25% and less than or equal to 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 211 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 0 and less than or equal to 50 W/m, overwash potential greater than 25% and less than or equal to 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 221 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 50 and less than or equal to 185 W/m, overwash potential greater than 25% and less than or equal to 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 231 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 185 W/m, overwash potential greater than 25% and less than or equal to 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 300 Enumerated_Domain_Value_Definition: No high tide flooding, wave power = 0 W/m, overwash potential greater than 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 301 Enumerated_Domain_Value_Definition: High tide flooding, wave power = 0 W/m, overwash potential greater than 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 311 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 0 and less than or equal to 50 W/m, overwash potential greater than 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 321 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 50 and less than or equal to 185 W/m, overwash potential greater than 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 331 Enumerated_Domain_Value_Definition: High tide flooding, wave power greater than 185 W/m, overwash potential greater than 75% Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: Count Attribute_Definition: Number of raster cells with this value. Attribute_Definition_Source: Esri Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 5051 Range_Domain_Maximum: 276817125 Attribute: Attribute_Label: HTF Attribute_Definition: High Tide Flooding: "Y" indicates a high likelihood that an area will become flooded during extreme tide events in the coming decade. "N" indicates a low relative likelihood to be affected by this potential hazard. Attribute_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: N Enumerated_Domain_Value_Definition: indicates a low relative likelihood to be affected by high tide flooding Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Y Enumerated_Domain_Value_Definition: indicates a high likelihood that an area will become flooded during extreme tide events in the coming decade Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: Wave_Power Attribute_Definition: Wave Power in Watts per meter (W/m). Value range indicates wave power in W/m that an area is likely to be exposed to in the coming decade. Attribute_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: None Enumerated_Domain_Value_Definition: No wave power (0 W/m) Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Low Enumerated_Domain_Value_Definition: Wave power greater than 0 W/m, but less than 50 W/m Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Moderate Enumerated_Domain_Value_Definition: Wave power greater than or equal to 50 W/m, but less than 185 W/m Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: High Enumerated_Domain_Value_Definition: Wave power gretaer than 185 W/m Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute: Attribute_Label: Overwash Attribute_Definition: Overwash potential for category 2 storm. Value refers to the probability that an area will experience overwash during a category 2 storm as described in Doran et al. (2020). Attribute_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: NoData Enumerated_Domain_Value_Definition: No Data Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Low Enumerated_Domain_Value_Definition: Probability of storm overwash is less than 25 percent for a category 2 storm Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: Moderate Enumerated_Domain_Value_Definition: Probability of storm overwash is greater than 25 percent but less than 75 percent for a category 2 storm Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: High Enumerated_Domain_Value_Definition: Probability of storm overwash is greater than 75 percent for a category 2 storm Enumerated_Domain_Value_Definition_Source: U.S. Geological Survey Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey - ScienceBase Contact_Address: Address_Type: mailing and physical address Address: Denver Federal Center, Building 810, Mail Stop 302 City: Denver State_or_Province: CO Postal_Code: 80225 Country: US Contact_Voice_Telephone: 1-888-275-8747 Contact_Electronic_Mail_Address: sciencebase@usgs.gov Resource_Description: This dataset contains the raster data layer (.tif) and associated files (.sld, .ovr, .cpg, and .dbf) needed to view and edit the information it contains, as well as the FGDC CSDGM metadata in XML format. The .sld is a Service Layer Definition file used by ScienceBase to display the data, the .ovr file contains the pyramids used by a GIS to display the data at different scales the .cpg file is for charactersets, and the .dbf is a dBASE table file used to store data attributes. Distribution_Liability: Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: GeoTIFF Format_Version_Number: ESRI ArcGIS Pro v2.6.3 Transfer_Size: 451 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://doi.org/10.5066/P96A2Q5X Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/61783250d34e4c6b7fe2a4a2 Network_Resource_Name: https://www.sciencebase.gov/catalog/item/61783250d34e4c6b7fe2a4a2 Access_Instructions: The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page. Fees: None Metadata_Reference_Information: Metadata_Date: 20230228 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Elizabeth A. Pendleton Contact_Position: Geologist Contact_Address: Address_Type: mailing and physical Address: 384 Woods Hole Rd City: Woods Hole State_or_Province: MA Postal_Code: 02543 Contact_Voice_Telephone: (508) 457 2259 Contact_Electronic_Mail_Address: ependleton@usgs.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata, FGDC-STD-001-1998 Metadata_Standard_Version: FGDC-STD-001.1-1998