Metadata: Identification_Information: Citation: Citation_Information: Originator: Kristen C. Alkins Originator: Camila L. Gaido Originator: Borja G. Reguero Originator: Curt D. Storlazzi Publication_Date: 20240130 Title: Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Mariana Islands Geospatial_Data_Presentation_Form: shapefile Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P9RIQ7S7 Publication_Information: Publication_Place: Pacific Coastal and Marine Science Center, Santa Cruz, CA Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.5066/P9RIQ7S7 Larger_Work_Citation: Citation_Information: Originator: Kristen C. Alkins Originator: Camila L. Gaido Originator: Borja G. Reguero Originator: Curt D. Storlazzi Publication_Date: 2024 Title: Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawiian, Mariana, and American Samoan Islands Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P9RIQ7S7 Publication_Information: Publication_Place: Pacific Coastal and Marine Science Center, Santa Cruz, CA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested Citation: Alkins, K.C., Gaido L., C., Reguero, B.G, and Storlazzi, C.D., 2024, Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands: U.S. Geological Survey data release, https://doi.org/10.5066/P9RIQ7S7. Online_Linkage: https://doi.org/10.5066/P9RIQ7S7 Description: Abstract: This data release provides flooding extent polygons based on sea-level rise and wave-driven total water levels for the coast of the most populated Mariana Islands of Guam and Saipan. Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding due to climate change and sea-level rise. We followed risk-based valuation approaches to map flooding due to waves and storm surge at 10-m2 resolution along these islands' coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios. Purpose: These flood extent files were created to evaluate the increased risks of storm-induced coastal flooding in the most populated Mariana Islands of Guam and Saipan due to climate change and sea-level rise. The data is intended to provide a spatially explicit, rigorous valuation of how, where, and when climate change and sea-level rise increase coastal storm-induced flooding to help identify areas where management and/or restoration could potentially help reduce the risk to, and increase the resiliency of, the coastal communities in Guam and The Mariana Islands. The data can be used with geographic information systems (GIS) software for research purposes. The methods follow a sequence of steps derived from Storlazzi and others (2019, 2021) and Reguero and others (2021) that integrate physics-based oceanographic and coastal engineering modeling, along with ecologic and geospatial data and tools, to quantify the role of climate change and sea-level rise in increasing coastal flooding hazards. Supplemental_Information: Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Although this Federal Geographic Data Committee-compliant metadata file is intended to document the dataset in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20230103 Ending_Date: 20230401 Currentness_Reference: publication date Status: Progress: Complete Maintenance_and_Update_Frequency: Progress=Complete/Update Frequency= None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: 144.61645626 East_Bounding_Coordinate: 145.832676405 North_Bounding_Coordinate: 15.290201801 South_Bounding_Coordinate: 13.234237857 Keywords: Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: oceans Theme_Keyword: environment Theme_Keyword: geoscientificInformation Theme: Theme_Keyword_Thesaurus: Data Categories for Marine Planning Theme_Keyword: Predictions Theme_Keyword: Physical Habitats and Geomorphology Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: Coastal Processes Theme_Keyword: Geospatial Datasets Theme_Keyword: Spatial Analysis Theme_Keyword: Climate Change Theme_Keyword: Storms Theme_Keyword: Floods Theme_Keyword: Sea-level Change Theme_Keyword: Mathematical modeling Theme_Keyword: Effects of climate change Theme_Keyword: Earth sciences Theme: Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords Theme_Keyword: Flooding Theme_Keyword: Sea level change Theme_Keyword: Waves Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: Coastal and Marine Hazards and Resources Program Theme_Keyword: CMHRP Theme_Keyword: Pacific Coastal and Marine Science Center Theme_Keyword: PCMSC Theme_Keyword: Environmental Justice Theme_Keyword: Environmental Equity Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:64821e5ad34eac007b580e11 Place: Place_Keyword_Thesaurus: Geographic Names Information System (GNIS) Place_Keyword: Mariana Islands Place_Keyword: Guam Place_Keyword: Saipan Island Access_Constraints: None Use_Constraints: USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey and UCSC as the originator(s) of the dataset and in products derived from these data. This information is not intended for navigation purposes. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey, Pacific Coastal and Marine Science Center Contact_Person: PCMSC Science Data Coordinator Contact_Address: Address_Type: mailing and physical Address: 2885 Mission Street City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-427-4747 Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov Native_Data_Set_Environment: Environment as of Metadata Creation: Microsoft Windows 10 Version 22H2 (Build 19045.2728) Service Pack 1; Esri ArcGIS 10.8.1 (Build 0) Cross_Reference: Citation_Information: Originator: Curt D. Storlazzi Originator: Borja G. Reguero Originator: Camila L. Gaido Originator: Kristen C. Alkins Originator: Chris Lowrie Originator: Kees M. Nederhoff Originator: Li H. Erikson Originator: Andrea C. O'Neill Originator: Mike W. Beck Publication_Date: 2024 Title: Forecasting Storm-Induced Coastal Flooding for 21st Century Sea-Level Rise Scenarios in the Hawaiian, Mariana, and American Samoan Islands Other_Citation_Details: Storlazzi, C.D., Reguero, B.G., Gaido L., C., Alkins, K.C., Lowrie, C., Nederhoff, K.M., Erikson, L.H., O'Neill, A.C., and Beck, M.W., 2024, Forecasting storm-induced coastal flooding for 21st century sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands: U.S. Geological Survey Data Report 1184, 21 p., https://doi.org/10.3133/dr1184. Online_Linkage: https://doi.org/10.3133/dr1184 Cross_Reference: Citation_Information: Originator: Curt D. Storlazzi Originator: Borja G. Reguero Originator: Aaron D. Cole Originator: Eric Lowe Originator: James B. Shope Originator: Ann E. Gibbes Originator: Barry A. Nickel Originator: Robert T. McCall Originator: Ap R. van Dongeren Originator: Mike W. Beck Publication_Date: 2019 Title: Rigorously Valuing the Role of U.S. Coral Reefs in Coastal Hazard Risk Reduction Other_Citation_Details: Online_Linkage https://doi.org/10.3133/ofr20191027 Cross_Reference: Citation_Information: Originator: Curt D. Storlazzi Originator: Borja G. Reguero Originator: T. Shay Viehman Originator: Kristen A. Cumming Originator: Aaron D. Cole Originator: James B. Shope Originator: Ann E. Gibbes Originator: Sarah H. Groves Originator: Barry A. Nickel Originator: Camila Gaido L. Originator: Mike W. Beck Publication_Date: 2021 Title: Other_Citation_Details Online_Linkage Cross_Reference: Citation_Information: Originator: Borja G. Reguero Originator: Curt D. Storlazzi Originator: Ann E. Gibbes Originator: James B. Shope Originator: Aaron D. Cole Originator: Kristen A. Cumming Originator: Mike W. Beck Publication_Date: 2021 Title: Author Correction: The value of US coral reefs for flood risk reduction Other_Citation_Details: Reguero, B.G., Storlazzi, C.D., Gibbs, A.E., Shope J.B., Cole, A.D., Cumming, K.A., and Beck, M.W., 2021 Author Correction: The value of US coral reefs for flood risk reduction. Nat Sustain 4, 457. Online_Linkage: https://doi.org/10.1038/s41893-021-00724-4 Cross_Reference: Citation_Information: Originator: Booij, N Originator: Ris, R.C. Originator: Holthuijsen, L.H. Publication_Date: 1999 Title: A third-generation wave model for coastal regions - 1. Model description and validation Other_Citation_Details: Booij, N., Ris, R.C. and Holthuijsen, L.H., 1999, A third-generation wave model for coastal regions - 1. Model description and validation, Journal of Geophysical Research-Oceans, 104(C4): 7649-7666. Cross_Reference: Citation_Information: Originator: Camus, P. Originator: Mendez, F.J. Originator: Medina, R. Originator: Cofino, A.S., Publication_Date: 2011 Title: Analysis of clustering and selection algorithms for the study of multivariate wave climate Other_Citation_Details: Camus, P., Mendez, F.J., Medina, R., and Cofino, A.S., 2011. Analysis of clustering and selection algorithms for the study of multivariate wave climate, Coastal Engineering, 58: 453-462. Cross_Reference: Citation_Information: Originator: Erikson, L.H. Originator: Herdman, L. Originator: Flahnerty, C. Originator: Engelstad, A. Originator: Pusuluri, P Originator: Barnard, P.L Originator: Storlazzi, C.D. Originator: Beck, M. Originator: Reguero, B. Originator: Parker, K. Publication_Date: 2022 Title: Ocean wave time-series data simulated with a global-scale numerical wave model under the influence of projected CMIP6 wind and sea ice fields Other_Citation_Details: Erikson, L.H., Herdman, L., Flahnerty, C., Engelstad, A., Pusuluri, P., Barnard, P.L., Storlazzi, C.D., Beck, M., Reguero, B., Parker, K., 2022, Ocean wave time-series data simulated with a global-scale numerical wave model under the influence of projected CMIP6 wind and sea ice fields: U.S. Geological Survey data release Online_Linkage: https://doi.org/10.5066/P9KR0RFM Cross_Reference: Citation_Information: Originator: Leijnse, T Originator: van Ormondt, M Originator: Nederhoff, K. Originator: van Dongeren, A. Publication_Date: 2021 Title: Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind-and wave-driven processes Other_Citation_Details: Leijnse, T., van Ormondt, M., Nederhoff, K., & van Dongeren, A., 2021, Modeling compound flooding in coastal systems using a computationally efficient reduced-physics solver: Including fluvial, pluvial, tidal, wind-and wave-driven processes. Coastal Engineering, 163, 103796. Cross_Reference: Citation_Information: Originator: Ris, R.C. Originator: Holthuijsen, L.H. Originator: Booij, N. Publication_Date: 1999 Title: A third-generation wave model for coastal regions- 2. Verification Other_Citation_Details: Ris, R.C., Holthuijsen, L.H., and Booij, N., 1999, A third-generation wave model for coastal regions - 2. Verification, J. Journal of Geophysical Research-Oceans, 104(C4): 7667–7681. Cross_Reference: Citation_Information: Originator: Roelvink, J.A. Originator: Reniers A. Originator: van Dongeren, A.R. Originator: van Thiel de Vries, J. Originator: McCall, R. Originator: Lescinski, J. Publication_Date: 2009 Title: Modelling storm impacts on beaches, dunes and barrier islands Other_Citation_Details: Roelvink, J.A., Reniers A., van Dongeren, A.R., van Thiel de Vries, J., McCall, R. and Lescinski, J., 2009, Modelling storm impacts on beaches, dunes and barrier islands, Coastal Engineering, 56(11-12): 1133–1152. Cross_Reference: Citation_Information: Originator: Simulating Waves Nearshore (SWAN) Publication_Date: 2016 Title: SWAN website Other_Citation_Details: SWAN, 2016. SWAN website. access date: Dec 19, 2016 Online_Linkage: https://swanmodel.sourceforge.io/ Cross_Reference: Citation_Information: Originator: Verlaan, M. Originator: De Kleermaeker, S. Originator: Buckman, L Publication_Date: 2015 Title: GLOSSIS: Global storm surge forecasting and information system. Other_Citation_Details: Verlaan, M., De Kleermaeker, S., Buckman, L., 2015, GLOSSIS: Global storm surge forecasting and information system. In: Australasian Coasts & Ports Conference, p. 22. Cross_Reference: Citation_Information: Originator: XBeach Publication_Date: 2016 Title: XBeach Open Source Community website. Other_Citation_Details: XBeach, 2016. XBeach Open-Source Community website. http://oss.deltares.nl/web/xbeach/ [access date: Dec 19, 2016] Online_Linkage: http://oss.deltares.nl/web/xbeach/ Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: Attribute values are model-derived extents of flood projections due to plausible sea-level rise and future storm conditions and therefore cannot be validated against observations. Logical_Consistency_Report: Data have undergone quality checks and meet standards. Completeness_Report: Dataset is considered complete for the information presented as described in the abstract. Users are advised to read the metadata record carefully for additional details. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Data are concurrent with topobathymetric DEM locations. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: Model-derived data are accurate within the flood potential layers (uncertainty bounds), indicative of total uncertainty from elevation data sources, model processes and contributing data, and vertical land motion. This value is spatially variable and dependent on scenario. All processes and methods are outlined in Storlazzi and others (2023); please refer to that for more information beyond the summary in this document. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: Tolman, H. L. Publication_Date: 1997 Title: User manual and system documentation of WAVEWATCH-III version 1.15. Geospatial_Data_Presentation_Form: NetCDF Publication_Information: Publication_Place: online Publisher: NOAA / NWS / NCEP / OMB Online_Linkage: https://polar.ncep.noaa.gov/mmab/papers/tn151/OMB_151.pdf Type_of_Source_Media: Digital Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 1997 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: WaveWatchIII Source_Contribution: WaveWatchIII wave climate parameters were used as input on the hybrid downscaling approach. Source_Information: Source_Citation: Citation_Information: Originator: Tolman, H. L., Publication_Date: 1999 Title: User manual and system documentation of WAVEWATCH-III version 1.18. Geospatial_Data_Presentation_Form: NetCDF Publication_Information: Publication_Place: online Publisher: NOAA / NWS / NCEP / OMB Online_Linkage: https://polar.ncep.noaa.gov/mmab/papers/tn166/OMB_166.pdf Type_of_Source_Media: Digital Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 1999 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: WaveWatchIII Source_Contribution: WaveWatchIII wave climate parameters were used as input on the hybrid downscaling approach. Source_Information: Source_Citation: Citation_Information: Originator: Tolman, H. L., Publication_Date: 2009 Title: User manual and system documentation of WAVEWATCH III version 3.14. Geospatial_Data_Presentation_Form: NetCDF Publication_Information: Publication_Place: online Publisher: NOAA / NWS / NCEP / OMB Online_Linkage: https://polar.ncep.noaa.gov/mmab/papers/tn276/MMAB_276.pdf Type_of_Source_Media: Digital Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2009 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: WaveWatchIII Source_Contribution: WaveWatchIII wave climate parameters were used as input on the hybrid downscaling approach. Source_Information: Source_Citation: Citation_Information: Originator: Muis, S. Originator: Verlaan, M. Originator: Winsemius, H.C. Originator: Aerts, J. Originator: Ward, P.J. Publication_Date: 2016 Title: A global reanalysis of storm surge and extreme sea levels. Geospatial_Data_Presentation_Form: NetCDF Publication_Information: Publication_Place: online Publisher: Nature Communications Online_Linkage: https://www.nature.com/articles/ncomms11969 Type_of_Source_Media: Digital Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2016 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: GTSM Source_Contribution: The nearest GTSM output point was fit to a General Pareto Distribution (GPD), selecting the maxima using the peak exceedances over a threshold method. The latter was done to calculate the annual (1-year), 20-year, and 100-year storm return period extreme water levels for each location. Source_Information: Source_Citation: Citation_Information: Originator: Muis, S. Originator: Apecechea, M.I. Originator: Dullaart, J. Originator: de Lima Rego, J. Originator: Madsen, K.S. Originator: Su, J. Originator: Yan, K. Originator: Verlaan, M. Publication_Date: 2020 Title: A high-resolution global dataset of extreme sea levels, tides, and storm surges, including future projections. Geospatial_Data_Presentation_Form: NetDCF Publication_Information: Publication_Place: online Publisher: Frontiers in Marine Science Online_Linkage: https://www.frontiersin.org/articles/10.3389/fmars.2020.00263/full Type_of_Source_Media: Digital Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2020 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: GTSM Source_Contribution: The nearest GTSM output point was fit to a General Pareto Distribution (GPD), selecting the maxima using the peak exceedances over a threshold method. The latter was done to calculate the annual (1-year), 20-year, and 100-year storm return period extreme water levels for each location. Source_Information: Source_Citation: Citation_Information: Originator: Muis, S. Originator: Apecechea, M. Originator: Álvarez, J. Originator: Verlaan, M. Originator: Yan, K. Originator: Dullaart, J. Originator: Aerts, J. Originator: Duong, T. Originator: Ranasinghe, R. Originator: Erikson, L. Originator: O'Neill, A. Originator: Duong, T. Originator: le Bars, D. Originator: Haarsma, R. Originator: Roberts, M. Publication_Date: 2022 Title: Global water level change indicators from 1950 to 2050 derived from HighRes CMIP6 climate projections Geospatial_Data_Presentation_Form: NetCDF Publication_Information: Publication_Place: online Publisher: Copernicus Climate Change Service Climate Data Store Online_Linkage: https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-water-level-change-indicators-cmip6?tab=overview Type_of_Source_Media: digital Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2022 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: GTSM Source_Contribution: Source_Contribution: The nearest GTSM output point was fit to a General Pareto Distribution (GPD), selecting the maxima using the peak exceedances over a threshold method. The latter was done to calculate the annual (1-year), 20-year, and 100-year storm return period extreme water levels for each location. Process_Step: Process_Description: All processes and methods are outlined in Storlazzi and others (2023); please refer to that for more information beyond the summary in this document Source_Used_Citation_Abbreviation: Storlazzi and others 2023 Process_Date: 2023 Process_Step: Process_Description: All processes and methods are outlined in Storlazzi and others (2023); please refer to that for more information beyond the summary in this document Source_Used_Citation_Abbreviation: Storlazzi and others 2023 Process_Date: 2023 Process_Step: Process_Description: Hindcasted and forecasted deep-water wave data from WaveWatchIII (Tolman 1997, 1999, 2009) simulations forced from four Intergovernmental Panel on Climate Change (IPCC; https://www.ipcc.ch/) Couple Model Intercomparison Project, Phase 6 (CMIP6; https://www.wcrp-climate.org/wgcm-cmip/wgcm-cmip6) global climate models (GCMs) were produced for 31 years (2020-2050) by Erikson and others (2022) for the Hawaiian, Mariana, and American Samoan Islands. Source_Used_Citation_Abbreviation: WaveWatchIII Process_Date: 20211001 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Borja Reguero Contact_Organization: UCSC Contact_Position: Associate Research Professor Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: Breguero@ucsc.edu Process_Step: Process_Description: Hindcasted and forecasted tide and storm surge data from GTSM (Verlaan and others, 2015; Muis and others, 2016, 2020) simulations were forced using the same four GCMs for the same 31 years (2020-2050) by Muis and others (2022) for the Hawaiian, Mariana, and American Samoan Islands. Source_Used_Citation_Abbreviation: GTSM Process_Date: 20210401 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Borja Reguero Contact_Organization: UCSC Contact_Position: Associate Research Professor Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: Breguero@ucsc.edu Process_Step: Process_Description: Following the methodology of Camus and others (2011) the offshore wave climate data were synthesized into 999 combinations of sea states (wave height, wave periods, and wave directions) that best represented the range of conditions from the Erikson and others (2022) database. Source_Used_Citation_Abbreviation: GTSM Process_Date: 20210501 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Borja Reguero Contact_Organization: UCSC Contact_Position: Associate Research Professor Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: Breguero@ucsc.edu Process_Step: Process_Description: The 999 selected sea states were propagated to the coast using the physics-based Simulating Waves Nearshore (SWAN) spectral wave model (Booij and others, 1999; Ris and others, 1999; SWAN, 2016), which simulates wave transformations nearshore by solving the spectral action balance equation. Source_Used_Citation_Abbreviation: SWAN Process_Date: 20210515 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Borja Reguero Contact_Organization: UCSC Contact_Position: Associate Research Professor Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: Breguero@ucsc.edu Process_Step: Process_Description: The propagated 999 shallow-water wave conditions were extracted at 100-m intervals along the coastline, at a water depth of 30 m, and then reconstructed into hourly time series using multidimensional interpolation techniques (Camus and others, 2011). Source_Used_Citation_Abbreviation: Camus et. Al Process_Date: 20210715 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Borja Reguero Contact_Organization: UCSC Contact_Position: Associate Research Professor Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: Breguero@ucsc.edu Process_Step: Process_Description: Benthic habitat maps defining coral reef spatial extent and percent coral cover were used to delineate the location of nearshore coral reefs and their relative coral abundance along the reef-lined shorelines. Source_Used_Citation_Abbreviation: USGS Process_Date: 20210301 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Borja Reguero Contact_Organization: UCSC Contact_Position: Associate Research Professor Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: Breguero@ucsc.edu Process_Step: Process_Description: The nearshore wave time series (hourly data from 2020 to 2050) were fit to a General Pareto Distribution (GPD) selecting the maxima using the peak exceedances over a threshold method, to obtain the significant wave heights associated with the annual (1-year), 20-year, and 100-year storm return periods. Given the differences between GCMs, the GPDs for each GCM were adjusted using a common, unique threshold, which was obtained as the minimum threshold obtained for each extreme value model estimated for each GCM individually. The results correspond to the ensemble, as the mean value for each return period. The corresponding annual (1-year), 20-year, and 100-year storm return period extreme water levels for the location were calculated similarly, from the nearest GTSM output point. Source_Used_Citation_Abbreviation: GCM, GTSM Process_Date: 20211001 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Borja Reguero Contact_Organization: UCSC Contact_Position: Associate Research Professor Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: Breguero@ucsc.edu Process_Step: Process_Description: The return value significant wave heights and associated peak periods, estimated through a linear regression on the wave time series from SWAN, were then propagated over the coral reefs with corresponding return value sea levels from GTSM along the 100-m spaced shore-normal transects using the numerical model XBeach (Roelvink and others, 2009; XBeach, 2016). XBeach generated forcing wave time series for each modeled storm return period, which were reused as inputs for modeling six sea-level rise scenarios (+0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise) under the same return period. Source_Used_Citation_Abbreviation: SWAN, XBeach Process_Date: 20220401 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Camila Gaido Contact_Organization: UCSC Contact_Position: Coastal Modeler Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: cgaido@ucsc.edu Process_Step: Process_Description: XBeach outputs, extracted at the 0.5 m depth, were used to calculate water level and infragravity waves time series used to force SFINCS. SFINCS is a super-fast flooding model that dynamically calculates two-dimensional compound flooding maps in coastal areas (Leijnse and others, 2021). In this project, SFINCS was coupled with XBeach to compute two-dimensional flood maps for all the islands, storm return periods, and sea-level rise scenarios. Source_Used_Citation_Abbreviation: SFINCS Process_Date: 20220801 Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Camila Gaido Contact_Organization: UCSC Contact_Position: Coastal Modeler Contact_Address: Address_Type: mailing and physical Address: 115 McAllister Way City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-459-1459 Contact_Electronic_Mail_Address: cgaido@ucsc.edu Process_Step: Process_Description: All originating rasters for each data layer were imported into ArcMap and converted from netCDF (.nc) to raster (.tif) files. These outputs were clipped to fit the land area of each island. The geoTIFFs were exported as shapefiles from ArcMap for all combinations of seven sea-level rise scenarios (0, 0.25, 0.5, 1.0, 1.5, 2.0 and 3.0 m), 3 storms (1-year, 20-year, and 100-year return period coastal events) for a total of 21 scenarios. Final shapefiles were separated by island (Projections_FloodExtents_*Island*.zip) for file-size considerations. Shapefiles are further organized by storm scenario return period ('RP'). Process_Date: 20230103 Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: Vector Point_and_Vector_Object_Information: SDTS_Terms_Description: SDTS_Point_and_Vector_Object_Type: GT-polygon composed of chains Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Geographic: Latitude_Resolution: 0.000000001 Longitude_Resolution: 0.000000001 Geographic_Coordinate_Units: Decimal Degrees Geodetic_Model: Horizontal_Datum_Name: D_WGS_1984 Ellipsoid_Name: WGS_1984 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257223563 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: [Island]_wd_[sea-level rise scenario]_[RP]_E.shp Entity_Type_Definition: shapefiles consisting of the sea-level rise and storm return period scenario for Guam and Sapian. Entity_Type_Definition_Source: Producer defined Attribute: Attribute_Label: FID Attribute_Definition: Object ID Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: automatically generated unique identifiers Attribute: Attribute_Label: gridcode Attribute_Definition: grid ID Attribute_Definition_Source: producer defined Attribute_Domain_Values: Unrepresentable_Domain: automatically generated unique identifiers Attribute: Attribute_Label: Shape Attribute_Definition: feature type Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: automatically generated unique identifiers Overview_Description: Entity_and_Attribute_Overview: shapefiles contained in this part of the data release include projected flood extents in the following format [Island]_wd_[sea-level rise scenario]_[RP]_E.shp, where [SLR scenario] = one of the 7 sea-level rise scenarios modeled (000cm, 025cm, 050cm, 100cm, 150cm, 200cm, 300cm), and [RP] = one of the following storm return periods (001, 020, 100) Storm scenario return periods cover once-a-year on average storms (001), every 20 years on average (020) and every 100 years on average (100) storms. Files are grouped by island, containing all sea-level rise scenarios, RP and output files. For example, Projections_Floodextents_Guam.zip, contains all outputs for Guam, within which Guam_wd_SLR300_100_E.shp illustrates the flood extents for a sea-level rise of 300 cm (3 m) during a 100-year storm. Entity_and_Attribute_Detail_Citation: 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: Denver Federal Center, Building 810, Mail Stop 302 City: Denver State_or_Province: CO Postal_Code: 80225 Contact_Voice_Telephone: 1-888-275-8747 Contact_Electronic_Mail_Address: sciencebase@usgs.gov Resource_Description: These data are available as zip files by island for which [Projections_FloodExtent_*ISLAND*.zip] is the filename, where *ISLAND* could be Guam or Sapian. 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: Shapefile Format_Version_Number: ArcGIS 10.8.1 Format_Specification: Esri polygon shapefile Format_Information_Content: Zip files contain the flood extent polygons shapefiles for Guam and Saipan in the Mariana Islands. File_Decompression_Technique: WinZip Transfer_Size: 3.55838 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/64821e5ad34eac007b580e11 Network_Resource_Name: https://www.sciencebase.gov/catalog/item/64821e5ad34eac007b580e11 Network_Resource_Name: https://www.sciencebase.gov/catalog/item/64821e1dd34eac007b580e0b Network_Resource_Name: https://doi.org/10.5066/P9RIQ7S7 Access_Instructions: Data can be downloaded using the Network_Resource_Name links. The first link is a direct link to download the zipped file of data and metadata for for Guam and Saipan in the Mariana Islands. The second link points to a landing page with links to the metadata and flood extent data. For Guam and Saipan. The third link points to the landing page for the flood depth and flood extent data for Guam and Saipan. The fourth link points to the landing page for the entire data release. Fees: None. Technical_Prerequisites: These data can be viewed with ArcGIS or other spatial analysis software. Metadata_Reference_Information: Metadata_Date: 20240130 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey, Pacific Coastal and Marine Science Center Contact_Person: PCMSC Science Data Coordinator Contact_Address: Address_Type: mailing and physical Address: 2885 Mission Street City: Santa Cruz State_or_Province: CA Postal_Code: 95060 Contact_Voice_Telephone: 831-427-4747 Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998