Projected flood water depths on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: Curt D. Storlazzi
Originator: Theresa A. Fregoso
Publication_Date: 2018
Title:
Projected flood water depths on Roi-Namur, Kwajalein Atoll, Republic of the Marshall Islands
Geospatial_Data_Presentation_Form: GeoTIFF
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/F7VD6XDB
Publication_Information:
Publication_Place:
Pacific Coastal and Marine Science Center, Santa Cruz, California
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F7VD6XDB
Online_Linkage:
Description:
Abstract:
Projected future wave-driven flooding depths on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands for a range of climate-change scenarios.
This study utilized field data to calibrate oceanographic and hydrogeologic models, which were then used with climate-change and sea-level rise projections to explore the effects of sea-level rise and wave-driven flooding on atoll islands and their freshwater resources. The overall objective of this effort, due to the large uncertainty in future emissions (and thus climate change scenarios) that is largely irreducible, was to reduce risk and increase island resiliency by providing model simulations across a range of plausible future conditions. This effort focuses on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands (RMI). RMI is home to more than 1,100 low-lying islands on 29 atolls, yet the approach and findings presented in this study can serve as a proxy for atolls around the world, most of which have a similar morphology and structure, including on average, even lower land elevations, and are the home for numerous island nations and hundreds of thousands of people.
The primary goal of this investigation was to determine the influence of climate change and sea-level rise on wave-driven flooding and the resulting impacts to infrastructure and freshwater resources on atoll islands. First, we mapped the morphology and benthic habitats of the atoll to determine the influence of spatially-varying bathymetric structure and hydrodynamic roughness on wave propagation over the coral reefs that make up the atoll. Second, we analyzed historic meteorologic and oceanographic data to provide historical context for the limited in-situ data and comparison to previous seawater overwash and flooding events. These data were then used to calibrate and validate physics-based, dynamically-downscaled numerical models to project future atmospheric and oceanic forcing for a range of climate-change scenarios. Third, we made in-situ observations to better understand how changes in meteorologic and oceanographic forcing controlled wave-driven water levels, seawater flooding of the island, and the resulting hydrogeologic response. We then used those data to calibrate and validate a physics-based, numerical hydrodynamic model of the island. The hydrodynamic model was used to forecast future wave-driven island overwash and seawater flooding for a range of climate-change and SLR scenarios. The data provided here are the seawater flooding depths for three Intergovernmental Panel on Climate Change (IPCC) AR5 climate-change scenarios: Representative Concentration Pathways (RCP)4.5 and RCP8.5, representing medium and high greenhouse concentration trajectory scenarios, respectively, and RCP8.5 plus icesheet collapse (RCP8.5i). The climate-change scenarios were incorporated into the model by increasing mean sea level based on the future sea-level rise and wave projections. The modeled time frame ranged from 2035 to 2105 at 10-yr time steps.
These data accompany the following publication: Storlazzi, C.D., Gingerich, S.B., van Dongeren, A., Cheriton, O.M., Swarzenski, P.W., Quataert, E., Voss, C.I., Field D.W., Annamalai, H., Piniak G.A., McCall, R., 2018, Most atolls will be uninhabitable by the mid-21st century due to sea-level rise exacerbating wave-driven flooding, Science Advances, https://doi.org/10.1126/sciadv.aap9741.
Purpose:
The U.S. Geological Survey (USGS), National Oceanographic and Atmospheric Administration (NOAA), Deltares, and University of Hawaii (UH) conducted a study to provide basic understanding and specific information on the impact of climate change and sea-level rise on Roi-Namur Island on Kwajalein Atoll in the Republic of the Marshall Islands, which is part of the Ronald Reagan Ballistic Missile Test Site. The primary goal of this joint investigation was to determine the influence of climate change and sea-level rise on wave-driven flooding and the resulting impacts to infrastructure and freshwater resources on atoll islands.
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 data set 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:
Single_Date/Time:
Calendar_Date: 2018
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Irregular
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: 167.452484
East_Bounding_Coordinate: 167.483303
North_Bounding_Coordinate: 9.411218
South_Bounding_Coordinate: 9.389429
Keywords:
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:59ef8172e4b0220bbd98d40f
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: Elevation
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: predictions
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: floods
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: coral reefs
Theme_Keyword: reef
Theme_Keyword: waves
Theme_Keyword: flooding
Theme_Keyword: coastal processes
Theme_Keyword: numerical modeling
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: Pacific Coastal and Marine Science Center
Theme_Keyword: PCMSC
Place:
Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: Roi-Namur
Place_Keyword: Kwajalein
Place_Keyword: Marshall Islands
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
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: 95060-5792
Country: US
Contact_Voice_Telephone: 831-427-4747
Contact_Electronic_Mail_Address: pcmsc_data@usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description:
Wave-driven flood water depth for RCP scenario 85+ice sheet collapse, year 2105.
Browse_Graphic_File_Type: JPEG
Native_Data_Set_Environment:
Environment as of Metadata Creation: Microsoft Windows 10 Version 10.0.143 (Build 14393); ESRI ArcGIS 10.5.0 (Build 6491)
Cross_Reference:
Citation_Information:
Originator: Curt D. Storlazzi
Originator: Stephen B. Gingerich
Originator: Ap van Dongeren
Originator: Olivia M. Cheriton
Originator: Peter W. Swarzenski
Originator: Ellen Quataert
Originator: Clifford I. Voss
Originator: Donald W. Field
Originator: Hariharasubramanian Annamalai
Originator: Greg A. Piniak
Originator: Robert McCall
Publication_Date: 2018
Title:
Most atolls will be uninhabitable by the mid-21st century due to sea-level rise exacerbating wave-driven flooding
Series_Information:
Series_Name: Journal article
Issue_Identification: Science Advances
Publication_Information:
Publication_Place: online
Publisher: American Academy for the Advancement of Science
Online_Linkage: https://doi.org/10.1126/sciadv.aap9741
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report: No formal attribute accuracy tests were conducted.
Logical_Consistency_Report: No formal logical accuracy tests were conducted.
Completeness_Report:
Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
A formal accuracy assessment of the horizontal positional information in the data set has not been conducted.
Vertical_Positional_Accuracy:
Vertical_Positional_Accuracy_Report:
A formal accuracy assessment of the vertical positional information in the data set has not been conducted.
Lineage:
Source_Information:
Source_Citation:
Citation_Information:
Originator: Deltares
Publication_Date: 2017
Title: 24 model output datasets from Deltares, unpublished
Geospatial_Data_Presentation_Form: xyz.csv
Publication_Information:
Publication_Place: Unpublished
Publisher: Unpublished
Type_of_Source_Media: model outputs
Source_Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2035
Ending_Date: 2105
Source_Currentness_Reference: modeled projection dates of data points
Source_Citation_Abbreviation: xyz file
Source_Contribution: modeled xyz file used to create raster surface
Process_Step:
Process_Description:
Convert xyz.csv file to points then a TIN. Convert TIN to Raster. Model Builder was used to batch convert 24 xyz.csv files to points using the ASCII 3D to feature class tool followed by the Create TIN tool. For the TIN, the height field was Z, with SF Type of Mass_points. Model Builder was used to batch convert TINS to rasters using the TIN to Raster tool. The output data type for the raster was FLOAT, the method LINEAR, and the Sampling Distance was CELLSIZE 0.5.
Source_Used_Citation_Abbreviation: xyz file
Process_Date: 2016
Process_Step:
Process_Description:
Removed empty tag and corrected minor typo in metadata file. No data were changed.
Process_Date: 20180629
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Susan A Cochran
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Position: Geologist
Contact_Address:
Address_Type: mailing and physical address
Address: 2885 Mission Street
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060-5792
Country: USA
Contact_Voice_Telephone: (831) 460-7545
Contact_Electronic_Mail_Address: scochran@usgs.gov
Process_Step:
Process_Description:
Corrected Point of Contact and Metadata Contact phone number prefix. No data were changed.
Process_Date: 20180905
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Susan A Cochran
Contact_Organization:
U.S. Geological Survey, Pacific Coastal and Marine Science Center
Contact_Address:
Address_Type: mailing and physical
Address: 2885 Mission St.
City: Santa Cruz
State_or_Province: CA
Postal_Code: 95060
Country: United States
Contact_Voice_Telephone: 831-460-7545
Contact_Electronic_Mail_Address: scochran@usgs.gov
Process_Step:
Process_Description:
Edited metadata to add keywords section with USGS persistent identifier as theme keyword. No data were changed.
Process_Date: 20201019
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: VeeAnn A. Cross
Contact_Position: Marine Geologist
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Contact_Voice_Telephone: 508-548-8700 x2251
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: vatnipp@usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:
Raster_Object_Type: Pixel
Row_Count: 4775
Column_Count: 6740
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Planar:
Grid_Coordinate_System:
Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:
UTM_Zone_Number: 58
Transverse_Mercator:
Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: 165.0
Latitude_of_Projection_Origin: 0.0
False_Easting: 500000.0
False_Northing: 0.0
Planar_Coordinate_Information:
Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:
Abscissa_Resolution: 0.5
Ordinate_Resolution: 0.5
Planar_Distance_Units: Meter
Geodetic_Model:
Horizontal_Datum_Name: D_WGS_1984
Ellipsoid_Name: WGS_1984
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257223563
Vertical_Coordinate_System_Definition:
Altitude_System_Definition:
Altitude_Datum_Name:
Mean Sea Level that was calculated using a temporary USGS water sensor located on a pier. See report for more detail.
Altitude_Resolution: 0.01
Altitude_Distance_Units: meters
Altitude_Encoding_Method:
Explicit elevation coordinate included with horizontal coordinates
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview: Water flood depth over island elevation.
Entity_and_Attribute_Detail_Citation: See report for more detail.
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 in GeoTIFF format contained in a single zip file (Roi_Namur_RCP_surfaces.zip) which also includes CSDGM FGDC-compliant metadata.
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: ArcGIS 10.5.0
Format_Information_Content:
Zip file contains the 24 different modeled scenarios for flood level depth and the associated metadata.
File_Decompression_Technique: WinZip
Transfer_Size: 2040
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
Data can be downloaded using the Network Resource links. The first link begins a direct download of this particular dataset. The second link goes to a landing page for the data release.
Fees: None.
Technical_Prerequisites: These data can be viewed with ArcGIS software.
Metadata_Reference_Information:
Metadata_Date: 20201019
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: 95060-5792
Country: US
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

This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_F7VD6XDB/Roi_Namur_RCP_surfaces_metadata.html>
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