Projections of coastal flood velocities for Whatcom County, Northwest Washington State coast (2015-2100)

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Metadata:

Identification_Information
Data_Quality_Information
Spatial_Data_Organization_Information
Spatial_Reference_Information
Entity_and_Attribute_Information
Distribution_Information
Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Eric E. Grossman
Originator: Nathan R. vanArendonk
Originator: Sean C. Crosby
Originator: Babak Tehranirad
Originator: Kees Nederhoff
Originator: Kai A. Parker
Originator: Patrick L. Barnard
Originator: Li Erikson
Originator: Jeffrey J. Danielson
Publication_Date: 20240213
Title:

Projections of coastal flood velocities for Whatcom County, Northwest Washington State coast (2015-2100)

Geospatial_Data_Presentation_Form: geoTIFF
Series_Information:

Series_Name: data release
Issue_Identification: DOI:10.5066/P9I08NS5

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/P9I08NS5
Larger_Work_Citation:

Citation_Information:

Coastal hazards assessment associated with sea level rise and storms along the Whatcom County, Northwest Washington State coast

Series_Information:

Series_Name: data release
Issue_Identification: DOI:10.5066/P9I08NS5

Publication_Information:

Publication_Place: Pacific Coastal and Marine Science Center, Santa Cruz, CA
Publisher: U.S. Geological Survey

Other_Citation_Details:

Suggested Citation: Grossman, E.E., vanArendonk, N.R., Crosby, S.C., Tehranirad, B., Nederhoff, K., Barnard, P.L., Erikson, L., and Danielson, J.J., 2024, Coastal hazards assessment associated with sea level rise and storms along the Whatcom County, Northwest Washington State coast. U.S. Geological Survey data release, https://doi.org/10.5066/P9I08NS5.

Online_Linkage: https://doi.org/10.5066/P9I08NS5

Description:

Abstract:

Projected flood velocities associated with compound coastal flood hazards for future sea-level rise (SLR) and storm scenarios are provided for Whatcom County, Washington, in a series of raster geotiff files. Projections were made using a system of numerical models with atmospheric forcing, tides, sea level position and stream discharge driven by output from Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 5 (CMIP5). The resulting computed coastal flood velocities along the Whatcom County coast due to predicted sea level rise and future storm conditions consider the changing climate. In addition to sea-level rise, flood simulations run by these numerical models included dynamic contributions from tide, storm surge, wind, waves, and seasonal sea-level fluctuations. In the absence of concordant downscaled GCM stream discharge, daily average stream discharge was fed to the model. Outputs include flood velocities from the combinations of SLR scenarios (0, 0.25, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0 and 5.0 m) storm conditions including 1-year, 5-year, 10-year, 20-year, 50-year and 100-year return interval storms and a background condition (no storm - astronomic tide and average atmospheric conditions). Predicted flood velocities during the largest annual astronomic tides (King Tide) in combination with an average storm surge scenario are also provided.

Purpose:

These data are intended to support the information needs of policy makers, resource managers, science researchers, students, and the general public. These projections of flood velocities for future sea-level rise scenarios provide emergency responders and coastal planners with critical hazards information that can be used as a screening tool to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings. These data can be used with geographic information systems or other software to identify and assess possible areas of exposure to flooding and vulnerability. These data are not intended to be used for navigation.

Supplemental_Information:

This work is part of ongoing research and modeling efforts to evaluate hazards and inform planning for our Nation's coasts. For more information about the USGS Coastal Storm Modeling System (CoSMoS), see https://www.usgs.gov/centers/pcmsc/science/coastal-storm-modeling-system-cosmos. This work was funded by the City of Bellingham, Whatcom County, Port of Bellingham, City of Blaine, United States Environmental Protection Agency, and the United States Geological Survey. 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. 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:

Range_of_Dates/Times:

Beginning_Date: 2019
Ending_Date: 2023

Currentness_Reference: start of project work through publication year

Status:

Progress: Complete
Maintenance_and_Update_Frequency: None

Spatial_Domain:

Bounding_Coordinates:

West_Bounding_Coordinate: -123.11107
East_Bounding_Coordinate: -122.47924
North_Bounding_Coordinate: 49.04608
South_Bounding_Coordinate: 48.64034

Keywords:

Theme:

Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:56fe5270-0ce5-4d0a-813e-28749e3eb2e1

Theme:

Theme_Keyword_Thesaurus: Data Categories for Marine Planning
Theme_Keyword: Physical Habitats and Geomorphology

Theme:

Theme_Keyword_Thesaurus: Global Change Master Directory (GCMD)
Theme_Keyword: Hazards Planning
Theme_Keyword: Ocean Waves
Theme_Keyword: Ocean Winds
Theme_Keyword: Beaches
Theme_Keyword: Erosion
Theme_Keyword: Sea Level Rise
Theme_Keyword: Storm Surge
Theme_Keyword: Extreme Weather
Theme_Keyword: Floods
Theme_Keyword: Flood Velocity

Theme:

Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: Climate Change
Theme_Keyword: Storms
Theme_Keyword: Wind
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: ISO 19115 Topic Category
Theme_Keyword: Oceans
Theme_Keyword: climatologyMeteorologyAtmosphere

Theme:

Theme_Keyword_Thesaurus: Marine Realms Information Bank (MRIB) keywords
Theme_Keyword: sea level change
Theme_Keyword: waves
Theme_Keyword: floods
Theme_Keyword: coastal erosion

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

Place:

Place_Keyword_Thesaurus: Geographic Names Information System (GNIS)
Place_Keyword: Whatcom County
Place_Keyword: Bellingham
Place_Keyword: Blaine
Place_Keyword: State of Washington
Place_Keyword: Puget Sound
Place_Keyword: Salish Sea

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 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

Browse_Graphic:

Browse_Graphic_File_Name: modeling_extent.png
Browse_Graphic_File_Description: Map showing the study area modeled.
Browse_Graphic_File_Type: PNG

Data_Set_Credit:

This dataset was funded by the City of Bellingham, Whatcom County, Port of Bellingham, the City of Blaine, United States Environmental Protection Agency, and the United States Geological Survey.

Native_Data_Set_Environment: Matlab version 9.6 running on Microsoft Windows 10.
Cross_Reference:

Citation_Information:

Originator: Clifford F. Mass
Originator: Eric P. Salathe
Originator: Richard Steed
Originator: Jeffrey Baars
Publication_Date: 2022
Title:

The Mesoscale Response to Global Warming over the Pacific Northwest Evaluated Using a Regional Climate Model Ensemble

Other_Citation_Details:

Mass, C.F., Salathe, E.P., Steed, R., and Baars, J., 2022, The mesoscale response to global warming over the Pacific Northwest evaluated using a regional climate model ensemble: Journal of Climate, v. 35, p. 2035-2053.

Online_Linkage: https://doi.org/10.1175/JCLI-D-21-0061.1

Cross_Reference:

Citation_Information:

Originator: Yang Gao
Originator: Ruby L. Leung
Originator: Chun Zhao
Originator: Samson Hagos
Publication_Date: 2017
Title:

Sensitivity of U.S. summer precipitation to model resolution and convective parameterizations across gray zone resolutions

Other_Citation_Details:

Gao, Y., Leung, R.L., Zhao, C., and Hagos, S., 2017, Sensitivity of U.S. summer precipitation to model resolution and convective parameterizations across gray zone resolutions: Journal of Geophysical Research-Atmospheres, v. 122, p. 2714-2733.

Online_Linkage: https://doi.org/10.1002/2016JD025896

Cross_Reference:

Citation_Information:

Originator: Jon Dewitz
Publication_Date: 2021
Title:

National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021)

Other_Citation_Details:

Dewitz, J., and U.S. Geological Survey, 2021, National Land Cover Database (NLCD) 2019 Products (ver. 2.0, June 2021): U.S. Geological Survey data release, https://doi.org/10.5066/P9KZCM54

Online_Linkage: https://doi.org/10.5066/P9KZCM54.

Cross_Reference:

Citation_Information:

Originator: Tyler, D.J.
Originator: Danielson, J.J.
Originator: Grossman, E.E.
Originator: Hockenberry, R.J.
Publication_Date: 2020
Title: Topobathymetric Model of Puget Sound, Washington, 1887 to 2017
Other_Citation_Details:

Tyler, D.J., Danielson, J.J., Grossman, E.E., and Hockenberry, R.J., 2020, Topobathymetric model of Puget Sound, Washington, 1887 to 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P95N6CIT.

Online_Linkage: https://doi.org/10.5066/P95N6CIT

Cross_Reference:

Citation_Information:

Originator: Eric E Grossman
Originator: Babak Tehranirad
Originator: Kees Nederhoff
Originator: Sean Crosby
Originator: Andrew W Stevens
Originator: Nathan R VanArendonk
Originator: Daniel Nowacki
Originator: Li Erikson
Originator: Patrick Barnard
Publication_Date: 2023
Title:

Modeling extreme water levels in the Salish Sea: A new method for estimating sea level anomalies for application in hydrodynamic simulations

Other_Citation_Details:

Grossman, E.E., Tehranirad, B., Nederhoff, C.M., Crosby, S.C., Stevens, A.W., Van Arendonk, N.R., Nowacki, D.J., Erikson, L.H., Barnard, P.L. Modeling Extreme Water Levels in the Salish Sea: The Importance of Including Remote Sea Level Anomalies for Application in Hydrodynamic Simulations. Water 2023, 15, 4167. https://doi.org/10.3390/w15234167.

Online_Linkage: https://doi.org/10.3390/w15234167.

Cross_Reference:

Citation_Information:

Originator: Tim Leijnse
Originator: Kees Nederhoff
Originator: A. van Dongeren
Originator: Robert McCall
Originator: Marten Van Ormondt
Publication_Date: 2020
Title:

Improving Computational Efficiency of Compound Flooding Simulations: the SFINCS Model with Subgrid Features, NH022-0006, 2020.

Other_Citation_Details:

Leijnse, T., Nederhoff, K., van Dongeren, A., McCall, R.T., Van Ormondt, M., 2020, Improving computational efficiency of compound flooding simulations: the SFINCS model with subgrid features: Abstract, AGU Fall Meeting, 2020, NH022-0006.

Cross_Reference:

Citation_Information:

Originator: Kees Nederhoff
Originator: Rohin Saleh
Originator: Babak Tehranirad
Originator: Liv Herdman
Originator: Li Erikson
Originator: Patrick L. Barnard
Originator: Mick van der Wegen
Publication_Date: 2021
Title:

Drivers of extreme water levels in a large, urban, high-energy coastal estuary. A case study of the San Francisco Bay

Other_Citation_Details:

Nederhoff, K., Saleh, R., Tehranirad, B., Herdman, L., Erikson, L., Barnard, P.L., and van der Wegen, M., 2021, Drivers of extreme water levels in a large, urban, high-energy coastal estuary. A case study of the San Francisco Bay: Coastal Engineering, v. 170, 103984, https://doi.org/10.1016/j.coastaleng.2021.103984.

Online_Linkage: https://doi.org/10.1016/j.coastaleng.2021.103984

Cross_Reference:

Citation_Information:

Originator: Sean C. Crosby
Originator: Kees Nederhoff
Originator: Nathan R. VanArendonk
Originator: Eric E. Grossman
Publication_Date: 2023
Title:

Efficient modeling of long-period wave propagation and short-period wind-wave generation: a comparison of several methods in a semi-enclosed estuary.

Other_Citation_Details:

Crosby, S. C., Nederhoff, K, vanArendonk, N. R., Grossman, E. E. 2023. Efficient modeling of long-period wave propagation and short-period wind-wave generation: a comparison of several methods in a semi-enclosed estuary, Journal of Ocean Modelling, https://doi.org/10.1016/j.ocemod.2023.102231.

Online_Linkage: https://doi.org/10.1016/j.ocemod.2023.102231

Cross_Reference:

Citation_Information:

Originator: Kees Nederhoff
Originator: Sean Crosby
Originator: Nathan van Arendonk
Originator: Eric Grossman
Originator: Babak Tehranirad
Originator: Tim Leijnse
Originator: Wouter Klessens
Originator: Patrick Barnard
Publication_Date: 2024
Title:

Dynamic Modeling of Coastal Compound Flooding Hazards Due to Tides, Extratropical Storms, Waves, and Sea-Level Rise: A Case Study in the Salish Sea, Washington (USA)

Other_Citation_Details:

Nederhoff, K.; Crosby, S.C.; Van Arendonk, N.R.; Grossman, E.E.; Tehranirad, B.; Leijnse, T.; Klessens, W.; Barnard, P.L. Dynamic Modeling of Coastal Compound Flooding Hazards Due to Tides, Extratropical Storms, Waves, and Sea-Level Rise: A Case Study in the Salish Sea, Washington (USA). Water 2024, 16, 346. https://doi.org/10.3390/w16020346.

Online_Linkage: https://doi.org/10.3390/w16020346:

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

Attribute values are model-derived flood velocities 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) and will be updated as necessary as improvements are developed. Users are advised to read the metadata record and cited references 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 published uncertainty bounds that are provided with a minimum and maximum flood velocities layer surrounding each best estimate for combined sea level and storm scenario. Error accounts for total uncertainty from elevation and other contributing data sources, model processes, and vertical land motion. This value is spatially variable and dependent on scenario. See Process Steps and other layers for details on total contributions to uncertainty.

Lineage:

Process_Step:

Process_Description:

Generated XBeach cross-shore transects every 50 m alongshore and spanning elevations of -6 m to +10 m (NAVD88) with constant grid spacing of 0.5 m to accommodate the region's short period waves. Transects were attributed with elevations derived from a seamless topographic and bathymetric digital elevation model (Tyler and others 2020). Example XBeach model transects are available elsewhere in this data release.

Process_Date: 20200115

Process_Step:

Process_Description:

Generated rectangular SFINCS model domains across the study area each with a maximum size of 100,000 cells. A total of 29 individual domains were created reflecting the 10 m cell size, although a higher model resolution of 1 m was accommodated by use of a subgrid lookup tables (Nederhoff and others, 2024). The SFINCS models included spatially varying Manning's n roughness coefficients following Nederhoff and others (2021) based on the USGS National Land Cover Database (Dewitz, 2021). Example SFINCS model domains are available elsewhere in this data release.

Process_Date: 20200215

Process_Step:

Process_Description:

Prepared atmospheric forcing data for input into the model system for the validation analyses (December 2018) sourced from the Canadian High-Resolution Deterministic Product System (HRDPS) model, the 34-year (1981-2015) hindcast based on a Weather Research and Forecasting reanalysis carried out by the Pacific Northwest National Laboratory (Gao and others, 2017) and the 85-yr (2015-2100) dynamically downscaled Geophysical Fluid Dynamics Laboratory (GFDL) CM3 model forecast for CMIP5 (CMIP5-GFDL-CM3) derived by Mass and others (2022).

Process_Date: 20200415

Process_Step:

Process_Description:

Prepared time series of tide and surge water levels from a regional Delft3D Flexible Mesh (Delft3D FM) model (Grossman and others, 2023), and waves from a regional wave model alongshore between the -5 and -10 m depth contour (Crosby and others, 2023).

Process_Date: 20200701

Process_Step:

Process_Description:

Computed wave transformation and wave runup using a novel XBeach based lookup table approach. XBeach was run with a subset of water levels and wave parameters at each transect location to develop a lookup table of nearshore wave parameters and wave setup as a function of offshore waves and water levels. The lookup table was then used to generate a timeseries of wave driven water levels in the nearshore at all SFINCS ocean boundaries.

Process_Date: 20201101

Process_Step:

Process_Description:

Generated a synthetic continuous 300-year record of water levels, winds and waves from the 85-yr GCM forecast in order to determine a reliable 1 in 100-year event (1 percent chance event) using empirical extreme value analysis. The synthetic record was created by randomly selecting a yearly NTR signal from the 85-year record and applying a uniform distribution shift from -1 to +1 days to the time axis to increase variability. Tides were generated from astronomical components computed from the tide-only model results (Nederhoff and others, 2024) assuming independence between the tides and surge and assuming meteorological and wave conditions to be completely correlated with NTR.

Process_Date: 20210301

Process_Step:

Process_Description:

Computed total water level along each XBeach transect using the regional Delft 3D FM model and wave parameter timeseries. Approximately 300 maximum water level events were found for the 300-year synthetic time-series with independent storm peaks de-clustered using a 3-day window.

Process_Date: 20210601

Process_Step:

Process_Description:

Simulated the combined influence of tide and surge, incoming waves, stream discharge and wind speed on flood velocities using SFINCS for the more than 300 annual maximum water level events derived from XBeach along with the daily average and King Tide condition (Nederhoff and others, 2024). Simulated all storm and sea level rise combinations with 0.5 m lower and higher stillwater level inputs to SFINCS representing uncertainty to produce a minimum and maximum potential flood velocities for each primary RP and SLR scenario.

Process_Date: 20210901

Process_Step:

Process_Description:

Computed extreme recurrence values for flood velocities cell by cell for each SFINCS domain based on the more than 300 simulations based on an empirical frequency of exceedance without fitting an extreme value distribution.

Process_Date: 20211201

Process_Step:

Process_Description:

Merged flood velocity outputs for the multiple individual domains into single county-wide raster for all combinations of 9 SLR scenarios (0, 0.25, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0 and 5.0 m), 8 storms (1-year, 5-year, 10-year, 20-year, 50-year and 100-year return period coastal events), the non-storm and King Tide condition (for a total of 72 scenarios). The overland flood velocity outputs including uncertainty layers were subsequently downscaled using subgrid tables (Leijnse and others, 2020) in combination with a box filter for smoothing. Overlapping domains were merged using an average and water depths less than 5 cm were designated as dry. Final geoTIFFs are organized by SLR amount (SLR).

Process_Date: 20220115

Spatial_Data_Organization_Information:

Direct_Spatial_Reference_Method: Raster
Raster_Object_Information:

Raster_Object_Type: Pixel
Row_Count: 46237
Column_Count: 45228

Spatial_Reference_Information:

Horizontal_Coordinate_System_Definition:

Planar:

Grid_Coordinate_System:

Grid_Coordinate_System_Name: Universal Transverse Mercator
Universal_Transverse_Mercator:

UTM_Zone_Number: 10
Transverse_Mercator:

Scale_Factor_at_Central_Meridian: 0.9996
Longitude_of_Central_Meridian: -123.00000
Latitude_of_Projection_Origin: 0.00000
False_Easting: 500000.0
False_Northing: 0.00

Planar_Coordinate_Information:

Planar_Coordinate_Encoding_Method: row and column
Coordinate_Representation:

Abscissa_Resolution: 10
Ordinate_Resolution: 10

Planar_Distance_Units: Meters

Geodetic_Model:

Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: GRS 1980
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257222101

Vertical_Coordinate_System_Definition:

Altitude_System_Definition:

Altitude_Datum_Name: North American Vertical Datum of 1988
Altitude_Resolution: 0.01
Altitude_Distance_Units: meters
Altitude_Encoding_Method:

Explicit elevation coordinate included with horizontal coordinates

Entity_and_Attribute_Information:

Detailed_Description:

Entity_Type:

Entity_Type_Label: flood velocity projections
Entity_Type_Definition: geoTIFF files contain projections of flood-hazard velocities
Entity_Type_Definition_Source: Producer defined

Attribute:

Attribute_Label: velocity
Attribute_Definition:

flood velocity over land surface associated with corresponding flood associated with sea-level rise (SLR) and return period (RP) indicated

Attribute_Definition_Source: model-derived
Attribute_Domain_Values:

Range_Domain:

Range_Domain_Minimum: 0.00
Range_Domain_Maximum: 2.50
Attribute_Units_of_Measure: meters per second
Attribute_Measurement_Resolution: 0.01

Overview_Description:

Entity_and_Attribute_Overview:

The data contain flood velocities (flow velocities of flood water over the land surface associated with coincident flood hazards). Return periods cover average conditions (RP0000), once-a-year storms (RP0001), every 5 (RP0005), every 10 (RP0010), every 20 (RP0020), every 50 (RP0050) and every 100 years (RP0100) storms, and a King tide scenario (RPKing). File names reflect the attribute (velocity), the area (county) of the projection (domain id, D1), the sea-level rise (SLR) scenario, and the return period (RP) of storm conditions. SLR scenarios are listed in centimeters and range from no SLR (SLR000) to a SLR of 500 cm (SLR500). For example, velocity_D1_SLR200_RP0100 contains the flood velocities for Whatcom County (D1) sea level rise of 200 cm (2 m) during a hundred-year storm. For each scenario, a minimum and maximum potential flood velocities representing the uncertainty of each paired RP and SLR scenario are included. Data are shown landward of current shoreline locations (not in open ocean) and are spatially consistent for coastal flood hazards of the same scenario.

Entity_and_Attribute_Detail_Citation: none

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: U.S. Geological Survey - CMGDS

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

Resource_Description:

This dataset consists of 18 zipped data files. There are two data files for each of 9 sea level rise scenarios; one containing the central estimate, the second containing the uncertainty layers. Each packaged output file contains all 8 storm recurrence events for the associated sea level rise scenario. The central estimate files are named velocity_<DomainID>_<SLRScenario>.zip and the uncertainty files are named velocity_<DomainID>_<SLRScenario>_uncertainty.zip where <DomainID> refers to the ID of each coastal county in Washington State following (D1=Whatcom, D2=Skagit, D3=Island, D4=Snohomish, D5=King; 6=Pierce, D7=Thurston, D8=Mason, D9=Kitsap, D10=Jefferson, D11=Clallum, D12=Grays Harbor, D13=Pacific, D14=Wahkiakum) and SLR scenario is defined as a number code in the form XXXX in centimeters (for example SLR0025 is SLR of 0.25m), and uncertainty serves the minimum and maximum estimates.

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_Information_Content:

Zip file contains the raster of flood velocities for each sea level rise scenario.

File_Decompression_Technique: No compression applied.
Transfer_Size: 5000

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://doi.org/10.5066/P9I08NS5
Network_Resource_Name:

https://www.sciencebase.gov/catalog/item/5633fea2e4b048076347f1cf

Access_Instructions:

Data and metadata can be downloaded using the first Network_Resource_Name link and scrolling down to the Simulation Data section. The second link points to the community landing page for the entire CoSMoS project.

Fees: None.

Technical_Prerequisites: These data can be viewed with GIS software.

Metadata_Reference_Information:

Metadata_Date: 20240213
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

This page is <https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/CMGDS_DR_tool/DR_P9I08NS5/velocity_D1_CoSMoS_WA_metadata.html>