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Dataset Overview | National Centers for Environmental Information (NCEI)

NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Simulated Storm Surge (NCEI Accession 0170339)

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This dataset contains simulated storm surge results for the northern Gulf of Mexico (Mississippi, Alabama, and the Florida panhandle) using a high-resolution SWAN+ADCIRC model (Bilskie, 2016b). The modeling approach incorporates dynamic processes including salt marsh evolution, shoreline and dune height change, land use land cover, as well as sea level rise, for the year 2100. This modeling effort permits more robust and realistic results than using a static, or ‘bathtub,’ approach (Passeri et al., 2015). The outcome is a better understanding of the storm surge generating mechanisms and interactions among hurricane characteristics and the Northern Gulf of Mexico’s geophysical configuration.

There are two broad categories of storm surge model results from the Ecological Effects of Sea Level Rise Northern Gulf of Mexico (EESLR-NGOM) project: 1) Storm Surge by Storm [29 GB total file size, 500 files (unzipped)] and 2) Storm Surge Maximum of Maximums (MOMs) [13 GB total file size, 50 files (unzipped)]. The datasets contain both water surface elevation and inundation depth above ground as model outputs. Each storm surge model output, described below, is provided for the following 5 sea level rise scenarios (Parris et al. 2012): Initial Condition (c. 2000) (no change from c. 2000 mean sea level (MSL)), Low (+0.2m from MSL), Intermediate-Low (+0.5m from MSL), Intermediate-High (+1.2m from MSL), and High (+2.0m from MSL).
  • Cite as: Bilskie, Matthew V.; Hagen, Scott C.; Medeiros, Stephen; Kidwell, David; Buckel, Christine; Passeri, Davina; Alizad, Karim (2018). NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Simulated Storm Surge (NCEI Accession 0170339). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v5fq9tvx. Accessed [date].
  • Please refer to Credit tab for full citation information.
gov.noaa.nodc:0170339
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Distribution Formats
  • Originator data format
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Distributor NOAA National Centers for Environmental Information
+1-301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact NOAA National Centers for Environmental Information
ncei.info@noaa.gov
Time Period 2010-09-01 to 2017-08-31
Spatial Bounding Box Coordinates
West: -89.787743
East: -83.761552
South: 29.344756
North: 31.140702
Spatial Coverage Map
General Documentation
Associated Resources
Publication Dates
  • publication: 2018-02-06
Data Presentation Form Digital table - digital representation of facts or figures systematically displayed, especially in columns
Dataset Progress Status Complete - production of the data has been completed
Historical archive - data has been stored in an offline storage facility
Data Update Frequency As needed
Supplemental Information
Submission Package ID: 67DWMD
Purpose Data in this archive package are the result of the Ecological Effects of Sea Level Rise (EESLR) in the northern Gulf of Mexico (NGOM) project. The EESLR-NGOM project is an integrated field observation and modeling project that provides resource managers in the northern Gulf of Mexico with the knowledge and tools to prepare for the impacts of astronomic tides and hurricane storm surge from sea level rise. This multidisciplinary project, led by Louisiana State University, builds on laboratory experiments and field observations and experiments at three National Estuarine Research Reserves (NERRs) -- Grand Bay, MS, Weeks Bay, AL, and Apalachicola, FL -- to inform a suite of predictive models using a scenario-based modeling framework. These model projections are based on a number of carbon emission scenarios defined in Parris et al. (2012). Three different archival packages contain data resulting from the EESLR-NGOM project: 1) Storm surge, including water surface elevation and inundation depth above ground data for both simulated storm surge and maximum of maximums (MOMs) for ten modeled historic storms; 2) Stillwater storm surge (1% and 0.2% annual chance occurrence probability) water surface elevation and inundation depth above ground within three study areas across the NGOM; 3) Salt marsh productivity and mean high water, using the Hydro-MEM model. Search for EESLR-NGOM or see the additional documents referenced at the NCEI archive page for links.
Use Limitations
  • accessLevel: Public
  • Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives.
Dataset Citation
  • Cite as: Bilskie, Matthew V.; Hagen, Scott C.; Medeiros, Stephen; Kidwell, David; Buckel, Christine; Passeri, Davina; Alizad, Karim (2018). NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Simulated Storm Surge (NCEI Accession 0170339). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v5fq9tvx. Accessed [date].
  • Publications using this dataset should also cite the following journal article: Bilskie, M. V., Hagen, S. C., Alizad, K., Medeiros, S. C., Passeri, D. L., Needham, H. F. and Cox, A. (2016), Dynamic simulation and numerical analysis of hurricane storm surge under sea level rise with geomorphologic changes along the northern Gulf of Mexico. Earth's Future, 4(5), 177–193.
Cited Authors
Principal Investigators
  • Scott Hagen
    Louisiana State University (LSU); Department of Civil & Environmental; Center for Computation and Technology; Center for Coastal Resiliency; Baton Rouge, LA
  • Matthew Bilskie
    Louisiana State University (LSU); Center for Coastal Resiliency; Baton Rouge, LA
Collaborators
Contributors
Resource Providers
Points of Contact
  • Scott Hagen
    Louisiana State University (LSU); Department of Civil & Environmental; Center for Computation and Technology; Center for Coastal Resiliency; Baton Rouge, LA
Publishers
Acknowledgments
  • Related Funding Agency: NOAA National Centers for Coastal Ocean Science
  • Related Funding Agency: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science; Center for Sponsored Coastal Ocean Research (CSCOR)
  • Related Funding Agency: Northwest Florida Water Management District
  • Related Funding Agency: National Science Foundation (NSF) Extreme Science and Engineering Discovery Environment (XSEDE)
  • Related Funding Agency: Louisiana State University High Performance Computing (LSU HPC)
  • Related Funding Agency: Louisiana Optical Network Initiative (LONI)
Theme keywords NODC DATA TYPES THESAURUS NODC OBSERVATION TYPES THESAURUS WMO_CategoryCode
  • oceanography
Global Change Master Directory (GCMD) Science Keywords NCCOS Keywords
  • NCCOS Research Data Type > Derived Data Product
  • NCCOS Research Data Type > Geospatial
  • NCCOS Research Data Type > Model
  • NCCOS Research Priority > Coastal Change: Vulnerability, Mitigation, and Restoration
  • NCCOS Research Topic > Climate Impacts on Ecosystems
Provider Keywords
  • Environmental Modeling
  • SLR
  • inundation
  • sea level rise
  • storm surge
  • water surface elevation
Data Center keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS Global Change Master Directory (GCMD) Data Center Keywords
Place keywords NODC SEA AREA NAMES THESAURUS Global Change Master Directory (GCMD) Location Keywords NCCOS Place Keywords
  • NCCOS Research Location > Region > Gulf of Mexico
  • NCCOS Research Location > U.S. States and Territories > Alabama
  • NCCOS Research Location > U.S. States and Territories > Florida
  • NCCOS Research Location > U.S. States and Territories > Mississippi
Provider Place Names
  • Apalachicola National Estuarine Research Reserve
  • Grand Bay National Estuarine Research Reserve
  • Weeks Bay National Estuarine Research Reserve
Project keywords Provider Project Names
  • EESLR
  • Ecological Effects of Sea Level Rise
  • NCCOS Project 162
  • Predicting Impacts of Sea Level Rise in the Northern Gulf of Mexico
Keywords NCEI ACCESSION NUMBER
Use Constraints
  • Cite as: Bilskie, Matthew V.; Hagen, Scott C.; Medeiros, Stephen; Kidwell, David; Buckel, Christine; Passeri, Davina; Alizad, Karim (2018). NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Simulated Storm Surge (NCEI Accession 0170339). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v5fq9tvx. Accessed [date].
  • Publications using this dataset should also cite the following journal article: Bilskie, M. V., Hagen, S. C., Alizad, K., Medeiros, S. C., Passeri, D. L., Needham, H. F. and Cox, A. (2016), Dynamic simulation and numerical analysis of hurricane storm surge under sea level rise with geomorphologic changes along the northern Gulf of Mexico. Earth's Future, 4(5), 177–193.
Access Constraints
  • Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Fees
  • In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
Lineage information for: dataset
Processing Steps
  • 2018-02-06T15:13:52Z - NCEI Accession 0170339 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Storm Surge (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: The dataset describes the simulated storm surge from the 10 historic hurricane events and the aggregated maximum storm surge for water surface elevation (elevation above NAVD88) and inundation depth (amount of water inundation above the ground taking into account the elevation of the land). For a complete description of the methods see references.; Data Quality Method: Storm surge by storm and storm surge maximum of maximum calculations were reviewed and accepted by subject matter experts. Processing and analysis methods are described in the reference publications..
  • Parameter or Variable: NCCOS Keywords (calculated); Units: n/a; Observation Category: other; Sampling Instrument: n/a; Data Quality Method: NCCOS Research Priority > Coastal Change: Vulnerability, Mitigation, and Restoration## NCCOS Research Topic > Climate Impacts on Ecosystems## NCCOS Research Location > Region > Gulf of Mexico ## NCCOS Research Location > U.S. States and Territories > Florida## NCCOS Research Location > U.S. States and Territories > Alabama## NCCOS Research Location > U.S. States and Territories > Mississippi## NCCOS Research Data Type > Geospatial## NCCOS Research Data Type > Model## NCCOS Research Data Type > Derived Data Product##.
  • Parameter or Variable: Scientific Keywords (calculated); Units: n/a; Observation Category: other; Sampling Instrument: n/a; Data Quality Method: sea level rise## SLR## storm surge## inundation## water surface elevation## EESLR## NGOM##.
  • Parameter or Variable: GCMD Keywords (calculated); Units: n/a; Observation Category: other; Sampling Instrument: n/a; Data Quality Method: Earth Science:## Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Level Rise > Inundation > Earth Science > Climate Indicators > Atmospheric/Ocean Indicators > Sea Level Rise > > Earth Science > Oceans > Ocean Waves > Storm Surge > > Location:## Ocean > Atlantic Ocean > North Atlantic Ocean > Gulf Of Mexico > ##.
Last Modified: 2024-04-10T23:31:48Z
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