NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Mean High Water and Salt Marsh Productivity (Hydro-MEM) (NCEI Accession 0170338)

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This dataset contains salt marsh productivity projections under different sea level rise scenarios for the northern Gulf of Mexico (Florida panhandle, Alabama, and Mississippi) using a coupled hydrodynamic-marsh model called Hydro-MEM (Alizad et al. 2016a and 2016b). The modeled outputs were derived through integrated modeling of tidal hydrodynamics (ADCIRC) and marsh productivity (Marsh Equilibrium Model, or MEM) that incorporates dynamic feedbacks among physical and biological processes. The Hydro-MEM model incorporates biological feedback by including the MEM accretion formulation, while also implementing a friction coefficient effect that varies between subtidal and intertidal states. The Hydro-MEM model is capable of capturing the biophysical feedback that modifies relative salt marsh elevation and the biological feedback on hydrodynamics (Alizad et al. 2016a).

There are two types of Hydro-MEM model outputs resulting from the Ecological Effects of Sea Level Rise Northern Gulf of Mexico (EESLR-NGOM) project: 1) Salt Marsh Productivity (Low/Medium/High) [202MB total file size, 919 files (unzipped)] and 2) Mean High Water [431 MB total file size, 137 files (unzipped)]. These outputs were generated for areas surrounding the following National Estuarine Research Reserves: Apalachicola (FL), Weeks Bay (AL), and Grand Bay (MS). Each Hydro-MEM model output, described above, is provided for incremental time steps (5 or 20Y) for the following 5 sea level rise scenarios (Parris et al. 2012): Initial Condition (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). Mean high water data are provided for each SLR scenario for two timesteps (2050 and 2100).
  • Cite as: Alizad, Karim; Hagen, Scott C.; Medeiros, Stephen C.; Morris, James T.; Weishampel, John F.; Bilskie, Matthew V.; Kidwell, David; Buckel, Christine; Passeri, Davina (2018). NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Mean High Water and Salt Marsh Productivity (Hydro-MEM) (NCEI Accession 0170338). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v5dr2srj. Accessed [date].
  • Please refer to Credit tab for full citation information.
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Distributor DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
301-713-3277
NCEI.Info@noaa.gov
Dataset Point of Contact Information Services
DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
301-713-3277
NCEI.Info@noaa.gov
Time Period 2010-09-01 to 2017-08-31
Spatial Bounding Box Coordinates
N: 30.541257
S: 29.588205
E: -84.55024
W: -88.593055
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: KF69RT
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: Alizad, Karim; Hagen, Scott C.; Medeiros, Stephen C.; Morris, James T.; Weishampel, John F.; Bilskie, Matthew V.; Kidwell, David; Buckel, Christine; Passeri, Davina (2018). NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Mean High Water and Salt Marsh Productivity (Hydro-MEM) (NCEI Accession 0170338). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v5dr2srj. Accessed [date].
  • Publications using this dataset should also cite the following journal article: Alizad, K., S.C. Hagen, J.T. Morris, P. Bacopoulos, M.V. Bilskie, and J.F. Weishampel. 2016. A coupled, two-dimensional hydrodynamic-marsh model with biological feedback. Ecological Modeling, 327:29-43. https://doi.org/10.1016/j.ecolmodel.2016.01.013
Cited Authors
  • Alizad, Karim
  • Hagen, Scott C.
  • Medeiros, Stephen C.
  • Morris, James T.
  • Weishampel, John F.
  • Bilskie, Matthew V.
  • Kidwell, David
  • Buckel, Christine
  • Passeri, Davina
Principal Investigators
  • Scott Hagen
    Louisiana State University (LSU); Department of Civil & Environmental; Center for Computation and Technology; Center for Coastal Resiliency; Baton Rouge, LA
  • Karim Alizad
    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: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
  • Related Funding Agency: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science; Center for Sponsored Coastal Ocean Research (CSCOR)
  • Related Funding Agency: University of Central Florida STOKES Advanced Research Computing Center (ARCC) Environment (XSEDE)
  • Related Funding Agency: National Science Foundation (NSF)
  • 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 and Service 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
  • SLR
  • biomass density
  • marsh productivity
  • mean high water
  • salt marsh
  • sea level rise
  • wetlands
Data Center keywords Global Change Master Directory (GCMD) Data Center Keywords NODC COLLECTING INSTITUTION NAMES THESAURUS NODC SUBMITTING INSTITUTION NAMES THESAURUS
Platform keywords Global Change Master Directory (GCMD) Platform Keywords
Instrument keywords Provider Instruments
  • Hydro-MEM
  • MEM
  • marsh equilibrium model
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
  • NGOM
  • Northern Gulf of Mexico
  • 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: Alizad, Karim; Hagen, Scott C.; Medeiros, Stephen C.; Morris, James T.; Weishampel, John F.; Bilskie, Matthew V.; Kidwell, David; Buckel, Christine; Passeri, Davina (2018). NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Mean High Water and Salt Marsh Productivity (Hydro-MEM) (NCEI Accession 0170338). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.7289/v5dr2srj. Accessed [date].
  • Publications using this dataset should also cite the following journal article: Alizad, K., S.C. Hagen, J.T. Morris, P. Bacopoulos, M.V. Bilskie, and J.F. Weishampel. 2016. A coupled, two-dimensional hydrodynamic-marsh model with biological feedback. Ecological Modeling, 327:29-43. https://doi.org/10.1016/j.ecolmodel.2016.01.013
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
  • 2018-02-06T15:16:52Z - NCEI Accession 0170338 v1.1 was published.
Output Datasets
Lineage information for: dataset
Processing Steps
  • Parameter or Variable: Categorical Marsh Productivity (calculated); Units: n/a; Observation Category: model output; Sampling Instrument: Models/Analyses > Data Analysis > Environmental Modeling; Sampling and Analyzing Method: The dataset describes salt marsh productivity and mean high water results for given time steps between 2000 and 2100 under the previously listed sea level rise scenarios. For a complete description of the methods see references.; Data Quality Method: Salt marsh productivity and mean high water 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## EESLR## NGOM## Hydro-MEM## salt marsh## wetlands## marsh equilibrium model## MEM## marsh productivity## biomass density## mean high water## hydrodynamics##.
  • 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 > > Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Coastal > Salt Marsh Earth Science > Biosphere > Ecosystems > Aquatic Ecosystems > Wetlands > Earth Science > Biosphere > Vegetation > Biomass > > Earth Science > Land Surface > Land Use/Land Cover > Land Productivity > > Location:## Ocean > Atlantic Ocean > North Atlantic Ocean > Gulf Of Mexico > ##.
Last Modified: 2020-02-21T03:55:32Z
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