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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            title:  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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        abstract:  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).
        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.
        credit:  Related Funding Agency: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
        credit:  Related Funding Agency: US DOC; NOAA; NOS; National Centers for Coastal Ocean Science; Center for Sponsored Coastal Ocean Research (CSCOR)
        credit:  Related Funding Agency: University of Central Florida STOKES Advanced Research Computing Center (ARCC) Environment (XSEDE)
        credit:  Related Funding Agency: National Science Foundation (NSF)
        credit:  Related Funding Agency: Louisiana State University High Performance Computing (LSU HPC)
        credit:  Related Funding Agency: Louisiana Optical Network Initiative (LONI)
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            otherConstraints:  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
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                            name:  Coastal Dynamics of Sea Level Rise: Hydro-MEM
                            description:  Story Map of the Model
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                title:  NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Simulated Storm Surge (NCEI Accession 0170339)
                date:  (CI_Date)
                    date:  2018-02-01
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                        title:  NCEI
                        date: (inapplicable)
                    code:  gov.noaa.nodc:0170339
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                            name:  NCEI Accession 0170339
                            description:  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
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                title:  NCCOS Ecological Effects of Sea Level Rise in the Northern Gulf of Mexico (EESLR-NGOM): Simulated Return Period Stillwater Elevation (NCEI Accession 0170340)
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                    date:  2018-02-01
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                            linkage: https://accession.nodc.noaa.gov/0170340
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                            name:  NCEI Accession 0170340
                            description:  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
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                    beginPosition:  2010-09-01
                    endPosition:  2017-08-31
        supplementalInformation:  Submission Package ID: KF69RT
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                  Anchor:  https://www.nodc.noaa.gov/cgi-bin/OAS/prd/institution/details/1730 DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce
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                        deliveryPoint:  Federal Building 151 Patton Avenue
                        city:  Asheville
                        administrativeArea:  NC
                        postalCode:  28801-5001
                        country:  USA
                        electronicMailAddress:  NCEI.Info@noaa.gov
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                fees:  Digital data may be downloaded from NCEI at no charge in most cases. For custom orders of digital data or to obtain a copy of analog materials, please contact NCEI Information Services for information about current fees.
                orderingInstructions:  Data may be searched and downloaded using online services provided by NCEI using the online resource URLs in this record. Contact NCEI Information Services for custom orders. When requesting data from NCEI, the desired data set may be referred to by the unique package identification number listed in this metadata record.
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                    description:  These data are available through the File Transfer Protocol (FTP). You may use any FTP client to download these data.
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                description:  NCEI Accession 0170338 v1.1 was published.
                dateTime:
                  DateTime:  2018-02-06T15:16:52Z
                output:  (LE_Source)
                    sourceCitation:  (CI_Citation)
                        title:  NCEI Accession 0170338 v1.1
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                            date: (inapplicable)
                            dateType:  (CI_DateTypeCode) publication
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                                    linkage: https://accession.nodc.noaa.gov/0170338/1.1
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                                    name:  NCEI Accession 0170338 v1.1
                                    description:  NCEI Accession 0170338 v1.1
                                    function:  (CI_OnLineFunctionCode) download
                            role: (inapplicable)
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                description:  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..
            processStep:  (LE_ProcessStep)
                description:  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##.
            processStep:  (LE_ProcessStep)
                description:  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##.
            processStep:  (LE_ProcessStep)
                description:  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 > ##.
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        maintenanceNote:  Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
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