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: NOAA National Centers for Coastal Ocean Science
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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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.
orderingInstructions: Contact NCEI for other distribution options and instructions.
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name: Originator data format
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distributorTransferOptions: (MD_DigitalTransferOptions)
transferSize:
Real: 654.736
onLine: (CI_OnlineResource)
linkage: https://doi.org/10.7289/v5dr2srj
protocol: HTTPS
applicationProfile: Web browser
name: NCEI Dataset Landing Page
description: Navigate directly to the URL for a descriptive web page with download links.
function: (CI_OnLineFunctionCode) information
onLine: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/oas/170338
protocol: HTTPS
applicationProfile: Web browser
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description: Navigate directly to the URL for a descriptive web page with download links.
function: (CI_OnLineFunctionCode) information
onLine: (CI_OnlineResource)
linkage: https://www.ncei.noaa.gov/archive/accession/download/170338
protocol: HTTPS
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description: Navigate directly to the URL for data access and direct download.
function: (CI_OnLineFunctionCode) download
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linkage: ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0116/0170338/
protocol: FTP
applicationProfile: Any FTP client
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description: These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP).
function: (CI_OnLineFunctionCode) download
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
lineage: (LI_Lineage)
processStep: (LE_ProcessStep)
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
date: (CI_Date)
date: (inapplicable)
dateType: (CI_DateTypeCode) publication
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contactInfo: (CI_Contact)
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linkage: https://www.ncei.noaa.gov/archive/accession/0170338/1.1
protocol: HTTPS
name: NCEI Accession 0170338 v1.1
description: published 2018-02-06T15:16:52Z
function: (CI_OnLineFunctionCode) download
role: (inapplicable)
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dataQualityInfo: (DQ_DataQuality)
scope: (DQ_Scope)
level: (MD_ScopeCode) dataset
lineage: (LI_Lineage)
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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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metadataMaintenance: (MD_MaintenanceInformation)
maintenanceAndUpdateFrequency: (MD_MaintenanceFrequencyCode) asNeeded
maintenanceNote: Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
contact: (CI_ResponsibleParty)
organisationName: NOAA National Centers for Environmental Information
role: (CI_RoleCode) custodian
