ELM model simulations of Plum Island Ecosystems LTER low marsh site 2018-2020

LaFond-Hudson, Sophia; Sulman, Benjamin; O'Meara, Teri; Forbrich, Inke; Cardon, Zoe

doi:10.15485/3001965

Title: ELM model simulations of Plum Island Ecosystems LTER low marsh site 2018-2020

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Abstract

Model simulations using the Department of Energy's Energy Exascale Earth System Model (E3SM) land model (ELM) with improved capabilities to represent vegetation response to salinity and inundation. The simulations were conducted for a tidal salt marsh at Plum Island Ecosystems Long Term Ecological Research (LTER) site near Rowley, Massachusetts, USA; the site is a low marsh dominated by Spartina alterniflora. The model was forced with site-specific meteorology, salinity and tidal cycles from 2018-2020. Four sets of model simulations are included and described below:1. Parameterization of the salinity response function. These simulations tested different combinations of values for optimal salinity and salinity tolerance.2. Model evaluation. This comparison conducted simulations using the default model, the salinity function only, the submergence function only, and both the salinity and submergence functions. 3. Salinity scenarios. These simulations used the 2018 salinity input data varied by -5 to +10 ppt salinity.4. Water level scenarios. These simulations used the tide height varied by -10 to +50 cm. These simulations were used to demonstrate how the salinity and submergence functions better represent carbon uptake by tidal salt marshes.The data package includes netCDF files used as forcing files for tide height and salinity, one for each year 2018-2020 atmore »« less

Authors:

;

Publication Date:: Tue Dec 31 23:00:00 EST 2024

DOE Contract Number:: AC02-05CH11231

Research Org.:: Simulating estuarine wetland function: Nitrogen removal, carbon sequestration, and greenhouse gas fluxes at the river-land-ocean interface

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > VEGETATION; EARTH SCIENCE > OCEANS > COASTAL PROCESSES; Modeling; Salt marsh; Wetlands

OSTI Identifier:: 3001965

DOI:: https://doi.org/10.15485/3001965

Citation Formats


                    LaFond-Hudson, Sophia, Sulman, Benjamin, O'Meara, Teri, Forbrich, Inke, and Cardon, Zoe. ELM model simulations of Plum Island Ecosystems LTER low marsh site 2018-2020.  United States: N. p., 2024. 
        Web.  doi:10.15485/3001965.

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                    LaFond-Hudson, Sophia, Sulman, Benjamin, O'Meara, Teri, Forbrich, Inke, & Cardon, Zoe. ELM model simulations of Plum Island Ecosystems LTER low marsh site 2018-2020.  United States.  doi:https://doi.org/10.15485/3001965

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                    LaFond-Hudson, Sophia, Sulman, Benjamin, O'Meara, Teri, Forbrich, Inke, and Cardon, Zoe. 2024.  
"ELM model simulations of Plum Island Ecosystems LTER low marsh site 2018-2020".  United States.  doi:https://doi.org/10.15485/3001965.  https://www.osti.gov/servlets/purl/3001965. Pub date:Tue Dec 31 23:00:00 EST 2024

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@article{osti_3001965,

  title        = {ELM model simulations of Plum Island Ecosystems LTER low marsh site 2018-2020},

  author       = {LaFond-Hudson, Sophia and Sulman, Benjamin and O'Meara, Teri and Forbrich, Inke and Cardon, Zoe},

  abstractNote = {Model simulations using the Department of Energy's Energy Exascale Earth System Model (E3SM) land model (ELM) with improved capabilities to represent vegetation response to salinity and inundation. The simulations were conducted for a tidal salt marsh at Plum Island Ecosystems Long Term Ecological Research (LTER) site near Rowley, Massachusetts, USA; the site is a low marsh dominated by Spartina alterniflora. The model was forced with site-specific meteorology, salinity and tidal cycles from 2018-2020. Four sets of model simulations are included and described below:1. Parameterization of the salinity response function. These simulations tested different combinations of values for optimal salinity and salinity tolerance.2. Model evaluation. This comparison conducted simulations using the default model, the salinity function only, the submergence function only, and both the salinity and submergence functions. 3. Salinity scenarios. These simulations used the 2018 salinity input data varied by -5 to +10 ppt salinity.4. Water level scenarios. These simulations used the tide height varied by -10 to +50 cm. These simulations were used to demonstrate how the salinity and submergence functions better represent carbon uptake by tidal salt marshes.The data package includes netCDF files used as forcing files for tide height and salinity, one for each year 2018-2020 at observed salinity concentrations, and an additional three forcing files in which salinity concentrations were varied 5 ppt lower, 5 ppt higher, and 10 ppt higher than the measured 2018 time series. Also included are python scripts for creating forcing files, plain text parameter and command files for running simulations, model outputs in netCDF format, and python scripts for visualizing outputs. Code for the modified E3SM model is archived in Sulman et al 2023 at doi:10.15485/1991625. More detail about files is provided in the README.md file.},

  doi          = {10.15485/3001965},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Dec 31 23:00:00 EST 2024},

  month        = {Tue Dec 31 23:00:00 EST 2024}

}

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DOI: https://doi.org/10.15485/3001965

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