U.S. Department of EnergyOffice of Scientific and Technical Information
Model simulations of Plum Island Ecosystems LTER low marsh site using ELM-PFLOTRAN
Abstract
Model simulations using the E3SM Land Model (ELM) coupled to the PFLOTRAN reactive transport model via the Alquimia interface. The simulations were conducted for a tidal salt marsh at the Plum Island Ecosystems LTER near Rowley, Massachusetts, USA. Model simulations were forced using site-specific tidal cycles and salinity, and the simulations used a biogeochemical reaction network including aerobic decomposition, sulfate reduction, iron reduction, and methanogenesis. Model outputs include simulated carbon stocks, carbon dioxide and methane fluxes, and porewater concentrations of key solutes related to sulfur, iron, and carbon cycling. The model simulations included a saline simulation (with tidal sulfate inputs), a fresh simulation (with low salinity and low sulfate inputs), and a saline simulation with lower vegetation productivity to represent the effect of salinity on vegetation. These simulations were conducted to demonstrate that a new model framework incorporating subsurface redox and biogeochemical interactions into a land surface model could reproduce measured surface greenhouse gas fluxes and biogeochemical dynamics in tidal marsh ecosystems, and to test whether including redox interactions in a land surface model would allow the model to resolve contrasts in biogeochemical cycling and greenhouse gas production between saline and freshwater wetlands.The data package includes gzipped tar archives (whichmore »
- Authors:
-
;
- Oak Ridge National Laboratory; Oak Ridge National Laboratory
- University of Maine
- U.S. Geological Survey
- Oak Ridge National Laboratory
- Lawrence Berkeley National Laboratory
- University of Toledo
- Marine Biological Laboratory
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Environmental System Science Data Infrastructure for a Virtual Ecosystem; 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; Biogeochemistry; EARTH SCIENCE > BIOSPHERE > ECOSYSTEMS; EARTH SCIENCE > OCEANS > COASTAL PROCESSES; Methane; Modeling; Redox; Salt marsh; Wetlands
- OSTI Identifier:
- 1991625
- DOI:
- https://doi.org/10.15485/1991625
Citation Formats
Sulman, Benjamin, Wang, Jiaze, LaFond-Hudson, Sophie, O'Meara, Teri, Yuan, Fengming, Molins, Sergi, Forbrich, Inke, Cardon, Zoe, and Giblin, Anne. Model simulations of Plum Island Ecosystems LTER low marsh site using ELM-PFLOTRAN. United States: N. p., 2023.
Web. doi:10.15485/1991625.
Sulman, Benjamin, Wang, Jiaze, LaFond-Hudson, Sophie, O'Meara, Teri, Yuan, Fengming, Molins, Sergi, Forbrich, Inke, Cardon, Zoe, & Giblin, Anne. Model simulations of Plum Island Ecosystems LTER low marsh site using ELM-PFLOTRAN. United States. doi:https://doi.org/10.15485/1991625
Sulman, Benjamin, Wang, Jiaze, LaFond-Hudson, Sophie, O'Meara, Teri, Yuan, Fengming, Molins, Sergi, Forbrich, Inke, Cardon, Zoe, and Giblin, Anne. 2023.
"Model simulations of Plum Island Ecosystems LTER low marsh site using ELM-PFLOTRAN". United States. doi:https://doi.org/10.15485/1991625. https://www.osti.gov/servlets/purl/1991625. Pub date:Sun Jan 01 04:00:00 UTC 2023
@article{osti_1991625,
title = {Model simulations of Plum Island Ecosystems LTER low marsh site using ELM-PFLOTRAN},
author = {Sulman, Benjamin and Wang, Jiaze and LaFond-Hudson, Sophie and O'Meara, Teri and Yuan, Fengming and Molins, Sergi and Forbrich, Inke and Cardon, Zoe and Giblin, Anne},
abstractNote = {Model simulations using the E3SM Land Model (ELM) coupled to the PFLOTRAN reactive transport model via the Alquimia interface. The simulations were conducted for a tidal salt marsh at the Plum Island Ecosystems LTER near Rowley, Massachusetts, USA. Model simulations were forced using site-specific tidal cycles and salinity, and the simulations used a biogeochemical reaction network including aerobic decomposition, sulfate reduction, iron reduction, and methanogenesis. Model outputs include simulated carbon stocks, carbon dioxide and methane fluxes, and porewater concentrations of key solutes related to sulfur, iron, and carbon cycling. The model simulations included a saline simulation (with tidal sulfate inputs), a fresh simulation (with low salinity and low sulfate inputs), and a saline simulation with lower vegetation productivity to represent the effect of salinity on vegetation. These simulations were conducted to demonstrate that a new model framework incorporating subsurface redox and biogeochemical interactions into a land surface model could reproduce measured surface greenhouse gas fluxes and biogeochemical dynamics in tidal marsh ecosystems, and to test whether including redox interactions in a land surface model would allow the model to resolve contrasts in biogeochemical cycling and greenhouse gas production between saline and freshwater wetlands.The data package includes gzipped tar archives (which can be expanded using standard tar and gzip utilities) of model outputs from three model configurations: saline subsurface and reduced vegetation productivity related to salinity; saline subsurface with vegetation productivity not reduced; and freshwater. Also included are code for the modified E3SM model, Alquimia interface, and PFLOTRAN reactive transport simulator in gzipped tar format; plain text parameter and configuration files; python code files for visualizing model output and defining model configurations; and model output, tide and salinity forcing, and configuration files in netCDF format. See the README.md file in the data package for a detailed description of all files contained in the package. All files are in netCDF (.nc), gzipped tar archive (.tar.gz or .tgz), or text (all other files).Updated: May 13, 2024. Model output, E3SM code, PFLOTRAN input files, and python codes for visualizing results were updated to reflect changes made for the manuscript revision. The updated archive reflects the code and model output from the final accepted manuscript. Changes included updated reaction parameters reflecting improved parameterization and additional comparisons with field measurements. E3SM code changes included better support for multiple grid cells and improved flow and transport parameterization.},
doi = {10.15485/1991625},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 04:00:00 UTC 2023},
month = {Sun Jan 01 04:00:00 UTC 2023}
}