U.S. Department of EnergyOffice of Scientific and Technical Information
Simulated hydrological dynamics and coupled iron redox cycling impact methane production in an Arctic soil: Modeling Archive
Abstract
This Modeling Archive is in support of an NGEE Arctic publication "Simulated hydrological dynamics and coupled iron redox cycling impact methane production in an Arctic soil" in the Journal of Geophysical Research-Biogeosciences. We simulated biogeochemical cycling in arctic soils using the PFLOTRAN geochemical model combined with measurements from previous NGEE Arctic incubations of polygonal permafrost soils in northern Alaska (Zheng et al., 2018). Simulated iron cycling, carbon dioxide production, and methane production were compared with incubation measurements and the parameterized model was then used to simulate coupled iron and carbon cycling over repeated oxic-anoxic cycles at different levels of carbon substrate availability and pH. The most recent data version (2.0) in the archive incorporates changes to the model and simulations as suggested by reviewers during the manuscript review process. These changes include an updated parameterization of the model; a new set of simulations omitting the iron cycle for direct evaluation of how iron cycle processes affect modeled outcomes; and a set of simulations testing different scenarios of carbon substrate availability in addition to scenarios of initial soil pH. This archive contains simulation code, model output, and analysis code for PFLOTRAN simulations. All scripts are python except the batch script formore »
- Publication Date:
- Other Number(s):
- https://doi.org/10.5440/1814844; NGA264
- Research Org.:
- Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Collaborations:
- ORNL
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE SERVICES > MODELS > CARBON CYCLE/CARBON BUDGET MODELS
- OSTI Identifier:
- 1814844
- DOI:
- https://doi.org/10.5440/1814844
Citation Formats
Sulman, Benjamin, Yuan, Fengming, O'Meara, Teri, Graham, David, Gu, Baohua, Herndon, Elizabeth, and Zheng, Jianqiu. Simulated hydrological dynamics and coupled iron redox cycling impact methane production in an Arctic soil: Modeling Archive. United States: N. p., 2021.
Web. doi:10.5440/1814844.
Sulman, Benjamin, Yuan, Fengming, O'Meara, Teri, Graham, David, Gu, Baohua, Herndon, Elizabeth, & Zheng, Jianqiu. Simulated hydrological dynamics and coupled iron redox cycling impact methane production in an Arctic soil: Modeling Archive. United States. doi:https://doi.org/10.5440/1814844
Sulman, Benjamin, Yuan, Fengming, O'Meara, Teri, Graham, David, Gu, Baohua, Herndon, Elizabeth, and Zheng, Jianqiu. 2021.
"Simulated hydrological dynamics and coupled iron redox cycling impact methane production in an Arctic soil: Modeling Archive". United States. doi:https://doi.org/10.5440/1814844. https://www.osti.gov/servlets/purl/1814844. Pub date:Fri Oct 08 04:00:00 UTC 2021
@article{osti_1814844,
title = {Simulated hydrological dynamics and coupled iron redox cycling impact methane production in an Arctic soil: Modeling Archive},
author = {Sulman, Benjamin and Yuan, Fengming and O'Meara, Teri and Graham, David and Gu, Baohua and Herndon, Elizabeth and Zheng, Jianqiu},
abstractNote = {This Modeling Archive is in support of an NGEE Arctic publication "Simulated hydrological dynamics and coupled iron redox cycling impact methane production in an Arctic soil" in the Journal of Geophysical Research-Biogeosciences. We simulated biogeochemical cycling in arctic soils using the PFLOTRAN geochemical model combined with measurements from previous NGEE Arctic incubations of polygonal permafrost soils in northern Alaska (Zheng et al., 2018). Simulated iron cycling, carbon dioxide production, and methane production were compared with incubation measurements and the parameterized model was then used to simulate coupled iron and carbon cycling over repeated oxic-anoxic cycles at different levels of carbon substrate availability and pH. The most recent data version (2.0) in the archive incorporates changes to the model and simulations as suggested by reviewers during the manuscript review process. These changes include an updated parameterization of the model; a new set of simulations omitting the iron cycle for direct evaluation of how iron cycle processes affect modeled outcomes; and a set of simulations testing different scenarios of carbon substrate availability in addition to scenarios of initial soil pH. This archive contains simulation code, model output, and analysis code for PFLOTRAN simulations. All scripts are python except the batch script for submitting multiprocessor jobs. Note that the model also requires compiled versions of the Alquimia interface and the NGEE Arctic fork of the PFLOTRAN geochemical simulator (see the README_INSTALL document for basic instructions). The Output directory contains eight data files in netCDF format generated by the model. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},
doi = {10.5440/1814844},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Oct 08 04:00:00 UTC 2021},
month = {Fri Oct 08 04:00:00 UTC 2021}
}