SPRUCE Data-constrained Projections of Methane Fluxes in a Northern Minnesota Peatland in Response to Elevated CO2 and Warming: Modeling Archive
Abstract
Study developed a data-informed process-based model using methane chamber measurement data from the SPRUCE project experiment in a northern peatland in northern Minnesota. Study used existing manual CH4 flux measurements collected from the ambient environment from 2011-2014 and developed a data-informed process-based methane module. The module was incorporated into the Terrestrial ECOsystem (TECO) model before its parameters were constrained with multiple years of methane flux data for forecasting CH4 emission under five warming and two elevated CO2 experimental treatments at SPRUCE. Included in this model archive are the (1) source code of the TECO model used in the study (2) the posterior distribution of parameters values, and (3) model simulated results of methane emission for different pathways under different environmental conditions.
- Authors:
- Publication Date:
- DOE Contract Number:
- AC05-00OR22725
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
- Subject:
- 54 ENVIRONMENTAL SCIENCES
- Keywords:
- CH4 flux, Terrestrial ECOsystem (TECO) model, methane emission, forecasting, SPRUCE
- Geolocation:
- 47.50656,-93.45256|47.5047,-93.45256|47.5047,-93.45399|47.50656,-93.45399|47.50656,-93.45256
- OSTI Identifier:
- 1673744
- DOI:
- https://doi.org/10.3334/CDIAC/spruce.046
- Project Location:
-
Citation Formats
Ma, Shuang, Jiang, Jiang, Huang, Yuanyuan, Shi, Zheng, Wilson, Rachel M., Ricciuto, Daniel, Sebestyen, Stephen D., Hanson, Paul J., and Luo, Yiqi. SPRUCE Data-constrained Projections of Methane Fluxes in a Northern Minnesota Peatland in Response to Elevated CO2 and Warming: Modeling Archive. United States: N. p., 2017.
Web. doi:10.3334/CDIAC/spruce.046.
Ma, Shuang, Jiang, Jiang, Huang, Yuanyuan, Shi, Zheng, Wilson, Rachel M., Ricciuto, Daniel, Sebestyen, Stephen D., Hanson, Paul J., & Luo, Yiqi. SPRUCE Data-constrained Projections of Methane Fluxes in a Northern Minnesota Peatland in Response to Elevated CO2 and Warming: Modeling Archive. United States. doi:https://doi.org/10.3334/CDIAC/spruce.046
Ma, Shuang, Jiang, Jiang, Huang, Yuanyuan, Shi, Zheng, Wilson, Rachel M., Ricciuto, Daniel, Sebestyen, Stephen D., Hanson, Paul J., and Luo, Yiqi. 2017.
"SPRUCE Data-constrained Projections of Methane Fluxes in a Northern Minnesota Peatland in Response to Elevated CO2 and Warming: Modeling Archive". United States. doi:https://doi.org/10.3334/CDIAC/spruce.046. https://www.osti.gov/servlets/purl/1673744. Pub date:Sun Jan 01 00:00:00 EST 2017
@article{osti_1673744,
title = {SPRUCE Data-constrained Projections of Methane Fluxes in a Northern Minnesota Peatland in Response to Elevated CO2 and Warming: Modeling Archive},
author = {Ma, Shuang and Jiang, Jiang and Huang, Yuanyuan and Shi, Zheng and Wilson, Rachel M. and Ricciuto, Daniel and Sebestyen, Stephen D. and Hanson, Paul J. and Luo, Yiqi},
abstractNote = {Study developed a data-informed process-based model using methane chamber measurement data from the SPRUCE project experiment in a northern peatland in northern Minnesota. Study used existing manual CH4 flux measurements collected from the ambient environment from 2011-2014 and developed a data-informed process-based methane module. The module was incorporated into the Terrestrial ECOsystem (TECO) model before its parameters were constrained with multiple years of methane flux data for forecasting CH4 emission under five warming and two elevated CO2 experimental treatments at SPRUCE. Included in this model archive are the (1) source code of the TECO model used in the study (2) the posterior distribution of parameters values, and (3) model simulated results of methane emission for different pathways under different environmental conditions.},
doi = {10.3334/CDIAC/spruce.046},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {1}
}