U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

Improving Global Methane Emission Predictions
Published: September 13, 2016
Posted: November 22, 2016

A multiscale comparison of modeled and observed seasonal methane emissions in northern wetlands.

The Science
Wetlands are the largest global natural methane (CH4) source, yet predictive capability of land models is low. In a recent study, researchers improved the methane module in the Community Land Model (CLM) and Accelerated Climate Modeling for Energy (ACME) Land Model (ALM) and compared predictions with tower and aircraft observations and atmospheric inversions. The findings highlight new observations and model requirements to improve global CH4 predictions.

The Impact
Model changes substantially improved CH4 emission predictions compared to observations. Cold season CH4 emissions estimates remain biased low, motivating more observations during this period. Large CH4 emissions uncertainties also are generated by uncertainties in wetland hydrology.

The study compared wetland CH4 emission model predictions with site- to regional-scale observations. A comparison of the CH4 fluxes with eddy flux data highlighted needed changes to the model’s estimate of aerenchyma area, which were implemented and tested. The model modifications substantially reduced biases in CH4 emissions when compared with CarbonTracker CH4 predictions. CLM4.5 CH4 emission predictions agree well with Alaskan growing season (May-September) CarbonTracker CH4 predictions and site-level observations. However, the model underestimated CH4 emissions in the cold season (October-April). The monthly atmospheric CH4 mole fraction enhancements due to wetland emissions also were assessed using the Weather Research and Forecasting-Stochastic Time-Inverted Lagrangian Transport (WRF-STILT) model and compared with measurements from the Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) campaign. Both the tower and aircraft analyses confirm the underestimate of cold season CH4 emissions. The greatest uncertainties in predicting the seasonal CH4 cycle are from the wetland extent, cold season CH4 production, and CH4 transport processes. Predicted CH4 emissions remain uncertain, but the study’s findings show that benchmarking against observations across spatial scales can inform model structural and parameter improvements.

Contacts (BER PM)
Daniel Stover, Jared DeForest, and Renu Joseph
Daniel.Stover@science.doe.gov, 301-903-0289; Jared.DeForest@science.doe.gov, 301-903-1678; and renu.joseph@science.doe.gov, 301-903-9237

(PI Contact)
William J. Riley
Lawrence Berkeley National Laboratory

Funding for this study was provided by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research, under the Regional and Global Climate Modeling program and Next-Generation Ecosystem Experiments–Arctic project under contract # DE-AC02-05CH11231.

Xu, X., W. J. Riley, C. D. Koven, et al. 2016. “A Multiscale Comparison of Modeled and Observed Seasonal Methane Emissions in Northern Wetlands,” Biogeosciences 13, 5043-56. DOI: 10.5194/bg-13-5043-2016. (Reference link)

Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling
  • Research Area: Terrestrial Ecosystem Science
  • Research Area: Carbon Cycle, Nutrient Cycling

Division: SC-23.1 Climate and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

Aug 24, 2019
New Approach for Studying How Microbes Influence Their Environment
A diverse group of scientists suggests a common framework and targeting of known microbial processes [more...]

Aug 08, 2019
Nutrient-Hungry Peatland Microbes Reduce Carbon Loss Under Warmer Conditions
Enzyme production in peatlands reduces carbon lost to respiration under future high temperatures. [more...]

Aug 05, 2019
Amazon Forest Response to CO2 Fertilization Dependent on Plant Phosphorus Acquisition
AmazonFACE Model Intercomparison. The Science Plant growth is dependent on the availabi [more...]

Jul 29, 2019
A Slippery Slope: Soil Carbon Destabilization
Carbon gain or loss depends on the balance between competing biological, chemical, and physical reac [more...]

Jul 15, 2019
Field Evaluation of Gas Analyzers for Measuring Ecosystem Fluxes
How gas analyzer type and correction method impact measured fluxes. The Science A side- [more...]

List all highlights (possible long download time)