Submitted as: model description paper 20 Apr 2021

Submitted as: model description paper | 20 Apr 2021

Review status: this preprint is currently under review for the journal GMD.

Integrating Agricultural Practices into the TRIPLEX-GHG Model v2.0 for Simulating Global Cropland Nitrous Oxide Emissions: Model Development and Evaluation

Hanxiong Song1,2, Changhui Peng1,2, Kerou Zhang3, and Qiuan Zhu4 Hanxiong Song et al.
  • 1Department of Biology Sciences, University of Quebec at Montreal, C.P. 8888, Succ. Center-Ville, Montreal H3C 3P8, Canada
  • 2Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, China
  • 3Institute of Wetland Research, Chinese Academy of Forestry, Beijing, China
  • 4College of Hydrology and Water Resources, Hohai University, Nanjing, China

Abstract. Nitrous oxide (N2O) emissions from croplands are one of the most important greenhouse gas sources, and it is difficult to simulate on a large scale. In order to simulate N2O emissions from global croplands, a new version of the process-based TRIPLEX-GHG model was developed by coupling the major agricultural activities. The coefficient of the NO3 consumption rate for denitrification (COEdNO3) was found to be the most sensitive parameter based on sensitivity analysis, and it was calibrated using field data from 39 observation sites across major croplands globally. The model performed well when simulating the magnitude of the daily N2O emissions and was able to capture the temporal patterns of the N2O emissions. The COEdNO3 ranged from 0.01 to 0.05, and the continental mean of the parameter was used for the model validation. The validation results indicate that the means of the measured daily N2O fluxes during the experiment periods are highly correlated with the modeled results (R2 = 0.87). Consequently, our model simulation results demonstrate that the new version of the TRIPLEX-GHG model can reliably simulate N2O emissions from various croplands at the global scale.

Hanxiong Song et al.

Status: open (until 15 Jun 2021)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Hanxiong Song et al.

Hanxiong Song et al.


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Short summary
Cropland is the major hotspot for N2O emission as affected by multiple agricultural practices. Because of the varying magnitudes of N2O emissions across observation sites and periods, it is difficult to quantify the N2O budget at a large scale. A process-based biogeochemical model, TRIPLEX-GHG, was incorporated with major agricultural practices. By comparing the modeled and measured data, we found that the TRIPLEX-GHGv2.0 is capable to provide reasonable estimations of N2O flux from cropland.