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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/gmd-2019-367
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-367
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model evaluation paper 03 Feb 2020

Submitted as: model evaluation paper | 03 Feb 2020

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This preprint is currently under review for the journal GMD.

Evaluation of CH4MODwetland and TEM models used to estimate global CH4 emissions from natural wetlands

Tingting Li1,2, Yanyu Lu3, Lingfei Yu4, Wenjuan Sun4, Qing Zhang1, Wen Zhang1, Guocheng Wang1, Lijun Yu1, and Ran Zhang5 Tingting Li et al.
  • 1LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
  • 2Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
  • 3Anhui Climate Center, Hefei, 230031, China
  • 4Institute of Botany, Chinese Academy ofSciences, Beijing, 100049, China
  • 5CCRC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China

Abstract. Reliable models are required to estimate global wetland CH4 emissions. This study aimed to test two process-based models, CH4MODwetland and TEM, against the CH4 flux measurements of marsh, swamps, peatland and coastal wetland sites across the world; specifically, model accuracy and generality were evaluated for different wetland types and in different continents, and then the global CH4 emissions from 2000 to 2010 were estimated. Both models showed similar high correlations with the observed seasonal CH4 emissions, and the regression of the observed versus computed total seasonal CH4 emissions resulted in R2 values of 0.78 and 0.72 by CH4MODwetland and TEM, respectively. The CH4MODwetland predicted more accurately in marsh, peatland and coastal wetlands, with model efficiency (EF) values of 0.22, 0.55 and 0.72, respectively; however, the model showed poor performance in swamps (EF < 0). The TEM model predicted better in peatland and swamp, with EF values of 0.77 and 0.71, respectively, but it could not accurately simulate the marsh and coastal wetland (EF < 0). There was a good correlation between the simulated CH4 fluxes and the observed values on most continents. However, CH4MODwetland showed no correlation with the observed values in South America and Africa. TEM showed no correlation with the observations in Europe. The global CH4 emissions for the period 2000–2010 were estimated to be 105.31 ± 2.72 Tg yr−1 by CH4MODwetland and 134.31 ± 0.84 Tg yr−1 by TEM. Both models simulated a similar spatial distribution of CH4 emissions across the world and among continents. Marsh contributes 36 %–39 % to global CH4 emissions. Lakes and rivers and swamp are the second and third contributors, respectively. Other wetland types account for only approximately 20 % of global emissions. Based on the models’ generality, if we use the more accurate model to estimate each continent/wetland type, we obtain a new assessment of 116.99–124.74 Tg yr−1 for the global CH4 emissions for the period 2000–2010.

Tingting Li et al.

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Short summary
Reliable models are required to estimate global wetland CH4 emissions. In this study, we tested two process-based models, CH4MODwetlandand TEM, against the CH4 flux measurements of different continents and wetland types across the world and estimated the global CH4 emissions from 2000 to 2010 from natural wetlands. Each model shows good performance in different continents or wetland types. The estimated global CH4 emissions by the models would be 116.99–124.74 Tg yr−1 for the period 2000–2010.
Reliable models are required to estimate global wetland CH4 emissions. In this study, we tested...
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