Articles | Volume 13, issue 8
https://doi.org/10.5194/gmd-13-3769-2020
https://doi.org/10.5194/gmd-13-3769-2020
Model evaluation paper
 | 
26 Aug 2020
Model evaluation paper |  | 26 Aug 2020

Evaluation of CH4MODwetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands

Tingting Li, Yanyu Lu, Lingfei Yu, Wenjuan Sun, Qing Zhang, Wen Zhang, Guocheng Wang, Zhangcai Qin, Lijun Yu, Hailing Li, and Ran Zhang

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Cited articles

Allen, O. B. and Raktoe, B. L.: Accuracy analysis with special reference to the prediction of grassland yield, Biom. J., 23, 371–388, 1981. 
Alvalá, P. C. and Kirchhoff, V. W. J. H.: Methane fluxes from the Pantanal floodplain in Brazil: seasonal variation, in: Non-CO2 greenhouse gases: Scientific understanding, control and implementation: Proceedings of the Second International Symposium, 8–10 September 1999, Noordwijkerhout, the Netherlands, edited by: van Ham, J., Baede, A. P. M., Meyer, L. A., and Ybema, R., Springer Netherlands, Dordrecht, the Netherlands, 95–99, 2000 
Aubinet, M., Vesala, T., and Papale, D.: Eddy covariance: a practical guide to measurement and data analysis, Springer Science & Business Media, Dordrecht, the Netherlands, 2012. 
Aurela, M., Laurila, T., and Tuovinen, J. P.: Annual CO2 balance of a subarctic fen in northern Europe: importance of the wintertime efflux, J. Geophys. Res.-Atmos., 107, 4607, https://doi.org/10.1029/2002JD002055, 2002. 
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Reliable models are required to estimate global wetland CH4 emissions, which are the largest and most uncertain source of atmospheric CH4. This paper evaluated CH4MODwetland and TEM models against CH4 measurements from different continents and wetland types. Based on best-model performance, we estimated 117–125 Tg yr−1 of global CH4 emissions from wetlands for the period 2000–2010. Efforts should be made to reduce estimate uncertainties for different wetland types and regions.