Articles | Volume 13, issue 8
https://doi.org/10.5194/gmd-13-3769-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-3769-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
26 Aug 2020
Model evaluation paper |
| 26 Aug 2020
| 26 Aug 2020
Evaluation of CH4MODwetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands
Tingting Li
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
Yanyu Lu
CORRESPONDING AUTHOR
Anhui Institute of Meteorological Sciences, Key Laboratory of
Atmospheric Sciences and Remote Sensing of Anhui Province, Hefei 230031, China
Lingfei Yu
CORRESPONDING AUTHOR
Institute of Botany, Chinese Academy of Sciences, Beijing 100049,
China
Wenjuan Sun
Institute of Botany, Chinese Academy of Sciences, Beijing 100049,
China
Qing Zhang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Wen Zhang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Guocheng Wang
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Zhangcai Qin
Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519000, China
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou
510245, China
Lijun Yu
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Hailing Li
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Science, University of Chinese Academy of Sciences, Beijing 100049, China
Ran Zhang
CCRC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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Cited
10 citations as recorded by crossref.
- Methane Emissions from Wetlands in China and Their Climate Feedbacks in the 21st Century T. Li et al. 10.1021/acs.est.2c01575
- Machine learning-driven method for in-situ high-frequency CH4 measurement in paddy fields based on water-soil-air factors: A case study of the Yangtze River Basin Q. Zhang et al. 10.1016/j.jenvman.2025.127132
- Cold‐Season Methane Fluxes Simulated by GCP‐CH4 Models A. Ito et al. 10.1029/2023GL103037
- Magnitudes and environmental drivers of greenhouse gas emissions from natural wetlands in China based on unbiased data L. Wang et al. 10.1007/s11356-021-13843-4
- China’s EarthLab—Forefront of Earth System Simulation Research Z. Chai et al. 10.1007/s00376-021-1175-y
- More enhanced non-growing season methane exchanges under warming on the Qinghai-Tibetan Plateau Z. Liu et al. 10.1016/j.scitotenv.2024.170438
- Carbon sequestration in soil and biomass under native and non-native mangrove ecosystems Z. Zhang et al. 10.1007/s11104-022-05352-1
- Modeling methane dynamics in three wetlands in Northeastern China by using the CLM-Microbe model Y. Zuo et al. 10.1080/20964129.2022.2074895
- Methane Anaerobic Oxidation Potential and Microbial Community Response to Sulfate Input in Coastal Wetlands of the Yellow River Delta J. Li et al. 10.3390/su15097053
- Global responses of wetland methane emissions to extreme temperature and precipitation M. Xu et al. 10.1016/j.envres.2024.118907
10 citations as recorded by crossref.
- Methane Emissions from Wetlands in China and Their Climate Feedbacks in the 21st Century T. Li et al. 10.1021/acs.est.2c01575
- Machine learning-driven method for in-situ high-frequency CH4 measurement in paddy fields based on water-soil-air factors: A case study of the Yangtze River Basin Q. Zhang et al. 10.1016/j.jenvman.2025.127132
- Cold‐Season Methane Fluxes Simulated by GCP‐CH4 Models A. Ito et al. 10.1029/2023GL103037
- Magnitudes and environmental drivers of greenhouse gas emissions from natural wetlands in China based on unbiased data L. Wang et al. 10.1007/s11356-021-13843-4
- China’s EarthLab—Forefront of Earth System Simulation Research Z. Chai et al. 10.1007/s00376-021-1175-y
- More enhanced non-growing season methane exchanges under warming on the Qinghai-Tibetan Plateau Z. Liu et al. 10.1016/j.scitotenv.2024.170438
- Carbon sequestration in soil and biomass under native and non-native mangrove ecosystems Z. Zhang et al. 10.1007/s11104-022-05352-1
- Modeling methane dynamics in three wetlands in Northeastern China by using the CLM-Microbe model Y. Zuo et al. 10.1080/20964129.2022.2074895
- Methane Anaerobic Oxidation Potential and Microbial Community Response to Sulfate Input in Coastal Wetlands of the Yellow River Delta J. Li et al. 10.3390/su15097053
- Global responses of wetland methane emissions to extreme temperature and precipitation M. Xu et al. 10.1016/j.envres.2024.118907
Latest update: 31 Oct 2025
Short summary
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.
Reliable models are required to estimate global wetland CH4 emissions, which are the largest and...
