Articles | Volume 13, issue 3
https://doi.org/10.5194/essd-13-1073-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1073-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A comparative study of anthropogenic CH4 emissions over China based on the ensembles of bottom-up inventories
Xiaohui Lin
CORRESPONDING AUTHOR
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
Monica Crippa
European Commission, Joint Research Centre (JRC), Ispra, Italy
Shushi Peng
Sino-French Institute for Earth System Science, College of Urban and
Environmental Sciences, Peking University, Beijing, China
Pengfei Han
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing, China
Ning Zeng
Department of Atmospheric and Oceanic Science, and Earth System
Science Interdisciplinary Center, University of Maryland, College Park,
Maryland, USA
Lijun Yu
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
Guocheng Wang
State Key Laboratory of Atmospheric Boundary Layer Physics and
Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of
Sciences, Beijing, China
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50 citations as recorded by crossref.
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- Mitigating climate change by abating coal mine methane: A critical review of status and opportunities C. Karacan et al.
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- CHN-CH4: a gridded (0.1° × 0.1°) anthropogenic methane emission inventory of China from 1990 to 2020 F. Guo et al.
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- Temporal variation and grade categorization of methane emission from LNG fueling stations Y. Wang et al.
- Simulating and projecting agricultural non-CO 2 greenhouse gas emissions in China based on a bottom-up model E. Hua et al.
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al.
- Retrieval of dominant methane (CH4) emission sources, the first high-resolution (1–2 m) dataset of storage tanks of China in 2000–2021 F. Chen et al.
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- Merging TROPOMI and eddy covariance observations to quantify 5-years of daily CH4 emissions over coal-mine dominated region W. Hu et al.
- Assessing the impact of natural factors on CH₄ concentrations in Chinese cities from 2009 to 2023 Z. Linjing et al.
- Reconciling Bottom–Up and Top–Down Approaches to Quantify Sub-Regional Methane Emissions with Improved Inventory and Three-Year High-Resolution Satellite Measurements C. He et al.
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- Tracking regional CH4 emissions through collocated air pollution measurement: a pilot application and robustness analysis in China Y. Li & B. Zheng
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- A comprehensive inventory of China's methane emissions: Insights and changes from 2010 to 2020 Y. Shi et al.
- Agricultural Sector Homologous Emission Inventory of Air Pollutants and Greenhouse Gases for China X. Zhang et al.
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al.
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- Decreasing methane emissions from China’s coal mining with rebounded coal production J. Gao et al.
- Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method Y. Wang et al.
- Accuracy of tracer-based methane flux quantification: underlying impact of calibrating acetylene measurements A. Shah et al.
- High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al.
- Paving the way for sustainable agriculture: An analysis of evolution and driving forces of methane emissions reduction in China Z. Xu et al.
- Effect of Surface Methane Controls on Ozone Concentration and Rice Yield in Asia K. Tatsumi
- Quantification of Central and Eastern China's atmospheric CH4 enhancement changes and its contributions based on machine learning approach X. Ai et al.
- The Tibetan Plateau acts as a net greenhouse gas sink T. Wang et al.
- Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al.
- Structural changes and impacts of methane emissions in China S. Yu et al.
- High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al.
- Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al.
50 citations as recorded by crossref.
- Bridging the Gap: A comprehensive review and cross-check analysis for China's Non-CO2 greenhouse gas emission estimates L. Hu & X. Fang
- Mitigating climate change by abating coal mine methane: A critical review of status and opportunities C. Karacan et al.
- Historical trend of China's CH4 concentrations and emissions during 2003–2020 based on satellite observations, and their implications D. Chen et al.
- Assessment of methane (CH4) and its nexus with meteorological variables using cross wavelet analysis over South Asia K. Shakrullah et al.
- Spatiotemporal variations of atmospheric XCH4 in China based on multiple spatially continuous satellite-derived products Y. Liu et al.
- Influence of Surface Methane on Tropospheric Ozone Concentrations and Cereal Yield in Asia K. Tatsumi
- North–south inhomogeneous variations of methane emissions observed by TROPOMI over China S. Yu et al.
- CHN-CH4: a gridded (0.1° × 0.1°) anthropogenic methane emission inventory of China from 1990 to 2020 F. Guo et al.
- Locating and quantifying CH4 sources within a wastewater treatment plant based on mobile measurements J. Yang et al.
- Agriculture related methane emissions embodied in China's interprovincial trade H. Pan et al.
- China’s energy sector facility-level inventory reveals methane emissions peaked in 2014 and emerging sources from abandoned facilities Q. Liu & F. Teng
- An integrated view of correlated emissions of greenhouse gases and air pollutants in China X. Lin et al.
- Satellite-Based Monitoring of Methane Emissions from China’s Rice Hub R. Liang et al.
- The effect of quarantine policy on pollution emission and the usage of private transportation in urban areas Y. Hong & K. Lu
- Temporal variation and grade categorization of methane emission from LNG fueling stations Y. Wang et al.
- Simulating and projecting agricultural non-CO 2 greenhouse gas emissions in China based on a bottom-up model E. Hua et al.
- Decadal Methane Emission Trend Inferred from Proxy GOSAT XCH4 Retrievals: Impacts of Transport Model Spatial Resolution S. Zhu et al.
- Retrieval of dominant methane (CH4) emission sources, the first high-resolution (1–2 m) dataset of storage tanks of China in 2000–2021 F. Chen et al.
- City-level livestock methane emissions in China from 2010 to 2020 M. Du et al.
- Merging TROPOMI and eddy covariance observations to quantify 5-years of daily CH4 emissions over coal-mine dominated region W. Hu et al.
- Assessing the impact of natural factors on CH₄ concentrations in Chinese cities from 2009 to 2023 Z. Linjing et al.
- Reconciling Bottom–Up and Top–Down Approaches to Quantify Sub-Regional Methane Emissions with Improved Inventory and Three-Year High-Resolution Satellite Measurements C. He et al.
- Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: ground-based observations, TROPOMI data, inventory data, and inversions P. Han et al.
- Measurement, Reporting, and Verification of Agricultural and Livestock Emissions: A Combined Systematic and Bibliometric Review N. Tsigkas et al.
- Rio (1992) to Glasgow (2021): Three decades of inadequate mitigation of climate change and its slow onset effects I. Stavi
- Atmospheric methane retrieval and validation using FY-3F/ HIRAS-II observations W. Fang et al.
- Tracking regional CH4 emissions through collocated air pollution measurement: a pilot application and robustness analysis in China Y. Li & B. Zheng
- Natural Gas Leakage Ratio Determined from Flux Measurements of Methane in Urban Beijing Y. Huangfu et al.
- Fossil-Fuel and Food Systems Equally Dominate Anthropogenic Methane Emissions in China S. Liu et al.
- Global warming will largely increase waste treatment CH4 emissions in Chinese megacities: insight from the first city-scale CH4 concentration observation network in Hangzhou, China C. Hu et al.
- A comprehensive inventory of China's methane emissions: Insights and changes from 2010 to 2020 Y. Shi et al.
- Agricultural Sector Homologous Emission Inventory of Air Pollutants and Greenhouse Gases for China X. Zhang et al.
- China's methane emissions derived from the inversion of GOSAT observations with a CMAQ and EnKS-based regional data assimilation system X. Kou et al.
- The Chinese Carbon-Neutral Goal: Challenges and Prospects N. Zeng et al.
- Methane emissions from China: a high-resolution inversion of TROPOMI satellite observations Z. Chen et al.
- Top-down inversion of urban-scale sectoral methane (CH4) emissions and their response to environmental drivers W. Zhao et al.
- Spatiotemporal decoupling CH4 emission from economic growth and future trend in categorized Chinese cities C. Xu et al.
- Spatial and Temporal Variations of Atmospheric CH4 in Monsoon Asia Detected by Satellite Observations of GOSAT and TROPOMI H. Song et al.
- Decreasing methane emissions from China’s coal mining with rebounded coal production J. Gao et al.
- Seamless mapping of long-term (2010–2020) daily global XCO2 and XCH4 from the Greenhouse Gases Observing Satellite (GOSAT), Orbiting Carbon Observatory 2 (OCO-2), and CAMS global greenhouse gas reanalysis (CAMS-EGG4) with a spatiotemporally self-supervised fusion method Y. Wang et al.
- Accuracy of tracer-based methane flux quantification: underlying impact of calibrating acetylene measurements A. Shah et al.
- High-resolution regional inversion reveals overestimation of anthropogenic methane emissions in China S. Feng et al.
- Paving the way for sustainable agriculture: An analysis of evolution and driving forces of methane emissions reduction in China Z. Xu et al.
- Effect of Surface Methane Controls on Ozone Concentration and Rice Yield in Asia K. Tatsumi
- Quantification of Central and Eastern China's atmospheric CH4 enhancement changes and its contributions based on machine learning approach X. Ai et al.
- The Tibetan Plateau acts as a net greenhouse gas sink T. Wang et al.
- Spatiotemporal investigation of near-surface CH4 and factors influencing CH4 over South, East, and Southeast Asia M. Khaliq et al.
- Structural changes and impacts of methane emissions in China S. Yu et al.
- High-resolution inversion of urban methane emissions in the Chengdu–Chongqing economic circle using ground-based observations and a dynamic error Bayesian framework Z. Xia et al.
- Estimation of Anthropogenic CH4 and CO2 Emissions in Taiyuan‐Jinzhong Region: One of the World's Largest Emission Hotspots C. Hu et al.
Saved (final revised paper)
Latest update: 04 May 2026
Short summary
CH4 is a potent greenhouse gas, and China’s anthropogenic CH4 emissions account for a large proportion of global total emissions. However, the existing estimates either focus on a specific sector or lag behind real time by several years. We collected and analyzed 12 datasets and compared them to reveal the spatiotemporal changes and their uncertainties. We further estimated the emissions from 1990–2019, and the estimates showed a robust trend in recent years when compared to top-down results.
CH4 is a potent greenhouse gas, and China’s anthropogenic CH4 emissions account for a large...
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