Articles | Volume 17, issue 1
Atmos. Chem. Phys., 17, 235–256, 2017
https://doi.org/10.5194/acp-17-235-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: Data assimilation in carbon/biogeochemical cycles: consistent...
Review article
04 Jan 2017
Review article
| 04 Jan 2017
Global inverse modeling of CH4 sources and sinks: an overview of methods
Sander Houweling et al.
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- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
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43 citations as recorded by crossref.
- Chemical Feedback From Decreasing Carbon Monoxide Emissions B. Gaubert et al. 10.1002/2017GL074987
- A gridded inventory of anthropogenic methane emissions from Mexico based on Mexico’s national inventory of greenhouse gases and compounds T. Scarpelli et al. 10.1088/1748-9326/abb42b
- An observation-constrained assessment of the climate sensitivity and future trajectories of wetland methane emissions E. Koffi et al. 10.1126/sciadv.aay4444
- Emissions from the Oil and Gas Sectors, Coal Mining and Ruminant Farming Drive Methane Growth over the Past Three Decades N. CHANDRA et al. 10.2151/jmsj.2021-015
- A comprehensive and synthetic dataset for global, regional, and national greenhouse gas emissions by sector 1970–2018 with an extension to 2019 J. Minx et al. 10.5194/essd-13-5213-2021
- An assessment of natural methane fluxes simulated by the CLASS-CTEM model V. Arora et al. 10.5194/bg-15-4683-2018
- Microbial Community Analyses Inform Geochemical Reaction Network Models for Predicting Pathways of Greenhouse Gas Production R. Wilson et al. 10.3389/feart.2019.00059
- The Global Methane Budget 2000–2017 M. Saunois et al. 10.5194/essd-12-1561-2020
- Towards accurate methane point-source quantification from high-resolution 2-D plume imagery S. Jongaramrungruang et al. 10.5194/amt-12-6667-2019
- Satellite-derived methane hotspot emission estimates using a fast data-driven method M. Buchwitz et al. 10.5194/acp-17-5751-2017
- Assessing the capability of different satellite observing configurations to resolve the distribution of methane emissions at kilometer scales A. Turner et al. 10.5194/acp-18-8265-2018
- Improved Chemical Tracer Simulation by MIROC4.0-based Atmospheric Chemistry-Transport Model (MIROC4-ACTM) P. Patra et al. 10.2151/sola.2018-016
- Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS) R. Hoesly et al. 10.5194/gmd-11-369-2018
- Comparative analysis of low-Earth orbit (TROPOMI) and geostationary (GeoCARB, GEO-CAPE) satellite instruments for constraining methane emissions on fine regional scales: application to the Southeast US J. Sheng et al. 10.5194/amt-11-6379-2018
- Advancing Scientific Understanding of the Global Methane Budget in Support of the Paris Agreement A. Ganesan et al. 10.1029/2018GB006065
- Interpreting contemporary trends in atmospheric methane A. Turner et al. 10.1073/pnas.1814297116
- Isotopic Characterization (2H, 13C, 37Cl, 81Br) of Abiotic Degradation of Methyl Bromide and Methyl Chloride in Water and Implications for Future Studies A. Horst et al. 10.1021/acs.est.9b02165
- Reviews and syntheses: guiding the evolution of the observing system for the carbon cycle through quantitative network design T. Kaminski & P. Rayner 10.5194/bg-14-4755-2017
- Methane detection and quantification in the upstream oil and gas sector: the role of satellites in emissions detection, reconciling and reporting J. Cooper et al. 10.1039/D1EA00046B
- Updated Global Fuel Exploitation Inventory (GFEI) for methane emissions from the oil, gas, and coal sectors: evaluation with inversions of atmospheric methane observations T. Scarpelli et al. 10.5194/acp-22-3235-2022
- Bayesian atmospheric tomography for detection and quantification of methane emissions: application to data from the 2015 Ginninderra release experiment L. Cartwright et al. 10.5194/amt-12-4659-2019
- Methane Emission Estimates by the Global High-Resolution Inverse Model Using National Inventories F. Wang et al. 10.3390/rs11212489
- Interannual variability on methane emissions in monsoon Asia derived from GOSAT and surface observations F. Wang et al. 10.1088/1748-9326/abd352
- Inverse modelling of European CH<sub>4</sub> emissions during 2006–2012 using different inverse models and reassessed atmospheric observations P. Bergamaschi et al. 10.5194/acp-18-901-2018
- A review of four decades of atmospheric trace gas measurements at Cape Point, South Africa C. Labuschagne et al. 10.1080/0035919X.2018.1477854
- Global distribution of methane emissions, emission trends, and OH concentrations and trends inferred from an inversion of GOSAT satellite data for 2010–2015 J. Maasakkers et al. 10.5194/acp-19-7859-2019
- Evaluation of a new methane calibration system at JMA for WCC Round Robin experiments H. Matsueda et al. 10.2467/mripapers.67.57
- Anthropogenic methane plume detection from point sources in the Paris megacity area and characterization of their δ13C signature I. Xueref-Remy et al. 10.1016/j.atmosenv.2019.117055
- Seasonal Variations of CH4 Emissions in the Yangtze River Delta Region of China Are Driven by Agricultural Activities W. Huang et al. 10.1007/s00376-021-0383-9
- Permafrost carbon emissions in a changing Arctic K. Miner et al. 10.1038/s43017-021-00230-3
- Multi-scale temporal variation in methane emission from an alpine peatland on the Eastern Qinghai-Tibetan Plateau and associated environmental controls H. Peng et al. 10.1016/j.agrformet.2019.107616
- Methane emissions in the United States, Canada, and Mexico: evaluation of national methane emission inventories and 2010–2017 sectoral trends by inverse analysis of in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) atmospheric observations X. Lu et al. 10.5194/acp-22-395-2022
- Inversion Estimates of Lognormally Distributed Methane Emission Rates From the Haynesville‐Bossier Oil and Gas Production Region Using Airborne Measurements Y. Cui et al. 10.1029/2018JD029489
- Country-Scale Analysis of Methane Emissions with a High-Resolution Inverse Model Using GOSAT and Surface Observations R. Janardanan et al. 10.3390/rs12030375
- Observational evidence of high methane emissions over a city in western India N. Chandra et al. 10.1016/j.atmosenv.2019.01.007
- Accelerating methane growth rate from 2010 to 2017: leading contributions from the tropics and East Asia Y. Yin et al. 10.5194/acp-21-12631-2021
- Global methane budget and trend, 2010–2017: complementarity of inverse analyses using in situ (GLOBALVIEWplus CH<sub>4</sub> ObsPack) and satellite (GOSAT) observations X. Lu et al. 10.5194/acp-21-4637-2021
- Methane Emission Estimation of Oil and Gas Sector: A Review of Measurement Technologies, Data Analysis Methods and Uncertainty Estimation S. Sun et al. 10.3390/su132413895
- A gridded inventory of Canada’s anthropogenic methane emissions T. Scarpelli et al. 10.1088/1748-9326/ac40b1
- Investigation of the global methane budget over 1980–2017 using GFDL-AM4.1 J. He et al. 10.5194/acp-20-805-2020
- The Community Inversion Framework v1.0: a unified system for atmospheric inversion studies A. Berchet et al. 10.5194/gmd-14-5331-2021
- Diagnostic methods for atmospheric inversions of long-lived greenhouse gases A. Michalak et al. 10.5194/acp-17-7405-2017
- The development of the Atmospheric Measurements by Ultra-Light Spectrometer (AMULSE) greenhouse gas profiling system and application for satellite retrieval validation L. Joly et al. 10.5194/amt-13-3099-2020
Saved (final revised paper)
Latest update: 08 Aug 2022
Short summary
The aim of this paper is to present an overview of inverse modeling methods, developed over the years, for estimating the global sources and sinks of the greenhouse gas methane from atmospheric measurements. It provides insight into how techniques and estimates have evolved over time, what the remaining shortcomings are, new developments, and promising future directions.
The aim of this paper is to present an overview of inverse modeling methods, developed over the...
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