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Liquefied natural gas (LNG) is a promising alternative to coal to mitigate the greenhouse gas (GHG) and particulate emissions from power, industry, and district heating in China. While numerous existing life cycle assessment (LCA) studies estimate the GHG footprint of LNG, large variation exists in these results. Such variability could be caused by differing project designs, system boundaries, modeling methods and data sources. It is not clear which of these factors is the most important. Here, three research groups from Canada and the US performed independent LCAs of the same planned LNG supply chain from Canada to China. The teams applied different methods and assumptions but used aligned system boundaries and worked with a single upstream producer to obtain production data. The GHG emissions of Canadian LNG to China for power and heat generation were found to be 427–556 g CO 2 -eq/kWh and 81–92 g CO 2 -eq/MJ. Compared with Chinese coal for power generation, 291–687 g CO 2 -eq (34%–62%) reduction can be achieved per kWh of power generated. The central tendency in each study is aligned more closely than the overall uncertainty range: thus, uncertainty caused by fundamental data challenges likely outweighs variability caused by use of different LCA methods. Differences in assumptions and methods among the three teams lead to moderate variation at the stage level, but in better agreement at the life-cycle level, showing the existence of compensating variation. Given the robustness to very different LCA methods, existing literature variation may be explained by project-, location- and operator-dependent parameters. • Three independent LCAs on the same LNG system using different methods and assumptions. • Large GHGs mitigation by displacing Chinese coal with Canadian LNG for power/heat generation. • Methods variation has less impact on life-cycle results than location- and operation-dependent factors. • Using both industrial and literature data can enhance the robustness of the life-cycle results. [ABSTRACT FROM AUTHOR]