Hydroelectric power is the dominant source of renewable energy globally. In 2017, it comprised 13% of global electricity production in OECD (Organization for Economic Co-operation and Development) countries (International Energy Agency, 2018), and 2.5% of global energy production. While electricity from hydropower can replace electricity from carbon-intensive sources such as coal and gas, reservoirs also emit methane (CH 4 ) which could negate some of the carbon benefits of switching to hydropower. CH 4 is a potent greenhouse gas with >32 times the warming potential of carbon dioxide over a 100-year time horizon (Etminan et al., 2016). Prior global CH 4 emissions estimates suggest 3 Tg C of CH 4 yr −1 is released from reservoir surfaces (Barros et al., 2011). This estimate increases to 13.3 Tg C as CH 4 yr −1 after accounting for spillways, turbines, river reaches below dams, and periodically inundated drawdown areas around the reservoir (Li & Zhang, 2014). While useful, these estimates are based on empirical relationships between emissions and potential drivers, and do not provide a process-based understanding of the main drivers and pathways for reservoir CH 4 production and releases, which would aid in development of mitigation strategies. Here we develop, evaluate, and apply a new mechanistic model of the processes driving global hydroelectric reservoir CH 4 emissions.