AbstractThis study examines model-specific assumptions and projections of methane (CH₄) emissions in deep mitigation scenarios generated by integrated assessment models (IAMs). For this, scenarios of nine models are compared in terms of sectoral and regional CH₄emission reduction strategies, as well as resulting climate impacts. The models’ projected reduction potentials are compared to sector and technology-specific reduction potentials found in literature. Significant cost-effective and non-climate policy related reductions are projected in the reference case (10–36% compared to a “frozen emission factor” scenario in 2100). Still, compared to 2010, CH₄emissions are expected to rise steadily by 9–72% (up to 412 to 654 Mt CH₄/year). Ambitious CO₂reduction measures could by themselves lead to a reduction of CH₄emissions due to a reduction of fossil fuels (22–48% compared to the reference case in 2100). However, direct CH₄mitigation is crucial and more effective in bringing down CH₄(50–74% compared to the reference case). Given the limited reduction potential, agriculture CH₄emissions are projected to constitute an increasingly larger share of total anthropogenic CH₄emissions in mitigation scenarios. Enteric fermentation in ruminants is in that respect by far the largest mitigation bottleneck later in the century with a projected 40–78% of total remaining CH₄emissions in 2100 in a strong (2 °C) climate policy case.