Skip to main content
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences logoLink to Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
. 2021 Sep 27;379(2210):20200454. doi: 10.1098/rsta.2020.0454

Atmospheric methane removal: a research agenda

Robert B Jackson 1,2,, Sam Abernethy 1,3, Josep G Canadell 7, Matteo Cargnello 4, Steven J Davis 8, Sarah Féron 1, Sabine Fuss 9,10, Alexander J Heyer 5, Chaopeng Hong 8, Chris D Jones 11, H Damon Matthews 12, Fiona M O'Connor 11, Maxwell Pisciotta 13, Hannah M Rhoda 5, Renaud de Richter 14, Edward I Solomon 5,6, Jennifer L Wilcox 13, Kirsten Zickfeld 15
PMCID: PMC8473948  PMID: 34565221

Abstract

Atmospheric methane removal (e.g. in situ methane oxidation to carbon dioxide) may be needed to offset continued methane release and limit the global warming contribution of this potent greenhouse gas. Because mitigating most anthropogenic emissions of methane is uncertain this century, and sudden methane releases from the Arctic or elsewhere cannot be excluded, technologies for methane removal or oxidation may be required. Carbon dioxide removal has an increasingly well-established research agenda and technological foundation. No similar framework exists for methane removal. We believe that a research agenda for negative methane emissions—‘removal' or atmospheric methane oxidation—is needed. We outline some considerations for such an agenda here, including a proposed Methane Removal Model Intercomparison Project (MR-MIP).

This article is part of a discussion meeting issue 'Rising methane: is warming feeding warming? (part 1)'.

Keywords: methane oxidation, negative emissions, Methane Removal Model Intercomparison Project, iron salt aerosols, solar photocatalysts, zeolites

1. Introduction

The concentration (i.e. mole fraction) of methane (CH4) in the atmosphere continues to rise. The 14.7 ppb average global increase observed in 2020 was the largest of the past four decades [1]. Since 1750, its relative concentration has increased twice as fast as that of carbon dioxide (CO2) and is now more than 2.5 times pre-industrial levels [1]. Methane is the second most important anthropogenic greenhouse gas after CO2; the radiative forcings attributable to its direct (0.64 W m−2) and direct-plus-indirect effects (0.97 W m−2) are 38% and 58%, respectively, of the 1.68 W m−2 for CO2 [2].

Global methane emissions approached a record 600 Tg CH4 yr−1 in 2017 (figure 1, precise estimates and uncertainties shown in table 1), with anthropogenic sources contributing 61% of the total (approx. 365 Tg CH4 yr−1; [57]). The global total for 2017 was 50 Tg CH4 yr−1 more than the average for the period 2000–2006, primarily because anthropogenic emissions were 13% higher. Agriculture-related sources in 2017 contributed approximately two-thirds of global anthropogenic methane emissions (227 Tg CH4 yr−1) and fossil fuels contributed the other third (108 Tg CH4 yr−1), with a smaller contribution from biomass burning (28 Tg CH4 yr−1) [5].

Figure 1.

Figure 1.

Global anthropogenic CH4 emissions (Mt CH4 yr−1) for the recent past and up to 2100 following the SSP emissions scenarios. Black lines show historical estimates from Hoesly et al. [3]; coloured lines show future projected emissions under the SSP marker scenarios [4]. Solid lines denote anthropogenic total emissions, whereas dashed lines show emissions from agriculture alone. Data available from https://tntcat.iiasa.ac.at/SspDb (accessed 11 May 2021). (Online version in colour.)

Table 1.

Global methane emissions in 2017. Values are given in Tg CH4 yr−1 with minimum and maximum estimates in brackets (from data in [5,7]).

total anthropogenic agriculture fossil fuels biomass burning
596 (572–614) 364 (340–381) 227 (205–246) 108 (91–121) 28 (25–32)

As the dominant global source of anthropogenic methane, agricultural emissions are attributable primarily to cattle, sheep, and other ruminants, rice farming, and managing manures and waste. Methane emissions from agriculture continue to rise (figure 1), driven by global increases in total and per capita meat consumption as global population and wealth grow [8]. A number of technological and behavioural changes can, and likely will, reduce methane emissions substantially [9,10].

Reaching zero methane emissions in global food production appears particularly unlikely this century (figure 1). Dietary supplements such as essential oils and red algae can reduce methane emissions from individual cattle and sheep, but they sometimes do so at the expense of feed digestion and fermentation efficiency [11]. For rice farming, a meta-analysis of 52 studies found that non-continuous flooding reduced methane emissions by 53% on average compared to continuously flooded paddies; however, nitrous oxide (N2O) emissions increased by 105% and yield decreased by 4% [12]. Agricultural activities also dominate anthropogenic emissions of N2O [13] along with those of CH4 [14].

Methane emissions associated with the extraction, distribution, and use of fossil fuels grew by one-sixth from the early 2000s to 2017 [5,7]. New satellite, drone and other image-based approaches are helping to find and reduce fossil-fuel-related emissions (e.g. [15]). Although perhaps not as intractable as eliminating agricultural emissions, eliminating all fugitive and other emissions associated with energy extraction and use also seems difficult, unless fossil fuel consumption were to end entirely [16].

Along with difficulties in reaching zero methane emissions from agriculture and fossil fuel use, Earth-system feedbacks could rapidly increase methane emissions from natural systems [17,18]. Potential methane release from permafrost systems in the East Siberian Arctic Shelf (ESAS) is one possibility. This concern arises from suggestions that rapid methane release 55 million years ago at the boundary of the Paleocene and Eocene epochs triggered temperature increases of 5–8°C globally [18]. A recent study in the nearshore environment of the ESAS showed that ice-bonded permafrost had retreated 14 cm yr−1 over the past three decades [19]. Such subsea permafrost degradation or loss of coastal methane clathrates could lead to bursts of methane reaching the atmosphere, depending on water depth and other factors. Although recent shipborne and latitudinal analyses of methane emissions do not suggest that increased emissions from Arctic systems have begun [5,7,20], a future scenario of accelerated methane release is possible [21,22].

Atmospheric methane removal may be needed to offset continued methane release and limit the global warming contribution of this potent greenhouse gas. Eliminating most anthropogenic methane emissions is unlikely this century, and sudden methane release from the Arctic or elsewhere cannot be excluded, so technologies for negative emissions of methane may be needed. Carbon dioxide removal (CDR) has a well-established research agenda, technological foundation and comparative modelling framework [2328]. No such framework exists for methane removal. We outline considerations for such an agenda here. We start by presenting the technological considerations for methane removal: energy requirements (§2a), specific proposed technologies (§2b), and air processing and scaling requirements (§2c). We then outline the climate and air quality impacts and feedbacks of methane removal (§3a) and argue for the creation of a Methane Removal Model Intercomparison Project (§3b), a multi-model framework that would better quantify the expected impacts of methane removal. In §4, we discuss some broader implications of methane removal.

2. Technological aspects of methane removal

(a) . Energy requirements of methane removal

We first compare and contrast aspects of CH4 and CO2 removal. In contrast to CO2, CH4 can be oxidized catalytically, without the need for capture, in a thermodynamically favourable reaction: CH4 + 2O2 → CO2 + 2H2O (ΔHr = −803 kJ mol−1), although such a reaction is difficult at typical conditions of atmospheric temperature and pressure [29]. Because of methane's potency as a greenhouse gas (34 times higher Global Warming Potential (GWP) than CO2 on a century timescale and 86 times higher on a 20-year timescale, [30]), considerably less methane removal is needed to realize the same climate impact. In fact, methane concentrations could in principle be restored to preindustrial levels (approx. 750 ppb) by removing approximately 3.2 of the 5.3 Gt CH4 currently found in the atmosphere [31], though methane could only be maintained at preindustrial levels by continuous removal that at least balanced anthropogenic methane emissions, currently 0.36 Gt CH4 yr−1 (table 1). This amount is orders of magnitude lower than annual anthropogenic emissions of carbon dioxide, which are currently approximately 40 Gt CO2 [32]. Some disadvantages of removing CH4 compared with CO2 are its relative scarcity in the atmosphere (200 times less abundant) and its lack of a quadrupole moment or weak acidity that, in the case of CO2, can be exploited for concentration and capture.

This relative scarcity of methane in the atmosphere leads to a higher minimum energy requirement for methane removal compared to CO2. The goal in a system meant to separate methane from air is to isolate dilute methane from the ambient air and separate it into a higher purity stream that can later be oxidized (forming CO2 and H2O) or used. We consider the absolute minimum thermodynamic work to separate species that must be provided to a system, given that it is reversible, isothermal and isobaric. This value depends on the inlet purity, outlet purity and per cent capture of the system, resulting in a logarithmic rather than linear relationship with inlet concentration. The empirical formula for this is given by Minimum Thermodynamic Work of Separation [33,34]

Wmin=RT(nB,sln(yB,s)+nBsln(yBs))+RT(nc,sln(yC,s)+nCsln(nCs))RT(nA,sln(yA,s)+nAsln(yAs)), 2.1

where R is the ideal gas constant, T is the temperature in K, ni,s is the molar flow rate of a specific species in a stream, i, which can be either A, B or C, representing the inlet, species-rich and exhaust streams, respectively, nis is the molar flow rate of the stream not containing the specific species, yi,s is the mole fraction of the specific species in a stream and yis is the mole fraction of the stream not containing the specific species.

In the case of capturing CO2 from the atmosphere at an average concentration of 410 ppm with a capture fraction of 70% and an outlet purity of 97% CO2, the minimum work is approximately 20.2 kJ mol−1 CO2 [34]. The energy requirement decreases as the concentration of CO2 increases. For example, the CO2 concentration of a natural gas exhaust stream is often 3–5% (30 000–50 000 ppm). Given the same capture fraction and outlet purity, the minimum work of CO2 capture would be 8–9 kJ mol−1 CO2 [34].

Here, we estimate the minimum work of separation for methane in a generic process. The inlet concentration of CH4 is assumed to be the average atmospheric concentration, approximately 1.88 ppm [1], approximately 200 times more dilute than atmospheric CO2. The increased dilution results in a minimum work of separation of nearly 33.5 kJ mol−1 CH4, at the same capture fraction of 70% and outlet purity of 97% CH4 that we used for CO2. This minimum work of separation is 60% higher for methane than for CO2 in the atmosphere, meaning that the minimum energy per mole removed for a methane removal system is 60% higher than for a CO2 removal system. However, because of the higher radiative forcing of methane, removing one mole from the atmosphere has a greater short-term climate impact than removing one mole of CO2.

To illustrate the higher radiative forcing associated with methane, the minimum work is normalized to a measure of MJ per ton of CO2 equivalent (MJ/tCO2eq) using a global warming potential over a 20-year time horizon (GWP20) of 86 and over a 100-year time horizon (GWP100) of 34. With the same capture fraction of 70% and outlet purity of 97%, the minimum work of methane capture is 24 MJ/tCO2eq and 62 MJ/tCO2eq using GWP20 and GWP100, respectively. For CO2, the minimum work of capture is 459 MJ/tCO2, meaning that the minimum work of capture for the same radiative forcing impact is 7 times lower using methane's GWP20 and 19 times lower using GWP100. Figure 2 shows how the minimum work of atmospheric methane capture varies with concentration and outlet purity, while holding capture fraction constant at 70%.

Figure 2.

Figure 2.

Minimum work of methane capture, holding capture fraction constant at 70% for different locations, the ambient air, the Permian Basin (as an example of a slightly higher 3 ppm CH4 case), and a dairy farm, corresponding to various concentrations, 1.88 ppm, 3.00 ppm and 906 ppm, respectively, normalized to MJ/tCO2eq using (a) GWP20 value of 86 and (b) GWP100 value of 34. (Online version in colour.)

As the concentration of methane increases, the minimum work of separation decreases. This fact emphasizes that addressing higher concentration sources first is desirable, just as it is for CO2 removal, and that as more CH4 is captured directly from ambient air, further capture will require more work per unit CH4 removed as the background concentration drops. However, this may be remedied by strategically centring efforts of methane capture near regions where the methane concentration is consistently higher than in ambient air, including those associated with oil or natural gas extraction, abandoned coal mines, landfills and agriculture [35]. Technically, such efforts would be better described as methane mitigation because they target oxidizing elevated methane concentrations from known sources rather than methane at average concentrations in the bulk atmosphere. A dairy farm, where methane concentrations can be as high as 1000 times the average atmospheric concentration [36], is representative of a sector where methane emissions may be relatively difficult to eliminate, and methane oxidation could be strategic to employ. Avoiding methane emissions through local mitigation first—wherever possible—will almost always be less expensive and energy-intensive than methane removal from the bulk atmosphere.

(b) . Methane removal technologies

Atmospheric CO2 removal has a long history of research and a broad range of approaches studied [25,26]. Biological approaches for CO2 removal include reforestation/afforestation, soil carbon sequestration, biomass energy with carbon capture and storage and ocean iron fertilization; chemical or physical approaches include direct air capture of CO2 from ambient air, enhanced mineral weathering and enhanced ocean alkalinity (e.g. [27,37]). Some degree and type of CDR is included in all scenarios that keep average global surface warming below 1.5°C and most that keep it below 2°C [38], with many analyses examining the feasibility of removing approximately 10 Gt CO2 yr−1 [3941], roughly one quarter of current total anthropogenic emissions [32].

In contrast to a well-established research community around negative emissions of CO2, the possibility of negative emissions for methane has been explored only relatively recently [31,42,43]. Soil-based agricultural approaches have a longer history of study (e.g. [44,45]), although often as mitigation from known sources rather than removal of methane from bulk air.

Here, we describe broad classes of technologies for methane removal, including photocatalysts, metal catalysts associated with zeolites and porous polymer networks, biological methane removal, including industrial approaches and approaches for managing soils in agricultural or other ecosystems, and iron-salt aerosol formation (table 2). For each of these technologies, research is needed on its cost, technological efficiency, scaling and energy requirements, social barriers to deployment, co-benefits and potential negative by-products. Research is also needed broadly on methane sorption to concentrate methane from low-concentration background air; having better sorbents would make methane removal technologies more efficient generally.

Table 2.

Summary table of some methods for extracting methane from the atmosphere.

method class medium air flow sample references
photocatalysts catalytic substrate in air active or passive [46] Nature
zeolites or PPNs metal catalysts substrate in air active or passive [31] Nature Sustain.
iron-salt aerosols physical air passive [47] ESD
biotrickling filters biological substrate in air active or passive [48] Ecol. Eng.
soil amendments biological soil passive [44] Nutrient Cycling in Agroecosys.

Photocatalysts have the ability to oxidize methane and other hydrocarbons through heterogeneous (multi-phase) catalysis. One such catalyst is solid titanium dioxide (TiO2), a pigment used in paints and sunscreens. TiO2 is photocatalytically active when exposed to ultraviolet (UV) radiation [49] and can catalyse the same reaction that occurs when a flare burns methane:

CH4+2O22H2O+CO2. 2.2

In general, the reaction products desorb or release after their formation [46,50], eliminating the need for concentration and capture that occurs with geological carbon sequestration, but allowing molecules of the less potent greenhouse gas CO2 to enter the atmosphere [43]. Photocatalysts such as TiO2 can be applied in thin films to maximize surface contact with air. Silver-decorated zinc oxide (Ag-ZnO) nanocatalysts are another class of methane photo-oxidants; Chen et al. [46] coated ZnO semiconductors with Ag and documented a quantum yield of 8% at wavelengths less than 400  nm and greater than 0.1% at wavelengths of approximately 470  nm achieved for methane oxidation on the Ag-ZnO nanostructures.

Cu- and Fe-zeolites and porous polymer networks (PPNs) are two families of methane-oxidizing catalysts already of interest for converting methane to methanol (CH3OH), a partial oxidation product compared with fully oxidized CO2. Methanol has a much shorter lifetime than methane (weeks instead of years). Aluminosilicate zeolites have been well studied for the adsorption of CO2 from the atmosphere. Methane can also be concentrated from the atmosphere, but its interaction with the zeolite is weaker, on the order of approximately 5 kcal mol−1, as it relies only on van der Waals interactions with the oxygen atoms in the walls of the zeolite lattice; by contrast, CO2's heat of adsorption can be as high as 14 kcal mol−1 given interactions with the CO2 quadrupole [51]. Scientists have screened more than 87 000 zeolite structures as potential methane sorbents [52]. After methane molecules are weakly bound by oxygen groups on the zeolite, Cu, Fe or other metal ions embedded on the lattice can oxidize the sorbed methane and release it as CO2 [31]. For specific zeolite topologies, the physisorption interaction with a constricted pocket in the lattice can contribute to lowering the apparent activation barrier in the catalysis of methane oxidation (figure 3) [53]. Relatively low-temperature methane oxidation for producing methanol has already been documented in zeolites such as Cu-ZSM-5 and Fe-ZSM-5, with Fe zeolites able to oxidize methane at room temperature [52,54]. Metal or other catalysts can also be deposited on, or embedded in, PPNs [55]. PPNs can be synthesized so that functional groups on the polymer backbone interact with methane in the micropores of the network. Higher temperatures and pressures lead to greater conversion efficiencies.

Figure 3.

Figure 3.

Comparison of two reaction coordinates for cleaving the strong H-C bond of CH4 (the first step in methane oxidation). The top (blue) reaction coordinate is for an H-atom abstraction of CH4 reacting with a CuII-O-CuII active site that is exposed on the zeolite lattice. The bottom (red) reaction coordinate is for the same reaction as the top but with the CuII-O-CuII active site located in a small pocket of a zeolite lattice. The strong physisorption of methane by the zeolite pocket (shown in the bottom box) lowers the apparent activation barrier for the reaction (top right (green) arrow shows the decrease in the transition state energy in red relative to blue reaction). (Online version in colour.)

Microbes provide the second-largest natural sink for atmospheric methane of approximately 40 Tg methane annually [5]. At least two microbial groups, anaerobic archaea and aerobic methanotrophic bacteria, possess enzymes that oxidize methane: methane monooxygenase and methyl coenzyme M reductase [56]. These metalloenzymes also use Cu, Fe, or other metal sites for catalysis and have interesting parallels with the metallozeolites [57]. Efforts are underway to embed enzymes within three-dimensionally printed polymers that demonstrated promise in maintaining their stability [58]. Consortia of microbes have also been shown to couple the direct, anaerobic oxidation of methane to denitrification of nitrate, raising the potential of multi-gas mitigation [59]. Biologically mediated methane-to-methanol conversions are of particular interest in wastewater treatment systems where methanol is used to enhance denitrification rates [60].

Enhanced microbial oxidation of methane in agricultural and other soils or in artificial substrates (e.g. biotrickling filters) is a microbially based approach for methane mitigation or atmospheric removal (e.g. [44,45]). Han et al. [61] showed that amendments of biochar derived from rice straw reduced methane emissions from paddy soils by 40% in microcosm experiments, a case of methane mitigation from a known source (i.e. with elevated methane concentrations in air). The decrease was attributable to both decreased activity of methanogens and increased methane oxidation activity of methanotrophs. Sulfate additions have also been shown to reduce methane emissions from rice paddies [62]. Miller et al. [63] demonstrated that iron and humic acid amendments significantly suppressed in situ net methane fluxes by 26% in Arctic Alaska peatland soils, likely by enhancing alternative electron acceptor availability. This example is more analogous to methane removal from the bulk air because it was not associated with a known methane source.

Biotrickling filters have also been examined for methane removal from the atmosphere or methane mitigation from point sources such as landfills. Yoon et al. [64] modelled the feasibility of a biotrickling filtration system using methane-consuming bacteria to oxidize atmospheric methane. Their model indicated that atmospheric methane removal would be ineffective because the methane concentration is too low to enable cell survival. However, if concentrations were increased to 500–6000 ppmv CH4, similar to concentrations found near some landfills and concentrated animal feeding operations, 5 to 40 tons of methane could be mitigated per biofilter per year, depending on parameter assumptions in the model. Biocovers and biofilters containing methanotrophs are already used for methane mitigation from smaller or older landfills [48,65]. There is no a priori reason why biotrickling filters couldn't in principle be optimized for atmospheric removal more broadly.

Finally, researchers have proposed iron-salt aerosols (ISA) as a methane removal method [47,66]. ISA approaches attempt to convert methane into CO2 in the lower troposphere by enhancing natural sinks of the hydroxyl radical °OH (responsible for 90% of the natural methane sink) and the chlorine atom Cl (3–4% of the natural methane sink) [47]. This method mimics natural reactions associated with mineral dust particles in the atmosphere. Mineral dust contains iron, a micronutrient that can enhance ocean primary productivity and withdraw atmospheric CO2 [67,68]. Iron catalyses both °OH generation, through Fenton and photo-Fenton reactions in clouds and rain droplets [69,70], and Cl generation in sea salt aerosols [71,72]. The proposed method would enhance methane removal by releasing iron salt aerosols in the lower troposphere [47,66], increasing the Cl sink four-to-six-fold during the day and continuing to enhance the °OH sink at night. Cl atoms react with methane 16 times faster than °OH atoms do, and the iron(III)/iron(II) present in catalytic amounts could increase densities of Cl atoms provided by abundant sea-salt. ISAs have been invoked to explain why, just before the ice ages, the concentrations of both CO2 and methane decreased simultaneously; ice cores extracted from both Arctic and Antarctic poles show that there was 4–7 times more mineral dust during the glacial periods compared to the warmer interglacials [73].

(c) . Air processing and scaling requirements

Large volumes of air must be processed to realize Tg-scale conversion of methane to CO2. Air handling could pass through an initial step of adsorption, concentrating methane before contact with catalysts, radicals, or microbes (see above). Alternatively, active or passive systems could be used to remove methane directly at atmospheric concentrations. Electric fans powered by renewable fuels could be used to move the air in active systems [31,74], but research is needed to optimize rates of methane conversion against pressure drop through the system (e.g. [6,7,75]). By contrast, natural winds and air currents can provide air movement for passive removal systems; wind-based passive systems have been proposed for capturing CO2 based on anion-exchange and absorbent resins [76].

At larger scales, the generation of artificial wind for electricity generation has been proposed using solar updraft chimneys (SUC). These possibilities range from small ventilation systems for houses or buildings, inspired by Trombe walls [77], to full-scale 200–400 MW power plants generating carbon-free renewable energy [78]. A SUC uses a solar collector to warm air by the greenhouse effect; the hotter-than-ambient air then rises and a chimney enhances its speed by stack effect, turning turbines to generate electricity [78]. SUCs coupled with photocatalysts (activated by sunlight at ambient temperature) have been proposed as a removal method for methane [43], N2O [79] and halocarbons [80]. Photocatalysts coating the solar collector do not induce a pressure drop or energy loss, in contrast to active systems for CO2 capture or methane removal that may induce a pressure drop of approximately 100 Pa and a reduction of 20–25% of electricity output [81].

Regardless of the technology deployed, the volumes of air needed to be processed are substantial. At 15°C and 1013.25 hPa (abs), the density of air is 1.225 kg m−3. With a methane concentration of 1.88 ppm and a hypothetical conversion efficiency of 50%, the mass of air required to remove 1 Tg methane would be 2 × 106 Tg, or 0.04% of the mass of the Earth's atmosphere. Such volumes are comparable in magnitude to those for direct air capture of CO2, where the scale of removal is Pg rather than Tg because the mass fraction of CO2 is 600 times greater. Studies are needed to evaluate aspects of scaling for all negative-emission technologies.

3. Impacts of methane removal

(a) . Climate impacts and feedbacks

We do not yet know whether or which methane removal technologies will prove commercially feasible at scale; further research and development are required for all of the examples we presented. We also argue that a better understanding of the climate and air quality benefits of methane removal is needed to enable a more complete cost-benefit analysis of the potential for methane removal. The potential atmospheric and Earth-system consequences of large-scale methane removal have complex feedbacks that need better quantification.

Methane removal clearly lowers atmospheric concentrations of methane, but the broader climate and air quality impacts of this removal will depend on methane's lifetime and how it is affected by changes in climate, methane concentration (e.g. the ‘methane-OH feedback factor'; [82]), and concentrations of other ozone precursors, among other factors. The latter two feedbacks are large, opposite in sign, and uncertain in pathways of rising methane and other ozone precursors [83], and will be important to quantify in scenarios of methane removal. The relationship between methane and tropospheric ozone is also uncertain and model-dependent (e.g. [8486]) and requires close study to determine potential benefits of methane removal to surface air quality. Other Earth system feedbacks include the role of climate in accelerating the methane cycle [87] and direct effects of CO2 on methane emissions from wetlands as biosphere productivity is enhanced (e.g. [88]).

Modelling of methane interactions with climate, carbon cycle and air quality has to date drawn on simplified models, such as stand-alone land-surface schemes (e.g. [89]) or reduced-complexity models [90,91]. These results have shed light on important aspects of the system, including quantifying uncertainties and feedbacks [92,93] and the influence of methane feedbacks on climate targets [94]. Now that Earth System Models are emerging that combine fully coupled General Circulation climate models with interactive representations of land and ocean biogeochemistry, atmospheric chemistry and aerosols [85,87], coordinating the use of such models is important to address new questions such as the role of methane removal.

For scale, the current best estimates of the expected relationship between methane and temperature include: a 40% reduction in methane emissions by 2050 is predicted to cause a temperature reduction of 0.3°C [95], whereas a 2% annual reduction in methane concentration is predicted to reduce temperature by 0.5°C by 2100 [96]. More recently, Allen et al. [97] found that reductions in methane concentration can lead to a climate benefit even with reductions in aerosols resulting from strong air quality abatement measures. However, these studies were for methane mitigation rather than removal. The first study of removal, made possible with a methane emissions-driven model, found slightly larger temperature effects: a 40% reduction in methane emissions by 2050, for example, caused a temperature reduction of 0.4°C [85]. For carbon dioxide, positive emissions lead to a temperature response of slightly different magnitude than for the same quantity of negative emissions [98]; whether the same holds true for methane is unclear and will require emissions-driven modelling to address.

Climate and Earth-system impacts of methane removal extend beyond temperature reductions, including potential improvements in air quality through reduced human-induced changes in surface ozone concentrations (e.g. [84,85,97,99]). Surface ozone concentrations are directly linked to hundreds of thousands of premature deaths annually [100], and previous studies of the impact of methane reduction on surface ozone estimated that the marginal cost-effectiveness of each avoided premature mortality is approximately $US 400 000 [101]. Reduced ozone levels also increase net primary productivity of vegetation and crop yields [102].

Atmospheric chemistry modelling and experimentation are also needed to explore the potential consequences of unintended parallel reactions. Examples include the partial oxidation of methane to carbon monoxide (CO), methanol (CH3OH), or, for iron-salt aerosols, chloromethane (CH3Cl) instead of CO2.

(b) . Methane removal model intercomparison project

Earth System Modelling and experiments can help to quantify the expected impacts of methane removal, particularly through the development of methane emissions-driven models that include interactive chemistry and carbon cycles. These would include the dependence of methane lifetime on methane itself and on other ozone precursors and allow for climate change feedbacks on methane lifetime and natural methane emissions from permafrost soils and wetlands. These feedbacks could affect the climate benefits of methane removal compared to those of CDR.

We recommend a Methane Removal Model Intercomparison Project to provide structure for a multimodel analysis. Similar to and inspired by previous analyses and intercomparisons for CO2 (e.g. [28,103]), a full investigation for methane removal is needed to examine:

  • (1)

    Scenarios of different timing and amounts of methane removal;

  • (2)

    Comparisons of the climate impacts and Earth-system feedbacks of methane removal in different atmospheric and climate scenarios (e.g. low- and high-emission);

  • (3)

    Spatially explicit simulations of methane removal at prescribed locations and latitudes (requiring models to have an ‘emissions-driven’ methane capability);

  • (4)

    Studies of how methane's relatively short lifetime, in conjunction with climate feedbacks on natural methane emissions, influences metrics of cumulative methane removal;

  • (5)

    Feedbacks with air quality, including tropospheric ozone (O3) concentrations, through OH chemistry and/or secondary aerosol formation;

  • (6)

    Interactions of methane removal with other mitigation and CDR approaches.

Studies are also needed to examine the impacts of methane removal beyond temperature and air quality by quantifying the consequences of different negative emissions technologies in terms of their land, water, and energy requirements and investment costs, as done previously for CO2 (e.g. [33,37,104]). Such an analysis would allow a more direct comparison between various greenhouse gas removal technologies, which could then be evaluated using integrated assessment models.

4. Discussion

Methane removal is a complement to, not a replacement for, mitigating methane and carbon dioxide emissions. If methane removal proves feasible and deployable at scale, methane's relatively large GWP over the first few decades could provide advantages compared to CO2 mitigation in slowing the near-term rate of global warming [105]. Combined with stringent CO2 emissions reductions and removals resulting in a temperature ‘overshoot' scenario, methane removal could also prove valuable for reducing peak temperatures, if it can be scaled sufficiently quickly.

Scenarios of methane removal should be evaluated formally, similar to research for CO2 removal, including experiments, modelling and technology development. These efforts should include the Methane Removal Model Intercomparison Project proposed above to examine the climate and Earth-system consequences of different methane removal amounts, locations and timings. Along with regional and global temperature outputs, model outputs could also be examined for changes in the number of extreme weather events, implications for air quality and other Earth-system feedbacks. Integrated assessment models could also be modified to include policy or pricing scenarios of methane removal, similar to evaluations of carbon dioxide removal.

All negative-emission technologies, including those for methane removal, need to be examined through the lens of social considerations that could limit research and deployment. Social pressures contributed to legal restrictions on iron fertilization in the oceans and have curbed deployment of geological carbon storage projects in Germany and the Netherlands [106]. Compared to CO2, one advantage of complementary methane removal technologies is that capture and storage are unnecessary, avoiding long-term monitoring costs and potential storage reversals. In California, for example, project operators are required to monitor a CO2 injection site for a century after injection to document permanence—that the CO2 is retained on site, typically in a geologic storage reservoir [107]. For purposes of verification, oxidizing CH4 to CO2 should be relatively simple to quantify in input and output gas streams. The main measurements needed are the flow rate of gas through the system and the changes in concentration for CH4 and CO2 (with occasional monitoring of partial oxidation by-products such as carbon monoxide). The methane offset can be verified in real time.

Another consideration for active methane-removal systems is the volume of air needed to be processed to remove teragrams of methane. If air handling is to be undertaken at large scales, it would make economic sense to convert other greenhouse gases simultaneously, particularly the catalytic reduction of N2O to N2 [31]. Although our current paper emphasizes methane removal, co-removal of other gases would reduce unit costs.

Currently, few financial incentives exist for large-scale methane or carbon dioxide removal by the private sector. Projects for greenhouse gas capture may therefore require significant public funding, policy mandates [106,108,109], or inclusion in a technology-neutral GHG pricing scheme. Although demonstration projects (e.g. small-scale plants and component testing facilities) can face ‘not in my backyard' opposition locally [110], they can sometimes bolster public support for greenhouse gas removal technologies. However, research is needed on the extent to which demonstration-scale plants for greenhouse gas capture may result in perceived ‘moral hazards', inadvertently reducing support for greenhouse gas emission mitigation [111].

Avoiding methane emissions through local mitigation at point sources will typically be less expensive and more efficient than removing methane from ambient air after emissions. However, local mitigation efforts may be insufficient for meeting the target of the Paris Agreement in terms of both scale and speed. Staying below the 1.5 or 2°C warming targets strongly depends on the energy sector, which has considerable system inertia [112]. Energy infrastructure facilities typically operate and are paid for over decades, which makes near-term substitutions of recently deployed energy plants expensive and unlikely [113].

Although existing methane mitigation approaches are needed globally, temperature stabilization by mid-century may also require new greenhouse gas removal technologies. As stipulated in Article 10, paragraph 5, of the Paris Agreement, accelerating, encouraging and enabling innovation is critical for an effective, long-term global response to climate change. Developing these greenhouse gas capture technologies will require technology development, including prototype testing in the laboratory and field. Just as importantly, new models for accelerating innovation and closing knowledge gaps on public acceptance and demand-side innovation are needed, including incentives for early adoption and developing niche markets [114]. Negative emission technologies are expected to become a key tool for climate change mitigation in the second half of the century and may help keep mitigation costs fairly low [112,115].

Finally, research on methane removal is warranted for scenarios where potential temperature increases rise above 2°C. Overshoot of 2°C global surface temperature appears increasingly likely given recent rates of greenhouse gas emissions [5,13,32,116,117]. Such overshoot would require greenhouse gas removal to bring atmospheric levels in line with a given temperature threshold. Beyond anthropogenic emissions, we also cannot ignore the possibility of accelerated methane release from natural systems, such as widespread permafrost thaw or release of methane hydrates from coastal systems in the Arctic. Such Earth-system feedbacks could require methane removal to offset releases even if anthropogenic emissions are reduced substantially.

For many reasons, then, we believe a systematic research program for methane removal is needed today that includes experiments, technology development and modelling. The Methane Removal Model Intercomparison Project proposed here can quantify the global and local impacts of methane removal, and allow for comparisons with carbon dioxide removal, potentially informing policy decisions. Testing of various methane removal technologies and validation at scale will clarify which approaches are most effective, acknowledging the priority of emissions reductions for methane and carbon dioxide.

Acknowledgements

We thank three anonymous reviewers whose suggestions improved the paper. We also thank Euan Nisbet for organizing the special feature (and the staff at Phil. Trans. A. for their assistance). This paper is a contribution of the Global Carbon Project (globalcarbonproject.org). The work was supported by the Stanford Woods Institute for the Environment (R.J. and S.A.), the Gordon and Betty Moore Foundation (R.J. and J.C.), and the National Sciences and Engineering Research Council of Canada (S.A.). C.D.J. and F.M.O.'C. were supported by the Met Office Hadley Centre Climate Programme funded by BEIS and Defra.

Data accessibility

This article has no additional data.

Authors' contributions

All authors contributed to the ideas presented in and the writing of the manuscript.

Competing interests

We declare we have no competing interests.

Funding

We received no funding for this study.

References

  • 1.Dlugokencky E. 2020. NOAA/ESRL. www.esrl.noaa.gov/gmd/ccgg/trends_ch4/.
  • 2.IPCC. 2014. Climate Change 2014: Mitigation of Climate Change. In Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Edenhofer O, et al.). Cambridge, UK: Cambridge University Press. [Google Scholar]
  • 3.Hoesly RM, et al. 2018. Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS). Geosci. Model Dev. 11, 369-408. ( 10.5194/gmd-11-369-2018.) [DOI] [Google Scholar]
  • 4.Riahi K, et al. 2017. The shared socioeconomic pathways and their energy, land use, and greenhouse gas emissions implications: an overview. Glob. Environ. Change 42, 153-168. ( 10.1016/j.gloenvcha.2016.05.009) [DOI] [Google Scholar]
  • 5.Saunois M, et al. 2020. The Global Methane Budget: 2000–2017. Earth System Sci. Data 12, 1561-1623. ( 10.5194/essd-12-1561-2020) [DOI] [Google Scholar]
  • 6.Jackson RB, Solomon EI, Canadell JG, Cargnello M, Field CB, Abernethy S. 2020. Reply to: practical constraints on atmospheric methane removal. Nat. Sustain. 3, 358-359. ( 10.1038/s41893-020-0498-5) [DOI] [Google Scholar]
  • 7.Jackson RB, et al. 2020. Increasing anthropogenic methane emissions arise equally from agricultural and fossil fuel sources. Environ. Res. Lett. 15, 071002. ( 10.1088/1748-9326/ab9ed2) [DOI] [Google Scholar]
  • 8.Godfray HCJ, et al. 2018. Meat consumption, health, and the environment. Science 361, eaam5324. ( 10.1126/science.aam5324) [DOI] [PubMed] [Google Scholar]
  • 9.Nisbet EG, et al. 2020. Methane mitigation: methods to reduce emissions, on the path to the Paris Agreement. Rev. Geophys. 58, 1-51. ( 10.1029/2019RG000675) [DOI] [Google Scholar]
  • 10.Johannison J, Hiete M. 2020. A structured approach for the mitigation of natural methane emissions—lessons learned from anthropogenic emissions. J. Carbon Res. 6, 24. ( 10.3390/c6020024) [DOI] [Google Scholar]
  • 11.Cobellis G, Trabalza-Marinucci M, Yu Z. 2016. Critical evaluation of essential oils as rumen modifiers in ruminant nutrition: a review. Sci. Total Environ. 545–546, 556-568. ( 10.1016/j.scitotenv.2015.12.103) [DOI] [PubMed] [Google Scholar]
  • 12.Jiang Y, Carrijoc D, Huang S, Chen J, Balaine N, Zhang W, van Groenigen KJ, Linquist B. 2019. Water management to mitigate the global warming potential of rice systems: a global meta-analysis. Field Crops Res. 234, 47-54. ( 10.1016/j.fcr.2019.02.010) [DOI] [Google Scholar]
  • 13.Tian H, et al. 2020. A comprehensive quantification of global nitrous oxide sources and sinks. Nature 586, 248-256. ( 10.1038/s41586-020-2780-0) [DOI] [PubMed] [Google Scholar]
  • 14.Hong C, Burney JA, Pongratz J, Nabel JEMS, Mueller ND, Jackson RB, Davis SJ. 2021. Global and regional drivers of land-use emissions in 1961–2017. Nature 589, 554-561. ( 10.1038/s41586-020-03138-y) [DOI] [PubMed] [Google Scholar]
  • 15.Duren RM, et al. 2019. California's methane super-emitters. Nature 575, 180-184. ( 10.1038/s41586-019-1720-3) [DOI] [PubMed] [Google Scholar]
  • 16.Brandt AR, et al. 2014. Methane leaks from North American natural gas systems. Science 343, 733-735. ( 10.1126/science.1247045) [DOI] [PubMed] [Google Scholar]
  • 17.O'Connor FM, et al. 2010. Possible role of wetlands, permafrost, and methane hydrates in the methane cycle under future climate change: a review. Rev. Geophys. 48, RG4005. ( 10.1029/2010rg000326) [DOI] [Google Scholar]
  • 18.Dean JF, et al. 2018. Methane feedbacks to the global climate system in a warmer world. Rev. Geophys. 56, 207-250. ( 10.1002/2017RG000559) [DOI] [Google Scholar]
  • 19.Shakhova N, et al. 2019. Current rates and mechanisms of subsea permafrost degradation in the East Siberian Arctic Shelf. Nat. Commun. 8, 15872. ( 10.1038/ncomms15872) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Thornton BF, Prytherch J, Andersson K, Brooks IM, Salisbury D, Tjernström M, Crill PM. 2020. Shipborne eddy covariance observations of methane fluxes constrain Arctic sea emissions. Sci. Adv. 6, eaay7934. ( 10.1126/sciadv.aay7934) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Nisbet EG. 2002. Have sudden large releases of methane from geological reservoirs occurred since the Last Glacial Maximum, and could such releases occur again? Phil. Trans. R. Soc. Lond. A 360, 581-607. ( 10.1098/rsta.2001.0958) [DOI] [PubMed] [Google Scholar]
  • 22.Gao X, Schlosser CA, Sokolov A, Anthony KW, Zhuang Q, Kicklighter D. 2013. Permafrost degradation and methane: low risk of biogeochemical climate-warming feedback. Environ. Res. Lett. 8, 035014. ( 10.1088/1748-9326/8/3/035014) [DOI] [Google Scholar]
  • 23.Fuss S, et al. 2016. Research priorities for negative emissions. Environ. Res. Lett. 11, 115007. ( 10.1088/1748-9326/11/11/115007) [DOI] [Google Scholar]
  • 24.Fuss S, Canadell JG, Ciais P, Jackson RB, Jones CD, Lyngfelt A, Peters GP, Van Vuuren DP. 2020. Moving toward net-zero emissions requires new alliances for carbon dioxide removal. One Earth 3, 145-149. ( 10.1016/j.oneear.2020.08.002) [DOI] [Google Scholar]
  • 25.Royal Society and Royal Academy of Engineering. 2019. Greenhouse Gas Removal. ISBN: 978-1-78252-349-9.
  • 26.National Academies of Sciences, Engineering, and Medicine. 2019. Negative emissions technologies and reliable sequestration: a research agenda. Washington, DC: The National Academies Press. [PubMed] [Google Scholar]
  • 27.Minx JC, et al. 2018. Negative emissions - Part 1: Research landscape and synthesis. Environ. Res. Lett. 13, 6. [Google Scholar]
  • 28.Keller DP, et al. 2018. The Carbon Dioxide Removal Model Intercomparison Project (CDRMIP): rationale and experimental protocol for CMIP6. Geosci. Model Dev. 11, 1133-1160. ( 10.5194/gmd-11-1133-2018) [DOI] [Google Scholar]
  • 29.Li Z, Hoflund GB. 2003. A review on complete oxidation of methane at low temperatures. J. Nat. Gas Chem. 12, 153-160. [Google Scholar]
  • 30.IPCC AR5. 2013. Anthropogenic and Natural Radiative Forcing. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Stocker TF, et al.). Cambridge, UK and New York, NY: Cambridge University Press. [Google Scholar]
  • 31.Jackson RB, Solomon EI, Canadell JG, Cargnello M, Field CB. 2019. Methane removal and atmospheric restoration. Nat. Sustain. 2, 436-438. ( 10.1038/s41893-019-0299-x) [DOI] [Google Scholar]
  • 32.Friedlingstein P, et al. 2019. Global Carbon Budget 2019. Earth Syst. Sci. Data 11, 1783-1838. ( 10.5194/essd-11-1783-2019) [DOI] [Google Scholar]
  • 33.House KZ, Baclig AC, Ranjan M, van Nierop EA, Wilcox J, Herzog H. 2011. Economic and energetic analysis of capturing CO2 from ambient air. Proc. Natl Acad. Sci. USA 108, 20 428-20 433. ( 10.1073/pnas.1012253108) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Wilcox J. 2012. Carbon capture, p. 24. New York: NY: Springer. [Google Scholar]
  • 35.Smith P, Reay D, Smith J. 2021. Agricultural methane emissions and the potential for mitigation. Phil. Trans. R. Soc. A 379, 20200451. (doi:10/1098/rsta.2020.0451) [DOI] [PubMed] [Google Scholar]
  • 36.Garnsworthy PC, Craigon J, Hernandez-Medrano JH, Saunders N. 2012. On-farm methane measurements during milking correlate with total methane production by individual dairy cows. J. Dairy Sci. 95, 3166. ( 10.3168/jds.2011-4605) [DOI] [PubMed] [Google Scholar]
  • 37.Smith P, et al. 2016. Biophysical and economic limits to negative CO2 emissions. Nat. Clim. Change 6, 42-50. ( 10.1038/nclimate2870) [DOI] [Google Scholar]
  • 38.Rogelj J, et al. 2018. Mitigation pathways compatible with 1.5°C in the context of sustainable development. In Global warming of 1.5°C: An IPCC special report on the impacts of global warming of 1.5°C above Pre-industrial levels and related global greenhouse Gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty (eds Flato G, Fuglestvedt J, Mrabet R, Schaeffer R), pp. 93-174. Geneva, Switzerland: IPCC/WMO. [Google Scholar]
  • 39.Tavoni M, Socolow R. 2013. Modeling meets science and technology: an introduction to a special issue on negative emissions. Clim. Change 118, 1-14. ( 10.1007/s10584-013-0757-9) [DOI] [Google Scholar]
  • 40.Jackson RB, Canadell JG, Fuss S, Milne J, Nakicenovic N, Tavoni M. 2017. Focus on negative emissions. Environ. Res. Lett. 12, e110201. ( 10.1088/1748-9326/aa94ff) [DOI] [Google Scholar]
  • 41.Fuss S, et al. 2018. Negative emissions—Part 2: Costs, potentials and side effects. Environ. Res. Lett. 13, 063002. [Google Scholar]
  • 42.Boucher O, Folberth G. 2010. New directions: atmospheric methane removal as a way to mitigate climate change? Atmos. Environ. 27, 3343-3345. ( 10.1016/j.atmosenv.2010.04.032) [DOI] [Google Scholar]
  • 43.de Richter R, Tingzhen M, Davies P, Wei L, Caillol S. 2017. Removal of non-CO2 greenhouse gases by large-scale atmospheric solar photocatalysis. Prog. Energy Combust. Sci. 60, 68-96. ( 10.1016/j.pecs.2017.01.001) [DOI] [Google Scholar]
  • 44.Smith P, Goulding KW, Smith KA, Powlson DS, Smith JU, Falloon P, Coleman K. 2001. Enhancing the carbon sink in European agricultural soils: including trace gas fluxes in estimates of carbon mitigation potential. Nutr. Cycling Agroecosyst. 60, 237-252. ( 10.1023/A:1012617517839) [DOI] [Google Scholar]
  • 45.Price SJ, Sherlock RR, Kelliher FM, McSeveny EM, Tate KR, Condron LM. 2004. Pristine New Zealand forest soil is a strong methane sink. Global Change Biol. 10, 16-26. ( 10.1046/j.1529-8817.2003.00710x) [DOI] [Google Scholar]
  • 46.Chen X, Li Y, Pan X, Cortie D, Huang X, Yi Z. 2016. Photocatalytic oxidation of methane over silver decorated zinc oxide nanocatalysts. Nat. Commun. 7, 12273. ( 10.1038/ncomms12273) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Oeste FD, de Richter R, Ming T, Caillol S. 2017. Climate engineering by mimicking natural dust climate control: the iron salt aerosol method. Earth Syst. Dyn. 8, 1-54. ( 10.5194/esd-8-1-2017) [DOI] [Google Scholar]
  • 48.Majdinasab A, Yuan Q. 2017. Performance of the biotic systems for reducing methane emissions from landfill sites: a review. Ecol. Eng. 104, 116-130. ( 10.1016/j.ecoleng.2017.04.015) [DOI] [Google Scholar]
  • 49.Fujishima A, Honda K. 1967. TiO2 photoelectrochemistry and photocatalysis. Nature 238, 37-38. [Google Scholar]
  • 50.Thampi KR, Kiwi J, Grätzel M. 1988. Room temperature photo-activation of methane on TiO2 supported molybdena. Catal. Lett. 1, 109-116. ( 10.1007/BF00765891) [DOI] [Google Scholar]
  • 51.Grajciar L, Čejka J, Zukal A, Otero Areán C, Turnes Palomino G, Nachtigall P. 2012. Controlling the adsorption enthalpy of CO2 in zeolites by framework topology and composition. Chem. Sus. Chem. 5, 2011-2022. ( 10.1002/cssc.201200270) [DOI] [PubMed] [Google Scholar]
  • 52.Kim J, Maiti A, Lin L-C, Stolaroff JK, Smit B. 2013. Aines RD new materials for methane capture from dilute and medium-concentration sources. Nat. Commun. 4, 1694. ( 10.1038/ncomms2697) [DOI] [PubMed] [Google Scholar]
  • 53.Snyder BER, Vanelderen P, Schoonheydt RA, Sels BF, Solomon EI. 2018. Second-sphere effects on methane hydroxylation in Cu-Zeolites. J. Am. Chem. Soc. 140, 9236-9243. ( 10.1021/jacs.8b05320) [DOI] [PubMed] [Google Scholar]
  • 54.Snyder BER, et al. 2016. The active site of low-temperature methane hydroxylation in iron-containing zeolites. Nature 536, 317-321. ( 10.1038/nature19059) [DOI] [PubMed] [Google Scholar]
  • 55.Bracco S, Piga D, Bassanetti I, Perego J, Comotti A, Sozzani P. 2017. Porous 3D polymers for high pressure methane storage and carbon dioxide capture. J. Mater. Chem. A 5, 10 328-10 337. ( 10.1039/C7TA00934H) [DOI] [Google Scholar]
  • 56.Lawton TJ, Rosenzweig AC. 2016. Methane-oxidizing enzymes: an upstream problem in biological gas-to-liquids conversion. J. Am. Chem. Soc. 138, 9327-9340. ( 10.1021/jacs.6b04568) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Snyder BER, Bols ML, Schoonheydt RA, Sels BF, Solomon EI. 2018. Iron and copper active sites in zeolites and their correlation to metalloenzymes. Chem. Rev. 118, 2718. ( 10.1021/acs.chemrev.7b00344) [DOI] [PubMed] [Google Scholar]
  • 58.Blanchette CD, et al. 2016. Printable enzyme-embedded materials for methane to methanol conversion. Nat. Commun. 7, 11900. ( 10.1038/ncomms11900) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Raghoebarsing AA, et al. 2006. A microbial consortium couples anaerobic methane oxidation to denitrification. Nature 440, 918-921. ( 10.1038/nature04617) [DOI] [PubMed] [Google Scholar]
  • 60.Su Y-C, Sathyamoorthy D, Chandran K. 2019. Bioaugmented methanol production using ammonia oxidizing bacteria in a continuous flow process. Bioresour. Technol. 279, 101-107. ( 10.1016/j.biortech.2019.01.092) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Han X, Sun H, Wang C, Wu M, Dong D, Zhong T, Thies JE, Wu W. 2016. Mitigating methane emission from paddy soil with rice-straw biochar amendment under projected climate change. Sci. Rep. 6, 24731. ( 10.1038/srep24731) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Gauci V, Dise NB, Howell G, Jenkins ME. 2008. Suppression of rice methane emission by sulfate deposition in simulated acid rain. J. Geophys. Res. Biogeosci. 13, 1-6. ( 10.1029/2007jg000501) [DOI] [Google Scholar]
  • 63.Miller KE, Lai C-T, Friedman ES, Angenent LT, Lipson DA. 2015. Methane suppression by iron and humic acids in soils of the Arctic Coastal Plain. Soil Biol. Biochem. 83, 176-183. ( 10.1016/j.soilbio.2015.01.022) [DOI] [Google Scholar]
  • 64.Yoon S, Carey JN, Semrau JD. 2009. Feasibility of atmospheric methane removal using methanotrophic biotrickling filters. Appl. Microbiol. Biotechnol. 83, 949-956. ( 10.1007/s00253-009-1977-9) [DOI] [PubMed] [Google Scholar]
  • 65.Nikiema J, Brzezinski R, Heitz M. 2007. Elimination of methane generated from landfills by biofiltration: a review. Rev. Environ. Sci. Bio/Technol. 6, 261-284. ( 10.1007/s11157-006-9114-z) [DOI] [Google Scholar]
  • 66.Ming T, de Richter R, Oeste FD, Tulip R, Caillol S. 2021. A nature-based negative emissions technology able to remove atmospheric methane and other greenhouse gases. Atmos. Pollut. Res. 12, 101035. ( 10.1016/j.apr.2021.02.017) [DOI] [Google Scholar]
  • 67.Pollard RT, et al. 2009. Southern Ocean deep-water carbon export enhanced by natural iron fertilization. Nature 457, 577-580. ( 10.1038/nature07716) [DOI] [PubMed] [Google Scholar]
  • 68.Smetacek V, Klaas C, Wolf-Gladrow D. 2012. Deep carbon export from a Southern Ocean iron-fertilized diatom bloom. Nature 487, 313-319. ( 10.1038/nature11229) [DOI] [PubMed] [Google Scholar]
  • 69.Deguillaume L, Leriche M, Chaumerliac N. 2005. Impact of radical versus non-radical pathway in the Fenton chemistry on the iron redox cycle in clouds. Chemosphere 60, 718-724. ( 10.1016/j.chemosphere.2005.03.052) [DOI] [PubMed] [Google Scholar]
  • 70.Nakatani N, Ueda M, Shindo H, Takeda K, Sakugawa H. 2007. Contribution of the photo-Fenton reaction to hydroxyl radical formation rates in river and rain water samples. Anal. Sci. 23, 1137-1142. ( 10.2116/analsci.23.1137) [DOI] [PubMed] [Google Scholar]
  • 71.Wittmer J, Bleicher S, Oner J, Zetzsch C. 2015. Iron (III)-induced activation of chloride from artificial sea-salt aerosol. Environ. Chem. 12, 461-475. ( 10.1071/EN14279) [DOI] [Google Scholar]
  • 72.Wittmer J, Zetzsch C. 2017. Photochemical activation of chlorine by iron-oxide aerosol. J. Atmos. Chem. 74, 187-204. ( 10.1007/s10874-016-9336-6) [DOI] [Google Scholar]
  • 73.Fischer H, Siggaard-Andersen M-L, Ruth U, Röthlisberger R, Wolff E. 2007. Glacial/interglacial changes in mineral dust and sea-salt records in polar ice cores: sources, transport, and deposition. Rev. Geophys. 45, RG1002. ( 10.1029/2005RG000192) [DOI] [Google Scholar]
  • 74.Keith DW, Holmes G, St. Angelo D, Heidel K. 2018. A process for capturing CO2 from the atmosphere. Joule 2, 1573-1594. ( 10.1016/j.joule.2018.05.006) [DOI] [Google Scholar]
  • 75.Lackner KS. 2020. Practical constraints on atmospheric methane removal. Nat. Sustain. 3, 357. ( 10.1038/s41893-020-0496-7) [DOI] [Google Scholar]
  • 76.Shi X, Li Q, Wang T, Lakner KS. 2017. Kinetic analysis of an anion exchange absorbent for CO2 capture from ambient air. PLoS ONE 12, e0179828. ( 10.1371/journal.pone.0179828) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Gan G. 1998. A parametric study of Trombe walls for passive cooling of buildings. Energy Buildings 27, 37-44. ( 10.1016/S0378-7788(97)00024-8) [DOI] [Google Scholar]
  • 78.Schlaich J. 1995. The solar chimney: electricity from the sun. Germany: Edition Axel Menges. [Google Scholar]
  • 79.Ming T, de Richter R, Shen S, Caillol S. 2016. Fighting global warming by greenhouse gas removal: destroying atmospheric nitrous oxide thanks to synergies between two breakthrough technologies. Environ. Sci. Pollut. Res. 23, 6119-6138. ( 10.1007/s11356-016-6103-9) [DOI] [PubMed] [Google Scholar]
  • 80.de Richter R, et al. 2016. Fighting global warming by GHG removal: destroying CFCs and HCFCs in solar-wind power plant hybrids producing renewable energy with no-intermittency. Int. J. Greenhouse Gas Control 49, 449-472. ( 10.1016/j.ijggc.2016.02.027) [DOI] [Google Scholar]
  • 81.Lackner KS. 2020. Practical constraints on atmospheric methane removal. Nature Sustainability 3, 357-357. [Google Scholar]
  • 82.Prather MJ. 1996. Time scales in atmospheric chemistry: theory, GWPs for CH4 and CO, and runaway growth. Geophys. Res. Lett. 23, 2597-2600. ( 10.1029/96GL02371) [DOI] [Google Scholar]
  • 83.Stevenson DS, et al. 2020. Trends in global tropospheric hydroxyl radical and methane lifetime since 1850from AerChemMIP. Atmos. Chem. Phys. 20, 12 905-12 920. ( 10.5194/acp-20-12905-2020) [DOI] [Google Scholar]
  • 84.Turnock ST, Wild O, Sellar A, O'Connor FM. 2019. 300 years of tropospheric ozone changes using CMIP6 scenarios with a parameterised approach. Atmos. Environ. 213, 686-698. ( 10.1016/j.atmosenv.2019.07.001) [DOI] [Google Scholar]
  • 85.Abernethy S, O'Connor FM, Jones CD, Jackson RB. 2021. Methane removal and the proportional reductions in surface temperature and ozone. Phil. Trans. R. Soc A 379, 20210104. ( 10.1098/rsta.2021.0104) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Thornhill GD, et al. 2021. Effective radiative forcing from emissions of reactive gases and aerosols – a multi-model comparison. Atmos. Chem. Phys. 21, 853-874. ( 10.5194/acp-21-853-2021) [DOI] [Google Scholar]
  • 87.Folberth GA, Jones CD, O'Connor FM, Gedney N, Sellar AA, Wiltshire A. 2021. Irreversible perturbations to the global methane cycle even under strong mitigation action, Nat. Geosci. (Submitted). [Google Scholar]
  • 88.Ciais P, et al. 2013. Carbon and Other Biogeochemical Cycles. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Stocker TF, et al.). Cambridge, UK and New York, NY: Cambridge University Press. [Google Scholar]
  • 89.Gedney N, Huntingford C, Comyn-Platt E, Wiltshire A. 2019. Significant feedbacks of wetland methane release on climate change and the causes of their uncertainty. Environ. Res. Lett. 14, 084027. ( 10.1088/1748-9326/ab2726) [DOI] [Google Scholar]
  • 90.Gasser T, Peters GP, Fuglestved JS, Collins WJ, Shindell DT, Ciais P. 2017. Accounting for the climate–carbon feedback in emission metrics. Earth Syst. Dynam. 8, 235-253. ( 10.5194/esd-8-235-2017) [DOI] [Google Scholar]
  • 91.Lowe JA, Bernie D. 2018. The impact of Earth system feedbacks on carbon budgets and climate response. Phil. Trans. R. Soc. A 376, 20170263. ( 10.1098/rsta.2017.0263) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Burke EJ, Hartley IP, Jones CD. 2012. Uncertainties in the global temperature change caused by carbon release from permafrost thawing. Cryosphere 6, 1063-1076. ( 10.5194/tc-6-1063-2012) [DOI] [Google Scholar]
  • 93.Collins WJ, et al. 2018. Increased importance of methane reduction for a 1.5 degree target. Env. Res. Lett. 13, 054003. [Google Scholar]
  • 94.Comyn-Platt E, et al. 2018. Carbon budgets for 1.5 and 2°C targets lowered by natural wetland and permafrost feedbacks. Nat. Geosci. 11, 568-573. ( 10.1038/s41561-018-0174-9) [DOI] [Google Scholar]
  • 95.Shindell D, et al. 2012. Simultaneously mitigating near-term climate change and Improving human health and food security. Science 335, 183-189. ( 10.1126/science.1210026) [DOI] [PubMed] [Google Scholar]
  • 96.Jones A, Haywood JM, Jones CD. 2018. Can reducing black carbon and methane below RCP2.6 levels keep global warming below 1.5°C? Atmos. Sci. Lett. 19, e821. ( 10.1002/asl.821) [DOI] [Google Scholar]
  • 97.Allen RJ, et al. 2021. Significant climate benefits from near-term climate forcer mitigation in spite of aerosol reductions. Environ. Res. Lett. 16, 034010. ( 10.1088/1748-9326/abe06b) [DOI] [Google Scholar]
  • 98.Zickfeld K, Azevedo D, Mathesius S, Matthews HD. 2021. Asymmetry in the climate-carbon cycle response to positive and negative CO2 emissions. Nat. Clim. Change 11, 613-617. [Google Scholar]
  • 99.Anenberg SC, et al. 2012. Global air quality and health co-benefits of mitigating near-term climate change through methane and black carbon emission controls. Environ. Health Perspect. 120, 831-839. ( 10.1289/ehp.1104301) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Fang Y, Naik V, Horowitz LW, Mauzerall DL. 2013. Air pollution and associated human mortality: the role of air pollutant emissions, climate change and methane concentration increases from the preindustrial period to present. Atmos. Chem. Phys. 13, 1377-1394. ( 10.5194/acp-13-1377-2013) [DOI] [Google Scholar]
  • 101.West JJ, Fiore AM, Horowitz LW, Mauzerall DL. 2006. Global health benefits of mitigating ozone pollution with methane emission controls. Proc. Natl Acad. Sci. USA 103, 3988-3993. ( 10.1073/pnas.0600201103) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Feng Z, Kobayashi K. 2009. Assessing the impacts of current and future concentrations of surface ozone on crop yield with meta-analysis. Atmos. Environ. 43, 1510-1519. ( 10.1016/j.atmosenv.2008.11.033) [DOI] [Google Scholar]
  • 103.Jones CD, et al. 2016. Simulating the Earth system response to negative emissions. Environ. Res. Lett. 11, 095012. ( 10.1088/1748-9326/11/9/095012) [DOI] [Google Scholar]
  • 104.Krekel D, Samsun RC, Peters R, Stolten D. 2018. The separation of CO2 from ambient air - a techno-economic assessment. Appl. Energy 218, 361-381. ( 10.1016/j.apenergy.2018.02.144) [DOI] [Google Scholar]
  • 105.Allen MR, Shine KP, Fuglestvedt JS, Milllar RJ, Cain M, Frame DJ, Macey AH. 2018. A solution to the misrepresentations of CO2-equivalent emissions of short-lived climate pollutants under ambitious mitigation. npj Clim. Atmos. Sci. 1, 16. ( 10.1038/s41612-018-0026-8) [DOI] [Google Scholar]
  • 106.Bui M, et al. 2018. Carbon capture and storage (CCS): the way forward. Energy Environ. Sci. 11, 1062-1176. ( 10.1039/C7EE02342A) [DOI] [Google Scholar]
  • 107.Townsend A, Havercroft I. 2019. The LCFS and CCS Protocol: an Overview for Policymakers and Project Developers. Global CCS Institute. See https://www.globalccsinstitute.com/wp-content/uploads/2019/05/LCFS-and-CCS-Protocol_digital_version.pdf.
  • 108.Durmaz T. 2018. The economics of CCS: why have CCS technologies not had an international breakthrough? Renew. Sustain. Energy Rev. 95, 328-340. ( 10.1016/j.rser.2018.07.007) [DOI] [Google Scholar]
  • 109.Shindell DT, Fuglestvedt JS, Collins WJ. 2017. The social cost of methane: theory and applications. Faraday Discuss. 200, 429-451. ( 10.1039/C7FD00009J) [DOI] [PubMed] [Google Scholar]
  • 110.Waller L, Rayner T, Chilvers J, Gough CA, Lorenzoni I, Jordan A, Vaughan N. 2020. Contested framings of greenhouse gas removal and its feasibility: social and political dimensions. Wiley Interdiscip. Rev. Clim. Change 11, e649. ( 10.1002/wcc.649) [DOI] [Google Scholar]
  • 111.Campbell-Arvai V, Hart PS, Raimi KT, Wolske KS. 2017. The influence of learning about carbon dioxide removal (CDR) on support for mitigation policies. Clim. Change 143, 321-336. ( 10.1007/s10584-017-2005-1) [DOI] [Google Scholar]
  • 112.Riahi K, et al. 2015. Locked into Copenhagen pledges—implications of short-term emission targets for the cost and feasibility of long-term climate goals. Technol. Forecast. Social Change 90, 8-23. ( 10.1016/j.techfore.2013.09.016) [DOI] [Google Scholar]
  • 113.Tong D, Zhang Q, Zheng Y, Caldeira K, Shearer C, Hong C, Qin Y. 2019. Davis SJ Committed emissions from existing energy infrastructure jeopardize 1.5°C climate target. Nature 572, 373-377. ( 10.1038/s41586-019-1364-3) [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Nemet GF, et al. 2018. Negative emissions—Part 3: Innovation and upscaling. Env. Res. Lett. 13, 063003. [Google Scholar]
  • 115.Daggash HA, Mac Dowell N. 2019. Higher carbon prices on emissions alone will not deliver the Paris Agreement. Joule 3, 2120-2133. ( 10.1016/j.joule.2019.08.008) [DOI] [Google Scholar]
  • 116.Jackson RB, Canadell JG, Le Quéré C, Andrew RM, Korsbakken JI, Peters GP, Nakicenovic N. 2016. Reaching peak emissions. Nat. Clim. Change 6, 7-10. ( 10.1038/nclimate2892) [DOI] [Google Scholar]
  • 117.Ganesan AL, et al. 2019. Advancing scientific understanding of the global methane budget in support of the Paris Agreement. Global Biogeochem. Cycles 33, 1475-1512. ( 10.1029/2018GB006065) [DOI] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

This article has no additional data.


Articles from Philosophical transactions. Series A, Mathematical, physical, and engineering sciences are provided here courtesy of The Royal Society

RESOURCES