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=== 5.6.2 Biogeochemical Responses to Carbon Dioxide Removal (CDR) === <div id="h2-37-siblings" class="h2-siblings"></div> The scope of this section is to assess the general and methods-specific effects of CDR on the global carbon cycle and other biogeochemical cycles. The focus is on Earth system feedbacks that either amplify or reduce carbon sequestration potentials of specific CDR methods, and determine their effectiveness in reducing atmospheric CO <sub>2</sub> and mitigating climate change. Technical carbon sequestration potentials of CDR methods are assessed on a qualitative scale; a comprehensive quantitative assessment is left to the AR6 Working Group III Report (Chapters 7 and 12). Biogeochemical and biophysical side effects of CDR methods are assessed here, while the co-benefits and trade-offs for biodiversity, water and food production are briefly discussed for completeness, but a comprehensive assessment is left to WGII (Chapters 2 and 5) and WGIII (Chapters 7 and 12). The assessment in this chapter emphasizes literature published since the AR5 WGI report (Chapter 6) for the assessment of the global carbon cycle response to CDR, and literature published since SR1.5 (Chapter 4; [[#IPCC--2018|IPCC, 2018]]), SRCCL (Chapter 6, [[#IPCC--2019a|IPCC, 2019a]]) and SROCC ([[#Bindoff--2019|Bindoff et al., 2019]]) for the assessment of potentials and side effects of specific CDR methods. Emerging literature on deliberate methane removal is also briefly discussed. In this chapter, CDR methods are categorised by the carbon cycle processes that result in CO <sub>2</sub> removal: (i) enhanced net biological production and storage by land ecosystems; (ii) enhanced net biological production and storage in the open and coastal ocean; (iii) enhanced geochemical processes on land and in the ocean; and (iv) direct air capture and storage by chemical processes. A subset of CDR methods that restore or sustainably manage natural or modified ecosystems while providing human well-being and biodiversity benefits are also referred to as natural or nature-based solutions (Glossary; [[#Griscom--2017|Griscom et al., 2017]] , 2020; [[#Fargione--2018|Fargione et al., 2018]]). CDR methods commonly discussed in the literature are summarized in Table 5.9. Other CDR options have been suggested, but there is insufficient literature for an assessment. These include ocean biomass burial, ocean downwelling, removal of CO <sub>2</sub> from seawater with storage, and cloud alkalinization ([[#Keller--2018a|Keller et al., 2018a]] ; [[#GESAMP--2019|GESAMP, 2019]]). <div id="_idContainer095" class="mt-3"></div> '''Table 5.9 |''' '''Characteristics of carbon dioxide removal (CDR) methods''' . Termination effects refer to the possible effects of a hypothetical, sudden and sustained termination of the CDR method. {| class="wikitable" |- ! '''Category''' ! '''Methods''' '''(Section Where the Method is Assessed)''' ! '''Nature of CO''' <sub>2</sub> '''Removal Process/Storage Form''' ! '''Description''' ! '''Time Scale of Carbon Storage''' ! '''Factors that Affect Carbon Storage Time Scale''' ! '''Termination Effects''' |- | rowspan="5"| Enhanced biological production and storage on land (in vegetation, soils or geologic formations) | Afforestation, reforestation and forest management (5.6.2.2.1) | Biological/organic | Store carbon in trees and soils by planting, restoring or managing forests | Decades to centuries ([[#Cooper--1983|Cooper, 1983]]) | Disturbances (e.g., fires, pests), extreme weather | None |- | Soil carbon sequestration (5.6.2.2.1) | Biological/organic | Use agricultural management practices to improve soil carbon storage | Decades to centuries ([[#Dignac--2017|Dignac et al., 2017]]) | Soil and crop management | None |- | Biochar (5.6.2.2.1) | Biological/organic | Burn biomass at high temperature under anoxic conditions to form biochar and add to soils | Decades to centuries ([[#Campbell--2018|Campbell et al., 2018]]) | Fire | None |- | Peatland restoration (5.6.2.2.1) | Biological/organic | Store carbon in soil by creating or restoring peatlands | Decades to centuries ([[#Harenda--2018|Harenda et al., 2018]]) | Peatland drainage, fire, drought, land-use change | None |- | Bioenergy with carbon capture and storage (BECCS) (5.6.2.2.1) | Biological/inorganic | Production of energy from plant biomass combined with carbon capture and storage | Potentially permanent – analogous to direct air carbon capture with carbon storage (DACCS) ([[#Szulczewski--2012|Szulczewski et al., 2012]]) | Leakage | None |- | rowspan="3"| Enhanced biological production and storage in coastal and open ocean | Ocean fertilization (5.6.2.2.2) | Biological/organic | Fertilize upper ocean with micro (Fe) and macronutrients (N, P) to increase phytoplankton photosynthesis and biomass and deep ocean carbon storage through the biological pump | Decades to millennia ([[#Oschlies--2010a|Oschlies et al., 2010a]] ; [[#Robinson--2014|Robinson et al., 2014]]) | Ocean stratification and circulation ([[#Robinson--2014|Robinson et al., 2014]]); efficiency of carbon sequestration in deep ocean ([[#Yoon--2018|Yoon et al., 2018]]) | Uncertain ([[#Keller--2014|Keller et al., 2014]]) |- | Artificial ocean upwelling (5.6.2.2.2) | Biological/organic | Pump nutrient-rich deep ocean water to the surface to increase carbon uptake and storage through the biological pump. | Centuries to millennia ([[#Oschlies--2010b|Oschlies et al., 2010b]]) | Ocean circulation; dissolved inorganic carbon content of upwelled waters ([[#Oschlies--2010b|Oschlies et al., 2010b]]) | Warming beyond temperatures experienced if artificial ocean upwelling had not been deployed ([[#Keller--2014|Keller et al., 2014]]) |- | Restoration of vegetated coastal ecosystems (“blue carbon”) (5.6.2.2.2) | Biological/organic | Manage coastal ecosystems to increase net primary production and store carbon in sediments | Decades to centuries if functional integrity of ecosystem maintained ([[#Mcleod--2011|Mcleod et al., 2011]]) | Land-use change of coastal ecosystems; extreme weather (e.g., heatwaves); sea level change ([[#NASEM--2019|NASEM, 2019]]) | None |- | rowspan="2"| Enhanced geochemical processes on land and in ocean | Enhanced weathering (5.6.2.2.3) | Geochemical/inorganic | Spread alkaline minerals on land to chemically remove atmospheric CO <sub>2</sub> in reactions that form solid minerals (carbonates and silicates) that are stored in soils or in the ocean | 10,000 to 10 <sup>6</sup> years ([[#Fuss--2018|Fuss et al., 2018]]) | Storage in soils or ocean ([[#Fuss--2018|Fuss et al., 2018]]) | None |- | Ocean alkalinization (5.6.2.2.3) | Geochemical/inorganic | Increased CO <sub>2</sub> uptake via increased alkalinity by deposition of alkaline minerals (e.g., olivine). | 10,000 to 100,000 years ([[#Keller--2019|Keller, 2019]]) | Carbonate chemistry; ocean stratification and circulation ([[#Keller--2019|Keller, 2019]]) | Higher rates of warming and acidification than if alkalinization had not begun (under a high emissions scenario) ([[#González--2018|González et al., 2018]]) |- | Chemical | Direct air carbon capture with storage (DACCS) (5.6.2.2.4) | Chemical/inorganic | Direct removal of CO <sub>2</sub> from air through chemical adsorption, absorption or mineralization, and storage underground, in deep ocean or in long-lasting usable materials | Potentially permanent | Leakage | None |} <div id="5.6.2.1" class="h3-container"></div> <span id="global-carbon-cycle-responses-to-cdr"></span> ==== 5.6.2.1 Global Carbon Cycle Responses to CDR ==== <div id="h3-48-siblings" class="h3-siblings"></div> This subsection assesses evidence about the response of the global carbon cycle to CDR from idealized model simulations which assume that CO <sub>2</sub> is removed from the atmosphere directly and stored permanently in the geologic reservoir, which is analogous to direct air carbon capture with carbon storage (DACCS) (Table 5.9). The carbon cycle response to specific land and ocean-based CDR methods is assessed in [[#5.6.2.2.2|Section 5.6.2.2.2]] . At the time of AR5 there were very few studies about the global carbon cycle response to CDR. Based on these studies and general understanding of the carbon cycle, AR5 WGI [[IPCC:Wg1:Chapter:Chapter-6|Chapter 6]] assessed that it is ''virtually certain'' that deliberate removal of CO <sub>2</sub> from the atmosphere will be partially offset by outgassing of CO <sub>2</sub> from the ocean and land carbon sinks. ''Low confidence'' was placed on any quantification of effects. Since AR5 WGI Chapter 6, several studies have investigated the carbon cycle response to CDR in idealized ‘pulse’ removal simulations, whereby a specified amount of CO <sub>2</sub> is removed instantly from the atmosphere, and scenario simulations with CO <sub>2</sub> emissions and removals following a plausible trajectory. In addition, a dedicated carbon dioxide removal model intercomparison project was initiated (CDRMIP; [[#Keller--2018b|Keller et al., 2018b]]) which includes a range of CDR experiments from idealized simulations to simulations of deployment of specific CDR methods (afforestation and ocean alkalinization). This subsection assesses three aspects of the climate–carbon cycle response to CDR: the time-dependent behaviour of CO <sub>2</sub> fluxes in scenarios with CDR, the effectiveness of CDR in drawing down atmospheric CO <sub>2</sub> and cooling global mean temperature, and the symmetry of the climate–carbon cycle response to positive and negative CO <sub>2</sub> emissions. <div id="5.6.2.1.1" class="h4-container"></div> <span id="carbon-cycle-response-to-instantaneous-cdr"></span> ===== 5.6.2.1.1 Carbon cycle response to instantaneous CDR ===== <div id="h4-16-siblings" class="h4-siblings"></div> Idealized ‘pulse’ removal Earth system model simulations are useful for understanding the carbon cycle response to CDR. Figure 5.32 illustrates the response of atmospheric CO <sub>2</sub> , land and ocean carbon sinks to an instantaneous CO <sub>2</sub> removal applied from a pre-industrial equilibrium state. Following CO <sub>2</sub> removal from the atmosphere, the atmospheric CO <sub>2</sub> concentration declines rapidly at first and then rebounds (Figure 5.32a). This rebound is due to CO <sub>2</sub> release by the terrestrial biosphere and the ocean in response to declining atmospheric CO <sub>2</sub> levels (Figure 5.32b,c; M. [[#Collins--2013|]] [[#Collins--2013|Collins et al., 2013]]). For the model simulations shown in Figure 5.32, 23 ± 6% (mean ± 1 standard deviation) of the 100 PgC removed remains out of the atmosphere 80–100 years after the instantaneous removal. The remainder is offset by CO <sub>2</sub> outgassing from the land (49 ± 12%) and ocean (29 ± 7%). While the direction of the CO <sub>2</sub> flux is robust across models, the relative contribution of the outgassing from land and ocean reservoirs to the atmospheric CO <sub>2</sub> rebound after removal varies. These results corroborate the ''high confidence'' placed by AR5 WGI (Chapter 6) on the partial compensation of CO <sub>2</sub> removal from the atmosphere by CO <sub>2</sub> outgassing from the land and ocean. Due to disagreement between models, the magnitude of this outgassing and the relative contribution of land and ocean fluxes remains ''low confidence'' . <div id="_idContainer099" class="_idGenObjectStyleOverride-1"></div> [[File:f3780888188c488285b91664a404d52e IPCC_AR6_WGI_Figure_5_32.png]] '''Figure 5.32 |''' '''Carbon cycle response to instantaneous carbon dioxide (CO''' <sub>2</sub> ''') removal from''' '''the atmosphere.''' '''(a)''' Atmospheric CO <sub>2</sub> concentration; '''(b)''' change in land carbon reservoir; '''(c)''' change in ocean carbon reservoir. Results are shown for simulations with seven CMIP6 Earth system models and the University of Victoria Earth System Climate Model (UVic ESCM) of intermediate complexity forced with 100 PgC instantaneously removed from the atmosphere. The ‘pulse’ removal is applied from a model state in equilibrium with a pre-industrial atmospheric CO <sub>2</sub> concentration (CDRMIP experiment CDR-pi-pulse; [[#Keller--2018b|Keller et al., 2018b]]). Changes in land and ocean carbon reservoirs are calculated relative to a pre-industrial control simulation. Data for the UVic ESCM is from [[#Zickfeld--2021|Zickfeld et al. (2021)]] . Further details on data sources and processing are available in the chapter data table (Table 5.SM.6). <div id="5.6.2.1.2" class="h4-container"></div> <span id="carbon-cycle-response-over-time-in-scenarios-with-cdr"></span> ===== 5.6.2.1.2 Carbon cycle response over time in scenarios with CDR ===== <div id="h4-17-siblings" class="h4-siblings"></div> Since AR5 WGI (Chapter 6), studies with ESMs have explored the land and ocean carbon sink response to scenarios with CO <sub>2</sub> emissions gradually declining during the 21st century. As CDR and other mitigation activities are ramped up, CO <sub>2</sub> emissions in these scenarios reach net zero and, as removals exceed emissions, become net negative. Studies exploring the carbon sink response to such scenarios (e.g., RCP2.6, SSP1-2.6) show that, when net CO <sub>2</sub> emissions are positive but start to decline, uptake of CO <sub>2</sub> by the land and ocean begins to weaken (compare land and ocean CO <sub>2</sub> fluxes in panels a and b of Figure 5.33; [[#Tokarska--2015|Tokarska and Zickfeld, 2015]] ; [[#Jones--2016b|Jones et al., 2016b]]). During the first decades after CO <sub>2</sub> emissions become net negative, both the ocean and land carbon sinks continue to take up CO <sub>2</sub> , albeit at a lower rate. For the land carbon sink, the sink-to-source transition occurs decades to a century after CO <sub>2</sub> emissions become net negative (Figure 5.33c). The ocean remains a sink of CO <sub>2</sub> for centuries after emissions become net negative (Figure 5.33c–e; [[#5.4.9|Section 5.4.9]] ; Figure 5.30). Whether the transition to source occurs at all, the timing of the transition and the magnitude of the CO <sub>2</sub> source are determined by the magnitude of the removal and the rate and amount of net CO <sub>2</sub> emissions prior to emissions becoming net negative (''medium confidence'') ([[#Tokarska--2015|Tokarska and Zickfeld, 2015]] ; [[#Jones--2016b|Jones et al., 2016b]]). For scenarios with large amounts of CO <sub>2</sub> removal, such as SSP5-3.4-overshoot, the land source is larger than for SSP1-2.6 and the ocean also turns into a source ([[#5.4.10|Section 5.4.10]] , Figure 5.30). While the qualitative response to scenarios with net-negative emissions is largely robust across models, the timing of the sink-to-source transition and the magnitude of the CO <sub>2</sub> source vary between models, particularly for the land sink. Due to ''low agreement'' between models, there is ''low confidence'' in the timing of the sink-to-source transition and the magnitude of the CO <sub>2</sub> source in scenarios with net-negative CO <sub>2</sub> emissions. <div id="_idContainer101" class="_idGenObjectStyleOverride-1"></div> [[File:cc8957d18d88db9d40ad241c093f7844 IPCC_AR6_WGI_Figure_5_33.png]] '''Figure 5.33 |''' '''Carbon sink response in a scenario with net carbon dioxide (CO''' <sub>2</sub> ''') removal from the atmosphere.''' Shown are CO <sub>2</sub> flux components from concentration-driven Earth system model (ESM) simulations during different emissions stages of SSP1-2.6 and its long-term extension: '''(a)''' Large net positive CO <sub>2</sub> emissions; '''(b)''' small net positive CO <sub>2</sub> emissions; '''(c)''' , '''(d)''' net negative CO <sub>2</sub> emissions; '''(e)''' net zero CO <sub>2</sub> emissions. Positive flux components act to raise the atmospheric CO <sub>2</sub> concentration, whereas negative components act to lower the CO <sub>2</sub> concentration. Net CO <sub>2</sub> emissions, land and ocean CO <sub>2</sub> fluxes represent the multi-model mean and standard deviation (error bar) of four ESMs (CanESM5, UKESM1, CESM2-WACCM, IPSL-CM6a-LR) and one Earth system model of intermediate complexity (UVic ESCM; [[#Mengis--2020|Mengis et al., 2020]]). Net CO <sub>2</sub> emissions are calculated from concentration-driven ESM simulations as the residual from the rate of increase in atmospheric CO <sub>2</sub> and land and ocean CO <sub>2</sub> fluxes. Fluxes are accumulated over each 50-year period and converted to concentration units (ppm). Further details on data sources and processing are available in the chapter data table (Table 5.SM.6). <div id="5.6.2.1.3" class="h4-container"></div> <span id="removal-effectiveness-of-cdr"></span> ===== 5.6.2.1.3 Removal effectiveness of CDR ===== <div id="h4-18-siblings" class="h4-siblings"></div> It is well understood that land and ocean carbon fluxes are sensitive to the level of atmospheric CO <sub>2</sub> and climate change and differ under varied future scenarios ([[#5.4|Section 5.4]]). It is therefore important to establish to what extent the removal effectiveness of CDR – here defined as the fraction of total CO <sub>2</sub> removed that remains out of the atmosphere – is dependent on the scenario in which CDR is applied. Different metrics have been proposed to quantify the removal effectiveness of CDR ([[#Tokarska--2015|Tokarska and Zickfeld, 2015]] ; [[#Jones--2016b|Jones et al., 2016b]] ; [[#Zickfeld--2016|Zickfeld et al., 2016]]). One is the airborne fraction (AF) of cumulative CO <sub>2</sub> emissions, defined in the same way as for positive emissions (i.e., as the fraction of total CO <sub>2</sub> emissions remaining in the atmosphere), with its use extended to periods of declining and net negative CO <sub>2</sub> emissions. This metric, however, has not proven to be useful to quantify the removal effectiveness of CDR in simulations where CDR is applied from a trajectory of increasing atmospheric CO <sub>2</sub> concentration. This is because it measures the carbon cycle response to CDR as well as to the prior atmospheric CO <sub>2</sub> trajectory ([[#Tokarska--2015|Tokarska and Zickfeld, 2015]] ; [[#Jones--2016b|Jones et al., 2016b]]). A more useful metric is the perturbation airborne fraction (PAF; [[#Jones--2016b|Jones et al., 2016b]]), which measures the AF of the perturbation (in this case the CO <sub>2</sub> removal) relative to a reference scenario ([[#Tokarska--2015|Tokarska and Zickfeld, 2015]] ; [[#Jones--2016b|Jones et al., 2016b]]). The advantage of this metric is that it isolates the response to a CO <sub>2</sub> removal from the response to atmospheric CO <sub>2</sub> prior to when the removal is applied. A disadvantage is that the PAF cannot be calculated from a single model simulation, but instead requires a reference simulation to evaluate the effect of the CO <sub>2</sub> removal. When CDR is applied from an equilibrium state, the PAF and AF are equivalent measures. In scenario simulations and idealized simulations with instantaneous CO <sub>2</sub> removals applied from an equilibrium state, the removal effectiveness of CDR is found to be slightly dependent on the rate and amount of CDR ([[#Tokarska--2015|Tokarska and Zickfeld, 2015]] ; [[#Jones--2016b|Jones et al., 2016b]] ; [[#Zickfeld--2021|Zickfeld et al., 2021]]), and to be strongly dependent on the emissions scenario from which CDR is applied ([[#Jones--2016b|Jones et al., 2016b]] ; [[#Zickfeld--2021|Zickfeld et al., 2021]]). The fraction of CO <sub>2</sub> removed remaining out of the atmosphere decreases slightly for larger removals and decreases strongly when CDR is applied from a lower background atmospheric CO <sub>2</sub> concentration (Figure 5.34), due to state dependencies and climate–carbon cycle feedbacks that lead to a stronger overall response to CO <sub>2</sub> removal ([[#Zickfeld--2021|Zickfeld et al., 2021]]). Based on the ''high agreement'' between studies, we assess with ''medium confidence'' that the removal effectiveness of CDR is only slightly dependent on the rate and magnitude of removal and is smaller at lower background atmospheric CO <sub>2</sub> concentrations. Simulations with Earth system models of intermediate complexity (EMIC) with instantaneous CO <sub>2</sub> removal from different equilibrium initial states suggest that the smaller removal effectiveness of CDR at lower background CO <sub>2</sub> levels results in greater cooling per unit CO <sub>2</sub> removed ([[#Zickfeld--2021|Zickfeld et al., 2021]]). However, there is ''low confidence'' in the robustness of this result as climate sensitivity has been shown to exhibit opposite state dependence in EMICs and ESMs ([[IPCC:Wg1:Chapter:Chapter-7#7.4.3.1|Section 7.4.3.1]]). <div id="_idContainer103" class="_idGenObjectStyleOverride-1"></div> [[File:27eab2cc63805dfdc8394b5b275340e4 IPCC_AR6_WGI_Figure_5_34.png]] '''Figure 5.34 |''' '''Removal effectiveness of carbon dioxide removal (CDR).''' '''(a)''' Fraction of carbon dioxide (CO <sub>2</sub>) remaining out of the atmosphere for idealized model simulations with CDR applied instantly (pulse removals) from climate states in equilibrium with different atmospheric CO <sub>2</sub> concentration levels (one to four times the pre-industrial atmospheric CO <sub>2</sub> concentration; shown on the horizontal axis). The fraction is calculated 100 years after pulse removal. The black triangle and error bar indicate the multi-model mean and standard deviation for the seven Earth system models shown in Figure 5.32 forced with a 100 PgC pulse removal. Other symbols illustrate results with the UVic ESCM model of intermediate complexity for different magnitudes of pulse removals (triangles: –100 PgC; circles: –500 PgC; squares: –1000 PgC). Data for the UVic ESCM is from [[#Zickfeld--2021|Zickfeld et al. (2021)]] . '''(b)''' Perturbation airborne fraction (see text for definition) for model simulations where CDR is applied from four Representative Concentration Pathways (RCPs) (shown on the horizontal axis in terms of their cumulative CO <sub>2</sub> emissions during 2020–2099). Symbols indicate results for four CDR scenarios, which differ in terms of the magnitude and rate of CDR (see [[#Jones--2016b|Jones et al. (2016b)]] for details). Results are based on simulations with the Hadley Centre Simple Climate-Carbon Model and are shown for the year 2100. Data from [[#Jones--2016b|Jones et al. (2016b)]] . Further details on data sources and processing are available in the chapter data table (Table 5.SM.6). <div id="5.6.2.1.4" class="h4-container"></div> <span id="symmetry-of-carbon-cycle-response-to-positive-and-negative-co-2-emissions"></span> ===== 5.6.2.1.4 Symmetry of carbon cycle response to positive and negative CO 2 emissions ===== <div id="h4-19-siblings" class="h4-siblings"></div> It is commonly assumed that the climate–carbon cycle response to a negative CO <sub>2</sub> emission (i.e., removal from the atmosphere) is equal in magnitude and opposite in sign to the response to a positive CO <sub>2</sub> emission of equal magnitude – that is, symmetric. If the response were symmetric, a positive CO <sub>2</sub> emission could be offset by a negative emission of equal magnitude. This subsection assesses the symmetry in the coupled climate–carbon cycle response in model simulations with positive and negative CO <sub>2</sub> emission pulses applied from a pre-industrial climate state. Simulations with seven CMIP6 ESMs and the UVic Earth System Climate Model (ESCM) of intermediate complexity suggest that the carbon cycle response is asymmetric for pulse emissions/removals of ±100 PgC (Figure 5.35). For all models, the fraction of CO <sub>2</sub> remaining in the atmosphere after an emission is larger than the fraction of CO <sub>2</sub> remaining out of the atmosphere after a removal (by 4 ± 3%; mean ± standard deviation). In other words, an emission of CO <sub>2</sub> into the atmosphere is more effective at raising atmospheric CO <sub>2</sub> than an equivalent CO <sub>2</sub> removal is at lowering it. Sensitivity experiments with the UVic ESCM suggest that the asymmetry increases for larger amounts of emissions/removals and is insensitive to the background atmospheric CO <sub>2</sub> concentration from which the emissions/removals are applied (Figure 5.35). This asymmetry in the atmospheric CO <sub>2</sub> response originates from asymmetries in the land and ocean carbon fluxes due to non-linearities in the carbon cycle response to CO <sub>2</sub> and temperature ([[#5.4|Section 5.4]]) ([[#Zickfeld--2021|Zickfeld et al., 2021]]). Given ''medium evidence'' and ''high agreement'' , there is ''medium confidence'' in the sign of the asymmetry of the carbon cycle response to positive and negative CO <sub>2</sub> emissions. The sign of the symmetry of the temperature response differs between models, with three out of seven examined ESMs showing a smaller temperature response to a 100 PgC emission than to an equivalent CO <sub>2</sub> removal. Therefore, there is ''low confidence'' in the sign of the asymmetry of the temperature response to positive and negative CO <sub>2</sub> emissions. <div id="_idContainer105" class="_idGenObjectStyleOverride-1"></div> [[File:0d06ac2654ccbbcf807e96c9a11b2902 IPCC_AR6_WGI_Figure_5_35.png]] '''Figure 5.35 |''' '''Asymmetry in the atmospheric carbon dioxide (CO''' <sub>2</sub> ''') response to CO''' <sub>2</sub> '''emissions and removals.''' Shown are the fractions of total CO <sub>2</sub> emissions remaining in the atmosphere (right-hand side) and CO <sub>2</sub> removals remaining out of the atmosphere (left-hand side) 80–100 after a pulse emission/removal. Triangles and green circles denote results for seven Earth system models (ESMs) and the UVic ESCM model of intermediate complexity forced with ±100 PgC pulses applied from a pre-industrial state (1 × CO <sub>2</sub>) (Carbon Dioxide Removal Model Intercomparison Project (CDRMIP) experiment CDR-pi-pulse; [[#Keller--2018b|Keller et al., 2018b]]). Yellow circles and diamonds indicate UVic ESCM results for CO <sub>2</sub> emissions/removals applied at 1.5 times (1.5 × CO <sub>2</sub>) and 2 times (2 × CO <sub>2</sub>) the pre-industrial CO <sub>2</sub> concentration, respectively. Pulses applied from a 2 × CO <sub>2</sub> state span the magnitude ±100 PgC to ±500 PgC. UVic ESCM data is from [[#Zickfeld--2021|Zickfeld et al. (2021)]] . Further details on data sources and processing are available in the chapter data table (Table 5.SM.6). <div id="box-5.3" class="h2-container box-container"></div> <div class="container-box col-regular">
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