Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
Help about MediaWiki
Special pages
ClimateKG
Search
Search
English
Appearance
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
IPCC:AR6/WGI/Chapter-7
(section)
IPCC
Discussion
English
Read
Edit source
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit source
View history
General
What links here
Related changes
Page information
In other projects
Appearance
move to sidebar
hide
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
== Executive Summary == <div id="h1-1-siblings" class="h1-siblings"></div> This chapter assesses the present state of knowledge of Earth’s energy budget: that is, the main flows of energy into and out of the Earth system, and how these energy flows govern the climate response to a radiative forcing. Changes in atmospheric composition and land use, like those caused by anthropogenic greenhouse gas emissions and emissions of aerosols and their precursors, affect climate through perturbations to Earth’s top-of-atmosphere energy budget. The effective radiative forcings (ERFs) quantify these perturbations, including any consequent adjustment to the climate system (but excluding surface temperature response). How the climate system responds to a given forcing is determined by climate feedbacks associated with physical, biogeophysical and biogeochemical processes. These feedback processes are assessed, as are useful measures of global climate response, namely equilibrium climate sensitivity (ECS) and the transient climate response (TCR). This chapter also assesses emissions metrics, which are used to quantify how the climate response to the emissions of different greenhouse gases compares to the response to the emissions of carbon dioxide (CO <sub>2</sub> ). This chapter builds on the assessment of carbon cycle and aerosol processes from Chapters 5 and 6, respectively, to quantify non-CO <sub>2</sub> biogeochemical feedbacks and the ERF for aerosols. Other chapters in this Report use this chapter’s assessment of ERF, ECS and TCR to help understand historical and future temperature changes (Chapters 3 and 4, respectively), the response to cumulative emissions and the remaining carbon budget (Chapter 5), emissions-based radiative forcing (Chapter 6) and sea level rise (Chapter 9). This chapter builds on findings from the IPCC Fifth Assessment Report (AR5), the Special Report on Global Warming of 1.5°C (SR1.5), the Special Report on the Ocean and Cryosphere in a Changing Climate (SROCC) and the Special Report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas luxes in terrestrial ecosystems (SRCCL). ''Very likely'' ranges are presented unless otherwise indicated. <div id="Earth’s" class="h2-container"></div> <span id="earths-energy-budget"></span> === Earth’s Energy Budget === <div id="h2-1-siblings" class="h2-siblings"></div> '''Since AR5, the accumulation of energy in the Earth system, quantified by changes in the global energy inventory for all components of the climate system, has become established as a robust measure of the rate of global climate change on interannual-to-decadal time scales.''' Compared to changes in global surface air temperature (GSAT), the global energy inventory exhibits less variability, which can mask underlying climate trends. Compared to AR5, there is increased confidence in the quantification of changes in the global energy inventory due to improved observational records and closure of the sea level budget. Energy will continue to accumulate in the Earth system until at least the end of the 21st century, even under strong mitigation scenarios, and will primarily be observed through ocean warming and associated with continued sea level rise through thermal expansion ( ''high confidence'' ). {7.2.2, Box 7.2, Table 7.1, Cross-Chapter Box 9.1, Table 9.5, 9.2.2, 9.6.3} '''The global energy inventory increased by 282 [177 to 387] Zettajoules (ZJ; 10''' 21 '''Joules) for the period 19''' '''71–200''' '''6 and 152 [100 to 205] ZJ for the period 2006–2018.''' This corresponds to an Earth energy imbalance of 0.50 [0.32 to 0.69] W m <sup>–2</sup> for the period 1971–2006, increasing to 0.79 [0.52 to 1.06] W m <sup>–2</sup> for the period 2006–2018, expressed per unit area of Earth’s surface. Ocean heat uptake is by far the largest contribution and accounts for 91% of the total energy change. Compared to AR5, the contribution from land heating has been revised upwards from about 3% to about 5%. Melting of ice and warming of the atmosphere account for about 3% and 1% of the total change respectively. More comprehensive analysis of inventory components and cross-validation of global heating rates from satellite and in situ observations lead to a strengthened assessment relative to AR5 ( ''high confidence'' ). {Box 7.2, 7.2.2, Table 7.1, 7.5.2.3} '''Improved quantification of effective radiative forcing, the climate system radiative response, and the observed energy increase in the Earth system for the period 1971–2018 demonstrate improved closure of the global energy budget compared to AR5.''' Combining the ''likely'' range of ERF with the central estimate of radiative response gives an expected energy gain of 340 [47 to 662] ZJ. Combining the ''likely'' range of climate response with the central estimate of ERF gives an expected energy gain of 340 [147 to 527] ZJ. Both estimates are consistent with an independent observation-based assessment of the global energy increase of 284 [96 to 471] ZJ, ( ''very likely'' range) expressed relative to the estimated 1850–1900 Earth energy imbalance ( ''high confidence'' ). {7.2.2, Box 7.2, 7.3.5, 7.5.2} '''Since AR5, additional evidence for a widespread decline (or dimming) in solar radiation reaching the surface is found in the observational records between the 1950s and 1980s, with a partial recovery (brightening) at many observational sites thereafter''' ( ''high confidence'' ''').''' These trends are neither a local phenomenon nor a measurement artefact ( ''high confidence'' ). Multi-decadal variation in anthropogenic aerosol emissions are thought to be a major contributor ( ''medium confidence'' ), but multi-decadal variability in cloudiness may also have played a role. The downward and upward thermal radiation at the surface has increased in recent decades, in line with increased greenhouse gas concentrations and associated surface and atmospheric warming and moistening ( ''medium confidence'' ). {7.2.2} <div id="Effective" class="h2-container"></div> <span id="effective-radiative-forcing"></span> === Effective Radiative Forcing === <div id="h2-2-siblings" class="h2-siblings"></div> '''For carbon dioxide, methane, nitrous oxide and chlorofluorocarbons, there is now evidence to quantify the effect on ERF of tropospheric adjustments (e.g., from changes in atmospheric temperatures, clouds and water vapour). The assessed ERF for a doubling of carbon dioxide compared to 1750 levels (3.93 ± 0.47 W m''' –2 ''') is larger than in AR5.''' Effective radiative forcings (ERF), introduced in AR5, have been estimated for a larger number of agents and shown to be more closely related to the temperature response than the stratospheric-temperature adjusted radiative forcing. For carbon dioxide, the adjustments include the physiological effects on vegetation ( ''high confidence'' ). {7.3.2} '''The total anthropogenic ERF over the industrial era''' ( '''1750–2019''' ''') was 2.72 [1.96 to 3.48] W m''' –2 '''. This estimate has increased by 0.43 W m''' –2 '''compared to AR5 estimates for 1750–2011.''' This increase includes +0.34 W m <sup>–2</sup> from increases in atmospheric concentrations of well-mixed greenhouse gases (including halogenated species) since 2011, +0.15 W m <sup>–2</sup> from upwards revisions of their radiative efficiencies and +0.10 W m <sup>–2</sup> from re-evaluation of the ozone and stratospheric water vapour ERF. The 0.59 W m <sup>–2</sup> increase in ERF from greenhouse gases is partly offset by a better-constrained assessment of total aerosol ERF that is more strongly negative than in AR5, based on multiple lines of evidence ( ''high confidence'' ). Changes in surface reflectance from land-use change, deposition of light-absorbing particles on ice and snow, and contrails and aviation-induced cirrus have also contributed to the total anthropogenic ERF over the industrial era, with –0.20 [–0.30 to –0.10] W m <sup>–2</sup> ( ''medium confidence'' ), +0.08 [0 to 0.18] W m <sup>–2</sup> ( ''low confidence'' ) and +0.06 [0.02 to 0.10] W m <sup>–2</sup> ( ''low confidence'' ), respectively. {7.3.2, 7.3.4, 7.3.5} '''Anthropogenic emissions of greenhouse gases and their precursors contribute an ERF of 3.84 [3.46 to 4.22] W m''' –2 '''over the industrial era (1750–2019). Most of this total ERF, 3.32 [3.03 to 3.61] W m''' –2 ''', comes from the wel''' '''l-m''' '''ixed greenhouse gases, with changes in ozone and stratospheric water vapour (from methane oxidation) contributing the remainder.''' The ERF of greenhouse gases is composed of 2.16 [1.90 to 2.41] W m <sup>–2</sup> from carbon dioxide, 0.54 [0.43 to 0.65] W m <sup>–2</sup> from methane, 0.41 [0.33 to 0.49] W m <sup>–2</sup> from halogenated species, and 0.21 [0.18 to 0.24] W m <sup>–2</sup> from nitrous oxide. The ERF for ozone is 0.47 [0.24 to 0.71] W m <sup>–2</sup> . The estimate of ERF for ozone has increased since AR5 due to revised estimates of precursor emissions and better accounting for effects of tropospheric ozone precursors in the stratosphere. The estimated ERF for methane has slightly increased due to a combination of increases from improved spectroscopic treatments being somewhat offset by accounting for adjustments ( ''high confidence'' ). {7.3.2, 7.3.5} '''Aerosols contribute an ERF of –1.3 [–2.0 to –0.6] W m''' –2 '''over the industrial era (1750–2014)''' ( ''medium confidence'' '''). The ERF due to aerosol–cloud interactions (ERFaci) contributes most to the magnitude of the total aerosol ERF''' ( ''high confidence'' ''') and is assessed to be –1.0 [–1.7 to –0.3] W m''' –2 ( ''medium confidence'' '''), with the remainder due to aerosol–radiation interactions (ERFari), assessed to be –0.3 [–0.6 to 0.0] W m''' –2 ( ''medium confidence'' ''').''' There has been an increase in the estimated magnitude but a reduction in the uncertainty of the total aerosol ERF relative to AR5, supported by a combination of increased process-understanding and progress in modelling and observational analyses. ERF estimates from these separate lines of evidence are now consistent with each other, in contrast to AR5, and support the assessment that it is ''virtually certain'' that the total aerosol ERF is negative. Compared to AR5, the assessed magnitude of ERFaci has increased, while the magnitude of ERFari has decreased ''.'' The total aerosol ERF over the period 1750–2019 is less certain than the headline statement assessment. It is also assessed to be smaller in magnitude at –1.1 [–1.7 to –0.4] W m <sup>–2</sup> , primarily due to recent emissions changes ( ''medium confidence'' ). {7.3.3, 7.3.5, 2.2.6} <div id="Climate" class="h2-container"></div> <span id="climate-feedbacks-and-sensitivity"></span> === Climate Feedbacks and Sensitivity === <div id="h2-3-siblings" class="h2-siblings"></div> '''The net effect of changes in clouds in response to global warming is to amplify human-induced warming, that is, the net cloud feedback is positive''' ( ''high confidence'' '''). Compared to AR5, major advances in the understanding of cloud processes have increased the level of confidence and decreased the uncertainty range in the cloud feedback by about 50%.''' An assessment of the low-altitude cloud feedback over the subtropical oceans, which was previously the major source of uncertainty in the net cloud feedback, is improved owing to a combined use of climate model simulations, satellite observations, and explicit simulations of clouds, altogether leading to strong evidence that this type of cloud amplifies global warming. The net cloud feedback, obtained by summing the cloud feedbacks assessed for individual regimes, is 0.42 [–0.10 to +0.94] W m <sup>–2</sup> °C <sup>–1</sup> . A net negative cloud feedback is ''very unlikely'' ( ''high confidence'' ). {7.4.2, Figure 7.10, Table 7.10} '''The combined effect of all known radiative feedbacks (physical, biogeophysical, and non-CO''' <sub>2</sub> '''biogeochemical) is to amplify the base climate response, also known as the Planck temperature response''' ( ''virtually certain'' ''').''' Combining these feedbacks with the base climate response, the net feedback parameter based on process understanding is assessed to be –1.16 [–1.81 to –0.51] W m <sup>–2</sup> °C <sup>–1</sup> , which is slightly less negative than that inferred from the overall ECS assessment. The combined water-vapour and lapse-rate feedback makes the largest single contribution to global warming, whereas the cloud feedback remains the largest contribution to overall uncertainty. Due to the state-dependence of feedbacks, as evidenced from paleoclimate observations and from models, the net feedback parameter will increase (become less negative) as global temperature increases. Furthermore, on long time scales the ice-sheet feedback parameter is ''very likely'' positive, promoting additional warming on millennial time scales as ice sheets come into equilibrium with the forcing ( ''high confidence'' ). {7.4.2, 7.4.3, 7.5.7} '''Radiative feedbacks, particularly from clouds, are expected to become less negative (more amplifying) on multi-decadal time scales as the''' ''spatial pattern'' '''of surface warming evolves, leading to an ECS that is higher than was inferred in AR5 based on warming over the instrumental record. This new understanding, along with updated estimates of historical temperature change, ERF, and Earth’s energy imbalance, reconciles previously disparate ECS estimates''' ( ''high confidence'' ''').''' However, there is currently insufficient evidence to quantify a ''likely'' range of the magnitude of future changes to current climate feedbacks. Warming over the instrumental record provides robust constraints on the lower end of the ECS range ( ''high confidence'' ), but owing to the possibility of future feedback changes it does not, on its own, constrain the upper end of the range, in contrast to what was reported in AR5. {7.4.4, 7.5.2, 7.5.3} '''Based on multiple lines of evidence the best estimate of ECS is 3°C, the''' ''likely'' '''range is 2.5°C to 4°C, and the''' ''very likely'' '''range is 2°C to 5°C. It is''' ''virtually certain'' '''that ECS is larger than 1.5°C.''' Substantial advances since AR5 have been made in quantifying ECS based on feedback process understanding, the instrumental record, paleoclimates and emergent constraints. There is a high level of agreement among the different lines of evidence. All lines of evidence help rule out ECS values below 1.5°C, but currently it is not possible to rule out ECS values above 5°C. Therefore, the 5°C upper end of the ''very likely'' range is assessed to have ''medium confidence'' and the other bounds have ''high confidence'' . {7.5.5} '''Based on process understanding, warming over the instrumental record, and emergent constraints, the best estimate of TCR is 1.8°C, the''' ''likely'' '''range is 1.4°C to 2.2°C and the''' ''very likely'' '''range is 1.2°C to 2.4°C''' ( ''high confidence'' ''').''' {7.5.5} '''On average, Coupled Model Intercomparison Project Phase 6 (CMIP6) models have higher mean ECS and TCR values than the Phase 5 (CMIP5) generation of models. They also have higher mean values and wider spreads than the assessed best estimates and''' ''very likely'' '''ranges within this Report.''' These higher ECS and TCR values can, in some models, be traced to changes in extra-tropical cloud feedbacks that have emerged from efforts to reduce biases in these clouds compared to satellite observations ( ''medium confidence'' ). The broader ECS and TCR ranges from CMIP6 also lead the models to project a range of future warming that is wider than the assessed warming range, which is based on multiple lines of evidence. However, some of the high-sensitivity CMIP6 models are less consistent with observed recent changes in global warming and with paleoclimate proxy data than models with ECS within the ''very likely'' range. Similarly, some of the low-sensitivity models are less consistent with the paleoclimate data. The CMIP models with the highest ECS and TCR values provide insights into low-likelihood, high-impact outcomes, which cannot be excluded based on currently available evidence ( ''high confidence'' ). {4.3.1, 4.3.4, 7.4.2, 7.5.6} <span id="climate-response"></span> === Climate Response === <div id="h2-4-siblings" class="h2-siblings"></div> '''The total human-forced GSAT change from 1750 to 2019 is calculated to be 1.29 [0.99 to 1.65] °C. This calculation is an emulator-based estimate, constrained by the historic GSAT and ocean heat content changes from ( [[IPCC:Wg1:Chapter:Chapter-2|Chapter 2]] and the ERF, ECS and TCR from this chapter.''' The calculated GSAT change is composed of a well-mixed greenhouse gas warming of 1.58 [1.17 to 2.17] °C ( ''high confidence'' ), a warming from ozone changes of 0.23 [0.11 to 0.39] °C ( ''high confidence'' ), a cooling of –0.50 [–0.22 to –0.96] °C from aerosol effects ( ''medium confidence'' ), and a –0.06 [–0.15 to +0.01] °C contribution from surface reflectance changes from land-use change and light-absorbing particles on ice and snow ( ''medium confidence'' ). Changes in solar and volcanic activity are assessed to have together contributed a small change of –0.02 [–0.06 to +0.02] °C since 1750 ( ''medium confidence'' ). {7.3.5} '''Uncertainties regarding the true value of ECS and TCR are the dominant source of uncertainty in global temperature projections over the 21st century under moderate to high greenhouse gas emissions scenarios. For scenarios that reach net zero carbon dioxide emissions, the uncertainty in the ERF values of aerosol and other short-lived climate forcers contribute substantial uncertainty in projected temperature.''' Global ocean heat uptake is a smaller source of uncertainty in centennial-time scale surface warming ( ''high confidence'' ). {7.5.7} '''The assessed historical and future ranges of GSAT change in this Report are shown to be internally consistent with the Report’s assessment of key physical-climate indicators: greenhouse gas ERFs, ECS and TCR.''' When calibrated to match the assessed ranges within the assessment, physically based emulators can reproduce the best estimate of GSAT change over 1850–1900 to 1995–2014 to within 5% and the ''very likely'' range of this GSAT change to within 10%. Two physically based emulators match at least two-thirds of the Chapter 4-assessed projected GSAT changes to within these levels of precision. When used for multi-scenario experiments, calibrated physically based emulators can adequately reflect assessments regarding future GSAT from Earth system models and/or other lines of evidence ( ''high confidence'' ). {Cross-Chapter Box 7.1} '''It is now well understood that the Arctic warms more quickly than the Antarctic due to differences in radiative feedbacks and ocean heat uptake between the poles, but that surface warming will eventually be amplified in both the Arctic and Antarctic''' ( ''high confidence'' ''').''' The causes of this polar amplification are well understood, and the evidence is stronger than at the time of AR5, supported by better agreement between modelled and observed polar amplification during warm paleo time periods ( ''high confidence'' ) ''.'' The Antarctic warms more slowly than the Arctic owing primarily to upwelling in the Southern Ocean, and even at equilibrium is expected to warm less than the Arctic. The rate of Arctic surface warming will continue to exceed the global average over this century ( ''high confidence'' ). There is also ''high confidence'' that Antarctic amplification will emerge as the Southern Ocean surface warms on centennial time scales, although only ''low confidence'' regarding whether this feature will emerge during the 21st century. {7.4.4} '''The assessed global warming potentials (GWP) and global temperature-change potentials (GTP) for methane and nitrous oxide are slightly lower than in AR5 due to revised estimates of their lifetimes and updated estimates of their indirect chemical effects''' ( ''medium confidence'' ''').''' The assessed metrics now also include the carbon cycle response for non-CO <sub>2</sub> gases. The carbon cycle estimate is lower than in AR5, but there is ''high confidence'' in the need for its inclusion and in the quantification methodology. Metrics for methane from fossil fuel sources account for the extra fossil CO <sub>2</sub> that these emissions contribute to the atmosphere and so have slightly higher emissions metric values than those from biogenic sources ( ''high confidence'' ). {7.6.1} '''New emissions metric approaches such as GWP* and the combined-GTP (CGTP) are designed to relate emissions rates of short-lived gases to cumulative emissions of CO''' <sub>2</sub> '''. These metric approaches are well suited to estimate the GSAT response from aggregated emissions of a range of gases over time, which can be done by scaling the cumulative CO''' <sub>2</sub> '''equivalent emissions calculated with these metrics by the transient climate response to cumulative emissions of CO''' <sub>2</sub> '''.''' For a given multi-gas emissions pathway, the estimated contribution of emissions to surface warming is improved by using either these new metric approaches or by treating short- and long-lived GHG emissions pathways separately, as compared to approaches that aggregate emissions of GHGs using standard GWP or GTP emissions metrics. By contrast, if emissions are weighted by their 100-year GWP or GTP values, different multi-gas emissions pathways with the same aggregated CO <sub>2</sub> equivalent emissions rarely lead to the same estimated temperature outcome ( ''high confidence'' ). {7.6.1, Box 7.3} '''The choice of emissions metric affects the quantification of net zero GHG emissions and therefore the resulting temperature outcome after net zero emissions are achieved.''' In general, achieving net zero CO <sub>2</sub> emissions and declining non-CO <sub>2</sub> radiative forcing would be sufficient to prevent additional human-caused warming. Reaching net zero GHG emissions as quantified by GWP-100 typically results in global temperatures that peak and then decline after net zero GHGs emissions are achieved, though this outcome depends on the relative sequencing of mitigation of short-lived and long-lived species. In contrast, reaching net zero GHG emissions when quantified using new emissions metrics such as CGTP or GWP* would lead to approximate temperature stabilization ( ''high confidence'' ). {7.6.2} <div id="7.1" class="h1-container"></div> <span id="introduction-conceptual-framework-and-advances-since-the-fifth-assessment-report"></span>
Summary:
Please note that all contributions to ClimateKG may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see
ClimateKG:Copyrights
for details).
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)
Search
Search
Editing
IPCC:AR6/WGI/Chapter-7
(section)
Add languages
Add topic