fbpx
Wikipedia

Climate change feedbacks

Climate change feedbacks are processes in the climate system which amplify or diminish the effect of forces that initially cause the warming. Positive feedbacks enhance global warming while negative feedbacks weaken it.[3]: 2233  Feedbacks are important in the understanding of climate change because they play an important part in determining the sensitivity of the climate to warming forces. Climate forcings and feedbacks together determine how much and how fast the climate changes.[4]

Examples of some effects of global warming that can amplify (positive feedbacks) or reduce (negative feedbacks) global warming[1][2]: 96 

The main positive feedback is that warming increases the amount of atmospheric water vapor, which is a powerful greenhouse gas.[5] Another positive feedback is the loss of reflective snow and ice cover. Positive carbon cycle feedbacks occur when organic matter burns or decays, releasing CO2 back into the atmosphere. Loss of organic matter can happen through rainforest drying, forest fires, and desertification. Methane can also be released into the atmosphere by thawing permafrost.

The main cooling effect is called the Planck response, which comes from the Stefan–Boltzmann law. It states that the total energy radiated per unit surface area per unit time is directly proportional to the fourth power of the black body's temperature. The carbon cycle acts a negative feedback as it absorbs more than half of CO2 emissions every year. Atmospheric CO2 gets absorbed into rocks and into plants. It also gets dissolved in the ocean where it leads to ocean acidification.

There are several types feedbacks: physical feedbacks, biological feedbacks and carbon cycle feedbacks. Calculations can give different results depending on the time frame and location that is used. Carbon cycle feedbacks are negative, which means that as atmospheric concentrations increase, carbon uptake also increases. However, higher temperatures and saturation of carbon sinks decrease that negative feedback effect. Overall feedbacks are expected to trend in a positive direction for the near future, though the Planck response will become increasingly negative as the planet warms.[6]: 94–95  There is no threat of a runaway greenhouse effect from current climate change.

Definition and terminology edit

In climate science, a feedback that amplifies an initial warming is called a positive feedback.[1] On the other hand, a feedback that reduces an initial warming is called a negative feedback.[1] Naming a feedback positive or negative does not imply that the feedback is good or bad.[7]

A 2021 IPCC glossary defines a positive feedback as one in which an initial perturbation is enhanced, and a negative feedback as one in which the initial perturbation is weakened by the changes it causes.[8]: 2222  The glossary explains that the initial perturbation may be externally forced, or may arise through the climate system's internal variability.[8]: 2222 

Here, external forcing refers to "a forcing agent outside the climate system causing a change in the climate system"[8]: 2229  that may push the climate system in the direction of warming or cooling.[9] External forcings may be human-caused (for example, greenhouse gas emissions or land use change) or natural (for example, volcanic eruptions).[8]: 2229 

Physical feedbacks edit

Planck response (negative) edit

Planck response is "the most fundamental feedback in the climate system".[10]: 19  As the temperature of a black body increases, the emission of infrared radiation increases with the fourth power of its absolute temperature according to the Stefan–Boltzmann law. This increases the amount of outgoing radiation back into space as the Earth warms.[11] It is a strong stabilizing response and has sometimes been called the "no-feedback response" because it is an intensive property of a thermodynamic system when considered to be purely a function of temperature.[12] Although Earth has an effective emissivity less than unity, the ideal black body radiation emerges as a separable quantity when investigating perturbations to the planet's outgoing radiation.

The Planck "feedback" or Planck response is the comparable radiative response obtained from analysis of practical observations or global climate models (GCMs). Its expected strength has been most simply estimated from the derivative of the Stefan-Boltzmann equation as -4σT3 = -3.8 W/m2/K (watts per square meter per degree of warming).[11][12] Accounting from GCM applications has sometimes yielded a reduced strength, as caused by extensive properties of the stratosphere and similar residual artifacts subsequently identified as being absent from such models.[12] Most extensive "grey body" properties of Earth that influence the outgoing radiation are usually postulated to be encompassed by the other GCM feedback components, and to be distributed in accordance with a particular forcing-feedback formulation of the climate system.[13] Ideally the Planck response strength obtained from GCMs, indirect measurements, and black body estimates will further converge as analysis methods continue to mature.

Water vapor feedback (positive) edit

 
Atmospheric gases only absorb some wavelengths of energy but are transparent to others. The absorption patterns of water vapor (blue peaks) and carbon dioxide (pink peaks) overlap in some wavelengths.[14]

According to Clausius–Clapeyron relation, saturation vapor pressure is higher in a warmer atmosphere, and so the absolute amount of water vapor will increase as the atmosphere warms. It is sometimes also called the specific humidity feedback,[15]: 969  because the relative humidity stays nearly constant or even decreases slightly due to the warmer air.[16] Since water vapor is a greenhouse gas, the increase in water vapor content makes the atmosphere warm further, which allows the atmosphere to hold still more water vapor. Thus, a positive feedback loop is formed, which continues until the negative feedbacks bring the system to equilibrium.[15]: 969 

Increases in atmospheric water vapor have been detected from satellites, and calculations based on these observations place this feedback strength at 1.85 ± 0.32 m2/K. This is very similar to model estimates, which are at 1.77 ± 0.20 m2/K[15]: 969  Either value effectively doubles the warming that would otherwise occur from CO2 increases alone.[17] Like with the other physical feedbacks, this is already accounted for in the warming projections under climate change scenarios.

Lapse rate (negative) edit

The lapse rate is the rate at which an atmospheric variable, normally temperature in Earth's atmosphere, falls with altitude.[18][19] It is therefore a quantification of temperature, related to radiation, as a function of altitude, and is not a separate phenomenon in this context. The lapse rate feedback is generally a negative feedback. However, it is in fact a positive feedback in polar regions where it strongly contributed to polar amplified warming, one of the biggest consequences of climate change.[20] This is because in regions with strong inversions, such as the polar regions, the lapse rate feedback can be positive because the surface warms faster than higher altitudes, resulting in inefficient longwave cooling.[21][22][23]

The atmosphere's temperature decreases with height in the troposphere. Since emission of infrared radiation varies with temperature, longwave radiation escaping to space from the relatively cold upper atmosphere is less than that emitted toward the ground from the lower atmosphere. Thus, the strength of the greenhouse effect depends on the atmosphere's rate of temperature decrease with height. Both theory and climate models indicate that global warming will reduce the rate of temperature decrease with height, producing a negative lapse rate feedback that weakens the greenhouse effect.[21] Measurements of the rate of temperature change with height are very sensitive to small errors in observations, making it difficult to establish whether the models agree with observations.[10]: 25 [24]

Surface albedo feedback (positive) edit

 
Average decadal extent and area of the Arctic Ocean sea ice since the start of satellite observations.
 
Annual trend in the Arctic sea ice extent and area for the 2011-2022 time period.

Albedo is the measure of how strongly the planetary surface can reflect solar radiation, which prevents its absorption and thus has a cooling effect. Brighter and more reflective surfaces have a high albedo and darker surfaces have a low albedo, so they heat up more. The most reflective surfaces are ice and snow, so surface albedo changes are overwhelmingly associated with what is known as the ice-albedo feedback. A minority of the effect is also associated with changes in physical oceanography, soil moisture and vegetation cover.[15]: 970 

The presence of ice cover and sea ice makes the North Pole and the South Pole colder than they would have been without it.[25] During glacial periods, additional ice increases the reflectivity, which reduces the absorption of solar radiation, resulting in more cooling through a continuing cycle.[26] But when warming occurs and the ice melts, darker land or open water takes its place and this causes more warming, which in turn causes more melting, and this cycle continues until an equilibrium is found.[27][28] Consequently, recent Arctic sea ice decline is one of the primary factors behind the Arctic warming nearly four times faster than the global average since 1979 (the year when continuous satellite readings of the Arctic sea ice began), in a phenomenon known as Arctic amplification.[29][30] Conversely, the high stability of ice cover in Antarctica, where the East Antarctic ice sheet rises nearly 4 km above the sea level, means that it has experienced very little net warming over the past seven decades.[31][32][33][34]

 
Aerial photograph showing a section of sea ice. The lighter blue areas are melt ponds and the darkest areas are open water; both have a lower albedo than the white sea ice, so their presence increases local and global temperatures, which helps to spur more melting

As of 2021, the total surface feedback strength is estimated at 0.35 [0.10 to 0.60] W m2/K.[2]: 95  On its own, Arctic sea ice decline between 1979 and 2011 is estimated to have been responsible for 0.21 (W/m2) of radiative forcing, which is equivalent to a quarter of radiative forcing from CO2 increases over the same period.[28] The combined change in all sea ice cover between 1992 and 2018 is equivalent to 10% of all the anthropogenic greenhouse gas emissions.[35] When CMIP5 models estimate a total loss of Arctic sea ice cover from June to September (a plausible outcome under higher levels of warming), it increases the global temperatures by 0.19 °C (0.34 °F), with a range of 0.16–0.21 °C, while the regional temperatures would increase by over 1.5 °C (2.7 °F). This estimate includes the second-order effects such the impact from ice loss on lapse rate feedback, the changes in water vapor concentrations and regional cloud feedbacks.[36] All of these calculations are already part of every CMIP5 and CMIP6 model, so they would not represent a source of "additional" warming on top of their existing projections.[37]

Cloud feedback (positive) edit

 
Details of how clouds interact with shortwave and longwave radiation at different atmospheric heights[38]

Seen from below, clouds emit infrared radiation back to the surface, which has a warming effect; seen from above, clouds reflect sunlight and emit infrared radiation to space, leading to a cooling effect. Low clouds are bright and very reflective, so they lead to strong cooling, while high clouds are too thin and transparent to effectively reflect sunlight, so they cause overall warming.[39] As a whole, clouds have a substantial cooling effect.[15]: 1022  However, climate change is expected to alter the distribution of cloud types in a way that reduces their cooling and thus accelerates overall warming, and so changes to clouds represent a positive feedback.[2]: 95 

As of 2021, cloud feedback strength is estimated at 0.42 [–0.10 to 0.94] W m2/K.[2]: 95  This is the largest confidence interval of any climate feedback, and it occurs because some cloud types (most of which are present over the oceans) have been very difficult to observe, so climate models don't have as much data to go on with when they attempt to simulate their behaviour.[15]: 975  Additionally, clouds have been strongly affected by aerosol particles, mainly from the unfiltered burning of sulfur-rich fossil fuels such as coal and bunker fuel. Any estimate of cloud feedback needs to disentangle the effects of so-called global dimming caused by these particles as well.[40][41]

Thus, estimates of cloud feedback differ sharply between climate models. Models with the strongest cloud feedback have the highest climate sensitivity, which means that they simulate much stronger warming in response to a doubling of CO2 (or equivalent greenhouse gas) concentrations than the rest.[42][43] Around 2020, a small fraction of models was found to simulate so much warming as the result that they had contradicted paleoclimate evidence from fossils,[44][45] and their output was effectively excluded from the climate sensitivity estimate of the IPCC Sixth Assessment Report.[2]: 93 [46]

Biogeophysical and biogeochemical feedbacks edit

CO2 feedbacks (mostly negative) edit

 
The impulse response following a 100 GtC injection of CO2 into Earth's atmosphere.[47] The majority of excess carbon is removed by ocean and land sinks in less than a few centuries, while a substantial portion persists.

There are positive and negative climate feedbacks from Earth's carbon cycle. Negative feedbacks are large, and play a great role in the studies of climate inertia or of dynamic (time-dependent) climate change. Because they are considered relatively insensitive to temperature changes, they are sometimes considered separately or disregarded in studies which aim to quantify climate sensitivity.[13] [48]Global warming projections have included carbon cycle feedbacks since the IPCC Fourth Assessment Report (AR4) in 2007.[49] While the scientific understanding of these feedbacks was limited at the time, it had improved since then.[50] These positive feedbacks include an increase in wildfire frequency and severity, substantial losses from tropical rainforests due to fires and drying and tree losses elsewhere.[51][52][53][54] [55][56][57][58]

Altogether, carbon sinkss in the land and ocean absorb around half of the current emissions. Their future absorption is dynamic. In the future, if the emissions decrease, the fraction they absorb will increase, and they will absorb up to three-quarters of the remaining emissions - yet, the raw amount absorbed will decrease from the present. On the contrary, if the emissions will increase, then the raw amount absorbed will increase from now, yet the fraction could decline to one-third by the end of the 21st century.[59]: 22  If the emissions remain very high after the 21st century, carbon sinks would eventually be completely overwhelmed, with the ocean sink diminished further and land ecosystems outright becoming a net source.[60]: 677  Hypothetically, very strong carbon dioxide removal could also result in land and ocean carbon sinks becoming net sources for several decades.[60]: 677 

Role of oceans edit

Following Le Chatelier's principle, the chemical equilibrium of the Earth's carbon cycle will shift in response to anthropogenic CO2 emissions. The primary driver of this is the ocean, which absorbs anthropogenic CO2 via the so-called solubility pump. At present this accounts for only about one third of the current emissions, but ultimately most (~75%) of the CO2 emitted by human activities will dissolve in the ocean over a period of centuries: "A better approximation of the lifetime of fossil fuel CO2 for public discussion might be 300 years, plus 25% that lasts forever".[61] However, the rate at which the ocean will take it up in the future is less certain, and will be affected by stratification induced by warming and, potentially, changes in the ocean's thermohaline circulation. It is believed that the single largest factor in determining the total strength of the global carbon sink is the state of the Southern Ocean - particularly of the Southern Ocean overturning circulation.[62]

Chemical weathering edit

Chemical weathering over the geological long term acts to remove CO2 from the atmosphere. With current global warming, weathering is increasing, demonstrating significant feedbacks between climate and Earth surface.[63] Biosequestration also captures and stores CO2 by biological processes. The formation of shells by organisms in the ocean, over a very long time, removes CO2 from the oceans.[64] The complete conversion of CO2 to limestone takes thousands to hundreds of thousands of years.[65]

Primary production through photosynthesis edit

Net primary productivity of plants' and phytoplankton grows as the increased CO2 fuels their photosynthesis in what is known as the CO2 fertilization effect. Additionally, plants require less water as the atmospheric CO2 concentrations increase, because they lose less moisture to evapotranspiration through open stomata (the pores in leaves through which CO2 is absorbed). However, increased droughts in certain regions can still limit plant growth, and the warming beyond optimum conditions has a consistently negative impact. Thus, estimates for the 21st century show that plants would become more a lot more abundant at high latitudes near the poles but grow much less near the tropics - there is only medium confidence that tropical ecosystems would gain more carbon relative to now. However, there is high condidence that the total land cabrbon sink will remain positive.[60]: 677 

Non-CO2 (unclear) edit

 
Methane climate feedbacks in natural ecosystems.

Release of gases of biological origin would be affected by global warming, and this includes climate-relevant gases such as methane, nitrous oxide or dimethyl sulfide.[66][67] Others, such as dimethyl sulfide released from oceans, have indirect effects.[68] Emissions of methane from land (particularly from wetlands) and of nitrous oxide from land and oceans are a known positive feedback.[69] I.e. long-term warming changes the balance in the methane-related microbial community within freshwater ecosystems so they produce more methane while proportionately less is oxidised to carbon dioxide.[70] There would also be biogeophysical changes which affect the albedo. For instance, larch in some sub-arctic forests are being replaced by spruce trees. This has a limited contribution to warming, because larch trees shed their needles in winter and so they end up more extensively covered in snow than the spruce trees which retain their dark needles all year.[71]

On the other hand, changes in emissions of compounds such sea salt, dimethyl sulphide, dust, ozone and a range of biogenic volatile organic compounds are expected to be negative overall. As of 2021, all of these non-CO2 feedbacks are believed to practically cancel each other out, but there is only low confidence, and the combined feedbacks could be up to 0.25 W m2/K in either direction.[15]: 967 

Permafrost (positive) edit

Permafrost is not included in the estimates above, as it is difficult to model, and the estimates of its role is strongly time-dependent as its carbon pools are depleted at different rates under different warming levels.[15]: 967  Instead, it is treated as a separate process that will contribute to near-term warming, with the best estimates shown below.

 
Nine probable scenarios of greenhouse gas emissions from permafrost thaw during the 21st century, which show a limited, moderate and intense CO2 and CH4 emission response to low, medium and high-emission Representative Concentration Pathways. The vertical bar uses emissions of selected large countries as a comparison: the right-hand side of the scale shows their cumulative emissions since the start of the Industrial Revolution, while the left-hand side shows each country's cumulative emissions for the rest of the 21st century if they remained unchanged from their 2019 levels.[72]

Altogether, it is expected that cumulative greenhouse gas emissions from permafrost thaw will be smaller than the cumulative anthropogenic emissions, yet still substantial on a global scale, with some experts comparing them to emissions caused by deforestation.[72] The IPCC Sixth Assessment Report estimates that carbon dioxide and methane released from permafrost could amount to the equivalent of 14–175 billion tonnes of carbon dioxide per 1 °C (1.8 °F) of warming.[73]: 1237  For comparison, by 2019, annual anthropogenic emissions of carbon dioxide alone stood around 40 billion tonnes.[73]: 1237  A major review published in the year 2022 concluded that if the goal of preventing 2 °C (3.6 °F) of warming was realized, then the average annual permafrost emissions throughout the 21st century would be equivalent to the year 2019 annual emissions of Russia. Under RCP4.5, a scenario considered close to the current trajectory and where the warming stays slightly below 3 °C (5.4 °F), annual permafrost emissions would be comparable to year 2019 emissions of Western Europe or the United States, while under the scenario of high global warming and worst-case permafrost feedback response, they would approach year 2019 emissions of China.[72]

Fewer studies have attempted to describe the impact directly in terms of warming. A 2018 paper estimated that if global warming was limited to 2 °C (3.6 °F), gradual permafrost thaw would add around 0.09 °C (0.16 °F) to global temperatures by 2100,[74] while a 2022 review concluded that every 1 °C (1.8 °F) of global warming would cause 0.04 °C (0.072 °F) and 0.11 °C (0.20 °F) from abrupt thaw by the year 2100 and 2300. Around 4 °C (7.2 °F) of global warming, abrupt (around 50 years) and widespread collapse of permafrost areas could occur, resulting in an additional warming of 0.2–0.4 °C (0.36–0.72 °F).[75][76]

Long-term feedbacks edit

Ice sheets edit

 
Global warming caused by the potential disappearance of the four notable ice masses and their albedo, assuming an average warming level of 1.5 °C (2.7 °F) throughout.[36] While mountain glaciers and summer Arctic sea ice can be lost in a century or two, total ice sheet loss requires multiple millennia.[77][78]

The Earth's two remaining ice sheets, the Greenland ice sheet and the Antarctic ice sheet, cover the world's largest island and an entire continent, and both of them are also around 2 km (1 mi) thick on average.[79][80] Due to this immense size, their response to warming is measured in thousands of years and is believed to occur in two stages.[15]: 977 

The first stage would be the effect from ice melt on thermohaline circulation. Because meltwater is completely fresh, it makes it harder for the surface layer of water to sink beneath the lower layers, and this disrupts the exchange of oxygen, nutrients and heat between the layers. This would act as a negative feedback - sometimes estimated as a cooling effect of 0.2 °C (0.36 °F) over a 1000-year average, though the research on these timescales has been limited.[15]: 977  An even longer-term effect is the ice-albedo feedback from ice sheets reaching their ultimate state in response to whatever the long-term temperature change would be. Unless the warming is reversed entirely, this feedback would be positive.[15]: 977  The total loss of the Greenland Ice Sheet is estimated to add0.13 °C (0.23 °F) to global warming (with a range of 0.04–0.06 °C), while the loss of the West Antarctic Ice Sheet adds 0.05 °C (0.090 °F) (0.04–0.06 °C), and East Antarctic ice sheet 0.6 °C (1.1 °F)[36] Total loss of the Greenland ice sheet would also increase regional temperatures in the Arctic by between 0.5 °C (0.90 °F) and 3 °C (5.4 °F), while the regional temperature in Antarctica is likely to go up by 1 °C (1.8 °F) after the loss of the West Antarctic ice sheet and 2 °C (3.6 °F) after the loss of the East Antarctic ice sheet.[77][78]

These estimates assume that global warming stays at an average of 1.5 °C (2.7 °F). Because of the logarithmic growth of the greenhouse effect,[2]: 80  the impact from ice loss would be larger at the slightly lower warming level of 2020s, but it would become lower if the warming proceeds towards higher levels.[36] While Greenland and the West Antartic ice sheet are likely committed to melting entirely if the long-term warming is around 1.5 °C (2.7 °F), the East Antarctic ice sheet would not be at risk of complete disappearance until the very high global warming of 5–10 °C (9.0–18.0 °F)[77][78]

Methane hydrates edit

Methane hydrates or methane clathrates] are frozen compounds where a large amount of methane is trapped within a crystal structure of water, forming a solid similar to ice.[81] On Earth, they generally lie beneath sediments on the ocean floors, (approximately 1,100 m (3,600 ft) below the sea level).[82] Around 2008, there was a serious concern that a large amount of hydrates from relatively shallow deposits in the Arctic, particularly around the East Siberian Arctic Shelf, could quickly break down and release large amounts of methane, potentially leading to 6 °C (11 °F) within 80 years.[83][84] Current research shows that hydrates react very slowly to warming, and that it's very difficult for methane to reach the atmosphere after dissociation on the seafloor.[85][86] Thus, no "detectable" impact on the global temperatures is expected to occur in this century due to methane hydrates.[60]: 677  Some research suggests hydrate dissociation can still cause a warming of 0.4–0.5 °C (0.72–0.90 °F) over several millennia.[87]

Mathematical formulation of global energy imbalance edit

Earth is a thermodynamic system for which long-term temperature changes follow the global energy imbalance (EEI stands for Earth's energy imbalance):

 

where ASR is the absorbed solar radiation and OLR is the outgoing longwave radiation at top of atmosphere. When EEI is positive the system is warming, when it is negative they system is cooling, and when it is approximately zero then there is neither warming or cooling. The ASR and OLR terms in this expression encompass many temperature-dependent properties and complex interactions that govern system behavior.[88]

In order to diagnose that behavior around a relatively stable equilibrium state, one may consider a perturbation to EEI as indicated by the symbol Δ. Such a perturbation is induced by a radiative forcing (ΔF) which can be natural or man-made. Responses within the system to either return back towards the stable state, or to move further away from the stable state are called feedbacks λΔT:

 .

Collectively the feedbacks are approximated by the linearized parameter λ and the perturbed temperature ΔT because all components of λ (assumed to be first-order to act independently and additively) are also functions of temperature, albeit to varying extents, by definition for a thermodynamic system:

 .

Some feedback components having significant influence on EEI are:  = water vapor,  = clouds,  = surface albedo,  = carbon cycle,  = Planck response, and  = lapse rate. All quantities are understood to be global averages, while T is usually translated to temperature at the surface because of its direct relevance to humans and much other life.[13]

The negative Planck response, being an especially strong function of temperature, is sometimes factored out to give an expression in terms of the relative feedback gains gi from other components:

 .

For example   for the water vapor feedback.

Within the context of modern numerical climate modelling and analysis, the linearized formulation has limited use. One such use is to diagnose the relative strengths of different feedback mechanisms. An estimate of climate sensitivity to a forcing is then obtained for the case where the net feedback remains negative and the system reaches a new equilibrium state (ΔEEI=0) after some time has passed:[10]: 19–20 

 .

Implications for climate policy edit

Uncertainty over climate change feedbacks has implications for climate policy. For instance, uncertainty over carbon cycle feedbacks may affect targets for reducing greenhouse gas emissions (climate change mitigation).[89] Emissions targets are often based on a target stabilization level of atmospheric greenhouse gas concentrations, or on a target for limiting global warming to a particular magnitude. Both of these targets (concentrations or temperatures) require an understanding of future changes in the carbon cycle. If models incorrectly project future changes in the carbon cycle, then concentration or temperature targets could be missed. For example, if models underestimate the amount of carbon released into the atmosphere due to positive feedbacks (e.g., due to thawing permafrost), then they may also underestimate the extent of emissions reductions necessary to meet a concentration or temperature target.[citation needed]

See also edit

References edit

  1. ^ a b c "The Study of Earth as an Integrated System". nasa.gov. NASA. 2016. from the original on November 2, 2016.
  2. ^ a b c d e f Arias, Paola A.; Bellouin, Nicolas; Coppola, Erika; Jones, Richard G.; Krinner, Gerhard (2021). (PDF). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (Report). Cambridge University Press, Cambridge, UK and New York, NY, US. pp. 35–144. doi:10.1017/9781009157896.009. Archived from the original (PDF) on 21 July 2022.
  3. ^ IPCC, 2021: Annex VII: Glossary [Matthews, J.B.R., V. Möller, R. van Diemen, J.S. Fuglestvedt, V. Masson-Delmotte, C.  Méndez, S. Semenov, A. Reisinger (eds.)]. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 2215–2256, doi:10.1017/9781009157896.022.
  4. ^ IPCC (2021). "Summary for Policymakers" (PDF). The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. p. 40. ISBN 978-92-9169-158-6.
  5. ^ . ipcc.ch. Archived from the original on 2010-04-09. Retrieved 2010-04-23.
  6. ^ IPCC (2021). Masson-Delmotte, V.; Zhai, P.; Pirani, A.; Connors, S. L.; et al. (eds.). Climate Change 2021: The Physical Science Basis (PDF). Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York, NY, US: Cambridge University Press (In Press).
  7. ^ "Climate change and feedback loops" (PDF). National Oceanographic and Atmospheric Administration (NOAA). (PDF) from the original on 25 July 2023.
  8. ^ a b c d IPCC, 2021: Annex VII: Glossary [Matthews, J.B.R., V. Möller, R. van Diemen, J.S. Fuglestvedt, V. Masson-Delmotte, C.  Méndez, S. Semenov, A. Reisinger (eds.)]. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 2215–2256, doi:10.1017/9781009157896.022.
  9. ^ US NRC (2012), Climate Change: Evidence, Impacts, and Choices / How much are human activities heating Earth, US National Research Council (US NRC), p.9. Also available as PDF 2013-02-20 at the Wayback Machine
  10. ^ a b c National Research Council Panel on Climate Change Feedbacks (2003). Understanding Climate Change Feedbacks (Free PDF download). Washington D.C., United States: National Academies Press. doi:10.17226/10850. ISBN 978-0-309-09072-8.
  11. ^ a b Yang, Zong-Liang. "Chapter 2: The global energy balance" (PDF). University of Texas. Retrieved 2010-02-15.
  12. ^ a b c Cronin, Timothy W.; Dutta, Ishir (17 July 2023). "How Well Do We Understand the Planck Feedback". Journal of Advances in Modeling Earth Systems. 15 (7): 1–19. Bibcode:2023JAMES..1503729C. doi:10.1029/2023MS003729.
  13. ^ a b c Bony, Sandrine; Colman, Robert; Kattsov, Vladimir M.; Allan, Richard P.; Bretherton, Christopher S.; Dufresne, Jean-Louis; Hall, Alex; Hallegatte, Stephane; Holland, Marika M.; Ingram, William; Randall, David A.; Soden, Brian J.; Tseliousis, George; Webb, Mark J. (1 August 2006). "How Well Do We Understand and Evaluate Climate Change Feedback Processes?". Journal of Climate. 19 (15): 3445–3482. Bibcode:2006JCli...19.3445B. doi:10.1175/JCLI3819.1.See Appendices A and B for a more detailed review of this and similar formulations
  14. ^ "NASA: Climate Forcings and Global Warming". January 14, 2009. from the original on 18 April 2021. Retrieved 20 April 2014.
  15. ^ a b c d e f g h i j k Forster, P.; Storelvmo, T.; Armour, K.; Collins, W.; Dufresne, J.-L.; Frame, D.; Lunt, D.J.; Mauritsen, T.; Watanabe, M.; Wild, M.; Zhang, H. (2021). Masson-Delmotte, V.; Zhai, P.; Pirani, A.; Connors, S. L.; Péan, C.; Berger, S.; Caud, N.; Chen, Y.; Goldfarb, L. (eds.). Chapter 7: The Earth's Energy Budget, Climate Feedbacks, and Climate Sensitivity (PDF). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (Report). Cambridge University Press, Cambridge, UK and New York, NY, US. pp. 923–1054. doi:10.1017/9781009157896.009.
  16. ^ Soden, B. J.; Held, I. M. (2006). "An Assessment of Climate Feedbacks in Coupled Ocean–Atmosphere Models". Journal of Climate. 19 (14): 3354. Bibcode:2006JCli...19.3354S. doi:10.1175/JCLI3799.1. Interestingly, the true feedback is consistently weaker than the constant relative humidity value, implying a small but robust reduction in relative humidity in all models on average clouds appear to provide a positive feedback in all models
  17. ^ (PDF). Archived from the original (PDF) on 2010-07-14. Retrieved 2010-09-02.
  18. ^ Jacobson, Mark Zachary (2005). Fundamentals of Atmospheric Modeling (2nd ed.). Cambridge University Press. ISBN 978-0-521-83970-9.
  19. ^ Ahrens, C. Donald (2006). Meteorology Today (8th ed.). Brooks/Cole Publishing. ISBN 978-0-495-01162-0.
  20. ^ "Introduction to climate dynamics and climate modelling - Water vapour and lapse rate feedbacks". www.climate.be. Retrieved 2023-08-28.
  21. ^ a b Armour, Kyle C.; Bitz, Cecilia M.; Roe, Gerard H. (1 July 2013). "Time-Varying Climate Sensitivity from Regional Feedbacks". Journal of Climate. 26 (13): 4518–4534. Bibcode:2013JCli...26.4518A. doi:10.1175/jcli-d-12-00544.1. hdl:1721.1/87780. S2CID 2252857.
  22. ^ Goosse, Hugues; Kay, Jennifer E.; Armour, Kyle C.; Bodas-Salcedo, Alejandro; Chepfer, Helene; Docquier, David; Jonko, Alexandra; Kushner, Paul J.; Lecomte, Olivier; Massonnet, François; Park, Hyo-Seok; Pithan, Felix; Svensson, Gunilla; Vancoppenolle, Martin (15 May 2018). "Quantifying climate feedbacks in polar regions". Nature Communications. 9 (1): 1919. Bibcode:2018NatCo...9.1919G. doi:10.1038/s41467-018-04173-0. PMC 5953926. PMID 29765038.
  23. ^ Hahn, L. C.; Armour, K. C.; Battisti, D. S.; Donohoe, A.; Pauling, A. G.; Bitz, C. M. (28 August 2020). "Antarctic Elevation Drives Hemispheric Asymmetry in Polar Lapse Rate Climatology and Feedback". Geophysical Research Letters. 47 (16): e88965. Bibcode:2020GeoRL..4788965H. doi:10.1029/2020GL088965. S2CID 225410590.
  24. ^ A.E. Dessler; S.C. Sherwood (20 February 2009). (PDF). Science. 323 (5917): 1020–1021. doi:10.1126/science.1171264. PMID 19229026. S2CID 10362192. Archived from the original (PDF) on 2010-07-14. Retrieved 2010-09-02.
  25. ^ Deser, Clara; Walsh, John E.; Timlin, Michael S. (1 February 2000). "Arctic Sea Ice Variability in the Context of Recent Atmospheric Circulation Trends". J. Climate. 13 (3): 617–633. Bibcode:2000JCli...13..617D. CiteSeerX 10.1.1.384.2863. doi:10.1175/1520-0442(2000)013<0617:ASIVIT>2.0.CO;2.
  26. ^ Treut, H. Le; Hansen, J.; Raynaud, D.; Jouzel, J.; Lorius, C. (September 1990). "The ice-core record: climate sensitivity and future greenhouse warming". Nature. 347 (6289): 139–145. Bibcode:1990Natur.347..139L. doi:10.1038/347139a0. ISSN 1476-4687. S2CID 4331052.
  27. ^ De Vrese, Philipp; Stacke, Tobias; Rugenstein, Jeremy Caves; Goodman, Jason; Brovkin, Victor (14 May 2021). "Snowfall-albedo feedbacks could have led to deglaciation of snowball Earth starting from mid-latitudes". Communications Earth & Environment. 2 (1): 91. Bibcode:2021ComEE...2...91D. doi:10.1038/s43247-021-00160-4.
  28. ^ a b Pistone, Kristina; Eisenman, Ian; Ramanathan, Veerabhadran (2019). "Radiative Heating of an Ice-Free Arctic Ocean". Geophysical Research Letters. 46 (13): 7474–7480. Bibcode:2019GeoRL..46.7474P. doi:10.1029/2019GL082914. ISSN 1944-8007. S2CID 197572148.
  29. ^ Rantanen, Mika; Karpechko, Alexey Yu; Lipponen, Antti; Nordling, Kalle; Hyvärinen, Otto; Ruosteenoja, Kimmo; Vihma, Timo; Laaksonen, Ari (11 August 2022). "The Arctic has warmed nearly four times faster than the globe since 1979". Communications Earth & Environment. 3 (1): 168. Bibcode:2022ComEE...3..168R. doi:10.1038/s43247-022-00498-3. hdl:11250/3115996. ISSN 2662-4435. S2CID 251498876.
  30. ^ Dai, Aiguo; Luo, Dehai; Song, Mirong; Liu, Jiping (10 January 2019). "Arctic amplification is caused by sea-ice loss under increasing CO2". Nature Communications. 10 (1): 121. Bibcode:2019NatCo..10..121D. doi:10.1038/s41467-018-07954-9. PMC 6328634. PMID 30631051.
  31. ^ Singh, Hansi A.; Polvani, Lorenzo M. (10 January 2020). "Low Antarctic continental climate sensitivity due to high ice sheet orography". npj Climate and Atmospheric Science. 3 (1): 39. Bibcode:2020npCAS...3...39S. doi:10.1038/s41612-020-00143-w. S2CID 222179485.
  32. ^ Steig, Eric; Schneider, David; Rutherford, Scott; Mann, Michael E.; Comiso, Josefino; Shindell, Drew (1 January 2009). "Warming of the Antarctic ice-sheet surface since the 1957 International Geophysical Year". Arts & Sciences Faculty Publications.
  33. ^ Xin, Meijiao; Li, Xichen; Stammerjohn, Sharon E; Cai, Wenju; Zhu, Jiang; Turner, John; Clem, Kyle R; Song, Chentao; Wang, Wenzhu; Hou, Yurong (17 May 2023). "A broadscale shift in antarctic temperature trends". Climate Dynamics. 61 (9–10): 4623–4641. Bibcode:2023ClDy...61.4623X. doi:10.1007/s00382-023-06825-4. S2CID 258777741.
  34. ^ Eric Steig; Gavin Schmidt (4 December 2004). "Antarctic cooling, global warming?". RealClimate. Retrieved 2008-01-20.
  35. ^ Riihelä, Aku; Bright, Ryan M.; Anttila, Kati (28 October 2021). "Recent strengthening of snow and ice albedo feedback driven by Antarctic sea-ice loss". Nature Geoscience. 14 (11): 832–836. Bibcode:2021NatGe..14..832R. doi:10.1038/s41561-021-00841-x. hdl:11250/2830682.
  36. ^ a b c d Wunderling, Nico; Willeit, Matteo; Donges, Jonathan F.; Winkelmann, Ricarda (27 October 2020). "Global warming due to loss of large ice masses and Arctic summer sea ice". Nature Communications. 10 (1): 5177. Bibcode:2020NatCo..11.5177W. doi:10.1038/s41467-020-18934-3. PMC 7591863. PMID 33110092.
  37. ^ Sledd, Anne; L’Ecuyer, Tristan S. (2 December 2021). "A Cloudier Picture of Ice-Albedo Feedback in CMIP6 Models". Frontiers in Earth Science. 9: 1067. Bibcode:2021FrEaS...9.1067S. doi:10.3389/feart.2021.769844.
  38. ^ McKim, Brett; Bony, Sandrine; Dufresne, Jean-Louis (1 April 2024). "Weak anvil cloud area feedback suggested by physical and observational constraints". Nature Geoscience. doi:10.1038/s41561-024-01414-4.
  39. ^ Stephens, Graeme L. (2005-01-01). "Cloud Feedbacks in the Climate System: A Critical Review". Journal of Climate. 18 (2): 237–273. Bibcode:2005JCli...18..237S. CiteSeerX 10.1.1.130.1415. doi:10.1175/JCLI-3243.1. ISSN 0894-8755. S2CID 16122908.
  40. ^ . American Geophysical Union. 18 February 2021. Archived from the original on 27 March 2023. Retrieved 18 December 2023.
  41. ^ McCoy, Daniel T.; Field, Paul; Gordon, Hamish; Elsaesser, Gregory S.; Grosvenor, Daniel P. (6 April 2020). "Untangling causality in midlatitude aerosol–cloud adjustments". Atmospheric Chemistry and Physics. 20 (7): 4085–4103. Bibcode:2020ACP....20.4085M. doi:10.5194/acp-20-4085-2020.
  42. ^ Zelinka MD, Myers TA, McCoy DT, Po-Chedley S, Caldwell PM, Ceppi P, Klein SA, Taylor KE (2020). "Causes of Higher Climate Sensitivity in CMIP6 Models". Geophysical Research Letters. 47 (1): e2019GL085782. Bibcode:2020GeoRL..4785782Z. doi:10.1029/2019GL085782. hdl:10044/1/76038. ISSN 1944-8007.
  43. ^ "Increased warming in latest generation of climate models likely caused by clouds: New representations of clouds are making models more sensitive to carbon dioxide". Science Daily. 24 June 2020. from the original on 26 June 2020. Retrieved 26 June 2020.
  44. ^ Zhu, Jiang; Poulsen, Christopher J.; Otto-Bliesner, Bette L. (30 April 2020). "High climate sensitivity in CMIP6 model not supported by paleoclimate". Nature Climate Change. 10 (5): 378–379. Bibcode:2020NatCC..10..378Z. doi:10.1038/s41558-020-0764-6.
  45. ^ Erickson, Jim (30 April 2020). "Some of the latest climate models provide unrealistically high projections of future warming". Phys.org. Retrieved 12 May 2024. But the CESM2 model projected Early Eocene land temperatures exceeding 55 degrees Celsius (131 F) in the tropics, which is much higher than the temperature tolerance of plant photosynthesis—conflicting with the fossil evidence. On average across the globe, the model projected surface temperatures at least 6 C (11 F) warmer than estimates based on geological evidence.
  46. ^ Voosen, Paul (4 May 2022). "Use of 'too hot' climate models exaggerates impacts of global warming". Science Magazine. Retrieved 12 May 2024. But for the 2019 CMIP6 round, 10 out of 55 of the models had sensitivities higher than 5°C—a stark departure. The results were also at odds with a landmark study that eschewed global modeling results and instead relied on paleoclimate and observational records to identify Earth's climate sensitivity. It found that the value sits somewhere between 2.6°C and 3.9°C.
  47. ^ Joos, F.; Roth, R.; Fuglestvedt, J.S.; Peters, G.P.; Enting, I.G.; et al. (8 March 2013). "Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics: A multi-model analysis". Atmospheric Chemistry and Physics. 13 (5): 2793–2825   Material was copied from this source, which is available under a Creative Commons Attribution 3.0 Unported License. doi:10.5194/acpd-12-19799-2012. hdl:20.500.11850/58316.
  48. ^ Gregory, J.M.; Jones, C.D.; Cadule, P.; Friedlingstein, P. (2009). "Quantifying Carbon Cycle Feedbacks". Journal of Climate. 22 (19): 5232–5250. Bibcode:2009JCli...22.5232G. doi:10.1175/2009JCLI2949.1.
  49. ^ Meehl, G.A.; et al., , Sec 10.5.4.6 Synthesis of Projected Global Temperature at Year 2100, archived from the original on 2018-11-04, retrieved 2013-02-01, in: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  50. ^ Solomon; et al., , TS.6.4.3 Global Projections: Key uncertainties, archived from the original on 2018-11-03, retrieved 2013-02-01, in in: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
  51. ^ Cook, K. H.; Vizy, E. K. (2008). "Effects of Twenty-First-Century Climate Change on the Amazon Rain Forest". Journal of Climate. 21 (3): 542–821. Bibcode:2008JCli...21..542C. doi:10.1175/2007JCLI1838.1.
  52. ^ Nobre, Carlos; Lovejoy, Thomas E. (2018-02-01). "Amazon Tipping Point". Science Advances. 4 (2): eaat2340. Bibcode:2018SciA....4.2340L. doi:10.1126/sciadv.aat2340. ISSN 2375-2548. PMC 5821491. PMID 29492460.
  53. ^ Enquist, B. J.; Enquist, C. A. F. (2011). "Long-term change within a Neotropical forest: assessing differential functional and floristic responses to disturbance and drought". Global Change Biology. 17 (3): 1408. Bibcode:2011GCBio..17.1408E. doi:10.1111/j.1365-2486.2010.02326.x. S2CID 83489971.
  54. ^ Rammig, Anja; Wang-Erlandsson, Lan; Staal, Arie; Sampaio, Gilvan; Montade, Vincent; Hirota, Marina; Barbosa, Henrique M. J.; Schleussner, Carl-Friedrich; Zemp, Delphine Clara (2017-03-13). "Self-amplified Amazon forest loss due to vegetation-atmosphere feedbacks". Nature Communications. 8: 14681. Bibcode:2017NatCo...814681Z. doi:10.1038/ncomms14681. ISSN 2041-1723. PMC 5355804. PMID 28287104.
  55. ^ . David Suzuki Foundation. Archived from the original on 2007-12-08. Retrieved 2007-12-02.
  56. ^ . United States Environmental Protection Agency. 2000-01-07. Archived from the original on 2007-02-19. Retrieved 2007-12-02.
  57. ^ . Woods Hole Research Center. Archived from the original on 2007-10-25. Retrieved 2007-12-02.
  58. ^ "Science: Global warming is killing U.S. trees, a dangerous carbon-cycle feedback". climateprogress.org.
  59. ^ IPCC (2021). "Summary for Policymakers" (PDF). The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. p. 40. ISBN 978-92-9169-158-6.
  60. ^ a b c d Canadell, J.G.; Monteiro, P.M.S.; Costa, M.H.; Cotrim da Cunha, L.; Cox, P. M.; Eliseev, A.V.; Henson, S.; Ishii, M.; Jaccard, S.; Koven, C.; Lohila, A.; Patra, P. K.; Piao, S.; Rogelj, J.; Syampungani, S.; Zaehle, S.; Zickfeld, K. (2021). Masson-Delmotte, V.; Zhai, P.; Pirani, A.; Connors, S. L.; Péan, C.; Berger, S.; Caud, N.; Chen, Y.; Goldfarb, L. (eds.). Chapter 5: Global Carbon and other Biogeochemical Cycles and Feedbacks (PDF). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (Report). Cambridge University Press, Cambridge, UK and New York, NY, US. pp. 673–816. doi:10.1017/9781009157896.007.
  61. ^ Archer, David (2005). "Fate of fossil fuel CO2 in geologic time" (PDF). Journal of Geophysical Research. 110 (C9): C09S05. Bibcode:2005JGRC..110.9S05A. CiteSeerX 10.1.1.364.2117. doi:10.1029/2004JC002625.
  62. ^ Kang, Sarah M.; Ceppi, Paulo; Yu, Yue; Kang, In-Sik (24 August 2023). "Recent global climate feedback controlled by Southern Ocean cooling". Nature Geoscience. 16 (9): 775–780. Bibcode:2023NatGe..16..775K. doi:10.1038/s41561-023-01256-6. Net climate feedback is negative as the climate system acts to counteract the forcing; otherwise, the system would be unstable.
  63. ^ Sigurdur R. Gislason; Eric H. Oelkers; Eydis S. Eiriksdottir; Marin I. Kardjilov; Gudrun Gisladottir; Bergur Sigfusson; Arni Snorrason; Sverrir Elefsen; Jorunn Hardardottir; Peter Torssander; Niels Oskarsson (2009). "Direct evidence of the feedback between climate and weathering". Earth and Planetary Science Letters. 277 (1–2): 213–222. Bibcode:2009E&PSL.277..213G. doi:10.1016/j.epsl.2008.10.018.
  64. ^ "The Carbon Cycle - Earth Science - Visionlearning". Visionlearning.
  65. ^ . princeton.edu. Archived from the original on 2010-07-04. Retrieved 2010-08-09.
  66. ^ Repo, M. E.; Susiluoto, S.; Lind, S. E.; Jokinen, S.; Elsakov, V.; Biasi, C.; Virtanen, T.; Martikainen, P. J. (2009). "Large N2O emissions from cryoturbated peat soil in tundra". Nature Geoscience. 2 (3): 189. Bibcode:2009NatGe...2..189R. doi:10.1038/ngeo434.
  67. ^ Caitlin McDermott-Murphy (2019). "No laughing matter". The Harvard Gazette. Retrieved 22 July 2019.
  68. ^ Simó, R.; Dachs, J. (2002). "Global ocean emission of dimethylsulfide predicted from biogeophysical data". Global Biogeochemical Cycles. 16 (4): 1018. Bibcode:2002GBioC..16.1018S. doi:10.1029/2001GB001829. S2CID 129266687.
  69. ^ Dean, Joshua F.; Middelburg, Jack J.; Röckmann, Thomas; Aerts, Rien; Blauw, Luke G.; Egger, Matthias; Jetten, Mike S. M.; de Jong, Anniek E. E.; Meisel, Ove H. (2018). "Methane Feedbacks to the Global Climate System in a Warmer World". Reviews of Geophysics. 56 (1): 207–250. Bibcode:2018RvGeo..56..207D. doi:10.1002/2017RG000559. hdl:1874/366386.
  70. ^ Zhu, Yizhu; Purdy, Kevin J.; Eyice, Özge; Shen, Lidong; Harpenslager, Sarah F.; Yvon-Durocher, Gabriel; Dumbrell, Alex J.; Trimmer, Mark (2020-06-29). "Disproportionate increase in freshwater methane emissions induced by experimental warming". Nature Climate Change. 10 (7): 685–690. Bibcode:2020NatCC..10..685Z. doi:10.1038/s41558-020-0824-y. ISSN 1758-6798. S2CID 220261158.
  71. ^ University of Virginia (March 25, 2011). "Russian boreal forests undergoing vegetation change, study shows". ScienceDaily.com. Retrieved March 9, 2018.
  72. ^ a b c Schuur, Edward A.G.; Abbott, Benjamin W.; Commane, Roisin; Ernakovich, Jessica; Euskirchen, Eugenie; Hugelius, Gustaf; Grosse, Guido; Jones, Miriam; Koven, Charlie; Leshyk, Victor; Lawrence, David; Loranty, Michael M.; Mauritz, Marguerite; Olefeldt, David; Natali, Susan; Rodenhizer, Heidi; Salmon, Verity; Schädel, Christina; Strauss, Jens; Treat, Claire; Turetsky, Merritt (2022). "Permafrost and Climate Change: Carbon Cycle Feedbacks From the Warming Arctic". Annual Review of Environment and Resources. 47: 343–371. doi:10.1146/annurev-environ-012220-011847. S2CID 252986002.
  73. ^ a b Fox-Kemper, B., H.T. Hewitt, C. Xiao, G. Aðalgeirsdóttir, S.S. Drijfhout, T.L. Edwards, N.R. Golledge, M. Hemer, R.E. Kopp, G.  Krinner, A. Mix, D. Notz, S. Nowicki, I.S. Nurhati, L. Ruiz, J.-B. Sallée, A.B.A. Slangen, and Y. Yu, 2021: Chapter 9: Ocean, Cryosphere and Sea Level Change. In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S.L.  Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, pp. 1211–1362, doi:10.1017/9781009157896.011.
  74. ^ Schellnhuber, Hans Joachim; Winkelmann, Ricarda; Scheffer, Marten; Lade, Steven J.; Fetzer, Ingo; Donges, Jonathan F.; Crucifix, Michel; Cornell, Sarah E.; Barnosky, Anthony D. (2018). "Trajectories of the Earth System in the Anthropocene". Proceedings of the National Academy of Sciences. 115 (33): 8252–8259. Bibcode:2018PNAS..115.8252S. doi:10.1073/pnas.1810141115. ISSN 0027-8424. PMC 6099852. PMID 30082409.
  75. ^ Armstrong McKay, David; Abrams, Jesse; Winkelmann, Ricarda; Sakschewski, Boris; Loriani, Sina; Fetzer, Ingo; Cornell, Sarah; Rockström, Johan; Staal, Arie; Lenton, Timothy (9 September 2022). "Exceeding 1.5°C global warming could trigger multiple climate tipping points". Science. 377 (6611): eabn7950. doi:10.1126/science.abn7950. hdl:10871/131584. ISSN 0036-8075. PMID 36074831. S2CID 252161375.
  76. ^ Armstrong McKay, David (9 September 2022). "Exceeding 1.5°C global warming could trigger multiple climate tipping points – paper explainer". climatetippingpoints.info. Retrieved 2 October 2022.
  77. ^ a b c Armstrong McKay, David; Abrams, Jesse; Winkelmann, Ricarda; Sakschewski, Boris; Loriani, Sina; Fetzer, Ingo; Cornell, Sarah; Rockström, Johan; Staal, Arie; Lenton, Timothy (9 September 2022). "Exceeding 1.5°C global warming could trigger multiple climate tipping points". Science. 377 (6611): eabn7950. doi:10.1126/science.abn7950. hdl:10871/131584. ISSN 0036-8075. PMID 36074831. S2CID 252161375.
  78. ^ a b c Armstrong McKay, David (9 September 2022). "Exceeding 1.5°C global warming could trigger multiple climate tipping points – paper explainer". climatetippingpoints.info. Retrieved 2 October 2022.
  79. ^ "Ice Sheets". National Science Foundation.
  80. ^ "About the Greenland Ice Sheet". National Snow and Ice Data Center. 21 November 2012.
  81. ^ , U.S. Geological Survey, 31 August 2009, archived from the original on June 14, 2012, retrieved 28 December 2014
  82. ^ Roald Hoffmann (2006). "Old Gas, New Gas". American Scientist. 94 (1): 16–18. doi:10.1511/2006.57.3476.
  83. ^ Preuss, Paul (17 September 2008). "IMPACTS: On the Threshold of Abrupt Climate Changes". Lawrence Berkeley National Laboratory.
  84. ^ Atsushi Obata; Kiyotaka Shibata (June 20, 2012). "Damage of Land Biosphere due to Intense Warming by 1000-Fold Rapid Increase in Atmospheric Methane: Estimation with a Climate–Carbon Cycle Model". J. Climate. 25 (24): 8524–8541. Bibcode:2012JCli...25.8524O. doi:10.1175/JCLI-D-11-00533.1.
  85. ^ Wallmann; et al. (2018). "Gas hydrate dissociation off Svalbard induced by isostatic rebound rather than global warming". Nature Communications. 9 (1): 83. Bibcode:2018NatCo...9...83W. doi:10.1038/s41467-017-02550-9. PMC 5758787. PMID 29311564.
  86. ^ Mau, S.; Römer, M.; Torres, M. E.; Bussmann, I.; Pape, T.; Damm, E.; Geprägs, P.; Wintersteller, P.; Hsu, C.-W.; Loher, M.; Bohrmann, G. (23 February 2017). "Widespread methane seepage along the continental margin off Svalbard - from Bjørnøya to Kongsfjorden". Scientific Reports. 7: 42997. Bibcode:2017NatSR...742997M. doi:10.1038/srep42997. PMC 5322355. PMID 28230189. S2CID 23568012.
  87. ^ Schellnhuber, Hans Joachim; Winkelmann, Ricarda; Scheffer, Marten; Lade, Steven J.; Fetzer, Ingo; Donges, Jonathan F.; Crucifix, Michel; Cornell, Sarah E.; Barnosky, Anthony D. (2018). "Trajectories of the Earth System in the Anthropocene". Proceedings of the National Academy of Sciences. 115 (33): 8252–8259. Bibcode:2018PNAS..115.8252S. doi:10.1073/pnas.1810141115. ISSN 0027-8424. PMC 6099852. PMID 30082409.
  88. ^ Hansen, James; Sato, Makiko; Kharecha, Pushker; von Schuckmann, Karina (January 2012). . NASA. Archived from the original on 2012-02-04.
  89. ^ Meehl, G.A., T.F. Stocker, W.D. Collins, P. Friedlingstein, A.T. Gaye, J.M. Gregory, A. Kitoh, R. Knutti, J.M. Murphy, A. Noda, S.C.B. Raper, I.G. Watterson, A.J. Weaver and Z.-C. Zhao, 2007: Chapter 10: Global Climate Projections. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA. (Section 10.4.1 Carbon Cycle/Vegetation Feedbacks)

External links edit

climate, change, feedbacks, climate, feedback, redirects, here, fact, checking, website, climate, feedback, processes, climate, system, which, amplify, diminish, effect, forces, that, initially, cause, warming, positive, feedbacks, enhance, global, warming, wh. Climate feedback redirects here For the fact checking website see Climate Feedback Climate change feedbacks are processes in the climate system which amplify or diminish the effect of forces that initially cause the warming Positive feedbacks enhance global warming while negative feedbacks weaken it 3 2233 Feedbacks are important in the understanding of climate change because they play an important part in determining the sensitivity of the climate to warming forces Climate forcings and feedbacks together determine how much and how fast the climate changes 4 Examples of some effects of global warming that can amplify positive feedbacks or reduce negative feedbacks global warming 1 2 96 The main positive feedback is that warming increases the amount of atmospheric water vapor which is a powerful greenhouse gas 5 Another positive feedback is the loss of reflective snow and ice cover Positive carbon cycle feedbacks occur when organic matter burns or decays releasing CO2 back into the atmosphere Loss of organic matter can happen through rainforest drying forest fires and desertification Methane can also be released into the atmosphere by thawing permafrost The main cooling effect is called the Planck response which comes from the Stefan Boltzmann law It states that the total energy radiated per unit surface area per unit time is directly proportional to the fourth power of the black body s temperature The carbon cycle acts a negative feedback as it absorbs more than half of CO2 emissions every year Atmospheric CO2 gets absorbed into rocks and into plants It also gets dissolved in the ocean where it leads to ocean acidification There are several types feedbacks physical feedbacks biological feedbacks and carbon cycle feedbacks Calculations can give different results depending on the time frame and location that is used Carbon cycle feedbacks are negative which means that as atmospheric concentrations increase carbon uptake also increases However higher temperatures and saturation of carbon sinks decrease that negative feedback effect Overall feedbacks are expected to trend in a positive direction for the near future though the Planck response will become increasingly negative as the planet warms 6 94 95 There is no threat of a runaway greenhouse effect from current climate change Contents 1 Definition and terminology 2 Physical feedbacks 2 1 Planck response negative 2 2 Water vapor feedback positive 2 3 Lapse rate negative 2 4 Surface albedo feedback positive 2 5 Cloud feedback positive 3 Biogeophysical and biogeochemical feedbacks 3 1 CO2 feedbacks mostly negative 3 1 1 Role of oceans 3 1 2 Chemical weathering 3 1 3 Primary production through photosynthesis 3 2 Non CO2 unclear 3 3 Permafrost positive 4 Long term feedbacks 4 1 Ice sheets 4 2 Methane hydrates 5 Mathematical formulation of global energy imbalance 6 Implications for climate policy 7 See also 8 References 9 External linksDefinition and terminology editSee also Climate system positive feedback and negative feedback In climate science a feedback that amplifies an initial warming is called a positive feedback 1 On the other hand a feedback that reduces an initial warming is called a negative feedback 1 Naming a feedback positive or negative does not imply that the feedback is good or bad 7 A 2021 IPCC glossary defines a positive feedback as one in which an initial perturbation is enhanced and a negative feedback as one in which the initial perturbation is weakened by the changes it causes 8 2222 The glossary explains that the initial perturbation may be externally forced or may arise through the climate system s internal variability 8 2222 Here external forcing refers to a forcing agent outside the climate system causing a change in the climate system 8 2229 that may push the climate system in the direction of warming or cooling 9 External forcings may be human caused for example greenhouse gas emissions or land use change or natural for example volcanic eruptions 8 2229 Physical feedbacks editPlanck response negative edit Planck response is the most fundamental feedback in the climate system 10 19 As the temperature of a black body increases the emission of infrared radiation increases with the fourth power of its absolute temperature according to the Stefan Boltzmann law This increases the amount of outgoing radiation back into space as the Earth warms 11 It is a strong stabilizing response and has sometimes been called the no feedback response because it is an intensive property of a thermodynamic system when considered to be purely a function of temperature 12 Although Earth has an effective emissivity less than unity the ideal black body radiation emerges as a separable quantity when investigating perturbations to the planet s outgoing radiation The Planck feedback or Planck response is the comparable radiative response obtained from analysis of practical observations or global climate models GCMs Its expected strength has been most simply estimated from the derivative of the Stefan Boltzmann equation as 4sT3 3 8 W m2 K watts per square meter per degree of warming 11 12 Accounting from GCM applications has sometimes yielded a reduced strength as caused by extensive properties of the stratosphere and similar residual artifacts subsequently identified as being absent from such models 12 Most extensive grey body properties of Earth that influence the outgoing radiation are usually postulated to be encompassed by the other GCM feedback components and to be distributed in accordance with a particular forcing feedback formulation of the climate system 13 Ideally the Planck response strength obtained from GCMs indirect measurements and black body estimates will further converge as analysis methods continue to mature Water vapor feedback positive edit nbsp Atmospheric gases only absorb some wavelengths of energy but are transparent to others The absorption patterns of water vapor blue peaks and carbon dioxide pink peaks overlap in some wavelengths 14 According to Clausius Clapeyron relation saturation vapor pressure is higher in a warmer atmosphere and so the absolute amount of water vapor will increase as the atmosphere warms It is sometimes also called the specific humidity feedback 15 969 because the relative humidity stays nearly constant or even decreases slightly due to the warmer air 16 Since water vapor is a greenhouse gas the increase in water vapor content makes the atmosphere warm further which allows the atmosphere to hold still more water vapor Thus a positive feedback loop is formed which continues until the negative feedbacks bring the system to equilibrium 15 969 Increases in atmospheric water vapor have been detected from satellites and calculations based on these observations place this feedback strength at 1 85 0 32 m2 K This is very similar to model estimates which are at 1 77 0 20 m2 K 15 969 Either value effectively doubles the warming that would otherwise occur from CO2 increases alone 17 Like with the other physical feedbacks this is already accounted for in the warming projections under climate change scenarios Lapse rate negative edit Main article Lapse rate The lapse rate is the rate at which an atmospheric variable normally temperature in Earth s atmosphere falls with altitude 18 19 It is therefore a quantification of temperature related to radiation as a function of altitude and is not a separate phenomenon in this context The lapse rate feedback is generally a negative feedback However it is in fact a positive feedback in polar regions where it strongly contributed to polar amplified warming one of the biggest consequences of climate change 20 This is because in regions with strong inversions such as the polar regions the lapse rate feedback can be positive because the surface warms faster than higher altitudes resulting in inefficient longwave cooling 21 22 23 The atmosphere s temperature decreases with height in the troposphere Since emission of infrared radiation varies with temperature longwave radiation escaping to space from the relatively cold upper atmosphere is less than that emitted toward the ground from the lower atmosphere Thus the strength of the greenhouse effect depends on the atmosphere s rate of temperature decrease with height Both theory and climate models indicate that global warming will reduce the rate of temperature decrease with height producing a negative lapse rate feedback that weakens the greenhouse effect 21 Measurements of the rate of temperature change with height are very sensitive to small errors in observations making it difficult to establish whether the models agree with observations 10 25 24 Surface albedo feedback positive edit Main articles Arctic sea ice decline and Ice albedo feedback nbsp Average decadal extent and area of the Arctic Ocean sea ice since the start of satellite observations nbsp Annual trend in the Arctic sea ice extent and area for the 2011 2022 time period Albedo is the measure of how strongly the planetary surface can reflect solar radiation which prevents its absorption and thus has a cooling effect Brighter and more reflective surfaces have a high albedo and darker surfaces have a low albedo so they heat up more The most reflective surfaces are ice and snow so surface albedo changes are overwhelmingly associated with what is known as the ice albedo feedback A minority of the effect is also associated with changes in physical oceanography soil moisture and vegetation cover 15 970 The presence of ice cover and sea ice makes the North Pole and the South Pole colder than they would have been without it 25 During glacial periods additional ice increases the reflectivity which reduces the absorption of solar radiation resulting in more cooling through a continuing cycle 26 But when warming occurs and the ice melts darker land or open water takes its place and this causes more warming which in turn causes more melting and this cycle continues until an equilibrium is found 27 28 Consequently recent Arctic sea ice decline is one of the primary factors behind the Arctic warming nearly four times faster than the global average since 1979 the year when continuous satellite readings of the Arctic sea ice began in a phenomenon known as Arctic amplification 29 30 Conversely the high stability of ice cover in Antarctica where the East Antarctic ice sheet rises nearly 4 km above the sea level means that it has experienced very little net warming over the past seven decades 31 32 33 34 nbsp Aerial photograph showing a section of sea ice The lighter blue areas are melt ponds and the darkest areas are open water both have a lower albedo than the white sea ice so their presence increases local and global temperatures which helps to spur more melting As of 2021 the total surface feedback strength is estimated at 0 35 0 10 to 0 60 W m2 K 2 95 On its own Arctic sea ice decline between 1979 and 2011 is estimated to have been responsible for 0 21 W m2 of radiative forcing which is equivalent to a quarter of radiative forcing from CO2 increases over the same period 28 The combined change in all sea ice cover between 1992 and 2018 is equivalent to 10 of all the anthropogenic greenhouse gas emissions 35 When CMIP5 models estimate a total loss of Arctic sea ice cover from June to September a plausible outcome under higher levels of warming it increases the global temperatures by 0 19 C 0 34 F with a range of 0 16 0 21 C while the regional temperatures would increase by over 1 5 C 2 7 F This estimate includes the second order effects such the impact from ice loss on lapse rate feedback the changes in water vapor concentrations and regional cloud feedbacks 36 All of these calculations are already part of every CMIP5 and CMIP6 model so they would not represent a source of additional warming on top of their existing projections 37 Cloud feedback positive edit nbsp Details of how clouds interact with shortwave and longwave radiation at different atmospheric heights 38 Main article Cloud feedback Seen from below clouds emit infrared radiation back to the surface which has a warming effect seen from above clouds reflect sunlight and emit infrared radiation to space leading to a cooling effect Low clouds are bright and very reflective so they lead to strong cooling while high clouds are too thin and transparent to effectively reflect sunlight so they cause overall warming 39 As a whole clouds have a substantial cooling effect 15 1022 However climate change is expected to alter the distribution of cloud types in a way that reduces their cooling and thus accelerates overall warming and so changes to clouds represent a positive feedback 2 95 As of 2021 cloud feedback strength is estimated at 0 42 0 10 to 0 94 W m2 K 2 95 This is the largest confidence interval of any climate feedback and it occurs because some cloud types most of which are present over the oceans have been very difficult to observe so climate models don t have as much data to go on with when they attempt to simulate their behaviour 15 975 Additionally clouds have been strongly affected by aerosol particles mainly from the unfiltered burning of sulfur rich fossil fuels such as coal and bunker fuel Any estimate of cloud feedback needs to disentangle the effects of so called global dimming caused by these particles as well 40 41 Thus estimates of cloud feedback differ sharply between climate models Models with the strongest cloud feedback have the highest climate sensitivity which means that they simulate much stronger warming in response to a doubling of CO2 or equivalent greenhouse gas concentrations than the rest 42 43 Around 2020 a small fraction of models was found to simulate so much warming as the result that they had contradicted paleoclimate evidence from fossils 44 45 and their output was effectively excluded from the climate sensitivity estimate of the IPCC Sixth Assessment Report 2 93 46 Biogeophysical and biogeochemical feedbacks editCO2 feedbacks mostly negative edit See also Carbon cycle and Soil carbon feedback nbsp The impulse response following a 100 GtC injection of CO2 into Earth s atmosphere 47 The majority of excess carbon is removed by ocean and land sinks in less than a few centuries while a substantial portion persists There are positive and negative climate feedbacks from Earth s carbon cycle Negative feedbacks are large and play a great role in the studies of climate inertia or of dynamic time dependent climate change Because they are considered relatively insensitive to temperature changes they are sometimes considered separately or disregarded in studies which aim to quantify climate sensitivity 13 48 Global warming projections have included carbon cycle feedbacks since the IPCC Fourth Assessment Report AR4 in 2007 49 While the scientific understanding of these feedbacks was limited at the time it had improved since then 50 These positive feedbacks include an increase in wildfire frequency and severity substantial losses from tropical rainforests due to fires and drying and tree losses elsewhere 51 52 53 54 55 56 57 58 Altogether carbon sinkss in the land and ocean absorb around half of the current emissions Their future absorption is dynamic In the future if the emissions decrease the fraction they absorb will increase and they will absorb up to three quarters of the remaining emissions yet the raw amount absorbed will decrease from the present On the contrary if the emissions will increase then the raw amount absorbed will increase from now yet the fraction could decline to one third by the end of the 21st century 59 22 If the emissions remain very high after the 21st century carbon sinks would eventually be completely overwhelmed with the ocean sink diminished further and land ecosystems outright becoming a net source 60 677 Hypothetically very strong carbon dioxide removal could also result in land and ocean carbon sinks becoming net sources for several decades 60 677 Role of oceans edit Following Le Chatelier s principle the chemical equilibrium of the Earth s carbon cycle will shift in response to anthropogenic CO2 emissions The primary driver of this is the ocean which absorbs anthropogenic CO2 via the so called solubility pump At present this accounts for only about one third of the current emissions but ultimately most 75 of the CO2 emitted by human activities will dissolve in the ocean over a period of centuries A better approximation of the lifetime of fossil fuel CO2 for public discussion might be 300 years plus 25 that lasts forever 61 However the rate at which the ocean will take it up in the future is less certain and will be affected by stratification induced by warming and potentially changes in the ocean s thermohaline circulation It is believed that the single largest factor in determining the total strength of the global carbon sink is the state of the Southern Ocean particularly of the Southern Ocean overturning circulation 62 Chemical weathering edit Chemical weathering over the geological long term acts to remove CO2 from the atmosphere With current global warming weathering is increasing demonstrating significant feedbacks between climate and Earth surface 63 Biosequestration also captures and stores CO2 by biological processes The formation of shells by organisms in the ocean over a very long time removes CO2 from the oceans 64 The complete conversion of CO2 to limestone takes thousands to hundreds of thousands of years 65 Primary production through photosynthesis edit Net primary productivity of plants and phytoplankton grows as the increased CO2 fuels their photosynthesis in what is known as the CO2 fertilization effect Additionally plants require less water as the atmospheric CO2 concentrations increase because they lose less moisture to evapotranspiration through open stomata the pores in leaves through which CO2 is absorbed However increased droughts in certain regions can still limit plant growth and the warming beyond optimum conditions has a consistently negative impact Thus estimates for the 21st century show that plants would become more a lot more abundant at high latitudes near the poles but grow much less near the tropics there is only medium confidence that tropical ecosystems would gain more carbon relative to now However there is high condidence that the total land cabrbon sink will remain positive 60 677 Non CO2 unclear edit nbsp Methane climate feedbacks in natural ecosystems Release of gases of biological origin would be affected by global warming and this includes climate relevant gases such as methane nitrous oxide or dimethyl sulfide 66 67 Others such as dimethyl sulfide released from oceans have indirect effects 68 Emissions of methane from land particularly from wetlands and of nitrous oxide from land and oceans are a known positive feedback 69 I e long term warming changes the balance in the methane related microbial community within freshwater ecosystems so they produce more methane while proportionately less is oxidised to carbon dioxide 70 There would also be biogeophysical changes which affect the albedo For instance larch in some sub arctic forests are being replaced by spruce trees This has a limited contribution to warming because larch trees shed their needles in winter and so they end up more extensively covered in snow than the spruce trees which retain their dark needles all year 71 On the other hand changes in emissions of compounds such sea salt dimethyl sulphide dust ozone and a range of biogenic volatile organic compounds are expected to be negative overall As of 2021 all of these non CO2 feedbacks are believed to practically cancel each other out but there is only low confidence and the combined feedbacks could be up to 0 25 W m2 K in either direction 15 967 Permafrost positive edit Permafrost is not included in the estimates above as it is difficult to model and the estimates of its role is strongly time dependent as its carbon pools are depleted at different rates under different warming levels 15 967 Instead it is treated as a separate process that will contribute to near term warming with the best estimates shown below This section is an excerpt from Permafrost Impact on global temperatures edit nbsp Nine probable scenarios of greenhouse gas emissions from permafrost thaw during the 21st century which show a limited moderate and intense CO2 and CH4 emission response to low medium and high emission Representative Concentration Pathways The vertical bar uses emissions of selected large countries as a comparison the right hand side of the scale shows their cumulative emissions since the start of the Industrial Revolution while the left hand side shows each country s cumulative emissions for the rest of the 21st century if they remained unchanged from their 2019 levels 72 Altogether it is expected that cumulative greenhouse gas emissions from permafrost thaw will be smaller than the cumulative anthropogenic emissions yet still substantial on a global scale with some experts comparing them to emissions caused by deforestation 72 The IPCC Sixth Assessment Report estimates that carbon dioxide and methane released from permafrost could amount to the equivalent of 14 175 billion tonnes of carbon dioxide per 1 C 1 8 F of warming 73 1237 For comparison by 2019 annual anthropogenic emissions of carbon dioxide alone stood around 40 billion tonnes 73 1237 A major review published in the year 2022 concluded that if the goal of preventing 2 C 3 6 F of warming was realized then the average annual permafrost emissions throughout the 21st century would be equivalent to the year 2019 annual emissions of Russia Under RCP4 5 a scenario considered close to the current trajectory and where the warming stays slightly below 3 C 5 4 F annual permafrost emissions would be comparable to year 2019 emissions of Western Europe or the United States while under the scenario of high global warming and worst case permafrost feedback response they would approach year 2019 emissions of China 72 Fewer studies have attempted to describe the impact directly in terms of warming A 2018 paper estimated that if global warming was limited to 2 C 3 6 F gradual permafrost thaw would add around 0 09 C 0 16 F to global temperatures by 2100 74 while a 2022 review concluded that every 1 C 1 8 F of global warming would cause 0 04 C 0 072 F and 0 11 C 0 20 F from abrupt thaw by the year 2100 and 2300 Around 4 C 7 2 F of global warming abrupt around 50 years and widespread collapse of permafrost areas could occur resulting in an additional warming of 0 2 0 4 C 0 36 0 72 F 75 76 Long term feedbacks editIce sheets edit nbsp Global warming caused by the potential disappearance of the four notable ice masses and their albedo assuming an average warming level of 1 5 C 2 7 F throughout 36 While mountain glaciers and summer Arctic sea ice can be lost in a century or two total ice sheet loss requires multiple millennia 77 78 The Earth s two remaining ice sheets the Greenland ice sheet and the Antarctic ice sheet cover the world s largest island and an entire continent and both of them are also around 2 km 1 mi thick on average 79 80 Due to this immense size their response to warming is measured in thousands of years and is believed to occur in two stages 15 977 The first stage would be the effect from ice melt on thermohaline circulation Because meltwater is completely fresh it makes it harder for the surface layer of water to sink beneath the lower layers and this disrupts the exchange of oxygen nutrients and heat between the layers This would act as a negative feedback sometimes estimated as a cooling effect of 0 2 C 0 36 F over a 1000 year average though the research on these timescales has been limited 15 977 An even longer term effect is the ice albedo feedback from ice sheets reaching their ultimate state in response to whatever the long term temperature change would be Unless the warming is reversed entirely this feedback would be positive 15 977 The total loss of the Greenland Ice Sheet is estimated to add0 13 C 0 23 F to global warming with a range of 0 04 0 06 C while the loss of the West Antarctic Ice Sheet adds 0 05 C 0 090 F 0 04 0 06 C and East Antarctic ice sheet 0 6 C 1 1 F 36 Total loss of the Greenland ice sheet would also increase regional temperatures in the Arctic by between 0 5 C 0 90 F and 3 C 5 4 F while the regional temperature in Antarctica is likely to go up by 1 C 1 8 F after the loss of the West Antarctic ice sheet and 2 C 3 6 F after the loss of the East Antarctic ice sheet 77 78 These estimates assume that global warming stays at an average of 1 5 C 2 7 F Because of the logarithmic growth of the greenhouse effect 2 80 the impact from ice loss would be larger at the slightly lower warming level of 2020s but it would become lower if the warming proceeds towards higher levels 36 While Greenland and the West Antartic ice sheet are likely committed to melting entirely if the long term warming is around 1 5 C 2 7 F the East Antarctic ice sheet would not be at risk of complete disappearance until the very high global warming of 5 10 C 9 0 18 0 F 77 78 Methane hydrates edit See also Clathrate gun hypothesis Methane hydrates or methane clathrates are frozen compounds where a large amount of methane is trapped within a crystal structure of water forming a solid similar to ice 81 On Earth they generally lie beneath sediments on the ocean floors approximately 1 100 m 3 600 ft below the sea level 82 Around 2008 there was a serious concern that a large amount of hydrates from relatively shallow deposits in the Arctic particularly around the East Siberian Arctic Shelf could quickly break down and release large amounts of methane potentially leading to 6 C 11 F within 80 years 83 84 Current research shows that hydrates react very slowly to warming and that it s very difficult for methane to reach the atmosphere after dissociation on the seafloor 85 86 Thus no detectable impact on the global temperatures is expected to occur in this century due to methane hydrates 60 677 Some research suggests hydrate dissociation can still cause a warming of 0 4 0 5 C 0 72 0 90 F over several millennia 87 Mathematical formulation of global energy imbalance editEarth is a thermodynamic system for which long term temperature changes follow the global energy imbalance EEI stands for Earth s energy imbalance E E I A S R O L R displaystyle EEI equiv ASR OLR nbsp where ASR is the absorbed solar radiation and OLR is the outgoing longwave radiation at top of atmosphere When EEI is positive the system is warming when it is negative they system is cooling and when it is approximately zero then there is neither warming or cooling The ASR and OLR terms in this expression encompass many temperature dependent properties and complex interactions that govern system behavior 88 In order to diagnose that behavior around a relatively stable equilibrium state one may consider a perturbation to EEI as indicated by the symbol D Such a perturbation is induced by a radiative forcing DF which can be natural or man made Responses within the system to either return back towards the stable state or to move further away from the stable state are called feedbacks lDT D E E I D F l D T displaystyle Delta EEI Delta F lambda Delta T nbsp Collectively the feedbacks are approximated by the linearized parameter l and the perturbed temperature DT because all components of l assumed to be first order to act independently and additively are also functions of temperature albeit to varying extents by definition for a thermodynamic system l i l i l w v l c l a l c c l p l l r displaystyle lambda sum i lambda i lambda wv lambda c lambda a lambda cc lambda p lambda lr nbsp Some feedback components having significant influence on EEI are w v displaystyle wv nbsp water vapor c displaystyle c nbsp clouds a displaystyle a nbsp surface albedo c c displaystyle cc nbsp carbon cycle p displaystyle p nbsp Planck response and l r displaystyle lr nbsp lapse rate All quantities are understood to be global averages while T is usually translated to temperature at the surface because of its direct relevance to humans and much other life 13 The negative Planck response being an especially strong function of temperature is sometimes factored out to give an expression in terms of the relative feedback gains gi from other components l l p 1 i g i displaystyle lambda neg lambda p times 1 sum i g i nbsp For example g w v 0 5 displaystyle g wv approx 0 5 nbsp for the water vapor feedback Within the context of modern numerical climate modelling and analysis the linearized formulation has limited use One such use is to diagnose the relative strengths of different feedback mechanisms An estimate of climate sensitivity to a forcing is then obtained for the case where the net feedback remains negative and the system reaches a new equilibrium state DEEI 0 after some time has passed 10 19 20 D T D F l p 1 i g i displaystyle Delta T frac Delta F lambda p times 1 sum i g i nbsp Implications for climate policy editSee also Climate sensitivity Uncertainty over climate change feedbacks has implications for climate policy For instance uncertainty over carbon cycle feedbacks may affect targets for reducing greenhouse gas emissions climate change mitigation 89 Emissions targets are often based on a target stabilization level of atmospheric greenhouse gas concentrations or on a target for limiting global warming to a particular magnitude Both of these targets concentrations or temperatures require an understanding of future changes in the carbon cycle If models incorrectly project future changes in the carbon cycle then concentration or temperature targets could be missed For example if models underestimate the amount of carbon released into the atmosphere due to positive feedbacks e g due to thawing permafrost then they may also underestimate the extent of emissions reductions necessary to meet a concentration or temperature target citation needed See also editClimate variability and change Climate inertia Complex system Effects of climate change Parametrization climate Tipping points in the climate systemReferences edit a b c The Study of Earth as an Integrated System nasa gov NASA 2016 Archived from the original on November 2 2016 a b c d e f Arias Paola A Bellouin Nicolas Coppola Erika Jones Richard G Krinner Gerhard 2021 Technical Summary PDF Climate Change 2021 The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Report Cambridge University Press Cambridge UK and New York NY US pp 35 144 doi 10 1017 9781009157896 009 Archived from the original PDF on 21 July 2022 IPCC 2021 Annex VII Glossary Matthews J B R V Moller R van Diemen J S Fuglestvedt V Masson Delmotte C Mendez S Semenov A Reisinger eds In Climate Change 2021 The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Masson Delmotte V P Zhai A Pirani S L Connors C Pean S Berger N Caud Y Chen L Goldfarb M I Gomis M Huang K Leitzell E Lonnoy J B R Matthews T K Maycock T Waterfield O Yelekci R Yu and B Zhou eds Cambridge University Press Cambridge United Kingdom and New York NY USA pp 2215 2256 doi 10 1017 9781009157896 022 IPCC 2021 Summary for Policymakers PDF The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change p 40 ISBN 978 92 9169 158 6 8 6 3 1 Water Vapour and Lapse Rate AR4 WGI Chapter 8 Climate Models and their Evaluation ipcc ch Archived from the original on 2010 04 09 Retrieved 2010 04 23 IPCC 2021 Masson Delmotte V Zhai P Pirani A Connors S L et al eds Climate Change 2021 The Physical Science Basis PDF Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge United Kingdom and New York NY US Cambridge University Press In Press Climate change and feedback loops PDF National Oceanographic and Atmospheric Administration NOAA Archived PDF from the original on 25 July 2023 a b c d IPCC 2021 Annex VII Glossary Matthews J B R V Moller R van Diemen J S Fuglestvedt V Masson Delmotte C Mendez S Semenov A Reisinger eds In Climate Change 2021 The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Masson Delmotte V P Zhai A Pirani S L Connors C Pean S Berger N Caud Y Chen L Goldfarb M I Gomis M Huang K Leitzell E Lonnoy J B R Matthews T K Maycock T Waterfield O Yelekci R Yu and B Zhou eds Cambridge University Press Cambridge United Kingdom and New York NY USA pp 2215 2256 doi 10 1017 9781009157896 022 US NRC 2012 Climate Change Evidence Impacts and Choices How much are human activities heating Earth US National Research Council US NRC p 9 Also available as PDF Archived 2013 02 20 at the Wayback Machine a b c National Research Council Panel on Climate Change Feedbacks 2003 Understanding Climate Change Feedbacks Free PDF download Washington D C United States National Academies Press doi 10 17226 10850 ISBN 978 0 309 09072 8 a b Yang Zong Liang Chapter 2 The global energy balance PDF University of Texas Retrieved 2010 02 15 a b c Cronin Timothy W Dutta Ishir 17 July 2023 How Well Do We Understand the Planck Feedback Journal of Advances in Modeling Earth Systems 15 7 1 19 Bibcode 2023JAMES 1503729C doi 10 1029 2023MS003729 a b c Bony Sandrine Colman Robert Kattsov Vladimir M Allan Richard P Bretherton Christopher S Dufresne Jean Louis Hall Alex Hallegatte Stephane Holland Marika M Ingram William Randall David A Soden Brian J Tseliousis George Webb Mark J 1 August 2006 How Well Do We Understand and Evaluate Climate Change Feedback Processes Journal of Climate 19 15 3445 3482 Bibcode 2006JCli 19 3445B doi 10 1175 JCLI3819 1 See Appendices A and B for a more detailed review of this and similar formulations NASA Climate Forcings and Global Warming January 14 2009 Archived from the original on 18 April 2021 Retrieved 20 April 2014 a b c d e f g h i j k Forster P Storelvmo T Armour K Collins W Dufresne J L Frame D Lunt D J Mauritsen T Watanabe M Wild M Zhang H 2021 Masson Delmotte V Zhai P Pirani A Connors S L Pean C Berger S Caud N Chen Y Goldfarb L eds Chapter 7 The Earth s Energy Budget Climate Feedbacks and Climate Sensitivity PDF Climate Change 2021 The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Report Cambridge University Press Cambridge UK and New York NY US pp 923 1054 doi 10 1017 9781009157896 009 Soden B J Held I M 2006 An Assessment of Climate Feedbacks in Coupled Ocean Atmosphere Models Journal of Climate 19 14 3354 Bibcode 2006JCli 19 3354S doi 10 1175 JCLI3799 1 Interestingly the true feedback is consistently weaker than the constant relative humidity value implying a small but robust reduction in relative humidity in all models on average clouds appear to provide a positive feedback in all models Science Magazine February 19 2009 PDF Archived from the original PDF on 2010 07 14 Retrieved 2010 09 02 Jacobson Mark Zachary 2005 Fundamentals of Atmospheric Modeling 2nd ed Cambridge University Press ISBN 978 0 521 83970 9 Ahrens C Donald 2006 Meteorology Today 8th ed Brooks Cole Publishing ISBN 978 0 495 01162 0 Introduction to climate dynamics and climate modelling Water vapour and lapse rate feedbacks www climate be Retrieved 2023 08 28 a b Armour Kyle C Bitz Cecilia M Roe Gerard H 1 July 2013 Time Varying Climate Sensitivity from Regional Feedbacks Journal of Climate 26 13 4518 4534 Bibcode 2013JCli 26 4518A doi 10 1175 jcli d 12 00544 1 hdl 1721 1 87780 S2CID 2252857 Goosse Hugues Kay Jennifer E Armour Kyle C Bodas Salcedo Alejandro Chepfer Helene Docquier David Jonko Alexandra Kushner Paul J Lecomte Olivier Massonnet Francois Park Hyo Seok Pithan Felix Svensson Gunilla Vancoppenolle Martin 15 May 2018 Quantifying climate feedbacks in polar regions Nature Communications 9 1 1919 Bibcode 2018NatCo 9 1919G doi 10 1038 s41467 018 04173 0 PMC 5953926 PMID 29765038 Hahn L C Armour K C Battisti D S Donohoe A Pauling A G Bitz C M 28 August 2020 Antarctic Elevation Drives Hemispheric Asymmetry in Polar Lapse Rate Climatology and Feedback Geophysical Research Letters 47 16 e88965 Bibcode 2020GeoRL 4788965H doi 10 1029 2020GL088965 S2CID 225410590 A E Dessler S C Sherwood 20 February 2009 A matter of humidity PDF Science 323 5917 1020 1021 doi 10 1126 science 1171264 PMID 19229026 S2CID 10362192 Archived from the original PDF on 2010 07 14 Retrieved 2010 09 02 Deser Clara Walsh John E Timlin Michael S 1 February 2000 Arctic Sea Ice Variability in the Context of Recent Atmospheric Circulation Trends J Climate 13 3 617 633 Bibcode 2000JCli 13 617D CiteSeerX 10 1 1 384 2863 doi 10 1175 1520 0442 2000 013 lt 0617 ASIVIT gt 2 0 CO 2 Treut H Le Hansen J Raynaud D Jouzel J Lorius C September 1990 The ice core record climate sensitivity and future greenhouse warming Nature 347 6289 139 145 Bibcode 1990Natur 347 139L doi 10 1038 347139a0 ISSN 1476 4687 S2CID 4331052 De Vrese Philipp Stacke Tobias Rugenstein Jeremy Caves Goodman Jason Brovkin Victor 14 May 2021 Snowfall albedo feedbacks could have led to deglaciation of snowball Earth starting from mid latitudes Communications Earth amp Environment 2 1 91 Bibcode 2021ComEE 2 91D doi 10 1038 s43247 021 00160 4 a b Pistone Kristina Eisenman Ian Ramanathan Veerabhadran 2019 Radiative Heating of an Ice Free Arctic Ocean Geophysical Research Letters 46 13 7474 7480 Bibcode 2019GeoRL 46 7474P doi 10 1029 2019GL082914 ISSN 1944 8007 S2CID 197572148 Rantanen Mika Karpechko Alexey Yu Lipponen Antti Nordling Kalle Hyvarinen Otto Ruosteenoja Kimmo Vihma Timo Laaksonen Ari 11 August 2022 The Arctic has warmed nearly four times faster than the globe since 1979 Communications Earth amp Environment 3 1 168 Bibcode 2022ComEE 3 168R doi 10 1038 s43247 022 00498 3 hdl 11250 3115996 ISSN 2662 4435 S2CID 251498876 Dai Aiguo Luo Dehai Song Mirong Liu Jiping 10 January 2019 Arctic amplification is caused by sea ice loss under increasing CO2 Nature Communications 10 1 121 Bibcode 2019NatCo 10 121D doi 10 1038 s41467 018 07954 9 PMC 6328634 PMID 30631051 Singh Hansi A Polvani Lorenzo M 10 January 2020 Low Antarctic continental climate sensitivity due to high ice sheet orography npj Climate and Atmospheric Science 3 1 39 Bibcode 2020npCAS 3 39S doi 10 1038 s41612 020 00143 w S2CID 222179485 Steig Eric Schneider David Rutherford Scott Mann Michael E Comiso Josefino Shindell Drew 1 January 2009 Warming of the Antarctic ice sheet surface since the 1957 International Geophysical Year Arts amp Sciences Faculty Publications Xin Meijiao Li Xichen Stammerjohn Sharon E Cai Wenju Zhu Jiang Turner John Clem Kyle R Song Chentao Wang Wenzhu Hou Yurong 17 May 2023 A broadscale shift in antarctic temperature trends Climate Dynamics 61 9 10 4623 4641 Bibcode 2023ClDy 61 4623X doi 10 1007 s00382 023 06825 4 S2CID 258777741 Eric Steig Gavin Schmidt 4 December 2004 Antarctic cooling global warming RealClimate Retrieved 2008 01 20 Riihela Aku Bright Ryan M Anttila Kati 28 October 2021 Recent strengthening of snow and ice albedo feedback driven by Antarctic sea ice loss Nature Geoscience 14 11 832 836 Bibcode 2021NatGe 14 832R doi 10 1038 s41561 021 00841 x hdl 11250 2830682 a b c d Wunderling Nico Willeit Matteo Donges Jonathan F Winkelmann Ricarda 27 October 2020 Global warming due to loss of large ice masses and Arctic summer sea ice Nature Communications 10 1 5177 Bibcode 2020NatCo 11 5177W doi 10 1038 s41467 020 18934 3 PMC 7591863 PMID 33110092 Sledd Anne L Ecuyer Tristan S 2 December 2021 A Cloudier Picture of Ice Albedo Feedback in CMIP6 Models Frontiers in Earth Science 9 1067 Bibcode 2021FrEaS 9 1067S doi 10 3389 feart 2021 769844 McKim Brett Bony Sandrine Dufresne Jean Louis 1 April 2024 Weak anvil cloud area feedback suggested by physical and observational constraints Nature Geoscience doi 10 1038 s41561 024 01414 4 Stephens Graeme L 2005 01 01 Cloud Feedbacks in the Climate System A Critical Review Journal of Climate 18 2 237 273 Bibcode 2005JCli 18 237S CiteSeerX 10 1 1 130 1415 doi 10 1175 JCLI 3243 1 ISSN 0894 8755 S2CID 16122908 Aerosol pollution has caused decades of global dimming American Geophysical Union 18 February 2021 Archived from the original on 27 March 2023 Retrieved 18 December 2023 McCoy Daniel T Field Paul Gordon Hamish Elsaesser Gregory S Grosvenor Daniel P 6 April 2020 Untangling causality in midlatitude aerosol cloud adjustments Atmospheric Chemistry and Physics 20 7 4085 4103 Bibcode 2020ACP 20 4085M doi 10 5194 acp 20 4085 2020 Zelinka MD Myers TA McCoy DT Po Chedley S Caldwell PM Ceppi P Klein SA Taylor KE 2020 Causes of Higher Climate Sensitivity in CMIP6 Models Geophysical Research Letters 47 1 e2019GL085782 Bibcode 2020GeoRL 4785782Z doi 10 1029 2019GL085782 hdl 10044 1 76038 ISSN 1944 8007 Increased warming in latest generation of climate models likely caused by clouds New representations of clouds are making models more sensitive to carbon dioxide Science Daily 24 June 2020 Archived from the original on 26 June 2020 Retrieved 26 June 2020 Zhu Jiang Poulsen Christopher J Otto Bliesner Bette L 30 April 2020 High climate sensitivity in CMIP6 model not supported by paleoclimate Nature Climate Change 10 5 378 379 Bibcode 2020NatCC 10 378Z doi 10 1038 s41558 020 0764 6 Erickson Jim 30 April 2020 Some of the latest climate models provide unrealistically high projections of future warming Phys org Retrieved 12 May 2024 But the CESM2 model projected Early Eocene land temperatures exceeding 55 degrees Celsius 131 F in the tropics which is much higher than the temperature tolerance of plant photosynthesis conflicting with the fossil evidence On average across the globe the model projected surface temperatures at least 6 C 11 F warmer than estimates based on geological evidence Voosen Paul 4 May 2022 Use of too hot climate models exaggerates impacts of global warming Science Magazine Retrieved 12 May 2024 But for the 2019 CMIP6 round 10 out of 55 of the models had sensitivities higher than 5 C a stark departure The results were also at odds with a landmark study that eschewed global modeling results and instead relied on paleoclimate and observational records to identify Earth s climate sensitivity It found that the value sits somewhere between 2 6 C and 3 9 C Joos F Roth R Fuglestvedt J S Peters G P Enting I G et al 8 March 2013 Carbon dioxide and climate impulse response functions for the computation of greenhouse gas metrics A multi model analysis Atmospheric Chemistry and Physics 13 5 2793 2825 nbsp Material was copied from this source which is available under a Creative Commons Attribution 3 0 Unported License doi 10 5194 acpd 12 19799 2012 hdl 20 500 11850 58316 Gregory J M Jones C D Cadule P Friedlingstein P 2009 Quantifying Carbon Cycle Feedbacks Journal of Climate 22 19 5232 5250 Bibcode 2009JCli 22 5232G doi 10 1175 2009JCLI2949 1 Meehl G A et al Chapter 10 Global Climate Projections Sec 10 5 4 6 Synthesis of Projected Global Temperature at Year 2100 archived from the original on 2018 11 04 retrieved 2013 02 01 in Climate Change 2007 The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Solomon S D Qin M Manning Z Chen M Marquis K B Averyt M Tignor and H L Miller eds Cambridge University Press Cambridge United Kingdom and New York NY USA Solomon et al Technical Summary TS 6 4 3 Global Projections Key uncertainties archived from the original on 2018 11 03 retrieved 2013 02 01 in in Climate Change 2007 The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Solomon S D Qin M Manning Z Chen M Marquis K B Averyt M Tignor and H L Miller eds Cambridge University Press Cambridge United Kingdom and New York NY USA Cook K H Vizy E K 2008 Effects of Twenty First Century Climate Change on the Amazon Rain Forest Journal of Climate 21 3 542 821 Bibcode 2008JCli 21 542C doi 10 1175 2007JCLI1838 1 Nobre Carlos Lovejoy Thomas E 2018 02 01 Amazon Tipping Point Science Advances 4 2 eaat2340 Bibcode 2018SciA 4 2340L doi 10 1126 sciadv aat2340 ISSN 2375 2548 PMC 5821491 PMID 29492460 Enquist B J Enquist C A F 2011 Long term change within a Neotropical forest assessing differential functional and floristic responses to disturbance and drought Global Change Biology 17 3 1408 Bibcode 2011GCBio 17 1408E doi 10 1111 j 1365 2486 2010 02326 x S2CID 83489971 Rammig Anja Wang Erlandsson Lan Staal Arie Sampaio Gilvan Montade Vincent Hirota Marina Barbosa Henrique M J Schleussner Carl Friedrich Zemp Delphine Clara 2017 03 13 Self amplified Amazon forest loss due to vegetation atmosphere feedbacks Nature Communications 8 14681 Bibcode 2017NatCo 814681Z doi 10 1038 ncomms14681 ISSN 2041 1723 PMC 5355804 PMID 28287104 Climate Change and Fire David Suzuki Foundation Archived from the original on 2007 12 08 Retrieved 2007 12 02 Global warming Impacts Forests United States Environmental Protection Agency 2000 01 07 Archived from the original on 2007 02 19 Retrieved 2007 12 02 Feedback Cycles linking forests climate and landuse activities Woods Hole Research Center Archived from the original on 2007 10 25 Retrieved 2007 12 02 Science Global warming is killing U S trees a dangerous carbon cycle feedback climateprogress org IPCC 2021 Summary for Policymakers PDF The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change p 40 ISBN 978 92 9169 158 6 a b c d Canadell J G Monteiro P M S Costa M H Cotrim da Cunha L Cox P M Eliseev A V Henson S Ishii M Jaccard S Koven C Lohila A Patra P K Piao S Rogelj J Syampungani S Zaehle S Zickfeld K 2021 Masson Delmotte V Zhai P Pirani A Connors S L Pean C Berger S Caud N Chen Y Goldfarb L eds Chapter 5 Global Carbon and other Biogeochemical Cycles and Feedbacks PDF Climate Change 2021 The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Report Cambridge University Press Cambridge UK and New York NY US pp 673 816 doi 10 1017 9781009157896 007 Archer David 2005 Fate of fossil fuel CO2 in geologic time PDF Journal of Geophysical Research 110 C9 C09S05 Bibcode 2005JGRC 110 9S05A CiteSeerX 10 1 1 364 2117 doi 10 1029 2004JC002625 Kang Sarah M Ceppi Paulo Yu Yue Kang In Sik 24 August 2023 Recent global climate feedback controlled by Southern Ocean cooling Nature Geoscience 16 9 775 780 Bibcode 2023NatGe 16 775K doi 10 1038 s41561 023 01256 6 Net climate feedback is negative as the climate system acts to counteract the forcing otherwise the system would be unstable Sigurdur R Gislason Eric H Oelkers Eydis S Eiriksdottir Marin I Kardjilov Gudrun Gisladottir Bergur Sigfusson Arni Snorrason Sverrir Elefsen Jorunn Hardardottir Peter Torssander Niels Oskarsson 2009 Direct evidence of the feedback between climate and weathering Earth and Planetary Science Letters 277 1 2 213 222 Bibcode 2009E amp PSL 277 213G doi 10 1016 j epsl 2008 10 018 The Carbon Cycle Earth Science Visionlearning Visionlearning Prologue The Long Thaw How Humans Are Changing the Next 100 000 Years of Earth s Climate by David Archer princeton edu Archived from the original on 2010 07 04 Retrieved 2010 08 09 Repo M E Susiluoto S Lind S E Jokinen S Elsakov V Biasi C Virtanen T Martikainen P J 2009 Large N2O emissions from cryoturbated peat soil in tundra Nature Geoscience 2 3 189 Bibcode 2009NatGe 2 189R doi 10 1038 ngeo434 Caitlin McDermott Murphy 2019 No laughing matter The Harvard Gazette Retrieved 22 July 2019 Simo R Dachs J 2002 Global ocean emission of dimethylsulfide predicted from biogeophysical data Global Biogeochemical Cycles 16 4 1018 Bibcode 2002GBioC 16 1018S doi 10 1029 2001GB001829 S2CID 129266687 Dean Joshua F Middelburg Jack J Rockmann Thomas Aerts Rien Blauw Luke G Egger Matthias Jetten Mike S M de Jong Anniek E E Meisel Ove H 2018 Methane Feedbacks to the Global Climate System in a Warmer World Reviews of Geophysics 56 1 207 250 Bibcode 2018RvGeo 56 207D doi 10 1002 2017RG000559 hdl 1874 366386 Zhu Yizhu Purdy Kevin J Eyice Ozge Shen Lidong Harpenslager Sarah F Yvon Durocher Gabriel Dumbrell Alex J Trimmer Mark 2020 06 29 Disproportionate increase in freshwater methane emissions induced by experimental warming Nature Climate Change 10 7 685 690 Bibcode 2020NatCC 10 685Z doi 10 1038 s41558 020 0824 y ISSN 1758 6798 S2CID 220261158 University of Virginia March 25 2011 Russian boreal forests undergoing vegetation change study shows ScienceDaily com Retrieved March 9 2018 a b c Schuur Edward A G Abbott Benjamin W Commane Roisin Ernakovich Jessica Euskirchen Eugenie Hugelius Gustaf Grosse Guido Jones Miriam Koven Charlie Leshyk Victor Lawrence David Loranty Michael M Mauritz Marguerite Olefeldt David Natali Susan Rodenhizer Heidi Salmon Verity Schadel Christina Strauss Jens Treat Claire Turetsky Merritt 2022 Permafrost and Climate Change Carbon Cycle Feedbacks From the Warming Arctic Annual Review of Environment and Resources 47 343 371 doi 10 1146 annurev environ 012220 011847 S2CID 252986002 a b Fox Kemper B H T Hewitt C Xiao G Adalgeirsdottir S S Drijfhout T L Edwards N R Golledge M Hemer R E Kopp G Krinner A Mix D Notz S Nowicki I S Nurhati L Ruiz J B Sallee A B A Slangen and Y Yu 2021 Chapter 9 Ocean Cryosphere and Sea Level Change In Climate Change 2021 The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change Masson Delmotte V P Zhai A Pirani S L Connors C Pean S Berger N Caud Y Chen L Goldfarb M I Gomis M Huang K Leitzell E Lonnoy J B R Matthews T K Maycock T Waterfield O Yelekci R Yu and B Zhou eds Cambridge University Press Cambridge United Kingdom and New York NY USA pp 1211 1362 doi 10 1017 9781009157896 011 Schellnhuber Hans Joachim Winkelmann Ricarda Scheffer Marten Lade Steven J Fetzer Ingo Donges Jonathan F Crucifix Michel Cornell Sarah E Barnosky Anthony D 2018 Trajectories of the Earth System in the Anthropocene Proceedings of the National Academy of Sciences 115 33 8252 8259 Bibcode 2018PNAS 115 8252S doi 10 1073 pnas 1810141115 ISSN 0027 8424 PMC 6099852 PMID 30082409 Armstrong McKay David Abrams Jesse Winkelmann Ricarda Sakschewski Boris Loriani Sina Fetzer Ingo Cornell Sarah Rockstrom Johan Staal Arie Lenton Timothy 9 September 2022 Exceeding 1 5 C global warming could trigger multiple climate tipping points Science 377 6611 eabn7950 doi 10 1126 science abn7950 hdl 10871 131584 ISSN 0036 8075 PMID 36074831 S2CID 252161375 Armstrong McKay David 9 September 2022 Exceeding 1 5 C global warming could trigger multiple climate tipping points paper explainer climatetippingpoints info Retrieved 2 October 2022 a b c Armstrong McKay David Abrams Jesse Winkelmann Ricarda Sakschewski Boris Loriani Sina Fetzer Ingo Cornell Sarah Rockstrom Johan Staal Arie Lenton Timothy 9 September 2022 Exceeding 1 5 C global warming could trigger multiple climate tipping points Science 377 6611 eabn7950 doi 10 1126 science abn7950 hdl 10871 131584 ISSN 0036 8075 PMID 36074831 S2CID 252161375 a b c Armstrong McKay David 9 September 2022 Exceeding 1 5 C global warming could trigger multiple climate tipping points paper explainer climatetippingpoints info Retrieved 2 October 2022 Ice Sheets National Science Foundation About the Greenland Ice Sheet National Snow and Ice Data Center 21 November 2012 Gas Hydrate What is it U S Geological Survey 31 August 2009 archived from the original on June 14 2012 retrieved 28 December 2014 Roald Hoffmann 2006 Old Gas New Gas American Scientist 94 1 16 18 doi 10 1511 2006 57 3476 Preuss Paul 17 September 2008 IMPACTS On the Threshold of Abrupt Climate Changes Lawrence Berkeley National Laboratory Atsushi Obata Kiyotaka Shibata June 20 2012 Damage of Land Biosphere due to Intense Warming by 1000 Fold Rapid Increase in Atmospheric Methane Estimation with a Climate Carbon Cycle Model J Climate 25 24 8524 8541 Bibcode 2012JCli 25 8524O doi 10 1175 JCLI D 11 00533 1 Wallmann et al 2018 Gas hydrate dissociation off Svalbard induced by isostatic rebound rather than global warming Nature Communications 9 1 83 Bibcode 2018NatCo 9 83W doi 10 1038 s41467 017 02550 9 PMC 5758787 PMID 29311564 Mau S Romer M Torres M E Bussmann I Pape T Damm E Geprags P Wintersteller P Hsu C W Loher M Bohrmann G 23 February 2017 Widespread methane seepage along the continental margin off Svalbard from Bjornoya to Kongsfjorden Scientific Reports 7 42997 Bibcode 2017NatSR 742997M doi 10 1038 srep42997 PMC 5322355 PMID 28230189 S2CID 23568012 Schellnhuber Hans Joachim Winkelmann Ricarda Scheffer Marten Lade Steven J Fetzer Ingo Donges Jonathan F Crucifix Michel Cornell Sarah E Barnosky Anthony D 2018 Trajectories of the Earth System in the Anthropocene Proceedings of the National Academy of Sciences 115 33 8252 8259 Bibcode 2018PNAS 115 8252S doi 10 1073 pnas 1810141115 ISSN 0027 8424 PMC 6099852 PMID 30082409 Hansen James Sato Makiko Kharecha Pushker von Schuckmann Karina January 2012 Earth s Energy Imbalance NASA Archived from the original on 2012 02 04 Meehl G A T F Stocker W D Collins P Friedlingstein A T Gaye J M Gregory A Kitoh R Knutti J M Murphy A Noda S C B Raper I G Watterson A J Weaver and Z C Zhao 2007 Chapter 10 Global Climate Projections In Climate Change 2007 The Physical Science Basis Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change Solomon S D Qin M Manning Z Chen M Marquis K B Averyt M Tignor and H L Miller eds Cambridge University Press Cambridge United Kingdom and New York NY USA Section 10 4 1 Carbon Cycle Vegetation Feedbacks External links editCO2 The Thermostat that Controls Earth s Temperature by NASA Goddard Institute for Space Studies October 2010 nbsp Climate change portal Retrieved from https en wikipedia org w index php title Climate change feedbacks amp oldid 1223847003, wikipedia, wiki, book, books, library,

article

, read, download, free, free download, mp3, video, mp4, 3gp, jpg, jpeg, gif, png, picture, music, song, movie, book, game, games.