Attribution of recent climate change
Attribution of recent climate change is the effort to scientifically ascertain mechanisms responsible for recent changes observed in the Earth's climate. The effort has focused on changes observed during the period of instrumental temperature record, when records are most reliable; particularly on the last 50 years, when human activity has grown fastest and observations of the troposphere have become available. The dominant mechanisms (to which recent climate change has been attributed) are anthropogenic, i.e., the result of human activity. They are:
- increasing atmospheric concentrations of greenhouse gases
- global changes to land surface, such as deforestation
- increasing atmospheric concentrations of aerosols.
According to the Intergovernmental Panel on Climate Change (IPCC), it is "extremely likely" that human influence was the dominant cause of global warming between 1951 and 2010. The IPCC defines "extremely likely" as indicating a probability of 95 to 100%, based on an expert assessment of all the available evidence.
Multiple lines of evidence support attribution of recent climate change to human activities:
- A basic physical understanding of the climate system: greenhouse gas concentrations have increased and their warming properties are well-established.
- Historical estimates of past climate changes suggest that the recent changes in global surface temperature are unusual.
- Computer-based climate models are unable to replicate the observed warming unless human greenhouse gas emissions are included.
- Natural forces alone (such as solar and volcanic activity) cannot explain the observed warming.
The IPCC's attribution of recent global warming to human activities is a view shared by most scientists,:2 and is also supported by 196 other scientific organizations worldwide (see also: scientific opinion on climate change).
- 1 Background
- 2 Detection vs. attribution
- 3 Key attributions
- 4 Attribution of 20th century climate change
- 5 Scientific literature and opinion
- 6 Difficulties in attribution
- 7 Solar activity
- 8 Non-consensus views
- 9 Earlier climate changes
- 10 Internal climate variability and global warming
- 11 List of scientific organizations that support the consensus
- 12 See also
- 13 Notes
- 14 References
- 15 Further reading
- 16 External links
This section introduces some concepts in climate science that are used in the following sections:
Factors affecting Earth's climate can be broken down into feedbacks and forcings.:7 A forcing is something that is imposed externally on the climate system. External forcings include natural phenomena such as volcanic eruptions and variations in the sun's output. Human activities can also impose forcings, for example, through changing the composition of the atmosphere.
Radiative forcing is a measure of how various factors alter the energy balance of the Earth's atmosphere. A positive radiative forcing will tend to increase the energy of the Earth-atmosphere system, leading to a warming of the system. Between the start of the Industrial Revolution in 1750, and the year 2005, the increase in the atmospheric concentration of carbon dioxide (chemical formula: CO2) led to a positive radiative forcing, averaged over the Earth's surface area, of about 1.66 watts per square metre (abbreviated W m−2).
Climate feedbacks can either amplify or dampen the response of the climate to a given forcing.:7 There are many feedback mechanisms in the climate system that can either amplify (a positive feedback) or diminish (a negative feedback) the effects of a change in climate forcing.
Aspects of the climate system will show variation in response to changes in forcings. In the absence of forcings imposed on it, the climate system will still show internal variability (see images opposite). This internal variability is a result of complex interactions between components of the climate system, such as the coupling between the atmosphere and ocean (see also the later section on Internal climate variability and global warming). An example of internal variability is the El Niño-Southern Oscillation.
Detection vs. attribution
Detection and attribution of climate signals, as well as its common-sense meaning, has a more precise definition within the climate change literature, as expressed by the IPCC.
Detection of a signal requires demonstrating that an observed change is statistically significantly different from that which can be explained by natural internal variability.
Attribution requires demonstrating that a signal is:
- unlikely to be due entirely to internal variability;
- consistent with the estimated responses to the given combination of anthropogenic and natural forcing
- not consistent with alternative, physically plausible explanations of recent climate change that exclude important elements of the given combination of forcings.
Detection does not imply attribution, and is easier to show than attribution. Unequivocal attribution would require controlled experiments with multiple copies of the climate system, which is not possible. Therefore, attribution, as described above, can only be done within some margin of error. For example, the IPCC's Fourth Assessment Report says "it is extremely likely that human activities have exerted a substantial net warming influence on climate since 1750," where "extremely likely" indicates a probability greater than 95%.
Carbon dioxide is the primary greenhouse gas that is contributing to recent climate change. CO
2 is absorbed and emitted naturally as part of the carbon cycle, through animal and plant respiration, volcanic eruptions, and ocean-atmosphere exchange. Human activities, such as the burning of fossil fuels and changes in land use (see below), release large amounts of carbon to the atmosphere, causing CO
2 concentrations in the atmosphere to rise.
The high-accuracy measurements of atmospheric CO2 concentration, initiated by Charles David Keeling in 1958, constitute the master time series documenting the changing composition of the atmosphere. These data have iconic status in climate change science as evidence of the effect of human activities on the chemical composition of the global atmosphere.
Along with CO2, methane and nitrous oxide are also major forcing contributors to the greenhouse effect. The Kyoto Protocol lists these together with hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), and sulphur hexafluoride (SF6), which are entirely artificial (i.e. anthropogenic) gases, which also contribute to radiative forcing in the atmosphere. The chart at right attributes anthropogenic greenhouse gas emissions to eight main economic sectors, of which the largest contributors are power stations (many of which burn coal or other fossil fuels), industrial processes, transportation fuels (generally fossil fuels), and agricultural by-products (mainly methane from enteric fermentation and nitrous oxide from fertilizer use).
Water vapor is the most abundant greenhouse gas and also the most important in terms of its contribution to the natural greenhouse effect, despite having a short atmospheric lifetime (about 10 days). Some human activities can influence local water vapor levels. However, on a global scale, the concentration of water vapor is controlled by temperature, which influences overall rates of evaporation and precipitation. Therefore, the global concentration of water vapor is not substantially affected by direct human emissions.
Climate change is attributed to land use for two main reasons. Between 1750 and 2007, about two-thirds of anthropogenic CO2 emissions were produced from burning fossil fuels, and about one-third of emissions from changes in land use, primarily deforestation. Deforestation both reduces the amount of carbon dioxide absorbed by deforested regions and releases greenhouse gases directly, together with aerosols, through biomass burning that frequently accompanies it.
A second reason that climate change has been attributed to land use is that the terrestrial albedo is often altered by use, which leads to radiative forcing. This effect is more significant locally than globally.
Livestock and land use
Worldwide, livestock production occupies 70% of all land used for agriculture, or 30% of the ice-free land surface of the Earth. More than 18% of anthropogenic greenhouse gas emissions are attributed to livestock and livestock-related activities such as deforestation and increasingly fuel-intensive farming practices. Specific attributions to the livestock sector include:
- 9% of global anthropogenic carbon dioxide emissions
- 35–40% of global anthropogenic methane emissions (chiefly due to enteric fermentation and manure)
- 64% of global anthropogenic nitrous oxide emissions, chiefly due to fertilizer use.
With virtual certainty, scientific consensus has attributed various forms of climate change, chiefly cooling effects, to aerosols, which are small particles or droplets suspended in the atmosphere. Key sources to which anthropogenic aerosols are attributed include:
- biomass burning such as slash and burn deforestation. Aerosols produced are primarily black carbon.
- industrial air pollution, which produces soot and airborne sulfates, nitrates, and ammonium
- dust produced by land use effects such as desertification
Attribution of 20th century climate change
Over the past 150 years human activities have released increasing quantities of greenhouse gases into the atmosphere. This has led to increases in mean global temperature, or global warming. Other human effects are relevant—for example, sulphate aerosols are believed to have a cooling effect. Natural factors also contribute. According to the historical temperature record of the last century, the Earth's near-surface air temperature has risen around 0.74 ± 0.18 °Celsius (1.3 ± 0.32 °Fahrenheit).
A historically important question in climate change research has regarded the relative importance of human activity and non-anthropogenic causes during the period of instrumental record. In the 1995 Second Assessment Report (SAR), the IPCC made the widely quoted statement that "The balance of evidence suggests a discernible human influence on global climate". The phrase "balance of evidence" suggested the (English) common-law standard of proof required in civil as opposed to criminal courts: not as high as "beyond reasonable doubt". In 2001 the Third Assessment Report (TAR) refined this, saying "There is new and stronger evidence that most of the warming observed over the last 50 years is attributable to human activities". The 2007 Fourth Assessment Report (AR4) strengthened this finding:
- "Anthropogenic warming of the climate system is widespread and can be detected in temperature observations taken at the surface, in the free atmosphere and in the oceans. Evidence of the effect of external influences, both anthropogenic and natural, on the climate system has continued to accumulate since the TAR.")
Other findings of the IPCC Fourth Assessment Report include:
- "It is extremely unlikely (<5%) that the global pattern of warming during the past half century can be explained without external forcing (i.e., it is inconsistent with being the result of internal variability), and very unlikely that it is due to known natural external causes alone. The warming occurred in both the ocean and the atmosphere and took place at a time when natural external forcing factors would likely have produced cooling."
- "From new estimates of the combined anthropogenic forcing due to greenhouse gases, aerosols, and land surface changes, it is extremely likely (>95%) that human activities have exerted a substantial net warming influence on climate since 1750."
- "It is virtually certain that anthropogenic aerosols produce a net negative radiative forcing (cooling influence) with a greater magnitude in the Northern Hemisphere than in the Southern Hemisphere."
Over the past five decades there has been a global warming of approximately 0.65 °C (1.17 °F) at the Earth's surface (see historical temperature record). Among the possible factors that could produce changes in global mean temperature are internal variability of the climate system, external forcing, an increase in concentration of greenhouse gases, or any combination of these. Current studies indicate that the increase in greenhouse gases, most notably CO2, is mostly responsible for the observed warming. Evidence for this conclusion includes:
- Estimates of internal variability from climate models, and reconstructions of past temperatures, indicate that the warming is unlikely to be entirely natural.
- Climate models forced by natural factors and increased greenhouse gases and aerosols reproduce the observed global temperature changes; those forced by natural factors alone do not.
- "Fingerprint" methods (see below) indicate that the pattern of change is closer to that expected from greenhouse gas-forced change than from natural change.
- The plateau in warming from the 1940s to 1960s can be attributed largely to sulphate aerosol cooling.
Details on attribution
 Recent scientific assessments find that most of the warming of the Earth's surface over the past 50 years has been caused by human activities (see also the section on scientific literature and opinion). This conclusion rests on multiple lines of evidence. Like the warming "signal" that has gradually emerged from the "noise" of natural climate variability, the scientific evidence for a human influence on global climate has accumulated over the past several decades, from many hundreds of studies. No single study is a "smoking gun." Nor has any single study or combination of studies undermined the large body of evidence supporting the conclusion that human activity is the primary driver of recent warming.
 The first line of evidence is based on a physical understanding of how greenhouse gases trap heat, how the climate system responds to increases in greenhouse gases, and how other human and natural factors influence climate. The second line of evidence is from indirect estimates of climate changes over the last 1,000 to 2,000 years. These records are obtained from living things and their remains (like tree rings and corals) and from physical quantities (like the ratio between lighter and heavier isotopes of oxygen in ice cores), which change in measurable ways as climate changes. The lesson from these data is that global surface temperatures over the last several decades are clearly unusual, in that they were higher than at any time during at least the past 400 years. For the Northern Hemisphere, the recent temperature rise is clearly unusual in at least the last 1,000 years (see graph opposite).
The third line of evidence is based on the broad, qualitative consistency between observed changes in climate and the computer model simulations of how climate would be expected to change in response to human activities. For example, when climate models are run with historical increases in greenhouse gases, they show gradual warming of the Earth and ocean surface, increases in ocean heat content and the temperature of the lower atmosphere, a rise in global sea level, retreat of sea ice and snow cover, cooling of the stratosphere, an increase in the amount of atmospheric water vapor, and changes in large-scale precipitation and pressure patterns. These and other aspects of modelled climate change are in agreement with observations.
Finally, there is extensive statistical evidence from so-called "fingerprint" studies. Each factor that affects climate produces a unique pattern of climate response, much as each person has a unique fingerprint. Fingerprint studies exploit these unique signatures, and allow detailed comparisons of modelled and observed climate change patterns. Scientists rely on such studies to attribute observed changes in climate to a particular cause or set of causes. In the real world, the climate changes that have occurred since the start of the Industrial Revolution are due to a complex mixture of human and natural causes. The importance of each individual influence in this mixture changes over time. Of course, there are not multiple Earths, which would allow an experimenter to change one factor at a time on each Earth, thus helping to isolate different fingerprints. Therefore, climate models are used to study how individual factors affect climate. For example, a single factor (like greenhouse gases) or a set of factors can be varied, and the response of the modelled climate system to these individual or combined changes can thus be studied.
For example, when climate model simulations of the last century include all of the major influences on climate, both human-induced and natural, they can reproduce many important features of observed climate change patterns. When human influences are removed from the model experiments, results suggest that the surface of the Earth would actually have cooled slightly over the last 50 years (see graph, opposite). The clear message from fingerprint studies is that the observed warming over the last half-century cannot be explained by natural factors, and is instead caused primarily by human factors.
Another fingerprint of human effects on climate has been identified by looking at a slice through the layers of the atmosphere, and studying the pattern of temperature changes from the surface up through the stratosphere (see the section on solar activity). The earliest fingerprint work focused on changes in surface and atmospheric temperature. Scientists then applied fingerprint methods to a whole range of climate variables, identifying human-caused climate signals in the heat content of the oceans, the height of the tropopause (the boundary between the troposphere and stratosphere, which has shifted upward by hundreds of feet in recent decades), the geographical patterns of precipitation, drought, surface pressure, and the runoff from major river basins.
Studies published after the appearance of the IPCC Fourth Assessment Report in 2007 have also found human fingerprints in the increased levels of atmospheric moisture (both close to the surface and over the full extent of the atmosphere), in the decline of Arctic sea ice extent, and in the patterns of changes in Arctic and Antarctic surface temperatures.
The message from this entire body of work is that the climate system is telling a consistent story of increasingly dominant human influence – the changes in temperature, ice extent, moisture, and circulation patterns fit together in a physically consistent way, like pieces in a complex puzzle.
Increasingly, this type of fingerprint work is shifting its emphasis. As noted, clear and compelling scientific evidence supports the case for a pronounced human influence on global climate. Much of the recent attention is now on climate changes at continental and regional scales, and on variables that can have large impacts on societies. For example, scientists have established causal links between human activities and the changes in snowpack, maximum and minimum (diurnal) temperature, and the seasonal timing of runoff over mountainous regions of the western United States. Human activity is likely to have made a substantial contribution to ocean surface temperature changes in hurricane formation regions. Researchers are also looking beyond the physical climate system, and are beginning to tie changes in the distribution and seasonal behaviour of plant and animal species to human-caused changes in temperature and precipitation.
For over a decade, one aspect of the climate change story seemed to show a significant difference between models and observations. In the tropics, all models predicted that with a rise in greenhouse gases, the troposphere would be expected to warm more rapidly than the surface. Observations from weather balloons, satellites, and surface thermometers seemed to show the opposite behaviour (more rapid warming of the surface than the troposphere). This issue was a stumbling block in understanding the causes of climate change. It is now largely resolved. Research showed that there were large uncertainties in the satellite and weather balloon data. When uncertainties in models and observations are properly accounted for, newer observational data sets (with better treatment of known problems) are in agreement with climate model results.
This does not mean, however, that all remaining differences between models and observations have been resolved. The observed changes in some climate variables, such as Arctic sea ice, some aspects of precipitation, and patterns of surface pressure, appear to be proceeding much more rapidly than models have projected. The reasons for these differences are not well understood. Nevertheless, the bottom-line conclusion from climate fingerprinting is that most of the observed changes studied to date are consistent with each other, and are also consistent with our scientific understanding of how the climate system would be expected to respond to the increase in heat-trapping gases resulting from human activities.
Extreme weather events
One of the subjects discussed in the literature is whether or not extreme weather events can be attributed to human activities. Seneviratne et al. (2012) stated that attributing individual extreme weather events to human activities was challenging. They were, however, more confident over attributing changes in long-term trends of extreme weather. For example, Seneviratne et al. (2012) concluded that human activities had likely led to a warming of extreme daily minimum and maximum temperatures at the global scale.
Another way of viewing the problem is to consider the effects of human-induced climate change on the probability of future extreme weather events. Stott et al. (2003), for example, considered whether or not human activities had increased the risk of severe heat waves in Europe, like the one experienced in 2003. Their conclusion was that human activities had very likely more than doubled the risk of heat waves of this magnitude.
An analogy can be made between an athlete on steroids and human-induced climate change. In the same way that an athlete's performance may increase from using steroids, human-induced climate change increases the risk of some extreme weather events.
Hansen et al. (2012) suggested that human activities have greatly increased the risk of summertime heat waves. According to their analysis, the land area of the Earth affected by very hot summer temperature anomalies has greatly increased over time (refer to graphs on the left). In the base period 1951-1980, these anomalies covered a few tenths of 1% of the global land area. In recent years, this has increased to around 10% of the global land area. With high confidence, Hansen et al. (2012) attributed the 2010 Moscow and 2011 Texas heat waves to human-induced global warming.
An earlier study by Dole et al. (2011) concluded that the 2010 Moscow heatwave was mostly due to natural weather variability. While not directly citing Dole et al. (2011), Hansen et al. (2012) rejected this type of explanation. Hansen et al. (2012) stated that a combination of natural weather variability and human-induced global warming was responsible for the Moscow and Texas heat waves.
Scientific literature and opinion
There are a number of examples of published and informal support for the consensus view. As mentioned earlier, the IPCC has concluded that most of the observed increase in globally averaged temperatures since the mid-20th century is "very likely" due to human activities. The IPCC's conclusions are consistent with those of several reports produced by the US National Research Council. A report published in 2009 by the U.S. Global Change Research Program concluded that "[global] warming is unequivocal and primarily human-induced." A number of scientific organizations have issued statements that support the consensus view. Two examples include:
- a joint statement made in 2005 by the national science academies of the G8, and Brazil, China and India;
- a joint statement made in 2008 by the Network of African Science Academies.
Detection and attribution studies
- In 1996, in a paper in Nature titled "A search for human influences on the thermal structure of the atmosphere", Benjamin D. Santer et al. wrote: "The observed spatial patterns of temperature change in the free atmosphere from 1963 to 1987 are similar to those predicted by state-of-the-art climate models incorporating various combinations of changes in carbon dioxide, anthropogenic sulphate aerosol and stratospheric ozone concentrations. The degree of pattern similarity between models and observations increases through this period. It is likely that this trend is partially due to human activities, although many uncertainties remain, particularly relating to estimates of natural variability."
- A 2002 paper in the Journal of Geophysical Research says "Our analysis suggests that the early twentieth century warming can best be explained by a combination of warming due to increases in greenhouse gases and natural forcing, some cooling due to other anthropogenic forcings, and a substantial, but not implausible, contribution from internal variability. In the second half of the century we find that the warming is largely caused by changes in greenhouse gases, with changes in sulphates and, perhaps, volcanic aerosol offsetting approximately one third of the warming."
- A 2005 review of detection and attribution studies by the International Ad Hoc Detection and Attribution Group found that "natural drivers such as solar variability and volcanic activity are at most partially responsible for the large-scale temperature changes observed over the past century, and that a large fraction of the warming over the last 50 yr can be attributed to greenhouse gas increases. Thus, the recent research supports and strengthens the IPCC Third Assessment Report conclusion that 'most of the global warming over the past 50 years is likely due to the increase in greenhouse gases.'"
- Barnett and colleagues (2005) say that the observed warming of the oceans "cannot be explained by natural internal climate variability or solar and volcanic forcing, but is well simulated by two anthropogenically forced climate models," concluding that "it is of human origin, a conclusion robust to observational sampling and model differences"
- Two papers in the journal Science in August 2005 resolve the problem, evident at the time of the TAR, of tropospheric temperature trends (see also the section on "fingerprint" studies) . The UAH version of the record contained errors, and there is evidence of spurious cooling trends in the radiosonde record, particularly in the tropics. See satellite temperature measurements for details; and the 2006 US CCSP report.
- Multiple independent reconstructions of the temperature record of the past 1000 years confirm that the late 20th century is probably the warmest period in that time (see the preceding section -details on attribution).
Reviews of scientific opinion
- An essay in Science surveyed 928 abstracts related to climate change, and concluded that most journal reports accepted the consensus. This is discussed further in scientific opinion on climate change.
- A 2010 paper in the Proceedings of the National Academy of Sciences found that among a pool of roughly 1,000 researchers who work directly on climate issues and publish the most frequently on the subject, 97% agree that anthropogenic climate change is happening.
- A 2011 paper from George Mason University published in the International Journal of Public Opinion Research, "The Structure of Scientific Opinion on Climate Change," collected the opinions of scientists in the earth, space, atmospheric, oceanic or hydrological sciences. The 489 survey respondents — representing nearly half of all those eligible according to the survey's specific standards – work in academia, government, and industry, and are members of prominent professional organizations. The study found that 97% of the 489 scientists surveyed agreed that that global temperatures have risen over the past century. Moreover, 84% agreed that "human-induced greenhouse warming" is now occurring." Only 5% disagreed with the idea that human activity is a significant cause of global warming.
As described above, a small minority of scientists do disagree with the consensus: see list of scientists opposing global warming consensus. For example Willie Soon and Richard Lindzen say that there is insufficient proof for anthropogenic attribution. Generally this position requires new physical mechanisms to explain the observed warming.
Difficulties in attribution
At the time of the IPCC Fourth Assessment Report, attribution was possible for a number of observed changes in the climate (see effects of global warming). However, attribution was found to be more difficult when assessing changes over smaller regions (less than continental scale) and over short time periods (less than 50 years). Over larger regions, averaging reduces natural variability of the climate, making detection and attribution easier.
Solar sunspot maximum occurs when the magnetic field of the sun collapses and reverse as part of its average 11 year solar cycle (22 years for complete North to North restoration).
The role of the sun in recent climate change has been looked at by climate scientists. Since 1978, output from the Sun has been measured by satellites :6 significantly more accurately than was previously possible from the surface. These measurements indicate that the Sun's total solar irradiance has not increased since 1978, so the warming during the past 30 years cannot be directly attributed to an increase in total solar energy reaching the Earth (see graph above, left). In the three decades since 1978, the combination of solar and volcanic activity probably had a slight cooling influence on the climate.
Climate models have been used to examine the role of the sun in recent climate change. Models are unable to reproduce the rapid warming observed in recent decades when they only take into account variations in total solar irradiance and volcanic activity. Models are, however, able to simulate the observed 20th century changes in temperature when they include all of the most important external forcings, including human influences and natural forcings. As has already been stated, Hegerl et al. (2007) concluded that greenhouse gas forcing had "very likely" caused most of the observed global warming since the mid-20th century. In making this conclusion, Hegerl et al. (2007) allowed for the possibility that climate models had been underestimated the effect of solar forcing.
The role of solar activity in climate change has also been calculated over longer time periods using "proxy" datasets, such as tree rings. Models indicate that solar and volcanic forcings can explain periods of relative warmth and cold between A.D. 1000 and 1900, but human-induced forcings are needed to reproduce the late-20th century warming.
Another line of evidence against the sun having caused recent climate change comes from looking at how temperatures at different levels in the Earth's atmosphere have changed. Models and observations (see figure above, middle) show that greenhouse gas results in warming of the lower atmosphere at the surface (called the troposphere) but cooling of the upper atmosphere (called the stratosphere). Depletion of the ozone layer by chemical refrigerants has also resulted in a cooling effect in the stratosphere. If the sun was responsible for observed warming, warming of the troposphere at the surface and warming at the top of the stratosphere would be expected as increase solar activity would replenish ozone and oxides of nitrogen.  The stratosphere has a reverse temperature gradient than the troposphere so as the temperature of the troposphere cools with altitude, the stratosphere rises with altitude. Hadley cells are the mechanism by which equatorial generated ozone in the tropics (highest area of UV irradiance in the stratosphere) is moved poleward. Global climate models suggest that climate change may widen the Hadley cells and push the jetstream northward thereby expanding the tropics region and resulting in warmer, dryer conditions in those areas overall. 
Habibullo Abdussamatov (2004), head of space research at St. Petersburg's Pulkovo Astronomical Observatory in Russia, has argued that the sun is responsible for recently observed climate change. Journalists for news sources canada.com (Solomon, 2007b), National Geographic News (Ravillious, 2007), and LiveScience (Than, 2007) reported on the story of warming on Mars. In these articles, Abdussamatov was quoted. He stated that warming on Mars was evidence that global warming on Earth was being caused by changes in the sun.
Ravillious (2007) quoted two scientists who disagreed with Abdussamatov: Amato Evan, a climate scientist at the University of Wisconsin-Madison, in the US, and Colin Wilson, a planetary physicist at Oxford University in the UK. According to Wilson, "Wobbles in the orbit of Mars are the main cause of its climate change in the current era" (see also orbital forcing). Than (2007) quoted Charles Long, a climate physicist at Pacific Northwest National Laboratories in the US, who disagreed with Abdussamatov.
Than (2007) pointed to the view of Benny Peiser, a social anthropologist at Liverpool John Moores University in the UK. In his newsletter, Peiser had cited a blog that had commented on warming observed on several planetary bodies in the Solar system. These included Neptune's moon Triton, Jupiter, Pluto and Mars. In an e-mail interview with Than (2007), Peiser stated that:
"I think it is an intriguing coincidence that warming trends have been observed on a number of very diverse planetary bodies in our solar system, (...) Perhaps this is just a fluke."
Than (2007) provided alternative explanations of why warming had occurred on Triton, Pluto, Jupiter and Mars.
The US Environmental Protection Agency (US EPA, 2009) responded to public comments on climate change attribution. A number of commenters had argued that recent climate change could be attributed to changes in solar irradiance. According to the US EPA (2009), this attribution was not supported by the bulk of the scientific literature. Citing the work of the IPCC (2007), the US EPA pointed to the low contribution of solar irradiance to radiative forcing since the start of the Industrial Revolution in 1750. Over this time period (1750 to 2005), the estimated contribution of solar irradiance to radiative forcing was 5% the value of the combined radiative forcing due to increases in the atmospheric concentrations of carbon dioxide, methane and nitrous oxide (see graph opposite).
Effect of cosmic rays
Henrik Svensmark has suggested that the magnetic activity of the sun deflects cosmic rays, and that this may influence the generation of cloud condensation nuclei, and thereby have an effect on the climate. The website ScienceDaily reported on a 2009 study that looked at how past changes in climate have been affected by the Earth's magnetic field. Geophysicist Mads Faurschou Knudsen, who co-authored the study, stated that the study's results supported Svensmark's theory. The authors of the study also acknowledged that CO2 plays an important role in climate change.
Consensus view on cosmic rays
[..] the cosmic ray time series does not appear to correspond to global total cloud cover after 1991 or to global low-level cloud cover after 1994. Together with the lack of a proven physical mechanism and the plausibility of other causal factors affecting changes in cloud cover, this makes the association between galactic cosmic ray-induced changes in aerosol and cloud formation controversial
Studies by Lockwood and Fröhlich (2007) and Sloan and Wolfendale (2008) found no relation between warming in recent decades and cosmic rays. Pierce and Adams (2009) used a model to simulate the effect of cosmic rays on cloud properties. They concluded that the hypothesized effect of cosmic rays was too small to explain recent climate change. Pierce and Adams (2009) noted that their findings did not rule out a possible connection between cosmic rays and climate change, and recommended further research.
Erlykin et al. (2009) found that the evidence showed that connections between solar variation and climate were more likely to be mediated by direct variation of insolation rather than cosmic rays, and concluded: "Hence within our assumptions, the effect of varying solar activity, either by direct solar irradiance or by varying cosmic ray rates, must be less than 0.07 °C since 1956, i.e. less than 14% of the observed global warming." Carslaw (2009) and Pittock (2009) review the recent and historical literature in this field and continue to find that the link between cosmic rays and climate is tenuous, though they encourage continued research. US EPA (2009) commented on research by Duplissy et al. (2009):
The CLOUD experiments at CERN are interesting research but do not provide conclusive evidence that cosmic rays can serve as a major source of cloud seeding. Preliminary results from the experiment (Duplissy et al., 2009) suggest that though there was some evidence of ion mediated nucleation, for most of the nucleation events observed the contribution of ion processes appeared to be minor. These experiments also showed the difficulty in maintaining sufficiently clean conditions and stable temperatures to prevent spurious aerosol bursts. There is no indication that the earlier Svensmark experiments could even have matched the controlled conditions of the CERN experiment. We find that the Svensmark results on cloud seeding have not yet been shown to be robust or sufficient to materially alter the conclusions of the assessment literature, especially given the abundance of recent literature that is skeptical of the cosmic ray-climate linkage
Earlier climate changes
Factors other than increased CO2 concentrations can initiate warming or cooling episodes (see, e.g., orbital forcing). The ice core record shows that on some occasions temperature starts rising hundreds of years before CO2 increases.[clarification needed] Such results confirm that the relationship between CO2 and climate can go in both directions: changes in CO2 concentrations can affect climate, while changes in climate can affect CO2 concentrations. One proposed mechanism for this effect is increased release of sequestered CO2 from oceans as circulation patterns shift, perhaps abruptly, in response to climate change.
A more speculative and polemical inference sometimes drawn is that the causal relationship between temperature rises and global CO2 concentrations is only one-way, so that historical increases in CO2 have been nothing more than the product of independently rising temperatures. However, a strictly "one-way" view of the relationship between CO2 and temperature contradicts basic results in physics, specifically the fact that the absorption and emission of infrared radiation by CO2 increases as its atmospheric concentration increases.
First principles as well as empirical observation suggest that positive feedbacks from CO2 concentrations amplify warming initially caused by other factors:
Close analysis of the relationship between the two curves [i.e., temperature and CO2] shows that, within the uncertainties of matching their timescales, the temperature led by a few centuries. This is expected, since it was changes in the Earth's orbital parameters (including the shape of its orbit around the Sun, and the tilt of Earth's axis) that caused the small initial temperature rise. This then raised atmospheric CO2 levels, in part by outgassing from the oceans, causing the temperature to rise further. By amplifying each other's response, this "positive feedback" can turn a small initial perturbation into a large climate change. There is therefore no surprise that the temperature and CO2 rose in parallel, with the temperature initially in advance. In the current case, the situation is different, because human actions are raising the CO2 level, and we are starting to observe the temperature response.
Present CO2 levels greatly exceed the range found in the ice core data. Isotopic analysis of atmospheric CO2 confirms that fossil fuel burning is the source of most of the CO2 increase, unlike during prior interglacial periods. As noted above, models that include increased CO2 levels when simulating recent climate match the observed data far better than those that do not.
Internal climate variability and global warming
One of the issues that has been raised in the media is the view that global warming "stopped in 1998". This view ignores the presence of internal climate variability, an example of which is the El Niño-Southern Oscillation (ENSO). The El Niño in 1998 was particularly strong, possibly one of the strongest of the 20th century.
Cooling between 2006 and 2008, for instance, has likely been driven by La Niña, the opposite of El Niño conditions. The area of cooler-than-average sea surface temperatures that defines La Niña conditions can push global temperatures downward, if the phenomenon is strong enough. Even accounting for the presence of internal climate variability, recent years rank among the warmest on record. For example, every year of the 2000s was warmer than the 1990 average.
Another example of internal climate variability is the Atlantic Multi-decadal Oscillation (AMO), which is an alternating pattern of heat-distributing ocean circulation that brings warmed waters from the tropics to high latitudes. One cycle of the oscillation takes about 65 to 70 years. Over that time, the amount of heat moved northward along the western side of the North Atlantic Ocean varies, increasing and decreasing temperatures in the North Atlantic Ocean and the surrounding continental margins.
Although not directly dictated by this decades-long phenomenon, global temperatures are influenced by the oscillation, just as average temperatures can be driven up or down by El Niño and La Niña events. The transport of such a massive quantity of heat helps explain some counter-intuitive temperature trends during the twentieth century. Despite the increase in greenhouse gas concentrations that began in the mid-1800s, between 1850 and 1900, global temperatures showed little significant change. Between 1900 and 1940, temperatures rose. After 1940, temperatures declined for 35 years. According to Michael Schlesinger, of the University of Illinois at Urbana-Champaign, the Atlantic Multi-decadal Oscillation helps to explain the lack of a direct correlation between CO2 concentrations and global temperatures over this time period.
David Easterling (Chief of the Scientific Services Division at NOAA's National Climatic Data Center) and co-author Michael Wehner have examined observed temperatures and model simulations of future temperatures. For observed temperatures, Easterling relied on a data set generated by NOAA's National Climatic Data Center, incorporating globally averaged surface air temperatures from 1901 to 2008. In that data set, he found two periods—1977 to 1985 and 1981 to 1989—that showed slight cooling, similar to what appears in the Hadley Centre's data set from 1998 to 2008.
For model simulations, Easterling used a database of predicted temperatures, validated by its ability to retroactively "predict" temperatures for years past. He assumed a "business-as-usual" scenario in terms of greenhouse gas emissions, with little future reduction. When projecting temperatures for the twenty-first century, he found two more periods—2001 to 2010 and 2016 to 2031—that showed no trend, again similar to 1998 to 2008. Every one of these no-trend periods occurred against a backdrop of rising temperatures.
Projected impacts of internal climate variability
Easterling's finding that natural variability can cause short-term cooling, or no-trend periods within longer-term warming, correlates with other predictions about future temperatures. In May 2008, a group of climate modelers in Germany published projections that incorporated current understanding of natural cycles to make a climate forecast for the next decade. The group forecast that global surface temperatures might not increase much over the next decade (2010–2020), as cooling driven by natural variability offsets human-caused warming. After a decade or so of stability, however, the model indicates that temperatures would begin to rise.
In contrast, the UK Met Office predicted warming beginning in a few years from 2009. Both groups, however, agreed that after a short period of negative or no trend in the early 2000s, global temperatures would begin to rise, perhaps quickly. In other words, the no-trend period in the Hadley Centre's data set is consistent with what climatologists have predicted.
List of scientific organizations that support the consensus
The following scientific organizations support the view that human activities have contributed to observed climate change:
- Academia Chilena de Ciencias, Chile
- Academia das Ciencias de Lisboa, Portugal
- Academia de Ciencias de la República Dominicana
- Academia de Ciencias Físicas, Matemáticas y Naturales de Venezuela
- Academia de Ciencias Medicas, Fisicas y Naturales de Guatemala
- Academia Mexicana de Ciencias,Mexico
- Academia Nacional de Ciencias de Bolivia
- Academia Nacional de Ciencias del Peru
- Académie des Sciences et Techniques du Sénégal
- Académie des Sciences, France
- Academies of Arts, Humanities and Sciences of Canada
- Academy of Athens
- Academy of Science of Mozambique
- Academy of Science of South Africa
- Academy of Sciences for the Developing World (TWAS)
- Academy of Sciences Malaysia
- Academy of Sciences of Moldova
- Academy of Sciences of the Czech Republic
- Academy of Sciences of the Islamic Republic of Iran
- Academy of Scientific Research and Technology, Egypt
- Academy of the Royal Society of New Zealand
- Accademia Nazionale dei Lincei, Italy
- Africa Centre for Climate and Earth Systems Science
- African Academy of Sciences
- Albanian Academy of Sciences
- Amazon Environmental Research Institute
- American Academy of Pediatrics
- American Anthropological Association
- American Association for the Advancement of Science
- American Association of State Climatologists (AASC)
- American Association of Wildlife Veterinarians
- American Astronomical Society
- American Chemical Society
- American College of Preventive Medicine
- American Fisheries Society
- American Geophysical Union
- American Institute of Biological Sciences
- American Institute of Physics
- American Meteorological Society
- American Physical Society
- American Public Health Association
- American Quaternary Association
- American Society for Microbiology
- American Society of Agronomy
- American Society of Civil Engineers
- American Society of Plant Biologists
- American Statistical Association
- Association of Ecosystem Research Centers
- Australian Academy of Science
- Australian Bureau of Meteorology
- Australian Coral Reef Society
- Australian Institute of Marine Science
- Australian Institute of Physics
- Australian Marine Sciences Association
- Australian Medical Association
- Australian Meteorological and Oceanographic Society
- Bangladesh Academy of Sciences
- Botanical Society of America
- Brazilian Academy of Sciences
- British Antarctic Survey
- Bulgarian Academy of Sciences
- California Academy of Sciences
- Cameroon Academy of Sciences
- Canadian Association of Physicists
- Canadian Foundation for Climate and Atmospheric Sciences
- Canadian Geophysical Union
- Canadian Meteorological and Oceanographic Society
- Canadian Society of Soil Science
- Canadian Society of Zoologists
- Caribbean Academy of Sciences views
- Center for International Forestry Research
- Chinese Academy of Sciences
- Colombian Academy of Exact, Physical and Natural Sciences
- Commonwealth Scientific and Industrial Research Organization (CSIRO) (Australia)
- Consultative Group on International Agricultural Research
- Croatian Academy of Arts and Sciences
- Crop Science Society of America
- Cuban Academy of Sciences
- Delegation of the Finnish Academies of Science and Letters
- Ecological Society of America
- Ecological Society of Australia
- Environmental Protection Agency
- European Academy of Sciences and Arts
- European Federation of Geologists
- European Geosciences Union
- European Physical Society
- European Science Foundation
- Federation of American Scientists
- French Academy of Sciences
- Geological Society of America
- Geological Society of Australia
- Geological Society of London
- Georgian Academy of Sciences
- German Academy of Natural Scientists Leopoldina
- Ghana Academy of Arts and Sciences
- Indian National Science Academy
- Indonesian Academy of Sciences
- Institute of Ecology and Environmental Management
- Institute of Marine Engineering, Science and Technology
- Institute of Professional Engineers New Zealand
- Institution of Mechanical Engineers, UK
- InterAcademy Council
- International Alliance of Research Universities
- International Arctic Science Committee
- International Association for Great Lakes Research
- International Council for Science
- International Council of Academies of Engineering and Technological Sciences
- International Research Institute for Climate and Society
- International Union for Quaternary Research
- International Union of Geodesy and Geophysics
- International Union of Pure and Applied Physics
- Islamic World Academy of Sciences
- Israel Academy of Sciences and Humanities
- Kenya National Academy of Sciences
- Korean Academy of Science and Technology
- Kosovo Academy of Sciences and Arts
- l'Académie des Sciences et Techniques du Sénégal
- Latin American Academy of Sciences
- Latvian Academy of Sciences
- Lithuanian Academy of Sciences
- Madagascar National Academy of Arts, Letters, and Sciences
- Mauritius Academy of Science and Technology
- Montenegrin Academy of Sciences and Arts
- National Academy of Exact, Physical and Natural Sciences, Argentina
- National Academy of Sciences of Armenia
- National Academy of Sciences of the Kyrgyz Republic
- National Academy of Sciences, Sri Lanka
- National Academy of Sciences, United States of America
- National Aeronautics and Space Administration
- National Association of Geoscience Teachers
- National Association of State Foresters
- National Center for Atmospheric Research
- National Council of Engineers Australia
- National Institute of Water & Atmospheric Research, New Zealand
- National Oceanic and Atmospheric Administration
- National Research Council
- National Science Foundation
- Natural England
- Natural Environment Research Council, UK
- Natural Science Collections Alliance
- Network of African Science Academies
- New York Academy of Sciences
- Nicaraguan Academy of Sciences
- Nigerian Academy of Sciences
- Norwegian Academy of Sciences and Letters
- Oklahoma Climatological Survey
- Organization of Biological Field Stations
- Pakistan Academy of Sciences
- Palestine Academy for Science and Technology
- Pew Center on Global Climate Change
- Polish Academy of Sciences
- Romanian Academy
- Royal Academies for Science and the Arts of Belgium
- Royal Academy of Exact, Physical and Natural Sciences of Spain
- Royal Astronomical Society, UK
- Royal Danish Academy of Sciences and Letters
- Royal Irish Academy
- Royal Meteorological Society (UK)
- Royal Netherlands Academy of Arts and Sciences
- Royal Netherlands Institute for Sea Research
- Royal Scientific Society of Jordan
- Royal Society of Canada
- Royal Society of Chemistry, UK
- Royal Society of the United Kingdom
- Royal Swedish Academy of Sciences
- Russian Academy of Sciences
- Science and Technology, Australia
- Science Council of Japan
- Scientific Committee on Antarctic Research
- Scientific Committee on Solar-Terrestrial Physics
- Scripps Institution of Oceanography
- Serbian Academy of Sciences and Arts
- Slovak Academy of Sciences
- Slovenian Academy of Sciences and Arts
- Society for Ecological Restoration International
- Society for Industrial and Applied Mathematics
- Society of American Foresters
- Society of Biology, UK
- Society of Systematic Biologists
- Soil Science Society of America
- Sudan Academy of Sciences
- Sudanese National Academy of Science
- Tanzania Academy of Sciences
- The Wildlife Society (international)
- Turkish Academy of Sciences
- Uganda National Academy of Sciences
- Union of German Academies of Sciences and Humanities
- United Nations Intergovernmental Panel on Climate Change
- University Corporation for Atmospheric Research
- Woods Hole Oceanographic Institution
- World Association of Zoos and Aquariums
- World Federation of Public Health Associations
- World Forestry Congress
- World Health Organization
- World Meteorological Organization
- Zambia Academy of Sciences
- Zimbabwe Academy of Sciences
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