Climate Models, Catastrophe Scenarios and the Imaginary Climate Crisis
There is a canyon of difference between the IPCC science report and the climate crisis narrative. There is no compelling scientific evidence of a human-caused climate crisis or emergency.
The term 'climate crisis' is nowadays a frequent feature in politicians' speeches and in the media, the 'mitigation' of which is said to require society to achieve zero carbon emissions or at least Net Zero. However, we do not find a definition of this arguably existential threat to humanity in the expected concentrate of current climate science, i.e. the reports of the UN's Intergovernmental Panel on Climate Change (IPCC). On the contrary, the latest Assessment Report AR6 (from 2021), prepared by the Scientific Basis for Climate Change Working Group (WG1), a 2,409-page volume entitled "Climate Change 2021. The Physical Science Basis",1 points out that the media's treatment of climate change has moved away from the neutral position, adopting and promoting terms like "climate crisis", "global heating" and "climate emergency ".2 Such a statement by the IPCC should leave no doubt that the concept of ongoing "climate crisis" is a joint product of climate activists and the click-hungry media, lacking a solid scientific basis. The term is also absent from the European Union's Climate Change Act of 20213, even though the European Parliament already declared a climate and environmental emergency in November 2019.
A certain amount of warming of our planet's climate can indeed be detected if one chooses a suitable starting point in the time series of recent temperatures, for example, by comparing the present state to the times at the end of the Little Ice Age around 1850, or 1880, or even the cooler period between 1944 and 1976.4 The reasons of cooling in the mid-20th century have not yet been fully explained, considering that the concentration of carbon dioxide in the atmosphere had already been increasing by that time, as were the anthropogenic CO2 emissions. The period suggests that there is no strict correlation between the increase in CO2 and temperature, and hence no causality, as has already been demonstrated in paleoclimatology5. The estimates of temperature increase would be even somewhat milder if the starting point of the time series were to be set at the intense 1877/1878 episode of El NiƱo6, the tropical weather phenomenon that caused 'the year without a winter'7 of elevated global temperatures. However, looking back over the millennia, the hypothesis of an unprecedented warming of our times is rebutted by the Medieval and Roman warm periods, not to mention the Holocene Climate Optimum of around 6,000 years ago.8
Periods of rapid warming comparable to the present have also occurred in the past, some of them classified as Dansgaard-Oeschger9 events of unknown cause. Despite the decades-long bias in climate science cited by many scientists, studying the links between future climate trends and human impacts remains necessary, as well as attempts to model the future. Research of the coming years will show whether the warming recorded in 2023 was caused by a convergence of three factors, as many scientists have assumed: the proximity of the peak of the 25th cycle of solar activity, the strong tropical weather event El NiƱo, and the known record amount of water vapour injected into the stratosphere by the underwater volcanic eruption of Hunga Tonga-Hunga Ha'apai. The impact of anthropogenic CO2 has been small and continuous, and could not have caused such rapid warming. An undisputed fact seems to be that the Earth has been significantly warmer than today for most of the latest 500 million years10, probably warmer than reasonable projections for 2100, and it has not triggered any irreversible tipping points in the climate system.
Condensing temperature differences relative to a reference period all over the planet into a single artificial value called the global mean surface temperature anomaly, and then tracking it within a hundredth of a degree has been criticised by many scientists due to uncertainties in measurement and homogenization. While there may be sufficient amounts of measurement data available from different regions of the planet today, many of them are arguably biased by the urban heat island effect of global impact11, and there are some creative elements in adjusting the past temperature record. When we look beyond that single number, the picture across all climate zones may be nowhere near as scary as the catastrophe announcements in the media suggest. For instance, data collected by NASA's AIRS satellites and published monthly on the website of Dr. Ole Humlum, professor emeritus of geography at the University of Oslo, show that July 2023, dubbed the 'Earth's hottest month on record', may have had almost the same number of warmer and cooler regions in the world in comparison with the time one decade earlier. Old newspapers do not allow us to forget the extreme weather conditions of almost a century ago, which make the past yearās summer pale in comparison.
Climate modellers' club gravitating towards heat
In the IPCC Third Assessment Report (TAR), WG1 concluded that 'the climate system is a coupled non-linear chaotic system, and therefore the long-term prediction of future climate states is not possibleā; 'the focus must be upon the prediction of the probability distribution of the systemās future possible states by the generation of ensembles of model solutions.'12 In essence, scientists in different countries create their own climate models (the Atmosphere-Ocean Coupled General Circulation Model AOGCM, or GCM) to calculate projections of temperature, precipitation, and other climate parameters, the outputs of which are then jointly compared in the hope that the average of all the representatives of the model family can provide reliable information. To this end, the Coupled Model Intercomparison Project (CMIP) has been launched, with the results of the most recently compared model family CMIP6 providing input to the IPCC's most recent AR6 report. Although the horizontal resolution of climate models has so far been modest ā simulations have typically used a 100 x 100 km grid ā, due to a large number of parameters, dozens of vertical layers, and complex algorithms, the model calculation results have taken a long time to be produced, requiring months for runs.
Scientists in different countries have widely differing views on the magnitude of the additional greenhouse effect due to carbon dioxide added to the atmosphere by human activities. The Equilibrium Climate Sensitivity (ECS), the temperature rise in degrees Celsius in a new equilibrium after the concentration of CO2 in the atmosphere doubles, is a key parameter for models. Depending on the origin of the model, it may vary in magnitude by several times, not by mere decimal places. There seems to be no consensus on this point: while the Russian climate scientists who created the INM-CM4-8 model are convinced that a proper ECS is 1.8Ā°C, the Chinese model CAMS-CSM1-0 uses 2.3Ā°C, the Norwegian NorESM2-LM 2.5Ā°C, Japan's MIROC6 uses 2.6 ĀŗC, and the US NASA GISS-E2-1-G uses 2.7 ĀŗC, while the US NCAR model CESM2 uses an ECS of 5.2 ĀŗC, the UK HadGEM3-GC31-LL uses 5.5 ĀŗC, and the Canadian model CanESM5 uses 5.6 ĀŗC (McKitrick & Christy, 2020).13 In light of such divergent results, even the IPCC's expectations of climate models as predictors have somewhat diminished after decades of model development ā there has been no convergence of ECS values.14
Already in 2017, Dr. John R. Christy, a climate scientist at the University of Alabama in the US, demonstrated to the US House Committee on Science, Space, and Technology that there is significant bias amongst the vast majority of the representatives of the previous model family CMIP5, as well as on the average, towards excessive warming relative to observational data.15 āAs such, the average of the models is considered to be untruthful in representing the recent decades of climate variation and change, and thus would be inappropriate for use in predicting future changes in the climate or for related policy decisions,ā he concluded.
The warming bias of the current CMIP6 family of models has also been addressed by the modellers themselves, who have called some of the temperatures predicted by the models āinsanely scary and wrongā.16 An article by Dr. Zeke Hausfather et al. in the worldās leading science journal Nature in May 2022 warned that some of the latest climate models are 'too hot' and are predicting climate warming in response to CO2 emissions larger than supported by other evidence. It was also noted that already published research findings claiming that the impacts of climate change will be āworse than we thoughtā are often attributable to the CMIP6ās āhotā models.17 The inability to generate credible future projections can be seen as evidence that modellers lack a correct and complete understanding of the nature of climate processes. In particular, they are criticised for their inadequate treatment of the effects of the Sun, clouds, and volcanic activity. Scientists who feed the crisis narrative generally avoid direct debate, but in a few public debates that have been held, scientists from the climate realist camp have presented more convincing arguments (2018, 2023). Dissenting voices are mostly suppressed or ignored, with activists consistently trying to label them as 'paid by the fossil fuel industry' or even 'flat-Earthers', not qualifying as a climate scientist being a minor charge. Surely, it canāt be that a physics Nobel laureate might be able to understand the nuances of climate science and express credible critical opinions on the matter ā for, after all, he is not a certified climate scientist?
Dr. Roy W. Spencer, a US climate scientist with a background working at NASA, compared the predictions of the latest generation of climate models with the observational record to date and found that over the period of 1979-2022, the global warming predicted in average by the CMIP6 family of models exceeded the meteorological balloon record by 43% and the satellite record by 75%. In addition to the large differences in temperature projections between the results of the models developed by climate scientists in different countries, the models assumed that there are no natural drivers of long-term changes in the climate system other than anthropogenic greenhouse gases. These facts are not mentioned when climate model projections are used as a basis of policy making. After a brief review of other relevant drivers, Dr. Spencer summarizes the article by stating: āGiven these uncertainties, policymakers should proceed cautiously and not allow themselves to be influenced by exaggerated claims based on demonstrably faulty climate models.ā18
Scenarists and directors
One of the inputs for climate models is the scenarios of the time series of future human carbon emissions, which allow a choice to be made between assuming a low, medium, or increasing fossil fuel consumption future during model runs. The four emission scenarios used so far in the previous generation were generically referred to as Representative Concentration Pathway (RCP); they were distinguished by the radiative forcing predicted for the year 2100, shown after the abbreviations. For example, the most extreme scenario, RCP8.5, which assumes the highest carbon dioxide emissions, if realised by 2100, would lead to an increase in the greenhouse effect by 8.5 W/m2 compared to the year 1750, due to an increase in the proportion of greenhouse gases in the atmosphere, with possible accompanying phenomena. The lowest scenario, RCP2.6, would lead to an increase of only 2.6 W/m2.
In 2021, the IPCC estimated the magnitude of the greenhouse effect in the atmosphere to be 159 W/m2, with water vapour as the most abundant greenhouse gas accounting for 75% of it. Remarkably, IPCC is fully aware of the fact that the El NiƱo Southern Oscillation (ENSO) strong warm phase events can double or even triple the otherwise modest monthly CO2 growth rates19 which tend to follow the ENSO-related temporary temperature rise. Reading in the AR6 WG1 report that the fraction of anthropogenic CO2 emissions that have accumulated in the atmosphere has remained near constant over the past six decades does not trigger imaginary sirens of a human-caused climate crisis either20.
The five emission scenarios of the current generation are referred to as Shared Socioeconomic Pathway (SSP); preceding the numerical value of radiative forcing, their abbreviation is followed by a number indicating the severity from one to five, e.g. SSP5-8.5, reflective of fossil fuel-based development, replacing a previous scenario RCP8.5. The implausibility of both of these scenarios has already been pointed out by the IPCC in its AR6 report, which foresees their use in studies as an extreme case that still cannot be ruled out rather than as a ābusiness-as-usualā reference baseline.21 Experts have calculated that in order to achieve the corresponding impacts, at least one new coal-fired power plant would have to be commissioned somewhere in the world every single day until 2100. However, articles with alarming research results based on the RCP8.5 scenario continue to be published at a rate of around 25 per day. At the same time, Table 12.12 in Section 12.5.2 of the IPCC AR6 WG1 report leaves no doubt whatsoever that there is low confidence in the occurrence of most of the extreme weather events such as floods, tornadoes, droughts, wildfires, etc as emerging climate change signal by the end of the century in 2100 even under the extreme CO2 emission scenarios RCP8.5/SSP5-8.5.22 Perhaps it is needless to remind that such weather events are already predominantly attributed to anthropogenic global warming in the media without following the attribution analysis process foreseen by the IPCC.
A new set of emission scenarios is also planned to be developed for the CMIP7 family of models in preparation for the forthcoming IPCC AR7 report, for which the new extreme emission scenario will have a lower radiative forcing than RCP8.5, closer to 7 W/m2, as can be expected based on the minutes of the first ScenarioMIP workshop. This is a step away from providing tools for forecasting regular catastrophes; nevertheless, according to US climate scientist Roger Pielke Jr23, a plausible extreme scenario should have an even lower impact, as the world is already on a lower trajectory of emissions than RCP4.5. That would result in projections of a moderate and safe warming of the climate, which would not justify the need to intervene in peopleās way of life and the economy with radical net-zero emission policies, as Dr. Nicola Scafetta, a climate scientist from Italy, concludes in his article.24 Although the IPCC does not explicitly recommend it, the recipe for cooking up a 'climate crisis' has so far been to take one of the 'hot' climate models, use it in conjunction with an extreme emissions scenario, and feed the results painting an "insanely scaryā future to some climate activist journalist or an insufficiently informed politician with moderate analytical skills. Dr. Pielke has recently published a thought-provoking blog article25 identifying some of the directors of the RCP8.5 popularization process which provides a few hints about their possible agenda.
There is no doubt that resource efficiency and a reasonably paced circular economy are essential for the balanced development of society, but the costs of implementing climate legislation and pursuing 'climate goals' remain, in the light of the above, more likely than not a waste of resources. Although numerous research results point to natural variability as a dominating driver of climate change, the politically motivated science community supporting the anthropogenic climate crisis narrative is still strong, for the reasons explained by US physicist Dr. William Happer in a recent documentary.26 As pointed out by environmental economics professor Bjƶrn Lomborg, the expected costs of achieving 'Net Zero' could exceed the benefits by more than seven times by 2100, with proposed policy measures comparable to imposing a three-mile-per-hour speed limit on traffic worldwide as an attempt to avoid a total of over one million road deaths per year.27 The costs of climate change adaptation measures could also be inflated when future climate impact estimates are based on 'hot' models and extreme emission scenarios.
It feels fitting to conclude with a quote from one of the official reviewers of the IPCC's third assessment report TAR ā Estonian-born professor from the University of Toronto, Olev TrƤss, said in an interview with an Estonian newspaper Postimees: "The question is if we should reduce carbon dioxide and allocate big money on it ā I would not do that. I am quite convinced, and I feel that I am on the right track with it, that the impact of carbon dioxide is quite minute. The whole scientific community that we're having this debate with, even at the University of Toronto, is largely of the same opinion ā we're convinced that this green agenda is really a fraud." Looking at the growing number of signatures of publicly dissenting scientists under the World Climate Declaration28, it appears substantiated that any state that is secular by the constitution should distance itself from the climate crisis cult, stop listening to scientists selectively and reassess the need for climate targets, abandoning utopian and costly climate action except adaptation, and leaving the humanity on the path of decarbonisation spurred by advances in science and technology, paced by depoliticised market pull.
1āClimate Change 2021 ā The Physical Science Basis. Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Changeā. https://doi.org/10.1017/9781009157896
2IPCC report AR6 WG1, pp 173: āAlso, some media outlets have recently adopted and promoted terms and phrases stronger than the more neutral āclimate changeā and āglobal warmingā, including āclimate crisisā, āglobal heatingā, and āclimate emergencyā ā¦ ā
3REGULATION (EU) 2021/1119 OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL of 30 June 2021 establishing the framework for achieving climate neutrality and amending Regulations (EC) No 401/2009 and (EU) 2018/1999 (āEuropean Climate Lawā)
4https://co2coalition.org/facts/co2-rose-after-the-second-world-war-but-temperature-fell/
5"The Sword of Damocles behind the Curtain of the Earthās Global Warming: A Review". Jacques Bourgois, 2024. DOI: 10.4236/ijg.2024.152009
6 āHow Significant Was the 1877/78 El NiƱo?ā, https://journals.ametsoc.org/view/journals/clim/33/11/jcli-d-19-0650.1.xml
7 https://www.dnr.state.mn.us/climate/journal/1877_1878_winter.html
8https://nihk.de/en/research/current-projects/between-the-roman-climate-optimum-and-the-year-without-a-summer-1816
9https://en.wikipedia.org/wiki/DansgaardāOeschger_event
10NOAA: āWhat's the hottest Earth's ever been?ā https://www.climate.gov/news-features/climate-qa/whats-hottest-earths-ever-been
11āSatellite observations reveal a decreasing albedo trend of global cities over the past 35 years.ā Shengbiao Wu, et al., Remote Sensing of Environment, February 2024. DOI:10.1016/j.rse.2024.114003
12IPCC TAR WG I: The Scientific Basis, Chapter 14: Advancing our understanding. Executive Summary. 2001. https://archive.ipcc.ch/ipccreports/tar/wg1/index.php?idp=501 ā©ļø
13āPervasive Warming Bias in CMIP6 Tropospheric Layersā. https://doi.org/10.1029/2020EA001281
14IPCC report AR6 WG1, chpt 7.5.6., pp 1008: āIt is sometimes assumed that parametrization improvements will eventually lead to convergence in model response and therefore a decrease in the model spread of ECS. However, despite decades of model development, increases in model resolution and advances in parametrization schemes, there has been no systematic convergence in model estimates of ECS. In fact, the overall inter-model spread in ECS for CMIP6 is larger than for CMIP5 ā¦ā
15U.S. House Committee on Science, Space & Technology. 29 Mar 2017. Testimony of John R. Christy, Professor of Atmospheric Science, Alabama State Climatologist, University of Alabama in Huntsville
16āAlready scientific papers are appearing using CMIPās unconstrained worst-case scenarios for 2100, adding fire to what are already well-justified fears. But that practice needs to change, Schmidt says. āYou end up with numbers for even the near-term that are insanely scary ā and wrong.āāU.N. climate panel confronts implausibly hot forecasts of future warmingā. Science, 27 July 2021
17āUsers beware: a subset of the newest generation of models are ātoo hotā and project climate warming in response to carbon dioxide emissions that might be larger than that supported by other evidence. ā¦ Findings that show projected climate change will be āworse than we thoughtā are often attributable to the hot models in CMIP6.ā
18Global Warming: Observations vs. Climate Models. Roy W. Spencer, PhD. BACKGROUNDER No. 3809, January 24, 2024
19IPCC report AR6 WG1, pp 689: "The interannual oscillations in monthly mean CO2 growth rates (Figure 5.6b) show a close relationship with the El NiƱoāSouthern Oscillation (ENSO) cycle (Figure 5.6b) due to the ENSO-driven changes in terrestrial and ocean CO2 sources and sinks on the Earthās surface (Section 5.2.1.4)."
20IPCC report AR6 WG1, pp 690: "Over the past six decades, the fraction of anthropogenic CO2 emissions that has accumulated in the atmosphere (referred to as airborne fraction) has remained near constant at approximately 44% (Figure 5.7) (Ballantyne et al., 2012; Ciais et al., 2019; Gruber et al., 2019b; Friedlingstein et al., 2020). This suggests that the land and ocean CO2 sinks have continued to grow at a rate consistent with the growth rate of anthropogenic CO2 emissions, albeit with large interannual and sub-decadal variability dominated by the land sinks (Figure 5.7)."
21IPCC report AR6 WG1, pp 54: āIn the scenario literature, the plausibility of some scenarios with high CO2 emissions, such as RCP8.5 or SSP5-8.5, has been debated in light of recent developments in the energy sector. However, climate projections from these scenarios can still be valuable because the concentration levels reached in RCP8.5 or SSP5-8.5 and corresponding simulated climate futures cannot be ruled out.ā
22Table 12.12 | Emergence of CIDs in different time periods, as assessed in this section. The colour corresponds to the confidence of the region with the highest confidence: white cells indicate where evidence is lacking or the signal is not present, leading to overall low confidence of an emerging signal.
23āPlausible 2005ā2050 emissions scenarios project between 2 Ā°C and 3 Ā°C of warming by 2100ā, R: Pielke Jr et al, 2022, https://iopscience.iop.org/article/10.1088/1748-9326/ac4ebf
24Impacts and risks of ārealisticā global warming projections for the 21st century. Nicola Scafetta. Geoscience Frontiers, Volume 15, Issue 2, March 2024. https://doi.org/10.1016/j.gsf.2023.101774
25āClimate Cookingā, https://rogerpielkejr.substack.com/p/climate-cooking
26āClimate: The Movie (The Cold Truth)ā (1:19:53)
https://www.climatethemovie.net/
27āFollow the Scienceā Leads to Ruin. Climate policy needs to take into account the costs of draconian measures, which are enormous.ā Bjƶrn Lomborg, WSJ 13.03.2024.
I truly appreciate your effort and thoroughness in your reporting.
Excellent analysis. Thank you.