How valid conclusions often lay hidden within research reports, masked by plausible but unjustified conclusions reached in those reports. And how the IPCC institutionalizes such masking errors in climate science.
The Jussim et al. paper provides additional insights that are relevant to the motivated biases in climate change, which become particularly serious and problematic once these biases are institutionalized. Here are additional excerpts from Jussim et al. for the topic I would like to discuss in this post:
“In this paper, we consider how valid conclusions often lay hidden within research reports, masked by plausible but unjustified conclusions reached in those reports. These conclusions do not necessarily involve the use of questionable research practices. Invalid conclusions may be reached based, not on failing to report dropped conditions, failed studies, or nonsignificant analyses, but on selective interpretations of data that highlight researchers’ preferred conclusions while masking more valid ones.”
JC comment: This is basically the problem that I have with the IPCC assessment reports. Deep in the chapters, there is much good information that is reliable, although the reports relatively ignore some topics. The problem is with the conclusions that are reached (particularly in the Summary for Policy Makers), and inflated levels of confidence that are ascribed to these conclusions.
Une croissance du CO2 atmosphérique qui serait exclusivement anthropique est contradictoire avec les observations du carbone 13 dans l’atmosphère (ici). Cet article en 2 parties va montrer qu’il existe également des contradictions avec les observations du carbone 14. Celui-ci est utilisé à des fins de datation jusqu’à 50 000 ans BP (Before Present)et on dispose de nombreuses études (pour calibration) sur son évolution dans l’atmosphère.
La première partie s’intéresse, non pas aux datations, mais à la dilution du carbone 14 que provoque l’ajout de CO2 anthropique (effet SUESS) avant les essais thermonucléaires de 1952-1963. Dans la seconde partie nous verrons que l’évolution du carbone 14 après 1963 est aussi en contradiction avec une croissance du CO2 exclusivement anthropique.
1. Le carbone dans l’atmosphère  
Le carbone existe habituellement sous 3 formes isotopiques : 12C pour ≈ 98.9% , 13C pour ≈ 1.1 % et 14C à l’état de traces (Fig. 1a).
Figure 1a.La seule différence entre CO2 anthropique et CO2 atmosphérique réside dans les proportions du mélange des isotopes: le CO2 anthropique est appauvri en 13C et 14C.L’ajout de CO2 anthropique va modifier, au fil des années, les proportions du mélange isotopique dans l’atmosphère.
(German text translated/edited by P Gosselin)
Was it sloppiness or intent? In the IPCC Summary Report for Policymakers published by the Federal Government in German, the most important statement of the original English report was falsified.
IPCC reports are available as comprehensive status reports and get strongly condensed as reports for policymakers. The latter are not to be taken as IPCC-authorized extracts as the governments concerned are allowed contribute in the writing. As a result, information or formulations from the English IPCC original which do not agree with German politics are often omitted in the German IPCC reports for policymakers. This is popularly called censorship. As a result of such falsifications, the status reports and the corresponding reports for policymakers are often contradiction.
Key finding deleted from Summary for Policymakers
One example in the past was the famous Chapter 2.6 of the AR5 Report, in which the IPCC explained in detail that no increase in extreme weather events could be found in climate periods (about 30 years) from 1950 onwards (beginning of more extensive measurements and statistics). EIKE reported on this. But in the accompanying German IPCC report for policymakers, this IPCC finding, which is hardly trivial, was nowhere to be seen.
A leading climatologist has said that the computer simulations that are used to predict global warming are failing on a key measure of the climate today and cannot be trusted.
Speaking to a meeting in the Palace of Westminster in London, Professor John Christy of the University of Alabama in Huntsville told MPs and peers that almost all climate models have predicted rapid warming at high altitudes in the tropics:
A paper outlining Dr. Christy’s key findings is published today by the Global Warming Policy Foundation.
When a journalist thinks for herself about climate change, insults and fabrications follow.
Two days ago I reported that a Washington, DC organization called the Government Accountability Project is smearing me on its website. I explained that PR firms target non-conformist climate reporting in an attempt to police what journalists say.
This story begins with a September 2013 opinion piece written by me and published in the Wall Street Journal. It concerned the Intergovernmental Panel on Climate Change (IPCC), and was headlined:
Within hours, a Rockefeller Foundation funded entity called Climate Nexus released an error-riddled 600-word rebuttal that now resides on the Government Accountability Project’s official-looking website. An organization with ‘accountability’ in its name is smearing me by reprinting material whose actual author remains in the shadows, anonymous to this day.
Line by line, over the course of two blog posts, I will now respond to this collection of factual errors and lazy insults. Let us begin with the first sentence:
Apparently, the new strategy to fight climate change is shock therapy. It’s like today’s environmental crusaders are channeling the Ramones song “Gimme Gimme Shock Treatment.” Here are some illustrations.
Shock treatment is for extreme measures. But take, for example, this Dr. Willie Soon plot of solar irradiance (a measure of solar energy) vs. water vapor:
Water vapor is the number-one greenhouse gas. So it’s no secret what temperatures do when water vapor increases.
Newly published data gathered by NASA’s AIRS satellite confirm the Earth is warming more slowly than has been forecast by climate activists and the United Nations Intergovernmental Panel on Climate Change (IPCC). Data gathered from 2003 through 2017 confirm temperatures remained essentially flat from 2003 through 2015, finally rising briefly as a strong El Nino formed in 2015 and lasted into 2016 (https://ggweather.com/enso/oni.htm). Even with El Nino adding an illusory warming spike at the end of the period, temperatures still rose just over 0.2 degrees during the 15-year period. That pace works out to less than 1.5 degrees of warming per century.
IPCC initial forecasts called for 0.3 degrees Celsius of warming per decade, while skeptic forecasts have tended to hover around 0.1 degrees. As temperatures warmed more slowly than IPCC predicted, IPCC reduced its forecasts to meet skeptics in the middle, moving to a predicted 0.2 degrees warming per decade. Even so, the newly published data indicate IPCC continues to forecast more warming than real-world data indicate.
Réduire le réchauffement global sur Terre de 1,5° ? Dans un récent rapport, le Giec échafaude quatre scénarios pour y parvenir. Mais aucun d’eux ne tient la route.
es quatre scénarios mettent en œuvre à des degrés divers les techniques dites de Carbon Dioxide Removal (CDR), qui compensent les émissions humaines de CO2. Écoutons les experts « scientifiques » du GIEC — dont la plupart ne sont pas scientifiques. Lisons les experts du GIEC :
Are values of equilibrium climate sensitivity > 4.5 C plausible?
For background, see these previous posts on climate sensitivity [link]
Here are some possibilistic arguments related to climate sensitivity. I don’t think the ECS example is the best one to illustrate these ideas [see previous post], and I probably won’t include this example in anything I try to publish on this topic (my draft paper is getting too long anyways). But possibilistic thinking does point you in some different directions when pondering the upper bound of plausible ECS values.
5. Climate sensitivity
Equilibrium climate sensitivity (ECS) is defined as the amount of temperature change in response to a doubling of atmospheric CO2 concentrations, after the climate system has reached equilibrium. The issue with regards to ECS is not scenario discovery; rather, the challenge is to clarify the upper bounds of possible and plausible worst cases.
The IPCC assessments of ECS have focused on a ‘likely’ (> 66% probability) range, which has mostly been unchanged since Charney et al. (1979), to be between 1.5 and 4.5 oC. The IPCC AR4 (2007) did not provide any insight into a worst-case value of ECS, stating that values substantially higher than 4.5 oC cannot be excluded, with tail values in Figure 9.20 exceeding 10 oC. The IPCC AR5 (2013) more clearly defined the upper range, with a 10% probability of exceeding 6 oC.
Since the IPCC AR5, there has been considerable debate as to whether ECS is on the lower end of the likely range (e.g., < 3 oC) or the higher end of the likely range (for a summary, see Lewis and Curry, 2018). The analysis here bypasses that particular debate and focuses on the upper extreme values of ECS.
The IPCC’s AR5 estimated the global warming caused by a tonne of livestock methane would be 28 times that of a tonne of carbon dioxide. New research destroys that estimate.
The war on meat has been gathering pace amongst our Western elites. The Economist makes a detailed case for “plant-based food” in the interests of quelling climate change –
The FAO calculates that cattle generate up to two-thirds of the greenhouse gases from livestock, and are the world’s fifth largest source of methane. If cows were a country, the United Herds of Earth would be the planet’s third largest greenhouse-gas emitter.
These calculations are based on figures supplied by the IPCC’s AR5, which contends that the global warming potential (GWP) of methane over 100 years is no less than 28 times the global warming it expects to be caused by an equivalent weight of carbon dioxide. This estimate is up from the GWP of 21 put forward in the IPCC’s previous report.
All this is now challenged by a new and authoritative research paper, Allen et al (2017): “A solution tothe misrepresentations of CO2-equivalent emissions of short-lived climate pollutants, under ambitious mitigation”. This paper finds that conventional GWPs misrepresent the impact of short-lived gases (such as methane) on global temperature – and recommends the adoption of a new metric, denoted as GWP*.
Il ne se passe pas une journée sans que l’on entende ou lise dans les médias que le climat est “déréglé” et qu’il y a de plus en plus d’évènements climatiques extrêmes. Et de nombreux scientifiques semblent penser la même chose. Par exemple, une pétition publiée fin janvier 2019 et signée par 3400 scientifiques belges, déclare au point 3 : “Le seul réchauffement actuel de 1°C entraîne déjà une augmentation de l’occurrence et de l’intensité des extrêmes climatiques tels que les canicules, les sécheresses ou encore les inondations.” Aucune référence n’est malheureusement donnée par les signataires de la pétition… Ces phénomènes climatiques sont-ils exagérés? Consultons donc le dernier rapport du GIEC, l’AR5 publié en 2013, et particulièrement le chapitre 2 qui traite des évènements climatiques extrêmes (depuis 2013, le GIEC n’a plus rien publié d’aussi complet sur le sujet). Préparez-vous à être surpris!
Figure 1. Extrait de la Table SPM.1 concernant les évènements climatiques extrêmes dans le résumé pour décideurs du rapport AR5 du GIEC. Sur 9 phénomènes climatiques extrêmes seulement 5 sont présentés dans la table par le GIEC. Le texte noir sont des conclusions tirées par l’AR5. Les textes en rouge et en bleu sont des conclusions plus anciennes (AR4 et rapport SREX). A droite, “OK Ch.2” indique que le résumé est correct par rapport au texte; le triangle rouge “attention”, indique que des informations importantes sont manquantes et peuvent induire en erreur.
Climate models play a central role in the attribution of global warming or climate change to human causes. The standard argument takes the following form: “We can get the model to do X, using human causes, but not without them, so human causes must be the cause of X.” A little digging reveals that this is actually a circular argument, because the models are set up in such a way that human causes are the only way to get change.
The finding is that humans are the cause of global warming and climate change is actually the assumption going in. This is circular reasoning personified, namely conclude what you first assume.
This circularity can be clearly seen in what many consider the most authoritative scientific report on climate change going, although it is actually just the most popular alarmist report. We are talking about the Summary for Policymakers (SPM), of the latest assessment report (AR5), of the heavily politicized UN Intergovernmental Panel on Climate Change (IPCC). Their 29 page AR5 SPM is available here.
Reliability of future global warming projections depends on how well climate models reproduce the observed climate change over the twentieth century. In this regard, deviations of the model-simulated climate change from observations, such as a recent “pause” in global warming, have received considerable attention. Such decadal mismatches between model-simulated and observed climate trends are common throughout the twentieth century, and their causes are still poorly understood. Here we show that the discrepancies between the observed and simulated climate variability on decadal and longer timescale have a coherent structure suggestive of a pronounced Global Multidecadal Oscillation. Surface temperature anomalies associated with this variability originate in the North Atlantic and spread out to the Pacific and Southern oceans and Antarctica, with Arctic following suit in about 25–35 years. While climate models exhibit various levels of decadal climate variability and some regional similarities to observations, none of the model simulations considered match the observed signal in terms of its magnitude, spatial patterns and their sequential time development. These results highlight a substantial degree of uncertainty in our interpretation of the observed climate change using current generation of climate models.
After years of trying to suppress their release, and finally being ordered to be released by a judge, they are now public, and we have them here. This will remain as a “top post” for a day, new stories will be below this one.
There’s quite a treasure trove, but also some duplications from previous releases.
La géologie, une science plus que passionnante … et diverse