Archives par mot-clé : IPCC

Manufacturing consensus: the early history of the IPCC

by J. Curry, January 3, 2018 in ClimateEtc.


Short summary: scientists sought political relevance and allowed policy makers to put a big thumb on the scale of the scientific assessment of the attribution of climate change.

Bernie Lewin has written an important new book:

SEARCHING FOR THE CATASTROPHE SIGNAL:The Origins of The Intergovernmental Panel on Climate Change

The importance of this book is reflected in its acknowledgements, in context of assistance and contributions from early leaders and participants in the IPCC:

This book would not have been possible without the documents obtained via Mike MacCracken and John Zillman. Their abiding interest in a true and accurate presentation of the facts prevented my research from being led astray. Many of those who participated in the events here described gave generously of their time in responding to my enquiries, they include Ben Santer, Tim Barnett, Tom Wigley, John Houghton, Fred Singer, John Mitchell, Pat Michaels . . . and many more.

You may recall a previous Climate Etc. post Consensus by Exhaustion, on Lewin’s 5 part series on Madrid 1995: The last day of climate science.

Read the whole book, it is well worth reading.  The focus of my summary of the book is on Chapters 8-16 in context of the theme of ‘detection and attribution’, ‘policy cart in front of the scientific horse’ and ‘manufacturing consensus’. Annotated excerpts from the book are provided below.

GREENLAND HAS GAINED 27+ GIGATONS OF SNOW AND ICE OVER THE PAST 5 DAYS ALONE — MSM SILENT

by Cap Allon, April, 2020 in Electroverse


Despite decades of doom-and-gloom prophecies, Greenland’s Ice Sheet is currently GAINING monster amounts of “mass” — 27 gigatons over the past 5 days alone (April 14 – 18, 2020).

Crucial to the survival of a glacier is its surface mass balance (SMB)–the difference between accumulation and ablation (sublimation and melting). Changes in mass balance control a glacier’s long-term behavior, and are its most sensitive climate indicators (wikipedia.org).

On the back of substantial SMB gains over the past few years, the Greenland ice sheet looks set to continue that trend in 2019-20. From April 14 through April 18, 2020, the world’s largest island added a monster 27+ gigatons to its ice sheet. According to climate alarmists, this simply shouldn’t be happening in a warming world. In fact, it might as well not be happening as developments like these NEVER receive MSM attention, meaning alarmists are NEVER privy to the full and unalarming picture…

Les glaces terrestres, la cryosphère 3/3

by JC Maurin, 10 avril 2020 in ScienceClimatEnergie


Partie 3/3 : La diminution de la cryosphère est-elle démontrée dans l’AR5?

La contribution de la cryosphère à la hausse du niveau des mers est abordée dans le chapitre 4 du rapport AR5 du GIEC [1]. Les banquises [2] ne figurent pas parmi les contributeurs car leur fonte ne peut affecter les niveaux marins.

Le GIEC est persuadé que la masse de la cryosphère a diminué entre 1992 et 2012. Cette certitude de l’organisme intergouvernemental est fondée sur sa grande confiance dans des modèles gravimétrique/altimétrique et sur des marges d’erreur très optimistes, particulièrement en Antarctique [3] et sur les glaciers [4].

Les glaces terrestres, la cryosphère (2/3)

by J.C. Maurin, 27 mars 2020 in ScienceClimatEnergie


Partie 2/3 : Lecture critique du chapitre cryosphère de l’AR5

par J.C. Maurin, Professeur agrégé de physique

Cette deuxième partie de l’article examine la composition du chapitre 4 du 5ème rapport du GIEC (AR5) [1].
Dans ce chapitre, qui concerne les différentes composantes de la cryosphère, les banquises [2] et glaciers [3] sont particulièrement mises en avant par les rédacteurs du GIEC.
A propos de ces 2 composantes mineures (0,65 % du volume de la cryosphère), l’article développe certains éléments d’appréciation que les rédacteurs de l’AR5 n’ont pas mis en exergue.

Continuer la lecture de Les glaces terrestres, la cryosphère (2/3)

Study: Computer Models Overestimate Observed Arctic Warming

by Craig Idso, February 26, 2020 in ClimateChageDispatch


Paper Reviewed:
Huang, J., Ou, T., Chen, D., Lun, Y. and Zhao, Z. 2019. The amplified Arctic warming in recent decades may have been overestimated by CMIP5 models. Geophysical Research Letters 46: 13,338-12,345.

Policies aimed at protecting humanity and the environment from the potential effects of CO2-induced global warming rely almost entirely upon models predicting large future temperature increases.

But what if those predictions are wrong? What if a comparison between model projections and observations revealed the models are overestimating the amount of warming?

Would climate alarmists admit as much and back away from promoting extreme policies of CO2 emission reductions?

Probably not — at least based upon the recent rhetoric of each of the candidates seeking the Democrat Party’s nomination for President of the United States, all of whom continue to call for the complete elimination of all CO2 emissions from fossil fuel use within the next three decades, or less.

But for non-ideologues who are willing to examine and accept the facts as they are, the recent work of Huang et al. (2019) provides reason enough to pause the crazy CO2 emission-reduction train.

In their study, the five researchers set out to examine how well model projections of Arctic temperatures (poleward of 60°N) compared with good old-fashioned observations.

More specifically, they used a statistical procedure suitable for nonlinear analysis (ensemble empirical mode decomposition) to examine secular Arctic warming over the period 1880-2017.

Observational data utilized in the study were obtained from the HadCRUT4.6 temperature database, whereas model-based temperature projections were derived from simulations from 36 Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCMs).

Figure 1. Observed and model-predicted rates of nonlinear, secular warming in the Arctic (60-90°N) over the period 1880-2017. The black and red dashed lines indicate the 10th and 90th percentiles for temperature means. Adapted from Huang et al. (2019).

As indicated there, the model-estimated rate of secular warming (the solid red line) increased quite sharply across the 138 year period, rising from a value of around 0°C per decade at the beginning of the record to a value of 0.35°C per decade in the end.

Do We Really Have Only 12 Years to Live?

by Andy May, February 23, 2020 in WUWT


Why have uninformed celebrities and politicians been telling everyone, who will listen, we are all going to die in a climate catastrophe in 10 to 30 years? U.N. General Assembly President María Fernanda Espinosa Garcés of Ecuador warned us…

 

However, these absurd statements are not supported by even the most fanatical climate alarmists, like Kate Marvel (NASA), Gavin Schmidt (NASA), Katharine Hayhoe (Texas Tech), or Andrea Dutton (University of Florida) (link). The original inspiration for these statements came from a 2018 IPCC report entitled Global Warming of 1.5°C. Even the alarmist Scientific American does not think the world is ending in twelve years.

We will discuss this IPCC report below, but first let’s look at some critical evidence that is not in the report. As usual the IPCC dodges the current benefits of warming and additional CO2, so we need to fill in this gap.

A little over two years ago I posted an essay entitled “Calculating the Cost of Global Warming,” it did not calculate a cost, but discussed calculations made by others. Global warming and the increasing concentration of CO2 in the atmosphere are not existential threats to mankind or to nature. Global warming will not go “runaway,” this idea, discussed here, has been discredited by climate change skeptics and by climate alarmists alike (see here and here for examples). So, given that global warming and additional CO2 will not harm us, we are reduced to a discussion of the economic impacts and benefits, both positive and negative, of global warming and additional CO2.

 

Figure 2. A graph of CMIP5 global tropospheric temperatures (5-year averages) versus satellite and weather balloon observations. These predictions are for the Representative Concentration Pathway (RCP) 4.5, a moderate case. Source: House of Representatives report by Dr. John Christy.

Nature Has Been Removing Excess CO2 4X Faster than IPCC Models

by Dr. Roy Spencer, February 5, 2020 in WUWT


Note: What I present below is scarcely believable to me. I have looked for an error in my analysis, but cannot find one. Nevertheless, extraordinary claims require extraordinary evidence, so let the following be an introduction to a potential issue with current carbon cycle models that might well be easily resolved by others with more experience and insight than I possess.

Summary

Sixty years of Mauna Loa CO2 data compared to yearly estimates of anthropogenic CO2 emissions shows that Mother Nature has been removing 2.3%/year of the “anthropogenic excess” of atmospheric CO2 above a baseline of 295 ppm. When similar calculations are done for the RCP (Representative Concentration Pathway) projections of anthropogenic emissons and CO2 concentrations it is found that the carbon cycle models those projections are based upon remove excess CO2 at only 1/4th the observed rate. If these results are anywhere near accurate, the future RCP projections of CO2, as well as the resulting climate model projection of resulting warming, are probably biased high.

 

Introduction

My previous post from a few days ago showed the performance of a simple CO2 budget model that, when forced with estimates of yearly anthropogenic emissions, very closely matches the yearly average Mauna Loa CO2 observations during 1959-2019. I assume that a comparable level of agreement is a necessary condition of any model that is relied upon to predict future levels of atmospheric CO2 if it is have any hope of making useful predictions of climate change.

In that post I forced the model with EIA projections of future emissions (0.6%/yr growth until 2050) and compared it to the RCP (Representative Concentration Pathway) scenarios used for forcing the IPCC climate models. I concluded that we might never reach a doubling of atmospheric CO2 (2XCO2).

But what I did not address was the relative influence on those results of (1) assumed future anthropogenic CO2 emissions versus (2) how fast nature removes excess CO2 from the atmosphere. Most critiques of the RCP scenarios address the former, but not the latter. Both are needed to produce an RCP scenario.

I implied that the RCP scenarios from models did not remove CO2 fast enough, but I did not actually demonstrate it. That is the subject of this short article.

What Should the Atmospheric CO2 Removal Rate be Compared To?

Continuer la lecture de Nature Has Been Removing Excess CO2 4X Faster than IPCC Models

HISTORICAL DATA DESTROYS THE GLOBAL WARMING MYTH, AND PEOPLE ARE WAKING TO IT…

by Cap Allon, January 22, 2020 in Electroverse


According to NOAA’s own historical data, of the 50 U.S. state all-time record high temperatures, 23 were set during the 1930s, while 36 occurred prior to 1960 — climate change proponents are feeding us a fairy tale, and I’m sick of it…

The maniacal sociopaths of the world may have won control of the narrative, but they seemingly have little sway over the will of the people. You need only browse the comment section below any “climate change” article or social media post to see the wave of folks resoundingly rejecting the scam-of-a-world-view assembled before them (one of the few positives of SM).

The man-made global warming rejection is likely down to two things: the first being that the so called “scientific consensus” has been failing for far too long — you can’t start warning people in the 1980s that we have 10 years left to save the planet, only to keep repeating that prophecy for the next 4 decades. This is probably the reason our youth have become the new target — kids don’t have this history of failure to draw-upon when browsing the bullet points of the latest IPCC report -for example- meaning they’re far easier to manipulate.

 

The Evidence Proves That CO2 is Not a Greenhouse Gas

by Tim Ball, September 13, 2018 in Technocracy.News


The Intergovernmental Panel on Climate Change (IPCC) claim of human-caused global warming (AGW) is built on the assumption that an increase in atmospheric CO2 causes an increase in global temperature. The IPCC claim is what science calls a theory, a hypothesis, or in simple English, a speculation.  Every theory is based on a set of assumptions. The standard scientific method is to challenge the theory by trying to disprove it. Karl Popper wrote about this approach in a 1963 article, Science as Falsification. Douglas Yates said,

“No scientific theory achieves public acceptance until it has been thoroughly discredited.”

Thomas Huxley made a similar observation.

“The improver of natural knowledge absolutely refuses to acknowledge authority, as such. For him, skepticism is the highest of duties; blind faith the one unpardonable sin.”

In other words, all scientists must be skeptics, which makes a mockery out of the charge that those who questioned AGW, were global warming skeptics. Michael Shermer provides a likely explanation for the effectiveness of the charge.

“Scientists are skeptics. It’s unfortunate that the word ‘skeptic’ has taken on other connotations in the culture involving nihilism and cynicism. Really, in its pure and original meaning, it’s just thoughtful inquiry.”

The scientific method was not used with the AGW theory. In fact, the exact opposite occurred, they tried to prove the theory. It is a treadmill guaranteed to make you misread, misrepresent, misuse and selectively choose data and evidence. This is precisely what the IPCC did and continued to do.

Des observations satellitaires qui ne confirment pas les modèles climatiques

by Jean N., 3 janvier 2020 in ScienceClimatEnergie


 

 

3. Conclusions

• Depuis plus de 40 ans que des mesures de température sont effectuées par satellite, la basse et la moyenne troposphère se réchauffent bel et bien. Mais sans aucune accélération visible, et ce à des vitesses de l’ordre de +0.13°C/décade et +0.09°C/décade. La vitesse de réchauffement décroit donc avec l’altitude.

• La zone correspondant à la tropopause (vers 10 km d’altitude) ne se réchauffe pas, contrairement à ce que les modèles informatiques prédisent (pour plus de détails voir les articles de J. Christy). Peut-on alors continuer à utiliser ces modèles pour prédire la température de certaines couches atmosphériques dans le futur? Notons ici que les observations satellitaires sont confirmées par des observations réalisées in situ avec des ballons-sondes.

• La basse stratosphère se refroidit actuellement à la vitesse d’environ –0.29°C par décade, et l’analyse de corrélation menée par Varotsos et Efstathiou nous suggère que le comportement de la stratosphère n’est pas simplement lié à celui de la troposphère, les choses étant plus complexes.

• Les modèles climatiques actuels, basés sur l’hypothèse d’un l’effet de serre radiatif causé essentiellement par du CO2 atmosphérique, sont donc à revoir. Le CO2 (naturel ou d’origine anthropique) pourrait donc n’avoir qu’un rôle mineur et imperceptible sur la température de la troposphère.

En conclusion générale, nous devons toujours garder à l’esprit que le système climatique est très complexe car il est composé de cinq sous-systèmes (atmosphère, cryosphère, hydrosphère, biosphère et lithosphère) et que ces 5 sous-systèmes interagissent les uns avec les autres dans l’espace et le temps avec des processus principalement non linéaires (Lovejoy et Varotsos, 2016) et se comportent de manière chaotique (voir ici). Par conséquent, la modification d’un seul paramètre dans l’un des sous-systèmes (par exemple, la température de la basse troposphère) ne permet pas de prévoir un changement climatique à long terme, car tous les autres paramètres de l’atmosphère mais aussi ceux des autres sous-systèmes (connus et mesurables, ou non) ne sont pas nécessairement connus et stables. En plus de tout cela plusieurs facteurs externes, imparfaitement connus, peuvent influencer chacun des sous-systèmes, comme les rayonnements cosmiques ou les variations du champ magnétique solaire.

Failed Serial Doomcasting

by Willis Eschenbach, December 27, 2019 in WUWT


People sometimes ask me why I don’t believe the endless climate/energy use predictions of impending doom and gloom for the year 2050 or 2100. The reason is, neither the climate models nor the energy use models are worth a bucket of warm spit for such predictions. Folks concentrate a lot on the obvious problems with the climate models. But the energy models are just as bad, and the climate models totally depend on the energy models for estimating future emissions. However, consider the following US Energy Information Agency (EIA) predictions of energy use from 2010, quoted from here (emphasis mine):

The only thing that seems clear about all of those questions is that the answer is not “CO2”. Here’s another look at Greenland, this time with CO2 overlaid on the temperature:

The List Grows – Now 100+ Scientific Papers Assert CO2 Has A Minuscule Effect On The Climate

by K. Richard, December 12, 2019 in NoTricksZone


Within the last few years, over 50 papers have been added to our compilation of scientific studies that find the climate’s sensitivity to doubled CO2 (280 ppm to 560 ppm) ranges from <0 to 1°C. When no quantification is provided, words like “negligible” are used to describe CO2’s effect on the climate. The list has now reached 106 scientific papers.

Link: 100+ Scientific Papers – Low CO2 Climate Sensitivity

A few of the papers published in 2019 are provided below:

CMIP5 Model Atmospheric Warming 1979-2018: Some Comparisons to Observations

by Roy Spencer, December 12, 2019 in WUWT


I keep getting asked about our charts comparing the CMIP5 models to observations, old versions of which are still circulating, so it could be I have not been proactive enough at providing updates to those. Since I presented some charts at the Heartland conference in D.C. in July summarizing the latest results we had as of that time, I thought I would reproduce those here.

The following comparisons are for the lower tropospheric (LT) temperature product, with separate results for global and tropical (20N-20S). I also provide trend ranking “bar plots” so you can get a better idea of how the warming trends all quantitatively compare to one another (and since it is the trends that, arguably, matter the most when discussing “global warming”).

From what I understand, the new CMIP6 models are exhibiting even more warming than the CMIP5 models, so it sounds like when we have sufficient model comparisons to produce CMIP6 plots, the discrepancies seen below will be increasing.

Global Comparisons

First is the plot of global LT anomaly time series, where I have averaged 4 reanalysis datasets together, but kept the RSS and UAH versions of the satellite-only datasets separate. (Click on images to get full-resolution versions).

Climate Models Have Not Improved in 50 Years

by David Middleton, December 6, 2019 in WUWT


The accuracy of the failed models improved when they adjusted them to fit the observations… Shocking.

The AGU and Wiley currently allow limited access to Hausfather et al., 2019. Of particular note are figures 2 and 3. I won’t post the images here due to the fact that it is a protected limited access document.

Figure 2: Model Failure

Figure 2 has two panels. The upper panel depicts comparisons of the rates of temperature change of the observations vs the models, with error bars that presumably represent 2σ (2 standard deviations). According to my Mark I Eyeball Analysis, of the 17 model scenarios depicted, 6 were above the observations’ 2σ (off the chart too much warming), 4 were near the top of the observations’ 2σ (too much warming), 2 were below the observations’ 2σ (off the chart too little warming), 2 were near the bottom of the observations’ 2σ (too little warming), and 3 were within 1σ (in the ballpark) of the observations.

Figure 2. Equilibrium climate sensitivity (ECS) and transient climate response

L’Optimum Climatique Médiéval : ce Grand Oublié !

by A. Préat, 29 novembre 2019 in ScienceClimatEnergie


1/ Introduction

Comme rappelé dans un précédent article (ici) les événements hyperthermiques sont fréquents tout au long de l’histoire de la Terre. Bien que fréquents et étudiés avec détail, force est de reconnaître que le ‘fin’ mot de leur origine n’est toujours pas connu, sauf à leur attribuer à tous un lien de parenté avec l’un ou l’autre des gaz dits à effet de serre, sans qu’une démonstration en bonne et due forme soit présentée. C’est ce que décortique l’article paru dans SCE (ici) pour un des événements hyperthermiques les plus intenses (événement PETM pour Paleocene-Eocene Thermal Maximum) s’étant déroulé au début de l’ère Cénozoïque il y a environ 56 millions d’années.

Rappelons la succession de ces événements au Cénozoïque, d’abord l’événement PETM, ensuite E-O (Eocene-Oligocene transition with climatic shift), MMCO (Mid-Miocene Climatic Optimum), MPTO (Mid-Pliocene Thermal Optimum) et depuis environ 10 000 ans l’Optimum Holocène. Ces événements montrent tous que la Terre a régulièrement connu de longues périodes chaudes avec des ‘températures moyennes globales’ plus élevées que l’actuelle (voir par exemple Cronin 2010, également mentionné sur de nombreux sites web). L’indicateur climatique communément utilisé , la température moyenne globale est loin d’être parfait (ici et ici). Il ne faut donc pas prendre au pied de la lettre cette notion de ‘température moyenne globale’ car déjà pour aujourd’hui elle est plus que discutable, et pour le passé elle est plus qu’inconnue. Mais il n’en reste pas moins vrai que lors des événements hyperthermiques ou des optima climatiques la température était plus élevée qu’actuellement, nous le savons grâce à de nombreux indicateurs ou ‘proxies’ (voir plus loin). Ces événements ne concernent pas uniquement le Cénozoïque (y compris l’Holocène) mais l’ensemble de l’échelle des temps géologiques au-delà du Cénozoïque, avec parfois des températures fort supérieures à celles du Cénozoïque, comme par exemple au Permien (ici).

2/ L’Optimum Climatique Médieval

Revenons aux temps actuels, c’est-à-dire aux temps historiques. Plusieurs Optima Climatiques se succèdent depuis environ 6000 ans, avec pour la période la plus proche de nous, c’est-à-dire environ 3500 ans, la succession des Optima Climatiques Minoen, Romain, Médiéval et Actuel (Figure 1). Le plus récent est l’Optimum Climatique Médiéval (OCM) dont l’acmé se situe aux alentours de l’an mil. S’agissant de températures à peine plus élevées (1,5°C cfr ici et Le Roy Ladurie, 1967, également 1.0-1.4°C in Easterbrook, 2011), la délimitation précise de cet intervalle par rapport aux périodes encadrantes est difficile et l’OCM est finalement compris du 8ème au 13ème siècle (= le ‘petit optimum du Moyen Age’ d’environ 700 à 1350 sensu Le Roy Ladurie, 1967).

Figure 8 (cfr. Figure 5 in Préat, 2019). Capture d’écran de la Figure 8 de Scafetta (2019) : On the reliability of computer-based climate models. IJEGE, 19, 49-70. En comparant les deux courbes on peut se demander si l’on parle de la même chose! (RWP Roman Warm Period, DACP Dark Age Cold Period ou période froide post-romaine, MWP Medieval Warm Period, LIA Little Ice Age, CWP Current  Warm Period). Pour rappel la courbe A du haut, est la fameuse courbe en forme de hockey de Mann et al. 1998 du GIEC.

Scientists Cite Uncertainty, Error, Model Deficiencies To Affirm A Non-Detectable Human Climate Influence

by K. Richard, November 21, 2019 in NoTricksZone


Observational uncertainty, errors, biases, and estimation discrepancies in longwave radiation may be 100 times larger than the entire accumulated influence of CO2 increases over 10 years. This effectively rules out clear detection of a potential human influence on climate.

The anthropogenic global warming (AGW) hypothesis rides on the fundamental assumption that perturbations in the Earth’s energy budget – driven by changes in downward longwave radiation from CO2 — are what cause climate change.

According to one of the most frequently referenced papers advancing the position that CO2 concentration changes (and downward longwave radiation perturbations) drive surface temperature changes, Feldman et al. (2015) concluded there was a modest 0.2 W/m² forcing associated with CO2 rising by 22 ppm per decade.

Again, that’s a total CO2 influence of 0.2 W/m² over ten years.

In contrast, analyses from several new papers indicate the uncertainty and error values in downwelling (and outgoing) longwave radiation in cloudless environments are more than 100 times larger than 0.2 W/m².

In other words, it is effectively impossible to clearly discern a human influence on climate.

 

1.  Kim and Lee, 2019   Measurement errors of outgoing longwave radiation (OLR) reach 11 W/m², more than 50 times larger than total CO2 forcing over 10 years. Cloud optical thickness (COT) and water vapor have “the greatest effect” on OLR – an influence of 2.7 W/m². CO2 must rise to 800 ppm to impute an influence of 1 W/m².

Paris Won’t Cut Emissions–Bob Watson

by P. Homewood, November 10, 2019 in NotaLotofPeople KnowThat


It’s apparently taken ex IPCC Chair Bob Watson four years to work out that the Paris Agreement did nothing to reduce emissions.

It’s a pity he did not read this blog, because I was saying the same thing when it was signed!

Steve Milloy reports:

 

The truth behind the Paris Agreement climate pledges

Almost 75% of 184 Paris Agreement pledges were judged insufficient to slow climate change; Only 28 European Union nations and 7 others will reduce emissions by at least 40% by 2030

UNIVERSAL ECOLOGICAL FUND

  • Only 28 European Union nations & 7 others will reduce emissions by at least 40 percent by 2030
  • China & India, top emitters, will reduce emissions intensity, but their emissions will increase
  • U.S., second top emitter, has reversed key national policies to combat climate change
  • Almost 70 percent of the pledges rely on funding from wealthy nations for their implementation

Almost three-quarters of the 184 climate pledges made under the Paris Agreement aimed at curbing greenhouse gas emissions are inadequate to slow climate change, and some of the world’s largest emitters will continue to increase emissions, according to a panel of world-class climate scientists. It is these increasing greenhouse emissions that are driving climate change.

The Truth Behind the Climate Pledges, a new report published by the Universal Ecological Fund, examines in great detail the 184 voluntary pledges under the Paris Agreement, the first collective global effort to address climate change.

New climate models – even more wrong

by P. Matthews, Nov. 5, 2019 in ClimateScepticsim


The IPCC AR5 Report included this diagram, showing that climate models exaggerate recent warming:

If you want to find it, it’s figure 11.25, also repeated in the Technical Summary as figure TS-14. The issue is also discussed in box TS3:

“However, an analysis of the full suite of CMIP5 historical simulations (augmented for the period 2006–2012 by RCP4.5 simulations) reveals that 111 out of 114 realizations show a GMST trend over 1998–2012 that is higher than the entire HadCRUT4 trend ensemble (Box TS.3, Figure 1a; CMIP5 ensemble mean trend is 0.21°C per decade). This difference between simulated and observed trends could be caused by some combination of (a) internal climate variability, (b) missing or incorrect RF, and (c) model response error.”

Well, now there is a new generation of climate models, imaginatively known as CMIP6. By a remarkable coincidence, two new papers have just appeared, from independent teams, giving very similar results and published on the same day in the same journal. One is UKESM1: Description and evaluation of the UK Earth System Model, with a long list of authors, mostly from the Met Office, also announced as a “New flagship climate model” on the Met Office website.  The other is Structure and Performance of GFDL’s CM4.0 Climate Model, by a team from GFDL and Princeton. Both papers are open-access.

Now you might think that the new models would be better than the old ones. This is mathematical modelling 101: if a model doesn’t fit well with the data, you improve the model to make it fit better. But such elementary logic doesn’t apply in the field of climate science.

Human CO2 Emissions Have Little Effect On Atmospheric CO2

by Ed Berry, October 21, 2019 in PrincipiaScientificInternational


The United Nations Intergovernmental Panel on Climate Change (IPCC) agrees human CO2 is only 5 percent and natural CO2 is 95 percent of the CO2 inflow into the atmosphere. The ratio of human to natural CO2 in the atmosphere must equal the ratio of the inflows.

Yet IPCC claims human CO2 has caused all the rise in atmospheric CO2 above 280 ppm, which is now 130 ppm or 32 percent of today’s atmospheric CO2.

To cause the human 5 percent to become 32 percent in the atmosphere, the IPCC model treats human and natural CO2 differently, which is impossible because the molecules are identical. IPCC’s Bern model artificially traps human CO2 in the atmosphere while it lets natural CO2 flow freely out of the atmosphere.

By contrast, a simple Physics Model treats all CO2 molecules the same, as it should, and shows how CO2 flows through the atmosphere and produces a balance level where outflow equals inflow. Thereafter, if inflow is constant, level remains constant.

The Physics Model has only one hypothesis, that outflow is proportional to level. The Physics Model exactly replicates the 14C data from 1970 to 2014 with only two physical parameters: balance level and e-time. The 14C data trace how CO2 flows out of the atmosphere.

The Physics Model shows the 14CO2 e-time is a constant 16.5 years. Other data show e-time for 12CO2 is about 4 to 5 years. IPCC claims human CO2 reduces ocean buffer capacity. But that would increase e-time. The constant e-time proves IPCC’s claim is false.

IPCC argues that the human-caused reduction of 14C and 13C in the atmosphere prove human CO2 causes all the increase in atmospheric CO2. However, numbers show these isotope data support the Physics Model and reject the IPCC model.

The Physics Model shows how inflows of human and natural CO2 into the atmosphere set balance levels proportional to their inflows. Each balance level remains constant if its inflow remains constant. Continued constant CO2 emissions do not add more CO2 to the atmosphere. No CO2 accumulates in the atmosphere.

Present human CO2 inflow produces a balance level of about 18 ppm. Present natural CO2 inflow produces a balance level of about 392 ppm. Human CO2 is insignificant to the increase of CO2 in the atmosphere. Increased natural CO2 inflow has increased the level of CO2 in the atmosphere.

Keywords: carbon dioxide, CO2, climate change, anthropogenic

Le GIEC en est virtuellement certain…

by Prof. Dr. Jean N., 11 octobre 2019 in ScienceClimatEnergie


Le dernier rapport spécial du GIEC vient de sortir. Ce rapport, appelé SROCC (“Special Report on the Ocean and Cryosphere in a Changing Climate“), a été approuvé à la 51e session du GIEC tenue les 20 et 23 septembre 2019. Il a déjà fait beaucoup parler de lui dans les médias. Le résumé du rapport à l’intention des décideurs (SPM) a été présenté lors d’une conférence de presse le 25 septembre 2019. Pour ceux qui comprennent l’anglais, qui ont une formation scientifique et surtout qui ont le temps de lire 1170 pages, le fichier PDF de ce rapport est disponible sur le site du GIEC. Le présent article analyse le chapitre 4 de ce rapport, celui qui traite de la montée des océans. Rassurez-vous, nous n’allons pas critiquer la montée du niveau des océans qui est un phénomène bien réel. Nous allons plutôt montrer que les auteurs ont étrangement omis certaines explications qui relativisent la portée de leurs conclusions, notamment concernant la cause de la hausse du niveau marin.

1. Structure du chapitre 4

Ce chapitre 4 consiste en 168 pages et a pour titre “Élévation du niveau de la mer et conséquences pour les îles, les côtes et les communautés de faible altitude“. Les deux auteurs coordonnateurs de ce chapitre sont Michael Oppenheimer (USA) et Bruce Glavovic (Nouvelle Zélande). Les auteurs principaux sont au nombre de 13 et les auteurs contributeurs sont au nombre de 31. Au final, 46 scientifiques ont donc contribué à écrire ce chapitre. Rien que pour ce chapitre les auteurs citent un peu plus de 1500 références, essentiellement des articles scientifiques.

Qu’apprend-t-on dans le chapitre 4?

Pour faire simple, nous y apprenons : (1) Que le niveau moyen des océans monte toujours et que la vitesse s’accélère; (2) Que cette montée du niveau marin est essentiellement causée par l’homme; (3) Que l’on peut calculer ce qui va se passer dans le futur grâce aux modèles numériques; (4) Que l’on peut éventuellement se protéger de la hausse du niveau marin par toute une série de mesures.

Nous allons maintenant nous focaliser sur les points n°1 (montée du niveau) et n°2 (les causes).

2. La montée du niveau moyen des océans selon le SROCC

Renowned German Geologist Shocks Audience: “Climate Change Totally Exaggerated”…”Warming Least Of Our Problems” By P Gosselin on 12. Oct

par P. Gosselin, October 12, 2019 in NoTricksZone


It’s unusual to see rationality over climate change in the German media, but sometimes it manages to get through.

In April this year I missed an important podcast interview with one of the world’s most prominent Sahara Desert researchers, geologist Dr. Stefan Kröpelin, by the Düsseldorf-based German daily, Rheinische Post.

Image: University of Cologne

The two RP hosts conducting the interview seemed to expect Dr. Kröpelin would tell the audience how dire the consequences of man-made global warming are on the Sahara Desert and planet overall.

They didn’t get what they bargained for.

Warming does not lead to desertification

Instead, in the interview, Dr. Kröpelin rejected in very clear terms man’s major climatic impact and that global warming is only negative.

Kröpelin told listeners that history is very clear: When the globe is cold, the deserts expand. And when the globe is warm, deserts become greener and far more fruitful.

Kröpelin is a leading expert

Kröpelin has been studying the Sahara for over 40 years, spending weeks and months each year on site gathering data a reconstructing past climates. Naturedescribed Kröpelin as “one of the most devoted Sahara explorers of our time.”

At about 9 minutes into the interview, he explains how the Sahara was massive in size during the last glacial period, and that about ten thousand years ago it greened up once temperatures shot up early in the Holocene.

When asked (10:15) if he worries that things in the Sahara “will get much worse” due to climate change, Kröpelin tells the host and audience: “First, that is a statement I 100% reject”, adding that localized desertification has more to do with the population growth at the edges of the desert and that the people who live there are cutting down trees and extracting water from the ground.

Rising precipitation, shrinking desert

Serious Errors In IPCC Ocean Report Revealed

by B. Peiser, October 11, 2019 in GWPF


London, 11 October: The Global Warming Policy Foundation (GWPF) has called on the Intergovernmental Panel on Climate Change (IPCC) to correct serious errors in its recent Special Report on the Ocean and Cryosphere in a Changing Climate.

In a letter to the IPCC, Dr Benny Peiser, the GWPF’s director, has highlighted a number of errors and misinterpretations in the IPCC’s report which are based, to a significant degree, on a flawed study which was recently retracted.

In his letter, Dr Peiser points out that the IPCC’s overall conclusion on ocean heat uptake

“is based to a significant degree on a paper by Cheng et al. (2019) which itself relies on a flawed estimate by Resplandy et al. (2018). An authors’ correction of this paper and its ocean heat uptake estimate was under review for nearly a year, but in the end Nature requested that the paper be retracted (Retraction Note, 2019).”

“While the [IPCC’s] conclusion that the rate of ocean heat uptake has increased in recent years may probably be right, the evidence you cite for there being ‘high confidence’ and ‘high agreement’ is rather doubtful due to your inclusion of flawed evidence of the retracted paper by Resplandy et al. (2018).”

What is more, there is also doubt about the IPCC’s conclusion that ocean heat uptake has been accelerating in recent years. According to its own report the overall ocean heat uptake between 0-2000 m was nearly 10% higher over 1993-2017 than over the second half of that period, 2005-2017, suggesting that OHU may have been declining slightly rather than accelerating over the last 25 years.

In light of these flaws, the GWPF is calling on the IPCC to correct the evident errors and reduce its confidence rating accordingly.

Letter to the IPCC (pdf)
https://www.thegwpf.org/content/uploads/2019/10/IPCC-letter-Oct2019.pdf?utm_source=CCNet+Newsletter&utm_campaign=67a9d80e1a-EMAIL_CAMPAIGN_2019_10_11_11_33_COPY_01&utm_medium=email&utm_term=0_fe4b2f45ef-67a9d80e1a-36415357&mc_cid=67a9d80e1a&mc_eid=b9fdc60fd9

It’s Time To Move Beyond The Toy Models that Guide Climate Policy

by Roger Pielke, October 7, 2019 in Forbes


Underlying discussion and debate of climate policies are computer models that bring together idealized representations of policies, economics and climate to estimate the impacts of future climate change and the benefits of mitigation. Such models, typically called integrated assessment models, are incredibly technical and complex. At the same time, they are also simplistic toys. Here I argue that while these models are valuable for exploring concepts and ideas, they have come to serve as a huge distraction when it comes to the development of actual policies that have a chance to accelerate rates of decarbonization in the real world.

Before proceeding, it is important to note that climate change poses real risks to our collective future, and aggressive mitigation and adaptation policies make good sense. However, the pace of progress, particularly on mitigation, has been frustratingly slow.

One way that integrated assessment models warp our discussion of climate policies is through the pervasive use of what are called “baseline scenarios.” These scenarios seek to represent where the world may be headed into the future in the absence of climate policies. Here is how the Intergovernmental Panel on Climate Change (IPCC) defines such scenarios, and their role in evaluating futures with climate policy (called “mitigation scenarios”):

Methodological debates are of course common in policy research. But in no area of policy that I have encountered over the past 30 years as a policy researcher have I come across a subject matter both as important as climate change and completely captured by one school of thought.

Scenario planning has an important role to play in the tool box of policy analysts. However, in the case of climate change, scenarios generated by integrated assessment models have overwhelmingly become the main tool of analysis in climate policy, to the exclusion of other valuable approaches. The result of this methodological myopia is that much of our collective intellectual attention has been spent on trying to figure out how to address climate change in models, and not in the real world.

WMO Secretary-General Warns Against Climate ‘Doomsters and Extremists’

by  Anthony Watts, Sep. 6, 2019 in WUWT


London, 6 September: The General-Secretary of the World Meteorological Organization (WMO) says that the alarmist narrative on climate change has gone off the rails and criticised the news media for provoking unjustified anxiety.

Speaking to Finland’s financial newspaper Talouselämä (“The Journal”) on 6 September 2019, Petteri Taalas called for cooler heads to prevail, saying that he does not accept arguments of climate alarmists that the end of the world is at hand.

Dr Taalas also spoke of the dangers of green extremism:

“While climate sceptisism has become less of an issue, now we are being challenged from the other side. Climate experts have been attacked by these people and they claim that we should be much more radical. They are doomsters and extremists; they make threats.”

And he called for the media both to challenge experts and allow a broader range of opinions to be heard.

Climate Scientists Admit Their Models Are Wrong

by Bud Bromley, August 30, 2019 in PrincipiaScientificInternational


Climate scientists who support human-caused global warming, for example Ben Santer and Michael Mann, authored a peer reviewed paper which acknowledges that their climate models are wrong, although their admission is buried in weasel words and technical jargon:

In the scientific method it is not the obligation or responsibility of skeptics or “deniers” to falsify or disprove hypotheses and theories proposed by climate scientists.  It is the obligation and responsibility of climate scientists to present evidence and to defend their hypothesis.  Alarmist climate scientists have failed to do so despite the expense of billions of dollars of taxpayer money.

https://www.nature.com/ngeo/journal/vaop/ncurrent/full/ngeo2973.html

http://climatechangedispatch.com/the-pause-in-global-warming-is-real-admits-climategate-scientist/

Read more at budbromley.blog