Archives par mot-clé : Model(s)

climate-debate

NOAA Study: Atmosphere Warming At Half The Rate Predicted By Climate Models

by R. MCKitrick, Apr 13, 2023 in ClimateChangeDispatch

An important new study on climate change came out recently. I’m not talking about the Intergovernmental Panel on Climate Change (IPCC) Synthesis Report with its nonsensical headline, “Urgent climate action can secure a liveable future for all.”

No, that’s just meaningless sloganeering proving yet again how far the IPCC has departed from its original mission of providing objective scientific assessments. [emphasis, links added]

I’m referring instead to a new paper in the Journal of Geophysical Research-Atmospheres by a group of scientists at the U.S. National Oceanic and Atmospheric Administration (NOAA) headed by Cheng-Zhi Zou, which presents a new satellite-derived temperature record for the global troposphere (the atmospheric layer from one kilometer up to about 10 km altitude).

The troposphere climate record has been heavily debated for two reasons. First, it’s where climate models say the effect of warming due to greenhouse gases (GHGs) will be the strongest, especially in the mid-troposphere.

And since that layer is not affected by urbanization or other changes to the land surface, it’s a good place to observe a clean signal of the effect of GHGs.

Since the 1990s the records from both weather satellites and weather balloons have shown that climate models predict too much warming.

In a 2020 paper, John Christy of the University of Alabama-Huntsville (UAH) and I examined the outputs of the 38 newest climate models and compared their global tropospheric warming rates from 1979 to 2014 against observations from satellites and weather balloons.

All 38 exhibited too much warming, and in most cases, the differences were statistically significant. We argued that this points to a structural error in climate models where they respond too strongly to GHGs.

But, and this is the second point of controversy, there have also been challenges to the observational record.

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climate-debate

Think We Can Model the Climate? Clouds Get in the Way

by R. Barmby, 9 Apt 2023 in CO2Coalition

I’ve looked at climate change from both sides now, and I have found common ground between proponents and skeptics of the belief that climate change is largely caused by humans. When it comes to forecasting global temperatures, distinguished experts in both camps agree a dominant variable cannot be simulated in computer models because clouds get in the way.

Among the proponents is Dr. Bjorn Stevens, a contributing author to the Intergovernmental Panel on Climate Change (IPCC) Assessment Report 5 (2014). Dr. Stevens is also director at the Max Planck Institute for Meteorology, Hamburg, Germany, and a cloud expert. In a recent interview he acknowledged the contribution of clouds to global warming is overestimated in the IPCC’s “Climate Change 2021: The Physical Science Basis.”

“Clouds are tricksters,” he said, referring to their complexity. However, he said, many scientists use oversimplified representations of clouds in modeling “as a guide because they are easier to simulate. This makes the climate models less accurate.”

On the skeptic side is Dr. Richard S. Lindzen, a former lead author for IPCC Assessment Report 3 and now a vocal critic of the IPCC. In a recent podcast the interviewer noted that Lindzen had published sufficient research papers to earn 80 PhDs. (Lindzen humbly declined the praise.)

Lindzen, professor emeritus of Atmospheric Sciences at the Massachusetts Institute of Technology,  points out that IPCC models rely on the assumption that water vapor and clouds amplify the greenhouse gas effects of CO2 in order to achieve forecasts of catastrophic global warming. The IPCC theory is that a warmer atmosphere will have a higher content of water vapor – itself is a greenhouse gas – that adds to the warming caused by CO2. Without this amplifying “positive feedback” effect, the models are still wrong for many reasons, but they no longer project “catastrophic” warming.

Dr. Stevens, who is on record stating that global warming is a “huge problem,” agrees that increased clouds do not amplify global warming: “Water-rich low clouds over the tropical ocean have the greatest cooling effect and low-water ice clouds at high altitudes have the strongest warming effect. Overall, the cooling effect is greater.” That’s called “negative feedback.”

Dr. Lindzen argues that global average temperature is controlled by the polar regions. The temperature at the tropics remains relatively constant over long periods of time while the polar regions have significant variations. In other words, a small change in global average temperature is the result of a big change in polar temperatures. The stability of tropical temperatures indicates that increased clouds provide negative feedback in times of global warming. Rather than exacerbating the global warming effect of CO2, clouds reduce it.

Lindzen proposes the mechanism by which greater negative feedback is produced: High altitude cirrus clouds (Dr. Stevens’ low-water high altitude ice clouds that cause warming) control heat emissions to space. As the air below these clouds warms, the cirrus clouds dissipate and allow more energy to radiate into space. He calls this the Iris Effect.

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climate-debate

A Primer On The IPCC’s Implausible Climate Scenarios

by R. Pielke, Mar 17, 2023 in ClimateChangeDispatch

Next Monday the Intergovernmental Panel on Climate Change will release its so-called “Synthesis Report” which will integrate the findings of six different reports that it has released since 2014.

I have not participated in the IPCC nor have I seen the new report.

However, I have little doubt that one of the main issues that we will be discussing next week when the report is released will be the implausible climate scenarios that underpin much of the work of the IPCC over the past 9 years.[emphasis, links added]

Research I’ve been involved in — along with colleagues Matthew Burgess and Justin Ritchie — shows that theemissions scenarios that have guided the work of the IPCC and the broader climate research community are widely off the mark.

In short, they are far too extreme, both in what they project for today and especially into the future.

Our work is part of a growing consensus in the literature about the implausibility of extreme climate scenarios — a consensus so strong that it was acknowledged in the most recent IPCC assessmentreports, even though it complicated their messages.

The ubiquity of out-of-date scenarios throughout recent IPCC reports and the underlying literature that is has assessed means that the IPCC Synthesis Report, summarizing its work since 2014, runs the risk of promoting out-of-date science.

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climate-debate

CMIP6 GCM Validation Based on ECS and TCR Ranking for 21st Century Temperature Projections and Risk Assessment

by N. Scafetta, Feb 9, 2023 in MDPI_Atmosphere

Abstract

Global climate models (GCMs) from the sixth Coupled Model Intercomparison Project Phases (CMIP6) have been employed to simulate the twenty-first-century temperatures for the risk assessment of future climate change. However, their transient climate response (TCR) ranges from 1.2 to 2.8 °C, whereas their equilibrium climate sensitivity (ECS) ranges from 1.8 to 5.7 °C, leading to large variations in the climatic impact of an anthropogenic increase in atmospheric CO2 levels. Moreover, there is growing evidence that many GCMs are running “too hot” and are hence unreliable for directing policies for future climate changes. Here, I rank 41 CMIP6 GCMs according to how successfully they hindcast the global surface warming between 1980 and 2021 using both their published ECS and TCR estimates. The sub-ensemble of GCMs with the best performance appears to be composed of the models with ECS ranging between 1.8 and 3.0 °C (which confirms previous studies) and TCR ranging between 1.2 and 1.8 °C. This GCM sub-ensemble is made up of a total of 17 models. Depending on the emission scenarios, these GCMs predict a 2045–2055 warming of 1.5–2.5 °C compared to the pre-industrial era (1850–1900). As a result, the global aggregated impact and risk estimates seem to be moderate, which implies that any negative effects of future climate change may be adequately addressed by adaptation programs. However, there are also doubts regarding the actual magnitude of global warming, which might be exaggerated because of urban heat contamination and other local non-climatic biases. A final section is dedicated to highlighting the divergences observed between the global surface temperature records and a number of alternative temperature reconstructions from lower troposphere satellite measurements, tree-ring-width chronologies, and surface temperature records based on rural stations alone. If the global warming reported by the climate records is overestimated, the real ECS and TCR may be significantly lower than what is produced by the CMIP6 GCMs, as some independent studies have already suggested, which would invalidate all of the CMIP6 GCMs.
climate-debate

CMIP6 GCM Validation Based on ECS and TCR Ranking for 21st Century Temperature Projections and Risk Assessment

by N. Scafetta, Feb 3, 2023 in MDPI, Earth Science

Global climate models (GCMs) from the sixth Coupled Model Intercomparison Project Phases (CMIP6) have been employed to simulate the twenty-first-century temperatures for the risk assessment of future climate change. However, their transient climate response (TCR) ranges from 1.2 to 2.8 °C, whereas their equilibrium climate sensitivity (ECS) ranges from 1.8 to 5.7 °C, leading to large variations in the climatic impact of an anthropogenic increase in atmospheric CO2 levels. Moreover, there is growing evidence that many GCMs are running “too hot” and are hence unreliable for directing policies for future climate changes. Here, I rank 41 CMIP6 GCMs according to how successfully they hindcast the global surface warming between 1980 and 2021 using both their published equilibrium climate sensitivity (ECS) and transient climate response (TCR) estimates. The sub-ensemble of GCMs with the best performance appears to be composed of the models with ECS ranging between 1.8 and 3.0 °C (which confirms previous studies) and TCR ranging between 1.2 and 1.8 °C. This GCM sub-ensemble is made up of a total of 17 models. Depending on the emission scenarios, these GCMs predict a 2045–2055 warming of 1.5–2.5 °C compared to the pre-industrial era (1850–1900). As a result, the global aggregated impact and risk estimates seem to be moderate, which implies that any negative effects of future climate change may be adequately addressed by adaptation programs. However, there are also doubts regarding the actual magnitude of global warming, which might be exaggerated because of urban heat contamination and other local non-climatic biases. A final section is dedicated to highlighting the divergences observed between the global surface temperature records and a number of alternative temperature reconstructions from lower troposphere satellite measurements, three-ring-width chronologies, and surface temperature records based on rural stations alone. If the global warming reported by the climate records is overestimated, the real ECS and TCR may be significantly lower than what is produced by the CMIP6 GCMs, as some independent studies have already suggested, which would invalidate all of the CMIP6 GCMs.
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climate-debate

Climate models fail to capture strengthening wintertime North Atlantic jet and impacts on Europe

by Blackport P. & Fyfe, J.C., Nov 11, 2022 in ScienceAdvances

Abstract

Projections of wintertime surface climate over Europe depend on reliable simulations of the North Atlantic atmospheric circulation from climate models. However, it is unclear whether these models capture the long-term observed trends in the North Atlantic circulation. Here, we show that over the period from 1951 to 2020, the wintertime North Atlantic jet has strengthened, while model trends are, on average, only very weakly positive. The observed strengthening is greater than in any one of the 303 simulations from 44 climate models considered in our study. This divergence between models and observations is now much more apparent because of a very strong jet observed over the past decade. The models similarly have difficulty capturing the observed precipitation trends over Europe. Our results suggest that projections of winter atmospheric circulation and associated precipitation over Europe may be unreliable because they fail to capture the response to human emissions or underestimate the magnitude of multidecadal-to-centennial time scale internal variability.
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better to know...?, climate-debate

“It was an Ambush”: The Long Fight against Climate Deniers

by E. Worrall, Oct 22, 2022 in WUWT

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Read more: https://www.aljazeera.com/features/2022/10/20/the-long-fight-against-climate-change-deniers

I’m not sure why Stott seems to think the Paris Agreement is such a success. The world is currently burning record amounts of coal, so I think we can safely add the Paris Agreement to the scrapheap of failed climate initiatives, regardless of political rhetoric.

As for Russia, Russians have likely been skeptical of Western climate science ever since Western scientists ignored Russian advice there was no evidence of unusual warming in the 20th century.

In 1998 scientist Rashit Hantemirov, of the Institute of Plant and Animal Ecology, Russian Academy of Sciences, tried to explain to Keith Briffa, who helped Michael Mann construct his iconic hockey stick, that the position of the polar timber line, the northern most point at which trees can grow, was the tree metric Russia uses for measuring historic changes in Arctic temperature. Hantemirov’s advice to Briffa was “… there are no evidences of moving polar timberline to the North during last century…“. That same polar timberline metric showed evidence of substantial movement during the medieval warm period, and other well documented historic warming and cooling events (Climategate email 0907975032.txt).

Western scientists seem to prefer tree rings – but even Mann’s colleagues admitted amongst themselves that tree rings are a questionable gauge of historic temperature. Climate scientist Tom Wigley wrote an email to Professor Michael Mann in 2003, in which he explained how his own son performed a high school science experiment which demonstrated Mann’s tree ring metric was likely measuring changes in precipitation rather than changes in temperature (Climategate 2 email 0682.txt).

We can only guess what Russian scientists thought of all this absurdity – but the evidence suggests they decided it was too funny watching Western climate scientists act like fools, to make a serious effort to interrupt the joke.

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climate-debate

50-Year U.S. Summer Temperature Trends: ALL 36 Climate Models Are Too Warm

by Dr Roy Spencer, Oct 20, 2022 in GloablWarming

I’ll get right to the results, which are pretty straightforward.

As seen in the accompanying plot, 50-year (1973-2022) summer (June/July/August) temperature trends for the contiguous 48 U.S. states from 36 CMIP-6 climate model experiments average nearly twice the warming rate as observed by the NOAA climate division dataset.

 

The 36 models are those catalogued at the KNMI Climate Explorer website, using Tas (surface air temperature), one member per model, for the ssp245 radiative forcing scenario. (The website says there are 40 models, but I found that four of the models have double entries). The surface temperature observations come from NOAA/NCEI.

The official NOAA observations produce a 50-year summer temperature trend of +0.26 C/decade for the U.S., while the model trends range from +0.28 to +0.71 C/decade.

As a check on the observations, I took the 18 UTC daily measurements from 497 ASOS and AWOS stations in the Global Hourly Integrated Surface Database (mostly independent from the official homogenized NOAA data) and computed similar trends for each station separately. I then took the median of all reported trends from within each of the 48 states, and did a 48-state area-weighted temperature trend from those 48 median values, after which I also got +0.26 C/decade. (Note that this could be an overestimate if increasing urban heat island effects have spuriously influenced trends over the last 50 years, and I have not made any adjustment for that).

The importance of this finding should be obvious: Given that U.S. energy policy depends upon the predictions from these models, their tendency to produce too much warming (and likely also warming-associated climate change) should be factored into energy policy planning. I doubt that it is, given the climate change exaggerations routinely promoted by environment groups, anti-oil advocates, the media, politicians, and most government agencies

climate-debate

Satellite Temperature Data Show Almost All Climate Model Forecasts Over the Last 40 Years Were Wrong

by C. Morrison, Oct 8, 2022 in DailySceptic

A major survey into the accuracy of climate models has found that almost all the past temperature forecasts between 1980-2021 were excessive compared with accurate satellite measurements. The findings were recently published by Professor Nicola Scafetta, a physicist from the University of Naples. He attributes the inaccuracies to a limited understanding of Equilibrium Climate Sensitivity (ECS), the number of degrees centigrade the Earth’s temperature will rise with a doubling of carbon dioxide.

Scientists have spent decades trying to find an accurate ECS number, to no avail. Current estimates range from 0.5°C to around 6-7°C. Without knowing this vital figure, the so-called ‘settled’ science narrative around human-caused climate change remains a largely political invention, not a credible scientific proposition. Professor Scafetta has conducted extensive work into climate models and is a long-time critic of their results and forecasts. In a previous work, he said many of the climate models should be “dismissed and not used by policymakers”. Along with around 250 professors, he is a signatory to the World Climate Declaration which states there is no climate emergency and also notes climate models are “not remotely plausible as global tools”.

Scafetta’s latest work grouped 38 major climate models into low, medium and high ECS values, ranging between 1.8°C and 5.7°C. He found that models in the medium and high category “ran hot” in over 95% and 97% of cases respectively. The lower models were said to have done better when compared to global warming calculated for the period by the major surface datasets of 0.52-0.58°C. But the UAH satellite data showed warming up to 30% less during this period, suggesting even the low warming models produced “excessive warming” from 1980-2021.

According to Scafetta, these results are showed that the ECS figure could be as low as 1.2-2°C. Particular concern is expressed about surface temperature records that “appear to be severely affected by non-climatic warming biases”. Scafetta concludes that surface-based temperature records are likely to be affected by warming biases, such as the urban heat island effect due to expanding urban development, and subject to natural oscillations that are not reproduced by climate models. He concludes: “The global warming expected for the next few decades may be even more moderate than predicted by the low ECS-GCMs [Global Circulation Models], and could easily fall within a safe temperature range where climate adaptation policies will suffice.”

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See also : Satellite Temperature Data Show Almost All Climate Model Forecasts Over the Last 40 Years Were Wrong

unclassified

CMIP6 GCM ensemble members versus global surface temperatures

by N. Scafetta, Sep 18, 2022 in Springer

Abstract

The Coupled Model Intercomparison Project (phase 6) (CMIP6) global circulation models (GCMs) predict equilibrium climate sensitivity (ECS) values ranging between 1.8 and 5.7 ∘∘C. To narrow this range, we group 38 GCMs into low, medium and high ECS subgroups and test their accuracy and precision in hindcasting the mean global surface warming observed from 1980–1990 to 2011–2021 in the ERA5-T2m, HadCRUT5, GISTEMP v4, and NOAAGlobTemp v5 global surface temperature records. We also compare the GCM hindcasts to the satellite-based UAH-MSU v6 lower troposphere global temperature record. We use 143 GCM ensemble averaged simulations under four slightly different forcing conditions, 688 GCM member simulations, and Monte Carlo modeling of the internal variability of the GCMs under three different model accuracy requirements. We found that the medium and high-ECS GCMs run too hot up to over 95% and 97% of cases, respectively. The low ECS GCM group agrees best with the warming values obtained from the surface temperature records, ranging between 0.52 and 0.58 ∘∘C. However, when comparing the observed and GCM hindcasted warming on land and ocean regions, the surface-based temperature records appear to exhibit a significant warming bias. Furthermore, if the satellite-based UAH-MSU-lt record is accurate, actual surface warming from 1980 to 2021 may have been around 0.40 ∘∘C (or less), that is up to about 30% less than what is reported by the surface-based temperature records. The latter situation implies that even the low-ECS models would have produced excessive warming from 1980 to 2021. These results suggest that the actual ECS may be relatively low, i.e. lower than 3 ∘∘C or even less than 2 ∘∘C if the 1980–2021 global surface temperature records contain spurious warming, as some alternative studies have already suggested. Therefore, the projected global climate warming over the next few decades could be moderate and probably not particularly alarming.

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climate-debate

Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data

by B.R. Scanlon et al., Jan 22, 2018 in PNAS

Significance

We increasingly rely on global models to project impacts of humans and climate on water resources. How reliable are these models? While past model intercomparison projects focused on water fluxes, we provide here the first comprehensive comparison of land total water storage trends from seven global models to trends from Gravity Recovery and Climate Experiment (GRACE) satellites, which have been likened to giant weighing scales in the sky. The models underestimate the large decadal (2002–2014) trends in water storage relative to GRACE satellites, both decreasing trends related to human intervention and climate and increasing trends related primarily to climate variations. The poor agreement between models and GRACE underscores the challenges remaining for global models to capture human or climate impacts on global water storage trends.

Abstract

Assessing reliability of global models is critical because of increasing reliance on these models to address past and projected future climate and human stresses on global water resources. Here, we evaluate model reliability based on a comprehensive comparison of decadal trends (2002–2014) in land water storage from seven global models (WGHM, PCR-GLOBWB, GLDAS NOAH, MOSAIC, VIC, CLM, and CLSM) to trends from three Gravity Recovery and Climate Experiment (GRACE) satellite solutions in 186 river basins (∼60% of global land area). Medians of modeled basin water storage trends greatly underestimate GRACE-derived large decreasing (≤−0.5 km3/y) and increasing (≥0.5 km3/y) trends. Decreasing trends from GRACE are mostly related to human use (irrigation) and climate variations, whereas increasing trends reflect climate variations. For example, in the Amazon, GRACE estimates a large increasing trend of ∼43 km3/y, whereas most models estimate decreasing trends (−71 to 11 km3/y). Land water storage trends, summed over all basins, are positive for GRACE (∼71–82 km3/y) but negative for models (−450 to −12 km3/y), contributing opposing trends to global mean sea level change. Impacts of climate forcing on decadal land water storage trends exceed those of modeled human intervention by about a factor of 2. The model-GRACE comparison highlights potential areas of future model development, particularly simulated water storage. The inability of models to capture large decadal water storage trends based on GRACE indicates that model projections of climate and human-induced water storage changes may be underestimated.
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better to know...?, climate-debate

Models, Climate Scientists Wrong Again…New Study Finds Jet Stream Strengthening, Not Weakening

by P. Gosselin,  Aug 9, 2022 in NoTricksZone

Alarmist climate research centers like the Potsdam Institute and the unquestioning media have been claiming for years that the Jet Stream is weakening, hence this would lead to greater weather extremes across the northern hemisphere due to blocking. Responsible for this of course is man-made global warming.

Hat-tip: The Klimaschau

But a recent paper by Samantha Hallam et al published in the journal Climate Dynamics looks at the seasonal to decadal variations in Northern Hemisphere jet stream latitude and speed over land for the period 1871–2011. The authors were unable to find any weakening of the sort climate alarmists have been warning about.

Quite to the contrary, the authors in fact found that the winter jet stream over the North Atlantic and Eurasia has increased in average speed by 8% to 132 mph. The authors found the 141-year trends in jet latitude and speed show differences on a regional basis and that jet speed shows significant increases evident in winter (up to 4.7 ms −1 ), spring and autumn over the North Atlantic, Eurasia and North America. Over the North Pacific, no increase was observed.

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Moreover, the Jet Stream was found to have shifted northward by some 330 kilometers. Overall, the paper’s findings contradict the claims of a weakening Jet Stream regularly made by the climate alarmists and their media minions.

Applying climate alarmist science, we’d have to conclude now, due to the strengthening Jet Stream, less weather extremes should be expected. This would be good news of course. But don’t expect the fear-porn media to look at this.

unclassified

Updated Atmospheric CO2 Concentration Forecast Through 2050 and Beyond

by R. Spencer, July 18, 2022 in WUWT

Summary

The simple CO2 budget model I introduced in 2019 is updated with the latest Mauna Loa measurements of atmospheric CO2 and with new Energy Information Administration estimates of global CO2 emissions through 2050. The model suggests that atmospheric CO2 will barely double pre-industrial levels by 2100, with a total radiative forcing of the climate system well below the most extreme scenario (RCP8.5) used in alarmist literature (and the U.S. national climate assessment), with the closest match to RCP4.5. The model also clearly show the CO2 reducing effect of the Mt. Pinatubo eruption of 1991.

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climate-debate

‘A Significant And Robust Cooling Trend’ In The Southern Ocean From 1982–2020 Defies Climate Models

by K. Richard, June 27, 2022 in NoTricksZone

A new study reports there has been a -0.3°C cooling in the Southern Ocean since 1982 per multiple observational data sets. The authors detail the “failure of CMIP5 models in simulating the observed SST cooling in the Southern Ocean.”

The Southern Ocean is today about 1-2°C colder than it has been for nearly all of the last 10,000 years (Shuttleworth et al., 2021, Civel-Mazens et al., 2021, Ghadi et al., 2020).

Image Source: Shuttleworth et al., 2021

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climate-debate

Why IPCC Climate Forecasts Are So Dodgy

by R. Barmy, May 5, 2022 in ClimateChangeDispatch

This is the fourth in a series of articles on the IPCC’s AR6 WG1 report. –CCD ed.

Margaret Thatcher helped create the United Nations Intergovernmental Panel on Climate Change (IPCC) in 1988. As an Oxford-trained chemist, she understood scientific principles and was concerned that we “… do not live at the expense of future generations.”

By 2002, the Iron Lady turned against global warming extremism by stating in her book Statecraft: Strategies for a Changing World, “What is far more apparent is that the usual suspects on the left have been exaggerating the dangers and simplifying solutions in order to press their agenda…” [bold, links added]

Thatcher’s comments of exaggeration and simplification were a prescient critique of the IPCC report Climate Change 2021: The Physical Sciences Basis.

The IPCC uses computer simulations to predict climate dangers and test solutions. An important step in the computer simulation of a real-world physical process is making sure the simulator can replicate the known history of that physical process.

If a computer model can accurately replicate a significant history of a known process, called hindcasting, it lends credibility that the correct equations are being used and will be able to predict future events.

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climate-debate

AR6 Model Failure Affirmed: ‘No Model Group Succeeds Reproducing Observed Surface Warming Patterns’

by K. Richard, Apr 25, 2022 in NoTricksZone

A new study published in Geophysical Research Lettershighlights the abysmal model performance manifested in the latest Intergovernmental Panel on Climate Change report (AR6). The 38 CMIP6 general circulation models (GCMs) fail to adequately simulate even the most recent (1980-2021) warming patterns over 60 to 81% of the Earth’s surface.

Dr. Scafetta places particular emphasis on the poor performance of the highly uncertain estimates (somewhere between 1.83 and 5.67°C) of equilibrium climate sensitivity (ECS) and their data-model agreement relative to 1980-2021 global warming patterns.

The worst-performing ECS estimates are the ones projecting 3-4.5°C and 4.5-6°C warming in response to doubled CO2 concentrations (to 560 ppm) plus feedbacks, as the 1980-2021 temperature trends are nowhere close to aligning with these trajectories.

Instead, the projected global warming by 2050 (~2°C relative to 1750) associated with the lowest ECS estimates and implied by the warming observed over the last 40+ years is characterized as “unalarming” even with the most extreme greenhouse gas emissions (no mitigation efforts undertaken) growth rate.

In addition to the conclusion that “no model group succeeds reproducing observed surface warming patterns,” poor modeling of heat transfer physics, ocean and atmospheric circulation patterns, polar sea ice processes…is also evident in the latest IPCC report.

“Accurately reproducing regional temperature differences over the past 40+ years is beyond the capability of climate model simulations, and even fails for major ocean basins and continents.”

The fundamental modeling failures in simulating responses to sharply rising greenhouse gas emissions over the last 40+ years “calls into question model-based attribution of climate responses to anthropogenic forcing.”

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climate-debate

Can Computer Models Predict Climate?

by Dr C. Essex, Apr 13,  2022 in BigPicturesNews

Guest post by Christopher Essex, Emeritus Professor of Mathematics and Physics, University of Western Ontario.

Christopher Essex

By Dr Christopher Essex

It is well known that daytime winter temperatures on Earth can fall well below -4°F (-20℃ ) in some places, even in midlatitudes, despite warming worries. Sometimes the surface can even drop below -40°F (-40℃ ), which is comparable to the surface of Mars. What is not so well known is that such cold winter days are colder than they would be with no atmosphere at all!

How can that be if the atmosphere is like a blanket, according to the standard greenhouse analogy? If the greenhouse analogy fails, what is climate?

Climate computer models in the 1960s could not account for this non-greenhouse-like picture. However modern computer models are better than those old models, but the climate implications of an atmosphere that cools as well as warms has not been embraced. Will computer models be able to predict climate after it is? The meteorological program for climate has been underway for more than 40 years. How did it do?

Feynman, Experiment and Climate Models
“Model” is used in a peculiar manner in the climate field. In other fields, models are usually formulated so that they can be found false in the face of evidence. From fundamental physics (the Standard Model) to star formation, a model is meant to be put to the test, no matter how meritorious.

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climate-debate

New Study: The CO2-Drives-Global-Warming ‘Concept’ Is ‘Obsolete And Incorrect’

by K. Richard, Mar 14, 2022 in NoTricksZone

“The IPCC concept that increasing carbon dioxide in the atmosphere causes global warming is three decades out-of-date.”  − Lightfoot and Ratzer (2022), Journal of Basic & Applied Sciences

In analyzing UAH global temperature and Mauna Loa CO2 records from 1979 to 2021, climate researchers Lightfoot and Ratzer (2022) report there has been “little, if any” correlation between these two variables during this period.

They assert that between 91 and 98% of Earth’s greenhouse gas effect is from water vapor, as CO2 and other trace gases contribute less than 5% to greenhouse gas forcing.

A solar minimum has just began in the current solar cycle 25. The declining solar output is projected to eventually lead to a ~1 to 1.2°C cooling over the next 30 to 40 years. Solar minimum periods are also accompanied by crop failures due to frost and weather extremes delivering excessive heat.

The authors conclude by suggesting the popularized conceptualization of CO2 as a driver of global warming has proven to be “obsolete and incorrect”.

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Image Source: Lightfoot and Ratzer, 2022
better to know...?, climate-debate

German Paper: “A Mild Additional Temperature Rise Of Around 1°K”… Drop Not Excluded By 2100!

by P. Gosselin, Mar 6, 2022 in NoTricksZone

In its most recent video, German site Die kalte Sonne here looks at a paper on CO2 climate forcing by Stefani 2021: Solar and Anthropogenic Influences on Climate: Regression Analysis and Tentative Predictions. The results point to only a moderately warming planet up to the year 2150.

To hype up climate warming alarm, IPCC scientists like to exaggerate CO2’s power to trap heat and warm up the atmosphere. But with every assessment report that the IPCC issues, the estimated value by which CO2 warms the planet steadily gets reduced as the observed warming keeps lagging behind what earlier models predicted.

In his paper, Frank Stefani and his team at the Helmholtz Center, Institute of Fluid Dynamics in Dresden, Germany looked at the impacts by CO2 and solar activity.

On average 1.1°C warming

Using double regression, the scientists evaluated linear combinations of the logarithm of the carbon dioxide concentration and the geomagnetic aa index as a proxy for solar activity. They reproduced the sea surface temperature (HadSST) since the middle of the 19th and ended up with a a climate sensitivity (of TCR type) in the range of 0.6 K until 1.6 K per doubling of CO2. The midpoint of this range is 1.1°C, a value many critical climate scientists have already estimated earlier, and thus far below the IPCC scary estimates.

The paper’s abstract elaborates further:

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better to know...?, climate-debate

Pielke Jr. on IPCC AR6 WG2 Release

by Pielke Jr., Feb28, 2022 in WUWT

An initial thread on the IPCC AR6 WG2 report released today

Whereas WG1 received a mixed review in my areas of expertise (specifically: poor on scenarios, solid on extremes), my initial reaction to the WG2 report is that it is an exceedingly poor assessment

The first observation is that the report is more heavily weighted to implausible scenarios than any previous IPCC assessment report

In particular, RCP8.5 represents ~57% of scenario mentions

This alone accounts for the apocalyptic tone and conclusions throughout the report.

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climate-debate

Why We Must “Quit Worrying About Uncertainty in Sea Level Projections”

by K. Hansen, Dec 2, 2021 in CO2Coalition

It is an interesting read but not because it presents good advice to the scientific community.  Rather, it presents the case that climate and ice models, which are used to make projections, are not up to the task.  While those who program climate models have been trained in what we know about the basic physics involved in the biggest sea level rise issue – ice sheet dynamics – the actual projections by those models depend on parameters that are loose guesses about things we don’t know.  As a result, Bassis says “…recent studies using climate and ice sheet models are, more and more often, coming to very different conclusions about future rates of sea level rise and even about the sensitivity of ice sheets to future warming…”  and because of that, he tells us:

“Large discrepancies among model projections of long-term sea level rise have spawned calls among the scientific community for scientists to work on reducing uncertainty. However, focusing on uncertainty is a trap we must avoid. Instead, we should focus on the adaptation decisions we can already make on the basis of current models and communicating and building confidence in models for longer-term decisions.”

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Kip Hansen is an expert on sea level and sea-level rise. Prolific author of numerous articles on the subjects. WUWT lists 445 commentaries and articles.

He has spent much of his adult life at sea, first as an officer on a merchant ship, and later as a USCG-licensed captain in the Caribbean, where he sailed with his wife while doing humanitarian work (mostly Dominican Republic).

He is a proud member of the CO2 Coalition.

 This commentary was first published by the CO2 Coalition, December 3, 2021

better to know...?, climate-debate

Physicists: Climate Model Error Overestimates CO2 Impact On Global Temps By Factor Of 5

by K. Richard, Nov 22, 2021 in NoTricksZone

A new study suggests CO2 molecules have little consequential impact affecting outgoing radiation, and that climate models attribute global temperature effects to CO2 that are fundamentally erroneous.

Russian physicists (Smirnov and Zhilyaev, 2021) have published a peer-reviewed paper in the Advances in Fundamental Physics Special Issue for the journal Foundations.

They assesses the role of CO2 molecules in the standard atmosphere and assert “we have a contradiction with the results of climatological models in the analysis of the Earth’s greenhouse effect.”

Key points from the paper include the following:

1. Climate model calculations of CO2’s impact on global temperatures are in error by a factor of 5 as a result of “ignoring, in climatological models, the Kirchhoff law” which says radiators are “simultaneously the absorbers.”

2. Change in the concentration of an optically active atmospheric component (like CO2) “would not lead to change in the outgoing radiative flux.”

3. CO2 molecules “are not the main radiator of the atmosphere.” Water vapor molecules are, and thus they “may be responsible for the observed heating of the Earth.”

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climate-debate

How good have climate models been at truly predicting the future?

by Gavin, Dec 4, 2019 in RealClimate

A new paper from Hausfather and colleagues (incl. me) has just been published with the most comprehensive assessment of climate model projections since the 1970s. Bottom line? Once you correct for small errors in the projected forcings, they did remarkably well.

Climate models are a core part of our understanding of our future climate. They also have been frequently attacked by those dismissive of climate change, who argue that since climate models are inevitably approximations they have no predictive power, or indeed, that they aren’t even scientific.

In an upcoming paper in Geophysical Research Letters, Zeke Hausfather, Henri Drake, Tristan Abbott and I took a look at how well climate models have actually been able to accurately project warming in the years after they were published. This is an extension of the comparisons we have been making on RealClimate for many years, but with a broader scope and a deeper analysis. We gathered all the climate models published between 1970 and the mid-2000s that gave projections of both future warming and future concentrations of CO2 and other climate forcings – from Manabe (1970) and Mitchell (1970) through to CMIP3 in IPCC 2007.

We found that climate models – even those published back in the 1970s – did remarkably well, with 14 out of the 17 projections statistically indistinguishable from what actually occurred.

We evaluated these models both on how well modeled warming compared with observed warming after models were published, and how well the relationship between warming and CO2 (and other climate forcings) in models compares to observations (the implied transient climate response) (see Figure). The second approach is important because even if an old model had gotten all the physics right, the future projected warming would be off if they assumed we would have 450 ppm CO2 in 2020 (which some did!). Future emissions depend on human societal behavior, not physical systems, and we can usefully distinguish evaluation of climate models physics from paths of future concentrations.

Figure 2 from Hausfather et al (2019) showing the comparisons between model predictions and observations for a) the temperature trends (above) and b) the implied Transient Climate Response (TCR) which is the trend divided by the forcing and scaled to an equivalent 2xCO2 forcing.

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climate-debate

Critical Solar Factors Ignored…IPCC AR6 Covers Up Scientific Flaws In Climate Models

by P. Gosselin, Aug 22, 2021 in NoTricksZone

According to the latest IPCC Assessment Report 6 (AR6), the observed temperature increase and the calculated temperature increase according to climate models have been almost the same 1.3 °C from 1750 to 2020.  The report shows a strong positive trend in solar shortwave radiation from 9/2000 to  6/2017, but its impact has been omitted in post-2000 warming calculations which explains the high temperatures since El Nino of 2015-2016.

For example, the temperature effect in 2019 is about 0.7 °C according to the AR6 science. Actually, the IPCC models give a 2019 temperature increase of 2.0°C (1.3°C + 0.7°C). This 54 percent error is due to the positive water feedback applied in climate models, which doubles the impact of other climate forcings and which, according to this natural experiment by climate, does not exist.

The amount of carbon dioxide in the atmosphere has increased by 32% since 1750. According to the AR6, this is only due to man-made anthropogenic emissions staying there (remain, accumulate) by an average of 44% per year and the rest has been absorbed by oceans and vegetation.

Approximately 25% of the atmospheric carbon dioxide changes annually from the oceans and vegetation. As a result, less than 6% of the initial amount of carbon dioxide in the atmosphere remains after 10 years, and therefore the increased amount of carbon dioxide in the atmosphere cannot be entirely anthropogenic origin with a permille value of -28%. The IPCC remains silent on permille values, as in the AR6 there is no word “permille”, which is a measure of the ratio of carbon isotopes and it has been used to analyze the origin of carbon dioxide, suitable for validating carbon cycle models.

Cover-up

The cover-up of this issue continues with the anthropogenic carbon dioxide lifetime in the atmosphere, which is now vaguely from hundreds of years to thousands of years. The removal rate of radioactive carbon from the atmosphere (a perfect tracer test for anthropogenic carbon dioxide) after 1964 is only 64 years. The recovery time of the total atmospheric amount of carbon dioxide to the level of 1750 can be estimated to be similar to that of its accumulation period, i.e. just under 300 years.

The AR6 report no longer shows the IPCC’s very own definition of the greenhouse effect, except in the glossary. The definition no longer contains the description for how greenhouse gas absorption of 158 Wm-2, which causes the greenhouse effect, creates downward infrared radiation downwards on the ground of 342 Wm-2. This is against fundamental physical laws because energy comes from nothing. The radiation to the surface consists of four energy fluxes, which according to the IPCC’s energy balance are: greenhouse gas absorption of 158 Wm-2, latent water heat 82 Wm-2, sensible heat (warm air) 21 Wm-2, and solar radiation absorption in the atmosphere 80 Wm-2. The three firstly mentioned energy fluxes totaling 261 Wm-2 maintain the greenhouse effect.

Fudging the forcings

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climate-debate

The IPCC’s attribution methodology is fundamentally flawed

by R. McKitrick, Aug 18, 2021 in ClimateEtc.

One day after the IPCC released the AR6 I published a paper in Climate Dynamics showing that their “Optimal Fingerprinting” methodology on which they have long relied for attributing climate change to greenhouse gases is seriously flawed and its results are unreliable and largely meaningless. Some of the errors would be obvious to anyone trained in regression analysis, and the fact that they went unnoticed for 20 years despite the method being so heavily used does not reflect well on climatology as an empirical discipline.

My paper is a critique of “Checking for model consistency in optimal fingerprinting” by Myles Allen and Simon Tett, which was published in Climate Dynamics in 1999 and to which I refer as AT99. Their attribution methodology was instantly embraced and promoted by the IPCC in the 2001 Third Assessment Report (coincident with their embrace and promotion of the Mann hockey stick). The IPCC promotion continues today: see AR6 Section 3.2.1. It has been used in dozens and possibly hundreds of studies over the years. Wherever you begin in the Optimal Fingerprinting literature (example), all paths lead back to AT99, often via Allen and Stott (2003). So its errors and deficiencies matter acutely.

The abstract of my paper reads as follows:

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