Category: Daily News

Misuse, Misquote, or Just Misunderstood? Readers Wanted for the Blob’s Latest Climate Panic

The Department of Energy’s A Critical Review of Impacts of Greenhouse Gas Emissions on the U.S. Climate has unleashed a Category 5 tantrum across climate science’s more excitable precincts. No surprise there. What is new, and potentially consequential, is that the Blob—our affectionate term for the climate-industrial complex—has chosen to focus its fury on claims that their research was misused or twisted in the DOE’s report.

With all the smoke and thunder, WUWT is uniquely positioned to cut through the noise and offer readers a rare public service: an actual forensic examination of these accusations. This post will enumerate the claims of misuse—as aired by the alarmist press and aggrieved researchers—quote them directly, reference the actual DOE report and cited studies, and invite readers (especially those who agree to an honest, source-based evaluation) to judge whether the charges hold any water.

Let’s give sunlight a chance to disinfect this process.

The Complaint Parade: What Scientists (and the Blob) Claim Was “Misused”

The press coverage since the report’s release has been almost comically uniform: scientists, whose research was cited, claim it was misrepresented, cherry-picked, or taken out of context. Some go further, accusing the DOE of outright deception or anti-scientific intent. Here are the most prominent examples, as reported in the major climate advocacy outlets:

1. Ben Santer: “Fundamentally Misrepresents My Work”

Ben Santer, a fixture in U.S. climate science, is quoted in WIRED:

“Santer’s research is also cited in the DOE report; he, like other scientists who spoke to WIRED, say the report ‘fundamentally misrepresents’ his work.”

Unfortunately, neither Santer nor the journalists specify exactly how or where his work was misrepresented in the DOE report. The complaint is long on adjectives, short on details. Readers: If you can pinpoint the passages in both the DOE report and Santer’s original research and make an independent assessment, WUWT will gladly publish your findings.

2. Zeke Hausfather: “Cherry-Picked Data”

Zeke Hausfather, another frequent media commentator, gets more specific. He objects to the DOE’s use of a chart from his 2019 paper to argue that “climate models have ‘consistently overestimated observations’ of atmospheric CO₂.” Hausfather’s complaint:

“They appear to have discarded the whole paper as not fitting their narrative, and instead picked a single figure that was in the supplementary materials to cast doubt on models, when the whole paper actually confirmed how well they have performed in the years after they were published.”

Let’s be clear: the DOE report does cite his chart and notes that, when you look at the IPCC’s model projections versus observations, models run “hot” compared to reality. But it’s also true that the original paper by Hausfather and colleagues argues for the general accuracy of climate models. Readers: Is this a cherry-pick, or is the DOE highlighting an aspect the mainstream glosses over? The footnotes in the report cite both the chart and Hausfather’s text. We encourage readers to review both and weigh in.

3. Joy Ward: “CO₂ Plant Experiments Don’t Prove What DOE Claims”

Ward, a biologist whose CO₂ enrichment studies are used to bolster the DOE’s argument that rising CO₂ “promotes plant growth (global greening), thereby enhancing agricultural yields”, is quoted in WIRED:

“Our studies indicate that major disruptions in plant development such as flowering time can occur in direct response to rising CO₂, which were not mentioned in the report.”
She adds that her experiments were in “highly controlled growth conditions” and not indicative of net agricultural outcomes under climate change.

Again, readers can consult the DOE section on “CO₂ fertilization” (Chapters 2 and 9) and compare to Ward’s publications. Is the DOE overselling, or simply presenting a perspective excluded from mainstream summaries? The report openly discusses model uncertainties, meta-analyses, and caveats.

4. Josh Krissansen-Totton: “My Research on Ancient Oceans Is Irrelevant”

Krissansen-Totton, an assistant professor at the University of Washington, is incensed that his work on ocean pH “billions of years ago” is cited to suggest that today’s modest pH changes are not unprecedented:

“[My] work on ocean acidity billions of years ago has ‘no relevance’ to the impacts of human-driven ocean acidification today…”

The DOE report states:

“The recent decline in [ocean] pH is within the range of natural variability on millennial time scales… ocean biota appear to be resilient to natural long-term changes in ocean pH since marine organisms were exposed to wide ranges in pH.”

Is this an unfair inference, or does the literature genuinely support resilience and variability claims? Readers with the stomach for geochemistry, take a look at the sources and make the call.

5. Jeff Clements: “My Findings Downplayed, But Not Misquoted”

A rare note of honesty: Clements, a Canadian marine biologist, says the DOE accurately described his findings that acidification impacts on fish behavior have been exaggerated. He simply wants the DOE to make clear that his conclusion about “relatively unaffected” fish behavior doesn’t mean all ocean species are equally safe:

“I want to make it clear that our results should not be interpreted to mean ocean acidification (or climate change more generally) is not a problem…”

The DOE report, for its part, cites Clements’ meta-analyses and notes the one-sidedness and exaggeration of acidification impact claims in the literature, including the “decline effect” in publication trends.

6. Richard Seager: “Models Getting Tropical Pacific Wrong”

Seager, of Columbia, objects to the use of his work in two ways:

“I think acceptance has been growing that the models have been getting something wrong in the tropical Pacific… what this means for the future however is very much an area of intense research.”
He also claims a separate study on crop yields was “misrepresented.”

Once again, specifics are scarce. The DOE report’s criticism of model-observation discrepancies is heavily footnoted, with direct citations to the source literature on model errors. Readers: Please bring your microscope.

7. Michael Mann and Andrew Dessler: “Cherry-Picking and Contrarianism”

Michael Mann doesn’t mince words, calling the report:

“a deeply misleading antiscientific narrative, built on deceptive arguments, misrepresented datasets, and distortion of actual scientific understanding. Then they dressed it up with dubious graphics composed of selective, cherry-picked data.”

Andrew Dessler echoes the complaint that the authors are “widely recognized contrarians who don’t represent the mainstream scientific consensus” and that “cherry-picking” is rampant—without ever detailing a single concrete example from the text.

What Do These Accusations Have in Common?

  • Vagueness: Most complaints are light on specifics. Only a handful (Hausfather, Ward, Krissansen-Totton, Clements) offer any details, and even those are open to interpretation.
  • Context Wars: Much of the outrage hinges on whether the DOE report failed to recite every caveat or to frame findings in the most alarming way. This is a demand for narrative control, not evidence of actual “misuse.”
  • Definitional Games: Accusations of “misrepresentation” often mean “I don’t like the implication,” not that the quote or citation is inaccurate.

How Readers Can Help

WUWT readers have the perfect opportunity to do what the Blob won’t: read the sources and compare. If you want to participate:

  • Select one of the above claims.
  • Read the relevant section in the DOE report and compare to the original scientific paper or its abstract.
  • Evaluate whether the report misquoted, mischaracterized, or “cherry-picked.”
  • Post your findings in the comments, with quotes or page references.

We’ll highlight the best contributions in a future post. WUWT can lead the way in fact-checking the fact-checkers.

Final Word: Sunlight or Slogan?

The Blob’s “misuse” narrative is just that: a narrative. It’s not supported by much in the way of evidence, and it smacks of a defensive reflex against any challenge to climate orthodoxy. If the DOE report is guilty of scientific malpractice, it should be easy to demonstrate—with specifics. The fact that critics rarely do so tells its own story.

Let’s have a real debate, with real facts, in real context. Read, compare, and decide for yourself. If the DOE report “twisted” the science, it will be obvious to any fair-minded reader. If not, perhaps it’s time the Blob found a new talking point.


References
All quotes and specifics above are sourced directly from:

Let’s see if the Blob is ready for a real audit—or just another round of hashtag activism.


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August 1, 2025 at 08:01AM

To Aspirate or Not to Aspirate.

Guest Post by Dr Eric Huxter.

Dr Eric Huxter has been a teacher and researcher of Earth Science for over 40 years. His published doctoral thesis is available here. Eric states in his introductory biography:

“I have been intrigued by the growth in alarmism over climate change and its dominance of public policy.

Given the definition of climate (climate normal) as the mean state of the atmosphere in a region calculated from 30 years of data there is no doubt that climates over the earth change and do so over scales of twice climate normal to millennia. From our understanding of the past it is clear that these changes occur as a series of natural cycles of different frequencies and length.

It is now received wisdom that humans have broken the supremacy of natural climate change.

This blog is designed to investigate aspects of the loose (frayed) ends left by fixating on carbon dioxide.”

I publish below the first of two excellent reports from this must read Blog https://frayedendsblog.wordpress.com/

To Aspirate or Not To Aspirate?

As already discussed on this blog the Meteorological Office has over the past 35 years undergone a programme of replacing manually read Liquid in Glass Thermometers (LIGTs), 0.1°C precision, with continuously recording Platinum Resistance Thermometers (PRTs), 0.01°C (±0.02-0.05°C) precision.

The World Meteorological Organisation CIMO Guide (WMO-No. 8, §2.1.3.3) specifies a 60 s averaging interval for PRT readings but in the WMO Technical Regulations Manual on Codes (WMO-No. 306) it states that while a 1 min averaging period is the minimum and most suitable, averaging periods of up to 10 min are acceptable. I apologise for stating in earlier posts that 5 minutes was recommended by the WMO. This specification is designed to pick up step changes in air temperature within 20 seconds, a measurement impossible with traditional LIGTs. With PRT technology we are measured enhanced details in air temperature which have not been measurable before through greater temporal and thermal precision.

The time constant (response time) of PRTS is far shorter than LIGTs as shown by Burt & de Podesta (2020).

and the Transient response bias of PRTs is clear, especially under low wind conditions. The 3 m.s-1 assumes an aspirated screen.

The PRTs are housed in Stevenson Screens, as LIGTs, but they are more susceptible to the Aitken effect and the fact that 99.99% of airflow is below the assumed minimum (Burt 2020). The Meteorological Office does not routinely use aspirated screens.

Without access to the 1 minute averaged raw data from the Meteorological Offices Synoptic & Climatic network the easiest source of temperature data is from weatherobs.com which generates generally hourly, but shorter intervals from some stations, weather data including the 1min average temperature at that time. However we have no indication of the variability between the hours.

Monitoring UK maximum Daily Temperature as published by the Meteorological Office on its ‘Extreme’ page and its ‘X’ feed, and weatherobs.com, allows a data base to be compiled of daily Maxima and a record of hourly changes from that station, and I have taken 0900 – 1800 readings. Until recently the Meteorological Office enquiries desk had been very helpful in supplying the exact time the record temperature was logged, but they have gone quiet over the past two weeks.{Ed note: exactly my experience} From this information the ‘spike’ in temperature from the previous hour (if known) or from the maximum 1 minute average on the hour can be calculated. This has allowed ‘spikey’ comments to be blogged or ‘X’d.

The real question is how far these short term spikes are recording the ‘true’ meteorological signal and how far they are thermal noise from the Aitken effect, low ventilation rates and local heat sources. To study this I am very grateful to Ray Sanders for introducing me to the data feed from the University of Hull weather station via the Meteorological Office WOW page. The University rates this site as CIMO 4 but it is an aspirated station with 5 minute average, which will provide an excellent baseline for identifying the ‘true’ meteorological signal, allowing for its CIMO class. Conveniently there is a Meteorological Office Synoptic & Climate weather station at Hull East Park, at a similar altitude 5km to the ESE.

Since Ray drew my attention to this happy pairing, in early June, I have tried to collate the data from both sites. The University site is easy since it holds a complete record of its data, the weatherobs.com only holds the past 7 days, therefore I have missed some of the Hull East Park readings. Given that the University reports every 5 minutes and East Park every hour only the on the hour readings from the University have been used for comparability. Whilst there is data drop from my inefficiency it is also worth commenting on the data drop from these sensors. When tabulated dropped data times are ignored which makes processing these data trickier than it ought to be.

We can therefore plot the temperature from the two stations.

What’s not to like, they look pretty much the same and while there is some variation it is, in Climate Science parlance, ‘not by much’ so why worry?

Unpacking this variation suggests that there is a systematic bias in the non-aspirated station. For each day with data from both sites the hourly maximum and minimum temperatures, and hence the daily mean, can be extracted. If the non-aspirated station reflected the ‘true’ meteorological signal we would expect an even distribution of each station being above or below the other’s recorded temperature. However this is not the case.

East Park consistently records higher temperatures than the University, with more higher minimum temperatures.

Over the data set the East Park site averages 0.2°C warmer with greater extremes. This systematic effect will have a distinct impact on Records and Trends, given that 86.6% of the UK’s Synoptic & Climate network are CIMO class 3/4/5.

It is therefore not too much of a stretch to suggest that much of the apparent warming over the past 50 years, especially with the acceleration of warming in the 1990s, is the result of the Meteorological Office progressively replacing LIGTS with PRTs in poorly sited stations, which over record the actual temperatures. The apparent increase is greatest in minimum temperatures, but these data show more impact on these temperatures. It can therefore he postulated that we have two separate populations of temperature records, those from LIGTs and those from PRTs, the result of ‘inhomogeneities’ (Burt & de Podesta 2020) in the temperature records which have a greater impact on the maximum and minimum temperatures.

This can be seen at the global scale:

The lack of curiosity in what we are actually measuring and how it relates to what we used to measure is worrying. As Burt & Podesta (2020) report the meteorological studies of LIGT or PRT time constants is ‘rather scant’ and this suggests that confirmation bias is at work, ‘we know it is warming, we know why it is warming and PRTs tell us it is warming’. Far reaching public policy is being based on this fundamental scientific failing.

Reference

Burt S & de Podesta M, 2020. Response times of meteorological air temperature sensors. Quarterly Journal of the Royal Meteorological Society 146:731 pp. 2789-2800

—————————————————————————————————————

As a codicil I would also like to add my personal thanks to Hull University SuDSLab for their very professional and scientific assistance they freely offered me, a stark contrast to the Met Office attitude. An interesting you tube clip about them.

https://www.youtube.com/watch?v=q5k_ZQcEoVw

A second equally illuminating further guest post by Eric will follow further demonstrating “spikiness” and the misinformation induced by Met Office teleology.

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August 1, 2025 at 05:46AM

A Critical Review of Impacts of Greenhouse Gas Emissions on the U.S. Climate

By Paul Homewood

Climate sceptics have long called for a genuinely independent review of climate science – a Blue v Red Team, as it were.

Thanks to the US Energy Secretary, here it is:

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https://www.energy.gov/sites/default/files/2025-07/DOE_Critical_Review_of_Impacts_of_GHG_Emissions_on_the_US_Climate_July_2025.pdf

The authors make it clear they only undertook the task on the guarantee there would be no editorial oversight by the government.

This is the Executive Summary:

This report reviews scientific certainties and uncertainties in how anthropogenic carbon dioxide (CO2) and other greenhouse gas emissions have affected, or will affect, the Nation’s climate, extreme weather events, and selected metrics of societal well-being. Those emissions are increasing the concentration of CO2 in the atmosphere through a complex and variable carbon cycle, where some portion of the additional CO2 persists in the atmosphere for centuries.

Elevated concentrations of CO2 directly enhance plant growth, globally contributing to “greening” the planet and increasing agricultural productivity [Section 2.1, Chapter 9]. They also make the oceans less alkaline (lower the pH). That is possibly detrimental to coral reefs, although the recent rebound of the Great Barrier Reef suggests otherwise [Section 2.2].

Carbon dioxide also acts as a greenhouse gas, exerting a warming influence on climate and weather [Section 3.1]. Climate change projections require scenarios of future emissions. There is evidence that scenarios widely-used in the impacts literature have overstated observed and likely future emission trends [Section 3.1].

The world’s several dozen global climate models offer little guidance on how much the climate responds to elevated CO2, with the average surface warming under a doubling of the CO2 concentration ranging from 1.8°C to 5.7°C [Section 4.2]. Data-driven methods yield a lower and narrower range [Section 4.3]. Global climate models generally run “hot” in their description of the climate of the past few decades − too much warming at the surface and too much amplification of warming in the lower- and mid-troposphere [Sections 5.2-5.4]. The combination of overly sensitive models and implausible extreme scenarios for future emissions yields exaggerated projections of future warming.

Most extreme weather events in the U.S. do not show long-term trends. Claims of increased frequency or intensity of hurricanes, tornadoes, floods, and droughts are not supported by U.S. historical data [Sections 6.1-6.7]. Additionally, forest management practices are often overlooked in assessing changes in wildfire activity [Section 6.8]. Global sea level has risen approximately 8 inches since 1900, but there are significant regional variations driven primarily by local land subsidence; U.S. tide gauge measurements in aggregate show no obvious acceleration in sea level rise beyond the historical average rate [Chapter 7].

Attribution of climate change or extreme weather events to human CO2 emissions is challenged by natural climate variability, data limitations, and inherent model deficiencies [Chapter 8]. Moreover, solar activity’s contribution to the late 20th century warming might be underestimated [Section 8.3.1].

Both models and experience suggest that CO2-induced warming might be less damaging economically than commonly believed, and excessively aggressive mitigation policies could prove more detrimental than beneficial [Chapters 9, 10, Section 11.1]. Social Cost of Carbon estimates, which attempt to quantify the economic damage of CO2 emissions, are highly sensitive to their underlying assumptions and so provide limited independent information [Section 11.2].

U.S. policy actions are expected to have undetectably small direct impacts on the global climate and any effects will emerge only with long delays [Chapter 12].

For too long, government employed or grant funded climate scientists have been allowed to skew the debate. Public policy and climate science have fed off each other.

Now the US has a genuinely impartial body of work, on which to base policy decisions.

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August 1, 2025 at 05:18AM

OBBB isn’t all beautiful, but it’s pretty magnificent

Some great news on energy.

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August 1, 2025 at 05:16AM