More Studies Published Discrediting Climate Alarm
In 2024 it can be difficult to sort wheat from chaff in the peer-reviewed literature
There has always been better and worse science — that goes with the territory — but as I argued last week, we are now in an era of tactical research, with science curated to advance narratives over knowledge.
That makes knowing what’s what even more difficult.
I spend a lot of time here at THB on the chaff, and by reader request, I am going to try to spend more time also on the wheat.
To that end, this week has already seen cross my desk an unusually large number of really interesting recent peer-reviewed papers that I’m sharing with you today.
Let’s get to it . . .
A recent surge in global warming is not detectable yet (Beaulieu et al. 2024, open access). Top line results:
“Our results show limited evidence for a warming surge; in most surface temperature time series, no change in the warming rate beyond the 1970s is detected despite the breaking record temperatures observed in 2023.”
The paper employs the traditional IPCC framework for detection and attribution and assesses what levels of global temperature increases would have to occur to achieve detection. The authors find that the recent “surge” is not very close to that magnitude of increase:
“Accounting for the short-term variability in the HadCRUT GMST over 1970–2023 and the added uncertainty for the changepoint location, the second segment (2013–2023) would need a slope of at least 0.039∘C/year (more than a 100% increase) to be statistically different than 0.019 at the α = 0.05 significance level right now.
The estimated slope of 0.029 ∘C/year falls far short of this needed increase. While it is still possible there was a change in the warming rate starting in 2013, the HadCRUT record is simply not long enough for the surge to be statistically detectable at this time.”
This paper is sure to motivate much debate as it is contrary to gobsmacking claims made by some visible scientists. Debate is good for science and for science in the public eye.
Crucial role of sea surface temperature warming patterns in near-term high-impact weather and climate projection (Zhao and Knutson 2024, open access). Top line results:
- “Model biases in SST [sea surface temperature] trend patterns are shown to have profound implications for near-term projections of high-impact storm statistics, including the frequency of atmospheric rivers, tropical storms and mesoscale convection systems, as well as for hydrological and climate sensitivity.
- If the future SST warming pattern continues to resemble the observed pattern from the past few decades rather than the model-simulated/predicted patterns, these results suggest:
- A drastically different future projection of high-impact storms and their associated hydroclimate changes, especially over the Western Hemisphere.
- Stronger global hydrological sensitivity.
- Substantially less global warming due to stronger negative feedback and lower climate sensitivity.”
This paper identifies systematic biases in how climate models represent ocean temperatures and explores the implications of these biases for projections of the climate future.
The paper concludes:
“Our results indicate that if the future SST trend pattern continues to resemble the observed pattern from the past few decades rather than that simulated or predicted by climate models, we would anticipate a drastically different picture of future changes of high-impact storm statistics . . .”
This paper will also likely motivate some interesting discussions and future work.
The most important implication for consumers of climate research is to recognize that our near-term climate future likely encompasses a much wider range of possibilities than we (collectively) generally expect or hear discussed.
Robust future projections of global spatial distribution of major tropical cyclones and sea level pressure gradients (Murakami et al. 2024, open access).
I found this paper particularly interesting because it was published just a few weeks before Hurricanes Helene and Milton made landfall on the U.S. Gulf Coast, killing hundreds and resulting in tens of billions of dollars in economic losses.
As you can see in the figure below, this new paper projects a significant decrease (blue shading) in the strongest hurricanes in the Gulf of Mexico.
I share this paper not because I believe its projections over other studies — actually, tell me what result you want for projected future hurricane incidence and I can produce a peer-reviewed study to support that view! — but because it is at odds with major media reporting and claims by activists (including some scientists) about trends and projections in hurricanes.
The gap between popular climate discourse and peer-reviewed research (including the assessments of the IPCC WG1) remains massive. This paper offers another timely example.
See more here Climate Dispatch
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