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Showing posts with the label AGW

Emergence of Climate Impact Factors in IPCC Assessments

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There is a table floating around X and other social media outlets being used to claim that even the IPCC acknowledges that most extreme weather events are not increasing in frequency or severity. This claim comes from a misreading of Table 12.12 in the AR6 report from the IPCC. The line of reasoning comes almost entirely from this chart, and in the past, I've responded to several people making these claims by quoting from the text of AR6 to clarify what it says about some of these climate impact drivers (CIDs). But Tim Osborn put together a series of posts on X that does a better job of explaining how badly these people are misreading the chart. Following extended arguments on X is sometimes difficult, especially for those who (like me) don't pay to be able to make longer posts. So I thought it would be helpful to reproduce his argument here in a manner that is more easy to digest without the need to scroll through several posts and hope you're keeping them in order. I wan...

Happer Contradicts Himself on Climate Sensitivity

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W. A. van Wijngaarden and William Happer (WH) have periodically attempted to circumvent publishing manuscripts in peer-reviewed journals and have instead taken to uploading manuscripts on the arXiv. As I understand it, the intended use for the arXiv is to allow pre-published manuscripts to be read and evaluated by scientists before the peer-review process is completed. This gives scientists faster access to the newest research, but with the caveat that these manuscripts may need to be revised significantly before being published, once going through the peer review process. Some may not even be published at all, so scientists often look at these manuscripts with interest but also with a grain of salt until the final version passes peer review. WH are apparently using the arXiv to store manuscripts for which they have no intention of submitting to any peer-reviewed journal. The manuscripts are formatted to look like scientific papers, but they will never see the light of day in an ac...

Is Patrick Brown Right that the Most Prestigious Journals are Biased?

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Patrick Brown recently published a blogpost in which he suggested that in order to get published in highly prestigious journals, you have to follow a "not-so secret" formula. Another version of this shows up in the Free Press . According to Brown, "the formula is more about shaping your research in specific ways to support pre-approved narratives than it is about generating useful knowledge for society." Now I want to be clear about a few things before I get into this. First, it appears he's not attacking peer-reviewed journals in general or even highly respected journals a tier below the top echelon of Nature and Science . It also doesn't appear that he thinks these journals are forcing a narrative that isn't true; only that they are preferentially selecting the negative aspects of AGW over others factors, and science would benefit if these journals published more useful and comprehensive analyses. And he also seems to acknowledge that the kinds of mo...

Does Cold Weather Kill More than Hot Weather?

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If you follow contrarian talking points on social media, you might get the impression that cold weather kills more people than hot weather, and so global warming will result in fewer deaths, and lives will be saved as the planet warms. You can see this in this graph from Bjorn Lomborg, based on a Lancet study[1] that quantifies "cold-related" and "heat-related" deaths. This kind of thinking may seem superficially convincing, but with a little investigation, much of what is being said by Lomborg (and others) is incredibly misleading. It's based on a misunderstanding of what these types of studies say, as well as some flawed logic about how deaths will be affected by warming.  Cold vs Hot Related Deaths This Lancet paper is one of many[2][3] based on a concept of "minimum mortality temperature" (MMT), which is defined as the mean temperature at which non-accidental death rates in any particular location is the lowest.  In most places the mortality rate i...

Debaters Behaving Badly, Part 6 - Misrepresenting Scientific Sources

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This is Part 6 in a series on Debaters Behaving Badly . In this post, I'm considering the rampant misuse of scientific papers in public discourse, whether intentionally or unintentionally. Monckton vs Lambert 2010 In Sidney on February 12, 2010, Christopher Monckton participated in a debate with Tim Lambert  about climate change. The debate is on YouTube in 15 parts, and when referencing it, I'll link to the part of the debate that I'm referring to. In this debate, Monckton argued that satellite measurements have uncovered a global brightening from 1983 to 2001 that demonstrates natural forcings dominate climate influences, and sensitivity to CO2 must therefore be extremely small. That claim of Monckton came from some calculations made from a paper by Rachel Pinker published in 2005[1]. In the debate , he took a value for what he calls "cloud forcings" at 3.05 W/m^2 from 1983-2001 and added to it both CO2 and "other" external forcings, then came up with ...

Is there a Global Average Temperature? Part 1

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Update 1/16/2025: I wrote a Part 2 for this post. As I write this, at least two reanalyses are showing what are still preliminary reports of record high temperatures, exceeding the warmest temperatures observed in the instrumental record. If these results hold up to scrutiny over the next couple weeks or so, this will be the hottest week on record. I want to say more about this in a future post, perhaps after the temperatures for these days are confirmed. But events like this sometimes bring out the worst in public debate, with some of extremists on the contrarian side going to the lengths of denying that there is even such a thing as a global average temperature. Now I've become used to reading contrarians claiming that the instrumental record is in some sense unreliable, either because of claims that the data isn't sound or that it's being deliberately corrupted in support of an alarmist narrative. But the outright denial of the concept of a global average temperature...

Updating the Lewis & Curry Estimate for ECS

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One of the most common studies cited in favor of a low equilibrium climate sensitivity (ECS) was published by Lewis and Curry in 2018 (LC18).[1] Their paper used the standard energy balance equation I've used in previous blogposts to estimate both ECS and TCR. They arrived at median estimates with 95% uncertainties of 1.66 C for ECS (1.15–2.7 C) and 1.33 C for TCR (1.0–1.9 C). These values are significantly below the range estimated by the more recent IPCC assessment reports. Since the publication of this paper, Sherwood et al 2020[2], published what may be the most comprehensive assessment of ECS and found a 95% range of 2.3–4.7 C. Argument of LC18 So I thought it might be interesting to do a back-of-the-envelope style update to LC18. I think there are several reasons why this can be valuable. Since the publication of this paper, a number of new insights have been published: The publication of HadCRUT5 had significant improvements over HadCRUT4, even the dataset with kriging to li...