What Happened To The Express’ Monster Hurricane?

From NOT A LOT OF PEOPLE KNOW THAT

By Paul Homewood

I must have slept through this hurricane a few days ago!

From the Express:

The UK is bracing for the arrival of Hurricane Kirk, which is expected to bring brutal weather conditions, with winds reaching up to 70mph.

A shocking weather forecast from WX Charts shows the storm system sweeping in from the Atlantic, with peak gusts and rainfall threatening to cause widespread disruption on Wednesday and Thursday of this week.

According to the charts, the storm will bring gale-force winds that could see peak gusts reaching up to 75mph across parts of the UK, particularly impacting coastal areas.

The South Coast will be worst hit as the ex-hurricane makes its way through the English Channel.

The latest weather charts, valid for 6am on Thursday, show intense wind fields expanding from the Atlantic, engulfing Ireland, Wales, and Scotland by noon.

In addition to strong winds, WX Charts reveal that large areas of the UK could see significant rainfall, with accumulations between 30-40mm over a 24-hour period. Southern parts of England could be hit with over 100mm on rain.

https://www.express.co.uk/news/weather/1957874/storm-tracker-map-hurricane-kirk-uk-weather-warning

As the storm system moves east, the winds will continue to build, battering much of the country, with gusts in excess of 62 mph predicted across central and northern parts of the UK.

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October 13, 2024 at 12:07AM

Breaking News: Sunburn and Asphalt Don’t Mix – Another Study States the Obvious

Abstract

High and low daily ambient temperatures are associated with higher mortality in the general population. People experiencing homelessness (PEH) are thought to be particularly vulnerable, but there is almost no direct evidence available. We examined the temperature-mortality association among PEH in 2 populous, urban counties in hot-climate regions of the United States, focusing on heat effects. Study setting was Los Angeles County, CA, and Clark County, NV, which encompass the cities of Los Angeles and Las Vegas, respectively. Outcomes were 2015-2022 deaths among decedents categorized as homeless in county administrative records. We used quasi-Poisson distributed lag nonlinear models to estimate the association of mortality with daily temperatures and with 7-day lagged temperatures, adjusting for day of week, seasonality, and long-term trends. We estimated the minimum mortality temperature and fraction of mortality attributable to temperatures above and below minimum mortality temperature. The association between daily temperature and PEH mortality was skewed towards greater risk at higher temperatures, especially in Clark County. Temperature-attributable mortality equaled 50.1% of deaths in Clark County (95% CI, 29.0-62.8) and 7.0% in Los Angeles County (95% CI, 1.4-12.1). In both counties, most temperature-attributable deaths were attributable to heat rather than cold. In these hot-climate urban counties, our estimates of heat-attributable mortality among PEH were orders of magnitude greater than those reported in prior research on the general population. These results indicate that temperature vulnerability, particularly heat vulnerability, requires stronger public health and policy responses.

https://academic.oup.com/aje/advance-article-abstract/doi/10.1093/aje/kwae084/7689061?redirectedFrom=fulltext

Alright, let’s break this down: a study concludes that people lying out in the street—most of whom are drug addicts—are more likely to die on a hot day than those who are inside with air conditioning. Well, stop the presses! Who could have guessed that baking on asphalt like an egg on a skillet might not be conducive to longevity?

This kind of study is a prime example of the mind-bending banality that passes for scientific insight these days. Our elite academic institutions, seemingly incapable of grappling with real problems, give us these groundbreaking revelations. Next up, perhaps they’ll inform us that people are more likely to drown in water than on dry land.

What makes this situation truly absurd isn’t just the waste of time and money on such a blindingly obvious conclusion. No, it’s the fact that these “findings” will inevitably be spun into policy recommendations. Cue the sanctimonious cries for more taxpayer dollars to fund air-conditioned safe spaces for those suffering from addiction. Because that’s the real solution, right? Just give the government more control and money to fix the problem, as if bureaucrats are going to solve the complex, entrenched issues of homelessness, addiction, and mental illness with central air conditioning and sun hats.

There’s a more serious issue here, though, and it’s one the media won’t touch: why are people lying in the streets in the first place? Could it be that decades of permissive policies, under the guise of “compassion,” have only exacerbated the homelessness and addiction crises? We’ve effectively normalized drug use, failed to enforce laws, and allowed cities to deteriorate into open-air homeless encampments. But instead of addressing those uncomfortable truths, we get another ivory tower study reminding us that it’s hot outside.

Let’s be real here. The tragic deaths of people sweltering in the streets are a symptom of a much larger problem. These individuals aren’t victims of climate change—they’re victims of societal breakdown, enabled by politicians who refuse to enforce laws and by a culture that increasingly rejects personal responsibility. But instead of confronting that, we get a study that hand-wrings about the obvious: heat kills.

What’s next? Perhaps we’ll get a follow-up study: “Drug addicts lying in snow are more likely to freeze to death than those who are inside with central heating.” It would be funny if it weren’t so tragically stupid.

Here is the entire press release from EurekAlert!

Boston University School of Public Health

FOR IMMEDIATE RELEASE

Thursday, October 10, 2024

##

By nature of their living situation, people experiencing homelessness (PEH) are considered one of the most vulnerable populations to the health impacts of extreme weather.

PEH are particularly vulnerable to heat, and the impact of heat on mortality in this group is substantially greater than for the general population, according to a new study by Boston University School of Public Health (BUSPH).   

Published in the American Journal of Epidemiology, the study examined mortality rates in two hot-climate US counties—Clark County in Nevada, which includes Las Vegas, and Los Angeles County in California—and found that daily heat played a significant role in mortality among PEH.

This association was especially notable in Clark County, where nearly 50 percent of deaths during the study period were attributable to higher daily temperatures. Although LA County observed a smaller percentage of heat-attributable deaths, at 5.2 percent, daily heat appeared to contribute to many more deaths than daily cold in both counties.

The study is the first to examine heat-attributable mortality among PEH, providing valuable public health insight as the West Coast reels from an unprecedented October heatwave that has prompted numerous heat alerts in parts of LA and Las Vegas, where temperatures soared to 111 degrees and 104 degrees, respectively, in recent days. Both cities also continue to grapple with persistently high homelessness rates that far exceed the national average. Quantifying the impacts of extreme heat on PEH can inform new interventions and policies that reduce illness and mortality rates among this largely unsheltered population.

“It wasn’t a surprise that our team found an association between heat and mortality for unhoused people, but the magnitude was staggering,” says study senior and corresponding author Dr. Jonathan Jay, assistant professor of community health sciences at BUSPH. “Our estimates are 10 to 100 times greater than the known associations between daily heat and mortality for the general population in LA and Las Vegas, and this finding highlights the moral imperative for our systems to do more.”

He says the new findings also show that heat exposure is an important factor amplifying the vast health inequities for PEH, and highlight the need to center the most marginalized populations in research on climate and health.

For the study, Dr. Jay and colleagues from BUSPH and the David Geffen School of Medicine at the University of California, Los Angeles utilized mortality and daily temperature data for Clark and Los Angeles counties from January 2015 to August 2022 (for Clark County) and November 2022 (for LA County). The team analyzed deaths from all causes, rather than just deaths that were acutely heat- or cold-related (such as fatal heat stroke or hyperthermia), to ensure that the analysis captured all external causes of death as a result of high temperatures. Hot weather was defined as daily temperatures above the minimum mortality temperature (MMT)—the temperature at which mortality risk is lowest in each area—which was 11.6 Celsius (52.8 degrees Fahrenheit) for Clark County and 19.3 Celsius for LA County (66.7 degrees Fahrenheit).

After accounting for long-term and seasonal trends, days of the week, and cumulative effects of consecutive days’ temperatures, the researchers found that mortality risk among PEH increased in both hotter and colder temperatures. The heat was especially harmful in Clark County, where 15 percent of deaths were due to acutely heat-related causes, compared to 0.2 percent in LA County. Extremely hot days accounted for nearly 25 percent of all deaths in Clark County and 2.2 percent of all deaths in LA County.

“It was important to see that deaths increased as daily temperatures increased, from cool days to warmer days, and they spiked on hotter days, starting around 90 degrees Fahrenheit and higher,” Dr. Jay says. “That’s hot, but it’s not even close to the hottest temperatures these cities experience,” he adds, which suggests that public health advocates should be extra vigilant in providing heat-related support beyond the summer season, as climate change continues to extend the number and length of heat waves each year.

Public health strategies that can mitigate heat impacts among PEH in communities include cooling centers, water stations, greening, and reflective painting, the researchers say. But, ultimately, these strategies should embrace a “Housing First” approach, as the primary cause of homelessness is a lack of affordable housing. California, in particular, is consistently ranked as one of the most expensive states to live in the US. Policies that promote stable housing and other financial support for PEH are even more critical following the Supreme Court’s ruling in June that permits cities to ban people from sleeping and camping in public places.

“Too much of our policy is driven by the impulse to hide homelessness from view, rather than to recognize people’s dignity, protect their health, and improve our systems,” says Dr. Jay. “The idea that policing is key to solving this problem is false, and it’s a miscalculation we make over and over again as a society.”

The lead author of the study is Dr. Zihan Lin, a BUSPH postdoctoral fellow at the time of the study and a current assistant professor of biological, geographical and environmental sciences at Cleveland State University.

**

About Boston University School of Public Health

Founded in 1976, Boston University School of Public Health is one of the top ten ranked schools of public health in the world. It offers master’s- and doctoral-level education in public health. The faculty in six departments conduct policy-changing public health research around the world, with the mission of improving the health of populations—especially the disadvantaged, underserved, and vulnerable—locally and globally.


Journal

American Journal of Epidemiology

DOI

10.1093/aje/kwae084 

Method of Research

Observational study

Subject of Research

People

Article Title

Daily heat and mortality among people experiencing homelessness in 2 urban US counties, 2015-2022 Get access Arrow

Article Publication Date

25-Sep-2024

COI Statement

G.A.W. serves as a consultant to the Health Effects Institute and recently served as a consultant for Google, LLC.

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October 12, 2024 at 08:05PM

True Skepticism in the Face of a 2023 Global Warming Spike Study

In recent days, climate skeptics have found support for their doubts about the so-called climate crisis. A recent study, The 2023 Global Warming Spike Was Driven by the El Niño–Southern Oscillation (Raghuraman et al., 2024), attributed the significant temperature spike in 2023 to natural causes, particularly the El Niño–Southern Oscillation (ENSO), rather than to anthropogenic factors. This seems like good news for those of us who have long been critical of the mainstream climate narrative. However, it’s important to remember that skepticism isn’t simply about accepting findings that align with our beliefs. Real skepticism demands a critical approach to all claims, including those that might seem to bolster our position.

Before we dive into why, let’s break down the study’s findings and the reaction it has generated in the climate skeptic community.

The Study: What’s It Really Saying?

Abstract

Global-mean surface temperature rapidly increased 0.29 ± 0.04 K from 2022 to 2023. Such a large interannual global warming spike is not unprecedented in the observational record, with a previous instance occurring in 1976–1977. However, why such large global warming spikes occur is unknown, and the rapid global warming of 2023 has led to concerns that it could have been externally driven. Here we show that climate models that are subject only to internal variability can generate such spikes, but they are an uncommon occurrence (p = 1.6 % ± 0.1 %). However, when a prolonged La Niña immediately precedes an El Niño in the simulations, as occurred in nature in 1976–1977 and 2022–2023, such spikes become much more common (p = 10.3 % ± 0.4 %). Furthermore, we find that nearly all simulated spikes (p = 88.5 % ± 0.3 %) are associated with El Niño occurring that year. Thus, our results underscore the importance of the El Niño–Southern Oscillation in driving the occurrence of global warming spikes such as the one in 2023, without needing to invoke anthropogenic forcing, such as changes in atmospheric concentrations of greenhouse gases or aerosols, as an explanation.

https://acp.copernicus.org/articles/24/11275/2024/

The study conducted by Raghuraman et al. (2024) takes a deep dive into the sharp 0.29°C global surface temperature increase observed between 2022 and 2023. While alarming on the surface, the authors provide evidence that this spike, while significant, was driven primarily by natural variability—specifically the El Niño–Southern Oscillation (ENSO) cycle. They argue that this spike is consistent with previous instances of similar natural warming events, such as the one seen in 1976–1977, and that there is no need to invoke anthropogenic factors like greenhouse gases or aerosol reductions to explain the phenomenon​.

The key point here is that the study uses climate models to show that such large warming spikes are rare but possible through internal climate variability alone. In unforced climate model simulations, warming spikes of this magnitude happen only 1.6% of the time. However, when an El Niño event is preceded by a prolonged La Niña, the probability of a spike jumps to 10.3%. Nearly all spikes (88.5%) in the models occur during El Niño events, highlighting the strong link between this natural climate cycle and short-term global temperature changes​.

Interestingly, the authors also provide a probabilistic breakdown to support their case. They show that individual factors like La Niña or El Niño alone can raise the likelihood of a spike to about 6%, but the combination of a prolonged La Niña followed by El Niño increases the odds significantly. This underscores the power of natural variability in generating sharp year-on-year warming spikes, a point often underplayed in the climate debate​.

In addition to examining 2023, the study also looks at historical warming spikes, pointing to similar events like the 1976–1977 spike that coincided with a similar La Niña–El Niño transition. Despite this similarity, the study admits that drawing broad conclusions from just two historical examples is difficult, which is why they rely on multi-century climate simulations that span thousands of years to capture a wider range of variability​.

The authors conclude that the 2023 spike can be explained by internal variability alone, with ENSO playing the dominant role. This challenges alarmist views that immediately point to human-induced climate drivers.

This detailed probabilistic analysis adds nuance to the discussion, but it also highlights the reliance on climate models, which brings us back to a key issue for skeptics: how much trust should we place in these models, given their known limitations? Even though this study appears to support a skeptic’s viewpoint, the underlying tools remain the same—models that fail at long-term prediction. Therefore, while this study may provide some context for 2023, it should not be treated as definitive proof without critically assessing the assumptions and limitations of the models involved.

What’s the Problem? The Danger of Cherry-Picking Studies

It’s tempting to take this study and run with it. After all, it gives climate skeptics the opportunity to point to peer-reviewed research that aligns with our views. But this raises an uncomfortable question: should we trust a study just because it seems to confirm our beliefs? The short answer is no.

For years, many skeptics have expressed well-founded criticisms of climate models, the very tools used in this study. These models have a notorious history of overestimating future warming, and their predictions often diverge significantly from observed temperatures. Even the Intergovernmental Panel on Climate Change (IPCC) has had to admit to such discrepancies. So, if we reject climate models when they predict runaway warming, should we embrace them when they tell us something we like?

This is the heart of true skepticism. We cannot afford to pick and choose when to apply our critical thinking. The reality is, this study relies on the same type of climate models that many of us have questioned for years. These models may be adjusted to simulate internal variability better than they have in the past, but they remain subject to the same uncertainties and assumptions that have always plagued them.

The Role of Climate Models: Uncertainty Still Reigns

One major issue with climate models is that they are only as good as the data and understanding we have of the climate system. For example, the models used in this study may do a somewhat decent job simulating ENSO cycles, but they still struggle with long-term forecasts and complex feedback mechanisms, such as cloud formation and ocean circulation patterns, that are critical to understanding climate dynamics over decades or centuries. This is precisely why many skeptics argue that climate models should not be used to justify sweeping policy decisions like the Green New Deal or Net Zero initiatives.

In this case, the study’s authors acknowledge the uncertainty inherent in their model-based approach. They note that while the models can reproduce warming spikes similar to 2023, these events are relatively rare in the simulations. Furthermore, the simulations suggest that while ENSO was the primary driver of the spike, other internal variability factors could have played a role. This leaves room for doubt and should temper any overenthusiastic interpretations of the study​.

Don’t Forget the Models’ Long-Term Failings

Another important aspect of skepticism is context. Even if this study accurately captures the dynamics of the 2023 warming spike, that doesn’t change the fact that climate models, in general, have a poor track record when it comes to long-term predictions. For example, back in the 2000s, many models predicted a steady rise in global temperatures, yet we experienced a so-called “hiatus” from roughly 1998 to 2013 where warming slowed considerably. This discrepancy between model predictions and real-world observations was downplayed by climate alarmists, but it’s a clear indication that models are far from perfect.

In this case, the authors of the 2023 study may have tuned their models to better simulate short-term variability, but that doesn’t mean the same models will perform well when projecting future warming trends decades into the future. Given that these models have consistently overshot actual temperature increases in the past, it’s reasonable to remain cautious about their predictions.

Natural Variability vs. Anthropogenic Forcing

One of the key takeaways from this study is the reminder that natural variability—things like ENSO, volcanic activity, and solar cycles—plays a crucial role in driving short-term climate fluctuations. While climate alarmists love to emphasize the role of CO2 and other greenhouse gases, they often downplay the significance of these natural forces, especially when they contradict the catastrophic warming narrative. By highlighting the role of ENSO in the 2023 spike, this study serves as a useful counterpoint to the oversimplified narrative that all warming is caused by human activity.

However, it’s also important not to fall into the trap of assuming that natural variability is the only factor at play. The climate system is undoubtedly complex, and while studies like this one suggest that natural forces were behind the 2023 spike, they don’t completely rule out the role of some anthropogenic factors. The challenge is distinguishing between the two and determining their relative influence over different timescales.

The Pitfalls of Confirmation Bias

The most valuable lesson this study offers is a reminder about the dangers of confirmation bias. Just as climate alarmists often seize on studies that confirm their doomsday predictions, skeptics can be guilty of the same behavior when presented with research that supports their views. But true skepticism is about maintaining a critical mindset regardless of whether the findings agree with our preconceptions.

If we are to remain intellectually honest, we must apply the same level of scrutiny to this study as we would to any research that claims catastrophic warming is imminent. This means recognizing the limitations of the climate models used, questioning the assumptions behind the simulations, and acknowledging the uncertainties in the results. It also means being open to the possibility that natural variability and anthropogenic factors can both influence global temperatures in ways that are difficult to disentangle.

Conclusion: Stay Skeptical, Even When It’s Tempting Not To

In conclusion, while the 2023 global warming spike study offers an intriguing explanation for the recent temperature increase, it should not be treated as definitive proof that natural forces alone are responsible for all climate change. Instead, it serves as a reminder of the complexity of the climate system and the limitations of our current models and understanding.

As skeptics, we should resist the temptation to embrace this study simply because it seems to support our views. Instead, we should remain cautious, critically evaluate the findings, and recognize that the same uncertainties and limitations that apply when criticizing alarmist models also apply here. Skepticism isn’t about being contrarian for the sake of it; it’s about applying a consistent, rigorous standard of inquiry to all claims, no matter which side of the debate they fall on.

This study reinforces one important truth: natural variability plays a significant role in the climate system, and we should be wary of any narrative that claims human influence is the sole driver of climate change. But in the end, the models used in this study are still just that—models. And as history has shown, they can often get it wrong. So let’s continue to demand better evidence and avoid jumping to conclusions, even when the data seems to be on our side.

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October 12, 2024 at 04:05PM

Did global warming make the heavy precipitation in Mid Europe in September 2024 more likely?

by Frank Bosse

Neither the trend analysis nor the model-observation comparison supports the conclusions of the attribution study that found:

“The combined change, attributable to human-induced climate change, is roughly a doubling in likelihood and a 7% increase in intensity.” 

Starting September 11, there was a heavy rainfall event in parts of Austria, Poland and the Czech Republic. First assessments point to a record high value of precipitation in a wide area, as the result of a “Vb weather condition”, named after the historical classification of the tracking directions of low-pressure fields in Europe. In a Vb weather condition, a low pressure area tracks to the Mediterranean Sea, thereafter north-eastward and ends usually in the Baltic region of Europe. A Vb condition is very often associated with much rain in Mid-and Eastern Europa and flood events e.g. 1997 (River Oder) and 2002 (River Elbe).       

However, an “Attribution study” appeared only a few days afterwards. It’s Core message about the event (cited in media) was:

“The combined change, attributable to human-induced climate change, is roughly a doubling in likelihood and a 7% increase in intensity.” 

To evaluate the robustness of the claim, the full text of the attribution study was downloaded.

The meteorological classification of the event in question involves several atmosphere dynamics features. The triggering event was an “Arctic Outbreak”, an extreme northward displacement of the intertropical convergence zone (ITCZ) was also involved. To make the things worse, there was a stable blocking high pressure field north of the area in question, so the precipitation area was relatively stationary and could not move north towards the Baltic Sea as usual.

The key question is whether the thermodynamic element (related to warming from “climate change”) contributing to the events described can actually be quantified with some robustness, as it was claimed in the attribution study.

The attribution study describes trend analyses of observational data (E-Obs.) and (weather) model-observational reanalysis data (ERA5) for the time 1950-2023 (2024).  The data used are available via the “KNMI Climate Explorer” permitting one to evaluate the numbers. The study uses the GMST GISS Dataset to describe the connection of heavy rain in Mid Europe to a warmer world. The attribution study states:

“All datasets show similar trends across the region, with increasing trends…”  (see section 3.1)

The same dataset is used here, but averaged over the European area in question rather than globally. The mean temperature anomaly 1950-2023 in the region 20°W-25°E; 35°N-65°N is shown below.  This region includes more land (which is faster warming than the ocean) than the roughly 30% global mean land fraction.

Fig.1: The temperature time series (GISS) in the European area. The figure was generated with the KNMI Climate Explorer.

The (not too surprising) observation: From 1950 to about 1981 the temperatures did not show any rise. Anthropogenic warming, manifested in the mean temperatures, started around 1981, not 1950.

To calculate the trends in the “RX4days” precipitation (which is the accumulation of 4 days of precipitation) the data for ERA5 were recalculated for 1950-2024:

Fig.2: The outstanding event in September 2024 is clearly visible. It makes the trendslope 1981-2024 ( green) positive (a “one year trend”), for 1981-2023 (black) it’s zero. The figure was generated with ChatGPT.

The ordinary least square (OLS)-Trend 1950-2024 (blue) is robustly positive (p=0.025) as the attribution study states. However, it did not mention that the trend become insignificant after the late 1960s when calculated to 2024. If the increasing trend from 1950 to 2024 were attributable to the “human induced climate change” after 1981, one would NOT expect that the trend slope to 2024 is completely insignificant (p=0,32) and for 1981-2023 (black) it’s zero. In the light of these findings the OLS-trends to 2024 might be more a result of internal variability. Over the period 1950-1981 with no warming (see Fig. 1), the most positive trend slope (orange) of RX4day was 2 times steeper than in 1981-2024, when the forced warming was observed.

The study evaluates the climate models used for the attribution analysis. Many models belong to the CMIP6 family. It iss well known that those models face substantial difficulties when it comes to atmosphere dynamics owing to their low resolution. The Multi Model Mean shows no skill in the study area (46°N- 52°N; 11°E- 24°E) with respect of the model-observation (E-Obs.) spatial correlation for precipitation.

Fig.3: The spatial correlation between  precipitation of the CMIP6 Multi Model Mean with the Observations (E-Obs.) for the warm seasons 1975-2023. The figure was generated with the KNMI Climate Explorer.

A meaningful correlation should be a prerequisite for blaming the anthropogenic warming as simulated in the CMIP6 models, for a distinct extreme precipitation event based on model comparisons with the real world.  

In Table 4.1 of the attribution study the models were evaluated, some of them (only a few) were labelled as “good” when it comes to precipitation. The “IPSL-CM6A-LR” model was labelled as “reasonable”. The spatial correlation 1950-2023 to E-OBS observations during months where Vb-events were observed is shown below, also for the “good” model “EC Earth 3”, both with below 20%, indistinguishable from random noise:

Fig. 4: There is no skill (white for the zero- correlation) in selected models of the study. The figure was generated with the KNMI Climate Explorer.

Neither “IPSL-CM6A-LR” (left) nor in “EC Earth3” (right), labelled as “good” in the study, have any skill when it comes to the spatial correlation of precipitation with the real world. Nor does the model MPI-ESM1-2LR (“reasonable” in Table 4.1 of the study), but not shown here.   

In the end it seems dubious to attribute an extreme precipitation event to climate change when using the CMIP6 models. The ocean warming is for sure a source for more evaporation and also for more rain, although the proportional rise in precipitation with warming is only a fraction of the rise in evaporation.

However, the influence of atmosphere dynamics is overwhelming and hampers the attribution of single extreme weather events based on thermodynamics arguments.

Conclusion

After a closer look, neither the trend analysis nor the model-observation comparison supports the conclusions of the attribution study.

The issue of unsound extreme weather event attribution studies is not limited to extreme precipitation. As this recent article by Roger Pielke Jr explains,  attribution studies for all types of extreme weather event are in general highly dubious, and appear to be undertaken more for “political” than for scientific purposes.

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October 12, 2024 at 03:10PM