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.

From Watts Up With That?

By Charles Rotter

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

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.

What Happened To The Express’ Monster Hurricane?

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

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.

EIKE Dismisses Spectacular Climate Claims About Hurricane Milton Made By Stefan Rahmstorf

The researchers at the Potsdam Institute for Climate Impact Research PIK are among the world leaders of the Church of Global Warming and are responsible for various stylistic fantasies such as the “tipping points”.

From NoTricksZone

By P Gosselin 

Alarmism like in the Middle Ages…

The researchers at the Potsdam Institute for Climate Impact Research PIK are among the world leaders of the Church of Global Warming and are responsible for various stylistic fantasies such as the “tipping points”.

By the European Institute for Climate and Energy

Stefan Rahmstorf in particular, known since the 2000s for his rabidness (more here), hardly misses an opportunity to spread catastrophic news that is, however, quite easy to refute.

His earlier statement: “We are losing control of the climate system” from 2019 is legendary. When has humanity ever had control over the Earth’s climate?

According to the familiar pattern…

“Too warm – climate catastrophe
Too cold – climate catastrophe
Too dry – climate catastrophe
Too wet – climate disaster
All good – still a climate catastrophe”

…the mass media and their purveyors of doom are currently constructing the apocalyptic climate riders from the Atlantic hurricanes off North America, announcing the imminent end.

In order to activate the viewer’s conformist instinct, the “news” programs like to present luminaries of climate science – currently Stefan Rahmstorf on ZDF German public television, who presents the Milton storm as exceptional and unprecedented. The reason for the weather conditions: industrial carbon dioxide, of course, which is inexorably heating the earth.

But is Rahmstorf’s prediction true?

EIKE Vice President Michael Limburg thinks as follows:

What Rahmstorf is saying is unbelievable. CO2 would remain in the air for 1,000s of years. The correct answer would be a few to a few tens of years. For example, Tom Segalstadt, a geologist from the University of Oslo, has shown in his paper “Carbon cycle modelling and the residence time of natural and anthropogenic atmospheric CO2: on the construction of the ‘Greenhouse Effect Global Warming’ dogma” that the residence time is about 5 years. Ganteför also shows in this video that because of the C14, which rose sharply due to above-ground A-bomb tests after WW2, after a test ban from 1963, the C14 value (allusion to CO14 O2) through the sinks almost fell back to the natural value after approx. 50 years. And the easily accessible data on CO2 concentration on a global scale not only shows the average value, but also the increase and decrease due to plant growth at an annual rate. This difference is about 6-7 ppm, and the duration is 1 year. If the residence time were a thousand or more years, a drop would not even have to show up. Prof. Klaus D. Döhler has also drawn attention to this. See fogure.

Mauna Loa; CO2 in the atmosphere with plant growth

EIKE contributor Josef Kowatsch seconds:

Beginning at the 6: 0 min mark on ‘heute journal’, it starts with the PIK professor’s panicky eyes, hard to believe what Mr. Rahmstorf claimed, CO2 is staying in the air ‘for decades’. Yes, Rahmstorf actually claimed this lie. All he had to do was look at the zig-zag curve of atmospheric CO2 values, the international comparative standard measured at Mauna Loa. Then he would have noticed (or maybe not?) that during each vegetation period from spring to autumn, around 6 ppm of CO2 is removed from the air and metabolized by plants into biomass. If no new CO2 were added, then – from a purely mathematical point of view – all the CO2 in the air on our planet would be metabolized into biomass in just 70 years.

What did he demand? Answer: Immediate zero emissions of CO2 so that the current situation does not get worse. This is alarmist science like in the Middle Ages with the sale of sins that people invented themselves and from which they could buy themselves out. Otherwise there was the threat of a hellish purgatory after death.
How much longer will we put up with this?”

EIKE reader Gerald Pesch writes

Hurricane “Milton” was the prime example of a climate doomsday story gone completely wrong. Heralded by the media as the ultimate storm, the punishment of Gaia for sinful humans, the fastest moving hurricane from Cat 1 to Cat 5 in living memory.

The meteorologists on state television showed graphics with the water temperatures in the Gulf (temperatures that were of course caused by humans…) as an explanation for the imminent apocalyptic event and then, Thursday morning, nothing… I couldn’t believe my eyes, “Welt online” reported shortly before 9:00 a.m. that the all-destroying monster storm had been downgraded to Cat. 1!

The System Media frantically searched for images of the devastation in order to at least be able to provide a retraction battle, then there was silence, other panic topics were sought, Milton was forgotten faster than its fastest gust of wind…
The next storm is sure to come and then they’ll all be back, the “climate experts” from politics and the system media, proclaiming Gaia’s punishment to the sinful people.
What a crazy climate circus is taking place.”

Full EIKE article here (German).

America’s Power Supply Could Be Inadequate To Meet Demand by Decade’s End, Major Consultancy Says

American energy demand could be on pace to exceed power supply by the end of the decade, according to Bain, a major consultancy.

From Watts Up With That?

The Daily Caller

Nick Pope
Contributor

American energy demand could be on pace to exceed power supply by the end of the decade, according to Bain, a major consultancy.

Utilities could need to increase their annual power generation by as much as 26% by 2028 to meet surging demand, which the rise of artificial intelligence (AI) is driving with power-hungry data centers that are necessary to sustain AI technologies, according to a new report from Bain. Overall U.S. electricity demand stayed mostly flat since 2000, and utility companies will need to make major adjustments to their business models that figure to raise electricity costs for American consumers. (RELATED: ‘Catastrophic’: Top Grid Official Sounds The Alarm On Biden’s Sweeping Power Plant Rules)

‘Inevitable And Foreseeable’: Grid Operators Beg Court To Nix EPA Rules To Save Electricity System From Collapse https://t.co/0LAt8gHVSN

— Daily Caller (@DailyCaller) September 18, 2024

“In the U.S. alone, adequately funding the capital investments to serve data center growth over the next decade would require utilities to generate 10% to 19% in additional revenue each year than previously forecast,” Bain wrote in its report. “That could incrementally increase customer bills by 1% annually through 2032, according to our analysis.”

AI data centers account for about 44% of the anticipated growth, while residential demand — which includes electric vehicles (EVs) — drive 27% of the increase, according to Bain’s projections. The rest of the growth will come from manufacturing and commercial electricity use.

Bain joins a growing list of power grid operators and experts to warn that America’s electrical system is coming under strain as demand surges and regulations force the premature retirement of reliable fossil fuel-fired capacity.

Specifically, the Biden-Harris administration finalized regulations in April that will require existing coal plants to use carbon capture and storage (CCS) to control 90% of their carbon emissions by 2032 if they want to stay running past 2039, and certain new natural gas plants will also have to cut their emissions by 90% by 2032, according to the Environmental Protection Agency. The federal government maintains that the rules will not degrade grid reliability, though power grid experts told the Daily Caller News Foundation that they are expecting the opposite if the rules are enforced.

All content created by the Daily Caller News Foundation, an independent and nonpartisan newswire service, is available without charge to any legitimate news publisher that can provide a large audience. All republished articles must include our logo, our reporter’s byline and their DCNF affiliation. For any questions about our guidelines or partnering with us, please contact licensing@dailycallernewsfoundation.org.

Average Temperatures and Heat Movement (Part 1)

They say the victor writes the history of a period, and that may be so.  But when enough time has passed it must be the case that the present will be seen as truly bizarre when it comes to the demise of the natural sciences and our understanding of the physical world around us.  This must especially be the case when it comes to how energy moves in it, especially heat.

From Jennifer Marohasy

By jennifer

They say the victor writes the history of a period, and that may be so.  But when enough time has passed it must be the case that the present will be seen as truly bizarre when it comes to the demise of the natural sciences and our understanding of the physical world around us.  This must especially be the case when it comes to how energy moves in it, especially heat.

Thermal energy, or heat, is the energy that comes from the movement of atoms and molecules in a substance.  Heat increases when these particles move faster.

Rather than acknowledging that most of the heating on planet Earth comes from the Sun, and how this energy is distributed changes with the seasons because of the tilt of the Earth relative to the Sun.  Instead of acknowledging this – and considering how most of the heating occurs at the equator with the heat transferred to the poles – we have even the right of politics promoting the nonsense idea that global warming from carbon dioxide is real and it’s manmade.    I’m quoting Bjorn Lomborg, that is what he keeps repeating, and Jordon Peterson has made him the chief scientists, for the Alliance for Responsible Citizenship that is attempting to rewrite the story for the right of politics in The West. 

This is the meme that has swept across the West with the ruling class pretending their scientists, who are often just political scientists, can not only know the average temperature of the Earth, but also control the temperature of the Earth.   

To be able to do this, they will, of course, need to be able to dial back this heating as it moves from the equator to the poles, or should they be dialling it up?

Which should it be?  

To dial down the average temperature of the Earth, should we be seeking to increase the yearly average heat transport poleward, or slow it down? 

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

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.

From Climate Etc.

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.