The skepticism toward specific climate-attribution studies, especially those claiming a direct causal link between climate change and individual weather events, finds a compelling case in the study attributing dangerous humid heat in southern West Africa to climate change. [emphasis, links added]
This nonpeer-reviewed study posits that because of human-induced climate change, extreme humid heat events, like the one observed in February 2024, have become significantly more intense and are expected to become even more frequent in the future.
A critical point of contention arises from the historical comparison with a similar record set in 1998, the blue line below, and the bold prediction that such events will occur approximately every two years.
The fact that a similar extreme weather record was set in 1998 raises questions about the robustness of attributing the 2024 event directly to climate change without a more detailed examination of natural climate variability.
In fact, the IPCC has stated,
The climate system is a coupled non-linear chaotic system, and therefore the long-term prediction of future climate states is not possible.
The climate system is known for its significant variability, with extreme weather events occurring throughout human history, well before the significant rise in anthropogenic greenhouse gas emissions.
This historical perspective underscores the importance of distinguishing between the influences of natural variability and human-induced climate change.
The prediction that events of similar intensity will occur every two years is absurd due to the inherent unpredictability of the climate system.
The Earth’s climate is influenced by a myriad of factors, including solar radiation, volcanic activity, and ocean currents, which can all lead to significant year-to-year and decade-to-decade fluctuations in weather patterns.
The deterministic prediction of extreme weather events’ frequency overlooks the chaotic nature of the climate system, which the IPCC itself has noted makes specific climate states undeterminable with absolute certainty.
Attribution studies typically rely on climate models to assess the likelihood of extreme weather events in the current climate versus a counterfactual climate without human-induced greenhouse gas emissions.
While these models are sophisticated and valuable tools for understanding climate dynamics, they are not without limitations.
The resolution of these models, their ability to accurately simulate extreme weather events, and the treatment of feedback mechanisms can significantly impact their findings.
Given these limitations, attributing a single event, such as the 2024 heatwave, directly to climate change and predicting its future frequency requires a healthy dose of skepticism.
Furthermore, the framing of attribution study findings has significant implications for public perception and policy.
Predictions about the frequency of extreme weather events can influence public understanding of climate change and the urgency of mitigation and adaptation efforts.
In fact, the attribution study above uses such data to make the following claim…
Major investment is needed in Africa to build resilience to dangerous heat. The UN has estimated that the cost of adaptation for developing countries is between US$215-$387 billion per year this decade.
While highlighting the risks of climate change is crucial, there is a delicate balance between conveying the seriousness of the issue and maintaining scientific rigor and accuracy.
Overstating the certainty of predictions can lead to skepticism and undermine trust in climate science while wasting enormous amounts of taxpayers’ money.
In summary, while the attribution of specific weather events to climate change is an evolving field with the potential to enhance our understanding of human impacts on the climate, skepticism of such studies remains a healthy and necessary part of scientific discourse.
This skepticism is particularly pertinent when historical records and predictions of future events challenge the findings of attribution studies and when such studies are used as justification for spending 100s of billions of dollars.
Irrational Fear is written by climatologist Matthew Wielicki and is reader-supported. If you value what you read here, please consider subscribing and supporting the work that goes into it.
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