A lengthy analysis by journalist and author Ian Wishart challenges the growing use of "Extreme Weather Event Attribution" (EEA) studies and raises questions about how rapidly produced climate research is being interpreted and presented to the public.
By elocal Report Desk
The article argues that a new category of climate reporting has emerged in recent years, where extreme weather events are rapidly linked to climate change through modelling studies released shortly after floods, cyclones and other disasters.
According to Wishart, these attribution studies increasingly shape headlines and public perception before undergoing extensive scientific scrutiny.
Cyclone Gabrielle Becomes A Central Example
Much of the analysis focuses on the rapid attribution report produced after Cyclone Gabrielle in New Zealand.
The report cited by Wishart suggested that greenhouse gas emissions had made events like Gabrielle more likely and potentially more intense. However, Wishart argues that caveats within the underlying study received less attention than the headline conclusions.
He highlights wording within the study that noted certain findings were "not statistically significant," suggesting the data contained substantial uncertainty.
Historical Data Debate
The article also raises questions over the use of historical weather records.
Wishart points to older New Zealand rainfall and storm events from the late 1800s and early 1900s, arguing that some historical events exceeded more recent storms in intensity.
According to the report, this creates a broader question:
- Are modern attribution studies using sufficiently long datasets?
- Can shorter observational periods distort conclusions?
- Are natural climate cycles being adequately considered?
The article argues that excluding longer historical records risks overstating recent trends.
Questions Around Attribution Science
Wishart also references academic discussions surrounding the limits of Extreme Event Attribution.
Areas identified as potentially more difficult to model include:
- Rainfall events
- Cyclones
- Storm systems
- Droughts
- Regional weather variability
The article cites scientific literature suggesting that temperature trends can often be modelled more confidently than highly complex weather systems.
Media Messaging And Scientific Uncertainty
A recurring theme throughout the article involves the relationship between scientific uncertainty and public communication.
Wishart argues that media organisations frequently seek simplified explanations for readers, potentially reducing emphasis on uncertainty ranges and methodological limitations.
The report suggests that this tension between nuanced science and headline-driven reporting may influence public understanding of climate issues.
Larger Questions Raised
The article ultimately asks whether assumptions linking warmer climates with more severe weather are being presented as settled science before broader questions have been resolved.
Critics cited in the article suggest the issue is not whether climate change exists, but whether confidence surrounding specific weather-event attribution has moved faster than the underlying science.
Read The Full Article
The original article by Ian Wishart explores the issue in far greater detail, including historical New Zealand weather records, scientific citations and discussion surrounding attribution modelling:
Read Extreme Weather Attribution: Pseudoscience in Primetime