A new study by the UK Met Office claims that accelerating global warming will make extreme rainfall events in the UK four times more frequent by 2080 compared to the 1980s.
This story has been widely covered in the news media.
The Met Office claims are derived from computer modeling based on the so-called RCP8.5 emissions scenario, the most extreme pathway for global greenhouse gas emissions, which the Met Office misleadingly describes as “plausible.” [emphasis, links added]
In reality, most credible scientists regard RCP8.5 as implausible given that global emissions data and technological advances essentially rule it out.
As a result, the Biden Administration has abandoned using this discredited worst-case scenario.
Moreover, the Met Office offers no empirical data or evidence that an increased trend in extreme rainfall events has actually been observed in line with their modeling.
In fact, some studies suggest the opposite may have occurred in recent decades.
Dr. Benny Peiser, the director of the Global Warming Policy Foundation, called on the Met Office to withdraw its fatally flawed study:
“The Met Office should withdraw this grossly misleading and baseless study, which is undermining its scientific credibility and integrity and makes it look incompetent.”
Additional information about RCP8.5
* Roger Pilke Jr.: The Biden Administration Abandons RCP8.5
* Tim Worstall: A Saviour Spurned: How fracking saved us from global warming (pdf)
Global Warming/Climate Change like Evolution is a unproven theory that has not one bit of proof to support it but its their taught in Schools as proven fact the evidence is faked
As the article pointed out, RCP 8.5 is not considered a likely scenario. Even many climate change advocates acknowledge this. However, it is so useful for creating propaganda supporting action on climate change that it continues to be used. One note about RCP 8.5 is that it wasn’t intended to be a serious projection. The intent was to create a scenario that was beyond what could happen to compare more likely scenario to.