A massive haul of new RCP8.5 studies today
And the beat goes on ...
What do such studies mean for the real world?
RCP8.5 as BAU and RCP4.5 as mitigation (both improper) continues to be common, example
Such studies based on fictional worlds are used as the basis for providing reliable guidance to decision makers
RCP8.5 in 2100 is even used as the basis for climate event attribution studies in 2018
Twice a week Google Scholar emails me dozens and dozens of new RCP8.5 studies
Unwinding this mess may never be done, but if it is, it won't be an easy task
/END
PS. I'm not linking papers or naming authors here, because these issues are systemic and structural, and not simply based on choices of individual researchers. The IPCC is responsible for this community-wide failure and probably needs to take charge in helping to fix it.
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A Frankenstein dataset results from splicing together two time series found online
Below is an example for US hurricane damage 1900-2017
Data for 1980-2017 was replaced with a different time series in the green box
Upwards trend results (red ---)
Claim: Due to climate change!
The errors here are so obvious and consequential that it is baffling that the community does not quickly correct course
The IPCC AR6 cited a paper misusing the Frankenstein hurricane loss dataset to suggest that NOAA's gold standard hurricane "best track" dataset may be flawed
JFC - Using flawed economic loss data to suggest that direct measurements of hurricanes are in error!
We’ve reached the point where an IPCC author is openly rejecting the conclusions of the IPCC out of concern over how their political opposition is correctly interpreting the AR6
The integrity of the IPCC on extreme events is now under attack
The IPCC explains that a trend in a particular variable is DETECTED if it is outside internal variability and judged with >90% likelihood
For most (not all) metrics of extreme weather detection has not been achieved
That’s not me saying that, but IPCC AR6
The IPCC also assesses that for most (but not all) metrics of extreme weather the signal of a change in climate will not emerge from internal variability with high confidence (ie, >90%) by 2050 or 2100, even assuming the most extreme changes under RCP8.5
The US National Academy of Sciences has a new study committee on Extreme Event Attribution
Among its sponsors are the Bezos Earth Fund and Robert Litterman
Who are they? . . .
The Bezos Earth Fund sponsors World Weather Attribution, an advocacy group promoting the connection of weather events w/ fossil fuels in support of press coverage & lawsuits
Robert Litterman is on the board of Climate Central which founded WWA & collaborates on climate advocacy
The fact that a NAS committee is funded by political advocates is crazy enough
But that is not all
On the committee itself are individuals from two climate advocacy groups
One . . . the Union of Concerned Scientists which is working to use attribution to support lawsuits . . .
A time series of base (i.e., current-year) loses was first compiled from annual reports published in the Monthly Weather Review by Chris Landsea in 1989 for 1949-1989
I extended the data using same methods to 1996
Chris and I extended back to 1900 for Pielke and Landsea 1998
Then, Pielke et al. 2008 extend the dataset to 2005, again using the same methods
The heavy lifting was done by my then-student Joel Gratz
Joel graduated and went to an insurance company called ICAT . . .