The Honest Broker Profile picture
Oct 22, 2021 12 tweets 6 min read Read on X
🧵
@ISSUESinST several climate scientists & Marcia McNutt (@theNASEM pres) respond to @jritch & my recent article on misuse of climate scenarios, offering a unified defense of RCP8.5

I encourage you to read their responses in full:
issues.org/climate-scenar…

My comments follow...
Chris Field & Marcia McNutt offer three points

First they defend RCP8.5 as "business as usual" stating that characterization "remains 100% accurate"

What to say? That's just wrong.
RCP8.5 depends on the building of >33,000 new coal plants by 2100, on top of current ~6,000
🤷‍♂️
Second, they appear to contradict themselves by stating that RCP8.5 was in fact "until recently" properly viewed as a plausible or even likely future

Again, this is objectively false

The world has never been on track for ~40,000 coal plants by 2100
Third, they also argue that the reality of RCP8.5 convinced the world to move away from it

RCP8.5 was never evaluated for its plausibility when created or used in many thousands of research papers, as we document

They claim its recognized failures now demonstrate its accuracy
Climate scientist @DrKateMarvel offers a different critique & in the process disagrees with Field/McNutt

She says RCP8.5 is not properly referred to as "business as usual"

Right, I had thought we were past this bit of semantics
Marvel states accurately that "even an unrealistic scenario can yield interesting science if used appropriately" (L)

Indeed, this is a puzzling critique because we make exactly the same point (R)

An issue she ignores is that much use RCP8.5 is inappropriate
Marvel ends on a political note warning that criticism of climate science aids the bad guys

Not sure the point of this - should we not be researching how scenarios are used and, yes, misused?
In a 3rd response NASA scientist @ClimateOfGavin & NASA strategic science advisor Peter Jacobs agree with much

They repeat a number of points we make about why climate scientists use extreme scenarios (e.g., to distinguish signal from noise in model runs)

They also agree on BAU
They blame the economic and energy modelers for being slow and unfunded, and that explains why the climate modelers have had to rely on implausible, dated scenarios

We suggest some other reasons, but at least we agree that scenarios are out-of-date
They also agree with us on a need to improve scenarios

Obviously if the "scientific community is already responding" then there must be an issue for them to be responding to, right?

They also highlight the new fad toward "scenario-free" climate research (a bad idea IMO)
After all those points of agreement (I actually missed any disagreement) they call our work "pointless and misleading"

😎
In sum:

1. RCP8.5 as BAU is entirely appropriate
2. RCP as BAU is incorrect but there are some scientific reasons for its use
3. RCP8.5 is dated, but the community is fixing it

Take your pick

We appreciate the comments!

Read our piece here:
issues.org/climate-change…

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More from @RogerPielkeJr

Aug 7
🧵The US National Climate Assessment has been a politiczed mess from the start due to its institutional design, which places it in the White House

The NCA proved too tempting for both Ds and Rs to put a thumb on the scale

Links at end of thread . . .
The idea it was perfect under Democrats, as @afreedma & other advocacy journos suggest, is simply wrong

The most recent NCA was totally capture by interest groups and companies that would benefit from the report - UCS, TNC, EDF, CAP, Stripe etc

Below just a few of its authors Image
@afreedma The head of the NCA5 stated publicly that she would never cite our work in the assessment, even though our work is by far the most cited research on economic losses in the US associated with floods, hurricanes, tornadoes

Here is how the NCA handled a reviewer comment Image
Read 7 tweets
Jul 31
🧵Let's take a quick look at the implications of the regulations that have followed from the 2009 EPA endangerment finding

According to @C2ES_org the 2021 GHG standards for light vehicles would reduce projected CO2 emissions by a cumulative 3.1 billion tons to 2050
c2es.org/content/regula…Image
Over the next 25 years the world would emit 925 gigatons of CO2 assuming constant 2025 emissions and ~690Gt assuming emissions are cut in half by 2050

That means that the projected impact of the regulations would reduce global emissions by 0.0003% (constant) & 0.0004% (halved)
The idea that CO2 can be regulated out of the economy is flawed

If the purpose of CO2 regulation is to create a shadow carbon tax, then it is a horribly inefficent way to do that

Once again, all this leads us back to Congress and the need for smart energy & climate policy
Read 4 tweets
Jan 11
🧵
The percentage of a percentage trick is increasingly common & leads to massive confusion

Here a undetectable difference of 0.01 events per year per decade is presented as the difference between a 31% and 66.4% increase (in the *likelihood* of the event, not the event itself) Image
The resulting confusion is perfectly predictable

Here is a reporter (NPR) explaining completely incorrectly:
"The phenomenon has grown up to 66% since the mid-20th century"

False Image
Also, the numbers in the text and figure do not appear to match up
I asked Swain about this over at BlooSkeye Image
Read 4 tweets
Dec 22, 2024
The new hurricane damage time series trick

Step 1: create Frankenstein dataset w/ an increasing trend where there was not an increasing trend before

Step 2: Attribute the increasing trend to climate change

Step 3: Use Frankenstein dataset to impeach other research w/ no trend Image
The reason that the blue and red numbers are different is that they are different measures of hurricane losses

E.g., the red numbers include inland NFIP damage
The blue numbers do not, on purpose, because NFIP only started in 1968

They are apples and oranges
Now 3 peer-reviewed papers (PNAS, JAMC, BAMS) make this most basic of errors by replacing and splicing NOAA BDD to the MWR/NHC time series

Predictably all three papers find an increasing trend in normalized hurricane damage even though landfalling hurricanes are not increasing Image
Read 6 tweets
Dec 21, 2024
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! Image
The errors here are so obvious and consequential that it is baffling that the community does not quickly correct course

Read about it here
Is my analysis flawed?
osf.io/preprints/osf/…
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! Image
Read 6 tweets
Nov 2, 2024
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 Image
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 Image
Read 6 tweets

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