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Aug 9, 2021 36 tweets 11 min read Read on X
IPCC AR6 WG1 🧵
Some initial comments
Think of these as working notes
Comments welcomed
Let's go . . .
Let's start with scenarios

This is rather huge
"In general, no likelihood is attached to the scenarios assessed in this Report"

So that means that users of the scenarios have to independently assess likelihoods Image
That said: "the likelihood of high emission scenarios such as RCP8.5 or SSP5-8.5 is considered low"

They also said that an appropriate scenario for "absence of additional climate policies" (aka BAU) is "RCP4.5, RCP6.0 and SSP2-4.5 scenarios:

They said it, kudos to IPCC WG1🔥🔥 Image
I won't get down too far in the weeds but the IPCC WG1 has returned to the SRES storyline approach

That means that interpretation of the scenarios and the resulting projections will be trickier than saying that the IPCC is projecting X or Y future

It is a healthy development! Image
Underscoring this absolutely essential point
"the socio-economic assumptions and the feasibility or likelihood of individual scenarios is not part of the assessment"

Fortunately, you are in good hands here as we have been studying feasibility in great detail, more on that later Image
Very important:
"IPCC is neutral with regard to the assumptions underlying the SSPs"

So IPCC recognizes that 8.5 scenarios have "low likelihood" but nonetheless choose to remain "neutral" with respect to scenario assumptions

As we will see, this is not quite right in practice Image
So which scenarios does IPCC focus AR6?

If "neutral" we might assume a fairly equal focus of attention across scenarios (similar to how SRES was used) since WG1 AR6 judges none more likely than another

On the other hand the literature is heavily biased to extreme scenarios...
So this is a BIG problem

The scenarios IPCC admits are unlikely dominate the report w/ 41.5% of all scenario mentions

The scenarios judged most likely under current trends get only 18.4% of mentions

Implausible scenarios (8.5 + 7.0) total 53% of mentions, more than half! Image
From AR5 WG1 to AR6 WG1 the emphasis on 8.5 scenarios increased dramatically

Table below shows RCP8.5 mentions in AR5 WG1 were 31.4% of total scenario mentions, that has increased to 41.5% in AR6

Focus on more realistic scenarios (4.5 & 6.0) dropped from 44.5% to 18.4%

Wow Image
AR5 table in previous Tweet from this paper:
doi.org/10.1016/j.erss…
The IPCC AR6 WG1 is not in fact neutral w/ respect to scenario assumptions because it has a overwhelming emphasis on unlikely (it's word), implausible (our word) scenarios

Because IPCC also claims no likelihoods associated w/ scenarios the emphasis on 8.5 needs interpretation
We have already explained the over-reliance on implausible 8.5 scenarios in terms of momentum in science

Other factors at play also
See these two papers:

1-Readable overview (free to read): issues.org/climate-change…

2-Lots of details (DM for a copy): doi.org/10.1016/j.erss…
But with its over-reliance on 8.5 scenarios the IPCC WG1 has set itself up for appropriate criticism from friends and foes alike

The unexpected u-turn in use of scenarios from AR5 has also set the stage for confusion among experts, media and policy makers
This also is big & it's v good news
The IPCC has for the first time reduced its top end estimate of climate sensitivity

IPCC judges Higher magnitude climate change to be less likely than it has been since 1990
Best estimate remains same, lower end certainty increased as well Image
Please keep the comments & requests for our paper coming

OK, now to extremes . . .
Ch.8 on flooding:
"the assessment of observed trends in the magnitude of runoff, streamflow, and flooding remains challenging, due to the spatial heterogeneity of the signal and to multiple drivers"

Same as AR5
Are floods increasing? Evidence doesn't say that
Temperature extremes
Heat waves increasing at global scale (virtually certain) Image
Heavy precipitation
Frequency and intensity have increased at a global scale (of note, only "likely" >66% certainty) Image
I'm very happy to see that the IPCC has acknowledged that heavier precipitation does not equate to increased flooding: "heavier rainfall does not always lead to greater flooding"

We explained this in 1999 (Pielke and Downton 1999)😎 Image
Flooding
Confidence in global trends is low
Some places up, some down
Same as AR5

So don't claim floods are increasing
Don't say they are "climate driven" Image
Obviously in the absence of detected trends, there won't be much ability to attribute

Don't say floods are caused by, driven by, intensified by climate change. The evidence doesn't support that. Image
AR5 discussed "drought"
AR6 discusses 4 types: meteorological, hydrological, agricultural, ecological

Different conclusions for each

Like AR5, little confidence in changes to M or H droughts but medium confidence in changes to A & E Image
Detecting trends in tropical cyclones remains difficult, same as AR5

There might be trends, but we can't detect them (I always love this statement, if we can't detect it, it can't be that significant!) Image
This is awesome
A clear indication that I am Voldemort at IPCC ;-)
Also clear evidence of cherry picking tsk tsk

They reference normalized hurricane damage & cite a fringe analysis with 24 citations while ignoring the definitive work with 1196 citations ImageImageImage
The IPCC really stretches to say something about TCs, relying on a few studies that start analysis in 1980 when much more evidence is available Image
You know what the IPCC doesn't mention?
Global TC landfalls (they do mention landfalls in Madagascar and the US)
I wonder why not?
Our dataset was updated & published in recent WMO TC assessment Image
Curious about what the IPCC forgot to include?

For NA & WP, about 70% of all landfalls, "the overall number of landfalling hurricanes has decreased dramatically since the 1940s, while the number of major hurricane landfalls has shown no trend"
rogerpielkejr.substack.com/p/a-remarkable… Image
Last point on the cherry picking by IPCC

I & colleagues certainly must be the most widely cited authors on extremes & climate not to make it into the IPCC AR6 extreme chapter

It's fine
Says a lot more about IPCC than it does our peer-reviewed work

Back to the report . . .
Winter storms
Low confidence in past century trends in frequency and intensity Image
Thunderstorms, tornadoes, hail, lightning
No upwards trends detected
Same as AR5 Image
Extreme winds
A new variable in AR6
Interesting, IPCC finds less extreme winds between 60N (~Juneau) and 60S (~Antarctica), so pretty much everywhere there are people

There goes the derecho attribution Image
Fire weather
"There is medium confidence that weather conditions that promote wildfires (fire weather) have become more probable in southern Europe, northern Eurasia, the US, and Australia over the last century" Image
Summary:
Highly consistent with AR5 (of course, just a few more years of data)

Little evidence of increasing trends in floods, M&H drought, TCs, tornadoes, strong winds

But evidence for increases in high temps, extreme precip, heat waves, fire weather, A&E drought
That's all for now
I'll now catch up on the many comments
Respond to paper requests
Thanks for reading!
I found this IPCC figure on drought to be surprising

No expected increase in drought in most of North America, eastern Australia, Northern Europe, Asia - including India, Russia and China ... in other words where almost all of humanity lives

This has to be v good news, right? Image
Reporting on IPCC report hasn't been great

L-Wash Post
No
IPCC says current policies give 2.7 deg C for 2100

R-The Atlantic
No
IPCC says nothing remotely like this

This isn't about specific reporters but about reporting

There is a apocalypse auction going on
And we're buying ImageImage

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More from @RogerPielkeJr

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
Oct 31, 2024
🧵
You won't believe this

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? . . . Image
Image
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 Image
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 . . . Image
Read 7 tweets
Jul 18, 2024
1/3

Climate science is broken

I provided PNAS with irrefutable evidence that a paper it published used a fatally flawed “dataset” compiled by interns for corporate marketing

I asked for a retraction

PNAS investigated & found no problems at all with the dataset

The PNAS reply belowImage
Image
I documented how the “dataset” was created (including contributions of two of my former students)

It was never intended for scientific research, just for selling insurance products

In the next Tweet I’ll link to my post with all of the details

If climate science cannot pass this simple test, it has a serious problemImage
Read 4 tweets

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