The study essentially argued that based on the AR5 carbon budgets, viewed from 2014, there was seven years (2021) until the 1.5°C carbon budget was used, & therefore 1.5°C was essentially a "geophysical impossibility".
They had a new method with a more realistic budget.
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The @CarbonBrief post was titled: "Why the 1.5°C warming limit is not yet a geophysical impossibility"
The authors wrote: "[A]lthough 1.5°C is not yet a geophysical impossibility, it remains a very difficult policy challenge."
I distinctly remember trying to understand why that language was used. It seems like "1.5°C was impossible, now it is possible, & so now it makes sense to mitigate".
This was all around the time of Paris, SR15 preparation, etc
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Right wing media loved the language, & the article was a hit, the study "concedes that it is now almost impossible that the doomsday predictions made in the last IPCC assessment report ... will come true"
I wrote a blog post, "Did 1.5°C suddenly get easier?", which made me very unpopular as the right-wing media picked it up.
My main point? Drop uncertain carbon budgets & go for net-zero instead...
7/
I claimed that carbon budget have been published ranging from -200 to 1000 GtCO₂... I felt that was quite risky to write, but was confident it was correct.
It turns out I was way too conservative according to this study (see left panel).
In any case, the Millar et al budgets turned out to be much larger than used in the IPCC SR15 (below), but many aspects of their method are used in recent carbon budget estimates (making sure estimates align with historical warming).
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I am surprised I forgot that language & debate back in 2017. I felt I became very unpopular amongst colleagues for my blog.
I had many paper ideas for carbon budgets, but put them in the bin. I wrote a commentary in the /end.
I am still pondering over 2023 & El Nino. Is 2023 an (unusual) outlier or not?
Looking at anomaly in 2023 relative to the trendline (loess 50 year window), without (left) & with (right) annualised ENSO lags, then 2023 is rather mundane.
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When looking at the temperature change relative to the previous year, without (left) & with (right) annualised ENSO lags, then 2023 is more unusual depending on the lag.
If 2023 is unusual, then it could be equally explained by 2022 being low (rather than 2023 being high).
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There are numerous ways to consider ENSO. I have used annualised indexes, & various lags can be included. It is also possible to take sub-annual indexes (eg, several months), & again, various lags.
What is statistically best? I presume there is a paper on this.
I started to take an interest in the 2023 temperature increase...
The first plot I did, to my surprise, seems to suggest that 2023 is not unusual at all (given El Nino).
Why?
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It all depends on how you slice the data. The previous figure was the anomaly relative to a trend (loess with 50 year window).
If I plot the change from the previous year (delta T), then 2023 is more unusual. Though, still, is it 2023 that is unusual, or 2022, or 2016, or?
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The loess trend changes shape with the data, making the 2023 anomaly smaller. It is also possible to use a linear trend, making the 2023 anomaly larger.
Comparing the anomaly to a linear trend will make 2023 more important (than if loess is used).
I am not so convinced. The land sink has a lot of variability, mainly due to El Nino, and an El Nino overlapped 2023. So we expect a lower land sink in 2023.
(My estimate assumes the ocean sink was average).
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Was 2023 an El Nino year? That is not so obvious...
How does one average the monthly sea surface data to an annual value El Nino index? How does one account for the lag between El Nino and the change in atmospheric CO2 growth?
There is no unique answer to this.
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This figure shows the monthly El Nino index annualised with different time lags. 2023 is an El Nino or La Nina, depending on how you average!
@richardabetts & @chrisd_jones use a 9 month lag in their work (which means 2023 was a La Nina)!
Record high emissions means record high radiative forcing.
We have you covered, we also include aerosols (SO2, etc) & have done so for decades. Also shipping!
Short-lived aerosols are important, but should not distract from the drivers of change: greenhouse gas emissions!
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Most of the energy put into the system ends in the ocean (90%), so the Ocean Heat Content (OHC) has been increasing along with emissions and radiative forcing.
This also means the Earth Energy Imbalance is also increasing.