"[a]n economic recovery tilted towards green stimulus and reductions in fossil fuel investments, it is possible to avoid future warming of 0.3 °C by 2050."
The use of the word "tilted" implies are rather minor shift, but the "strong green stimulus" is actually a ~1.5°C pathway ("moderate" is a ~2°C pathway).
I thought 1.5°C required a transformation? Did #SR15 get it wrong?
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#SR15: "Pathways limiting global warming to 1.5°C with no or limited overshoot would require rapid and far-reaching transitions in energy, land, urban and infrastructure (including transport and buildings), and industrial systems (high confidence)"
Another issue I have with the framing is that I would think of "recovery" as being a short-burst (maximum a few years) of investment to achieve whatever objective ("recovery").
But, these "green stimulus" pathways are continuous investments to 2050. This is permanent change!
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Of course, we want permanent change, but I don't think this meshes so well with the term "recovery".
If I recover from being sick, does that mean I spend the rest of my life in intensive care?
I need to change my diet/lifestyle, permanently, not recover & return to normal?
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Current pledges put us on a path for 1.8°C or so in 2050, & if we follow a 1.5°C pathway, we shave off 0.3°C. This is still 0.3°C higher than where we are today (~1.2°C).
I think this is an important point to focus on, but the challenge is communicating these changes.
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The climate is a slow moving system, so deep mitigation (purple in top figure) leads to small & delayed changes in the temperature response (bottom figure).
This is my attempt to communicate the challenge, based on the SSP database (of course, too complex for lay audiences).
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Noting that the authors based the reference pathway on where we are heading (as opposed to the worst case RCP85-type pathway). This is the correct approach!
Using a RCP85-type pathway as a reference would make the benefits of mitigation ≫0.3°C...
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.