1. Do Integrated Assessment Models (IAMs) show similar pathways to below 1.5°C?
Robust: All have less fossils, more non-fossils.
Details (a thread): The range of primary energy in 2100 is from 300EJ to 1200EJ (300-700 in 2050). Different IAMs (colours) show different outcomes.
2. I am going to show different scenarios from the IPCC 1.5°C Scenario Database (#SR15). There are 53 scenarios with no or low overshoot of 1.5°C, but only 9 model "families" (grouping versions of the same model).
Important: the distribution of models in SR15 is not uniform.
3. Some IAMs prefer certain technologies over others (in the respective IAM frameworks & assumptions). REMIND has consistently has more solar than other IAMs, POLES is at the other end of the scale.
4. WITCH & MESSAGE find higher shares wind, IMAGE low. REMIND & POLES are in the middle.
[Note many scenarios are sensitivity studies, egs, run with constraints on particular technologies]
5. POLES and MESSAGE are much higher on nuclear (& GCAM if available), while REMIND is quite low.
You may see a pattern now. REMIND, for example, can be low on nuclear as it is high on wind & solar. If an IAM is low on something, it usually means it is high on something else.
6. Many IAMs use high levels of bioenergy, and many studies apply a constraint of 300EJ/yr. REMIND, for example, is limited by that constraint. REMIND ran a variety of sensitivity studies on bioenergy, which explains is wide variation. No constraints, higher bioenergy.
7. As people have heard endless now, IAMs seem to like BECCS! Some models/scenarios don't use BECCS. C-ROAD has no BECCS (not shown), others ran sensitivity studies that effectively limited BECCS (eg, lower bioenergy).
Either way, there is a lot of BECCS in these scenarios...
8. All IAMs have big drops in coal, but some have a coal resurgence post-2050. Some IAMs go to zero coal, som maintain levels at about 25% of today's level.
Coal is out, but not necessarily completely (eg, with CCS).
9. Coal without CCS basically goes in all models, so when you see coal in 1.5°C scenarios, it all has CCS...
So, how much CCS is feasible, & would it happen on coal?
10. Oil drops away in most IAMs, but it is slow and not complete. Many scenarios have oil drop at about the same as the decline rate of existing fields. But it lingers until 2100 in many IAMs.
No BECCS scenarios have less oil.
11. Gas varies widely across IAMs and scenarios, you could probably say gas will be less than today in a 1.5°C world, but how much is model and scenario dependent...
12. Here is a different style of figure, only using the SSPs, that shows the energy mix in 2°C scenarios across six IAMs. It is clear, each IAM has a different energy mix, over and above the SSP (IAM often more important than SSP).
13. There is lots we don't know.
For example, why do IAMs use so much oil & gas in particular? How does this relate to the high use of Carbon Dioxide Removal? Are IAMs too rigid in hard-to-mitigate sectors (eg aviation, steel)? What about demand? Etc.
14. There are potentially many pathways to 1.5°C that have quite different energy mixes then we see in current scenario databases.
Can these pathways come out of the existing IAMs or are they structurally bound in ways that limit diversity?
15. IAMs play a quite pivotal role in framing the climate debate. They use a lot of BECCS, which means we endless discuss BECCS & other CDR, have journals, special issues, conferences. What an influence!
Imagine if no one ever joined BE with CCS...
16. After those thoughts, back to work...
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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.