Zeke Hausfather Profile picture
Sep 24, 2020 11 tweets 3 min read Read on X
There is a lot of confusion about carbon budgets and how quickly emissions need to fall to zero to meet various warming targets. To cut through some of this morass, we can use some very simple emission pathways to explore what various targets would entail. 1/11 Image
Much confusion is due to ambiguity of these targets, role of negative emissions, non-CO2 forcings, historical warming, etc. For example, "well-below" 2C target in the Paris Agreement is often interpreted to mean a 66% chance of avoiding >2C warming. carbonbrief.org/analysis-why-t… 2/11
On the other hand, the 1.5C aspirational target is sometimes defined as a 50% chance of limiting warming to 1.5C, and sometimes (as in the new SSP1-1.9 scenario) as a 66% chance of avoidance. 3/11
Virtually all scenarios use negative emissions to expand the allowable budget; in the SSP 1.5C scenarios negative emissions effectively increases the size of the 420 GtCO2 budget by between 90% and 380%, allowing positive emissions of between 800 and 1600 GtCO2 by 2100 4/11 Image
But leaving aside negative emissions (and their moral hazards) for the moment, the carbon budgets in the IPCC SR15 report make it relatively simple to calculate when emissions would have to reach zero under different climate targets: 5/11 Image
If we assume that emissions simply linearly decrease until they reach zero, and look at four different interpretations of climate targets (66% chance of < 1.5C, 50% of < 1.5C, 66% of < 2C, 50% of < 2C), we get the figure below: 6/11 Image
To have a 66% chance of avoiding 1.5C warming, emissions would have to fall 66% by 2030 and reach zero by 2036. For a 50% chance of 1.5C its a 46% reduction by 2030 and zero by 2043. For 2C 66% (50%) its 21% (16%) reduction by 2030 and zero by 2071 (2085). 7/11
However, these climate model-based budgets do not account for some earth system feedbacks from melting permafrost and methane released from wetlands. The SR15 suggests that including these would reduce all the carbon budgets by around 100 GtCO2. Here is what that looks like: 8/11 Image
In this case to achieve a 66% (50%) chance of avoiding 1.5C, emissions would have to fall 92% (57%) by 2030 and reach zero by 2031 (2039). For a 66% (50%) chance of avoiding 2C warming we'd have to reduce emissions 24% (18%) by 2030 and reach zero in 2066 (2082). 9/11
One big takeaway from these simplified emission pathways is that limiting warming to 1.5C in the absence of planetary-scale negative emissions would be extremely difficult, requiring full decarbonization of the global economy in the next two decades. 10/11
At the same time, the pathways for limiting warming to <2C are much more forgiving, avoiding the need to bet the future on somewhat magical thinking around negative emissions deployment. 11/11

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More from @hausfath

Jul 13
With all the July model runs now in, it is very likely that 2026 will see the largest El Niño event since records began in the late 1800s – and potentially by a truly mind-blowing margin. The median estimate is now 3.6C, roughly 0.8C hotter than the prior record (2.75C). Image
The 2026/2027 El Niño event has already grown faster than any prior events (at least on an ONI basis). Here its observed and projected future evolution compared to the strongest prior El Niño events in recorded history.

Full analysis at The Climate Brink theclimatebrink.com/p/the-stronges…Image
Currently 13 out of 14 dynamical models expect a record setting event based on the Niño 3.4 region sea surface temperature anomalies (ONI), with overall odds of a record sitting at 91% across all 667 model ensemble members. Image
Read 8 tweets
Jun 26
Heat waves are driven by weather patterns but occur on the backdrop of a rapidly warming world. Without climate change the current European heat wave would have been ~3.2 °C (5.8 °F) cooler.

Heat impacts are non-linear, so this higher severity can lead to much greater suffering Image
Europe has been warming at a much faster rate than the world as a whole: roughly twice as fast as the global average, and 40% faster than the global land average. Image
This warming has been fastest in the winter months – driven in part by greater absorption of sunlight with less winter snow cover – but has been rapid year-round: Image
Read 5 tweets
May 28
Today the @WMO released projections of where temperatures may end up over the next five years (baed on 13 different models and 250 ensemble members).

Their estimates for 2026 and 2027 are quite close to my (updated) ones: Image
My 2026 uncertainties are narrower as I'm using the first four months of data for the year to constrain my estimate. I also have a more up-to-date El Nino forecast than the WMO models (which are initialized considerably earlier and don't reflect the likely development of a very strong event.
@WMO I've also updated my estimates using data through April and the latest El Nino forecasts, which slightly bumped up the 2026 and 2027 central values compared to my last estimate that only used data through March: theclimatebrink.com/p/higher-warmi…Image
Read 5 tweets
May 1
The arc of the scenario universe is long, but it bends inevitably toward more realistic emissions.

A new paper outlining the emissions scenarios we will be using in the upcoming IPCC AR7 report notes that "the CMIP6 high emission levels (quantified by SSP5-8.5) have become implausible".Image
It outlines a yet-to-be-released high emissions scenario notably lower than the one (SSP5-8.5) used in the prior IPCC 6th Assessment Report:

This is a change that a number of us in the community have long advocated, going back to Justin Ritchie's work in 2017.gmd.copernicus.org/articles/19/26…
Justin and I made this case back in 2019: thebreakthrough.org/issues/energy/…

And in 2020 Glen Peters and I published a piece in Nature arguing that high emissions scenarios were no longer "business as usual", and that more realistic emissions make for better climate policy: nature.com/articles/d4158…Image
Read 10 tweets
Mar 12
El Niño is coming, and it is shaping up to be a big one.

Over at The Climate Brink I've put together a compilation of the latest forecasts by different modeling groups. They suggest that we might see an event comparable in strength to what we saw in 2016. Image
This is based on a collection of 11 different models (and 455 individual ensemble members) all updated since the start of March. I've put an interactive version of the data up on the Climate Dashboard here: dashboard.theclimatebrink.com/#ensoImage
While there remains a big spread in models (and some models only run through August), more than half the runs show a strong (>1.5C Nino3.4) event developing by August and a very strong event (>2C) by the end of the year. Image
Read 7 tweets
Feb 24
As a rare climate scientist working in Silicon Valley, I've been drinking from the AI firehose a lot more than my peers. I thought it would be helpful to lay out my experiences of both the promise and pitfalls of using AI to accelerate scientific research.
As a bit of background, I've been working with these tools since late 2022, and seen firsthand how they have dramatically improved over time. I’ve also worked with frontier AI labs to evaluate how well LLMs answer climate questions, and to help enable AI tools to support scientific collaboration.

theclimatebrink.com/p/the-ai-augme…
So what do AI tools do well for scientific work? In short, coding.

Scientists are generally not software engineers. Much of their coding is self-taught, and many struggle with writing code quickly, producing well-documented reproducible code, and fixing errors.
Read 18 tweets

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