this post was submitted on 28 Jan 2024
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Research paper referenced in the video that makes Dr. Hossenfelder very worried:

Global warming in the pipeline: https://academic.oup.com/oocc/article/3/1/kgad008/7335889

Abstract

Improved knowledge of glacial-to-interglacial global temperature change yields Charney (fast-feedback) equilibrium climate sensitivity 1.2 ± 0.3°C (2σ) per W/m2, which is 4.8°C ± 1.2°C for doubled CO2. Consistent analysis of temperature over the full Cenozoic era—including ‘slow’ feedbacks by ice sheets and trace gases—supports this sensitivity and implies that CO2 was 300–350 ppm in the Pliocene and about 450 ppm at transition to a nearly ice-free planet, exposing unrealistic lethargy of ice sheet models. Equilibrium global warming for today’s GHG amount is 10°C, which is reduced to 8°C by today’s human-made aerosols. Equilibrium warming is not ‘committed’ warming; rapid phaseout of GHG emissions would prevent most equilibrium warming from occurring. However, decline of aerosol emissions since 2010 should increase the 1970–2010 global warming rate of 0.18°C per decade to a post-2010 rate of at least 0.27°C per decade. Thus, under the present geopolitical approach to GHG emissions, global warming will exceed 1.5°C in the 2020s and 2°C before 2050. Impacts on people and nature will accelerate as global warming increases hydrologic (weather) extremes. The enormity of consequences demands a return to Holocene-level global temperature. Required actions include: (1) a global increasing price on GHG emissions accompanied by development of abundant, affordable, dispatchable clean energy, (2) East-West cooperation in a way that accommodates developing world needs, and (3) intervention with Earth’s radiation imbalance to phase down today’s massive human-made ‘geo-transformation’ of Earth’s climate. Current political crises present an opportunity for reset, especially if young people can grasp their situation.

My basic summary (I am NOT a climate scientist so someone tell me if I'm wrong and I HOPE this is wrong for my children), scientists had dismissed hotter climate models due to the fact that we didn't have historical data to prove them. Now folks are applying hotter models to predicting weather and the hotter models appear to be more accurate. So it looks like we're going to break 2C BEFORE 2050 and could hit highs of 8C-10C by the end of the century with our CURRENT levels of green house gases, not even including increasing those.

EDIT: Adding more sources:

Use of Short-Range Forecasts to Evaluate Fast Physics Processes Relevant for Climate Sensitivity: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2019MS001986

Short-term tests validate long-term estimates of climate change: https://www.nature.com/articles/d41586-020-01484-5

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[–] conditional_soup@lemm.ee 36 points 9 months ago (14 children)

Okay, so, as others have expressed in this thread, I don't completely trust Sabine as a science communicator. Can someone who knows what they're talking about about shed some light on this paper and/or Sabine's video?

[–] LemmyFreak@lemmynsfw.com 11 points 9 months ago* (last edited 9 months ago) (12 children)

I am an environmental geologist, and while I'm not going to debunk or refute the paper or author (someone more up on their game than me can), I will say that the lack of historic data was always a variable that could be reliably solved for eventually. Our fossil evidence and understanding of global tectonics was already allowing it to be unraveled back when I was in college 20 years ago.

So from a modeling standpoint, if you can repeatedly replicate what you know conditions were like in the non-ice/warm periods, you can reliably infer what the CO2 (or just overall greenhouse gas mixtures) had to have been (I won't get into why we know it was like that, paleontologists will talk your ear off about it any day)! From there you can develop models with very robust and accurate inputs to predict how long it will take to reach those levels at current pace. Every year the trend line gets more and more granular as well because we have so much data.

Idk if/how that impacts this particular study, but it should give OP some background and trust in the modeling that's based on data we don't/didn't have.

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