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Record W4220791832 · doi:10.5194/egusphere-egu22-9838

Carbon Dioxide Removal and warming reversal in the light of uncertain Earth System processes

2022· preprint· en· W4220791832 on OpenAlexaff
Carl‐Friedrich Schleussner, Joeri Rogelj, Thomas L. Frölicher, Andrew H. MacDougall, Benjamin M. Sanderson, Quentin Lejeune

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsContext (archaeology)Environmental scienceClimate changeGlobal warmingAtmospheric sciencesEarth system scienceChemistryPhysicsEcologyGeographyBiology

Abstract

fetched live from OpenAlex

Current and projected emissions trends suggest a likely reliance on carbon dioxide removal (CDR) to achieve the long-term temperature goal of the Paris Agreement. Studies using Integrated Assessment Models have considered scenarios limiting global warming to 1.5°C in 2100 that include cumulative net removal of up to ~1000 GtCO2 over the 21st century, although also scenarios deploying substantially less CDR have been considered. Large CDR deployment beyond achieving net zero emissions is often assumed to achieve a Global Mean Temperature (GMT) decline after peak warming of several tenths of a degree by the end of the century. The feasibility of achieving CDR on such a large scale has been strongly contested for environmental, technological, geophysical, economic, institutional or socio-cultural reasons. Beyond these considerations, it is important to assess the possible realisation of a GMT decline in the context of uncertainties in the Earth System response. Here we attempt to review and compare these various sources of uncertainty. Some relevant Earth System feedbacks are not represented in climate models or only in a limited manner, such as carbon release from permafrost melting, wetlands and wildfires, which could release ~100 GtCO2 over the 21st century even in stringent mitigation scenarios, but there is low confidence around this number. Another source of uncertainty is the Zero Emissions Commitment, which quantifies how much global warming would occur after global CO2 emissions reach net zero. Its best estimate over 50 years is close to zero, but uncertainties were quantified to be as high as +/-0.3°C for cumulative emissions of 1000 PgC and uncertainties remain on the potential for warming on multi century timescales. Given this, additional post net-zero warming countering CDR induced cooling cannot be ruled out. Furthermore, it is not clear whether the TCRE assessed for increasing CO2 emissions would remain the same once we reach net-negative emissions. In light of these various sources of uncertainty we argue that a broader perspective on CDR and future GMT evolution beyond net zero is advisable. Acknowledging the uncertain efficacy of CDR-induced GMT decrease is important for comprehensive risk assessments and reflections on scenario design.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.212
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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