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The Net Radiative Forcing from Ozone-Depleting Substances and its Uncertainty

2025· article· en· W4414602166 on OpenAlexaboutno aff
Luke M. Western, Keith P. Shine, W. J. Collins

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsnot available
FundersNatural Environment Research CouncilNuclear Safety and Security CommissionMassachusetts Institute of TechnologyNational Aeronautics and Space Administration
KeywordsRadiative forcingRadiative transferForcing (mathematics)Net (polyhedron)Earth's energy budget

Abstract

fetched live from OpenAlex

The effective radiative forcing of long-lived ozone-depleting substances is large, around 15-20% of CO2. Their net effective radiative forcing, which considers the wider chemical feedbacks in the atmosphere, is less well understood. Here, we use a simple climate model, which has been adapted to consider the radiative feedbacks from ozone-depleting substances, to quantify this uncertainty. We find that the effective radiative forcing of ozone-depleting substances in 2019 of 0.35 (0.31, 0.39) Wm-2 reduces to a net radiative forcing of 0.11 (-0.02, 0.26) mWm-2, considering feedbacks. We use this simple model to quantify the net effective radiative forcing of each individual ozone-depleting substance and feedback. Most of the net radiative forcing from ozone-depleting substances is from CFC-12 and HCFCs, while others have mitigated the warming impact. This results in an increase in the net radiative forcing from ozone-depleting substances in 2019 compared to when the Montreal Protocol was implemented in 1987.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.282
Teacher spread0.267 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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