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Record W4405658212 · doi:10.1038/s43247-024-01946-y

Emissions of HFC-23 do not reflect commitments made under the Kigali Amendment

2024· article· en· W4405658212 on OpenAlexaboutno aff
B.O. Adam, Luke M. Western, Jens Mühle, Haklim Choi, Paul B. Krummel, Simon O’Doherty, Dickon Young, Kieran Stanley, Paul J. Fraser, Christina M. Harth, Peter K. Salameh, Ray F. Weiss, Ronald G. Prinn, Jooil Kim, Hyeri Park, Sunyoung Park, Matthew Rigby

Bibliographic record

VenueCommunications Earth & Environment · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
FundersNatural Environment Research CouncilMinistry of Science and ICT, South KoreaNuclear Safety and Security CommissionNational Research FoundationNational Oceanic and Atmospheric AdministrationSight Research UKUniversity of BristolEuropean CommissionResearch Councils UKHorizon 2020 Framework ProgrammeCommonwealth Scientific and Industrial Research OrganisationDepartment for Business, Energy and Industrial Strategy, UK GovernmentNational Research Foundation of KoreaU.S. Department of CommerceNational Aeronautics and Space Administration
KeywordsAmendmentGreenhouse gasMontreal ProtocolEnvironmental scienceAtmosphere (unit)Environmental chemistryAtmospheric sciencesEnvironmental protectionEnvironmental engineeringChemistryMeteorologyPolitical scienceLawOzone layerPhysicsStratosphere

Abstract

fetched live from OpenAlex

Abstract HFC-23 (trifluoromethane) is a potent greenhouse gas released to the atmosphere primarily as a by-product of HCFC-22 (chlorodifluoromethane) synthesis. Since 2020, the Kigali Amendment to the Montreal Protocol has required Parties to destroy their HFC-23 emissions to the extent possible. Here, we present updated HFC-23 emissions estimated from atmospheric observations. Globally, emissions fell to 14.0 ± 0.9 Gg yr -1 in 2023 from their maximum in 2019 of 17.3 ± 0.8 Gg yr -1 , but remained five times higher than reported in 2021. Atmospheric observation-based emissions for eastern China, the world’s largest HCFC-22 producer, were also found to be substantially higher than 2020-2022 reported emissions. We estimate that potential HFC-23 sources not directly linked to HCFC-22 production explain only a minor, albeit highly uncertain, fraction of this discrepancy. Our findings suggest that HFC-23 emissions have not been destroyed to the extent reported by the Parties since the implementation of the Kigali Amendment.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.710
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.047
GPT teacher head0.276
Teacher spread0.229 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations7
Published2024
Admission routes1
Has abstractyes

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