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Record W1482297813 · doi:10.1029/2010gl043773

Does the ocean impact the atmospheric response to stratospheric ozone depletion?

2010· article· en· W1482297813 on OpenAlexaff
Michael Sigmond, John C. Fyfe, John Scinocca

Bibliographic record

VenueGeophysical Research Letters · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Toronto
Fundersnot available
KeywordsStratosphereOzone depletionEnvironmental scienceAtmosphere (unit)Atmospheric sciencesTroposphereOzone layerClimatologyOzoneAtmospheric modelClimate modelAtmospheric modelsAtmospheric chemistryClimate changeMeteorologyGeologyOceanographyGeography

Abstract

fetched live from OpenAlex

The impact of atmosphere‐ocean interactions on the atmospheric response to stratospheric ozone depletion is investigated using a global climate model with a fully resolved stratosphere, troposphere, and with and without an interactive ocean component. We find that while atmosphere‐ocean interactions have an impact on internally generated atmospheric fluctuations near the surface they have no discernable influence on the externally forced atmospheric response to stratospheric ozone depletion. This implies that an interactive ocean component in global climate models may not be crucial for obtaining reliable projections of future atmospheric change following the anticipated recovery of stratospheric ozone.

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)0.002
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.291
Teacher spread0.276 · 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 designObservational
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

Citations25
Published2010
Admission routes1
Has abstractyes

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