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Record W2045480636 · doi:10.1029/2000jd900081

On the changing abundance of ozone minima at northern midlatitudes

2000· article· en· W2045480636 on OpenAlexaboutno aff
Steve Reid, A. F. Tuck, George N. Kiladis

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
Fundersnot available
KeywordsStratosphereMiddle latitudesOzoneEnvironmental scienceTroposphereAtmospheric sciencesSubtropicsClimatologyOzone depletionRadiosondePotential vorticityMixing ratioLatitudeMeteorologyGeologyGeographyVorticity

Abstract

fetched live from OpenAlex

An analysis of ozonesonde data for stations whose records go back at least a quarter of a century suggests that the number of intrusions of subtropical air into the midlatitude lower stratosphere has recently increased. These air masses, referred to here as ozone minima, contain low ozone concentrations over vertical depths of ∼4 km, sufficient to reduce the total ozone column by 10–15%. The mixing ratios of other trace species, such as nitrous oxide (N 2 O), carbon monoxide (CO), and water vapor (H 2 O) recorded in midlatitudes by the NASA ER‐2 aircraft, suggest that these intrusions originate either in the lower tropical stratosphere or in the upper tropical troposphere. Potential vorticity calculated from the European Centre for Medium‐Range Weather Forecasts (ECMWF) and National Center for Environmental Prediction (NCEP) date, have been used in conjunction with TOMS total ozone data to estimate the typical area covered by minima. Their contribution to the midlatitude ozone trend is discussed. TOVS data have also facilitated the identification of a prominent ozone minima source region in the subtropical western Atlantic, where the Atlantic storm track is particularly intense. Minima frequently advect over Europe, explaining the high abundance of these events observed by European ozonesonde stations, relative to ozonesonde data from Canada.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.001

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 head0.029
GPT teacher head0.285
Teacher spread0.256 · 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

Citations61
Published2000
Admission routes1
Has abstractyes

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