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Record W2131159450 · doi:10.1029/2006gl027600

Temporal decrease in upper atmospheric chlorine

2006· article· en· W2131159450 on OpenAlexaff
L. Froidevaux, N. J. Livesey, W. G. Read, R. J. Salawitch, J. W. Waters, Brian J. Drouin, Ian A. MacKenzie, H. C. Pumphrey, P. F. Bernath, C. D. Boone, Ray Nassar, S. A. Montzka, James W. Elkins, D. M. Cunnold, Darryn W. Waugh

Bibliographic record

VenueGeophysical Research Letters · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Waterloo
FundersNatural Environment Research CouncilSight Research UK
KeywordsMicrowave Limb SounderChlorineEnvironmental scienceHydrogen chlorideAtmospheric sciencesOzoneContext (archaeology)StratosphereOzone layerSatelliteAtmosphere (unit)Atmospheric chemistryClimatologyMeteorologyChemistryGeologyPhysics

Abstract

fetched live from OpenAlex

We report a steady decrease in the upper stratospheric and lower mesospheric abundances of hydrogen chloride (HCl) from August 2004 through January 2006, as measured by the Microwave Limb Sounder (MLS) aboard the Aura satellite. For 60°S to 60°N zonal means, the average yearly change in the 0.7 to 0.1 hPa (∼50 to 65 km) region is −27 ± 3 pptv/year, or −0.78 ± 0.08 percent/year. This is consistent with surface abundance decrease rates (about 6 to 7 years earlier) in chlorine source gases. The MLS data confirm that international agreements to reduce global emissions of ozone‐depleting industrial gases are leading to global decreases in the total gaseous chlorine burden. Tracking stratospheric HCl variations on a seasonal basis is now possible with MLS data. Inferred stratospheric total chlorine (Cl TOT ) has a value of 3.60 ppbv at the beginning of 2006, with a (2‐sigma) accuracy estimate of 7%; the stratospheric chlorine loading has decreased by about 43 pptv in the 18‐month period studied here. We discuss the MLS HCl measurements in the context of other satellite‐based HCl data, as well as expectations from surface chlorine data. A mean age of air of ∼ 5.5 years and an age spectrum width of 2 years or less provide a fairly good fit to the ensemble of measurements.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.020
GPT teacher head0.268
Teacher spread0.248 · 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

Citations82
Published2006
Admission routes1
Has abstractyes

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