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Record W1966901506 · doi:10.1029/2002jd003188

Partitioning of reactive atmospheric nitrogen oxides at an elevated site in southern Quebec, Canada

2003· article· en· W1966901506 on OpenAlexaffabout
Katherine Hayden, K. G. Anlauf, D. R. Hastie, J. W. Bottenheim

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsYork UniversityEnvironment and Climate Change Canada
Fundersnot available
KeywordsReactive nitrogenNitrogenEnvironmental scienceMixing ratioAtmospheric sciencesAtmosphere (unit)NitrateNitrogen oxidesAerosolEnvironmental chemistrySeasonalityClimatologyChemistryGeographyMeteorologyGeologyEcology

Abstract

fetched live from OpenAlex

Measurements of the major reactive nitrogen oxides including NO, NO2, HNO3, particulate nitrate, PAN, and NOy, as well as O3 and supporting meteorology, were made at an elevated site (845 masl) in the rural eastern townships of Quebec, Canada, from February 1998 to October 1999. NOx (and NOy) mixing ratios exhibited a distinct seasonal cycle with median NOx levels in winter more than a factor of 4 greater than in summer. Seasonal partitioning indicated that NOx was the dominant fraction of NOy during winter (>70%), with HNO3 and PAN fractions of <18 and 9%, respectively. The NOy reservoir in summer consisted of average contributions from NOx, HNO3, and PAN of 35, 20–25, and 13%, respectively. A NOy deficit of the order of 25–30% was observed during spring and summer that could not be explained by measurement uncertainties or potential interferences. It is possible that there were other reactive nitrogen species in the atmosphere that were not separately measured that contributed to the NOy deficit. Indications are that these compounds were photochemically produced and present in highly processed air masses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.260
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations39
Published2003
Admission routes2
Has abstractyes

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