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Record W1980407359 · doi:10.1029/1999gl011218

Seasonal variations of HCN over northern Japan measured by ground‐based infrared solar spectroscopy

2000· article· en· W1980407359 on OpenAlexaff
Y. Zhao, Y. Kondo, F. J. Murcray, X. Liu, M. Koike, Hitoshi Irie, Kimberly Strong, Keigo Suzuki, Maria D. Sera, Yusaku Ikegami

Bibliographic record

VenueGeophysical Research Letters · 2000
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMixing ratioTroposphereInfraredFourier transform infrared spectroscopyInfrared spectroscopySeasonalitySpectral lineAnalytical Chemistry (journal)SpectroscopyAtmospheric sciencesChemistryEnvironmental sciencePhysicsOpticsEnvironmental chemistry

Abstract

fetched live from OpenAlex

Ground‐based infrared solar spectra were recorded at Rikubetsu (43.5°N) and Moshiri (44.4°N) in Japan using Fourier transform infrared (FTIR) spectrometers from 1995 to 1997. Total column amounts and tropospheric mixing ratios of HCN were derived from these spectra in the 3287.05–3287.40 cm −1 micro‐window using a nonlinear least squares spectral fitting method. The HCN values at these two locations showed significant seasonal variations. The HCN total column reached a maximum value of 6.57±0.84×10 15 molecules cm −2 in summer (June–August) and a minimum value of 3.97±0.30×10 15 molecules cm −2 in winter (December–February). The maximum and minimum tropospheric HCN mixing ratios were 333±44 (summer) and 195±16 (winter) parts per trillion by volume (pptv), respectively. These seasonal variations suggest that the lifetime of HCN is shorter than one year. The enhancement of HCN above its seasonal mean (ΔHCN) was correlated with the enhancement of CO ( ΔCO). A constant ΔHCN/ΔCO ratio suggests biomass burning as a source of HCN.

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 score0.354
Threshold uncertainty score1.000

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)0.0100.001

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 head0.019
GPT teacher head0.263
Teacher spread0.244 · 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

Citations32
Published2000
Admission routes1
Has abstractyes

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