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Record W2131935670 · doi:10.1029/2003jd004203

Impacts of biomass burning in Southeast Asia on ozone and reactive nitrogen over the western Pacific in spring

2004· article· en· W2131935670 on OpenAlexaboutno aff
Y. Kondo, Yu Morino, N. Takegawa, M. Koike, Kazuyuki Kita, Yuzo Miyazaki, G. W. Sachse, S. A. Vay, M. A. Avery, F. Flocke, A. J. Weinheimer, F. L. Eisele, Mark A. Zondlo, Rodney J. Weber, H. B. Singh, G. Chen, J. H. Crawford, D. R. Blake, Henry E. Fuelberg, A. D. Clarke, R. W. Talbot, S. T. Sandholm, E. V. Browell, David G. Streets, Ben Liley

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
FundersMinistry of Education, Culture, Sports, Science and Technology
KeywordsReactive nitrogenTroposphereEnvironmental scienceOzoneAltitude (triangle)Trace gasChemical transport modelNitrogenNitrateSulfateAtmospheric sciencesTropospheric ozoneScavengingEnvironmental chemistryOceanographyChemistryGeology

Abstract

fetched live from OpenAlex

Aircraft measurements of ozone (O 3 ) and its precursors (reactive nitrogen, CO, nonmethane hydrocarbons) were made over the western Pacific during the Transport and Chemical Evolution Over the Pacific (TRACE‐P) campaign, which was conducted during February–April 2001. Biomass burning activity was high over Southeast Asia (SEA) during this period (dry season), and convective activity over SEA frequently transported air from the boundary layer to the free troposphere, followed by eastward transport to the sampling region over the western Pacific south of 30°N. This data set allows for systematic investigations of the chemical and physical processes in the outflow from SEA. Methyl chloride (CH 3 Cl) and CO are chosen as primary and secondary tracers, respectively, to gauge the degree of the impact of emissions of trace species from biomass burning. Biomass burning is found to be a major source of reactive nitrogen (NO x , PAN, HNO 3 , and nitrate) and O 3 in this region from correlations of these species with the tracers. Changes in the abundance of reactive nitrogen during upward transport are quantified from the altitude change of the slopes of the correlations of these species with CO. NO x decreased with altitude due to its oxidation to HNO 3 . On the other hand, PAN was conserved during transport from the lower to the middle troposphere, consistent with its low water solubility and chemical stability at low temperatures. Large losses of HNO 3 and nitrate, which are highly water soluble, occurred in the free troposphere, most likely due to wet removal by precipitation. This has been shown to be the major pathway of NO y loss in the middle troposphere. Increases in the mixing ratios of O 3 and its precursors due to biomass burning in SEA are estimated using the tracers. Enhancements of CO and total reactive nitrogen (NO y ), which are directly emitted from biomass burning, were largest at 2–4 km. At this altitude the increases in NO y and O 3 were 810 parts per trillion by volume (pptv) and 26 parts per billion by volume (ppbv) above their background values of 240 pptv and 31 ppbv, respectively. The slope of the O 3 ‐CO correlation in biomass burning plumes was similar to those observed in fire plumes in northern Australia, Africa, and Canada. The O 3 production efficiency (OPE) derived from the O 3 ‐CO slope and NO x /CO emission ratio (ER) is shown to be positively correlated with the C 2 H 4 /NO x ER, indicating that the C 2 H 4 /NO x ER is a critical parameter in determining the OPE. Comparison of the net O 3 flux across the western Pacific region and total O 3 production due to biomass burning in SEA suggests that about 70% of O 3 produced was transported to the western Pacific.

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 score0.112
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.285
Teacher spread0.261 · 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

Citations94
Published2004
Admission routes1
Has abstractyes

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