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Record W2108255702 · doi:10.1002/jgrd.50721

Understanding the role of the ground surface in HONO vertical structure: High resolution vertical profiles during NACHTT‐11

2013· article· en· W2108255702 on OpenAlexafffund
Trevor C. VandenBoer, Steven S. Brown, J. G. Murphy, W. C. Keene, Cora J. Young, Alex Pszenny, S. Kim, C. Warneke, J. A. de Gouw, J. R. Maben, N. L. Wagner, Theran P. Riedel, Joel A. Thornton, D. E. Wolfe, W. P. Dubé, Fatma Öztürk, C. A. Brock, N. Grossberg, B. L. Lefer, B. M. Lerner, A. M. Middlebrook, J. M. Roberts

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsUniversity of TorontoMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of VirginiaNational Oceanic and Atmospheric AdministrationNational Science Foundation
KeywordsDaytimeNitrous acidAerosolAtmospheric sciencesDiurnal cycleChemistryMeteorologyGeologyPhysics

Abstract

fetched live from OpenAlex

A negative‐ion proton‐transfer chemical ionization mass spectrometer was deployed on a mobile tower‐mounted platform during Nitrogen, Aerosol Composition, and Halogens on a Tall Tower (NACHTT) to measure nitrous acid (HONO) in the winter of 2011. High resolution vertical profiles revealed (i) HONO gradients in nocturnal boundary layers, (ii) ground surface dominates HONO production by heterogeneous uptake of NO 2 , (iii) significant quantities of HONO may be deposited to the ground surface at night, (iv) daytime gradients indicative of ground HONO production or emission, and (v) an estimated surface HONO reservoir comparable or larger than integrated daytime HONO surface production. Nocturnal integrated column observations of HONO and NO 2 allowed direct evaluation of nocturnal ground surface uptake coefficients for these species (γ NO2, surf = 2 × 10 −6 to 1.6 × 10 −5 and γ HONO, surf = 2 × 10 −5 to 2 × 10 −4 ). A chemical model showed that the unknown source of HONO was highest in the morning, 4 × 10 6 molecules cm −3 s −1 (600 pptv h −1 ), declined throughout the day, and minimized near 1 × 10 6 molecules cm −3 s −1 (165 pptv h −1 ). The quantity of surface‐deposited HONO was also modeled, showing that HONO deposited to the surface at night was at least 25%, and likely in excess of 100%, of the calculated unknown daytime HONO source. These results suggest that if nocturnally deposited HONO forms a conservative surface reservoir, which can be released the following day, a significant fraction of the daytime HONO source can be explained for the NACHTT observations.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.256
Teacher spread0.222 · 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 teacher head, not a consensus.

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

Citations218
Published2013
Admission routes2
Has abstractyes

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