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Record W4297888319 · doi:10.5194/acp-2022-217-ac3

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2022· peer-review· en· W4297888319 on OpenAlexaff
Beatriz Herrera

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldEnvironmental Science
TopicAir Quality Monitoring and Forecasting
Canadian institutionsUniversity of TorontoThe Scarborough Hospital
Fundersnot available
KeywordsSpan (engineering)Fourier transform infrared spectroscopyAtmosphere (unit)MeteorologyAtmospheric sciencesChemistryAnalytical Chemistry (journal)PhysicsOpticsEnvironmental chemistry

Abstract

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<strong class="journal-contentHeaderColor">Abstract.</strong> Ammonia (NH<span class="inline-formula"><sub>3</sub></span>) is the most abundant alkaline compound in the atmosphere, with consequences for the environment, human health, and radiative forcing. In urban environments, it is known to play a key role in the formation of secondary aerosols through its reactions with nitric and sulfuric acids. However, there are only a few studies about NH<span class="inline-formula"><sub>3</sub></span> in Mexico City. In this work, atmospheric NH<span class="inline-formula"><sub>3</sub></span> was measured over Mexico City between 2012 and 2020 by means of ground-based solar absorption spectroscopy using Fourier transform infrared (FTIR) spectrometers at two sites (urban and remote). Total columns of NH<span class="inline-formula"><sub>3</sub></span> were retrieved from the FTIR spectra and compared with data obtained from the Infrared Atmospheric Sounding Interferometer (IASI) satellite instrument. The diurnal variability of NH<span class="inline-formula"><sub>3</sub></span> differs between the two FTIR stations and is strongly influenced by the urban sources. Most of the NH<span class="inline-formula"><sub>3</sub></span> measured at the urban station is from local sources, while the NH<span class="inline-formula"><sub>3</sub></span> observed at the remote site is most likely transported from the city and surrounding areas. The evolution of the boundary layer and the temperature play a significant role in the recorded seasonal and diurnal patterns of NH<span class="inline-formula"><sub>3</sub></span>. Although the vertical columns of NH<span class="inline-formula"><sub>3</sub></span> are much larger at the urban station, the observed annual cycles are similar for both stations, with the largest values in the warm months, such as April and May. The IASI measurements underestimate the FTIR NH<span class="inline-formula"><sub>3</sub></span> total columns by an average of <span class="inline-formula">32.2±27.5</span> % but exhibit similar temporal variability. The NH<span class="inline-formula"><sub>3</sub></span> spatial distribution from IASI shows the largest columns in the northeast part of the city. In general, NH<span class="inline-formula"><sub>3</sub></span> total columns over Mexico City measured at the FTIR stations exhibited an average annual increase of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M16" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">92</mn><mo>±</mo><mn mathvariant="normal">3.9</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">13</mn></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="73pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="e73707c46a7b6c10dbbb918d72c2c615"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-14119-2022-ie00001.svg" width="73pt" height="14pt" src="acp-22-14119-2022-ie00001.png"/></svg:svg></span></span> molecules cm<span class="inline-formula"><sup>−2</sup></span> yr<span class="inline-formula"><sup>−1</sup></span> (urban, from 2012 to 2019) and <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M19" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">8.4</mn><mo>±</mo><mn mathvariant="normal">1.4</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">13</mn></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="76pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="82622775d6cd88e0fa1386c57f952fce"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-14119-2022-ie00002.svg" width="76pt" height="14pt" src="acp-22-14119-2022-ie00002.png"/></svg:svg></span></span> molecules cm<span class="inline-formula"><sup>−2</sup></span> yr<span class="inline-formula"><sup>−1</sup></span> (remote, from 2012 to 2020), while IASI data within 20 km of the urban station exhibited an average annual increase of <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M22" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">38</mn><mo>±</mo><mn mathvariant="normal">7.6</mn><mo>×</mo><msup><mn mathvariant="normal">10</mn><mn mathvariant="normal">13</mn></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="73pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="30ca33eea9d52ebb0c2ecbb180d94908"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-22-14119-2022-ie00003.svg" width="73pt" height="14pt" src="acp-22-14119-2022-ie00003.png"/></svg:svg></span></span> molecules cm<span class="inline-formula"><sup>−2</sup></span> yr<span class="inline-formula"><sup>−1</sup></span> from 2008 to 2018.

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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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.131
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.1350.003

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 head0.063
GPT teacher head0.319
Teacher spread0.255 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes1
Has abstractyes

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