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Seasonal Assessment of Secondary Organic Aerosol Formed through Aqueous Pathways in the Eastern United States

2025· article· en· W4409090769 on OpenAlexaff
Shreya Sapkota, Prashant Shekhar, Benjamin N. Murphy, Havala O. T. Pye, Christopher J. Hennigan, Marwa M.H. El-Sayed

Bibliographic record

VenueACS Earth and Space Chemistry · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsToronto Metropolitan University
FundersEmbry-Riddle Aeronautical University
KeywordsAerosolAqueous solutionEnvironmental scienceEnvironmental chemistryChemistryAtmospheric sciencesGeographyMeteorologyPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Despite the importance of aqueous secondary organic aerosol (aqSOA), several uncertainties remain regarding its formation. These include the seasonal contributions of aqSOA to the total SOA mass and the relative proportions formed via reversible versus irreversible pathways. In this study, we use measurements of seasonal water-soluble organic compounds in the particle and gaseous phases (i.e., WSOC p and WSOC g, respectively) at a site in the eastern U.S. to quantify aqSOA concentrations as well as its reversible and irreversible fractions within each season. We show evidence that aqSOA concentrations present a significant contribution to total SOA mass during the nighttime in the eastern U.S. with ∼30 and ∼50% in the cold and warm seasons, respectively. Further, aqSOA mass is mostly formed through irreversible pathways, except during the warm seasons, where reversible partitioning of WSOC g accounts for ∼10% of the total SOA mass (∼20% of aqSOA mass). Comparisons between the seasonally measured aqSOA concentrations and their counterpart community multiscale air quality (CMAQ) modeled mass provide evidence that accounting for additional reversible and irreversible aqSOA pathways could improve model predictions of SOA concentrations and close the current gap between those predictions and field observations. This work holds valuable implications for the atmospheric chemistry of multiphase aerosol formation and its accurate representation in chemical transport models.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
Threshold uncertainty score0.793

Codex and Gemma teacher scores by category

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

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 head0.010
GPT teacher head0.220
Teacher spread0.210 · 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.

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

Citations4
Published2025
Admission routes1
Has abstractyes

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