Secondary Organic Aerosol from Biomass Burning Phenolics Could Increase Brown Carbon Lifetimes, Seed Ice Clouds, and Transport Pollutants
Bibliographic record
Abstract
Biomass burning events emit large amounts of phenolic compounds, which are oxidized in the atmosphere and form secondary organic aerosol (SOA). Using the poke-flow technique, we measured room-temperature and relative humidity (RH)-dependent viscosities of SOA generated by the oxidation of three biomass burning phenolic compounds: catechol, guaiacol, and syringol. All systems had viscosity <3 × 10³ Pa s at RH ⪆ 40% and > 2 × 10⁸ Pa s at RH ⪅ 3%. At RH values of 0-10%, the viscosities of these SOA were at least 2 orders of magnitude higher than the viscosity of primary organic aerosol (POA) from biomass burning. These results suggest that mixing biomass burning SOA and POA may extend the lifetime of the brown carbon in the atmosphere. Based on an extrapolation of our results to tropospheric temperature and RH values, phenolic SOA is in a glassy state (𝜂 > 10¹² Pa s) above ∼6 km in the troposphere, potentially acting as heterogeneous ice nuclei in clouds, thereby influencing climate. Furthermore, the mixing time of organic molecules in a 200 nm phenolic SOA particle exceeds 1 h above 3 km in the troposphere, which has implications for the long-range transport of pollutants.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".