Hygroscopicity of aerosol and its organic component at a coastal location
Bibliographic record
Abstract
Abstract. As one aspect of the NETwork on Climate and Aerosols: Addressing Key Uncertainties in Remote Canadian Environments (NETCARE), measurements of the cloud condensation nucleation properties of 50 and 100 nm aerosol particles were conducted at Ucluelet on the west coast of Vancouver Island in August 2013. Additionally, the size-resolved chemical speciation of two particle size ranges (42–75 nm and 78–141nm) was inferred using a combination of ion chromatography and particle size distributions. Together, this information was used to estimate the hygroscopicity parameter of the organic species contained within the ambient aerosol particles (κorg). The overall hygroscopicity parameter of the aerosol (κambient) exhibited a wide variation, ranging from 0.14 to 1.08, with the highest values arising when the organic to sulfate ratio of the aerosol composition was lowest and when the winds were from the west, i.e. off the ocean. Correspondingly, the aerosol's two-day average chemical speciation also showed variation but was consistently dominated by its organic (60 to 86% by mass) and sulfate (10 to 34% by mass) components. With derived values of κorg from 0.3 to 0.5, it is illustrated that the organic component of marine-influenced aerosol can be viewed as quite hygroscopic, somewhat more than typical continental organics but not as much as soluble inorganic components.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".