Seasonal and spatial variations in methyl chloride in NW Atlantic waters
Bibliographic record
Abstract
Methyl chloride concentrations were measured in the upper 200 m of the water column of the NW Atlantic during three cruises along the same track in spring, summer and fall of 2003. Distinct seasonality was apparent, with the surface waters being either undersaturated or close to equilibrium with the atmosphere in spring, but with supersaturation of the warmer waters in summer and fall. Cooler waters at the more northerly stations were always undersaturated, thus representing a continual sink for atmospheric methyl chloride. Even on an annual basis, the concentration anomaly (the difference between measured concentration and equilibrium with the atmosphere) was strongly dependent on sea surface temperature (SST). This empirical relationship can be used to extrapolate fluxes globally or to estimate the influence of global warming on ocean‐to‐atmosphere fluxes of methyl chloride. The global flux of methyl chloride to the atmosphere estimate based on the full‐year relationship between concentration anomaly and SST is 17 Gmol/y, and is reduced to 6 Gmol/y if separate seasonal relationships are used. It appears that the ocean component of the flux is highly sensitive to temperature, but the actual source of the methyl chloride in ocean waters remains largely unknown.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".