Ocean-air N[subscript 2]O trace gas fluxes in Halifax Harbour derived from open-path FTIR measurements
Bibliographic record
Abstract
Open-Path Fourier Transform Infrared (OP-FTIR) spectroscopy is an established technique for path-average measurements of atmospheric trace gas concentrations. We describe the novel application of OP-FTIR to measure ocean-air gas fluxes across 586 m of Halifax Harbour (northwest Atlantic coast), also using a 3-D sonic anemometer and two vertically separated retroreflector arrays. We present spectroscopic retrievals of nitrous oxide (N2O) concentration, micrometeorological data characteristics, and flux-gradient method calculations of ocean-air N2O flux. From Dec. 2020 to Apr. 2021 the calculated ocean sink of −10.81 kgN2Oha−1 agreed broadly with a global model of thermal (solubility-driven) N2O flux. A powerful short-term ocean source event observed on Dec. 15-17 (+2.00 kgN2Oha−1 ) correlated with high winds and strong ocean cooling that plausibly caused surface overturning and the upwelling of N2O-rich deeper waters. The method presented is well suited to high frequency monitoring of coastal N2O fluxes, necessary to resolve complex physical, chemical and biological processes.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".