Airborne measurements of HCHO and HCOOH during the New England Air Quality Study 2004 using a pulsed quantum cascade laser spectrometer
Bibliographic record
Abstract
Atmospheric mixing ratios of formaldehyde and formic acid have been measured from the NOAA WP‐3 aircraft during the New England Air Quality Study (NEAQS) of July and August 2004 using a newly developed quantum cascade laser (QCL) spectrometer operating at a wavelength of 5.6 μm. The laser operates in pulsed mode with thermoelectric cooling. The detection is based on direct absorption in a compact 76‐m multiple pass absorption cell. The laser is swept over a 0.5 cm−1 spectral region containing multiple lines of both HCHO and HCOOH. Absolute concentrations are retrieved by simultaneous spectral fitting routines with a detection limit (2σ) for HCHO of 0.3 parts in 109 (ppbv) with an averaging time of 60 s under stable flight conditions. HCHO mixing ratios in the range from 0.3 to 5 ppb were encountered during flight conditions. Some of the highest mixing ratios of HCHO were observed over heavily vegetated areas of Florida during the test flights where the ratios of HCHO to methacrolein and methyl vinyl ketone, measured by proton transfer mass spectroscopy, are consistent with formaldehyde production by isoprene oxidation. The highest mixing ratios of HCOOH, up to 10 ppbv, were observed in an aged forest fire plume encountered over northern Canada, in which ratios of HCOOH/CO are greater than previous observations, while the ratios of HCHO/CO are less than previous reports from forest fire plumes. Observations of HCHO/CO and HCOOH/CO in urban plumes are indicative of a mixture of sources from direct emissions and secondary oxidation of anthropogenic and biogenic hydrocarbons. The ability to measure both HCHO and HCOOH simultaneously is of value in assessing the oxidation mechanisms of atmospheric hydrocarbons and secondary organic aerosol formation and oxidation.
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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 | 0.000 |
| 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".