Stratospheric correlation between nitric acid and ozone
Bibliographic record
Abstract
An extensive data set of nitric acid (HNO3) and ozone (O3) measurements has been collected in the lower and middle stratosphere with in situ instruments onboard the NASA WB‐57F aircraft and remote sounding instruments that include the JPL MkIV Interferometer, the Aura Microwave Limb Sounder, and the Atmospheric Chemistry Experiment Fourier Transform Spectrometer. The measurements utilized in this study span a broad latitudinal range between the deep tropics and northern high latitudes. The data are used to establish the robustness of the HNO3‐O3 correlation in the stratosphere and the latitudinal dependence in the correlation. Good agreement is found among the HNO3‐O3 correlations observed with the various instruments. Comparing HNO3‐O3 correlations relaxes the coincidence criteria necessary when making direct comparisons of HNO3 measurements and allows meaningful comparisons between data sets that are not closely matched in time or space. The utility of this correlation is further demonstrated by establishing vertical profiles of proxy HNO3 mixing ratios using the observed correlation and widely available ozonesonde data. These profiles expand the range of data available for validating remote measurements of HNO3. The HNO3‐O3 correlation is also demonstrated as a diagnostic for identifying locally enhanced HNO3 in the upper troposphere. In situ measurements of HNO3 near the tropical tropopause during the Aura validation campaigns are consistent with ACE‐FTS observations, with both revealing extremely low mixing ratios (<125 ppt) and a HNO3 minimum in this region.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".