Variability of Stratospheric Reactive Nitrogen and Ozone Related to the QBO
Bibliographic record
Abstract
Abstract The stratospheric quasi‐biennial oscillation (QBO) dominates interannual variability of dynamical variables and trace constituents in the tropical stratosphere and provides a natural experiment to test circulation‐chemistry interactions. This work quantifies the relationships among ozone (O 3 ), reactive nitrogen (NO y ), and source gas N 2 O, and their links to the QBO, based on satellite constituent measurements and meteorological data spanning 2005–2014 (over four QBO cycles). Data include O 3 , HNO 3 , and N 2 O from the Aura Microwave Limb Sounder and an NO x proxy derived from Optical Spectrograph and Infrared Imager System NO 2 measurements combined with a photochemical box model (= NO x *). Results are compared to simulations from the Whole Atmosphere Community Climate Model, version 4 incorporating a QBO circulation nudged to assimilated winds. Cross correlations and composites with respect to the QBO phase show coherent 180° out‐of‐phase relationships between NO y and N 2 O throughout the stratosphere, with the NO x /HNO 3 ratio increasing with altitude. The anomalies in NO y species propagate coherently downward with the QBO. Ozone is anticorrelated with reactive nitrogen in the middle stratosphere above ~28 km due to NO x control of ozone catalytic loss cycles. Quantitative comparisons of nitrogen partitioning and O 3 sensitivity to NO x show good overall agreement between satellite observations and model results (suggesting closure of the NO y budget), although the model results show larger (up to ~20%) N 2 O, NO x , and O 3 variations near ~35 km compared to observations. These analyses serve to assess the consistency of diverse satellite‐based data sets and also to evaluate nitrogen partitioning and NO x ‐dependent ozone chemistry in the global model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".