Characterizing the Chemistry of the Polar Stratosphere above Eureka, Canada with Ground-Based and Satellite Instruments During IPY
Bibliographic record
Abstract
Arctic stratospheric ozone varies greatly year-to-year and season-to-season as it depends on stratospheric dynamics and concentrations of other highly variable trace gases. One of these trace gases is NO2, which is involved in catalytic ozone depletion cycles in the upper stratosphere but can prevent spring-time ozone depletion in the lower stratosphere. NO2 has a short lifetime in the stratosphere, so concentrations depend strongly on available sunlight, which varies greatly throughout the year in the Arctic. We will investigate the variability of Arctic ozone, NO2 and related constituents through the sunlit parts of the International Polar Year with measurements taken at the Polar Environment Atmospheric Research Laboratory (PEARL) in Eureka, Nunavut, Canada (80oN, 86oW). We will compare measurements from three ground-based UV-visible spectrometers and a Bruker 125HR Fourier transform infrared spectrometer with ACE and OSIRIS satellite measurements. Furthermore, we will discuss the seasonal, day-to-day, and diurnal variations of these species and will relate these measurements to available sunlight and dynamical conditions above Eureka.
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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".