Radiative impact of increased middle atmospheric water vapour in the aftermath of the Hunga 2022 volcanic eruption at two locations in the Northern Hemisphere
Bibliographic record
Abstract
Abstract. Increases in middle atmosphere water vapour as a result of the 2022 Hunga volcanic eruption have now been detected almost globally, with above-average mixing ratios predicted to persist until around 2032. Changes in the middle atmosphere water vapour volume mixing ratio impact chemical reactions in this section of the atmosphere, can result in more favorable conditions for polar stratospheric and mesospheric cloud formation, and have a significant radiative effect on the middle atmosphere and below. For this reason, precise radiative transfer calculations are important to make accurate and precise assessments of changes to both long-wave and short-wave fluxes, and how this may impact the heating rates at different heights in the atmosphere. In this study, water vapour profiles from two microwave radiometers deployed at two different latitudes in Europe are used to analyse changes in water vapour in the aftermath of the Hunga volcano, and a line-by-line radiative transfer model is used to analyse the thermal impact of this increase over Bern, Switzerland, and Ny-Ålesund, Svalbard.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".