Weakening of springtime Arctic ozone depletion with climate change
Bibliographic record
Abstract
Arctic ozone is subject to large interannual variability, and severe ozone minima can occur through chemical ozone depletion and dynamical variability. Such Arctic ozone minima have been shown to bear a great societal relevance due to their impacts on health and climate. Following the success of the Montreal Protocol, ozone depleting substances (ODSs) in the stratosphere are declining, implying an expected weakening of chemical ozone destruction. However, continuing greenhouse gas (GHG) emissions cool the stratosphere, which might lead to an enhanced formation of polar stratospheric clouds (PSCs) and thus more efficient chemical depletion of ozone. Due to these opposing processes, there is currently no consensus on the fate of Arctic ozone minima in future climate. Here, we investigate the future evolution of Arctic ozone minima over the 21st century under different emission pathways in simulations conducted for the Chemistry-Climate Model Initiative (CCMI), CCMI-1 and CCMI-2022, and constrain these projections based on the models’ skill in reproducing present-day Arctic ozone variability. We find a large model discrepancy in the magnitude of ozone minima under present-day climate, caused by biases in the underlying model climatology. Models that simulate large ozone minima in present-day climate generally have a cold bias, and consequently large concentrations of active chlorine species (ClOx); these are the models that project the largest decline in the magnitude of ozone minima in the future. Conversely, models simulating weak Arctic ozone minima under present-day conditions generally have a warm bias and small ClOx concentrations; these are models with the smallest sensitivity of ozone minima to changes in ODS and GHG emissions. Consequently, inter-model spread in the magnitude of springtime Arctic ozone minima is projected to decline in the future. Through comparison with reanalysis, we identify the most realistic models. These models show a weakening in stratospheric ozone minima of about 1 DU/decade and with little sensitivity to the GHG emission scenario, which is deemed as the most likely projection. Taken together, these results indicate that Arctic ozone minima will likely become weaker in the future, largely due to the decline in ODS abundances, while stratospheric cooling due to GHGs is expected to play a secondary role.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".