Underestimation of Anthropogenic CHBr3 Emissions: Implications for Ozone Depletion
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Bromoform (CHBr3), a recognized contributor to stratospheric ozone depletion, has been largely exempt from the Montreal Protocol's regulation due to its short atmospheric lifetime and large natural emissions. Using our recent CHBr3 emission inventory containing both natural and anthropogenic sources, we reevaluated the role played by the latter in the total CHBr3 flux into the Northern Hemisphere extratropical stratosphere. Derived mainly from ship ballast, power plant cooling and desalination plant brine water, these anthropogenic sources suggest a substantial underestimation in previous global CHBr3 emission estimates. Anthropogenic sources have been underestimated by 31.5% globally, and more alarmingly, this underestimation escalates to 70.5% when focusing on the Northern Hemisphere. Consequently, atmospheric CHBr3 concentrations are also significantly higher than previous estimates, especially over the NH extratropics during boreal winter. The ODP-weighted emissions in the NH based on historical ECMWF meteorology are ~28.2 Gg Br/year, increased by ~78% above previous estimates, suggesting a more significant contribution of anthropogenic CHBr3 to stratospheric ozone depletion, especially in the NH lowermost stratosphere. To study the potential impact of these revised emission inventories, we employ the Whole Atmosphere Community Climate Model (WACCM), which enables us to project the future ozone depletion from CHBr3 under climate change scenarios and evaluate the necessity for regulatory measures to manage anthropogenic sources.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it