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Record W6998424611

‘Analytical Chemistry in Near Space: Exploring the Stratosphere, threats to the Ozone Layer, and the Ongoing Challenges to Ozone Recovery’

2024· other· en· W6998424611 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUEA Digital Repository (University of East Anglia) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsStratosphereOzoneOzone layerMontreal ProtocolOzone depletionAtmospheric chemistryTrace gasAtmospheric compositionRange (aeronautics)Air pollution
DOInot available

Abstract

fetched live from OpenAlex

Under the international agreement that formed the Montréal Protocol on Substances that Deplete the Ozone Layer, the production and consumption of ozone-depleting substances was phased out, in order to limit their contribution to stratospheric ozone depletion. Ongoing monitoring is necessary in order to ensure compliance with the Montréal Protocol, to identify and respond to new threats to the ozone layer and verify that the atmospheric abundance of ozone-depleting substances continues to fall. Here I utilise a number of different techniques to investigate ozone-depleting substances, this includes model data but primarily focuses on measurements taken using in-situ sample collection from large balloon flights, high-altitude research aircraft flights, and the novel ‘AirCore’ technique which collected samples using smaller balloons. Firstly, this thesis investigates four comparatively longer-lived CFCs (CFC-13, CFC-114, CFC-114a and CFC-115), and derives (sometimes for the first time) observation-based policy relevant metrics for these under-studied compounds. Model data is used to investigate how changes to stratospheric circulation or chemistry could affect these metrics for these compounds, and a sensitivity study of the model is conducted. Next this thesis explores the feasibility of deriving stratospheric concentrations of seven atmospheric trace gases through sampling via the AirCore technique. These compounds are: PFC-116, HFC-125, CFC-113, CFC-115, methyl chloride, HCFC-141b, and HCFC-142b. In addition to testing a range of factors in order to refine a set of ‘best practices’ for the technique, the thesis explores the effect of seasonality and location on key metrics (FRFs and ODPs), the rates at which they dissociate in the stratosphere and their potential for ozone depletion. The thesis investigates previously held assumptions regarding how fractional release (the rate at which a compound dissociates in the stratosphere) is calculated and the impact of seasonality and latitude on these. Having explored a number of compounds that are of interest in ozone depletion chemistry, this thesis investigates ways to monitor their impact on the ozone layer, identifying multiple challenges to accurate monitoring and testing solutions to them. Alongside deriving new estimates of policy relevant metrics which are important tools in accurately assessing and combating threats to the ozone layer, and deriving new emissions estimates for some compounds, this thesis has a few overall conclusions. Firstly, that CFC-13 did not have a previous estimate for stratospheric lifetime, but had a total atmospheric lifetime of 650 years, while CFC-115 had a previous stratospheric lifetime estimate of 664. These lifetime estimates are revised here to 315 years and 369 years respectively, and in order to account for current abundance greater emissions are required (and estimated here). Secondly that the assumptions underlying the calculation of fractional release leave a broad margin for uncertainty, with FRFs varying significantly (e.g. ±12 % for CFC-113 and ±19 % for CFC-115) over different seasons and geographical areas. Finally, that in the absence of reliable in-situ data (methods for which this thesis explores), model simulations and lab-based kinetics experiments cannot tell the whole story, which is something this research seeks to address.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.035
GPT teacher head0.217
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it