MétaCan
Menu
Back to cohort
Record W7027736278

Detection and trends of atmospheric long-lived halogenated gases from space with IASI

2023· other· en· W7027736278 on OpenAlexaboutno aff

Bibliographic record

VenueDépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles) · 2023
Typeother
Languageen
FieldChemistry
TopicSurfactants and Colloidal Systems
Canadian institutionsnot available
Fundersnot available
KeywordsSatelliteGreenhouse gasMontreal ProtocolOzone layerTroposphereOzoneNadirRadiative transferTropospheric ozone
DOInot available

Abstract

fetched live from OpenAlex

Since the 1900s, emissions of CFCs and other long-lived halogenated species have profoundly affected the chemical and radiative equilibrium of our atmosphere. These halogenated compounds are known to be powerful greenhouse gases and contribute, for chlorinated and brominated compounds, to the depletion of the ozone layer and to the development of the ozone hole. With the aim of mitigating their deleterious impact on the environment, most long-lived halogenated species are controlled by international treaties, the most famous of which is the Montreal Protocol of 1987. Their monitoring is essential to evaluate the effectiveness of international regulations with regard to emissions, and ultimately to assess the environmental impacts of the changes at play. Sustained global networks located on ground have provided highly accurate measurements of the atmospheric concentrations of long-lived halogenated species for 50 years. The aim of this thesis is to assess the potential of infrared satellite sounders operating in the nadir geometry, to contribute to their monitoring and thereby complement existing surface measurement networks. The research work is centered on the exploitation of the measurements from the IASI sounder. Its stability and the consistency between the diff erent instruments on the successive Metop (A,B and C) is remarkable and makes it a reference for climate monitoring. Among other things, IASI offers the potential to investigate trends in the concentration of various species better than with any other previous or current hyperspectral infrared sounder. The low noise of IASI radiances is also such that even weakly absorbing atmospheric constituents can be tracked, on single or at least on averaged spectra. As a first step, we sought to determine which long-lived halogenated species can be detected in IASI spectra. To achieve this, we have developed an innovative methodology, based on spectral whitening, which allows to isolate the weak spectral signatures of several long-lived halogenated species by removing most of the largest and most variable spectral features from IASI spectra. The major outcome is the unambiguous identifi cation of eight long-lived halogenated species, namely CFC-11, CFC-12, CCl4 ,HCFC-22, HCFC-142b, HFC-134a, CF4 and SF6. Three of these (HCFC-142b, HFC-134a, SF6 ) were never detected before. In a second stage, we sought to retrieve the atmospheric concentrations of the species detected in the first part of the work. For that, we rely on an unconstrained generalized least squares estimation retrieval methodology. Focussing on two oceanic regions over northern and southern mid-latitudes, we derive the monthly concentrations between 2008 and 2022. The trend evolution in the diff erent chemical species, either negative or positive, is validated against what is observed with ground-based measurement networks and other satellite data. The results demonstrate the potential of IASI and follow-up missions for establishing a unique long-term time series of themost important long-lived halogenated species.

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 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), Research integrity, 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.433
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.007
GPT teacher head0.176
Teacher spread0.169 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueDépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles)Same topicSurfactants and Colloidal SystemsFrench-language works237,207