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Record W7132905329

Improving Our Understanding of Arctic Tropospheric Pollution Through Measurements and Models

2024· dissertation· W7132905329 on OpenAlexaboutno aff
Tyler Tabata Wizenberg

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
Fundersnot available
KeywordsTroposphereSatelliteArcticFourier transform infrared spectroscopyAtmosphere (unit)PollutionInfraredAir pollution
DOInot available

Abstract

fetched live from OpenAlex

In this thesis, ground-based Fourier transform infrared (FTIR) measurements from the Polar Environment Atmospheric Research Laboratory (PEARL) in Eureka, Nunavut are used to retrieve total columns of CO, C2H2, C2H4, C2H6, CH3OH, HCOOH, H2CO, and PAN over the period of 2006--2020. The retrievals of C2H4 and PAN were developed as part of this thesis, and are the first long-term ground-based FTIR measurements of these gases in the high Arctic. A global inter-comparison of the TROPOMI and ACE-FTS CO satellite datasets shows strong correlations but a latitudinal dependence of the biases, with positive biases in high-latitude regions and negative biases near the equator. At Eureka, the TROPOMI CO total columns were highly correlated with the ground-based FTIR measurements but with a mean bias of 14.7 +- 0.16%. ACE-FTS and the FTIR CO partial columns show good correlations and a mean bias of 7.89 +- 0.21%. All mean TROPOMI biases fall within the TROPOMI mission accuracy requirement. FTIR measurements of CO, C2H4, CH3OH, HCOOH, and PAN at Eureka were strongly enhanced in August 2017 due to wildfires in British Columbia and the Northwest Territories. For CO, C2H4, HCOOH, and PAN, these were the largest observed enhancements at Eureka. The emissions of these fires were estimated using FTIR and IASI measurements at Eureka, and for C2H4 and HCOOH they were found to be higher than previously reported. The fires were also simulated using the GEOS-Chem model, and the impact of the modeled biomass burning injection height and secondary VOC production was investigated. The inter- and intra-annual variability of the eight trace gases were derived from FTIR measurements at Eureka, Nunavut (2006--2020) and Thule, Greenland (1999--2022). Consistent seasonal cycles were observed at both sites. Decreasing trends were observed for CO, C2H2, and CH3OH at both sites, and for HCOOH at Eureka. Increasing trends were detected for C2H6 and H2CO at both sites, and for PAN at Eureka. A GEOS-Chem simulation for 2003--2021 was performed. The model reproduced the seasonality of all gases, but showed large negative biases for some species. The modeled trends broadly agreed with observations for all species except C2H6, H2CO, and PAN.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.288

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.082
GPT teacher head0.299
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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