Variability of Methane Plumes at an Arctic Analogue Site with Implications for Martian Exploration
Bibliographic record
Abstract
We examine local variations in methane concentration on short time scales at two sites in the Canadian arctic. Gypsum Hill Springs and Wolf Spring are both martian analogue sites which produce point source methane plumes. Understanding the plume behaviour at these sites could aid in developing future instruments and techniques for characterising martian methane, a gas whose behavior in the atmosphere of Mars is not currently well understood. In 2022 we took wind-direction transects at both sites and observed lower concentrations and lower methane variability upwind of the source, and higher concentrations and methane variability downwind. The methane signal varied on the order of a few seconds, and we saw that this variation resembled Brownian noise, indicative of a diffusive process. The power of the signals we observed are related to the frequency by the relation P = 0 . 84 ( f − 0 . 04 ) 2 − 1 . With an additional transect unaligned with the wind direction at Gypsum Hill as well as additional measurements taken at Wolf Spring in 2024, we saw that the standard deviation in the measurements decreased as we moved away from the methane source not only in the downwind direction but also at an angle to the wind direction. This has implications for trying to localise a methane plume from an unknown source, as the small-scale variability in the signal is a better indicator of proximity to the plume than absolute methane concentration. Thus, capturing high frequency methane measurements is important in localising methane sources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".