A Martian analog for spatially varying methane microseepage - polygons at Expedition Strip, Axel Heiberg Island
Bibliographic record
Abstract
Methane measurements on Mars suggest that there are two main sources of methane into the atmosphere, point sources and microseepage contributing to background methane measurements. The background methane appears to vary throughout the Martian year. Several microseepage mechanisms have been proposed but have not been validated due to the scarcity of data. Future missions may be interested in measuring methane at high spatiotemporal increments. To support future work, we investigated methane spatial variability across three field seasons in a Martian analog environment. The polygonal terrain on Axel Heiberg Island has previously been studied for methane producing and oxidizing microbial organisms, with environmental conditions such as temperature and water affecting the methane flux. We leveraged this population diversity to investigate the methane spatial variability across individual polygons. We find that changes in methane concentration at one of our polygons was ∼ 3.5 ppbv over 10 m from center to trough. The variability we observed on the meter-scale is within the capabilities of an instrument with similar sensitivity to the Sample Analyzer at Mars – Tunable Laser Spectrometer currently onboard the Mars Science Laboratory rover. • Detailed spatial methane sampling is necessary to understand Martian methane. • Arctic polygonal terrain is an analog environment for methane flux at meter-scales. • Methane concentration was observed to vary ∼ 3.5 ppbv over 10 m. • The variability is within the capabilities of the methane measuring devices currently on Mars.
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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 | 0.000 |
| 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".