Assessing Controls on the Incomplete Draining of Martian Open‐Basin Lakes
Bibliographic record
Abstract
Abstract Over 250 hydrologically open paleolakes, which filled with water before catastrophically breaching, have been identified on Mars. These open‐basin lakes are recognized by the topographic geometry of a closed contour below the elevation of the outlet, indicating that the lake was incompletely drained by the breach flood. Here, we explore factors that controlled how completely a given open‐basin lake on Mars drained using (a) observations of 24 open‐basin lakes on Mars and (b) numerical modeling experiments of lake breach flooding. Observational results suggest that the key parameters for promoting more complete draining in open‐basin lakes on Mars were steeper regional slopes and taller crater rims. From a suite of 303 numerical experiments, we find that more complete draining is accomplished with larger basins, steeper regional slopes, basins with steeper walls, taller crater rims, and a more erodible substrate (parameterized by grain size in our model). Outliers in the observational results suggest that complete draining was inhibited by the presence of another lake immediately downstream of the breach as well as a less erodible substrate relative to other basins. We observe no correlation between open‐basin lake area and drained fraction on Mars, contrary to the strong trend in our numerical experiments. We hypothesize that this is the result of increasing resistance to erosion with depth in the Martian crust, which is not incorporated into our model. Our results provide new insights into controls on the fluvial integration of the early Mars landscape as well as the spatially variable erodibility of the shallow Martian crust.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".