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Record W3213390884 · doi:10.1029/2021je006979

Modeling the Hydrodynamics, Sediment Transport, and Valley Incision of Outlet‐Forming Floods From Martian Crater Lakes

2021· article· en· W3213390884 on OpenAlexaff
C. I. Fassett, T. A. Goudge

Bibliographic record

VenueJournal of Geophysical Research Planets · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsCanadian Institute for Advanced Research
FundersScience Mission Directorate
KeywordsSediment transportGeologyBed loadImpact craterFluvialSedimentStructural basinMars Exploration ProgramGeomorphologyMartianErosionHydrology (agriculture)Flood mythGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract Open‐basin lakes that have outlets, formed where the stored water breached the basin‐confining topography (e.g., crater rims), have been recognized on Mars for decades. However, the mechanics involved in formation of these outlets has not been studied in detail. Here, we study this outlet formation process through a series of numerical experiments accomplished by adding erosion and sediment transport routines to an existing hydrodynamic simulation, ANUGA. These experiments are consistent with outlets being carved in single flood events, at least if sediment was available throughout outlet formation as in a transport‐limited regime. Peak discharges from these open‐basin lakes, including from Jezero crater, were 10 4 to 10 6 m 3 /s, and the outlet‐forming floods lasted for days to weeks, depending on lake size. Moreover, we find that sediment transport by suspension was likely important during these floods—outlets could not have reached their observed sizes if flow was limited to bedload transport alone. This in turn may explain why small open‐basin lakes are less commonly recognized on Mars, as small lakes had less inherent capacity to transport sediment in suspension and thus incise confining topography catastrophically. Geometry, topographic setting, and earlier fluvial valley development may have played a significant role in influencing the magnitude of outlet‐forming floods and resulting outlet canyon incision.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.649
Threshold uncertainty score0.216

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.294
Teacher spread0.259 · 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.

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

Citations9
Published2021
Admission routes1
Has abstractyes

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