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Record W4400288210 · doi:10.5194/epsc2024-1039

Field observations of Mars analogue subglacial drainage systems in Kangerlussuaq - Greenland ice sheet western margin.

2024· preprint· en· W4400288210 on OpenAlexaff
Anna Grau Galofre, Axel Noblet

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsWestern University
Fundersnot available
KeywordsGeologyGreenland ice sheetIce sheetMars Exploration ProgramMargin (machine learning)Ice capsGroenlandiaIce streamEarth scienceGeomorphologyPhysical geographyCryosphereAstrobiologyGlacierClimatologyGeographySea ice

Abstract

fetched live from OpenAlex

Glacial erosion on Mars, and specifically the presence and role of basal meltwater on glacial processes, is a matter of long-standing debate. Whereas observations of glacial landforms related to warm-based glaciation exist both for early Mars (e.g., the Dorsa Argentea ridges) as well as for Amazonian Mars (esker ridges in Phlegra Montes), the inventory of glacial landforms seems to be largely limited to that of subglacial drainage. Here we present results from an analogue study comparing interlinked subglacial cavity systems located on the central-western portion of the Greenland Ice Sheet (GIS), specifically in the region around Kangerlussuaq, with potential subglacial interlinked cavities identified on Batson crater, located northeast of the Hellas basin on Mars. The GIS near Kangerlussuaq is known for subglacial drainage systems consisting on meltwater-filled cavities on a hard bed (Harper et al., 2017), which may become interconnected following episodes of increased discharge. Episodes of connectivity following high pressure subglacial meltwater events may lead to enhanced sliding followed by channelization, and emplacement of subglacial floods (Harper et al., 2017).We present preliminary field and remote sensing observations describing the morphology, topology, organization, and other field characteristics of recently exposed elements of the glacial hydrology system in this analogue site, which were emplaced by the western margin of the GIS. Our field site is located by the Europlanet Transnational Access TA1 Facility 4: Greenland-Kangerlussaq, which offers a unique opportunity to study the subglacial drainage patterns in this region (Carrivick et al., 2016). Few regions in the world offer the opportunity to study recently emplaced, well exposed subglacial morphologies at the level of accessibility of this site. Field data includes in situ-imagery, observations of glacial sliding directions, description of sedimentary deposits, morphology, scale and characteristics of subglacial cavities, and nature of the connection passages. Data acquired in the field is complimented with remote sensing data from the ArcticDEM and Maxar imagery. We then discuss the morphology and geometry of observed interconnected subglacial cavities to morphologically and topologically similar systems located at the Batson crater site on Mars (Grau Galofre et al., 2024), and present a morphometric comparison as well as a qualitative description of similarities and differences with the terrestrial analogue site. We finally discuss the implications for the presence of subglacial interconnected drainage patterns on Mars, and the lessons learned from the Kangerlussuaq analogues to derive identification guidelines, which can assist the community in identifying this somewhat obscure subglacial landforms.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.266
Teacher spread0.201 · 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 designObservational
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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