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Hess Altitudes and Other Morphological Estimators of Glacier Equilibrium Lines

2003· article· en· W2103960872 on OpenAlexaffabout
J. Graham Cogley, Margaret McIntyre

Bibliographic record

VenueArctic Antarctic and Alpine Research · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsTrent University
Fundersnot available
KeywordsGlacierAltitude (triangle)Glacial periodPhysical geographyGeologyLine (geometry)Scale (ratio)ClimatologyAtmospheric sciencesGeomorphologyGeographyMathematicsCartographyGeometry

Abstract

fetched live from OpenAlex

The Hess altitude h on a valley glacier is the altitude of that contour that is most nearly straight. The Kurowsky altitude k is the average of the glacier’s minimum and maximum elevations. The glaciation level g of a glacierized region is the average of the elevations of the lowest glacierized and the highest unglacierized summits. We study the relationships between these morphological variables in well-mapped areas in Axel Heiberg Island, Nunavut, and in northern British Columbia, and also in a set of more widely distributed glaciers with well-known equilibrium-line altitudes e. We confirm that the relationships are strong, although their dispersion is considerable both for single glaciers and at the regional scale. On average h is 130 m below the long-term mean equilibrium line, k is slightly below it, and g is 200 m above it. There is very little morphoclimatic information in h that is not also conveyed by k, and since the latter is faster to measure and is already tabulated for tens of thousands of glaciers, its use is preferable. The glaciation level is less concordant. We suggest that it records interactions between landscape and climate on a somewhat slower time scale. The linear dependences of h on k and g, and of e on each of the 3 morphological estimators, have slopes slightly but significantly less than 1. This result is not yet understood.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.087
GPT teacher head0.329
Teacher spread0.242 · 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.

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

Citations23
Published2003
Admission routes2
Has abstractyes

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