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Record W2031694324 · doi:10.1029/2007jf000760

Melt season duration and ice layer formation on the Greenland ice sheet, 2000–2004

2007· article· en· W2031694324 on OpenAlexaff
Libo Wang, Martin Sharp, Benoît Rivard, Konrad Steffen

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2007
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsUniversity of Alberta
FundersNational Aeronautics and Space Administration
KeywordsGreenland ice sheetIce sheetGeologyIce streamCryosphereIce-sheet modelClimatologyArctic ice packIce formationAtmospheric sciencesSea iceGeomorphology

Abstract

fetched live from OpenAlex

Time series of enhanced resolution QuikSCAT images were used to map the extent and duration of surface melt and the distribution of ice layer formation on the Greenland ice sheet in the period 2000–2004. Apart from the bare ice and the mixed pixels (10%) along the ice sheet margin where melt cannot be determined reliably, annual melt duration and melt anomaly maps were produced across the ice sheet (90%) for each summer. Over the 5‐year period, the mean melt duration for the ice sheet ranged from 14.3 to 20.5 d. The proportion of the ice sheet that experienced melting in a given year ranged from 44.2% to 79.2%. Extensive melt in 2002 was caused by a single melt event of a few days duration. This event was associated with the intrusion of a ridge of high pressure from the North Atlantic Ocean that brought warm air onto the ice sheet. The change in biweekly averaged backscatter between the freeze up periods in the current and previous falls was used to identify changes in the distribution of ice layers in snow between successive melt seasons. The year 2002 had the maximum melt extent and duration, and ice layer formation extended to higher elevations than in other years. Interannual changes in the distribution of ice layer formation may be associated with changes in surface height that are not necessarily indicative of mass balance changes. Mapping of ice layer formation is thus potentially useful for interpreting both real and apparent height changes measured by altimetry.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.663
Threshold uncertainty score0.533

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.051
GPT teacher head0.302
Teacher spread0.251 · 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 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

Citations50
Published2007
Admission routes1
Has abstractyes

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