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Record W643302178

Stormbaner ved ulikt isdekke i Labradorhavet

2002· dissertation· no· W643302178 on OpenAlexaboutno aff
Øyvind Byrkjedal

Bibliographic record

VenueBergen Open Research Archive (BORA) (University of Bergen) · 2002
Typedissertation
Languageno
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsClimatologySea iceArctic ice packAtmospheric circulationTrough (economics)OceanographySea surface temperatureEnvironmental scienceCryosphereGeology
DOInot available

Abstract

fetched live from OpenAlex

The seaice in the Arctic is an important component in the climate system, and plays an important role by interacting with atmospheric circulation trough surface-albedo and energy-exchanges. To study the atmospheric response to changes in sea-ice and SST in the Labrador Sea an atmospheric global circulation model (ARPEGE/IFS) is constructed. The control-experiment is set up with a climatologic icecover and SST. Two perturbed experiments, LABMAX and LABMIN, is set up with increased ice-cover/lower SST and decreased ice-cover/higher SST in the Labrador Sea respectively. By using the analysis-tool TRACK a southward shift in the stormtracks over the North Atlantic is discovered when increasing the ice-cover beyond the climatology. A reduction in the ice-cover beyond the climatology does not affect the stormtracks over the North Atlantic. A negative feedback-mechanism involving the Labrador Sea ice-cover is proposed. An increase in the ice-cover beyond the climatology will force a southward shift in the stormtracks over the North Atlantic and a decrease in the NAO-index. This gives a response to the atmospheric circulation which tends to reduce the ice-growth in the Labrador Sea.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.995
Threshold uncertainty score0.486

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1450.103

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 head0.061
GPT teacher head0.289
Teacher spread0.228 · 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
Published2002
Admission routes1
Has abstractyes

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