MétaCan
Menu
Back to cohort
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 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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0000.002
Open science0.0060.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0680.006

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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Explore more

Same venueBergen Open Research Archive (BORA) (University of Bergen)Same topicArctic and Antarctic ice dynamicsFrench-language works237,207