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Record W2186615356

Sea level Atlantic-to-Arctic: an examination of the altimeter record

2012· article· en· W2186615356 on OpenAlexaboutno aff
Gennady A. Chepurin, James A. Carton

Bibliographic record

VenueEGU General Assembly Conference Abstracts · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyHydrographyOcean gyreClimatologyGeologyArcticSea levelAltimeterGeodesyFishery
DOInot available

Abstract

fetched live from OpenAlex

We explore changes in the ocean circulation in the Atlantic, Nordic Seas, and Arctic during the past two decades through examination of the combined historical satellite altimeter sea level record. On seasonal timescales sea level variations have amplitudes of 1-5cm with a phase in shallow seas (e.g. Barents Sea) that lags the seasonal cycle in the open ocean by 2-3 months. The cause of this phase lag is related to the change in phase lag with depth of steric anomalies in this region. The difference in phase lag induces currents along regions of topographic gradient of a few cm/s. On interannual timescales the altimeter record reveals 4.5-5.5 cm anomalies in the sub-Arctic gyre and Norwegian Sea, and smaller 2.5 cm in the Barents and Greenland Seas. As in the case of the seasonal cycle, interannual variations in sea level are shown to be related to steric changes (determined from examination of the historical hydrographic archive), where salinity changes in the Greenland and Norwegian Seas in particular play an important role. In contrast, wind forcing plays an important role in the the northern Barents Sea. Finally we examine the trend over the full 18-year record. Everywhere in the Nordic Seas sea level has increased. The highest rate of rise is about 7 mm/yr which occurs in the Labrador Sea near the south-east coast of Greenland. In the center of Norwegian Sea maximum the rate is 5 mm/yr, while in the Baltic Sea it changes from 2.5 mm/yr on south to practically zero on north.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.115
Threshold uncertainty score0.762

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.048
GPT teacher head0.246
Teacher spread0.198 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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