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Changes of sea waves characteristics in the Arctic basin from model ensemble simulations for the 21st century

2020· article· en· W3110321559 on OpenAlexaboutno aff
И. И. Мохов, F. A. Pogarskiy

Bibliographic record

VenueIOP Conference Series Earth and Environmental Science · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSwellClimatologyArcticSea iceStructural basinThe arcticArctic sea ice declineEnvironmental scienceWind waveGeologyCanada BasinClimate changeArctic ice packOceanographySea ice thickness

Abstract

fetched live from OpenAlex

Abstract A significant reduction of the Arctic sea ice extent enhances the sea waves activity in the Arctic Ocean. In this paper we analyze characteristics of wind waves activity in the Arctic basin using the WAVEWATCH III model simulations forced by wind and sea ice fields derived from the CMIP5 global climate models under different scenarios. A relative contribution of wind seas and swells to the total sea waves activity in the Arctic basin from model simulations is assessed and compared to that based on reanalysis data and satellite observations. Possible changes of sea waves characteristics from model simulations for the 21st century with anthropogenic scenarios are estimated. Regional estimates of various states of sea waves (such as wind seas, swells and their interaction, chop-like events) are performed, in particular for the Atlantic sector of the Arctic basin.

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 score0.385
Threshold uncertainty score0.350

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 studies0.0000.001
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 head0.022
GPT teacher head0.197
Teacher spread0.176 · 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
Published2020
Admission routes1
Has abstractyes

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