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Record W2996278939 · doi:10.1002/joc.6448

Observational and modelling evidence of a zonal circulation over the North Pacific

2019· article· en· W2996278939 on OpenAlexaboutno aff
Youjia Zou, Xiangying Xi

Bibliographic record

VenueInternational Journal of Climatology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
Fundersnot available
KeywordsClimatologyRadiosondeGeologyOceanographyCirculation (fluid dynamics)Walker circulationLatitudeSea surface temperatureAtmospheric sciencesGeodesy

Abstract

fetched live from OpenAlex

Abstract The equatorial Pacific Walker Circulation (EPWC), characterized by ascending motion (lower sea‐level pressure [SLP]) over Indonesia and descending motion (higher SLP) over the Eastern Pacific, has been widely recognized. Yet, little is known about a zonal circulation over the North Pacific (hereafter referred to as NPZC) with ascent over the west coast of Canada and descent over the east coast of Russia, which plays an important role in maintaining Northern Hemisphere mid‐latitude climate. Here we provide evidence for the existence of the NPZC by comparing the eastern and western North Pacific around 50°N with the western and eastern equatorial Pacific, respectively. We find that the EPWC and NPZC bear strong similarity in many essential aspects, such as the zonal gradients of temperature and SLP, precipitation records and prevailing winds, and so on, thus, suggesting a NPZC. The existence of a NPZC is also strongly supported by observations in situ using radiosonde balloon soundings as well as numerical simulations.

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)0.000
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.066
GPT teacher head0.297
Teacher spread0.231 · 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 designSimulation or modeling
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
Published2019
Admission routes1
Has abstractyes

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