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Record W7105792656 · doi:10.24400/527896/a03-2016.2005

Tropical Connections Along the Eastern Pacific During the 2014-16 El Niño and "Warm Anomaly" Events

2016· article· W7105792656 on OpenAlexaboutno aff

Bibliographic record

VenueCentre National d’Etudes Spatiales · 2016
Typearticle
Language
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
Fundersnot available
KeywordsEquatorAltimeterBorealTide gaugeSea levelSea-surface heightSea surface temperatureLa Niña

Abstract

fetched live from OpenAlex

Altimeter and atmospheric model fields are used to describe the temporal evolution of alongshore geostrophic transports, winds and sea surface height (SSH) signals in the eastern Pacific Ocean next to North and South America between the Equator and mid-latitudes during 2014-2016. The development of the partial and complete El Niño events during 2014 and 2015 are described and compared to 1997-1998. These display a similar structure during 1997 and 2015 in the appearance of two pulses of high sea level and poleward transports (in boreal spring and autumn) that progress from the Equator into both hemispheres. Examination of coherence between both hemispheres is useful in identifying the signals that are not simple responses to local forcing. During 2014, only the first pulse was realized. In the Northern Hemisphere, however, the 2014 signals did progress as far as Baja California and may have contributed to the "warm anomaly" that appeared in summer along that region. An enhanced SSH data set that blends daily altimeter and tide gauge fields (ALT+TG) is used to examine in more detail the progression (or lack thereof) of SSH and alongshore transport signals next to the coast between the Mexican and Canadian borders during these years. Other moderate ENSO signals are also evident in the 1993-2016 period and these are also compared to the more "canonical" 1997 and 2015 events.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

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 studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.206
Teacher spread0.196 · 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.

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
Published2016
Admission routes1
Has abstractyes

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