MétaCan
Menu
Back to cohort

Trend in Northern Hemisphere Winter Atmospheric Circulation during the Last Half of the Twentieth Century

2004· article· en· W2061683642 on OpenAlexaff
Jian Lu, Richard J. Greatbatch, K. Andrew Peterson

Bibliographic record

VenueJournal of Climate · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsDalhousie University
Fundersnot available
KeywordsClimatologyExtratropical cycloneForcing (mathematics)Northern HemisphereAtmospheric circulationGeologyStorm trackStormOceanographyTropical cyclone

Abstract

fetched live from OpenAlex

During the last half century, the trend in the Northern Hemisphere tropospheric circulation has been associated with a deepening of both the Aleutian and Icelandic lows, a pattern akin to the “Cold Ocean Warm Land” (COWL) pattern. A simplified dynamical model is used to show that the observed simultaneous deepening trend in both the Aleutian and Icelandic lows can be largely explained as a hemispheric planetary wave response to tropical diabatic forcing in the Indo–Pacific region. In the model, the extratropical storm tracks play a role in modulating the wave train, tending to enhance (weaken) the anomalous Icelandic (Aleutian) low in the North Atlantic (North Pacific) sector. The model results also suggest two ways in which the circulation trend over the North Atlantic sector could have been influenced by tropical forcing: one a direct, linear planetary wave response from the eastern tropical Pacific and the other an indirect response of the North Atlantic storm track to tropical forcing over the western Indo–Pacific region. The possible role of tropical SST warming and anthropogenic forcing is also discussed.

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 score0.216
Threshold uncertainty score0.628

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 communication0.0000.000
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 head0.007
GPT teacher head0.214
Teacher spread0.206 · 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

Citations58
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueJournal of ClimateSame topicClimate variability and modelsFrench-language works237,207