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Record W2013798846 · doi:10.1029/2007gl031958

Solar modulation of the Northern Hemisphere winter trends and its implications with increasing CO<sub>2</sub>

2008· article· en· W2013798846 on OpenAlexaff
Kunihiko Kodera, M. Hori, Seiji Yukimoto, Michael Sigmond

Bibliographic record

VenueGeophysical Research Letters · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsUniversity of VictoriaUniversity of Toronto
FundersJapan Society for the Promotion of ScienceMinisterio de Educación, Cultura y DeporteNational Oceanic and Atmospheric AdministrationMinistry of Education, Culture, Sports, Science and Technology
KeywordsTropospherePolar vortexNorthern HemisphereClimatologyArctic oscillationAtmospheric sciencesEnvironmental scienceNorth Atlantic oscillationStratosphereAtmosphere (unit)Sudden stratospheric warmingPolarArcticSouthern HemisphereGeologyOceanographyMeteorologyGeographyPhysics

Abstract

fetched live from OpenAlex

The origin of the recent trends in the Northern Hemisphere (NH) winter circulation is investigated. Linear trends are calculated separately for low solar (LS) and high solar (HS) winters. Trends during HS exhibit a North Atlantic Oscillation (NAO)/Arctic Oscillation (AO)‐like pattern that is related to a stronger stratospheric polar vortex. Whereas during LS, decreasing trends of sea‐level pressure appear over the northeastern Pacific in association with warming trends in the tropical troposphere which lead to a strengthening of the subtropical jet and a weakening of the polar night jet. These two trends compare well with those found in previous numerical model simulations where the CO2 was doubled in either the troposphere or the middle atmosphere. This suggests that the stratospheric cooling effect due to increased CO2 manifests in the troposphere through nonlinear interaction with solar cycle.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.243
Teacher spread0.228 · 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 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

Citations20
Published2008
Admission routes1
Has abstractyes

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