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Record W6917599385 · doi:10.57757/iugg23-2946

What drives the trend of the QBO wind amplitude?

2023· article· en· W6917599385 on OpenAlexaff

Bibliographic record

VenuePublication Database GFZ (GFZ German Research Centre for Geosciences) · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsStratosphereQuasi-biennial oscillationRadiosondeAmplitudeClimate systemOscillation (cell signaling)

Abstract

fetched live from OpenAlex

<!--!introduction!--> The Quasi-Biennial Oscillation (QBO) is the dominant mode of variability in the tropical lower stratosphere and is known to impact the Earth system via stratosphere-troposphere coupling. Past studies have suggested a weakening amplitude of the zonal wind QBO in the tropical lower stratosphere possibly related to increasing tropical upwelling. Here we use radiosonde observations and reanalyses to revisit the mystery of the QBO wind amplitude changes. In the lower stratosphere decadal variations dominate over a long-term climate change related trend. We show that the observed variations in the QBO amplitude over recent decades can be explained in large parts by the seasonal alignment of the QBO phase and variations in stratospheric circulation anomalies. In consequence wind tendencies at the onset of the QBO phase can be used to reconstruct the amplitude occurring months later. Furthermore, a newly identified connection between the QBO amplitude and the long-term change in water vapor is presented. Based on the observed response of the QBO amplitude to the different dynamical factors, we discuss implications for future QBO trends in a changing climate.

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)0.002
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 score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.053
GPT teacher head0.333
Teacher spread0.280 · 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
Published2023
Admission routes1
Has abstractyes

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