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Record W2050640567 · doi:10.1029/2008jd011472

Stratospheric gravity wave characteristics and seasonal variations observed by lidar at the South Pole and Rothera, Antarctica

2009· article· en· W2050640567 on OpenAlexaff
Chihoko Yamashita, Xinzhao Chu, Hanli Liu, P. J. Espy, G. J. Nott, Wentao Huang

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsDalhousie University
FundersBritish Antarctic SurveyOffice of Naval ResearchNational Science Foundation
KeywordsAtmospheric sciencesGravity waveOrographyLidarEnvironmental scienceSeasonalityStratosphereGravitational waveAltitude (triangle)GeologyPhysicsMeteorologyAstrophysicsRemote sensing

Abstract

fetched live from OpenAlex

We present an observational study of stratospheric gravity wave spectra and seasonal variations of potential energy density at the South Pole (90°S) and Rothera (67.5°S, 68.0°W), Antarctica. The gravity wave spectra are derived from the atmospheric relative density perturbation in the altitude range of 30–45 km measured by an iron Boltzmann lidar. The ground‐relative wave characteristics obtained at each location are comparable, with an annual mean vertical wavelength of ∼4.1 km, vertical phase speed of ∼0.7 m s −1 , and period of ∼104 min. Approximately 44% of the observed waves show an upward phase progression while the rest display a downward phase progression in ground‐based reference for both locations. Gravity wave potential energy density (GW‐E P ) at Rothera is ∼4 times higher than the South Pole in winter but is comparable in summer. Clear seasonal variations of GW‐E P are observed at Rothera with the winter average being 6 times larger than that of summer. The seasonal variations of GW‐E P at the South Pole are significantly smaller than those at Rothera. The absence of seasonal variations in wave sources and critical level filtering at the South Pole is likely to be responsible for the nearly constant GW‐E P . The minimum critical level filtering in winter at Rothera is likely to be a main cause for the winter enhanced GW‐E P , as this would allow more orography‐generated waves to reach the 30 to 45 km range. The stratospheric jet streams may also contribute to the winter enhancement at Rothera.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.660
Threshold uncertainty score0.706

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.273
Teacher spread0.253 · 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

Citations68
Published2009
Admission routes1
Has abstractyes

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