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Record W2095301098 · doi:10.1029/2001jd000655

Geostrophic wind fields in the stratosphere and mesosphere from satellite data

2002· article· en· W2095301098 on OpenAlexaff
Jens Oberheide, G. A. Lehmacher, D. Offermann, K. U. Grossmann, A. H. Manson, C. E. Meek, F. J. Schmidlin, W. Singer, Peter Hoffmann, R. A. Vincent

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Saskatchewan
FundersNational Aeronautics and Space Administration
KeywordsMesopauseGeostrophic windMesosphereStratosphereAtmosphere (unit)Atmospheric sciencesStratopauseEnvironmental scienceZonal and meridionalThermosphereSatelliteGeostrophic currentAltitude (triangle)MeteorologyGeologyClimatologyPhysicsIonosphereGeophysicsAstronomy

Abstract

fetched live from OpenAlex

Daily maps of horizontally resolved zonal and meridional geostrophic wind fields in the altitude range of 20–90 km were obtained from the Cryogenic Infrared Spectrometers and Telescopes for the Atmosphere (CRISTA) experiment during November 1994 and August 1997. Results are compared with zonal mean zonal winds from climatological sources and with assimilated data from standard analyses. Correlative data from ground‐based and balloon‐ and rocket‐borne measurements are used to validate the CRISTA winds. The comparisons show that geostrophic wind fields from high spatial resolution satellite‐borne temperature measurements are a good approximation for the winds in the middle atmosphere up to mesopause heights. Therefore, they may be used as input for further modeling efforts particularly in the mesosphere, where no wind data from standard analyses are available.

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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.076
GPT teacher head0.304
Teacher spread0.229 · 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

Citations48
Published2002
Admission routes1
Has abstractyes

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