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Record W2322694810 · doi:10.5194/acpd-12-11567-2012

Height increase of the melting level stability anomaly in the tropics

2012· article· en· W2322694810 on OpenAlexafffund
Ian Folkins

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaOffice of ScienceU.S. Department of Energy
KeywordsTroposphereAnomaly (physics)ClimatologyAtmospheric sciencesRadiosondeMesoscale meteorologyGeologyPrecipitationLapse rateTropicsEnvironmental scienceMeteorologyGeography

Abstract

fetched live from OpenAlex

Abstract. In actively convecting regions of the tropics, the lower troposphere is significantly less stable than predicted by a moist pseudoadiabat. This anomalous variation in lapse rate occurs between the boundary layer inversion (~2 km) and the melting level (~5 km), and has been attributed to mesoscale downdrafts that develop below precipitating stratiform anvil clouds. We use an 11 yr record (1998–2008) from five Western Tropical Pacific radiosonde stations in the Stratospheric Processes and their Role in Climate (SPARC) archive, to determine the response of this stability anomaly to changes in monthly mean surface temperature. We find that the stability anomaly shifts upward when the surface temperature increases, by an amount roughly equal to the upward displacement of the melting level. It is likely that this change in lower tropospheric stability is associated with increases in the height of cumulus congestus clouds, in the vertical distance through which stratiform precipitation falls through cloud free air, and in the vertical wavelength of the stratiform heating mode.

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)0.001
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.067
GPT teacher head0.248
Teacher spread0.181 · 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

Citations2
Published2012
Admission routes2
Has abstractyes

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