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Record W3036423226 · doi:10.1080/07055900.2020.1751048

Effect of Upper Tropospheric Vertical Thermal Contrast Over the Mediterranean Region on Convection over the Western Tibetan Plateau during ENSO Years

2020· article· en· W3036423226 on OpenAlexvenueno aff
B. H. Vaid, X. San Liang

Bibliographic record

VenueATMOSPHERE-OCEAN · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
FundersNational Natural Science Foundation of China
KeywordsClimatologyTropospherePlateau (mathematics)Atmospheric sciencesAtmospheric circulationEnvironmental scienceAnticycloneWind shearConvectionMediterranean climateGeologyWind speedGeographyMeteorology

Abstract

fetched live from OpenAlex

Using the National Centers for Environmental Prediction–Department of Energy Atmospheric Model Intercomparison Project 2 daily reanalysis datasets, the present study reveals that an upper tropospheric vertical thermal contrast (VTC) exists between pressure levels at 100 and 250 hPa over the Mediterranean region (MR) during the midsummer monsoon. An increase and decrease in the tropospheric temperature (TT) at the 100 and 250 hPa levels respectively, are found to be centred over the MR during El Niño years. The former is characterized by an anticyclonic circulation in the wind shear and the latter by a cyclonic circulation. The opposite pattern is exhibited during La Niña years. It is shown that the MR VTC remotely affects convection over the western Tibetan Plateau (WTP) by inducing favourable temperature, circulation patterns, and ascending (descending) winds on the upper vertical levels of the WTP during El Niño (La Niña) years. This effect has been further substantiated by a careful causality analysis with a new causal inference technique, which identifies a dominant causality from the MR VTC to the WTP longwave fluxes through the top of the atmosphere.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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.

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

Citations8
Published2020
Admission routes1
Has abstractyes

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