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Record W2027419649 · doi:10.1029/2003gl018571

Simulation of extratropical Hurricane Gustav using a coupled atmosphere‐ocean‐sea spray model

2004· article· en· W2027419649 on OpenAlexaff
William Perrie, Xuejuan Ren, Weiqing Zhang, Zhenxia Long

Bibliographic record

VenueGeophysical Research Letters · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsDalhousie UniversityBedford Institute of Oceanography
Fundersnot available
KeywordsExtratropical cycloneEntrainment (biomusicology)Environmental scienceSea sprayStormAtmospheric sciencesSea surface temperatureMesoscale meteorologyClimatologyHeat fluxMass fluxMeteorologyGeologyHeat transferAerosolOceanographyMechanicsPhysics

Abstract

fetched live from OpenAlex

Numerical simulations of extratropical Hurricane Gustav (2002) are performed using the MC2 (Mesoscale Compressible Community) atmospheric model, coupled to the Princeton Ocean Model (POM), and a sea spray parameterization. On one hand, the impact of coupling POM to MC2 generates sea surface temperature (SST) cooling, through entrainment mixing at the bottom of the mixed layer, with the passage of the storm. SST cooling reduces the sea surface heat fluxes compared to uncoupled MC2 simulations, which have time‐invariant SST. Reduced heat fluxes lead to reduced storm intensity. On the other hand, simulation of the heat and mass flux contributions of sea spray enhances sea surface heat fluxes and slightly increases maximum storm intensity compared to coupled MC2‐POM simulations without spray.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.057
GPT teacher head0.322
Teacher spread0.265 · 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

Citations33
Published2004
Admission routes1
Has abstractyes

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