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Record W3150558820

Air-sea Interaction of Typhoon Sinlaku (2002) Simulated by the Canadian MC2 Model

2006· article· ja· W3150558820 on OpenAlexaboutno aff
任雪娟, Perrie

Bibliographic record

Venue大气科学进展:英文版 · 2006
Typearticle
Languageja
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsnot available
Fundersnot available
KeywordsMesoscale meteorologyTyphoonMeteorologyClimatologyEnvironmental scienceAtmospheric sciencesGeologyPhysics
DOInot available

Abstract

fetched live from OpenAlex

为在西方的诺思太平洋上的台风 Sinlaku (2002 ) 的模拟的三个实验被使用加拿大的 Mesoscale CompressibleCommunity (MC2 ) 在这研究执行大气的模型。这些模拟的目的是在极端气象条件期间调查 air-seainteraction,并且决定到冷却的海面温度(SST ) 的台风进化的敏感由台风导致了。表面热流动在它的一生上在 slow-movingcyclone 上有实质的影响,这从三个实验被显示出。当在华东沿海的海洋的 SST 在模拟成为 1 个℃冷却器时,到气旋的来自内在的海洋的不太潜伏的热和可感热流动趋于减少台风紧张。气旋被 7 hPa 在它的山峰紧张的时候削弱。冷却的 SST 也由削弱温暖的核心并且弄干眼睛墙在台风的垂直结构上有影响。与更好的水平分辨率( 1/6 )° X ( 1/6 )°,模型生产更高的地面风,并且因此,更多的表面热流动从海洋表面被射出到气旋,在好决定的 MC2 格子与 0.25 ° X 的相对更低的分辨率相比 0.25 ° MC2 格子。

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 score0.960
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.240
Teacher spread0.220 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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