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Record W4412204206 · doi:10.1038/s41612-025-01162-1

Potential tropical cyclone movement and intensification factors imaged by spaceborne SAR

2025· article· en· W4412204206 on OpenAlexfundno aff
Guosheng Zhang, Xiaofeng Li, Pak Wai Chan, Hui Su

Bibliographic record

Venuenpj Climate and Atmospheric Science · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsnot available
FundersOffice of Naval ResearchU.S. Air ForceCanadian Space AgencyNational Oceanic and Atmospheric AdministrationNational Natural Science Foundation of China
KeywordsTropical cycloneRemote sensingMovement (music)ClimatologyMeteorologyEnvironmental scienceTropical cyclone scalesGeologyCyclone (programming language)Computer scienceGeographyPhysics

Abstract

fetched live from OpenAlex

Spaceborne synthetic aperture radar (SAR) is a microwave sensor that captures tropical cyclones (TCs) with high spatial resolution. Based on three idealized TC parametric wind models, we provide a comprehensive perspective on TC studies using SAR observations, including surface winds, morphology, eye shape, asymmetry, inflow angle, steering flow, secondary eyewalls, vortex Rossby waves, spatial rain bands, and other small-scale dynamics, contributing to a better understanding of TC movement and intensification.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.235
Teacher spread0.227 · 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.

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
Published2025
Admission routes1
Has abstractyes

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