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Features of tropical cyclone‐induced flood peaks on Grande Terre, New Caledonia

2008· article· en· W1975231166 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWater and Environment Journal · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsTropical cycloneOverbankTropical cyclone rainfall forecastingFlood mythFlooding (psychology)ClimatologyHydrographHydrology (agriculture)Cyclone (programming language)Environmental scienceGeologyGeographyFluvialStructural basinGeomorphology

Abstract

fetched live from OpenAlex

Abstract New Caledonia, an archipelago of islands in the South Pacific, is periodically affected in the wet season by tropical cyclones that can deliver intense rainfall and cause severe river flooding. On the mountainous island of Grande Terre, the majority of the largest historical flows in the Tontouta River were caused by tropical cyclones and 75% of cyclone‐induced floods were overbank events. Discharge data for the Tontouta River over the period 1969–2003 were used to construct partial duration series (PDS) of daily mean and instantaneous flows. The log Pearson Type III distribution provided a good fit to the PDS. Instantaneous flows are much higher than daily flows, reflecting the flashiness of tropical cyclone hydrographs. This highlights the need to use instantaneous flow data, where available, to investigate flood hazards in steep tropical basins impacted by tropical cyclones.

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.

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 score0.096
Threshold uncertainty score0.999

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)0.0020.000

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 head0.020
GPT teacher head0.206
Teacher spread0.186 · 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