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Record W2013737680 · doi:10.1029/2005gl025065

Satellite observation of chlorophyll and nutrients increase induced by Typhoon Megi in the Japan/East Sea

2006· article· en· W2013737680 on OpenAlex
SeungHyun Son, Trevor Platt, Heather A. Bouman, Dong‐Kyu Lee, Shubha Sathyendranath

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueGeophysical Research Letters · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
FundersCanadian Space AgencyGoddard Space Flight CenterNational Aeronautics and Space Administration
KeywordsTyphoonEnvironmental scienceUpwellingChlorophyll aNutrientSea surface temperaturePhytoplanktonOceanographySatelliteClimatologyGeologyChemistry

Abstract

fetched live from OpenAlex

Remotely‐sensed sea surface temperature (SST) and chlorophyll data were used to assess the biological response to the Typhoon Megi in the Japan/East Sea (JES). Mean SST from in situ measurements and satellite data decreased by about 2–4°C in the JES after Typhoon Megi. Mean concentration of MODIS chlorophyll in the post–typhoon period increased by about 70% along the typhoon passage. The cold, nutrient‐rich waters entrained into the surface layer lead to an enhancement of phytoplankton growth. Typhoon‐induced variability of nitrate, phosphate, and silicate at the sea surface of the JES were derived from the MODIS SST using a nutrient‐temperature relationship based on in situ measurements. After the passage of the typhoon, there were increases in NO 3 , PO 4 , and SiO 2 by about 90%, 40%, and 35%, respectively. The nutrient flux brought into the surface water by the storm‐induced mixing has the potential to support new production.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.930

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.035
GPT teacher head0.266
Teacher spread0.231 · 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