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Record W1535226926 · doi:10.1029/2004wr003090

Relationships between spectral optical properties and optically active substances in a clear oligotrophic lake

2004· article· en· W1535226926 on OpenAlexaff
Claude Belzile, Warwick F. Vincent, Clive Howard‐Williams, Ian Hawes, Mark R. James, Michio Kumagai, Collin S. Roesler

Bibliographic record

VenueWater Resources Research · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsColored dissolved organic matterDownwellingPhytoplanktonEnvironmental scienceEutrophicationRadiative transferAtmospheric sciencesAbsorption (acoustics)Dissolved organic carbonAttenuation coefficientChlorophyll aIrradianceOceanographyGeologyChemistryPhysicsNutrientOptics

Abstract

fetched live from OpenAlex

The absorption and scattering coefficients in the euphotic zone of oligotrophic Lake Taupo, New Zealand, were measured at 19 stations across the 620 km 2 lake in late fall during the period of mixed layer deepening and development of the annual phytoplankton maximum. These coefficients were subsequently related to the water content of colored dissolved organic matter (CDOM), phytoplankton, and nonalgal particles via measurements of the absorption spectra of these optically active substances and of chlorophyll a and suspended particle concentrations. Measurements of the spectral diffuse attenuation coefficient for downwelling irradiance ( K d ) and of reflectance ( L u / E d ) revealed that the clear blue waters of Lake Taupo had a minimum K d of 0.09 m −1 at 500 nm and maximum reflectance at 490 nm. The measured K d and L u / E d were well described by modeled spectra that were computed using a radiative transfer model (Hydrolight) assuming relatively low values for the backscattering ratio (0.008–0.014). The relationships established here between the optical properties and optically active substances were consistent with previous observations in case 2 marine waters, and they will provide a basis for prediction of eutrophication, climate, and other environmental effects on the blueness and transparency of large oligotrophic lakes.

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)0.001
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 score0.042
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.087
GPT teacher head0.261
Teacher spread0.174 · 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

Citations39
Published2004
Admission routes1
Has abstractyes

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