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Record W2053066861 · doi:10.1029/2003gl018853

Trends in atmospheric haze induced by peat fires in Sumatra Island, Indonesia and El Niño phenomenon from 1973 to 2003

2004· article· en· W2053066861 on OpenAlexaff
Yonghe Wang, Robert D. Field, Orbita Roswintiarti

Bibliographic record

VenueGeophysical Research Letters · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsCanadian Forest Service
Fundersnot available
KeywordsHazeVisibilityPeatEl Niño Southern OscillationEnvironmental scienceClimatologyAir quality indexSouthern oscillationAtmospheric sciencesBiomass burningMeteorologyGeologyGeographyAerosol

Abstract

fetched live from OpenAlex

Visibility was used as a long‐term indicator of atmospheric haze caused by peat fires on the peat land area of the island of Sumatra, Indonesia. Visibility and the anomalies of sea surface temperature in the Niño 3.4 region from 1973 to 2003 were analyzed. A significant linear relationship existed between the visibility and time, and the two signals shared two periodic components of 45 months (3.7 yr) and 61 months (5.1 yr), corresponding with the El Niño‐Southern Oscillation (ENSO) variability. Visibility decrease occurred about 3 months earlier than peak ENSO, suggesting fires initiated during the ENSO onset stage. The study demonstrated the connection of inter‐annual climate variability, biomass burning, and air quality in the region. The study could facilitate the prediction of change in fire occurrence and air quality from ENSO monitoring data.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

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

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 head0.013
GPT teacher head0.271
Teacher spread0.258 · 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 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

Citations45
Published2004
Admission routes1
Has abstractyes

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Same venueGeophysical Research LettersSame topicFire effects on ecosystemsFrench-language works237,207