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Record W1864504472 · doi:10.1029/2004gl019502

Sensitivity of Asian dust storm to natural and anthropogenic factors

2004· article· en· W1864504472 on OpenAlexafffund
S. L. Gong, X. Y. Zhang, Tianliang Zhao, Leonard A. Barrie

Bibliographic record

VenueGeophysical Research Letters · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric aerosols and clouds
Canadian institutionsUniversity of Toronto
FundersCanadian Foundation for Climate and Atmospheric Sciences
KeywordsDesertificationPrecipitationStormDust stormEnvironmental scienceNatural (archaeology)ChinaVegetation (pathology)ChinePhysical geographySpring (device)Asian DustClimatologyAtmospheric sciencesGeologyGeographyMeteorologyAerosolOceanographyEcology

Abstract

fetched live from OpenAlex

The impacts of natural and anthropogenic factors on sand and dust storm distribution of 2001 in East Asia have been investigated by using the most up‐to‐date desertification map in China and desert reversal scenarios in natural precipitation zones. Here we show that although desertification in China has only increased total area of desert by ∼2%–7% since 1950s [ Zhong , 1999 ; Zhu and Zhu , 1999 ], it has generated disproportionably large areas with dust storm production potentials. Depending on the degree of desertification, newly formed deserts covered 15% to 19% of the original desert areas and would generate more dust storm, ranging from 10% to 40%, under the same meteorological conditions for spring 2001. Among the natural factors, the restoration of vegetation covers in the Chinese deserts within the 200 mm/y and 400 mm/y precipitation zones was found to decrease the surface mass concentrations by 10–50 % in most regions. It is also found that the contributions of surface concentrations from non‐Chinese deserts account for up to 60% in Northeast China and up to 50% in Korea and Japan.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.018
GPT teacher head0.290
Teacher spread0.272 · 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

Citations52
Published2004
Admission routes2
Has abstractyes

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