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Record W2037673135 · doi:10.3137/ao.410202

Climatology and trends of surface UV radiation: Survey article

2003· article· en· W2037673135 on OpenAlexaffvenueabout
D. W. Tarasick, Vitali Fioletov, D. I. Wardle, J. B. Kerr, L. J. B. McArthur, C. A. McLinden

Bibliographic record

VenueATMOSPHERE-OCEAN · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsIrradianceAlbedo (alchemy)Environmental scienceAtmospheric sciencesTerm (time)Radiative transferClimatologySolar irradianceUltravioletMeteorologyGeographyOpticsPhysicsGeology

Abstract

fetched live from OpenAlex

An improved understanding of the global ultraviolet (UV) climate has recently become of great interest. A number of stations are now making regular measurements of spectrally‐resolved UV‐B irradiance. Despite the lack of long‐term records, it is possible to describe many of the short‐term characteristics, dependencies and climatology of surface UV‐B irradiance. This article describes the current state of UV‐B measurements, and a climatology of surface UV‐B irradiance with particular focus on Canada. The dependence of UV irradiance on ozone and other climate variables is discussed in detail, with reference to observations. In addition, comparison of radiative transfer models with recent measurements indicates that it is possible to infer surface UV‐B irradiance from older records of total ozone and ancillary measurements (spectrally‐integrated irradiance, aerosol optical depth and surface albedo) permitting the derivation of longer‐term trends.

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)0.000
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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.013
GPT teacher head0.224
Teacher spread0.211 · 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

Citations37
Published2003
Admission routes3
Has abstractyes

Explore more

Same venueATMOSPHERE-OCEANSame topicAtmospheric Ozone and ClimateFrench-language works237,207