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Record W2767820380 · doi:10.1071/hr17016

CSIRO Non-carbon Dioxide Greenhouse Gas Research. Part 1: 1975–90

2017· article· en· W2767820380 on OpenAlexaboutno aff
Paul J. Fraser, G. I. Pearman, Nada Derek

Bibliographic record

VenueHistorical Records of Australian Science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
FundersCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorMonash UniversityCommonwealth Scientific and Industrial Research Organisation
KeywordsGreenhouse gasOzone layerEnvironmental scienceOzone depletionUnited Nations Framework Convention on Climate ChangeMontreal ProtocolClimate changeStratosphereGlobal warmingAtmospheric sciencesKyoto Protocol

Abstract

fetched live from OpenAlex

There are a number atmospheric gases, in addition to carbon dioxide (CO2), that affect the absorption and emission of infrared radiation throughout the atmosphere, the so-called ‘non-CO2 greenhouse gases', and they have a significant impact on climate. In addition, some of these non-CO2 greenhouse gases contain chlorine and/or bromine, and contribute to halogen-catalysed stratospheric ozone depletion. In the mid 1970s, CSIRO at Aspendale became the first southern hemisphere laboratory to initiate research into the atmospheric abundance, trends, sources and sinks of non-CO2 greenhouse gases, and today (2017) is currently observing and modelling the past and present biogeochemical cycling of over eighty of these species, arguably the most comprehensive program of its type globally. The resultant CSIRO data are used to derive global and regional emissions of non-CO2 greenhouse gases and their impact on climate and stratospheric ozone via resultant changes to the planetary radiative budget and the abundance of ‘equivalent chlorine' (weighted sum of chlorine and bromine) in the stratosphere. These data and their impacts are reported nationally to relevant Commonwealth and State Departments—environment, energy, industry, agriculture—and to relevant Australian industries—refrigeration, air-conditioning, aluminium production. They are reported internationally to United Nations agencies responsible for implementing the Vienna Convention for the Protection of the Ozone Layer (1985) and the Framework Convention on Climate Change (1992), who periodically assess the science of climate change and ozone depletion. As the world strives to reduce its greenhouse gas emissions through national, policy-driven, initiatives framed to meet agreed obligations under these international agreements, atmospheric measurement programs, such as those operated by the CSIRO and the Bureau of Meteorology in Australia, are critical in independently verifying the success or otherwise of such endeavours. This paper describes the initial fifteen years (1975–90) of activities in CSIRO that set up the framework for the current, globally significant, CSIRO non-CO2 greenhouse gas research program.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.295
Threshold uncertainty score0.586

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.013
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0760.064

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 head0.054
GPT teacher head0.304
Teacher spread0.250 · 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 designNot applicable
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

Citations14
Published2017
Admission routes1
Has abstractyes

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