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Record W2117866003 · doi:10.1260/0958305041494684

Are Climate Model Projections Reliable Enough for Climate Policy?

2004· article· en· W2117866003 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnergy & Environment · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
FundersUniversity of Guelph
KeywordsClimatologyClimate changeClimate modelEnvironmental sciencePrecipitationGlobal warmingAbrupt climate changeGreenhouse gasExtreme weatherClimate extremesMonsoonGeographyEffects of global warmingMeteorologyGeology

Abstract

fetched live from OpenAlex

The ongoing debate on the global warming and climate change highlights the possibility of increased incidences of extreme weather events world-wide, as the earth’s mean temperature is expected to rise steadily in the next 100 years according to most climate model projections. The recent IPCC (Intergovernmental Panel on Climate Change) document (IPCC, 2001) categorically states: The globally average surface temperature is projected to increase by 1.4C to 5.8C over the period 1990 to 2100. The projected warming is much larger than the observed changes during the twentieth century and is very likely to be without precedent during at least the last 10,000 years. The Climate Change document also summarizes various extreme weather events and their observed and projected changes based on model simulations. Among the extreme weather events summarized by IPCC are: Higher maximum temperature and more hot days over nearly all land areas; increase of heat index over land areas; more intense precipitation events and increased summer continental drying and associated risk of drought. Besides these weather events, the Climate change document also makes projections of major climatic events and states: El Nino events may show small increase in amplitude but its impact in terms of droughts and floods will increase. The warming associated with increasing greenhouse gas concentration will cause an increase of Asian summer monsoon variability. A number of recent papers appearing in peer-reviewed literature have questioned many of the IPCC projections on future warming of the earth’s surface and associated increase in extreme weather events. It is important to briefly review these recent studies and make an assessment of present status of the global warming science. Such an assessment is essential for developing a Climate Policy consistent with the emerging view of the state of science. In this viewpoint, some of the climate model projections are briefly assessed in the light of recent studies.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
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 studies0.0010.000
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 head0.021
GPT teacher head0.239
Teacher spread0.218 · 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