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Global Warming: Armageddon or Bust? Some Scientists See the Possibility of Global Warming as the Precursor to a Global Armageddon, to Others It Is Merely Hype; the Truth Lies Somewhere in Between

2002· article· en· W278230586 sur OpenAlexaboutno aff
Ján Veizer

Notice bibliographique

RevueForum for applied research and public policy · 2002
Typearticle
Langueen
DomaineEnergy
ThématiqueGlobal Energy and Sustainability Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGlobal warmingGreenhouse gasClimate changeGlobal temperatureKyoto ProtocolRunaway climate changeNatural resource economicsClimate commitmentClimate modelDeforestation (computer science)ClimatologyEnvironmental scienceEnvironmental ethicsPolitical scienceEconomicsEffects of global warmingEcologyComputer scienceGeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Carbon dioxide, generally believed to be the most important greenhouse gas and climate modifier, is today the centerpiece of a heated political and scientific debate. In its most polarized form, one side maintains that is the principal driver of climate, and the sequence of events is higher equals global warming equals climate change equals disaster. Based on this scenario, the burning of fossil fuels and deforestation will inexorably lead to global warming, with the latest Intergovernmental Panel on Climate Change models projecting an average 1.5 to 5.5 degree Celsius temperature rise by the year 2100. Environmental Armageddon is an inevitable consequence of the above equation. The opposing view claims that the role of anthropogenic on climate has not been proved, and that there is, therefore, no need for the large expenditures necessitated by the emission-curtailment quotas, such as those mandated by the Kyoto protocol. As is usually the case with contenuous matters, the reality is likely in between, and the polarization arises mostly from two issues: (1) poor understanding of past variations in the carbon cycle and climate that must be taken into account as a baseline for any superimposed human impact, and (2) the uncertainties inherent in the climate models. This essay will deal mostly with the first subject, the carbon cycle, from the perspective of a geologist, contemplating it at time scales ranging from billions of years to the human life span. This perspective is essential, because events on progressively shorter time scales are embedded in, and constrained by, the evolution of the background on longer time scales. In terms of the second issue, the uncertainties inherent in the climate models, the admirable progress achieved by climate modeling must be acknowledged, but many serious pitfalls, such as the role of clouds, or the couplings to the oceanic and particularly the terrestrial biosphere (land plants), remain to be resolved. Considering that theoretical cooling by the clouds alone may potentially exceed, by up to 7.5 times, (1) the warming impact of the greenhouse gases, such concerns should be given due consideration and resolved prior to any definitive claims based on the climate scenarios. On the issue of modeling, I will restrict myself solely to the role of land plants in the carbon cycle because of their potential impact on the C[O.sub.2] sinks debate, which was the cause of failure of the Hague summit and a bone of contention during the Bonn meeting. Life, Water and the Carbon Cycle The story of the carbon cycle is essentially the story of life. Carbon and water are the fundamental building blocks of living things and the propagation of life is accomplished via continuous exchange of these two constituents with the atmosphere and hydrosphere (ocean and water bodies on land), such interactions being termed the water and the carbon cycle. While other cycles, such as those of nitrogen and phosphorus, are also involved, they are of lesser importance for the climate issues discussed here. In order to understand the role of atmosphere, water, and life for climate evolution in the geologic past, it is essential to study the ancient examples. Yet, we have no unequivocal samples of ancient waters, and the oldest samples of the ancient atmospheres are only about 420,000-year-old bubbles of air that were frozen into Antarctic ice at the time of its formation. The situation is somewhat better with the remnants of life, since mineralized shells go back to about 545 million years, and the impressions of living things, algae and bacteria, have been found in western Australia in rocks as old as 3.5 billion years. (2) Soft body tissues, altered by temperature and pressure, referred to as kerogen, have been found in still older rocks approaching 4 billion years. This is remarkable, because the oldest rocks ever recovered, found near Yellowknife in northwestern Canada, (3) are of about the same age. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,391
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,006
Études des sciences et des technologies0,0020,002
Communication savante0,0010,000
Science ouverte0,0030,002
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,067
Tête enseignante GPT0,378
Écart entre enseignants0,311 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2002
Routes d'admission1
Résumé présentoui

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