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Record W64926682 · doi:10.14264/329665

The Next Glacial Period: Abrupt Climate Change and Australia

2006· dissertation· en· W64926682 on OpenAlexaboutno aff
Anna-Lousie Gabbedy

Bibliographic record

VenueThe University of Queensland · 2006
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsAbrupt climate changeClimate changeGlacierYounger DryasClimatologyPrecipitationGlacial periodEnvironmental scienceIce coreGeographyGlobal warmingEffects of global warmingPhysical geographyOceanographyGeologyMeteorology

Abstract

fetched live from OpenAlex

There is a distinct possibility that the next glacial period could be brought on by abruptnclimate change. This report was constructed to better understand abrupt climate changenand its effect on Australia.n n Abrupt climate change was defined as a rapid and unexpected shift in the climaticnconditions that causes human and natural systems difficulty in adapting to it. Previousnoccurrences of abrupt climate change include the Younger Dryas and the 8k Event.nRecords show that both these events constituted a sudden transfer from one climaticnstate to another in a matter of years, not millennia as for conventional climate change.n n Little is still known concerning the causes of abrupt climate change but evidencensuggested that large increases in the amount of freshwater added to the northernnAtlantic Ocean can prevent the circulation of heat from the equators to the poles. It wasnalso suggested that global warming could cause the next abrupt climate change as thenmelting Arctic ice shelfs may flood the Atlantic with enough fresh water to shut down thenocean circulation.n n Australiars varying climate was reviewed and predictions were made describing the likelynclimatic conditions at the onset of abrupt cooling. It is expected the average temperaturenin Australia will drop four to ten degrees below present values and that precipitation willnbe half that it is today. Glaciers are likely to form on the Snowy Mountains andnTasmanian plateau and, depending on the fall in sea levels, Papua New Guinea andnTasmania may join the Australian mainland. n The decreased precipitation levels will require Australia to produce water from eitherndesalination or water recycling methods. Desalination is the process of removing saltnfrom saline waters such as sea water and can require between 1 n 25 kWh/kL dependingnon the water and process being used. Water recycling reclaims purified water fromnsewage or wastewater through the use of many different processes. The energy requirednto treat the feedwater is dependent on the level of sanitation required; potable drinkingnwater will usually need 0.8 kWh/kL.n n It was found the drought conditions would also initiate the need for irrigation ofnagricultural lands; an extra 130 000 GL of water each year. It was calculated thatnapproximately 40 large nuclear reactors would be necessary to provide enough energynfor the required water production. However, Australian resources of uranium would onlynlast 80 years. Further studies into renewable energy should be conducted to ensurenAustraliars survival in glacial times.n n Canada, northern USA, Russia and Northern Europe are likely to be enveloped bynglaciers, covering the land in ice hundreds of metres thick and immigration from thenfrozen Northern Hemisphere would increasingly strain Australiars failing resources. It isnlikely immigration and population control measures would need to be implemented fornthe next glacial period.n n There are many aspects of abrupt climate change that require further investigationnbefore precise predictions can be made about the future. At present, an abrupt climatenchange would be catastrophic to modern civilisation and it is recommended that studiesnbe undertaken to ensure humanityrs continued existence through the next glacial period.n

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.044
GPT teacher head0.249
Teacher spread0.206 · 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 designSimulation or modeling
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

Citations0
Published2006
Admission routes1
Has abstractyes

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