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Record W2957041585

Historic and Future Extreme Weather Events over Southern Baffin Island

2012· article· en· W2957041585 on OpenAlexaboutno aff
Danielle Desjardins

Bibliographic record

VenueMspace (University of Manitoba) · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric Administration
KeywordsExtreme weatherClimatologyOceanographyGeographyWeather patternsMeteorologyClimate changeGeology
DOInot available

Abstract

fetched live from OpenAlex

Historic and future extreme precipitation and wind events over southern Baffin Island, more specifically Iqaluit, Kimmirut, Pangnirtung and Cape Dorset are examined. Two sets of modeled re-analysis data, the Canadian Regional Climate Model (CRCM) forced with European Centre for Medium-Range Weather Forecasts Regional Analysis 40 (ERA40) and the other the North American Regional Re-analysis (NARR) dataset were used to characterize the atmosphere during historic events. Two sets of CRCM data forced with Canadian Global Climate Model (CGCM) data, one from 1961-1990 and the other from 2041-2070, are compared to assess the changes in extreme events in the future. Extreme events were defined by daily precipitation and sustained wind thresholds. Based on the CRCM future projection, events were inferred to increase in intensity for all communities and increase in frequency for 3 of the 4 communities. A shift in the Arctic storm season was also inferred in the future projection.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.184
Teacher spread0.166 · 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 teacher head, not a consensus.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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