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Record W2068044040 · doi:10.4043/24555-ms

A Case Study of the September 2012 Anchorage Windstorm

2014· article· en· W2068044040 on OpenAlexaff
Andrew Artzer, Fred Schmude, Joe Basciani, D Riestra Díaz

Bibliographic record

VenueOTC Arctic Technology Conference · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsImpact
Fundersnot available
KeywordsDowntownMeteorologyNational weather serviceEnvironmental scienceWind speedWind directionGeographyArchaeology

Abstract

fetched live from OpenAlex

Abstract On 4-5 September 2012, a severe windstorm impacted the city of Anchorage and the surrounding region. Wind gusts up to 63 mph were reported at the Port of Anchorage, which is just northwest of downtown, and gusts up to 88 mph were reported at McHugh Creek, which is just southeast of Anchorage near the Turnagain Arm. This windstorm downed thousands of trees across the Anchorage Bowl, which caused hundreds of downed power lines. At least 50,000 homes and businesses lost power in the greater Anchorage area during the peak of the event, including some office buildings in the Midtown and Downtown areas of Anchorage. Some areas were without power for several days. This paper will further examine the atmospheric aspects that contributed to the significant September 2012 wind event, as a well as a comparison to the four previous significant wind events that have occurred since 1980. Previous significant high wind events, defined as the "Big Four" by the Anchorage National Weather Service office, occurred much later in the season. The four significant high wind events occurred on 01 April 1980, 26–27 November 1985, 10 October 1986, and 01 December 1992. The results of this paper will provide insight into predicting future wind events which will allow residents and businesses to better mitigate their weather risk.

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 score0.044
Threshold uncertainty score0.999

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)0.0020.000

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 head0.023
GPT teacher head0.239
Teacher spread0.216 · 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
Published2014
Admission routes1
Has abstractyes

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