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Record W2528849289

Heatwave events in Thessaloniki: Past and Future

2006· article· en· W2528849289 on OpenAlexaboutno aff
Nikoletta Pakalidou, T. Karacostas

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental scienceClimatologyRelative humidityHeat indexIndex (typography)Air temperatureMeteorologyAtmospheric sciencesGeographyGeology
DOInot available

Abstract

fetched live from OpenAlex

An attempt is made to study the frequency distribution characteristics of the heatwave events in Thessaloniki, for the past period of 1960-2003. Those characteristics of the heatwaves are then projected for three future periods up to 2100. The observed hourly values of air temperature and relative humidity obtained at the Meteorological Station of the Department of Meteorology and Climatology of the Aristotle University of Thessaloniki are used, in order to construct the baseline characteristics. The hourly bioclimatic index Summer Simmer Index (SSI) is calculated and it is modified to the SSI΄, which is proven more applicable for the Thessaloniki area. Annual, monthly and hourly distributions of this index are constructed, and maximum frequencies of heatwave events are detected, during the past period, 1960-2003. Moreover, the average values of air temperature and relative humidity, for the month-period May to September, are used for the corresponding three future periods: 2020-2035, 2050-2065 and 2070-2100. These data information are derived through the Canadian model of general circulation of atmosphere, CGCModel2, and incorporate the emissions scenarios SRES A2 and SRES B2. In a similar way, the modified bioclimatic index SSI΄ is calculated, for each emission scenarios, during the future periods. The characteristics of the relative frequency distributions of the SSI΄ index, among the three future scenarios periods (2020-2035, 2050-2065 and 2070-2100) and against the baseline observations (1960-2003), are compared, for each category of SSI΄.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.040
GPT teacher head0.253
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2006
Admission routes1
Has abstractyes

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