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Record W2887349742 · doi:10.1002/joc.5743

Local winds of Balkan Peninsula

2018· article· en· W2887349742 on OpenAlexaff
Djordje Romanić

Bibliographic record

VenueInternational Journal of Climatology · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMeteorological Phenomena and Simulations
Canadian institutionsWind Energy Institute of CanadaWestern University
Fundersnot available
KeywordsPeninsulaPrevailing windsSea breezeClimatologyGlobal wind patternsBlack seaBalkan peninsulaMediterranean climateMediterranean seaGeologyGeographyOceanography

Abstract

fetched live from OpenAlex

The Mediterranean is characterized with a large number of local winds. One region in the Mediterranean—the Balkan Peninsula or simply the Balkans—is particularly rich with local winds of different types including downslope and upslope winds, gap flows, and thermally induced breezes from land to sea and vice versa. This study presents the first comprehensive review of all currently known local winds in the Balkans, with coastal winds reviewed separately from inland winds. Besides providing the main climatological and dynamics characteristics of these winds, this paper also hints on the existence of various connections between several local winds that have not been reported previously. In total, this article lists 27 different local winds above the Balkans with 17 and 10 being coastal and inland winds, respectively. By far, the most researched local wind in the Balkans has been the Adriatic bora that blows along the Croatian coast. Interestingly, there are more papers investigating bora than the number of studies on all other winds in the Balkans. Local winds over the Adriatic have been explored more than the winds above the Aegean, and these, in turn, were investigated more often than the winds that blow over the Ionian and Black Seas. The most researched inland wind is the koshava wind that blows over the northern and central Serbia. Typical synoptic situations for most local winds are also provided with the note that the synoptic precursors of few local winds have not previously been documented. Lastly, this article discusses the prospects for further research in this field with the emphasis on the investigation of potential relationships between different local winds in this region.

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 score0.059
Threshold uncertainty score0.994

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)0.0070.000

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 head0.022
GPT teacher head0.282
Teacher spread0.259 · 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

Citations22
Published2018
Admission routes1
Has abstractyes

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