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Record W2746119774

Состояние озонового слоя и погодные аномалии в Северном полушарии зимой 2016–2017 гг.

2017· article· ru· W2746119774 on OpenAlexaboutno aff
Владимир Леонидович Сывороткин

Bibliographic record

VenueПространство и Время · 2017
Typearticle
Languageru
FieldAgricultural and Biological Sciences
TopicFood Industry and Aquatic Biology
Canadian institutionsnot available
Fundersnot available
KeywordsNorthern HemisphereClimatologyAnticycloneAnomaly (physics)Environmental scienceGeographyGeology
DOInot available

Abstract

fetched live from OpenAlex

Understanding the causes of weather anomalies has become important today both scientifically and socially (and even politically). subject matter of my regular column is traditionally the review of weather phenomena, in this case, the weather in winter of 2016–2017, and an explanation of natural mechanisms of these anomalies. Based on ozone layer daily and monthly monitoring and using system, comparative and discourse analysis, I review media reports on main synoptic events and weather anomalies in comparison with total ozone maps over the past winter. Last winter in the Northern Hemisphere confirmed and strengthened the main trends of climate change: there was an increase in the contrast of weather anomalies, replacing each other in space and time. This is a situation when a region with an abnormally cold weather may be adjacent to abnormally warm one, and sometime later the signs nearby weather anomalies may change. winter months of 2016-2017 on the territory of Russia were distinguished by unprecedented frosts, as well as by contrasting alternating weather signs, the location and the time of their appearance convincingly coincide with the anomalies of the total ozone (TO). cause of such anomalies are the abnormal ozone concentrations over different regions, which are caused by the enhancement of hydrogen degassing (negative anomalies of the TO) and the enhancement of geomagnetic activity (positive anomalies of the TO). I draw a conclusion about the scientific inconsistency of modern meteorological explanations for any weather changes by cyclone or anticyclone, which does not explain the fact of the weather anomaly as well, as ozone maps explain it. ozone layer; anomalies of ozone; winter 2016-2017; weather anomalies; climate change; deep degassing; hydrogen A Powerful Snowfall Took Place in Hawaii. RIA Novosti. Information Agency “Russia Today”, 4 Dec. Web. . (In Russian). A Wave of Siberian frosts Covered the Volga Region. GISMETEO News. Scientific-Production Center Map Maker”, LLC, 22 Dec. Web. . (In Russian). Arctic Anticyclone Began Invasion in the South of European GISMETEO News. Scientific-Production Center Map Maker”, LLC, 7 Feb. 2017. Web . (In Russian). Extreme Frosts in the Western Part of GISMETEO News. Scientific-Production Center Map Maker”, LLC, 20 Dec. Web. . (In Russian). Hydrometeorological Center of Russia. The Main and Climatic Features in the Northern Hemisphere in December 2016. Official Website of Hydrometeorological Center of Russia . Hydrometeorological Center of Russia, Dec. Web. . (In Russian). In Yugra, Frosts, Which Cannot Be Measured, Hit. REN TV News. Media Holding National Media Group, 21 Dec. Web. . (In Russian). One Day Minus, Another Day Plus: Atlantic Cyclones Rocked the in Moscow. GISMETEO News. Scientific-Production Center Map Maker”, LLC, 24 Feb. 2017. Web. . (In Russian). Results of New Year Anomalies in Moscow. GISMETEO News. Scientific-Production Center Map Maker”, LLC, 12 Jan. 2017. Web. . (In Russian). Select Ozone Maps. Ozone and Ultraviolet Research and Monitoring. Environment Canada's World Wide Web Site. Green Lane TM . Web. . Strong Frosts Disrupted Public Transport in Yekaterinburg. GISMETEO News. Scientific-Production Center Map Maker”, LLC, 20 Dec. Web. . (In Russian). Syvorotkin V.L. Climate Change, Abnormal and Degassing. Space and Time 1 (2010): 145–154. (In Russian). Syvorotkin V.L. Deep Degassing of the and Geo-Ecological Problems in Frontier Areas of Electronic Scientific Edition Almanac Space and Time  3.1(‘Space, Time, and Boundaries’) (2013). PDF-file. . (In Russian). Syvorotkin V.L. Earth Degassing and Ozone Layer Destruction. Priroda [The Nature] 9 (1993): 35–45. (In Russian). The Last Day of February Was the Warmest in the Season. GISMETEO News. Scientific-Production Center Map Maker”, LLC, 28 Feb. 2017. Web. . (In Russian). Weather Anomalies in the Old New Year. Meteochronicle . FOBOS Center, 13 Jan. 2017. Web. . (In Russian). Weather in Moscow: Christmas Night Has Become the Coldest in the Millennium. GISMETEO News. Scientific-Production Center Map Maker”, LLC, 7 Jan. 2017. Web. . (In Russian). Syvorotkin, V. L. The State of Ozone Layer and Anomalies in Northern Hemisphere in Winter 2016–2017. Space and Time 1 (2017): 236–250. (In Russian). Fixed network address 2226-7271provr_st1-27.2017.91.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0040.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.008

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 head0.102
GPT teacher head0.289
Teacher spread0.187 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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