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Record W2528052628

Синоптические события первого полугодия 2016 г.: парад планет и самое сильное разрушение озонового слоя в Северном полушарии зимой; ранние паводки в Западной Сибири и Казахстане, аномальный холод в Центральной Европе весной

2016· article· ru· W2528052628 on OpenAlexaboutno aff
Владимир Леонидович Сывороткин

Bibliographic record

VenueПространство и Время · 2016
Typearticle
Languageru
FieldSocial Sciences
TopicEconomic and Technological Developments in Russia
Canadian institutionsnot available
Fundersnot available
KeywordsOzone layerNorthern HemisphereOzone depletionClimatologyPlanetGeologyOzoneEnvironmental scienceArcticAnomaly (physics)Atmospheric sciencesStratosphereOceanographyGeographyMeteorologyAstronomy
DOInot available

Abstract

fetched live from OpenAlex

Identifying the causes of natural disasters and anomalies is a major problem both scientifically and socially. Based on ozone layer daily and monthly monitoring and using system, comparative and discourse analysis, I review media reports on main sinoptical events and weather anomalies in comparison with total ozone maps during the first half of I show the parade of planets of Jan.–Feb. 2016 caused increase in hydrogen degassing from the Earth’s core (due cumulative gravitational effect of planets, Sun, and Moon). It leads to abnormal ozone layer destruction in Northern This ozone anomaly stretched from the mid-Atlantic to the Pacific coast. Its center was located in Siberia. Here, ozone losses were fixed over 50% in the last five days in January. Ozone layer depletion on this vast territory caused abnormally warm weather, so the winter months in the Northern Hemisphere became the warmest in the history of instrumental observations. Increase in deep degassing during the phase of the full moon in late caused a series of explosions at the mine Severnaya in Vorkuta, which killed 36 people. I also discuss some modern explanation of Recent “Warm Arctic, Cold Continents” trend pattern in winter temperatures (including atmospheric Rossby waves) and show they are absurd and inconclusive, as well as terminological controversies surrounding term ‘ozone hole’. Analysis of information on weather anomalies allowed me to conclude that weather anomalies in winter and spring 2016 are result of deep hydrogen degassing. parade of planet; deep degassing; hydrogen; methane; ozone layer; ozone anomalies; weather anomalies; explosion at the coal mine; floods; snowfalls April Snow Falls on Hungary’s Highest Peak – Video. Hungary Today. N.p., 25 Apr. Web. . Czech Is Sweeps Out with Snow. Radio Mayak. N.p., 26 Apr. Web. . (In Russian). Erusalimsky D. Huge Ozone Hole Is Looming Over Moskovsky Komsomolets. 29 Jan. Web. . (In Russian). Explosion at the Mine ‘Severnaya’. Wikipedia. The Free Encyclopedia. Wikimedia Foundation, Inc., n.d. Web. . (In Russian). Hydrometeorological Center of Russia. Calendar Winter Ends by the Summer Heat. GISMETEO News. Hydrometeocenter of Russia,  25 Feb. Web. . (In Russian). Hydrometeorological Center of Russia. Global Warming in the Northern Hemisphere Has Passed ‘Red Line’. GISMETEO News. Hydrometeocenter of Russia, 17 Mar. Web. . (In Russian). Hydrometeorological Center of Russia. Key Features of Weather and climate in the Northern Hemisphere of Earth in 2016 // Official Website of Hydrometeorological Center of Russia. Hydrometeocenter of Russia, Web. . (In Russian). Hydrometeorological Center of Russia. Moscow: The Second Ten Days of Has Brought the Most Extraordinary Event of This Winter. GISMETEO News. Hydrometeocenter of Russia, 22 Feb. Web. . (In Russian). Hydrometeorological Center of Russia. Spring Began with Anomalies. GISMETEO News. Hydrometeocenter of Russia,  29 Mar. Web. . (In Russian). Huge Ozone Hole Covered News Agency REGNUM. N.p., 28 Jan. Web. . (In Russian). Lecture on Natural Disasters Will Be Held at the Moscow Planetarium, January 27. Regional News Agency of Moscow Region. N.p., 14 Jan. Web. . (In Russian). Masters J., Henson B. February Temperature Spike Bombshell. Green Left Weekly 1088 (2016): 13. Web. . Record Warmth in the Arctic, Taymyr and Northern Yakutia. EVENTS & FACTS. N.p., 6 Jan. Web. . (In Russian). Scientist: There Is No Ozone Hole Over Gazeta.ru. 30 Jan. Web. . (In Russian). Select Ozone Maps. Ozone and Ultraviolet Research and Monitoring. Environment Canada's World Wide Web Site. The Green LaneTM. Web. . Subbotina E. In the Northern Hemisphere, the Weather Hits Record of Heat for a Year. Russian Gazette [Moscow] 2 May Web. . (In Russian). Sun L., Perlwitz J., Hoerling M. What Caused the Recent “Warm Arctic, Cold Continents” Trend Pattern in Winter Temperatures?. Geophysical Research Letters 43.5 (2016): 5345–5352. Syvorotkin V.L. Warm December of Anomalously Warm 2015 in Northern Hemisphere. Space and Time 4 (2015): 244–253. (In Russian). Syvorotkin V.L. M.V. Lomonosov, the Founder of the Meteorological Geology. Space and Time 4 (2011): 166–174. (In Russian). Valerina L. of Planets in January 2016. RSUTE.RU. N.p., 3 Feb. Web. . (In Russian). Warm Arctic, Cold Continent: The Future Scenario?. News of METEO-TV. N.p., 2 Jan. Web. . (In Russian). Zaykov N. Metropolitan Scientist Had Scared Siberians by Ozone ‘Hole-King’. Russian Gazette [Moscow] 1 Feb. Web. . (In Russian). Syvorotkin, V. L. Synoptical Events of the First Half of 2016: Parade of Planets and the Most Severe Ozone Layer Destruction in Northern Hemisphere in Winter; Early Floods in Western Siberia and Kazakhstan, Abnormal Cold in Central Europe in Spring. Space and Time 1/2 (2016): 257–270. (In Russian). Fixed network address 2226-7271provr_st1_2-23_24.2016.103.

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)0.006
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0040.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.003
Science and technology studies0.0040.006
Scholarly communication0.0010.003
Open science0.0070.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0530.035

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 head0.026
GPT teacher head0.272
Teacher spread0.246 · 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
Published2016
Admission routes1
Has abstractyes

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