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Record W1835723244

Озоновый слой и природные катаклизмы первой половины 2015 года: пожары и наводнения; гибель китов и дельфинов; аномальная жара в Сибири и аномальный холод в США

2015· article· ru· W1835723244 on OpenAlexaboutno aff
Владимир Леонидович Сывороткин

Bibliographic record

VenueПространство и Время · 2015
Typearticle
Languageru
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAnticycloneOzone layerAnomaly (physics)ClimatologyOzoneAtmosphere (unit)TroposphereAtmospheric sciencesEnvironmental scienceStratosphereGeologyMeteorologyGeographyPhysics
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 monitoring and using system, comparative and discourse analysis, I review media reports on weather anomalies in comparison with total ozone maps. I show the absurdity of the modern explanation of natural anomalies. Thus, according to Russian meteorologists, cold Scandinavian anticyclone moving across Ukraine, has brought anomalous cold in North Africa (?!). Moreover, it turns out, the same anticyclone (!) has brought heavy rainfall to the European part of In my review, I propose more correct explanation of natural anomalies. The main cause of the weather (and climate) anomalies is the fluctuations of the ozone total quantity (total ozone) in the atmosphere. These fluctuations are caused by (i) emission of the deep gases (hydrogen and methane), which destruct ozone, and (ii) variations of the geomagnetic field, which increase the concentration of ozone. The positive ozone anomalies cool the troposphere and create anti-cyclones, dry, heavy and slow moving air masses. The negative anomalies warm up the air and create the cyclonic masses with law pressure. The nearest anticyclones could move to that area bringing with them the anomalous temperatures, sometimes very high and sometimes very law. Analysis of information on weather anomalies on the territory of Eurasia and US allowed me to once again demonstrate the correctness of the hypothesis of deep degassing as the cause of destruction of the ozone layer. weather (climate) anomaly; anomalies of ozone; ozone layer; total ozone maps; deep degassing; hydrogen; natural fires; death of whales and dolphins Anomalous Warming Accelerates Flooding in the Altai. Meteo-News. N.p., 21 Apr. Web. .(In Russian). April Heat Will Leave Moscow. GISMETEO News. N.p., 11 March Web. . (In Russian). Arctic Cold Reached the GISMETEO News. N.p., 7 Jan. Web. . (In Russian). Dolphins - Self-murderers Beached Oneself in Japan. GISMETEO News. 11 Apr. Web. . (In Russian). Europeans Are Sunbathing and Preparing to Red Rain. GISMETEO News. N.p., 10 Apr. Web. . (In Russian). Golub D. Cold Goes to Komsomolskaya Pravda. Crimea. 6 Jan. Web. . (In Russian). Heavy Snowfall Has Suspended Military Conflict in Syria. GISMETEO News. 7 Jan. Web. . (In Russian). How Is Parade on May 9 in Chelyabinsk Adjusted Because of Snowfall in 2015?. Great Question.ru. N.p., 9 May Web. . (In Russian). In Chile, Almost 40 Dead Whales Sei Whales Are Found. GISMETEO News. N.p., 8 May Web. . (In Russian). In Moscow, the Temperature Record of 25-Year-Old Is Cracked. GISMETEO News. N.p., 24 Feb. Web. . (In Russian). In Resorts of Egypt, Tourists Are Freezing. GISMETEO News. 9 Jan. Web. . (In Russian). In Washington, Cold Winter Had Violated Work of Metro. GISMETEO News. 9 Jan. Web. . (In Russian). NASA Satellite Took a Picture of the US States That Have Frozen. GISMETEO News. 21 Feb. Web. . (In Russian). Satellites Photographed the ‘Frozen’ East of the US. GISMETEO News. 1 March Web. . (In Russian). Select Maps. and Ultraviolet Research and Monitoring. Environment Canada's World Wide Web Site. The Green LaneTM. Web. . Simferopol Water Reservoir Froze Due To Abnormal Frosts. GISMETEO News. 11 Jan. Web. . (In Russian). Syvorotkin V.L. Degassing and Global Catastrophes. Moscow: Geoinformmark Publisher, 2002. 250 p. (In Russian). Syvorotkin V.L. Deep Degassing of the Earth and Geo-Ecological Problems in Frontier Areas of Russia. Electronic Scientific Edition Almanac Space and Time 3.1 (2013). Web. . (In Russian). Syvorotkin V.L. Deep Degassing, Layer and Wildfires in European Russia in the Summer of 2010. Space and Time 2 (2010): 175–182. (In Russian). Syvorotkin V.L. Environmental Aspects of the Earth’s Degassing. Moscow: Geoinformmark Publisher, 1998. 57 p. (In Russian). Tynyanova O.N. Science Knowledge as a Resource of Power. World of Psychology 4 (2013): 258–282. (In Russian). Weather Diary in Simferopol for April 2015. GISMETEO News. N.p., Apr. Web. . (In Russian). Zenin S. Area of Forest Fires in the Trans-Baikal Region Increased for Eight Times Per Day. First Channel. TV First Channel, 14 Apr. Web . (In Russian). Syvorotkin,V. L. Ozone Layer and Natural Disasters in the First Half of 2015: Fires and Floods; Death of Whales and Dolphins; Anomalous Heat in Siberia and Anomalous Cold in the US. Space and Time 1/2 (2015): 336–345. (In Russian). Fixed network address 2226-7271provr_st1_2-19_20.2015.101.

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)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.765
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.003
Science and technology studies0.0040.005
Scholarly communication0.0010.002
Open science0.0040.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.017

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 head0.088
GPT teacher head0.383
Teacher spread0.295 · 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
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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