Bibliographic record
Abstract
According article 3 of Vienna Convention for the Protection of the Ozone Layer, studying the effect of ozone layer changes on the climate is a priority in importance. However, instead, real studies have been tampered with financially-motivated decisions of the Montreal Protocol. 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 during summer and autumn of I show that most of the second half of 2016 in the Northern Hemisphere and in Russia was marked by record abnormally high temperature. For the Arctic regions, most often marginal seas of Siberia, the largest values of anomalous heat were characteristic. Due to them, the average monthly temperatures in Russia and in the Northern Hemisphere were the highest on record. That is the main conclusion of the synoptic observations during this period: the planetary heat center is located in the Siberian marginal seas. This is where it is necessary to focus on identifying the causes of thermal anomalies. For us, it has long been clear. main process of heating the air above the Arctic Ocean is deep degassing, which causes the melting of ice. water freed from the ice, warms cold polar air, and the magnitude of temperature anomalies increases in winter months when the air is cooled maximally in the polar night. Temperature anomalies of mainland of the Northern Hemisphere are of contrasting different sign, and total ozone anomalies entirely explain them. ozone anomalies; weather anomalies; Vienna Convention for the Protection of the Ozone Layer; deep degassing; hydrogen; Arctic Ocean; Arctic Altai Residents Have Experienced the Coldest Night of the Century. REGNUM News Agency.p., 18 Nov. Web. . (In Russian). Hydrometeorological Center of Key Features of and Climate in the Northern Hemisphere of Earth in June 2016. Official Website of Hydrometeorological Center of Hydrometeocenter of Russia, June Web. . (In Russian). Hydrometeorological Center of Key Features of and Climate in the Northern Hemisphere of Earth in July 2016. Official Website of Hydrometeorological Center of Hydrometeocenter of Russia, July Web. . (In Russian). Hydrometeorological Center of Key Features of and Climate in the Northern Hemisphere of Earth in August 2016. Official Website of Hydrometeorological Center of Hydrometeocenter of Russia, Aug. Web. . (In Russian). Hydrometeorological Center of Key Features of and Climate in the Northern Hemisphere of Earth in September 2016. Official Website of Hydrometeorological Center of Hydrometeocenter of Russia, Sep. Web. . (In Russian). Hydrometeorological Center of Key Features of and Climate in the Northern Hemisphere of Earth in October 2016. Official Website of Hydrometeorological Center of Hydrometeocenter of Russia, Oct, Web. . (In Russian). Hydrometeorological Center of Key Features of and Climate in the Northern Hemisphere of Earth in November 2016, Official Website of Hydrometeorological Center of Hydrometeocenter of Russia, Nov. Web. . (In Russian). Hydrometeorological Center of Moscow: Ice, Blowing Snow and December Chill. GISMETEO News. Hydrometeocenter of Russia, 11 Nov. Web. . (In Russian). Hydrometeorological Center of Moscow: Vagaries Are Going On. GISMETEO News. Hydrometeocenter of Russia, 10 Nov. Web. . (In Russian). Hydrometeorological Center of Winter Came: Yakutia, Up To 18 cm of Snow Fell Out. GISMETEO News. Hydrometeocenter of Russia, 29 Aug. Web. . (In Russian). Inoue J., Hori M.E., Takaya K. The Role of Barents Sea Ice in the Wintertime Cyclone Track and Emergence of a Warm-Arctic Cold-Siberian Anomaly. Journal of Climate7 (2012): 2561–2568. Ivanov A. In Ulan-Ude, 72-Year-Old Temperature Was Surpassed. Inform Polis Online. N.p., 4 July Web. . (In Russian). Karasev I. Record the November Heat Came in Krasnodar. Rossiyskaya Gazeta [Russian Gazette] 10 Nov. Web. . (In Russian). Reshetnikov N. Siberia Shackled to Abnormal Frosts in November. Rossiyskaya Gazeta [Russian Gazette]. 19 Nov. Web. . (In Russian). Select Ozone Maps. Ozone and Ultraviolet Research and Monitoring. Environment Canada's World Wide Web Site. Green LaneTM. Web. . Syvorotkin V.L. Deep Degassing of the Earth and Geo-Ecological Problems in Frontier Areas of Russia. Electronic Scientific Edition Almanac Space and Time1 (2013). PDF-file. . (In Russian). Syvorotkin V.L. M.V. Lomonosov, the Founder of the Meteorological Geology. Space and Time 4 (2011): 166–174. (In Russian). UNEP, Ozone Secretariat of United Nations Environment Programme. Handbook for the International Treaties for the Protection of the Ozone Layer Vienna Convention (1985). Montreal Protocol (1987). Sixth edition (2003). PDF-file. . Vienna Convention for the Protection of the Ozone Layer. Wikipedia. Free Encyclopedia. Wikimedia Foundation, Inc., n.p. Web. . (In Russian). Syvorotkin, V. L. Weather and Ozone Anomalies in Summer and Autumn of 2016. Space and Time 3/4 (2016): 236–250. (In Russian). Fixed network address 2226-7271provr_st3_4-25_26.2016.91.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.015 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".