CORRELATION BETWEEN AIR TEMPERATURE AND THUNDERSTORM ACTIVITY IN SOUTH AMERICA ACCORDING TO THE ELF MEASUREMENTS IN ANTARCTICA
Bibliographic record
Abstract
Purpose: Analysis of the air temperature annual variations over different South American regions by long series of long-term meteorological observations, consideration of the physico-geographical and climatic features of the Amazonian lowlands, which affect thunderstorm activity in this region, search for the connection between seasonal variations in the Earth-ionosphere global resonator characteristics and air temperature in America, comparison of the results obtained in Antarctica with the surface temperature of American continent, checking the point source model validity for explaining the positions of the thunderstorm activity largest areas. Design/methodology/approach: The method of correlation analysis of time series was used. According to the long-term monitoring of the natural noise of the extremely low frequency range at the Ukrainian Antarctic Akademik Vernadsky Station, the seasonal changes in the Schumann resonance first mode level determined by the activity of the American thunderstorm center were retrieved. The average air temperature in the Amazonian lowlands was estimated for the same period according to the global network of meteorological stations Findings: The presence of a strong relationship between the surface air temperature of the equatorial and sub-equatorial regions of South America and the intensity of the Schumann resonance signal generated by the American thunderstorm center is shown. The hypothesis is confirmed that the Schumann resonator can play the role of a “global thermometer” and the model of an effective point source adequately describes the continental temperature changes. Conclusions: The developed technique is applicable for different points of Schumann resonance monitoring for studying all continental thunderstorm centers. This approach will be useful for developing the concept of using the Schumann resonator as a “global thermometer”. Using the data of simultaneous observations in several monitoring points can be considered promising for estimating short-term (days – several days) variations in global temperature. Key words: extremely low frequency noises, Schumann resonance, global thermometer, American center of global thunderstorm activity Manuscript submitted 11.05.2020 Radio phys. radio astron. 2020, 25(3): 211 -217 REFERENCES 1. BLIOKH, P. V., NICKOLAENKO, A. P. and FILIPPOV, YU. F., 1977. Global electromagnetic resonances in the Earth-ionosphere cavity . Kiev, Ukraine: Naukova Dumka Publ. (in Russian). 2. NICKOLAENKO, A. P. and HAYAKAWA, M., 2002. Resonances in the Earth-ionosphere cavity . Dordrecht: Kluwer Academic Publ. 3. NICKOLAENKO, A. P., SHVETS, A. V. and HAYAKAWA, M., 2016. Extremely Low Frequency (ELF) Radio Wave Propagation: A review. Int. J. Electron. Appl. Res. vol. 3, is. 2, pp. 1–91. DOI: https://doi.org/10.1002/047134608X.W1257.pub2 4. WILLIAMS, E. R., 1992. The Shuman resonance: A global tropical thermometer. Science . vol. 256, no. 5060, pp. 1184–1186. DOI: https://doi.org/10.1126/science.256.5060.1184 5. PRICE, C. and RIND, D., 1990. The effect of global warming on lightning frequencies. In: Proceedings of the AMS 16-th Conference on Severe Storms and Atmospheric Electricity . Alberta, AB, Canada: American Meteorological Society. p. 748. 6. PRICE, C., 2000. Evidence for a link between global lightning activity and upper tropospheric water vapor. Nature . vol. 406, no. 6793, pp. 290–293. DOI: https://doi.org/10.1038/35018543 7. SEKIGUCHI, M., HAYAKAWA, M., NICKOLAENKO, A. P. and HOBARA, Y., 2006. Evidence of a link between the intensity of Schumann resonance and global surface temperature. Ann. Geophys . vol. 24, is. 7, pp. 1809–1817. DOI: https://doi.org/10.5194/angeo-24-1809-2006 8. PAZNUKHOV, A. V., YAMPOLSKI, Y. M., NICKOLAENKO, A. P. and KOLOSKOV, A. V., 2017. Comparison of Air Temperature Variations on the African Continent and the Schumann Resonance Intensity by Using Long- Term Antarctic Observations. Radio Phys. Radio Astron . vol. 22, no. 3, pp. 201–211. (in Russian). DOI: https://doi.org/10.15407/rpra22.03.201 9. LYTVYNENKO, L. N. and YAMPOLSKI, Y. M., eds., 2005. Electromagnetic manifestations of geophysical effects in Antarctica. Kharkiv, Ukraine: IRA NASU, NASCU MESU. (in Russian). 10. PAZNUKHOV, A. V., YAMPOLSKI, Y. M., KOLOSKOV, A. V., HALL, C., PAZNUKHOV, V. E. and BUDANOV, O. V., 2019. Correlation between Air Temperature and Thunderstorm Aactivity in Africa according to the ELF Measurements in Antarctica, Arctica and Ukraine. Radio Phys. Radio Astron . vol. 24, no. 3, pp. 195–205. (in Russian). DOI: https://doi.org/10.15407/rpra24.03.195 11. KOLOSKOV, A. V., NICKOLAENKO, A. P., YAMPOLSKY, YU. M., HALL, C. and BUDANOV, O. V., 2020. Variations of global thunderstorm activity derived from the long-term Schumann resonance monitoring in the Antarctic and in the Arctic. J. Atmos. Sol.-Terr. Phys . vol. 201, is. 5, id. 105231. DOI: https://doi.org/10.1016/j.jastp.2020.105231
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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; a candidate call from one teacher head, not a consensus.
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".