SEVEN-DAY VARIATIONS IN THE ATMOSPHERIC AEROSOLS
Bibliographic record
Abstract
The results are presented of the weekly periodicity search in the behavior of the aerosol optical thickness measured at the wavelengths of 440 and 870 nm, Angstrom parameter (440/870) and the precipitable water vapor in the atmosphere for five European cities. The analysis was made with the AERONET network data for the 2009–2011 period. The studies confirmed the weekend-effect presence in all analyzed parameters behavior with maximum values on Thursday–Saturday. Key words: weekend-effect, aerosols, aerosol optical thickness, precipitable water, Angstrom parameter, anthropogenic impact Manuscript submitted 20.01.2015 Radio phys. radio astron. 2015, 20(2): 109-121 REFERENCES 1. CHEKMAN, I.S., SYROVAYA, A. O., ANDREEVA, S. V. and MAKAROV, V. A., 2013. Aerosols – dispersion systems: Monograph . Kharkiv, Ukraine: Tsifrova Drukarnya no. 1 Publ. 2. IVLEV, L. S. and DOVGALYUK, Yu. A., 1999. Physics of atmospheric aerosol systems . Sankt-Petersburg, Russia: NIIKh SPGU Publ. 3. PENNER, J. E., ANDREAE, M., ANNEGARN, H., BARRIE, L., FEICHTER, J., HEGG, D., JAYARAMAN, A., LEAITCH, R., MURPHY, D., NGANGA, J. and PITARI, G., 2001. Aerosols, their direct and indirect ffects. In: Climate Change 2001: The Scientific Basis. Contribution of Working Groupe I Third Assessment Report of the Intergovernmental Panel on Climate Change . Cambridge, UK, New York, NY, USA: Cambridge University Press. 4. FORSTER, P., RAMASVAMY, V., ARTAXO, P., BERNTSEN, T., BETTS, R., FAHEY, D. W., HAYWOOD, J., LEAN, J., LOWE, D. C., MYHRE, G., NGANGA, J., PRINN, R., RAGA, G., SCHULZ, M. and VAN DORLAND, R., 2007. Changes in atmospheric constiruents and in radiative forsing. In: Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change . – Cambridge, UK, New York, NY, USA: Cambridge University Press. 5. PAZNUKHOV, A. V., YAMPOLSKI, Y. M., ZANIMONSKIY, Y. M. and SOINA, A. V., 2012. Search of "Weekend Effect" in the Intensity of Nutural VLF Noise Variations. Radio Phys. Radio Astron . vol. 17, no. 1, pp. 67–73 (in Russian). 6. STALLINS, J. A., CARPENTER, J., BENTLEY, M. L., ASHLEY, W. S. and MULHOLLAND, J. A., 2013. Weekend–weekday aerosols and geographic variability in cloud-to-ground lightning for the urban region of Atlanta, Georgia, USA. Regional Environmental Change . vol. 13, is. 1, pp. 137–151. DOI: https://doi.org/10.1007/s10113-012-0327-0 7. BÄUMER, D., RINKE, R. and VOGEL, B., 2008. Weekly periodicities of Aerosol Optical Thickness over Central Europe – evidence of an anthropogenic direct aerosol effect. Atmos. Chem. Phys . vol. 8, no 1, pp. 83–90. DOI: https://doi.org/10.5194/acp-8-83-2008 8. HOLBEN, B. N., ECK, T. F., SLUTSKER, I., TANRÉ, D., BUIS, J. P., SETZER, A., VERMOTE, E., REAGAN, J. A., KAUFMAN, Y. J., NAKAJIMA, T., LAVENU, F., JANKOWIAK, I. and SMIRNOV, A., 1998. AERONET – A Federated Instrument Network and Data Archive for Aerosol Characterization. Remote Sens. Environ . vol. 66, is. 1, pp. 1–16. DOI: https://doi.org/10.1016/S0034-4257(98)00031-5 9. KOLOSKOV, A. V., BARU, N. A., BUDANOV, O. V., PAZNUKHOV, V. Y. and YAMPOLSKI, Y. M., 2011/2012. Two-position (Antarctica-Ukraine) monitoring of Earth's global electromagnetic resonances. Ukrainian Antarctic Journal . no. 10–11, pp. 121–127. 10. DUBOVIK, O. and KING, M. D., 2000. Aflexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements. J. Geophys. Res. Atmospheres . vol. 105, is. D16, pp. 20673–20696. DOI: https://doi.org/10.1029/2000JD900282 11. GALYTSKA, E. I., DANYLEVSKY , V. O. and SNIZHKO, S. I., 2014. State of aerosol pollution of the atmosphere over Kyiv by means of remote studies AERONET and the impact of forest fires in the summer of 2010. Geopolitika i Ekodinamika Regionov . vol. 10, Is. 1, pp. 437–444 (in Ukrainian). 12. 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Investigation of the Atmospheric Water-Vapor Content in Crimeavia Long-Term Photometric Solar Observatios. Bull. Crimean Astrophys. Obs . vol. 109, no. 1, pp. 122–131. DOI: https://doi.org/10.3103/S0190271713010257 16. ECK, T. F., HOLBEN, B. N., REID, J. S., DUBOVIK, O., SMIRNO,V A., O'NEILL, N. T., SLUTSKER, I. and RINNE, S., 1999. Wavelength dependence of the optical depth of biomass burning, urban and desert dust aerosols. J. Geophys. Res. Atmospheres . vol. 104, is. D24, pp. 31333–31349. DOI: https://doi.org/10.1029/1999JD900923 17. SCHUSTER, G. L., DUBOVIK, O. and HOLBEN, B. N., 2006. Angstrom exponent and bimodal aerosol size distributions. J. Geophys. Res. Atmospheres . vol. 111, is. D7, id D07207. DOI: https://doi.org/10.1029/2005JD006328 18. SANDRINI, S., GIULIANELLI, L., DECESARI, S., FUZZI, S., CRISTOFANELLI, P., MARINONI, A., BONASONI, P., CHIARI, M., CALZOLAI, G., CANEPARI, S., PERRINO, C. and FACCHINI, M. C., 2014. Insitu physical and chemical characterisation of the Eyjafjallajokull aerosol plume in the free troposphere over Italy. Atmos. Chem. Phys . vol. 14, no. 2, pp. 1075–1092. DOI: https://doi.org/10.5194/acp-14-1075-2014 19. KAZNACHEEV, V. P., 1990. Urban and human ecology problems. Urboecology . Moskow, Russia: Nauka Publ. (in Russian).
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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".