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Usage of Atmospheric Sounding to Characterize the Meteorological Events on the Night of 23/24 August, 2022 Cover

Usage of Atmospheric Sounding to Characterize the Meteorological Events on the Night of 23/24 August, 2022

Open Access
|Feb 2023

References

  1. [1] Kirshbaum D.J., Adler B., Kalthoff N., Barthlott C., Serafin S., Moist Orographic Convection: Physical Mechanisms and Links to Surface-Exchange Processes, Atmosphere, 2018; 9(3):80, https://doi.org/10.3390/atmos903008010.3390/atmos9030080
  2. [2] Silvestri L., Saraceni M. & Bongioannini Cerlini P., Links between precipitation, circulation weather types and orography in central Italy, International Journal of Climatology, 2022, 42(11), 5807–5825, https://doi.org/10.1002/joc.756310.1002/joc.7563
  3. [3] Heim C., Panosetti D., Schlemmer L., Leuenberger D. & Schär C., The Influence of the Resolution of Orography on the Simulation of Orographic Moist Convection, Monthly Weather Review, 2020, 148(6), 2391-2410.10.1175/MWR-D-19-0247.1
  4. [4] Hochman A., Marra F., Messori G., Pinto J.G., Raveh-Rubin S., Yosef Y. and Zittis G., Extreme weather and societal impacts in the eastern Mediterranean, Earth Syst. Dynam., 13, 749–777, https://doi.org/10.5194/esd-13-749-2022, 2022.10.5194/esd-13-749-2022
  5. [5] Cai X., Cao H., Fang X., Sun J. and Yu Y., A View for Atmospheric Unpredictability, Front. Earth Sci. 9:686832 (2021), doi: 10.3389/feart.2021.68683210.3389/feart.2021.686832
  6. [6] Yano J.I., Ziemiański M.Z., Cullen M., Termonia P., Onvlee J. et al., Scientific challenges of convective-scale numerical weather prediction, Bulletin of the American Meteorological Society, American Meteorological Society, 2018, ff10.1175/BAMSD-17-0125.1ff. ffhal-02395934f10.1175/BAMS-D-17-0125.1
  7. [7] Bartoszek K., The main characteristics of atmospheric circulation over East-Central Europe from 1871 to 2010, Meteorol Atmos Phys 129, 113–129 (2017), https://doi.org/10.1007/s00703-016-0455-z10.1007/s00703-016-0455-z
  8. [8] Modellzentrale Database, accessed on 03/09/2022, http://www.modellzentrale.de/
  9. [9] Firenzemeteo Database, accessed on 03/09/2022, https://www.firenzemeteo.it/
  10. [10] Wetter Database, accessed on 04/09/2022, https://www.wetter3.de
  11. [11] Wetterzentrale Database, accessed on 01/09/2022, https://www.wetterzentrale.de/
  12. [12] Wetter und Klima - Deutscher Wetterdienst, accessed on 02/09/2022, http://www.dwd.de/
  13. [13] Zoom Earth, accessed on 05/09/2022, https://zoom.earth/maps/daily/
  14. [14] European national meteorological services, trainers and operational forecasters, accessed on 03/09/2022, https://eumetrain.org/index.php/eport
  15. [15] WxCharts Database, accessed on 08/09/2022, https://www.wxcharts.com/
  16. [16] European national meteorological services, trainers and operational forecasters, accessed on 07/09/2022, http://www.eumetrain.org/
  17. [17] Meteologix Database, accessed on 05/09/2022, https://meteologix.com/ro
  18. [18] Hassan A., Ilyas S.Z., Agathopoulos S., Hussain S.M., Jalil A., Ahmed S. & Baqir Y., Evaluation of adverse effects of particulate matter on human life. Heliyon, 2021, 7(2), e05968, https://doi.org/10.1016/J.HELIYON.2021.E0596810.1016/j.heliyon.2021.e05968790330533665396
  19. [19] Kim K.H., Kabir E. & Kabir S., A review on the human health impact of airborne particulate matter, Environment International, 2015, 74, 136–143, https://doi.org/10.1016/J.ENVINT.2014.10.00510.1016/j.envint.2014.10.00525454230
  20. [20] Copernicus - Particulate matter forecasts Database, https://atmosphere.copernicus.eu/charts/cams/particulate-matter-forecasts
  21. [21] National Air Quality Monitoring Network, accessed on 05/09/2022, https://www.calitateaer.ro/
  22. [22] ACTRIS Cloudnet data portal, accessed on 05/09/2022, https://cloudnet.fmi.fi/search/visualizations
  23. [23] Illingworth A.J., Hogan R.J., O’Connor E.J., Bouniol D., Brooks M.E., Delanoë J., Donovan D.P., Eastment J.D., Gaussiat N., Goddard J.W. et al., Cloudnet: Continuous evaluation of cloud profiles in seven operational models using ground-based observations, Bull. Am. Meteorol. Soc. 2007, 88, 883–898.10.1175/BAMS-88-6-883
  24. [24] https://www.blitzortung.org/, accessed on 05/09/2022
  25. [25] Schicker I., Radanovics S. and Seibert P., Origin and transport of Mediterranean moisture and air, Atmos. Chem. Phys., 10, 5089–5105, 2010, https://doi.org/10.5194/acp-10-5089-201010.5194/acp-10-5089-2010
  26. [26] Manzato A., The Use of Sounding-Derived Indices for a Neural Network Short-Term Thunderstorm Forecast, Weather and Forecasting, 2005, 20(6), 896-917.10.1175/WAF898.1
  27. [27] Manzato A. & Morgan G.J., Evaluating the sounding instability with the Lifted Parcel Theory. Atmospheric Research, 2003, 67–68, 455–473, https://doi.org/10.1016/S0169-8095(03)00059-010.1016/S0169-8095(03)00059-0
  28. [28] Gangane A., Pawar S.D., Gopalakrishnan V. and Saikrishnan K.C., Effect of dust particles on lightning flash rate and polarity of dust storms over India, Natural Hazards, 2022.10.1007/s11069-022-05651-x
Language: English
Page range: 33 - 62
Submitted on: Sep 16, 2022
Accepted on: Sep 30, 2022
Published on: Feb 10, 2023
Published by: Gheorghe Asachi Technical University of Iasi
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open

© 2023 Cosmina Apetroaie, Diana-Corina Bostan, Adrian Timofte, Sorin Bostan, Marius-Mihai Cazacu, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.