Abstract
Methods and results of the numerical forecast of glaze phenomena in Central Russia for cold periods of 2003–2018 are presented. Effectiveness of glaze forecasting is compared by two methods: (i) analysis of hydrometeor types and air temperature near the Earth’s surface from the WRF-ARW model and (ii) using the thermobalance model with WRF-ARW model forecasts as initial data. Some advantages of glaze forecasts using the thermobalance model are demonstrated.
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REFERENCES
Manual on Codes—International Codes, Vol. I.1, Annex II to the WMO Technical Regulations: Part A—Alphanumeric Codes (WMO, 2019).
S. P. Khromov and L. I. Mamontova, Meteorological Dictionary (Gidrometeoizdat, Leningrad, 1974) [in Russian].
K. G. Rubinshtein, R. Yu. Ignatov, Yu. I. Yusupov, and D. E. Titov, “Heat-balance technique as appied to forecast of overhead power line riming events,” Energiya Edinoi Seti. No. 2, 43–50 (2018).
D. E. Titov, G. G. Ugarov, and A. A. Ustinov, “Analysis of application of models to assess parameters of ice formation on overhead electric power lines,” Power Tech. Eng. 51 (2), 240–246 (2017).
A. Zarnani, P. Musilek, X. Shi, X. Ke, H. He, and R. Greiner, “Learning to predict ice accretion on electric power lines,” J. Eng. Appl. Artif. Intell. 25 (3), 609–617 (2012).
A. T. DeGaetano, B. N. Belcher, and P. L. Spier, “Short-term ice accretion forecasts for electric utilities using the weather research and forecasting model and a modified precipitation-type algorithm,” Weather Forecast 23, 878–853 (2008).
G. Thompson, “Using the Weather Research and Forecasting (WRF) model to predict ground structural icing,” in Book of IWAIS XIII (Andematt, 2009), p. 2–10.
D. E. Titov, G. G. Ugarov, and A. G. Soshinov, “Monitoring the intensity of ice formation on overhead electric power lines and contact networks,” Power Tech. Eng. 49 (1), 78–82 (2015).
J. Shao, S. J. Laux, B. J. Trainor, and R. E. W. Pettifer, “Nowcasts of temperature and ice on overhead railway transmission wires,” Meteorol. Appl. 10 (2), 123–133 (2003).
W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, D. Barker, M. G. Duda, X.-Y. Huang, and W. A. Wang, Description of the Advanced Research WRF Version 3, No. NCAR/TN-475+STR (NCAR, Boulder, USA, 2008). https://doi.org/10.5065/D68S4MVH
E. R. Mansell, C. L. Ziegler and E. C. Bruning, “Simulated electrification of a small thunderstorm with two-moment bulk microphysics,” J. Atmos. Sci. 67, 171–194 (2010).
NCEP Products Inventory. www.nco.ncep.noaa.gov/ pmb/products/gfs. Cited January 12, 2020.
L.-P. Crevier and Y. Delage, “METRo: A new model for road-condition forecasting in canada,” J. Appl. Meteorol. 40, 2026–2037 (2001).
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Translated by A. Nikol’skii
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Ignatov, R.Y., Rubinshtein, K.G. & Yusupov, Y.I. Numerical Experiments on Forecasting Glaze Phenomena. Atmos Ocean Opt 33, 682–689 (2020). https://doi.org/10.1134/S1024856020060202
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DOI: https://doi.org/10.1134/S1024856020060202