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231027|2022 xxu s a eng d |
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|a 10.1117/12.2644943
|2 doi
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|a koha001008847
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|b rus
|c RU-ToGU
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|a A local observation data assimilation in mesoscale numerical weather prediction models
|c A. V. Starchenko, M. A. Tolstykh, V. G. Mizyak [et al.]
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|a Текст
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|a электронный
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|a Библиогр.: 16 назв.
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|a This paper presents the results of applying an optimal interpolation method to assimilate meteorological observation data obtained by using ground-based weather stations and temperature profilers of the Atmosphere JUC (Joint Use Center) at the Institute of Atmospheric Optics SB RAS to calculate a numerical prediction with high horizontal resolution (1km) of the parameters of the atmospheric boundary layer for the next 24 hours.
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|a численный прогноз погоды
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|a мезомасштабные модели
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|a реальные локальные наблюдения за погодой
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|a Западная Сибирь
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|a ассимиляция данных
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|a объективный анализ
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|a оптимальная интерполяция
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|a прогноз тумана
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|a статьи в журналах
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|a Starchenko, Alexander V.
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|a Tolstykh, Mickhail A.
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|a Mizyak, Vasiliy G.
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|a Svarovsky, Artem I.
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|a Prokhanov, Sergey A.
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| 773 |
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|t Proceedings of SPIE
|d 2022
|g Vol. 12341 : 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia. P. 123416N-1-123416N-10
|x 0277-786X
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|a RU-ToGU
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|u http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001008847
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|a статья
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|c 1008847
|d 1008847
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