A local observation data assimilation in mesoscale numerical weather prediction models A. V. Starchenko, M. A. Tolstykh, V. G. Mizyak [et al.]
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ArticleContent type: Текст Media type: электронный Subject(s): численный прогноз погоды | мезомасштабные модели | реальные локальные наблюдения за погодой | Западная Сибирь | ассимиляция данных | объективный анализ | оптимальная интерполяция | прогноз туманаGenre/Form: статьи в журналах Online resources: Click here to access online
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Proceedings of SPIE Vol. 12341 : 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia. P. 123416N-1-123416N-10Abstract: 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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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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