A local observation data assimilation in mesoscale numerical weather prediction models

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 nu...

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Bibliographic Details
Published in:Proceedings of SPIE Vol. 12341 : 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia. P. 123416N-1-123416N-10
Other Authors: Starchenko, Alexander V., Tolstykh, Mickhail A., Mizyak, Vasiliy G., Svarovsky, Artem I., Prokhanov, Sergey A.
Format: Article
Language:English
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Online Access:http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:001008847
Description
Summary: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.
Bibliography:Библиогр.: 16 назв.
ISSN:0277-786X