Mesoscale atmospheric modelling technology as a tool for creating a long-term meteorological dataset

Platonov, V.; Kislov, A.; Rivin, G.; Varentsov, M.; Rozinkina, I.; Nikitin, M.; Chumakov, M.

Информация о цитировании статьи получена из Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 6 октября 2021 г.

Авторы: Vladimir Platonov, Alexander Kislov, Gdaly Rivin, Mikhail Varentsov, Inna Rozinkina, Mikhail Nikitin, Mikhail Chumakov
Журнал: IOP Conference Series: Earth and Environmental Science
Том: 96
Год издания: 2017
Издательство: IOP Publishing
Местоположение издательства: [Bristol, UK], England
DOI: 10.1088/1755-1315/96/1/012004
Аннотация: A detailed hydrodynamic simulation of major meteorological parameters for the last 30 years (1985 – 2014) has been performed for the Sea of Okhotsk and the Sakhalin Island. The regional non-hydrostatic atmospheric model COSMO-CLM was used for this long-term simulation with horizontal resolutions of ~13.2, ~6.6 and ~2.2 km. This dataset was created to help in the investigation of statistical characteristics and physical mechanisms of formation of extreme weather events (primarily wind speed extremes) on small spatio-temporal scales. The detailed meteorological information thus obtained could be used to take into account the coast configuration, mountain systems, and other important mesoscale features of the terrain. This paper describes a proposed downscaling technology for long-term simulations with three "nested domains". The results of verification of the dataset and estimation of extreme wind velocities are presented.
Добавил в систему: Платонов Владимир Сергеевич

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Mesoscale atmospheric modelling technology as a tool for creating a long-term meteorological datasetстатья

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