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

International Conference on Computational Information Technologies for Environmental Sciences 2017

生态环境科学;计算机科学

Platonov, Vladimir^1,2,3,4 ; Kislov, Alexander^1,2,3,4 ; Rivin, Gdaly^1,2,3,4 ; Varentsov, Mikhail^1,2,3,4 ; Rozinkina, Inna^1,2,3,4 ; Nikitin, Mikhail^1,2,3,4 ; Chumakov, Mikhail^1,2,3,4

Lomonosov Moscow State University, Department of Geography, Section of Meteorology and Climatology, Leninskie Gory MGU, 1, GSP-1, Moscow

119991, Russia^1

Hydrometcentre of Russia, B. Predtechensky per., 11-13, Moscow

123242, Russia^2

A.M.Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences, Pyzhyovskiy pereulok, 3, Moscow

119017, Russia^3

Gazprom VNIIGAZ LLC, box 130, Razvilka village, 15-1, Moscow region

115583, Russia^4

关键词: Atmospheric modelling;    Extreme weather events;    Horizontal resolution;    Hydrodynamic simulation;    Meteorological information;    Meteorological parameters;    Spatio-temporal scale;    Statistical characteristics;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/96/1/012004/pdf
DOI  :  10.1088/1755-1315/96/1/012004

来源: IOP

【 摘 要 】

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.