Regional Climate Modelling: Methods of Obtaining the Mesoscale from High-Resolution Data

Turbulence, Atmosphere and Climate Dynamics

生态环境科学

Gavrikov, A.^1 ; Stepanenko, V.^2^3

Shirshov Institute of Oceanology, 36 Nahimovskiy pr., Moscow

117997, Russia^1

Moscow State University, Research Computing Center, Leninskie Gory, bld. 4 1, 119234, Russia^2

Moscow State University, Faculty of Geography, Leninskie Gory, 1, 1119234, Russia^3

关键词: Different resolutions;    High resolution data;    Mesoscale circulation;    Regional climate modelling;    Separation criterion;    Temporal and spatial;    Time-space methods;    Weather Research and Forecast models;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/231/1/012018/pdf
DOI  :  10.1088/1755-1315/231/1/012018

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Several methods of isolating available mesoscale circulations from high-resolution data are presented. We discuss temporal and spatial filtration as the classical approach, a combined time-space method (based on two independent numerical simulations with different resolution), and a dynamic method (based on the geostrophic approach as a separation criterion between synoptic and mesoscale processes). The results demonstrate that the dynamic distinction method is the most promising one. Decomposition of the velocity field into geostrophic and ageostrophic components is performed. The research was conducted using the long-term high-resolution North Atlantic Atmospheric Downscaling (NAAD) experiment based on the Weather Research and Forecast model (WRF).