Sensitivity study with global and high resolution meteorological model

Paola Mercogliano*, Keiko Takahashi, Pier Luigi Vitagliano, Pietro Catalano

*この研究の対応する著者

研究成果: Chapter

抄録

The global cloud-resolving model (GCRM) is based on a holistic approach: the complex interdependences among macro-scale and micro-scale processes are simulated directly. In standard models, the micro-scale phenomena have spatial and time scale smaller than the minimum allowed model-grid resolution; thus, a parameterization is necessary to take into account the important effect that the interaction between phenomena at different length scales produces on weather. Computational meteorological models with higher resolution have a more correct representation of the terrain complex orography and also a more realistic horizontal distribution of the surface characteristics. The focus of the analysis has been placed on the evolution of the quantitative precipitation forecast (QPF), one of the most complex and important meteorological variables. A very special topic of the GCRM is the Yin-Yang grid system, characterized by two partially overlapped volume meshes that cover the Earth surface. The value of the Prandtl number (Pr) is defined by the fluid chemical composition and by its state (temperature and pressure), and is about 0.7 in the atmosphere. The turbulent Pr depends on the horizontal numerical resolution and changes with the turbulence. © 2007

本文言語English
ホスト出版物のタイトルParallel Computational Fluid Dynamics 2006
出版社Elsevier Ltd
ページ197-206
ページ数10
ISBN(印刷版)9780444530356
DOI
出版ステータスPublished - 2007
外部発表はい

ASJC Scopus subject areas

  • 化学工学(全般)

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