TRAM: A New Nonhydrostatic Fully Compressible Numerical Model Suited for All Kinds of Regional Atmospheric Predictions

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Quarterly Journal of the Royal Meteorological Society Pub Date : 2023-12-08 DOI:10.1002/qj.4639
R. Romero
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引用次数: 1

Abstract

A new limited-area numerical model (TRAM, for Triangle-based Regional Atmospheric Model) has been built using a nonhydrostatic and fully compressible version of the Navier-Stokes equations. Advection terms are solved using a Reconstruct-Evolve-Average (REA) strategy over the computational cells. These cells consist of equilateral triangles in the horizontal. The classical z-coordinate is used in the vertical, allowing arbitrary stretching (e.g. higher resolution in the Planetary Boundary Layer, PBL). Proper treatment of terrain slopes in the bottom boundary conditions allows for representing accurately the orographic forcing. To gain computational efficiency, time-splitting is used to integrate separately fast and slow terms and acoustic modes in the vertical are solved implicitly. For real cases on the globe, the Lambert map projection is applied, and all Coriolis and curvature terms are retained. No explicit filters are needed.
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TRAM:适用于各种区域大气预测的新型非静水压全压缩数值模式
利用纳维-斯托克斯方程的非流体静力学和完全可压缩版本,建立了一个新的有限区域数值模型(TRAM,即基于三角形的区域大气模型)。在计算单元上采用重建-演化-平均(REA)策略解决平流项。这些单元由水平等边三角形组成。垂直方向使用传统的 Z 坐标,允许任意拉伸(例如,提高行星边界层的分辨率)。在底部边界条件中对地形坡度进行适当处理,可以准确地表示地貌作用力。为了提高计算效率,采用时间分割法对快速和慢速项分别进行积分,并对垂直方向的声学模式进行隐式求解。对于地球上的实际情况,采用兰伯特地图投影,并保留所有科里奥利和曲率项。不需要明确的滤波器。
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来源期刊
CiteScore
16.80
自引率
4.50%
发文量
163
审稿时长
3-8 weeks
期刊介绍: The Quarterly Journal of the Royal Meteorological Society is a journal published by the Royal Meteorological Society. It aims to communicate and document new research in the atmospheric sciences and related fields. The journal is considered one of the leading publications in meteorology worldwide. It accepts articles, comprehensive review articles, and comments on published papers. It is published eight times a year, with additional special issues. The Quarterly Journal has a wide readership of scientists in the atmospheric and related fields. It is indexed and abstracted in various databases, including Advanced Polymers Abstracts, Agricultural Engineering Abstracts, CAB Abstracts, CABDirect, COMPENDEX, CSA Civil Engineering Abstracts, Earthquake Engineering Abstracts, Engineered Materials Abstracts, Science Citation Index, SCOPUS, Web of Science, and more.
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