项目名称: 中高层大气大尺度行星波及潮汐间非线性相互作用的观测与模拟研究
项目编号: No.41474127
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 天文学、地球科学
项目作者: 黄开明
作者单位: 武汉大学
项目金额: 90万元
中文摘要: 尽管应用地基和卫星观测数据以及GCM模式,广泛开展了行星波-潮汐和行星波-行星波相互作用的研究,但是,几乎所有研究都是利用傅里叶谱或双谱分析来证实相互作用确实发生。而这些大尺度波动相互作用的基本性质却不清楚,正如Pancheva [2006]所说,生成波的能量来源于那支初始波,还是一个开放问题;更无法理解的是,大量观测研究表明相互作用或发生、或选择性地发生、或不发生,其原因是什么?申请人系统研究了中小尺度重力波的非线性相互作用,对波波相互作用有深刻的理解。在该申请项目中,我们将结合非线性动力学模式和GCM模式以及实验观测数据,系统研究中高层大气中大尺度波动相互作用的性质。澄清相互作用中波能量传递方向;揭示控制相互作用能否有效发生的关键因素;辨明大尺度波动相互作用对波活动及背景大气的影响。从而深化对大尺度波动的动力学过程的理解。
中文关键词: 行星波;潮汐;非线性相互作用;数值模拟;雷达数据
英文摘要: Although nonlinear interactions among the planetary waves and tides were extensively studied based on data from ground-based and satellite observations and GCM, almost all of previous studies focused on the confirmation of nonlinear interaction by spectral or bispectral analysis. Hence, it keeps unclear for the basic features of nonlinear interactions among these large-scale waves, as Pancheva [2006] pointed out, it is still an open question: which initial wave does the energy of the new wave come from? More importantly, a large number of observational studies showed that the interaction took place, or selectively occurred, or did not happen. These complex phenomena of the interaction cannot be explained. Proposer systemically studied the nonlinear interaction between the middle and small-scale gravity waves, and had an insight into wave-wave interaction. In this study, combining nonlinear dynamical model and GCM and observational data, we will systemically research the properties of nonlinear interactions among the large-scale waves in the middle and upper atmosphere. The transfer direction of wave energy in interactions is clarified. The key factors controlling the effective energy exchange in interaction are revealed. The effects of interactions on the activity of the planetary and tidal waves and the structure of the background atmosphere are investigated. Therefore, this study is helpful for the understanding of dynamical processes of the large-scale waves.
英文关键词: planetary waves;tides;nonlinear interaction;numerical simulation;data from radar and lidar