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基于COSMIC的平流层重力波参数分析
引用本文:王一洲,黄莹莹,李汇军,李崇银.基于COSMIC的平流层重力波参数分析[J].空间科学学报,2019,39(3):326-341.
作者姓名:王一洲  黄莹莹  李汇军  李崇银
作者单位:国防科技大学气象海洋学院 南京211101;中国人民解放军32103部队 潍坊261000;国防科技大学气象海洋学院 南京211101;中山大学大气科学学院 珠海519082;南京航空航天大学航天学院 南京210016;国防科技大学气象海洋学院 南京211101;中国科学院大气物理研究所 北京100029
基金项目:国家自然科学基金项目(41504118),江苏省自然科学基金项目(BK20150709)和中国人民解放军理工大学预研项目共同资助
摘    要:基于COSMIC卫星观测的2006年12月29日到2008年1月3日30°-40°N纬度内的温度剖面,分别利用垂直滑动窗、双滤波器和单滤波器三种方法计算低平流层重力波的扰动和势能,获得重力波扰动和势能随高度、经度的分布以及多时间尺度变化特性,分析重力波扰动势能与背景温度及风场的变化趋势和特点.比较三种方法得到的结果发现:垂直滑动窗方法只能去除大垂直尺度的背景,无法抑制小尺度的扰动,其得到的结果误差较大;双滤波器法对温度剖面中的大尺度背景和小尺度扰动都能很好地抑制;单滤波器法得到的重力波扰动中基本不包含垂直方向的大尺度背景,但是包含一些小垂直尺度的扰动.因此,对于垂直波长为10km左右的重力波,采用双滤波器法合适;如果需要得到小尺度重力波的变化特性,采用单滤波器法合适.采用双滤波器法无法得到势能随高度的变化,而采用单滤波器法能够给出每月势能随高度的分布.对30°-40°N纬度内的重力波参数进行统计分析得到重力波扰动、势能与背景温度和水平风场的关系. 

关 键 词:重力波  平流层  COSMIC掩星观测  势能  时空变化
收稿时间:2018-05-29

Analysis of Stratospheric Gravity Wave Parameters Based on COSMIC Observationsormalsize
Institution:1. College of Meteorology and Oceanography, National University of Defense Technology, Nanjing 211101;2. 32103 Troops, the Chinese People's Libration Army, Weifang 261000;3. School of Atmospheric Sciences, Sun Yat-Sen University, Zhuhai 519082;4. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016;5. Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
Abstract:Using the temperature profiles between 30°N and 40°N latitude observed by COSMIC satellites from 29 December 2006 to 3 January 2008, the disturbances and potential energy (Ep) of Gravity Waves (GWs) in lower stratosphere are calculated by vertical running windows method, double-filter method and single-filter method, respectively. The altitude and longitude distributions, and multi-time scale variations of these parameters are obtained. The spatial characteristics of background temperature and horizontal wind fields are analyzed to investigate the possible origins of GWs. The disturbances and potential energy (Ep) of GWs in lower stratosphere obtained by the above three methods are compared. The results are as follows. The errors of GW perturbations calculated by vertical running windows method are relatively large, because it can only remove the disturbances with large vertical scales, while can not remove small vertical scales in derived GW disturbances. The double-filter can well suppress both large-scale background and small-scale disturbances in temperature profiles. GW disturbances obtained by a single-filter does not include large vertical scale background, but still contain some small vertical scale disturbances. The double-filter method cannot obtain altitude variations of Ep, while the single-filter method can give altitude variations of monthly averaged Ep. The relationships between GWs' parameters (including disturbances and Ep) and background temperature and horizontal wind fields are revealed. 
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