QX气象Meteorological Monthly1000-0526气象编辑部中国北京qx-40-6-67810.7519/j.issn.1000-0526.2014.06.004P456高光谱大气红外探测仪(AIRS)反演大气不稳定度指数在强对流天气个例中的应用试验Application Experiment of Instability Index Retrieved with Hyper-Spectral Atmospheric Infrared Sounding (AIRS) Data in Severe Convective Weather Case刘辉LIUHui
Using the instability index computed with radiosonde, NCEP-FNL data and hyper-spectral Atmospheric Infrared Sounding (AIRS) standard retrieval data, this paper analyzes the atmospheric instability before occurrence of the severe convective weather in Beijing on June 23, 2011. The findings suggest that the instability index computed with radiosonde shows the change of the unstable energy over Beijing before and after "the 23 June Storm", and no sounding data in the upstream key region. The instability index computed with AIRS and NCEP shows that upstream key region in Beijing is extremely unstable before the occurrence of the severe convective weather (K index is greater than 40, and SI index is equal to or less than -5), being conducive to the occurrence of severe convective weather. The research results of the paper show that the radiosonde data cannot monitor the severe convective weather because of its lower spatial and temporal resolution. After quality control the instability index calculated by AIRS data can be used in monitoring the occurrence of convective weather. The NCEP data with lower spatial resolution have weak capability in monitoring small-scale atmospheric unstable stratification. In summary, AIRS retrieval products have the advantage of high spatial and temporal resolution. We can monitor the atmosphere unstable energy accumulation of the upstream key areas before "the 23 June Storm" weather occurs by using the clear atmospheric instability index computed with AIRS L2 products, providing supplementary information for forecasters.
大气红外探测仪(the Atmospheric Infrared Sounder, AIRS)可以提供高垂直分辨率和高精度的大气温湿度三维结构(Chahine et al, 2006, Clerbaux et al, 2007, Smith et al, 2009)。本文利用探空、美国气象环境预报中心(National Centers for Environmental Prediction,NCEP)制作的最终分析(final analysis,FNL)数据和AIRS反演数据计算大气不稳定度指数,对北京2011年6月23日强对流天气发生前的大气不稳定能量进行分析研究,希望通过此次的典型个例分析和后续的多个例分析以及发现高光谱大气探测在强对流预报中的优势和不足,为将来合理使用静止气象卫星上的高光谱大气探测资料奠定基础,使其可以成为强对流短时预报的有效辅助工具,为提高强对流预报时效提供有力支撑。
SI computed with the AIRS retrieval products at 14:30 BT (a) and the NCEP-FNL data at 14:00 BT (b) 23 June 2011 and their corresponding FY-2E infrared images
AIRS retrieval products, NCEP reanalysis data (a), radiosonde atmospheric temperature and humidity profiles in the middle-lower troposphere of Beijing (b), and instability indices computed with the retrieval atmospheric profiles of AIRS, NCEP and radiosonde (c) during 08:00-20:00 BT 23 June 2011
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