气象
氣象
기상
METEOROLOGICAL MONTHLY
2014年
6期
678-686
,共9页
高光谱%反演%不稳定%强对流
高光譜%反縯%不穩定%彊對流
고광보%반연%불은정%강대류
hyper-spectral%retrieval%instability%severe convection
提使用探空、NCEP-FNL数据和高光谱分辨率大气垂直探测仪(AIRS)标准反演数据计算大气不稳定度指数,对2011年6月23日北京强对流天气发生前的本地及上游大气中不稳定能量进行分析研究。分析发现:利用08、14和20时探空数据计算的北京站不稳定度指数显示了在“6·23暴雨”过程发生前后北京上空不稳定能量变化,上游关键区无探空数据;利用NCEP和AIRS数据计算的不稳定度指数显示,强对流天气发生前,在北京的上游关键区大气处于极端不稳定状态(K指数大于40,SI指数小于-5),有利于强对流天气发生。文章的研究结果表明,探空数据时空分辨率较低,不利于监测强对流天气的发生;质量控制后AIRS数据计算的不稳定度指数可以监测对流天气的发生;空间分辨率较低的NCEP 数据监测小范围大气不稳定层结能力较低。综上所述,AIRS反演产品具有弥补探空资料时空分辨率不足的优势,利用AIRS L2反演产品计算晴空大气不稳定度指数产品可以监测到“6·23暴雨”天气发生前上游关键区大气层结稳定度状态,为预报员决策提供有效的辅助信息。
提使用探空、NCEP-FNL數據和高光譜分辨率大氣垂直探測儀(AIRS)標準反縯數據計算大氣不穩定度指數,對2011年6月23日北京彊對流天氣髮生前的本地及上遊大氣中不穩定能量進行分析研究。分析髮現:利用08、14和20時探空數據計算的北京站不穩定度指數顯示瞭在“6·23暴雨”過程髮生前後北京上空不穩定能量變化,上遊關鍵區無探空數據;利用NCEP和AIRS數據計算的不穩定度指數顯示,彊對流天氣髮生前,在北京的上遊關鍵區大氣處于極耑不穩定狀態(K指數大于40,SI指數小于-5),有利于彊對流天氣髮生。文章的研究結果錶明,探空數據時空分辨率較低,不利于鑑測彊對流天氣的髮生;質量控製後AIRS數據計算的不穩定度指數可以鑑測對流天氣的髮生;空間分辨率較低的NCEP 數據鑑測小範圍大氣不穩定層結能力較低。綜上所述,AIRS反縯產品具有瀰補探空資料時空分辨率不足的優勢,利用AIRS L2反縯產品計算晴空大氣不穩定度指數產品可以鑑測到“6·23暴雨”天氣髮生前上遊關鍵區大氣層結穩定度狀態,為預報員決策提供有效的輔助信息。
제사용탐공、NCEP-FNL수거화고광보분변솔대기수직탐측의(AIRS)표준반연수거계산대기불은정도지수,대2011년6월23일북경강대류천기발생전적본지급상유대기중불은정능량진행분석연구。분석발현:이용08、14화20시탐공수거계산적북경참불은정도지수현시료재“6·23폭우”과정발생전후북경상공불은정능량변화,상유관건구무탐공수거;이용NCEP화AIRS수거계산적불은정도지수현시,강대류천기발생전,재북경적상유관건구대기처우겁단불은정상태(K지수대우40,SI지수소우-5),유리우강대류천기발생。문장적연구결과표명,탐공수거시공분변솔교저,불리우감측강대류천기적발생;질량공제후AIRS수거계산적불은정도지수가이감측대류천기적발생;공간분변솔교저적NCEP 수거감측소범위대기불은정층결능력교저。종상소술,AIRS반연산품구유미보탐공자료시공분변솔불족적우세,이용AIRS L2반연산품계산청공대기불은정도지수산품가이감측도“6·23폭우”천기발생전상유관건구대기층결은정도상태,위예보원결책제공유효적보조신식。
Using the instability index computed with radiosonde,NCEP-FNL data and hyper-spectral At-mospheric Infrared Sounding (AIRS)standard retrieval data,this paper analyzes the atmospheric instabili-ty 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 in-dex 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 spa-tial 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 un-stable 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 infor-mation for forecasters .