气象2012，Vol.38Issue(5)：513-525,13.
集合卡尔曼滤波同化多普勒雷达资料的观测系统模拟试验
Assimilation of Doppler Radar Observations with an Ensemble Kalman Filter：OSS Experiments
摘要
Abstract
The feasibility and availability of applying ensemble Kalman filter（EnKF） technique in convective scale systems were demonstrated by an observation system simulation experiment（OSSE） in this paper, which assimilates simulated radial velocity and reflectivity of one Doppler radar with an EnKF assimilation system based on WRF model.The experiment shows：the assimilation system has the ability to accurately analyze the detailed characters of flow fields,thermodynamic and microphysical fields of the storm,forecast and analysis errors of almost all variables decrease significantly after assimilation cycles, and forecast fields of all levels can be improved by assimilation,especially on levels of larger errors.Reliable correlativity between radar reflectivity,radial velocity observations and forecast fields can be established after 8 assimilation cycles,and the background error covariance has a complex structure and is highly inhomogeneous,anisotropic and flow-dependent.Determinate forecast of ensemble mean field can keep the detail characters of truth storm in short period but errors grow fast.关键词
集合卡尔曼滤波/雷达资料同化/背景场误差/观测系统模拟试验（OSSE）Key words
ensemble Kalman filter/radar data assimilation/background error covariance/observation system simulation experiment(OSSE)分类
天文与地球科学引用本文复制引用
秦琰琰,龚建东,李泽椿..集合卡尔曼滤波同化多普勒雷达资料的观测系统模拟试验[J].气象,2012,38(5):513-525,13.基金项目
国家自然科学基金青年基金 （）
海洋公益性行业科研专项 （）
十二五科技支撑计划项目 （）
973计划项目 （）
国家科技部863项目（2008AA09A404-2）联合资助 （）
