大气科学2011，Vol.35Issue(4)：753-766,14.
SVD-En3DVar方法同化多普勒雷达速度观测资料Ⅰ.模拟资料试验
Assimilation of Doppler Radar Velocity Observations with SVD-En3DVar Method Part Ⅰ: Simulated Data Experiments
摘要
Abstract
The ensemble-based 3DVar (three-dimensional variational technique) method with SVD (singular value decomposition) technique (SVD-En3DVar) is used to assimilate simulated Doppler radial velocity observations. A localization scheme is introduced to the method to reduce spurious error covariance among distant points. The impact of different methods of producing initial perturbation and integration time lengths for forecast samples on the assimilation is emphatically investigated. A new scheme producing initial perturbation samples is proposed. This scheme takes the pseudo-random perturbation fields of temperature and specific humidity as the observation innovation and a 3DVar system is utilized to yield the initial perturbation fields of all variables from the observation innovation. Experiments using the simulated observations by WRF( weather research forecasting) model demonstrate that in the initial perturbation fields produced by using the new scheme the compatibility between different variables is better and the perturbation will not decay quickly in the forecast, so the spin-up time is cut down and the time interval of as-similation cycle can be shortened The forecasts of temperature, humidity, horizontal wind, and rainfall within 12 hours are improved after assimilating the radar velocity data.关键词
多普勒雷达/集合/资料同化/3DVar SVDKey words
Doppler radar, ensemble, data assimilation, 3Dvar, SVD分类
天文与地球科学引用本文复制引用
徐道生,邵爱梅,邱崇践..SVD-En3DVar方法同化多普勒雷达速度观测资料Ⅰ.模拟资料试验[J].大气科学,2011,35(4):753-766,14.基金项目
国家自然科学基金资助项目40875063,兰州大学中央高校基本科研业务费专项资金资助项目lzujbky-2010-9 （）
