大气科学2011，Vol.35Issue(5)：818-832,15.
SVD-En3DVar方法同化多普勒雷达速度观测资料Ⅱ.实际资料试验
Assimilation of Doppler Radar Velocity Observations with SVD-En3DVar Method.Part Ⅱ: Real Data Experiments
摘要
Abstract
In part I of this study (Xu et al. , 2011), The ensemble-based 3DVar (three-dimensional variational technique) method with SVD (singular value decomposition) technique (SVD-En3DVar) is used for assimilation of the simulated radar velocity data and the results demonstrate that using the initial perturbation samples produced with 3DVar method in SVI>En3DVar can shorten the time interval of assimilation cycle and improve the short-term forecast of precipitation. In the current study the feasibility of using SVD-En3DVar for assimilating radar velocity observations is tested with the real observational data. Two torrential rain cases (June 2008 in South China and July 2003 in the Changjiang- Huaihe region) are chosen for the test and the 18-hour forecast of rainfall is compared with that by WRF-3DVar (3I)Var based on the weather research forecasting model) assimilation. For the first case (2008)the observational data from 13 radars are assimilated and the forecast of rainfall within 18 hours is improved after assimilation with SVD-En3DVar, but the improvement is not evident with WRF-3DVar assimilation. For the second case (2003), only single-radar observations are used and the forecast of rainfall is improved in the first 6 hours after assimilation with SVI>En3DVar, however the forecasts are not improved by using either SVD-En3DVar or WRF-3DVar in the subsequent 12 hours.关键词
Doppler雷达/集合同化/3DVar/SVDKey words
Doppler radar, ensemble 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Ⅱ.实际资料试验[J].大气科学,2011,35(5):818-832,15.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 （）
