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| Assimilation of Doppler Radar Observations with an Ensemble Square Root Filter：A Squall Line Case Study | |
| 作者姓名： | QIN Yanyan GONG Jiandong LI Zechun SHENG Rifeng |
| 作者单位： | National Marine Environment Forecast Center, Beijing 100081;Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecast Center, Beijing 100081;Center for Numerical Weather Prediction, CMA, Beijing 100081;National Meteorological Center, CMA, Beijing 100081;Weather Modification Office of People's Government of Shandong, Jinan 250031 |
| 基金项目： | Supported by the National Natural Science Foundation of China (41105067), National High Technology Research and Development Program of China (2013AA09A506-5), and Special Scientific Reserch Fund of Marin Public Welfare Profession of China (201305032-2). |
| 摘 要： | The effectiveness of using an Ensemble Square Root Filter（EnSRF） to assimilate real Doppler radar observations on convective scale is investigated by applying the technique to a case of squall line on 12July 2005 in midwest Shandong Province using the Weather Research and Forecasting（WRF） model.The experimental results show that：（1） The EnSRF system has the potential to initiate a squall line accurately by assimilation of real Doppler radar data.The convective-scale information has been added into the WRF model through radar data assimilation and thus the analyzed fields are improved noticeably.The model spin-up time has been shortened,and the precipitation forecast is improved accordingly.（2） Compared with the control run,the deterministic forecast initiated with the ensemble mean analysis of EnSRF produces more accurate prediction of microphysical fields.The predicted wind and thermal fields are reasonable and in accordance with the characteristics of convective storms.（3） The propagation direction of the squall line from the ensemble mean analysis is consistent with that of the observation,but the propagation speed is larger than the observed.The effective forecast period for this squall line is about 5-6 h,probably because of the nonlinear development of the convective storm. |
| 关 键 词： | 多普勒天气雷达 平方根滤波 雷达观测 资料同化 飑线 强对流风暴 WRF模式 定性预测 |
| 收稿时间： | 2013/10/23 0:00:00 |
| 修稿时间： | 2014/1/12 0:00:00 |
Assimilation of Doppler radar observations with an ensemble square root filter: A squall line case study |
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| QIN Yanyan,GONG Jiandong,LI Zechun,SHENG Rifeng.Assimilation of Doppler radar observations with an ensemble square root filter: A squall line case study[J].Acta Meteorologica Sinica,2014,28(2):230-251. | |
| Authors: | QIN Yanyan GONG Jiandong LI Zechun and SHENG Rifeng |
| Institution: | 1. National Marine Environment Forecast Center, Beijing, 100081, China 2. Key Laboratory of Research on Marine Hazards Forecasting, National Marine Environmental Forecast Center, Beijing, 100081, China 3. Center for Numerical Weather Prediction, CMA, Beijing, 100081, China 4. National Meteorological Center, CMA, Beijing, 100081, China 5. Weather Modification Office of People’s Government of Shandong, Jinan, 250031, China |
| Abstract: | The effectiveness of using an Ensemble Square Root Filter (EnSRF) to assimilate real Doppler radar observations on convective scale is investigated by applying the technique to a case of squall line on 12 July 2005 in midwest Shandong Province using the Weather Research and Forecasting (WRF) model. The experimental results show that: (1) The EnSRF system has the potential to initiate a squall line accurately by assimilation of real Doppler radar data. The convective-scale information has been added into the WRF model through radar data assimilation and thus the analyzed fields are improved noticeably. The model spin-up time has been shortened, and the precipitation forecast is improved accordingly. (2) Compared with the control run, the deterministic forecast initiated with the ensemble mean analysis of EnSRF produces more accurate prediction of microphysical fields. The predicted wind and thermal fields are reasonable and in accordance with the characteristics of convective storms. (3) The propagation direction of the squall line from the ensemble mean analysis is consistent with that of the observation, but the propagation speed is larger than the observed. The effective forecast period for this squall line is about 5–6 h, probably because of the nonlinear development of the convective storm. |
| Keywords: | radar data assimilation ensemble square root filter squall line |
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