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| 卫星资料的非线性反演同化与一次强降水预报试验 | |
| 引用本文： | 胡文东,沈桐立,丁建军,刘建军,陆晓静,陈晓娟,王承伟.卫星资料的非线性反演同化与一次强降水预报试验[J].高原气象,2006,25(2):249-258. |
| 作者姓名： | 胡文东 沈桐立 丁建军 刘建军 陆晓静 陈晓娟 王承伟 |
| 作者单位： | 1. 南京信息工程大学,江苏,南京,210044;宁夏气象防灾减灾重点实验室,宁夏,银川,750002;宁夏气象台,宁夏,银川,750002 2. 南京信息工程大学,江苏,南京,210044 3. 宁夏气象防灾减灾重点实验室,宁夏,银川,750002;宁夏气象台,宁夏,银川,750002 4. 宁夏气象防灾减灾重点实验室,宁夏,银川,750002 5. 宁夏气象台,宁夏,银川,750002 6. 南京信息工程大学,江苏,南京,210044;黑龙江气象台,黑龙江,哈尔滨,150030 |
| 基金项目： | 国家重点基础研究项目(2004CB418301)，国家自然科学基金项目(40075023)资助 |
| 摘 要： | 利用地球同步气象卫星红外资料,通过优选BP人工神经网络和最优拟合回归这两种非线性方法,建立了反演宁夏大气相对湿度场的数学模型。反演湿度场经过变分同化与质量控制后,代入中尺度数值预报模式MM5,对一次突发性强降水过程进行了预报试验。结果表明,使用该资料后,数值预报模式对这次突发强降水过程的预报能力明显提高,模式输出产品具有预报指示意义,spin-up问题得到了一定程度的改进。 |
| 关 键 词： | 气象卫星红外资料 非线性反演 变分同化 质量控制 强降水预报试验 |
| 文章编号： | 1000-0534（2006）02-0249-10 |
| 收稿时间： | 2004-04-06 |
| 修稿时间： | 2004-04-062004-08-02 |
Non-Linear Retrieval and Assimilation of Satellite Data and Forecasting Experiment of a Severe Precipitation |
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| HU Wen-dong,SHEN Tong-li,DING Jian-jun,LIU Jian-jun,LU Xiao-jing,CHEN Xiao-juan,WANG Cheng-wei.Non-Linear Retrieval and Assimilation of Satellite Data and Forecasting Experiment of a Severe Precipitation[J].Plateau Meteorology,2006,25(2):249-258. | |
| Authors: | HU Wen-dong SHEN Tong-li DING Jian-jun LIU Jian-jun LU Xiao-jing CHEN Xiao-juan WANG Cheng-wei |
| Institution: | 1. Nanjing University of Information Science and Technology, Nanjing 210044, China; 2. Key Laboratory of Meteorological Disaster Preventing and Reducing of Ningxia, Yinchuan 750002, China 3. Ningxia Meteorological Observatory, Yinchuan 750002, China; 4. Heilongjiang Meteorological Observatory, Harbin 150030, China |
| Abstract: | The geostationary meteorological satellite infrared data were applied to retrieve the relative humidity at different levelsof atmosphereusing the surface observation and sonde data.Two different nonlinear methods to retrieve humidity were developed using the optimal artificial neural network and non-linear regression after optimal fitting transform.The retrievedrelativehumidity was putinto mesoscale nonhydrostatic numerical weather forecast model MM5 after variation analysis and quality control,and a severe convection event was analyzed with the retrieved relative humidity.The precipitation forecast was improved in quantityeminently,the forecasted severe convection area was consistent with the observation,and the spin-up was reduced as much as 25%.The experiment showsthatthe implement of satellite-retrieved humidity enhanced the ability of numerical model to forecast severe convection in Ningxia. |
| Keywords: | Meteorological satellite infrared data Non-linear retrieval Quality control Severe precipitation forecasting experiment |
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