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| 基于Z-I关系和变分校正法改进雷达估测降水 | |
| 引用本文： | 马慧,万齐林,陈子通,林振敏,陈桢华,吴嘉豪.基于Z-I关系和变分校正法改进雷达估测降水[J].热带气象学报,2008,24(5):546-549. |
| 作者姓名： | 马慧 万齐林 陈子通 林振敏 陈桢华 吴嘉豪 |
| 作者单位： | 1. 中山市气象局,广东,中山,5284011 2. 中国气象局广州热带海洋气象研究所,广东,广州,510080 3. 广西区气象减灾研究所,广西,南宁,530022 |
| 基金项目： | 中国气象局科技攻关项目，广东省气象科研项目，广东省科技局科研项目 |
| 摘 要： | 将新回归系数估计法和新误差订正法应用于3 km的雷达CAPPI估测降水,首先用新的回归方法得出更合理的Z-I关系;再用基于变分技术的新的误差订正方法对估算出的降水进行订正,获得较好的估算结果,并且用2005年6月17～25日广东自动站降水和每6分钟一次的雷达基数据对新回归系数估计法和新误差订正法进行验证,结果表明:将新回归系数估计法和新误差订正法用于雷达估测降水,能更好地对雷达回波强度估算降水的一些常见误差进行校订. |
| 关 键 词： | 新的回归系数估计法 新的误差订正方法 估测降水 减小误差 |
| 收稿时间： | 2007/4/30 0:00:00 |
| 修稿时间： | 2008/3/20 0:00:00 |
IMPROVING RAINFALL ESTIMATION BY RADAR BASED ON Z-I RELATION AND VARIATION-CALIBRATION METHOD |
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| MA Hui,WAN Qi-lin,CHEN Zi-tong,LIN Zhen-min,CHEN Zhen-hua and WU Jia-hao.IMPROVING RAINFALL ESTIMATION BY RADAR BASED ON Z-I RELATION AND VARIATION-CALIBRATION METHOD[J].Journal of Tropical Meteorology,2008,24(5):546-549. | |
| Authors: | MA Hui WAN Qi-lin CHEN Zi-tong LIN Zhen-min CHEN Zhen-hua and WU Jia-hao |
| Institution: | Zhongshan Meteorological Bureau, Zhongshan 528401, China;Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China;Guangzhou Institute of Tropical and Marine Meteorology, CMA, Guangzhou 510080, China;Guangxi Meteorology Disaster-Mitigation Institute, Nanning 530022, China;Zhongshan Meteorological Bureau, Zhongshan 528401, China;Zhongshan Meteorological Bureau, Zhongshan 528401, China |
| Abstract: | In order to estimate rainfall by using the CAPPI of 3-km radars,a new regression coefficient estimation and a new method for errors correction are used. Firstly,using the new regression estimation is used to obtain a more reasonable relation of Z-I. Then the estimated precipitation is corrected with the new method of errors correction. The two new methods are verified by using rainfall data from automatic weather stations in Guangdong province and base data of radar available once every 6 minutes for the period from June 17 to 25,2005. The results indicate that estimating the rainfall with the new regression coefficient estimation and the new correction method of errors is better than the normal methods. |
| Keywords: | new regression coefficient estimation new correction method of errors rainfall estimation reduction of errors |
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