| 基于Fisher判别准则的雷达产品识别降水方法 |
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| 引用本文： | 袁野,邵洋,李爱华,李建邦.基于Fisher判别准则的雷达产品识别降水方法[J].安徽农业科学,2009,37(18):8583-8586. |
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| 作者姓名： | 袁野 邵洋 李爱华 李建邦 |
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| 作者单位： | 安徽省人工影响天气办公室,安徽合肥,230031 |
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| 摘 要： | 利用2006-2007年合肥多普勒天气雷达和安徽省全省自动雨量站的较长时间序列观测数据，基于Fisher多因子二级判别方法建立判别函数，以雷达产品数据作为预报因子来识别降水。结果表明，春、秋季和夏季的雷达产品数据与自动雨量数据具有较好的相关性；Fisher判别函数对降水的识别准确率较高，雨天的历史回报准确率分别达到76.16％和82.38％。
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| 关 键 词： | Fisher准则 雷达 自动雨量站 识别降水 |
Method for Precipitation Identification Based on Radar Product according to Fisher Criteria |
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| Institution: | YUAN Ye et al (Anhui Weather Modification Office, Hefei, Anhui 230031 ) |
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| Abstract: | Using Hefei doppler weather radar and automatic rain gauge data in Anhui Province during 2006-2007,precipitation identification based on radar product was studied according to Fisher Criteria with multiple factors and two classes.The results showed that tolerable correlation between radar product and automatic rain gauge data existed in spring,autumn and summer.Good precipitation identification according to Fisher Criteria was gained,and the statistical precipitating validity rate of historical retrieve was up to 76.16% and 82.38%,respectively. |
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| Keywords: | Fisher criteria Radar Automatic rain gauge Precipitation identification |
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