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％。
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.
出处
《安徽农业科学》
CAS
北大核心
2009年第18期8583-8586,共4页
Journal of Anhui Agricultural Sciences
关键词
FISHER准则
雷达
自动雨量站
识别降水
Fisher criteria
Radar
Automatic rain gauge
Precipitation identification
