Case-based retrieval method by multiple sensor data for lightning flash
Case-based retrieval method by multiple sensor data for lightning flash
复制标题
基于实例的闪电多传感器数据检索方法
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Shin
中科院分区：
文献类型：
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作者：
W. Kise;M. Ito;A. Mitsuishi;Y. Kosuge;F. Asano;Shin
为了防止雨、云、雷、飑等自然现象造成的损害，我们采用气象雷达进行观测。近年来，对自然现象更准确信息的需求不断增加，因为分析观测数据以进行预测变得越来越重要。我们提出了一种基于案例检索的闪电预报支持系统。系统监视雷云的变化，检索气象特征的相似案例。通过将该方法应用到闪电观测系统中，我们得到了有效性。
In order to prevent the damages caused by natural phenomena, such as, rain, cloud, lightning and squall, we use meteorological radars for the observation. In recent years, the demand is increasing for more accurate information for natural phenomena, since it is becoming more important to analyze the observation data for the forecast. We propose a forecast support system based on case-based retrieval for lightning flash. The system watches the change of thundercloud, and retrieves the similar cases of meteorological features. By applying this method to a lightning observation system, we could obtain the validity.