基于FY-2D的新疆强对流云的识别

利用2007-2013年新疆的十场强对流天气过程以及与之相应的FY-2D静止气象卫星数据，分析了强对流云红外一通道、红外二通道、水汽通道及通道差的光谱特征，提取强对流云团样本点，采用统计方法确定判识指标的阈值范围，构建多通道多阈值判识方法。利用三场天气过程的地面实测降水资料分别验证了单时次和整场天气过程强对流云判识的准确性，结果表明：单时次强对流云的识别区域与发生降雨台站一致的准确率为83%；在整个天气过程中，强对流频次分布与降水实况吻合度较高，说明随着对流云团的移动和发展，判识区域与地面降水区域保持一致，验证了判识方法有效，阈值选取合理，可以为监测暴雨天气系统的发生、发展提供支持。

Identification of strong convective cloud in Xinjiang using FY-2D stationary meteorological satellite data

Using data collected by FY-2D stationary meteorological satellite on 10 rainfall processes occurred in 2007-2013, we analyzed spectrum features of strong convective clouds in infrared channel one and two, water vapor channel and channel difference. We also established difference threshold method on difference channels for identifying convective clouds based on statistical analysis of a set of sample data we extracted. Furthermore, we verified this method for identification of strong convective cloud in single time point and whole rainfall process respectively, with comparison of real measured values during three strong rainfall processes. Our results showed that predicted strong convective cloud area at single time point was consistent with real measured values, with 83% accuracy. In the whole rainfall process, frequency distribution of strong convective cloud was highly consistent with real precipitation. The data indicate that our identification method can effectively predict movement and development of convective clouds with appropriate thresholds selection, and be of guiding significance for monitoring weather development.