葵花8号卫星在白云机场一次强对流冰雹中的监测应用

Application of Himawari-8 Satellite Monitoring a Progress of Severe Convection and Hail at Baiyun Airport

针对2019年2月21日强对流冰雹过程,采用广东省多普勒雷达拼图的组合反射率因子资料作参考真值,分别利用葵花8号卫星资料的11.2μm通道与7.0μm通道亮温差拟合和11.2μm通道、7.0μm通道分段拟合对雷达回波进行反演,发现在强对流(回波强度≥35 dBZ)识别上,11.2μm通道、7.0μm通道分段线性拟合比亮温差线性拟合效果要好,非强对流点识别成强对流点的情况较少。利用归一化后的葵花8号卫星数据计算雹暴指数结合广州白云机场雷达冰雹产品,得到降雹概率80%以上的卫星遥感监测指标。

Himawari-8 satellite data was used to monitor the process of severe convection and hail on February 21st,2019.The combined reflectivity factor data of Doppler concatenation of radar echo images in Guangdong province is used here as the reference truth value,the brightness temperatures of 11.2μm channel and 7.0μm channel were fitted to invert radar echoes,as well as their difference.It was found that 11.2μm channel and 7.0μm channel segment fitting could identify less weak echoes into strong echoes(≥35 dBZ).The hail storm index was calculated by normalized Himawari-8 satellite data combining with the radar hail products of Baiyun Airport in Guangzhou,and the satellite remote sensing monitoring index of hail more than 80%probability.