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Application of Meteosat SEVIRI channel difference 0.6 μm-1.6 μm in convective cells detection

机译:Meteosat SEVIRI通道差0.6μm-1.6μm在对流细胞检测中的应用

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摘要

Convective cells detecting algorithms, used in operational weather services, are frequently based on single infrared channel data. Due to many disadvantages of these methods, an attempt is made to introduce the difference of Meteosat SEVIRI channels 0.6 μm and 1.6 μm as a tool for automatic recognition of convective clouds. The differences of reflectance values of the two channels were calculated for numerous cases and the results were visually compared to radar reflectivity data. The comparison shows that all potentially dangerous cells are detected which means promising and operationally applicable result. Due to the fact that satellite radiometer sees particles of a much smaller size than the radar does, the difference method suggested here enables the recognition of small developing cells several time-steps (up to 1 h) before they are seen in the radar imagery, provided that a proper threshold is set for the difference values. This enables the detection of convective cells in the areas not covered by radar measurements. It is also shown that the detection provided by the channel difference method is much more precise and detailed than the detection based on the IR channel data. The main disadvantage of the method is the fact that it can be used only during day-time so the night-time convection needs to be treated separately.
机译:在运营气象服务中使用的对流细胞检测算法通常基于单个红外通道数据。由于这些方法的许多缺点,尝试引入Meteosat SEVIRI通道的差异0.6μm和1.6μm作为自动识别对流云的工具。计算了许多情况下两个通道的反射率值的差异,并将结果与​​雷达反射率数据进行了直观比较。比较表明,所有潜在危险的电池都被检测到,这意味着有希望的和可操作的结果。由于卫星辐射计能看到比雷达小得多的粒子,因此,本文提出的差分方法可以在雷达影像中看到几个小时(最多1小时)的时间步长之前识别出小的发育中的细胞,只要为差异值设置适当的阈值。这使得能够在雷达测量未覆盖的区域中检测对流单元。还显示出,与基于IR信道数据的检测相比,由信道差方法提供的检测更加精确和详细。该方法的主要缺点是只能在白天使用,因此夜间对流需要单独处理。

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