Research Article
Automatic Tracking and Characterization of Cumulonimbus Clouds from FY-2C Geostationary Meteorological Satellite Images
Table 2
Cloud characteristics derived from geostationary imagery.
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TB1, TB2, and TBWV are the brightness temperature (TB) of three infrared (IR) channels (IR1, 10.3–11.3 m; IR2, 11.5–2.5 m; and WV 6.3–7.6 μm), respectively; is the cloud type on the current () image, and is the corresponding cloud type on the previous () image; is typically 1 hour. () is the center of Cb patch. The center of the Cb patch can be the geometric center () or the gravitational center (); is the number of pixels in a Cb patch; is the number of pixels on the boundary of a Cb patch; is the geometric momentum of a cloud patch, and is the geometric momentum of a round patch with the same size; PERI is the perimeter of a cloud patch, and PERI0 is the perimeter of a round patch with the same area; is the distance between the focus and the center of cloud patch, and is the length of the long axis; is the distance from pixel on the Cb cloud patch boundary to the corresponding position on the warmer cloud patch boundary; is the distance from pixel on the boundary to the shooting top (PD). *Hong et al. [48] extracted the following additional parameters: compactness, mean value of local standard deviation of cloud patch (MSTDS), and gray images' texture (angular second moment, contrast, entropy, etc.). **Arnaud et al. [12] extracted the following additional parameters: maximum length, maximum width, volume index, position of the front edge, and angle between the principal axis of the cloud and the -axis. ***Machado et al., [29] extracted the following additional parameters: area overlap fraction with possible antecedent, average (weighted) difference of all parameters. The dynamical features refer to the MCSs over America. ****Xu et al. [49] extracted the following additional parameters: maximum temperature difference from IR threshold, mean temperature difference from IR threshold, and maximum entropy. |