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Objective Measures of Tropical Cyclone Intensity and Formation from Satellite Infrared Imagery

机译:卫星红外图像对热带气旋强度和形成的客观测量

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摘要

This document proposes an objective technique to estimate the intensity and predict the formation of tropical cyclones using infrared satellite imagery. As the tropical cyclone develops from an unstructured cloud cluster and intensifies the cloud structures become more axisymmetric around an identified reference point or center. This methodology processes the image gradient to measure the level of symmetry of cloud structures, which characterizes the degree of cloud organization of the tropical cyclone.The center of a cloud system is calculated by projecting and accumulating parallel lines to the gradient vectors. The point where the highest number of line intersections is located pinpoints a common point where the corresponding gradients are directed. This location is used as the center of the system. Next, a procedure that characterizes the departure of the weather system structure from axisymmetry is implemented. The deviation angle of each gradient vector relative to a radial line projected from the center is calculated. The variance of the set of deviation angles enclosed by a circular area around the center describes the axisymmetry of the system, and its behavior through time depicts its dynamics. Results are presented that show the time series of the deviation angle variances is well correlated with the National Hurricane Center best-track estimates.The formation of tropical cyclones is detected by extending the deviation-angle variance technique, it is calculated using every pixel in the scene as the center of the cloud system. Low angle variances indicate structures with high levels of axisimmetry, and these values are compared to a set of thresholds to determine whether a cloud structure can be considered as a vortex. The first detection in a sequence indicates a nascent storm. It was found that 86% of the tropical cyclones during 2004 and 2005 were detected 27 h on average before the National Hurricane Center classified them as tropical storms (33kt).Finally, two procedures to locate the center of a tropical cyclone are compared to the National Hurricane Center best-track center database. Results show that both techniques provide similar accuracy, which increases as the tropical cyclone evolves.
机译:该文件提出了一种客观技术,利用红外卫星图像估算强度并预测热带气旋的形成。随着热带气旋从无结构的云团发展并加剧,围绕确定的参考点或中心的云结构变得更加轴对称。该方法通过处理图像梯度来测量云结构的对称性水平,从而表征热带气旋的云组织程度。通过投影和累积平行于梯度矢量的线来计算云系统的中心。线交点数量最多的点精确定位了指向相应渐变的公共点。该位置用作系统的中心。接下来,执行表征天气系统结构偏离轴对称的过程。计算每个梯度矢量相对于从中心投影的径向线的偏角。由围绕中心的圆形区域包围的一组偏离角的方差描述了系统的轴对称性,其随时间的行为描述了其动力学。结果表明,偏差角方差的时间序列与国家飓风中心最佳径迹估计有很好的相关性。通过扩展偏差角方差技术来检测热带气旋的形成,并利用大气中的每个像素进行计算。场景作为云系统的中心。低角度方差表示具有高水平轴对称性的结构,并且将这些值与一组阈值进行比较,以确定是否可以将云结构视为涡旋。序列中的第一次检测表明正在出现暴风雨。据发现,在2004年和2005年之前,在国家飓风中心将其归类为热带风暴(33kt)之前,平均检测到热带气旋的时间为27小时。最后,将两个确定热带气旋中心的程序与国家飓风中心最佳跟踪中心数据库。结果表明,两种技术都提供相似的精度,随着热带气旋的发展而增加。

著录项

  • 作者

    Pineros Miguel F.;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 EN
  • 中图分类

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