{"title":"利用WSR-88D天气雷达反演雷暴峰值风速","authors":"I. Ibrahim, G. Kopp, D. Sills","doi":"10.1175/jtech-d-22-0028.1","DOIUrl":null,"url":null,"abstract":"\nThe current study develops a variant of the VAD method to retrieve thunderstorm peak event velocities using low-elevation WSR-88D radar scans. The main challenge pertains to the localized nature of thunderstorm winds which complicates single-Doppler retrievals as it dictates the use of a limited spatial scale. Since VAD methods assume constant velocity in the fitted section, it is important that retrieved sections do not contain background flow. Accordingly, the current study proposes an image processing method to partition scans into regions, representing events and the background flows, that can be retrieved independently. The study compares the retrieved peak velocities to retrievals using another VAD method. The proposed technique is found to estimate peak event velocities that are closer to measured ASOS readings, making it more suitable for historical analysis. The study also compares the results of retrievals from over 2600 thunderstorm events from 19 radar-ASOS station combinations that are less than 10 km away from the radar. Comparisons of probability distributions of peak event velocities for ASOS readings and radar retrievals showed good agreement for stations within 4 km from the radar while more distant stations had a higher bias towards retrieved velocities compared to ASOS velocities. The mean absolute error for velocity magnitude increases with height ranging between 1.5 and 4.5 m s−1. A proposed correction based on the exponential trend of mean errors was shown to improve the probability distribution comparisons, especially for higher velocity magnitudes.","PeriodicalId":15074,"journal":{"name":"Journal of Atmospheric and Oceanic Technology","volume":" ","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Retrieval of Peak Thunderstorm Wind Velocities using WSR-88D Weather Radars\",\"authors\":\"I. Ibrahim, G. Kopp, D. Sills\",\"doi\":\"10.1175/jtech-d-22-0028.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nThe current study develops a variant of the VAD method to retrieve thunderstorm peak event velocities using low-elevation WSR-88D radar scans. 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引用次数: 0
摘要
目前的研究开发了一种VAD方法的变体,使用低仰角WSR-88D雷达扫描来检索雷暴峰值事件速度。主要挑战与雷暴风的局部性质有关,这使单多普勒反演变得复杂,因为它要求使用有限的空间尺度。由于VAD方法假设拟合剖面中的速度恒定,因此检索剖面不包含背景流是很重要的。因此,当前的研究提出了一种图像处理方法,将扫描划分为表示事件和背景流的区域,这些区域可以独立检索。该研究将检索到的峰值速度与使用另一种VAD方法的检索结果进行了比较。所提出的技术被发现可以估计更接近ASOS测量读数的峰值事件速度,使其更适合于历史分析。该研究还比较了距离雷达不到10公里的19个雷达ASOS站组合的2600多个雷暴事件的检索结果。ASOS读数和雷达检索的峰值事件速度的概率分布的比较表明,距离雷达4公里以内的台站具有良好的一致性,而与ASOS速度相比,更远的台站对检索速度的偏差更大。速度大小的平均绝对误差随着高度在1.5和4.5 m s−1之间的变化而增加。基于平均误差的指数趋势提出的校正方法被证明可以改进概率分布的比较,特别是对于更高的速度幅度。
Retrieval of Peak Thunderstorm Wind Velocities using WSR-88D Weather Radars
The current study develops a variant of the VAD method to retrieve thunderstorm peak event velocities using low-elevation WSR-88D radar scans. The main challenge pertains to the localized nature of thunderstorm winds which complicates single-Doppler retrievals as it dictates the use of a limited spatial scale. Since VAD methods assume constant velocity in the fitted section, it is important that retrieved sections do not contain background flow. Accordingly, the current study proposes an image processing method to partition scans into regions, representing events and the background flows, that can be retrieved independently. The study compares the retrieved peak velocities to retrievals using another VAD method. The proposed technique is found to estimate peak event velocities that are closer to measured ASOS readings, making it more suitable for historical analysis. The study also compares the results of retrievals from over 2600 thunderstorm events from 19 radar-ASOS station combinations that are less than 10 km away from the radar. Comparisons of probability distributions of peak event velocities for ASOS readings and radar retrievals showed good agreement for stations within 4 km from the radar while more distant stations had a higher bias towards retrieved velocities compared to ASOS velocities. The mean absolute error for velocity magnitude increases with height ranging between 1.5 and 4.5 m s−1. A proposed correction based on the exponential trend of mean errors was shown to improve the probability distribution comparisons, especially for higher velocity magnitudes.
期刊介绍:
The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.