详情

原文传递 Detection Probability Modeling for Airport Wind-Shear Sensors.

题名：	Detection Probability Modeling for Airport Wind-Shear Sensors.
作者：	Cho-J.Y.N.; Hallowell-R.G.
关键词：	Wind-shear; Detection-; *Airports-.;Radar-detection; Meteorological-radar; Gusts-; Anemometers-; Modeling-; Probability-theory; Statistical-data; Air-traffic-control.
摘要：	An objective terminal wind-shear detection probability estimation model is developed for radar, lidar, and sensor combinations. The model includes effects of system sensitivity, site-specific wind-shear, clutter, and terrain blockage characteristics, range-aliased obscuration statistics, antenna beam filling and attenuation, and signal processing differences, which allow a sensor- and site-specific performance analysis of deployed and future systems. The study covers 161 airports in the United States. Sensors considered are the TDWR, ASR-9 WSP, LLWAS, NEXRAD, a Doppler lidar, and a proposed X-band radar. The results show that the TDWR is the best single-sensor performer for microburst and gust-front detection. On its own, the ASR-9 WSP cannot provide the required 90%microburst detection probability at many airports, even after the planned upgrade to its clutter suppression capability. The NEXRAD is too far away at a majority of airports to provide adequate wind-shear detection coverage. The typical LLWAS detection probability for micrbursts is low (-50%), because the anemometers usually only covered a fraction of the ARENAs. Although the lidar by itself does not yield impressive wind-shear detection statistics, in combination with a radar it is projected to form an optimal configuration for wind-shear detection over the ARENAs and beyond. An LLWAS added to a radar also improves the microburst detection probability over the ARENAs, but not to the same extent as a lidar if the radar detection probability is not very high. The LLWAS also cannot contribute to wide-area surveillance (beyond the ARENAs) because it is a collection of localized in situ instruments.
报告类型：	科技报告