دورية أكاديمية

Performance of windshear/microburst detection algorithms using numerical weather prediction model data for selected tropical cyclone cases

التفاصيل البيبلوغرافية
العنوان: Performance of windshear/microburst detection algorithms using numerical weather prediction model data for selected tropical cyclone cases
المؤلفون: P. W. Chan, K. K. Lai, W. Kong, S. M. Tse
المصدر: Atmospheric Science Letters, Vol 24, Iss 9, Pp n/a-n/a (2023)
بيانات النشر: Wiley, 2023.
سنة النشر: 2023
المجموعة: LCC:Meteorology. Climatology
مصطلحات موضوعية: field campaigns, forecasting (methods), regional and mesoscale modelling, tools and methods, Meteorology. Climatology, QC851-999
الوصف: Abstract Three windshear/microburst detection algorithms are used operationally at the Hong Kong International Airport. Their performance is studied in the present article by assuming the availability of the complete set of meteorological data from numerical weather prediction model output. Only selected tropical cyclone cases are considered. The performance is evaluated using pilot reports of windshear. It turns out that the glide path scan windshear detection algorithm has the best overall performance by considering the area under curve using the relative operating characteristic curves. This may be related to the better geometry in covering the glide paths of the airport for this particular algorithm.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1530-261X
Relation: https://doaj.org/toc/1530-261X
DOI: 10.1002/asl.1173
URL الوصول: https://doaj.org/article/1108f425fa044c67814413aa4f4430db
رقم الأكسشن: edsdoj.1108f425fa044c67814413aa4f4430db
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1530261X
DOI:10.1002/asl.1173