An Automated Velocity Dealiasing Scheme for Radar Data Observed from Typhoons and Hurricanes
العنوان: | An Automated Velocity Dealiasing Scheme for Radar Data Observed from Typhoons and Hurricanes |
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المؤلفون: | Guangxin He, Zhuming Ying, Juanzhen Sun |
المصدر: | Journal of Atmospheric and Oceanic Technology. 36:139-149 |
بيانات النشر: | American Meteorological Society, 2019. |
سنة النشر: | 2019 |
مصطلحات موضوعية: | Scheme (programming language), Atmospheric Science, 010504 meteorology & atmospheric sciences, Meteorology, 010505 oceanography, Data interpretation, Ocean Engineering, Numerical weather prediction, 01 natural sciences, law.invention, Data assimilation, Downstream (manufacturing), law, Typhoon, Environmental science, Radar, computer, 0105 earth and related environmental sciences, computer.programming_language |
الوصف: | Accurate and automated dealiasing of radar data is important for data interpretation and downstream applications such as numerical weather prediction (NWP) models. In this paper an improved radial velocity dealiasing scheme is presented and evaluated using observations from several S-band radars under the severe weather conditions of typhoons and hurricanes. This scheme, named Automated Dealiasing for Typhoon and Hurricane (ADTH), is a further development of the China New Generation Doppler Weather Radar (CINRAD) improved dealiasing algorithm (CIDA). The upgraded algorithm ADTH includes three modules designed to select the first radial from which the dealiasing process starts, to conduct a two-way multipass dealiasing, and to perform an error check for a final local dealiasing. The dealiasing algorithm is applied to two typhoon hurricane cases and four typhoon cases observed with radars from CINRAD, NEXRAD of the United States, and the Taiwan radar network for a continuous period of 12 h for each of the selected cases. The results show that ADTH outperforms CIDA for all of the test cases. |
تدمد: | 1520-0426 0739-0572 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::623cc8fd59ad8dbe45463ce8aa1d4fbe https://doi.org/10.1175/jtech-d-17-0165.1 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.doi...........623cc8fd59ad8dbe45463ce8aa1d4fbe |
قاعدة البيانات: | OpenAIRE |
تدمد: | 15200426 07390572 |
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