DOI: 10.1016/j.atmosres.2017.10.006
Scopus记录号: 2-s2.0-85033670511
论文题名: Fuzzy-logic detection and probability of hail exploiting short-range X-band weather radar
作者: Capozzi V. ; Picciotti E. ; Mazzarella V. ; Marzano F.S. ; Budillon G.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2018
卷: 201 起始页码: 17
结束页码: 33
语种: 英语
英文关键词: Data processing
; Detection methods
; Hailstorm
; Urban hydrometeorology
; Weather radar
; X-band
Scopus关键词: Computer circuits
; Data handling
; Data processing
; Discriminant analysis
; Fuzzy logic
; Membership functions
; Meteorological radar
; Precipitation (meteorology)
; Probability
; Radar
; Reflection
; Storms
; Temperature measurement
; Detection methods
; Fuzzy logic approach
; Hailstorm
; Hydrometeorology
; Linear discriminant analysis
; Relative operating characteristics
; X bands
; X-band weather radar
; Radar measurement
; data processing
; detection method
; fuzzy mathematics
; hail
; hydrometeorology
; probability
; radar
; urban climate
; Campania [Italy]
; Italy
; Naples
; Napoli [Campania]
英文摘要: This work proposes a new method for hail precipitation detection and probability, based on single-polarization X-band radar measurements. Using a dataset consisting of reflectivity volumes, ground truth observations and atmospheric sounding data, a probability of hail index, which provides a simple estimate of the hail potential, has been trained and adapted within Naples metropolitan environment study area. The probability of hail has been calculated starting by four different hail detection methods. The first two, based on (1) reflectivity data and temperature measurements and (2) on vertically-integrated liquid density product, respectively, have been selected from the available literature. The other two techniques are based on combined criteria of the above mentioned methods: the first one (3) is based on the linear discriminant analysis, whereas the other one (4) relies on the fuzzy-logic approach. The latter is an innovative criterion based on a fuzzyfication step performed through ramp membership functions. The performances of the four methods have been tested using an independent dataset: the results highlight that the fuzzy-oriented combined method performs slightly better in terms of false alarm ratio, critical success index and area under the relative operating characteristic. An example of application of the proposed hail detection and probability products is also presented for a relevant hail event, occurred on 21 July 2014. © 2017 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/108986
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Department of Science and Technology, University of Naples “Parthenope”, Centro Direzionale di Napoli80143, Italy; Centre of Excellence CETEMPS, University of L'Aquila67100, Italy; Dept. of Information Engineering, Sapienza University of Rome00184, Italy
Recommended Citation:
Capozzi V.,Picciotti E.,Mazzarella V.,et al. Fuzzy-logic detection and probability of hail exploiting short-range X-band weather radar[J]. Atmospheric Research,2018-01-01,201