DOI: 10.1002/jgrd.50214
论文题名: Classification of convective/stratiform echoes in radar reflectivity observations using a fuzzy logic algorithm
作者: Yang Y. ; Chen X. ; Qi Y.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 4 起始页码: 1896
结束页码: 1905
语种: 英语
英文关键词: Classification
; Convective
; Fuzzy Logic
; Radar reflectivity
; Stratiform
Scopus关键词: Algorithms
; Calibration
; Classification (of information)
; Doppler radar
; Fuzzy logic
; Meteorological radar
; Rain
; Alternative methods
; Convective
; Fuzzy logic algorithms
; Radar reflectivities
; Stratiform
; Three-dimensional radars
; Weighted degree
; Weighting coefficient
; Reflection
; algorithm
; atmospheric convection
; calibration
; classification
; data set
; Doppler radar
; fuzzy mathematics
; rainfall
; reflectivity
; stratiform cloud
; China
英文摘要: In radar reflectivity observations, the convective and stratiform rain types always have poorly defined boundaries, which caused problem for rain classification. A fuzzy logic (FL) algorithm is developed to classify convective and stratiform rainfall based on the radar reflectivity observations in the next three steps: First, the algorithm is calibrated on Hefei Doppler radar site in China. Four features are selected based on a dataset for calibration, which spanned the period from 29 June to 23 July 2003; and the features basically represent a subjective choice of characteristics that are expected to distinguish different rain types. In the second step, membership functions are used to determine the degree to which each feature belongs to each rain type in the fuzzification process. Finally, the degree of fuzzification for each input feature is multiplied by predetermined weighting coefficients. The weighted degrees of the fuzzification are aggregated to produce a single value for each rain type. The aggregation can represent the possibility of classified rainfall type, and larger value reveals the higher potential for a particular class. The FL algorithm has been applied to four typical independent individual cases collected by Hefei Doppler radar, which have not been included in the database for calibration. Results show that the classification using the proposed FL algorithm is physically reasonable according to the analysis of three-dimensional radar reflectivity patterns, implying that the proposed FL algorithm has a great potential for the precipitation classification. Key PointsFL is flexible and capable of combining a variety of different input features.FL approach can express the classifications in a probabilistic way.FL algorithm can be an alternative method for precipitation classification. © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63916
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, No.222 TianShui South Road, Lanzhou City, Gansu Province, 730000, China; College of Atmospheric Science, Nanjing University of Information Science and Technology, Nanjing, China
Recommended Citation:
Yang Y.,Chen X.,Qi Y.. Classification of convective/stratiform echoes in radar reflectivity observations using a fuzzy logic algorithm[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(4)