Abstract
Both the convective and stratiform regions take an important role in the precipitation. Correct recognition of them facilitates precise prediction of the rainfall amount and duration. An automatic algorithm for the partitioning of radar reflectivity into convective and stratiform rain classifications named WLS was developed. Theory of abrupt-change detection based on wavelet analysis was adopted in this algorithm. First,wavelet transform was carried out on preprocessed raw reflectivity data and echo top data. Second,the singularity detection of modulus maximum value was done and noise points were filtered too. Finally,the edge was detected and convective region was filled by using mathematical morphology. Experiment uses the representative squall line on 2150 UTC 25 August 2008 and mixed precipitation 2222 UTC 8 August 2008 at Hohhot. Compared with WLS algorithm,BL algorithm and SHY95 algorithm,the experimental results show that WLS algorithm is more effective,and it can exactly partition the regions of convective clouds and restrain noise points.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
