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Visualization of water vapor distribution in the lower atmosphere using two lidars
M. Kubo,K. Nakamura,K. Muramoto,T. Ohigashi,T. Shinoda,Y.Fujiyoshi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Water vapor distribution in the lower atmosphere was observed using two optical lidars (ceilometer) set up at the distance of 3.1 km. Range height indicator (RHI) display was constructed from two time series data measured by each lidar. The instruments were also included small vertical radar and snowfall gauge. All the data were displayed on the same coordinate system to compare the profiles with time synchronization. To examine horizontal distribution of water vapor (cloud) widely, conventional weather radar was also used. Combination of all these instruments and methods will be potent system for understanding lower atmospheric structure.
Shape classification of snow particle into snowflake and graupel using image processing
M. Kubo,K. Seto,K. Muramoto,Y. Fujiyoshi,T. Shinoda,T. Ohigashi 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Classification of snowflakes is important in the investigation of the growth process of snow particles and radar meteorology, etc. This paper proposes an automatic image processing method for classification of falling snow particles. A side view of natural falling snow particles was photographed by IEEE1394 camera (1280 × 960 pixel) with a shutter speed of 1/10000 s. To obtain shape parameters, both a binary and a gray-level image of each particle were recorded continuously. Each particle was classified into a graupel or a snowflake by statistical classification procedure using image features. The proposed method has been successfully tested in snowfall, obtaining the percentages of snowflakes and graupels at 1 min interval.