Thursday, 17 September 2015
Oklahoma F (Embassy Suites Hotel and Conference Center )
Linear mesoscale convective systems is an important part of disastrous weather, it makes an effect on people's life and production, to meet the business sector to severe weather forecasts and warnings, nowcasting and automatic identification becomes more urgent. Based on observations of radar network,based on automatic identification and tracking MCSs(mesoscale convective systems),long axis of MCSs was used to design dynamic templet and score function in order to complete the algorithm for automatically identifying linear MCSs. The performance of the algorithm is evaluated by applying in several different types of convection cases. The results demonstrate that the algorithm can automatically identify linear MCSs and behave well, even the convective system change rapidly as a result of splitting or merging. The algorithm can track linear MCSs system normally well, but when splitting or merging occurs it can not do so well.
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