Abstract
Convective storms are dangerous atmosphere hazards often accompanied by heavy rain and strong wind. Despite their short life time and small spatial scale, Doppler weather radars can provide a 3-D high temporal and spatial resolution of continuous measurement. Thus, a combination of identification, tracking and nowcasting of convective storms based on radar data is one of the most important meteorological methodologies. However, most forecasting algorithms only use extrapolating techniques and do not reflect storm shape changes, making forecasting result unreliable. Thus, this paper presents a new method, namely level set, to forecast storms with storm cell shape changes concerned. As a result, forecasting precision is improved.
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