消除噪音和速度模糊、进行水平风场的反演并检验是正确使用和充分利用多普勒雷达探测资料的前提。
The preconditions to make best use of the Doppler radar data includes the noise removing, velocity ambiguity distinguishing, horizontal wind field retrieving and exactness verifying.
利用多普勒雷达资料，采用一种改进后的交叉相关法(COTREC)建立了一种降水临近预报方法。
Using Doppler radar data, an algorithm for precipitation nowcast is set up by applying an improved cross-correlation extrapolation method (COTREC).
利用多普勒雷达体扫描资料对风暴进行实时地自动识别、跟踪、结构分析和临近预报。
A methodology is presented for the real time, automated identification, structure analysis, tracking and short range forecasting of storms with Doppler weather radar volume scan data.
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