The methods of the predictor selection in the temperature forecast, the determination of the initial value in the filter process and the revision of the recurrence coefficient are introduced.
介绍了利用卡尔曼滤波制作温度预报的一种因子选取方法和滤波过程中初值的确定、递推系数修正的处理办法。
The test result shows that the forecast efficiency is strongly determined by the initial value of the mesoscale moisture at the mid level and low level.
试验结果表明，模式降水预报效果强烈地依赖于中低层中尺度水汽初值。
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