This method firstly determines ensemble similitude by stepwise aggregation to define the influencing radius of members forecast fields, then determines the weight coefficient of every member according to the similitude degree of one member to other member
This method firstly determines ensemble similitude by stepwise aggregation to define the influencing radius of members forecast fields, then determines the weight coefficient of every member according to the similitude degree of one member to other member
该方法首先采用逐级归并法确定集合成员的总体相似度，进而确定集合成员预报场的延伸半径，对各成员的预报场进行修正，然后根据每个成员与其他成员的相似程度，确定各成员的权重系数。