水成物分析及在数值模式中的应用综述

A REVIEW OF THE ANALYSIS OF MOISTURE VARIABLES AND THE APPLICATION IN NUMERICAL MODELS

由于高分辨模式中显式微物理过程的应用,有必要对显式预报的云水、雨水等水成物作初始场分析。加入水成物的初始条件不仅对模式整体预报能力有明显影响,而且由于动力场和热力场更加协调,可减少模式初始启动时间,提高模式短时预报能力。现有探测能力的提高、探测资料的丰富,促使水成物的分析方法有很大的发展。本文对现有的水成物分析的一些方法进行了介绍,并对应用于数值模式中的应用情况及要注意的问题作分析。

The application of the explicit microphysical process in the high-resolution mesoscale numerical models makes it necessary to analyze the moisture variables such as the cloud water and rain water to initialize the explicit predicted fields. While the inclusion of moisture variables in initial fields can influence the whole performance of the model significantly, it can also reduce the spin-up time and increase the short-term forecasting ability of the model since the dynamical fields become more accordant with the thermodynamic fields. Now the increase of the observing ability and the abundance of the data promote the development of ways to analyze the moisture variables. A review of some methods to analyze the moisture variables is presented, and the situation and problems of the application in the numerical models are also discussed in this paper.