计算物理 ›› 1992, Vol. 9 ›› Issue (S2): 765-766.

• 论文 • 上一篇    下一篇

天气预报的动力-随机差分模式

曹鸿兴1, 朱盛明2, 蒋维东3   

  1. 1. 中国气象科学研究所, 北京 100081;
    2. 江苏省气象科学研究所, 南京 210008;
    3. 成都气象学院气象研究所, 成都 610041
  • 收稿日期:1992-06-27 出版日期:1992-12-31 发布日期:1992-12-31

DYNAMIC-STOCHASTIC MODEL OF WEATHER FORECASTING

Cao Hongxing1, Zhu Shengming2, Jiang Weidong3   

  1. 1. Chinese Academy of Meteorological Sciences, 100081;
    2. Jiangsu Provincial Institute of Meteorological Sciences, 210008;
    3. Chengdu Institute of Meteororology, 610041
  • Received:1992-06-27 Online:1992-12-31 Published:1992-12-31

摘要: 把天气预报提为气象场的演化问题,通过对偏微分方程中时间项的统计离散化,导得了使用多个起始场资料的预报模式。用正压模式和两层斜压模式的动力-随机差分格式分别进行了中期和月预报试验,效果与数值模式不相上下。

关键词: 天气预报, 随机差分, 决定-随机模式

Abstract: As weather forecasting is summed up as a problem of evolution of meteorological field, a forceasting model is derived by using a statistic discretization for the time differential term in a partial differnetial equation. Medium-range and month weather forecasting experiments are made with dynamic-stochastic difference schemes of barotropic model and two-layer baroclinic model respectively, forecast accuracy of models is comparable to a mumerical model.

Key words: weather forecasting, stochastic difference, deterministic-stochastic model