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。
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.
出处
《计算物理》
CSCD
北大核心
1992年第A02期765-766,共2页
Chinese Journal of Computational Physics
关键词
天气预报
差分格式
随机模式
weather forecasting, stochastic difference, deterministic-stochastic model
