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一、引言 天气预报以及气象学领域中许多其它的重要应用现在都广泛地使用着数值模式。通过对过去三十多年来发展的大量单个模式的自然选择,逐渐形成了目前实用的最好模式。科学文献中叙述的大气模式含有大量的时间积分格式,在这些模式中使用的各种数值方法也应用到了这种进化过程。在显式算法中,蛙跃格式曾引起许多模式设计者的注意,因为这种格式具有一些吸引人的特点,所以在很多数值模式中现在仍还使用它。与大多数积分算法一样,蛙跃格式是条件稳定的,这个条件规定了时间步长大小的上限,使用这个条件可以得到成功的积分。
I. INTRODUCTION Numerical models are now widely used in weather forecasting and many other important applications in meteorology. Through the natural selection of a large number of individual models that have developed over the past three decades, the best model currently practically used has come into being. The atmospheric models described in the scientific literature contain a large number of time integral formats, and various numerical methods used in these models are also applied to this evolutionary process. In explicit algorithms, the froggy format has drawn the attention of many pattern designers because it has some appealing features, so it’s still used in many numerical modes. Like most integral algorithms, the frog-lemma format is conditionally stable. This condition specifies the upper limit of the size of the time step. Using this condition, you can get a successful score.