具有不稳定动力的预报同化过程的渐近行为
Asymptotic behavior of the forecast-assimilation process with unstable dynamics
摘要：
大量的数值证据表明，观测同化对数值天气预报和其他领域的不稳定动力学具有稳定作用。在本文中，我们应用严格的数学方法来说明为什么会这样。我们的稳定结果不假设一组完整的观察，我们提供的例子，它足以观察模型的不稳定的自由度。
英文摘要：
Extensive numerical evidence shows that the assimilation of observations has a stabilizing effect on unstable dynamics, in numerical weather prediction and elsewhere. In this paper, we apply mathematically rigorous methods to showing why this is so. Our stabilization results do not assume a full set of observations and we provide examples where it suffices to observe the model's unstable degrees of freedom.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
