A micro-macro variant of the parallel-in-time algorithm Parareal has been applied to the ocean-circulation and sea-ice model model FESOM2. The state-of-the-art software in climate research has been developed by the Alfred-Wegener-Institut (AWI) in Bremen, Germany. The algorithm requires two meshes of low and high spatial resolution to define the coarse and fine propagator. As a first assessment we refined the PI mesh, increasing its resolution by factor 4. The main objective of this study was to demonstrate that micro-macro Parareal can provide convergence in diagnostic variables in complex climate research problems. After the introduction to FESOM2 we show how to generate the refined mesh and which interpolation methods were chosen. With the convergence results presented we discuss the success of this attempt and which steps have to be taken to extend the approach to current research problems.

翻译：对并行时间算法Parareal的微-宏变种进行了应用，将其用于海洋环流及海冰模型FESOM2。该气候研究领域的尖端软件由德国不来梅的阿尔弗雷德·魏格纳研究所（AWI）开发。该算法需要两套不同空间分辨率的网格来定义粗、细传播子。作为初步评估，我们对PI网格进行细化，将其分辨率提升4倍。本研究的主要目标是证明微-宏Parareal能够在复杂气候研究问题中实现诊断变量的收敛。在介绍FESOM2后，我们展示了如何生成细化网格以及所选用的插值方法。结合收敛性结果，我们讨论了本次尝试的成功之处，以及需要采取哪些步骤将该方法拓展至当前研究问题。