Coupling a multiscale stochastic precipitation model to large-scale atmospheric flow dynamics (A01)

针对气候变化研究中大气大尺度流动的有效模拟，本项目的目标是建立一个小尺度的对流活动的随机模式，如降水，并描述大尺度的对流反馈。这导致了在确定性大气流动模型中嵌入对流的随机概念描述的混合模型。为了实现这些目标，我们继续开发大气稳定性指标，我们应用并同时开发相干集合分析，我们使用基于数据的非线性系统识别和研究。

Aiming at the efficient modelling of atmospheric large-scale flow for climate change studies, the objectives of this project are to develop a small-scale stochastic model for convective activity, such as precipitation, and to describe convective feedback to the large scale. This leads to a hybrid model with a stochastic conceptual description of convection embedded in a deterministic atmospheric flow model. Towards these aims, we continue the development of an atmospheric stability indicator, we apply and simultaneously develop coherent set analysis, and we use data-based identification and investigation of non-linear systems.