An adaptative process based model framework for water-, energy- and mass cycles in lower mesoscale catchments

我们提出了一个名为CAOS（集水区作为有组织系统）的自适应模型框架，该框架基于基本功能单元（efu），它们在水文功能方面被认为是同质的。这些efu沿着时间不变的引线结构排列在景观中，如链。根据当前的边界条件、内部状态和外部驱动因素，efu将被分组为称为动态功能单元（dfu）的组。dfu被认为在控制能量交换的过程和结构方面具有类似的功能，或者在降雨驱动的条件下，控制垂直和横向流动过程。因此，整个集合中的动态可以通过模拟单个或几个代表的动态来表示。这将把计算工作量减少到最低限度，并在理想情况下允许应用CAOS模型来改善中尺度下的水文实践。模型对象的大多数必要过程描述将基于单个子项目中不断增长的洞察力和不断增长的数据集进行迭代地细化。项目S将进一步发展和维护结构，以管理研究单位所需和产生的所有数据，并经常组织会议，以维持参与项目之间的知识转移。

We suggest an adaptive model framework named CAOS (Catchments As Organized Systems) that is based on elementary functional units (EFUs), which are regarded as homogeneous with respect to their hydrological functioning. These EFUs are arranged along time invariant lead structures in the landscape such as the catena. Depending on the prevailing boundary conditions, their internal states and external drivers, EFUs will be grouped into sets named dynamic functional units (DFUs). DFUs are deemed to function similarly with respect to the processes and structures that dominate either energy exchange or, under rainfall-driven conditions, vertical and lateral flow processes. Thus, dynamics in the entire set can be represented by simulating dynamics for a single or a few representatives. This will reduce computational effort to a minimum amount and ideally allows application of the CAOS model for improving hydrological practice at the lower mesoscale. Most of the necessary process descriptions for the model objects will be iteratively refined based on growing insights and growing data sets in the individual sub projects. Project S will furthermore develop and maintain structures to manage all data required for and produced by the research unit and organise frequent meetings to sustain knowledge transfer among the participating projects.