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

低中尺度流域水、能量和质量循环的基于自适应过程的模型框架

• 批准号: 200781260
• 负责人: Professor Dr.-Ing. Erwin Zehe
• 金额: --
• 依托单位: Lehrstuhl für Hydrologie
• 依托单位国家: 德国
• 项目类别: Research Units
• 财政年份: 2011
• 资助国家: 德国
• 起止时间: 2010-12-31 至 2014-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/200781260?language=en
• 关键词: adaptative; process; based; model; framework

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.

我们提出了一个自适应模型框架CAOS（流域作为有组织的系统），这是基于基本功能单元（EFU），这被认为是同质的水文功能。这些EFU沿诸如链的景观中的时不变引线结构沿着布置。根据现行的边界条件，其内部状态和外部驱动程序，EFU将被分组为集命名为动态功能单元（DFU）。DFU被认为是功能类似的过程和结构，占主导地位的能量交换，或在垂直驱动的条件下，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。这将减少计算工作量到最低限度，理想情况下，允许应用CAOS模型，以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各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改进。计划S会进一步发展和维持有关架构，以管理研究单位所需和所产生的所有数据，并经常举行会议，以维持参与计划之间的知识转移。