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

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:
$0.0万
依托单位:
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
项目状态:
已结题
起止时间:
2010-12-31 至 2014-12-31

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中文摘要
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英文摘要
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.
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国内基金
海外基金
Neural Process模型的多样化高保真技术研究
磁转动超新星爆发中weak r-process的关键核反应
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  • 批准号:
    82371798
  • 项目类别:
    面上项目
  • 资助金额:
    49.00万元
  • 批准年份:
    2023
  • 负责人:
    叶俊娜
  • 依托单位:
富营养化藻分段式水热液化过程营养元素N迁移及低N成油机制